<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN"  "JATS-archivearticle1-3-mathml3.dtd"><article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.3"><front><journal-meta><journal-id journal-id-type="nlm-ta">elife</journal-id><journal-id journal-id-type="publisher-id">eLife</journal-id><journal-title-group><journal-title>eLife</journal-title></journal-title-group><issn publication-format="electronic" pub-type="epub">2050-084X</issn><publisher><publisher-name>eLife Sciences Publications, Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">103879</article-id><article-id pub-id-type="doi">10.7554/eLife.103879</article-id><article-id pub-id-type="doi" specific-use="version">10.7554/eLife.103879.3</article-id><article-version article-version-type="publication-state">version of record</article-version><article-categories><subj-group subj-group-type="display-channel"><subject>Research Article</subject></subj-group><subj-group subj-group-type="heading"><subject>Neuroscience</subject></subj-group></article-categories><title-group><article-title>Rab10 inactivation promotes AMPAR trafficking and spine enlargement during long-term potentiation</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Wang</surname><given-names>Jie</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-3530-5029</contrib-id><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="pa1">†</xref><xref ref-type="fn" rid="con1"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Nishiyama</surname><given-names>Jun</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-3627-8114</contrib-id><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="pa2">‡</xref><xref ref-type="fn" rid="con2"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Parra-Bueno</surname><given-names>Paula</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con3"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Okaz</surname><given-names>Elwy</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="pa3">§</xref><xref ref-type="fn" rid="con4"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Oz</surname><given-names>Goksu</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con5"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Liu</surname><given-names>Xiaodan</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con6"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Watabe</surname><given-names>Tetsuya</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con7"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Suponitsky-Kroyter</surname><given-names>Irena</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con8"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>McGraw</surname><given-names>Timothy E</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-9748-263X</contrib-id><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="con9"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author"><name><surname>Szatmari</surname><given-names>Erzsebet M</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-2914-6148</contrib-id><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="pa4">#</xref><xref ref-type="fn" rid="con10"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Yasuda</surname><given-names>Ryohei</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-6263-9297</contrib-id><email>ryohei.yasuda@mpfi.org</email><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con11"/><xref ref-type="fn" rid="conf2"/></contrib><aff id="aff1"><label>1</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/00py81415</institution-id><institution>Department of Neurobiology, Duke University School of Medicine</institution></institution-wrap><addr-line><named-content content-type="city">Durham</named-content></addr-line><country>United States</country></aff><aff id="aff2"><label>2</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02rbfnr22</institution-id><institution>Neuronal Signal Transduction Group, Max Planck Florida Institute for Neuroscience</institution></institution-wrap><addr-line><named-content content-type="city">Jupiter</named-content></addr-line><country>United States</country></aff><aff id="aff3"><label>3</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02r109517</institution-id><institution>Weill Cornell Medicine Graduate School of Medical Sciences</institution></institution-wrap><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib-group><contrib-group content-type="section"><contrib contrib-type="editor"><name><surname>Nelson</surname><given-names>Sacha B</given-names></name><role>Reviewing Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/05abbep66</institution-id><institution>Brandeis University</institution></institution-wrap><addr-line><named-content content-type="city">Waltham</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="senior_editor"><name><surname>Nelson</surname><given-names>Sacha B</given-names></name><role>Senior Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/05abbep66</institution-id><institution>Brandeis University</institution></institution-wrap><addr-line><named-content content-type="city">Waltham</named-content></addr-line><country>United States</country></aff></contrib></contrib-group><author-notes><fn fn-type="present-address" id="pa1"><label>†</label><p>Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong, China</p></fn><fn fn-type="present-address" id="pa2"><label>‡</label><p>Program in Neuroscience and Behavioural Disorders, Duke-NUS Medical School, Singapore, Singapore</p></fn><fn fn-type="present-address" id="pa3"><label>§</label><p>The Gilbert Family Foundation, Detroit, United States</p></fn><fn fn-type="present-address" id="pa4"><label>#</label><p>Department of Physical Therapy, East Carolina University, Greenville, United States</p></fn></author-notes><pub-date publication-format="electronic" date-type="publication"><day>23</day><month>09</month><year>2025</year></pub-date><volume>13</volume><elocation-id>RP103879</elocation-id><history><date date-type="sent-for-review" iso-8601-date="2024-10-10"><day>10</day><month>10</month><year>2024</year></date></history><pub-history><event><event-desc>This manuscript was published as a preprint.</event-desc><date date-type="preprint" iso-8601-date="2024-09-24"><day>24</day><month>09</month><year>2024</year></date><self-uri content-type="preprint" xlink:href="https://doi.org/10.1101/2022.05.17.492345"/></event><event><event-desc>This manuscript was published as a reviewed preprint.</event-desc><date date-type="reviewed-preprint" iso-8601-date="2024-12-11"><day>11</day><month>12</month><year>2024</year></date><self-uri content-type="reviewed-preprint" xlink:href="https://doi.org/10.7554/eLife.103879.1"/></event><event><event-desc>The reviewed preprint was revised.</event-desc><date date-type="reviewed-preprint" iso-8601-date="2025-03-06"><day>06</day><month>03</month><year>2025</year></date><self-uri content-type="reviewed-preprint" xlink:href="https://doi.org/10.7554/eLife.103879.2"/></event></pub-history><permissions><copyright-statement>© 2024, Wang et al</copyright-statement><copyright-year>2024</copyright-year><copyright-holder>Wang et al</copyright-holder><ali:free_to_read/><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><ali:license_ref>http://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This article is distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use and redistribution provided that the original author and source are credited.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="elife-103879-v1.pdf"/><self-uri content-type="figures-pdf" xlink:href="elife-103879-figures-v1.pdf"/><abstract><p>Rab-dependent membrane trafficking is critical for changing the structure and function of dendritic spines during synaptic plasticity. Here, we developed highly sensitive sensors to monitor Rab protein activity in single dendritic spines undergoing structural long-term potentiation (sLTP) in rodent organotypic hippocampal slices. During sLTP, Rab10 was persistently inactivated (&gt;30 min) in the stimulated spines, whereas Rab4 was transiently activated over ~5 min. Inhibiting or deleting Rab10 enhanced sLTP, electrophysiological LTP, and AMPA receptor (AMPAR) trafficking during sLTP. In contrast, disrupting Rab4 impaired sLTP only in the first few minutes and decreased AMPAR trafficking during sLTP. Thus, our results suggest that Rab10 and Rab4 oppositely regulate AMPAR trafficking during sLTP, and inactivation of Rab10 signaling facilitates the induction of LTP and associated spine structural plasticity.</p></abstract><kwd-group kwd-group-type="author-keywords"><kwd>dendritic spines</kwd><kwd>FLIM</kwd><kwd>FRET</kwd><kwd>plasticity</kwd><kwd>rab</kwd><kwd>GTPase</kwd></kwd-group><kwd-group kwd-group-type="research-organism"><title>Research organism</title><kwd>Mouse</kwd><kwd>Rat</kwd></kwd-group><funding-group><award-group id="fund1"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/00hhkn466</institution-id><institution>Japan Society for the Promotion of Science</institution></institution-wrap></funding-source><award-id>Overseas Research Fellowship 667</award-id><principal-award-recipient><name><surname>Nishiyama</surname><given-names>Jun</given-names></name></principal-award-recipient></award-group><award-group id="fund2"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/01s5ya894</institution-id><institution>National Institute of Neurological Disorders and Stroke</institution></institution-wrap></funding-source><award-id>DP1NS096787</award-id><principal-award-recipient><name><surname>Yasuda</surname><given-names>Ryohei</given-names></name></principal-award-recipient></award-group><award-group id="fund3"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/04xeg9z08</institution-id><institution>National Institute of Mental Health</institution></institution-wrap></funding-source><award-id>R01MH080047</award-id><principal-award-recipient><name><surname>Yasuda</surname><given-names>Ryohei</given-names></name></principal-award-recipient></award-group><award-group id="fund4"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/01s5ya894</institution-id><institution>National Institute of Neurological Disorders and Stroke</institution></institution-wrap></funding-source><award-id>R35NS116704</award-id><principal-award-recipient><name><surname>Yasuda</surname><given-names>Ryohei</given-names></name></principal-award-recipient></award-group><award-group id="fund5"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/04xeg9z08</institution-id><institution>National Institute of Mental Health</institution></institution-wrap></funding-source><award-id>R01MH095090</award-id><principal-award-recipient><name><surname>Nishiyama</surname><given-names>Jun</given-names></name><name><surname>Yasuda</surname><given-names>Ryohei</given-names></name></principal-award-recipient></award-group><funding-statement>The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.</funding-statement></funding-group><custom-meta-group><custom-meta specific-use="meta-only"><meta-name>Author impact statement</meta-name><meta-value>Rab10 and Rab4 bidirectionally regulate AMPA receptor trafficking and spine structural plasticity during long-term potentiation by exhibiting opposing and temporally distinct activity patterns in stimulated dendritic spines.</meta-value></custom-meta><custom-meta specific-use="meta-only"><meta-name>publishing-route</meta-name><meta-value>prc</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Structural long-term potentiation (sLTP) is the structural basis of long-term potentiation (LTP) and plays a critical role in learning and memory (<xref ref-type="bibr" rid="bib21">Goto et al., 2021</xref>; <xref ref-type="bibr" rid="bib29">Hayashi-Takagi et al., 2015</xref>; <xref ref-type="bibr" rid="bib49">Matsuzaki et al., 2004</xref>). Upon electrical synaptic stimulation or glutamate uncaging, Ca<sup>2+</sup> influx through NMDA-type glutamate receptors (NMDARs) into dendritic spines triggers diverse downstream signaling cascades, including Ca<sup>2+</sup>/calmodulin-dependent protein kinase II (CaMKII) and extracellular signal-regulated kinase (ERK), which lead to the increase in spine volume and synaptic efficacy (<xref ref-type="bibr" rid="bib56">Nishiyama and Yasuda, 2015</xref>; <xref ref-type="bibr" rid="bib63">Patterson and Yasuda, 2011</xref>). sLTP has two distinct phases: it starts with a rapid and transient spine enlargement over the first few minutes (transient phase), followed by a sustained enlargement over hours (sustained phase) (<xref ref-type="bibr" rid="bib49">Matsuzaki et al., 2004</xref>; <xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>). Different pharmacological or genetic manipulations can selectively inhibit these two phases, indicating distinct induction mechanisms (<xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>). The sustained phase is known to be coupled with LTP, while the physiological role of the transient phase is less clear (<xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>; <xref ref-type="bibr" rid="bib49">Matsuzaki et al., 2004</xref>). Nevertheless, the transient phase is associated with the rapid ultrastructural changes of PSD and surrounding membrane and thus may be important for the dramatic synaptic increase in the initial phase of sLTP (<xref ref-type="bibr" rid="bib76">Sun et al., 2021</xref>). In addition, the spine enlargement during the transient phase induces presynaptic potentiation through mechanical force by pushing on the presynaptic bouton (<xref ref-type="bibr" rid="bib84">Ucar et al., 2021</xref>).</p><p>During LTP and sLTP, various internal membranes are exocytosed in dendrites in an activity-dependent manner to add spine membrane area, increase surface glutamate receptors, and release plasticity-related peptides (<xref ref-type="bibr" rid="bib25">Harward et al., 2016</xref>; <xref ref-type="bibr" rid="bib45">Lledo et al., 1998</xref>; <xref ref-type="bibr" rid="bib58">Padamsey et al., 2017</xref>; <xref ref-type="bibr" rid="bib60">Park et al., 2004</xref>; <xref ref-type="bibr" rid="bib61">Park et al., 2006</xref>). Particularly, activity-dependent synaptic delivery of GluA1 subunit of AMPA-type glutamate receptor (AMPAR) is considered one of the major mechanisms to increase postsynaptic glutamate sensitivity during LTP (<xref ref-type="bibr" rid="bib69">Shi et al., 1999</xref>; <xref ref-type="bibr" rid="bib68">Sheng and Lee, 2001</xref>; <xref ref-type="bibr" rid="bib48">Malinow and Malenka, 2002</xref>; <xref ref-type="bibr" rid="bib32">Huganir and Nicoll, 2013</xref>; <xref ref-type="bibr" rid="bib28">Hayashi et al., 2000</xref>). Several members of the postsynaptic exocytosis machinery have been identified, including the soluble NSF-attachment protein receptor (SNARE) proteins, complexin, synaptotagmins, and myosin Vb (<xref ref-type="bibr" rid="bib45">Lledo et al., 1998</xref>; <xref ref-type="bibr" rid="bib93">Wu et al., 2017</xref>; <xref ref-type="bibr" rid="bib90">Wang et al., 2008</xref>; <xref ref-type="bibr" rid="bib1">Ahmad et al., 2012</xref>; <xref ref-type="bibr" rid="bib46">Lu et al., 2001</xref>; <xref ref-type="bibr" rid="bib35">Jurado et al., 2013</xref>; <xref ref-type="bibr" rid="bib36">Kennedy et al., 2010</xref>).</p><p>Among the molecules regulating intracellular trafficking, Rab GTPases constitute the largest Ras subfamily, with more than 60 members localized to distinct intracellular domains (<xref ref-type="bibr" rid="bib99">Zerial and McBride, 2001</xref>; <xref ref-type="bibr" rid="bib74">Stenmark, 2009</xref>). As small GTPases, Rab proteins switch between two states, the guanosine-5'-triphosphate (GTP)-bound ‘active’ state and the guanosine diphosphate (GDP)-bound ‘inactive’ state. Specific guanine nucleotide exchange factors (GEFs) and GTPase-activating proteins (GAPs) regulate the conversion between these two states (<xref ref-type="bibr" rid="bib74">Stenmark, 2009</xref>). Once activated, Rab GTPases recruit diverse downstream effectors to coordinate intracellular transport during vesicle budding, movement, tethering, and fusion (<xref ref-type="bibr" rid="bib33">Hutagalung and Novick, 2011</xref>). Several members of Rab GTPases have been shown to coordinate AMPAR trafficking during synaptic plasticity (<xref ref-type="bibr" rid="bib27">Hausser and Schlett, 2019</xref>). Rab8 and Rab11 regulate the exocytosis of AMPARs during LTP (<xref ref-type="bibr" rid="bib18">Gerges et al., 2004</xref>; <xref ref-type="bibr" rid="bib5">Brown et al., 2007</xref>; <xref ref-type="bibr" rid="bib11">Correia et al., 2008</xref>), whereas Rab5 drives the endocytosis of AMPARs during long-term depression (LTD) (<xref ref-type="bibr" rid="bib4">Brown et al., 2005</xref>). Rab4 is dispensable for LTP but is required for the maintenance of spine morphology (<xref ref-type="bibr" rid="bib11">Correia et al., 2008</xref>). Rab4 also regulates both the fast and slow endosomal recycling to the plasma membrane (<xref ref-type="bibr" rid="bib86">van der Sluijs et al., 1992a</xref>; <xref ref-type="bibr" rid="bib72">Sönnichsen et al., 2000</xref>; <xref ref-type="bibr" rid="bib13">Ehlers, 2000</xref>). However, the function of other Rabs in synaptic plasticity is less known. Notably, Rab10 is expressed in dendrites (<xref ref-type="bibr" rid="bib81">Taylor et al., 2015</xref>; <xref ref-type="bibr" rid="bib44">Liu et al., 2013</xref>; <xref ref-type="bibr" rid="bib91">Wang et al., 2011</xref>; <xref ref-type="bibr" rid="bib103">Zou et al., 2015</xref>) and has been implicated in Alzheimer’s disease resilience (<xref ref-type="bibr" rid="bib80">Tavana et al., 2019</xref>; <xref ref-type="bibr" rid="bib65">Ridge et al., 2017</xref>). Thus, Rab10 is potentially involved in membrane trafficking during synaptic plasticity.</p><p>In the present study, we developed a general design of FRET/FLIM-based sensors for various Rab proteins. Among these sensors, we further focused on the spatiotemporal dynamics of Rab10 and Rab4 activity during sLTP. We found that postsynaptic stimulation leads to the persistent inactivation of Rab10 and transient activation of Rab4 in spines undergoing sLTP. These Rab activity changes are dependent on NMDAR and CaMKII activation. Moreover, knock-down analyses demonstrate that Rab10 serves as a negative regulator of sLTP, whereas Rab4 contributes to the transient phase of sLTP. In addition, postnatal deletion of Rab10 from excitatory neurons enhanced sLTP and electrophysiological LTP at Schaeffer collateral pathway. Furthermore, Rab10 negatively regulates activity-dependent GluA1 trafficking into the stimulated spines during sLTP, while Rab4 positively controls this process. Therefore, our results suggest that Rab10 inhibits AMPAR trafficking during synaptic potentiation, and NMDAR-dependent inactivation of Rab10 facilitates LTP induction. On the contrary, Rab4 promotes AMPAR trafficking during sLTP and NMDAR-dependent activation of Rab4 regulates the transient phase of sLTP.</p></sec><sec id="s2" sec-type="results"><title>Results</title><sec id="s2-1"><title>Highly sensitive and selective FRET sensors for Rab proteins</title><p>To image Rab signaling activity in single dendritic spines, we developed FRET sensors for Rab4, 5, 7, 8, and 10. The Rab sensors have two components: (1) the Rab protein tagged with a fluorescent protein that serves as a FRET donor (monomeric enhanced green fluorescent protein (mEGFP)-Rab or mTurquoise2-Rab) and (2) a Rab binding domain (RBD) from a specific effector protein that is tagged with two fluorescent proteins as FRET acceptors (mCherry-RBD-mCherry or mVenus-RBD-mVenus). When the Rab protein is activated, RBD and Rab increase their binding and thus increase FRET between the donor and acceptor fluorophores (<xref ref-type="fig" rid="fig1">Figure 1a</xref>). The fraction of Rab bound to the RBD (binding fraction) was calculated by measuring the fluorescence lifetime of the donor (<xref ref-type="bibr" rid="bib96">Yasuda, 2012</xref>; <xref ref-type="bibr" rid="bib95">Yasuda, 2006</xref>).</p><fig-group><fig id="fig1" position="float"><label>Figure 1.</label><caption><title>Design and characterization of Rab FRET sensors.</title><p>(<bold>a</bold>) Schematic diagrams illustrating the FRET sensor design for Rab proteins. RBD: Rab binding domain; GDP: guanosine diphosphate; GTP: guanosine-5'-triphosphate. (<bold>b</bold>) Representative fluorescence lifetime images of HEK 293T cells transfected with Rab wild type (WT), dominant negative (DN, Rab4a [S27N], Rab5a [S34N], Rab7a [T22N], Rab8a [S22N] and Rab10 [T23N]) and constitutively active (CA, Rab4a [Q72L], Rab5a [Q79L], Rab7a [Q67L], Rab8a [Q67L] and Rab10 [Q68L]) sensors. FRET donor/acceptor pair is mEGFP/mCherry for Rab4, 5, 7, and 8; for Rab10, FRET donor/acceptor pair is mTurquoise2/mVenus. Warmer color indicates shorter lifetime and higher activity. Scale bars represent 5 µm. (<bold>c</bold>) Quantification of binding fraction for experiments in b. Data represent mean ± SEM. N=5–33. One-way ANOVA followed by Bonferroni’s multiple comparison tests was performed (* p&lt;0.05, ** p&lt;0.01, *** p&lt;0.001, **** p&lt;0.0001). (<bold>d-h</bold>) Representative fluorescence lifetime images of individual Rab wild type sensor cotransfected with the corresponding GAP (green and blue) or GEF (red and orange) cDNAs. For GEF, Rin1, VPS39, GRAB, Dennd4c are used for Rab5, Rab7, Rab8, and Rab10. For GAP, we used breakpoint cluster region homology (BH) domain of PIK3R1 (PIK3R1-BH or PIK3R1[114-313]) for Rab4 GAP, RNTre and RabGAP5 for Rab5 GAP, TBC1D15 for Rab7, TBC1D30 and Rabin8 for Rab8, and Evi5l and Rab3gap1 for Rab10. Scale bars represent 5 µm. (<bold>i</bold>) Quantification of binding fraction change for experiments in <bold>d</bold>-<bold>h</bold>. N=3–20. Data represent mean ± SEM. (<bold>j</bold>) Activation of Rab sensors by NMDA application in rat hippocampal CA1 pyramidal neurons. Upper: representative fluorescence lifetime images of Rab sensor-expressing neurons in response to bath application of 15 µM NMDA for 2 min. Scale bar is 1 µm. Lower: quantification of binding fraction change for upper lane experiments. Data represent mean ± SEM. N=4–11 for each group.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig1-v1.tif"/></fig><fig id="fig1s1" position="float" specific-use="child-fig"><label>Figure 1—figure supplement 1.</label><caption><title>mTurquoise2-Rab4 and mEGFP-Rab10 FRET sensors in HEK 293T Cells, all Rab sensor activity changes upon NMDA application, and localization of endogenous Rab10.</title><p>(<bold>a</bold>) Representative fluorescence lifetime images of HEK 293T cells transfected with mTurquoise2-Rab4 sensors. Scale bars represent 5 µm. (<bold>b</bold>) Representative fluorescence lifetime images of HEK 293T cells transfected with mEGFP-Rab10 sensors. Scale bars represent 5 µm. (<bold>c</bold>) Binding fraction of mTurquoise2-Rab4 sensors. Data represent mean ± SEM (** p&lt;0.01, one-way ANOVA followed by Bonferroni’s multiple comparison tests). N=8, 8, and 8 from left to right. (<bold>d</bold>) Binding fraction of mEGFP-Rab10 sensors. Data represent mean ± SEM (**** p&lt;0.0001, one-way ANOVA followed by Bonferroni’s multiple comparison tests). N=32, 32, and 32 from left to right. (<bold>e</bold>) Averaged time courses of Rab sensor binding fraction change by NMDA application in rat hippocampal CA1 pyramidal neurons. Data represent mean ± SEM. N=4–11 for each group. (<bold>f</bold>) Schematics of HA-tag knockin into endogenous Rab10 by SLENDR technique. Mouse genomic loci of Rab10 show the target sites for Cas9, sgRNA, and ssODNs. The sgRNA target regions and PAM sequences are labeled with red and orange, respectively. The start codons are marked with magenta. The Cas9 cleavage sites are indicated by black arrowheads. The recombination and control primer sets are in arrows. (<bold>g</bold>) Validation of SLENDR-mediated 2XHA tag insertion into endogenous Rab10. Left: PCR genotyping in genomic DNA extracted from Neuro 2 a cells electroporated with indicated sgRNA and ssODNs. Right: Sanger sequencing demonstrated the knock-in of 2XHA tag to the N-terminus of endogenous Rab10. (<bold>h</bold>) Confocal microscopic images of the hippocampal CA1 region at P37 stained with DAPI (blue), HA tag fused to the N-terminus of endogenous Rab10 (green) and EGFP (magenta). Scale bar is 50 μm. (<bold>i</bold>) Representative images of the secondary apical dendrites of CA1 pyramidal neurons stained with HA tag fused to the N-terminus of endogenous Rab10 (green) and EGFP (magenta). Scales bar is 1 μm. (<bold>j</bold>) Representative images of endogenous Rab10 (green, SLENDR-mediated 2XHA tag knockin) and exogenous endosomal markers (magenta) in dendrites of CA1 pyramidal neurons. Exogenously expressed mEGFP-Rab5a, mCherry-Rab11a, and mEGFP-Rab7 were used as markers for early endosome, recycling endosome, and lysosome, respectively. Scale bars are 1 μm.</p><p><supplementary-material id="fig1s1sdata1"><label>Figure 1—figure supplement 1—source data 1.</label><caption><title>Original gel photos.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-103879-fig1-figsupp1-data1-v1.zip"/></supplementary-material></p><p><supplementary-material id="fig1s1sdata2"><label>Figure 1—figure supplement 1—source data 2.</label><caption><title>Original gel photos with annotations.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-103879-fig1-figsupp1-data2-v1.zip"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig1-figsupp1-v1.tif"/></fig></fig-group><p>For Rab4, 5, 7, 8, and 10, we used Rabenosyn5 [439-503], EEA1 [36-126], FYCO1 [963–1206], Rim2 [27-175], and Rim1 [20-227] as RBDs, respectively (<xref ref-type="bibr" rid="bib71">Simonsen et al., 1998</xref>; <xref ref-type="bibr" rid="bib59">Pankiv et al., 2010</xref>; <xref ref-type="bibr" rid="bib15">Fukuda, 2003</xref>; <xref ref-type="bibr" rid="bib12">Eathiraj et al., 2005</xref>). To test the sensitivity and specificity of these Rab sensors, we took three approaches. First, we transfected wild-type (WT)-Rab, dominant-negative (DN)-Rab, and constitutively active (CA)-Rab sensors in HEK 293T cells. As expected, DN-Rab and CA-Rab sensors displayed lower and higher binding fractions than the WT-Rab sensor, respectively, indicating the sensitivity of Rab sensors (<xref ref-type="fig" rid="fig1">Figure 1b and c</xref>). Particularly, Rab4 and Rab10 sensors showed significantly different binding fractions between WT- and DN- or CA-Rabs (<xref ref-type="fig" rid="fig1">Figure 1b and c</xref>). For the Rab10 sensor, we used the mTurquoise2-mVenus pair instead of the mEGFP-mCherry pair since it reported higher binding fraction differences between WT- and DN-, as well as WT- and CA-Rab10 sensors in HEK 293T cells (<xref ref-type="fig" rid="fig1">Figure 1b,c</xref>, <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1a-d</xref>; <xref ref-type="bibr" rid="bib77">Takahashi et al., 2015</xref>; <xref ref-type="bibr" rid="bib19">Goedhart et al., 2012</xref>). Second, we coexpressed a Rab sensor with the corresponding Rab GAPs or GEFs to test whether the sensor could respond to the known upstream signaling (<xref ref-type="bibr" rid="bib98">Yoshimura et al., 2010</xref>; <xref ref-type="bibr" rid="bib78">Tall et al., 2001</xref>; <xref ref-type="bibr" rid="bib66">Rink et al., 2005</xref>; <xref ref-type="bibr" rid="bib34">Itoh et al., 2006</xref>; <xref ref-type="bibr" rid="bib26">Hattula et al., 2002</xref>; <xref ref-type="bibr" rid="bib16">Fukuda et al., 2008</xref>; <xref ref-type="bibr" rid="bib7">Chamberlain et al., 2004</xref>). Indeed, these GAPs and GEFs respectively decreased and increased the activity of Rab proteins as reported by the sensor (<xref ref-type="fig" rid="fig1">Figure 1d–I</xref>). Compared with Rab5 and Rab8, Rab4, Rab7, and Rab10 sensors displayed higher binding fraction changes in response to GAPs or GEFs (<xref ref-type="fig" rid="fig1">Figure 1d–i</xref>). Third, we measured Rab activity change in response to N-Methyl-D-aspartic acid (NMDA) application in neurons (<xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>). We biolistically transfected rat organotypic hippocampal slices with each Rab sensor and imaged the proximal apical dendrites of CA1 pyramidal neurons. Bath application of NMDA (15 µM, 2 min) in zero extracellular Mg<sup>2+</sup> triggered a robust activation of Rab sensors in the dendrites, suggesting that Rab sensors could report neuronal Rab activities (<xref ref-type="fig" rid="fig1">Figure 1j</xref>). Nevertheless, these Rab sensors showed different activation kinetics upon NMDA stimulation (<xref ref-type="fig" rid="fig1">Figure 1j</xref>, <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1e</xref>). Rab4 sensor was rapidly activated, peaked at 3 min and subsequently decayed (<xref ref-type="fig" rid="fig1">Figure 1j</xref>, <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1e</xref>). On the contrary, Rab5, 7, 8, and 10 sensors displayed a gradually accumulated activation pattern, which peaked at 6–11 min and decreased afterwards (<xref ref-type="fig" rid="fig1">Figure 1j</xref>, <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1e</xref>). Notably, the Rab10 sensor was transiently inactivated in the first 2 min, possibly reflecting a fast response to NMDAR activation (<xref ref-type="fig" rid="fig1">Figure 1j</xref>, <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1e</xref>). Overall, these results demonstrate that our Rab sensor strategy is generalizable to many Rab proteins.</p></sec><sec id="s2-2"><title>Rab10 is persistently inactivated in the stimulated spines during sLTP</title><p>We biolistically transfected cultured organotypic hippocampal slices of rats with Rab10 sensor and imaged the secondary apical dendrites of CA1 pyramidal neurons. mTurquoise2-Rab10, the sensor donor, was continuously distributed in the dendrites and spines, without showing an endosomal punctate pattern (<xref ref-type="fig" rid="fig2">Figure 2a</xref>). To eliminate the effect of protein overexpression on its localization, we probed endogenous Rab10 by CRISPR-Cas9-mediated homology-directed repair (SLENDR) technique in vivo (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1f–j</xref>; <xref ref-type="bibr" rid="bib52">Mikuni et al., 2016</xref>). Endogenous Rab10 displayed a heterogeneous pattern: it is widely distributed along the dendrite and protrudes into the spines (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1i</xref>). To elucidate the subcellular compartmentalization of Rab10, we further examined its colocalization with exogenously expressed endosomal markers in vivo (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1j</xref>). Rab10 is significantly overlapped with Rab7-labeled lysosomes, partially colocalized with Rab11-labeled recycling endosomes, but separated from Rab5-labeled early endosomes (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1j</xref>).</p><fig-group><fig id="fig2" position="float"><label>Figure 2.</label><caption><title>Spatiotemporal dynamics of Rab10 inactivation during sLTP in single spines.</title><p>(<bold>a</bold>) Representative donor fluorescence intensity image (gray) and fluorescence lifetime (FLIM, colorful) images of Rab10 inactivation during sLTP induced by two-photon glutamate uncaging. Arrowheads indicate the stimulated spine. The colder color indicates longer lifetime and lower Rab10 activity. Scale bar represents 1 µm. (<bold>b</bold>) Averaged time courses of Rab10 inactivation measured as binding fraction changes between mTurquoise2-Rab10 and mVenus-Rim1 [20-277]-mVenus in the stimulated spine (red), adjacent spine (black), and dendrite (blue). Gray rectangle bar indicates glutamate uncaging (0.5 Hz, 60 s). Data are presented in mean ± SEM. N=49/42 (spine/neuron), 49/42 (spine/neuron) and 49/42 (dendrite/neuron) for the stimulated spine, adjacent spine, and dendrite, respectively. (<bold>c,d</bold>) Quantification of Rab10 binding fraction changes in the transient phase (c, averaged over 1.3–4 min) and sustained phase (<bold>d</bold>, averaged over 19–31 min) in the stimulated spine (stim), adjacent spine (adj), and dendrite (dend) for the same experiments as b. Data represent mean ± SEM. One-way ANOVA followed by Bonferroni’s multiple comparison tests was performed for the stimulated spine, adjacent spine, and dendrite (**** p&lt;0.0001). Effects of pharmacological agents on Rab10 inactivation in the stimulated spines are also presented. All pharmacological inhibition experiments were paired with controls from the same batch of slices. Data represent mean ± SEM. Student’s t-tests were performed (n.s., not significant, ** p&lt;0.01, *** p&lt;0.001, **** p&lt;0.0001). N=15/14, 13/11, 8/7, 15/12, 9/8, and 11/8 (spine/neuron) for Ctrl, AP5, scrambled, CN21, U0124, and U0126, respectively. When mTurquoise2-Rab10 was paired with a false acceptor (False), mVenus-Rabenosyn5 [439-503]-mVenus, little activity change was observed. Data represent mean ± SEM. Student’s t-tests were performed (**** p&lt;0.0001). N=7/7 and 14/9 (spine/neuron) for Ctrl and False, respectively. (<bold>e</bold>) Averaged time courses of spine volume change in the same experiment as b. Data represent mean ± SEM. (<bold>f</bold>,<bold>g</bold>) Quantification of spine volume changes in the transient phase (<bold>f</bold>, averaged over 1.3–4 min) and sustained phase (<bold>g</bold>, averaged over 19–31 min) for the same experiments as c and d. Data represent mean ± SEM. Student’s t-tests were used for all groups (n.s., not significant, * p&lt;0.05, ** p&lt;0.01, *** p&lt;0.001, **** p&lt;0.0001).</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig2-v1.tif"/></fig><fig id="fig2s1" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 1.</label><caption><title>Relationship between initial spine volume and basal Rab GTPase activity, spine volume change, or activity change during sLTP.</title><p>(<bold>a</bold> and <bold>b</bold>) Relationship between the initial spine volume and spine volume changes during the transient (a, averaged over 1.3–4 min) or sustained phase (b, averaged over 19–31 min) in neurons expressing Rab10 sensor. N=21. No significant correlation (p&gt;0.05) was found. (<bold>c</bold>) Relationship between spine volume and basal binding fraction (BBF) of Rab10 sensor. N=81. No significant correlation (p&gt;0.05) was found. (<bold>d</bold> and<bold> e</bold>) Relationship between the initial spine volume and changes in binding fraction of Rab10 sensor during the transient (d, averaged over 1.3–4 min) or sustained phase (e, averaged over 19–31 min) of sLTP in the stimulated spines. N=21. No significant correlation (p&gt;0.05) was found. (<bold>f</bold> and <bold>g</bold>) Relationship between the initial spine volume and spine volume changes during the transient (f, averaged over 1.3–4 min) or sustained phase (g, averaged over 19–31 min) in neurons expressing Rab4 sensor. N=45. No significant correlation (p&gt;0.05) was found. (<bold>h</bold>) Relationship between spine volume and basal binding fraction (BBF) of Rab4 sensor. N=90. No significant correlation (p&gt;0.05) was found. (<bold>i</bold> and <bold>j</bold>) Relationship between the initial spine volume and Rab4 activity changes during the transient (i, averaged over 1.3–4 min) or sustained phase (j, averaged over 19–31 min) of sLTP in the stimulated spines. N=45. No significant correlation (p&gt;0.05) was found. (<bold>k</bold>) Time courses of binding fraction changes for Rab4 sensor-expressing spines with initial volumes ranging from 0.1 fL to 0.4 fL (red, N=32) and 0.0–0.8 fL (black, N=45). Data are presented as mean ± SEM. (<bold>l</bold>) Time courses of volume changes for Rab4 sensor-expressing spines with initial volumes ranging from 0.1 fL to 0.4 fL (red, N=32) and 0.0–0.8 fL (black, N=45). Data are presented as mean ± SEM.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig2-figsupp1-v1.tif"/></fig><fig id="fig2s2" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 2.</label><caption><title>Binding fraction changes of mTurquoise2-Rab10 paired with false acceptor during sLTP.</title><p>(<bold>a</bold>) Averaged time course of changes in binding fraction of Rab10 sensor (Ctrl, black) in the stimulated spines during sLTP. When mTurquoise2-Rab10 was paired with a false acceptor (False, red), mVenus-Rabenosyn5 [439-503]-mVenus, little activity change was observed. Data represent mean ± SEM. N=7/7 and 14/9 (spine/neuron) for Ctrl and False, respectively. (<bold>b</bold>) Quantification of changes in binding fraction during the transient phase (1.3–4 min) and sustained phase (19–31 min) for the same experiments as in (<bold>a</bold>). Data represent mean ± SEM (**** p&lt;0.0001, Student’s t-tests). (<bold>c</bold>) Averaged time courses of changes in spine volume for the same experiments as in (<bold>a</bold>). Data represent mean ± SEM. (<bold>d</bold>) Quantification of changes in spine volume during the transient phase (1.3–4 min) and sustained phase (19–31 min) for the same experiments as in (<bold>a</bold>). Data represent mean ± SEM (n.s., not significant, Student’s t-tests). Please note the quantification data in (<bold>b</bold>) and (<bold>d</bold>) are also presented in <xref ref-type="fig" rid="fig2">Figure 2c, d, f and g</xref>.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig2-figsupp2-v1.tif"/></fig><fig id="fig2s3" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 3.</label><caption><title>Inactivation of Rab10 during sLTP induced at near physiological temperature.</title><p>(<bold>a</bold>) Averaged time courses of changes in binding fraction of Rab10 sensor in the stimulated spines during sLTP at 25–27°C (black) and 33–35°C (red). Data represent mean ± SEM. N=49/42 and 14/12 (spine/neuron) for 25–27°C and 33–35°C, respectively. (<bold>b</bold>) Quantification of changes in binding fraction in the transient phase (1.3–4 min) and sustained phase (19–31 min) for the same experiments as in (<bold>a</bold>). Data represent mean ± SEM (n.s., not significant, Student’s t-tests). (<bold>c</bold>) Averaged time courses of changes in spine volume for the same experiments as in (<bold>a</bold>). Data represent mean ± SEM. (<bold>d</bold>) Quantification of changes in spine volume during the transient phase (1.3–4 min) and sustained phase (19–31 min) for the same experiments as in (<bold>a</bold>). Data represent mean ± SEM (n.s., not significant, Student’s t-tests). Please note that the 25–27°C (black) samples in (<bold>a–d</bold>) are the same as those in <xref ref-type="fig" rid="fig2">Figure 2b and e</xref>. (<bold>e</bold> and f) Relationship between mTurquoise2-Rab10 concentration and changes in binding fraction during the transient (e, 1.3–4 min) and sustained phase (f, 19–31 min) of sLTP at 33–35°C. N=14/12 (spine/neuron). No significant correlation (p&gt;0.05) was found. (<bold>g</bold> and <bold>h</bold>) Relationship between mVenus-RBD-mVenus concentration and changes in binding fraction during the transient (g, 1.3–4 min) and sustained phase (h, 19–31 min) of sLTP at 33–35°C. N=14/12 (spine/neuron). No significant correlation (p&gt;0.05) was found.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig2-figsupp3-v1.tif"/></fig><fig id="fig2s4" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 4.</label><caption><title>Properties of basal binding fraction and binding fraction change in the stimulated spines for Rab10 and Rab4 sensors.</title><p>(<bold>a</bold>) Relationship between normalized donor intensity and spine binding fraction (BF) for Rab10 sensor. N=49/42 (spine/neuron). No significant correlation (p&gt;0.05) was found. (<bold>b</bold>) Frequency distribution of basal binding fraction in the stimulated spines (BF<sub>spine</sub>) for Rab10 sensor. N=49/42 (spine/neuron). (<bold>c</bold>) Frequency distribution of basal binding fraction difference between the spines and dendrite (BF<sub>spine</sub> - BF<sub>dendrite</sub>) for Rab10 sensor. N=49/42 (spine/neuron). (<bold>d</bold>) Averaged time course of binding fraction (BF) subtracted by basal binding fraction (BBF) of dendrite for the stimulated spines and dendrite in Rab10 sensor expressing neurons. For spines with a higher BF (high, blue) than the dendrite (high, gray), Rab10 activity decreased to a level lower than that of the dendrite during sLTP. Data represent mean ± SEM. N=21/18 (spine/neuron). For spines with a lower BF (low, red) than the dendrite (low, black), Rab10 activity still decreased during sLTP. Data represent mean ± SEM. N=28/24 (spine/neuron). (<bold>e</bold>) Relationship between normalized donor intensity and spine binding fraction for Rab4 sensor. N=42/34 (spine/neuron). No significant correlation (p&gt;0.05) was found. (<bold>f</bold>) Frequency distribution of basal binding fraction in the stimulated spines for Rab4 sensor. N=42/34 (spine/neuron). (<bold>g</bold>) Frequency distribution of basal binding fraction difference between the spines and dendrite for Rab4 sensor. N=42/34 (spine/neuron). (<bold>h</bold>) Averaged time course of binding fraction subtracted by basal binding fraction of dendrite for the stimulated spines and dendrite in Rab4 sensor expressing neurons. Data represent mean ± SEM. N=42/34 (spine/neuron).</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig2-figsupp4-v1.tif"/></fig><fig id="fig2s5" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 5.</label><caption><title>Intensity and mean intensity of Rab10 and Rab4 sensor donors in the stimulated spines and dendrites during sLTP.</title><p>(<bold>a</bold> and<bold> b</bold>) Averaged time courses of Rab10 donor intensity (<bold>a</bold>) and mean intensity (<bold>b</bold>) in the stimulated spines (red) and dendrites (black) during sLTP. Data represent means ± SEM. N=49/42 (spine/neuron) and 49/42 (dendrite/neuron) for the stimulated spine and dendrite, respectively. (<bold>c</bold>) Quantification of Rab10 donor mean intensity in the baseline (averaged over –5–0 min), transient phase (averaged over 1.3–4 min), and sustained phase (averaged over 19–31 min) for the experiments in (<bold>b</bold>). Data represent means ± SEM. Red color statistics indicate comparisons with baseline in the stimulated spines, and black color statistics indicate comparisons with baseline in the dendrites (n.s., not significant, two-way ANOVA). Blue color statistics indicate comparisons between the stimulated spines and dendrites (n.s., not significant, Student’s t-tests). (<bold>d</bold> and <bold>e</bold>) Averaged time courses of Rab4 donor intensity (<bold>d</bold>) and mean intensity (<bold>e</bold>) in the stimulated spine (red) and dendrite (black) during sLTP. N=42/34 (spine/neuron) and 42/34 (dendrite/neuron) for the stimulated spine and dendrite, respectively. (<bold>f</bold>) Quantification of Rab4 donor mean intensity in the baseline (averaged over –5–0 min), transient phase (averaged over 1.3–4 min) and sustained phase (averaged over 19–31 min) for the experiments in (<bold>e</bold>). Data represent means ± SEM. Red color statistics indicate comparisons with baseline in the stimulated spines and black color statistics indicate comparisons with baseline in the dendrites (n.s., not significant, **** p&lt;0.0001, two-way ANOVA). Blue color statistics indicate comparisons between the stimulated spines and dendrites (n.s., not significant, * p&lt;0.05, ** p&lt;0.01, Student’s t-tests).</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig2-figsupp5-v1.tif"/></fig><fig id="fig2s6" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 6.</label><caption><title>Rab10 inactivation under manipulations of putative upstream signaling pathways.</title><p>(<bold>a</bold> and <bold>b</bold>) Averaged time courses for changes in binding fraction of Rab10 sensor (<bold>a</bold>) and volume (<bold>b</bold>) of the stimulated spines during sLTP. Black and red curves represent control (Ctrl) and AP5 (50 µM), respectively. Data represent mean ± SEM. N=15/14 and 13/11 (spine/neuron) for Ctrl and AP5, respectively. (<bold>c</bold> and <bold>d</bold>) Averaged time courses for changes in binding fraction of Rab10 sensor (<bold>c</bold>) and volume (<bold>d</bold>) of the stimulated spines during sLTP. Black and blue curves represent scrambled peptide control (10 µM) and CN21 peptide (10 µM), respectively. Data represent mean ± SEM. N=8/7 and 15/12 (spine/neuron) for scrambled peptide and CN21 peptide, respectively. (<bold>e</bold> and <bold>f</bold>) Averaged time courses for changes in binding fraction of Rab10 sensor (<bold>e</bold>) and volume (<bold>f</bold>) of the stimulated spines during sLTP. Black and green curves represent U0124 control (20 µM) and U0126 (20 µM), respectively. Data represent mean ± SEM. N=9/8 and 11/8 (spine/neuron) for U0124 and U0126, respectively. For all pharmacological inhibition experiments, hippocampal slices were incubated in the indicated drugs for 30 min before experiments. All experiments were paired with controls from neurons in the same batch of slices.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig2-figsupp6-v1.tif"/></fig></fig-group><p>To characterize the spatiotemporal dynamics of Rab10 activity in single dendritic spines during sLTP, we combined two-photon glutamate uncaging with 2pFLIM (<xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>; <xref ref-type="bibr" rid="bib25">Harward et al., 2016</xref>; <xref ref-type="bibr" rid="bib24">Harvey et al., 2008</xref>; <xref ref-type="bibr" rid="bib30">Hedrick et al., 2016</xref>), and imaged the secondary apical dendrites of CA1 pyramidal neurons expressing the Rab10 sensor at 25–27°C. Upon focal glutamate uncaging (0.5 Hz, 60 s) in zero extracellular Mg<sup>2+</sup>, a single spine underwent a rapid volume increase within the first few minutes (ΔV<sub>transient</sub> = 275.9 ± 25.0%; <xref ref-type="fig" rid="fig2">Figure 2a, e and f</xref>), which decayed to a smaller but sustained volume increase lasting more than 30 min (ΔV<sub>sustained</sub> = 79.6 ± 6.7%; <xref ref-type="fig" rid="fig2">Figure 2a, e and g</xref>), consistent with the previous studies (<xref ref-type="bibr" rid="bib24">Harvey et al., 2008</xref>; <xref ref-type="bibr" rid="bib30">Hedrick et al., 2016</xref>; <xref ref-type="bibr" rid="bib49">Matsuzaki et al., 2004</xref>; <xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>; <xref ref-type="bibr" rid="bib25">Harward et al., 2016</xref>). Concomitant with the spine enlargement, Rab10 showed a rapid and spine-specific decrease of activity in the stimulated spines, which lasted for more than 30 min (<xref ref-type="fig" rid="fig2">Figure 2a–d</xref>). Neither the changes in spine volume, basal binding fraction, nor the changes in the binding fraction of Rab10 sensor correlated with the initial spine size (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1a–e</xref>). To verify the specificity of the sensor response, we replaced the RBD of the Rab10 sensor with the RBD of Rab4 sensor (Rabenosyn5 [439-503], false acceptor). This false acceptor sensor did not show a significant change in FRET (measured as the binding fraction change) in the stimulated spines (<xref ref-type="fig" rid="fig2">Figure 2c,d,f,g</xref>, <xref ref-type="fig" rid="fig2s2">Figure 2—figure supplement 2</xref>). In addition, the Rab10 sensor displayed a similar inactivation pattern at a near-physiological temperature (33–35°C; <xref ref-type="fig" rid="fig2s3">Figure 2—figure supplement 3a–d</xref>). The inactivation of Rab10 was correlated neither with the concentration of donor nor with that of the acceptor, suggesting that overexpressing Rab10 sensor has minimal effects on Rab10 inactivation (<xref ref-type="fig" rid="fig2s3">Figure 2—figure supplement 3e–h</xref>). In summary, our results demonstrate that Rab10 is persistently inactivated in the stimulated spines during sLTP, and this inactivation is compartmentalized in the stimulated spines.</p><p>The persistent inactivation of Rab10 during sLTP may be caused by the dilution of active Rab10 proteins due to the rapid spine enlargement. To examine this possibility, we compared the basal binding fraction of Rab10 sensor in spines and dendrites and analyzed the subset of spines with lower Rab10 basal activity than the dendrite (<xref ref-type="fig" rid="fig2s4">Figure 2—figure supplement 4b–d</xref>). We found that Rab10 activity still decreased against the gradient at the spine neck upon sLTP induction (<xref ref-type="fig" rid="fig2">Figure 2</xref>, <xref ref-type="fig" rid="fig2s4">Figure 2—figure supplement 4d</xref>). In addition, the binding fraction of the Rab10 sensor is independent of donor intensity (<xref ref-type="fig" rid="fig2s4">Figure 2—figure supplement 4a</xref>). Thus, instead of passive signal dilution, the persistent inactivation of Rab10 requires active biological processes, presumably by translocating Rab10-positive vesicles out of the spine or directly inactivating Rab10 in the spine. To examine whether Rab10 distribution is changed during sLTP, we further analyzed the intensity of Rab10 donor in the stimulated spines and dendrites. Upon sLTP induction, Rab10 donor intensity significantly increased in the stimulated spines but remained unchanged in the dendrites (<xref ref-type="fig" rid="fig2s5">Figure 2—figure supplement 5a</xref>). The dramatic increase of Rab10 intensity in the stimulated spines was probably due to passive diffusion by spine enlargement. Therefore, we further analyzed the mean intensities of Rab10 donor in the stimulated spines and dendrites, which were similar prior to and post sLTP induction (<xref ref-type="fig" rid="fig2s5">Figure 2—figure supplement 5b and c</xref>).</p><p>To further identify signaling pathways that inactivate Rab10 during sLTP, we applied pharmacological inhibitors targeting potential upstream components (<xref ref-type="bibr" rid="bib63">Patterson and Yasuda, 2011</xref>; <xref ref-type="bibr" rid="bib30">Hedrick et al., 2016</xref>). Inhibition of NMDARs by 2-amino-5-phosphonopentanoic acid (AP5, 50 µM) completely abolished Rab10 inactivation and spine enlargement (<xref ref-type="fig" rid="fig2">Figure 2c,d,f,g</xref>, <xref ref-type="fig" rid="fig2s6">Figure 2—figure supplement 6a,b</xref>). Application of CN21 (10 µM), a CaMKII inhibitory peptide (<xref ref-type="bibr" rid="bib8">Chang et al., 1998</xref>; <xref ref-type="bibr" rid="bib89">Vest et al., 2007</xref>), abolished Rab10 inactivation while partially attenuating the volume change (<xref ref-type="fig" rid="fig2">Figure 2c,d,f,g</xref>, <xref ref-type="fig" rid="fig2s6">Figure 2—figure supplement 6c,d</xref>). In contrast, mitogen-activated protein kinase (MAPK)/ERK kinase (MEK) inhibitor U0126 (20 µM) had no effect on Rab10 inactivation, although it impaired sLTP during the sustained phase (<xref ref-type="fig" rid="fig2">Figure 2c,d,f,g</xref>, <xref ref-type="fig" rid="fig2s6">Figure 2—figure supplement 6e,f</xref>). These results demonstrate that Rab10 is persistently inactivated in the stimulated spines during sLTP, and this inactivation is dependent on NMDARs and CaMKII but not on the MAPK/ERK signaling pathway.</p></sec><sec id="s2-3"><title>Rab4 is transiently activated in the stimulated spines during sLTP</title><p>Next, we measured the spatiotemporal profile of Rab4 activity in dendrites during sLTP induced in single spines. Consistent with its localization in early and recycling endosomes (<xref ref-type="bibr" rid="bib13">Ehlers, 2000</xref>; <xref ref-type="bibr" rid="bib72">Sönnichsen et al., 2000</xref>; <xref ref-type="bibr" rid="bib87">van der Sluijs et al., 1992b</xref>), mEGFP-Rab4, the sensor donor, showed a punctate distribution pattern (<xref ref-type="fig" rid="fig3">Figure 3a</xref>). In the basal state, Rab4 sensor activity is not correlated with the donor intensity and was lower in the spines than dendrites (<xref ref-type="fig" rid="fig2s4">Figure 2—figure supplement 4e–g</xref>). Glutamate uncaging (0.5 Hz, 60 s) induced a transient and sustained volume increase in the stimulated spines of neurons expressing Rab4 sensor (ΔV<sub>transient</sub> = 341.0 ± 29.4% and ΔV<sub>sustained</sub> = 77.6 ± 8.0%; <xref ref-type="fig" rid="fig3">Figure 3a and e–g</xref>). In contrast to the persistent inactivation of Rab10, Rab4 activity was transiently elevated in the stimulated spines and decayed, with no activity change in the adjacent spines or dendrites (<xref ref-type="fig" rid="fig3">Figure 3a–d</xref>). This enhanced spine activity exceeds that of dendrite during sLTP, suggesting that the activation requires active processes (<xref ref-type="fig" rid="fig2s4">Figure 2—figure supplement 4h</xref>). Similarly to Rab10, we examined the intensity and mean intensity of Rab4 donor in the stimulated spines and dendrites. In the transient phase of sLTP, both the intensity and mean intensity of Rab4 donor significantly increased in the stimulated spines, suggesting recruitment of Rab4 into the stimulated spines (<xref ref-type="fig" rid="fig2s5">Figure 2—figure supplement 5d–f</xref>). In contrast, there was no donor intensity or mean intensity change in the dendrites (<xref ref-type="fig" rid="fig2s5">Figure 2—figure supplement 5d–f</xref>). Moreover, the initial spine volume was not correlated either with the volume changes, the basal activity of Rab4 reported or the level of Rab4 activation reported by the sensor (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1f–j</xref>). Replacing the RBD of Rab4 sensor with the RBD for Rab10 sensor (Rim1 [20-227], false acceptor) showed no change of the binding fraction in the stimulated spines during sLTP, indicating the specificity of the sensor response (<xref ref-type="fig" rid="fig3">Figure 3c,d,f,g</xref>, <xref ref-type="fig" rid="fig3s1">Figure 3—figure supplement 1</xref>). In addition, the Rab4 sensor showed a similar transient activation pattern at a near-physiological temperature (33–35°C; <xref ref-type="fig" rid="fig3s2">Figure 3—figure supplement 2</xref>). The obtained signal was independent of the expression level of Rab4 sensor (<xref ref-type="fig" rid="fig3s2">Figure 3—figure supplement 2e–h</xref>). Thus, our results demonstrate that Rab4 is transiently activated in the stimulated spines during sLTP, and this activation is compartmentalized in the stimulated spines.</p><fig-group><fig id="fig3" position="float"><label>Figure 3.</label><caption><title>Spatiotemporal dynamics of Rab4 activation during sLTP induced at single spines.</title><p>(<bold>a</bold>) Representative donor fluorescence intensity image (gray) and fluorescence lifetime (FLIM, colorful) images of Rab4 activation during sLTP induced by two-photon glutamate uncaging. Arrowheads indicate the stimulated spine. The warmer color indicates shorter lifetime and higher Rab4 activity. Scale bar represents 1 µm. (<bold>b</bold>) Averaged time courses of Rab4 activation measured as binding fraction changes between mEGFP-Rab4 and mCherry-Rabenosyn5 [439-503]-mCherry in the stimulated spine (red), adjacent spine (black), and dendrite (blue). Gray rectangle bar indicates glutamate uncaging (0.5 Hz, 60 s). Data are presented in mean ± SEM. N=42/34 (spine/neuron), 42/34 (spine/neuron), and 42/34 (dendrite/neuron) for the stimulated spine, adjacent spine, and dendrite, respectively. (<bold>c, d</bold>) Quantification of Rab4 binding fraction changes in the transient phase (<bold>c</bold>, averaged over 1.3–4 min) and sustained phase (<bold>d</bold>, averaged over 19–31 min) in the stimulated spine (stim), adjacent spine (adj), and dendrite (dend) for the same experiments as b. Data represent mean ± SEM. One-way ANOVA followed by Bonferroni’s multiple comparison tests was used for the stimulated spine, adjacent spine, and dendrite (** p&lt;0.01, *** p&lt;0.001, **** p&lt;0.0001). Effects of pharmacological agents on Rab4 activation in the stimulated spines are also presented. All pharmacological inhibition experiments were paired with controls from the same batch of slices. Data represent mean ± SEM. Student’s t-tests were performed (n.s., not significant, * p&lt;0.05, ** p&lt;0.01, **** p&lt;0.0001). N=8/6, 12/9, 9/8, 13/11, 10/8, and 9/8 (spine/neuron) for Ctrl, AP5, scrambled, CN21, U0124, and U0126, respectively. When mEGFP-Rab4 was paired with a false acceptor (False), mCherry-Rim1 [20-227]-mCherry, little activity change was observed in the stimulated spines. Data represent mean ± SEM. Student’s t-tests were performed (n.s., not significant, **** p&lt;0.0001). N=6/5 and 12/9 (spine/neuron) for Ctrl and False, respectively. (<bold>e</bold>) Averaged time courses of spine volume change in the same experiments as b. Data represent mean ± SEM. (<bold>f, g</bold>) Quantification of spine volume changes in the transient phase (<bold>f</bold>, averaged over 1.3–4 min) and sustained phase (g, averaged over 19–31 min) for the same experiments as <bold>c</bold> and <bold>d</bold>. Data represent mean ± SEM. Student’s t-tests were used for all groups (n.s., not significant, * p&lt;0.05, ** p&lt;0.01, *** p&lt;0.001, **** p&lt;0.0001).</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig3-v1.tif"/></fig><fig id="fig3s1" position="float" specific-use="child-fig"><label>Figure 3—figure supplement 1.</label><caption><title>Changes in the binding fraction of mEGFP-Rab4 paired with false acceptor during sLTP.</title><p>(<bold>a</bold>) Averaged time course of changes in binding fraction of Rab4 sensor (Ctrl, black) in the stimulated spines during sLTP. When mEGFP-Rab4 was paired with a false acceptor (False, red), mCherry-Rim1 [20-227]-mCherry, little activity change was observed. Data represent mean ± SEM. N=6/5 (spine/neuron) for Ctrl, and 12/9 for False. (<bold>b</bold>) Quantification of changes in binding fraction in the transient phase (1.3–4 min) and sustained phase (19–31 min) for the same experiment as in (<bold>a</bold>). Data represent mean ± SEM. Stars denote statistical significance (n.s., not significant, **** p&lt;0.0001, Student’s t-tests). (<bold>c</bold>) Averaged time courses of spine volume changes for the same experiments as in (<bold>a</bold>). (<bold>d</bold>) Quantification of changes in spine volume in the transient phase (1.3–4 min) and sustained phase (19–31 min) for the same experiments as in (<bold>a</bold>). Data represent mean ± SEM (n.s., not significant, Student’s t-tests). Please note the quantification data in (<bold>b</bold>) and (<bold>d</bold>) are also presented in <xref ref-type="fig" rid="fig3">Figure 3c, d, f and g</xref>.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig3-figsupp1-v1.tif"/></fig><fig id="fig3s2" position="float" specific-use="child-fig"><label>Figure 3—figure supplement 2.</label><caption><title>Activation of Rab4 during sLTP induction at near physiological temperature.</title><p>(<bold>a</bold>) Averaged time courses for changes in binding fraction of Rab4 sensor in the stimulated spines during sLTP at 25–27°C (black) and 33–35°C (red). Data represent mean ± SEM. N=42/34 and 16/12 (spine/neuron) for 25–27°C and 33–35°C, respectively. (<bold>b</bold>) Quantification of binding fraction changes in the transient phase (1.3–4 min) and sustained phase (19–31 min) for the same experiments as in (<bold>a</bold>). Data represent mean ± SEM (n.s., not significant, Student’s t-tests). (<bold>c</bold>) Averaged time courses of changes in spine volume for the same experiments as in (<bold>a</bold>). Data represent mean ± SEM. (<bold>d</bold>) Quantification of spine volume changes during the transient phase (1.3–4 min) and sustained phase (19–31 min) for the same experiments as in (<bold>a</bold>). Data represent mean ± SEM (n.s., not significant, Student’s t-tests). Please note that the 25–27°C (black) samples in (<bold>a–d</bold>) are the same as those in <xref ref-type="fig" rid="fig3">Figure 3b and e</xref>. (<bold>e</bold> and <bold>f</bold>) Relationship between mEGFP-Rab4 concentration and changes in binding fraction of Rab4 sensor during the transient (e, 1.3–4 min) and sustained phase (f, 19–31 min) of sLTP at 33–35°C. No significant correlation (p&gt;0.05) was found. N=16/12 (spine/neuron). (<bold>g</bold> and <bold>h</bold>) Relationship between mCherry-RBD-mCherry concentration and binding fraction changes during the transient (g, 1.3–4 min) and sustained phase (h, 19–31 min) of sLTP at 33–35°C. No significant correlation (p&gt;0.05) was found. N=16/12 (spine/neuron).</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig3-figsupp2-v1.tif"/></fig><fig id="fig3s3" position="float" specific-use="child-fig"><label>Figure 3—figure supplement 3.</label><caption><title>Pharmacological evaluations of upstream signaling pathways mediating Rab4 activation.</title><p>(<bold>a</bold> and <bold>b</bold>) Averaged time courses for changes in binding fraction (<bold>a</bold>) of Rab4 sensor and volume (<bold>b</bold>) of the stimulated spines during sLTP. Black and red curves represent control (Ctrl) and AP5 (50 µM), respectively. Data represent mean ± SEM. N=8/6 and 12/9 (spine/neuron) for Ctrl and AP5, respectively. (<bold>c</bold> and <bold>d</bold>) Averaged time courses for changes in binding fraction (<bold>c</bold>) of Rab4 sensor and volume (<bold>d</bold>) of the stimulated spines during sLTP. Black and blue curves represent scrambled peptide control (10 µM) and CN21 peptide (10 µM), respectively. Data represent mean ± SEM. N=9/8 and 13/11 (spine/neuron) for scrambled peptide and CN21 peptide, respectively. (<bold>e</bold> and<bold> f</bold>) Averaged time courses for changes in binding fraction of Rab4 sensor (<bold>e</bold>) and volume (<bold>f</bold>) of the stimulated spines during sLTP. Black and green curves represent U0124 control (20 µM) and U0126 (20 µM), respectively. Data represent mean ± SEM. N=10/8 and 9/8 (spine/neuron) for U0124 and U0126, respectively. For all pharmacology experiments, hippocampal slices were incubated with the indicated drugs for 30 min before experiments. All experiments were paired with control neurons from the same batch of slices.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig3-figsupp3-v1.tif"/></fig></fig-group><p>To identify signaling pathways that activate Rab4 during sLTP, we applied pharmacological inhibitors targeting putative upstream components. Inhibition of NMDARs by AP5 (50 µM) completely abolished Rab4 activation and spine enlargement (<xref ref-type="fig" rid="fig3">Figure 3c,d,f,g</xref>, <xref ref-type="fig" rid="fig3s3">Figure 3—figure supplement 3a,b</xref>). Application of CN21 (10 µM) decreased Rab4 activity and volume changes both in the transient phase and sustained phase (<xref ref-type="fig" rid="fig3">Figure 3c,d,f,g</xref>, <xref ref-type="fig" rid="fig3s3">Figure 3—figure supplement 3c,d</xref>). In contrast, MEK inhibitor U0126 (20 µM) had no effect on Rab4 activation, although it impaired sLTP during the sustained phase (<xref ref-type="fig" rid="fig3">Figure 3c,d,f,g</xref>, <xref ref-type="fig" rid="fig3s3">Figure 3—figure supplement 3e,f</xref>). Altogether, Rab4 activation during sLTP is dependent on NMDARs and CaMKII, but not on the MAPK/ERK signaling pathway.</p></sec><sec id="s2-4"><title>Disruption of Rab10 signaling enhances structural and electrophysiological LTP, whereas disruption of Rab4 signaling inhibits the transient phase of structural LTP</title><p>Given that Rab10 and Rab4 display opposing activity profiles during sLTP, we hypothesized that they would have opposite functions in spine structural plasticity. To test this hypothesis, we knocked down Rab10 or Rab4 by respective shRNA and examined the effects of these manipulations on sLTP. We biolistically transfected cultured organotypic hippocampal slices of rats with scrambled shRNA control or shRNA against <italic>Rab10</italic> or <italic>Rab4</italic>, together with mEGFP as the volume marker. Compared with scrambled shRNA control, knockdown of Rab10 had no effect on spine size but increased spine density (<xref ref-type="fig" rid="fig4">Figure 4a</xref>, <xref ref-type="fig" rid="fig4s1">Figure 4—figure supplement 1a,b,f,g,h,i</xref>). Knockdown of Rab4 had no effect on spine size or density (<xref ref-type="fig" rid="fig4">Figure 4a</xref>, <xref ref-type="fig" rid="fig4s1">Figure 4—figure supplement 1a,b,e,g,h,i</xref>).</p><fig-group><fig id="fig4" position="float"><label>Figure 4.</label><caption><title>Rab4 positively regulates the transient phase of structural LTP, and Rab10 negatively regulates structural and electrophysiological LTP.</title><p>(<bold>a, b</bold>) Representative fluorescence images of spine volume change in the stimulated spines after manipulations of Rab10 and Rab4 signaling. Asterisks indicate the stimulated spines. Scale bars represent 1 µm. (<bold>a</bold>) Left: rat CA1 pyramidal neurons were transfected with mEGFP and scrambled shRNA (Ctrl shRNA); mEGFP and shRNA against <italic>Rab10</italic> (<italic>Rab10</italic> shRNA); mEGFP, shRNA against <italic>Rab10</italic>, and mCherry-shRNA-resistant Rab10 (Rab10 rescue). Right: rat CA1 pyramidal neurons were transfected with mEGFP and scrambled shRNA (Ctrl shRNA); mEGFP and shRNAs against <italic>Rab4a</italic> and <italic>Rab4b</italic> (<italic>Rab4a/4b</italic> shRNA); mEGFP, shRNAs against <italic>Rab4a</italic> and <italic>Rab4b</italic>, and mCherry-shRNA-resistant Rab4a (Rab4a rescue). (<bold>b</bold>) Left: rat CA1 pyramidal neurons were transfected with mEGFP (Ctrl); mEGFP and mCherry-Rab10 [T23N] (Rab10 DN); mEGFP and mCherry-Rab10 [Q68L] (Rab10 CA). Right: rat CA1 pyramidal neurons were transfected with mEGFP (Ctrl); mEGFP and mCherry-Rab4a [S27N] (Rab4a DN); mEGFP and mCherry-Rab4a [Q72L] (Rab4a CA). (<bold>c, d</bold>) Averaged time course of spine volume change for experiments in <bold>a</bold> and <bold>b</bold>. Fluorescence intensity of mEGFP was used to measure the spine volume change. Data represent means ± SEM. All experiments were paired with the same day controls from the same batch of slices. (<bold>c</bold>) Left: N=22/20, 22/20 and 16/13 (spine/neuron) for Ctrl shRNA (black), <italic>Rab10</italic> shRNA (blue) and Rab10 rescue (red), respectively. Right: N=17/17, 25/21 and 10/8 (spine/neuron) for Ctrl shRNA (black), <italic>Rab4a/4b</italic> shRNA (blue) and Rab4a rescue (red), respectively. (<bold>d</bold>) Left: N=22/18, 17/15 and 19/14 (spine/neuron) for Ctrl (black), Rab10 DN (blue) and Rab10 CA (red), respectively. Right: N=21/15, 19/18, and 16/11 (spine/neuron) for Ctrl (black), Rab4a DN (blue), and Rab4a CA (red), respectively. (<bold>e, f</bold>) Quantitative analysis of the transient volume change (volume change averaged over 1.3–4 min, left) and the sustained volume change (volume change averaged over 20–35 min, right) for <bold>c</bold> in <bold>e</bold> and for d in <bold>f</bold>. Data represent means ± SEM. One-way ANOVA followed by Bonferroni’s multiple comparison tests was performed (n.s., not significant, * p&lt;0.05, ** p&lt;0.01, *** p&lt;0.001, **** p&lt;0.0001). (<bold>g</bold>) Representative fluorescence images of stimulated spine volume change in CA1 pyramidal neurons from <italic>Rab10</italic><sup>fl/fl</sup> mice transfected with tdTomato-Cre and mEGFP (Rab10 KO), or tdTomato and mEGFP as a control (Ctrl). Asterisks indicate the stimulated spines. Scale bars represent 1 µm. (<bold>h</bold>) Averaged time courses of stimulated spine volume change for experiments in <bold>g</bold>. Data represent means ± SEM. N=12 for Ctrl (black) and 12 for Rab10 KO (blue). (<bold>i</bold>) Quantification of the transient volume change (left) and the sustained volume change (right) for <bold>h</bold>. Data represent means ± SEM. Unpaired two-tailed Student’s t-tests were used (* <italic>P</italic>&lt;0.05). (<bold>j</bold>) Electrophysiological recordings showing average input/output curve of <italic>Rab10</italic><sup>fl/fl</sup>:<italic>Camk2a-Cre<sup>+</sup></italic><sup>/-</sup>mice (Rab10 KO, blue, n=29) and littermate <italic>Rab10</italic><sup>fl/fl</sup>:<italic>Camk2a-Cre<sup>-</sup></italic><sup>/-</sup> control mice (Ctrl, black, n=29). Data are mean ± SEM. (<bold>k</bold>) Time course of extracellularly recorded excitatory postsynaptic potential (fEPSP) slope before and after LTP induction in CA1 pyramidal neurons from <italic>Rab10</italic><sup>fl/fl</sup>:<italic>Camk2a-Cre<sup>+</sup></italic><sup>/-</sup>mice (blue, number of slices/animals = 28/7) and littermate <italic>Rab10</italic><sup>fl/fl</sup>:<italic>Camk2a-Cre<sup>-</sup></italic><sup>/-</sup> mice (black, n=30/8). Data are represented as mean ± SEM. Insets (top) are the representative traces of fEPSP before and after stimulation for Cre+ (blue) and Cre- (black) mice. (<bold>l</bold>) Quantification of the average fEPSP slope at 40–60 min for experiments in <bold>k</bold>. Data are mean ± SEM. Unpaired two-tailed Student’s t-tests were used (* p&lt;0.05).</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig4-v1.tif"/></fig><fig id="fig4s1" position="float" specific-use="child-fig"><label>Figure 4—figure supplement 1.</label><caption><title>Validation of <italic>Rab GTPase</italic> shRNA and shRNA-resistant Rab GTPases, and effects of Rab knockdown on spine size and density.</title><p>(<bold>a</bold>) Schematic of dual-luciferase reporter assay. (<bold>b</bold>) Validation of knockdown by specific <italic>Rab4a</italic>, <italic>Rab4b,</italic> and <italic>Rab10</italic> shRNAs using dual-luciferase reporter assay. Individual psiCHECK-2-Rab GTPase was cotransfected into HEK 293T cells with scrambled shRNA (Ctrl shRNA), <italic>hRluc</italic> shRNA (Positive control), or individual <italic>Rab GTPase</italic> shRNA. Data represent mean ± SEM (**** p&lt;0.0001, one-way ANOVA followed by Bonferroni’s multiple comparison tests). N=8, 8, 8, 8, 8, 8, 10, 10, 10 wells from left to right. (<bold>c</bold>) Verification of shRNA-resistant Rab4a. HEK 293T cells were transfected with psiCHECK-2-shRNA-resistant Rab4a and scrambled shRNA (Ctrl shRNA), psiCHECK-2-shRNA-resistant Rab4a and <italic>hRluc</italic> shRNA (Positive control), psiCHECK-2 Rab4a and <italic>Rab4a</italic> shRNA (Rab4a+shRNA), or psiCHECK-2-shRNA-resistant Rab4a and <italic>Rab4a</italic> shRNA (Res-Rab4a+shRNA). Data represent mean ± SEM (n.s., not significant, **** p&lt;0.0001, one-way ANOVA followed by Bonferroni’s multiple comparison tests). N=4, 4, 4, 4 wells from left to right. (<bold>d</bold>) Verification of shRNA-resistant Rab10. HEK 293T cells were transfected with psiCHECK-2-shRNA-resistant Rab10 and scrambled shRNA (Ctrl shRNA), psiCHECK-2-shRNA-resistant Rab10 and <italic>hRluc</italic> shRNA (Positive control), psiCHECK-2 Rab10 and <italic>Rab10</italic> shRNA (Rab10 +shRNA), or psiCHECK-2-shRNA-resistant Rab10 and <italic>Rab10</italic> shRNA (Res-Rab10+shRNA). Data represent mean ± SEM (n.s., not significant, **** p&lt;0.0001, one-way ANOVA followed by Bonferroni’s multiple comparison tests). N=5, 5, 5, 5 wells from left to right. (<bold>e</bold> and <bold>f</bold>) Validation of shRNA by western blot. Western blot of total protein extracts from cortical neurons cultured 15–17 days in vitro infected with lentiviral vectors expressing mEGFP plus either scrambled control shRNA or <italic>Rab</italic> shRNA. Data shown are representative of two independent experiments (n=4). (<bold>g</bold>) Quantification of the western blot experiments in (<bold>e</bold>) and (<bold>f</bold>). Data represent mean ± SEM (*** p&lt;0.001, **** p&lt;0.0001, Student’s t-tests). (<bold>h</bold>) Knockdown of Rab4a/4b or Rab10 had no effect on basal spine size. Data represent mean ± SEM (n.s., not significant, Student’s t-tests). N=20, 24, 20, and 20 (neurons) from left to right. (<bold>i</bold>) Knockdown of Rab4a/4b had no effect on spine density while knockdown of Rab10 enhanced spine density. Data represent mean ± SEM (n.s., not significant, * p&lt;0.05, Student’s t-tests). N=20, 24, 20, and 20 (neurons) from left to right.</p><p><supplementary-material id="fig4s1sdata1"><label>Figure 4—figure supplement 1—source data 1.</label><caption><title>Original gel photos.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-103879-fig4-figsupp1-data1-v1.zip"/></supplementary-material></p><p><supplementary-material id="fig4s1sdata2"><label>Figure 4—figure supplement 1—source data 2.</label><caption><title>Original gel photos with annotations.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-103879-fig4-figsupp1-data2-v1.zip"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig4-figsupp1-v1.tif"/></fig><fig id="fig4s2" position="float" specific-use="child-fig"><label>Figure 4—figure supplement 2.</label><caption><title>Deletion of Rab10 has no effect on CA3-CA1 synaptic transmission in the hippocampus.</title><p>(<bold>a</bold> and <bold>b</bold>) Whole cell recordings of AMPAR (<bold>a</bold>) and NMDAR (<bold>b</bold>) mediated EPSCs in <italic>Rab10</italic><sup>fl/fl</sup>:<italic>Camk2a-Cre<sup>+</sup></italic><sup>/-</sup> (Rab10 KO) mice and littermate <italic>Rab10</italic><sup>fl/fl</sup>:<italic>Camk2a-Cre<sup>-</sup></italic><sup>/-</sup> control (Ctrl) mice. (<bold>a</bold>) Amplitude quantification of AMPAR EPSCs (at –70 mV) in Ctrl (black, n=48/5 cells/animals) and Rab10 KO (blue, n=45/5 cells/animals) mice. Insets are representative evoked responses (black for Ctrl and blue for Rab10 KO). (<bold>b</bold>) Amplitude quantification of NMDAR EPSCs (at +40 mV) for the same experiments in (<bold>a</bold>). To avoid contamination with residual AMPAR currents, the amplitude of NMDAR EPSCs was calculated by measuring the response amplitude at 50ms after the peak. Insets are representative evoked responses. (<bold>c</bold>) AMPAR/NMDAR EPSC ratio for Ctrl (black) and Rab10 KO (blue) mice. (<bold>d</bold>) Input-output relationship for Ctrl (black) and Rab10 KO (blue) mice. No significant difference was detected in any of the results using unpaired t-tests.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig4-figsupp2-v1.tif"/></fig></fig-group><p>We further induced sLTP by two-photon glutamate uncaging in single spines of neurons expressing mEGFP (<xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>; <xref ref-type="bibr" rid="bib42">Lee et al., 2009</xref>). Under control conditions with scrambled shRNA, application of a train of glutamate uncaging pulses (0.5 Hz, 60 s) in zero extracellular Mg<sup>2+</sup> induced a rapid spine volume increase in the transient phase, which decayed to a sustained enlarged volume for more than 30 min (<xref ref-type="fig" rid="fig4">Figure 4a and c</xref>). However, knockdown of Rab10 by shRNA enhanced spine enlargement both in the transient and sustained phase of sLTP, which was rescued by co-expressing shRNA-resistant Rab10 (for scrambled shRNA, ΔV<sub>transient</sub> = 215.5 ± 16.6% and ΔV<sub>sustained</sub> = 64.4 ± 9.9%; for <italic>Rab10</italic> shRNA, ΔV<sub>transient</sub> = 309.0 ± 36.3% and ΔV<sub>sustained</sub> = 140.6 ± 16.4%; for Rab10 rescue, ΔV<sub>transient</sub> = 213.5 ± 19.7% and ΔV<sub>sustained</sub> = 87.4 ± 11.7%; <xref ref-type="fig" rid="fig4">Figure 4a,c,e</xref>, <xref ref-type="fig" rid="fig4s1">Figure 4—figure supplement 1a,b,d,f,g</xref>). In contrast, knockdown of Rab4 by shRNA significantly impaired the transient phase of sLTP while leaving the sustained phase intact (for scrambled shRNA, ΔV<sub>transient</sub> = 291.6 ± 35.6% and ΔV<sub>sustained</sub> = 76.1 ± 10.0%; for <italic>Rab4a/4b</italic> shRNA, ΔV<sub>transient</sub> = 119.8 ± 15.4% and ΔV<sub>sustained</sub> = 73.8 ± 12.1%; <xref ref-type="fig" rid="fig4">Figure 4a,c,e</xref>, <xref ref-type="fig" rid="fig4s1">Figure 4—figure supplement 1a,b,e,g</xref>). This phenotype was rescued by coexpression of shRNA-resistant Rab4a (ΔV<sub>transient</sub> = 223.1 ± 32.8% and ΔV<sub>sustained</sub> = 84.2 ± 12.3%; <xref ref-type="fig" rid="fig4">Figure 4a,c,e</xref>, <xref ref-type="fig" rid="fig4s1">Figure 4—figure supplement 1c</xref>). Overall, these results suggest that Rab10 negatively regulates both the transient and sustained phases of sLTP, while Rab4 is required for the transient phase of sLTP.</p><p>As an alternative strategy to inhibit Rab10 and Rab4 functions, we examined the effects of overexpressing DN-Rab mutants on spine structural plasticity. Consistent with the shRNA results, DN-Rab10 enhanced both the transient and sustained phase of sLTP (for control, ΔV<sub>transient</sub> = 209.2 ± 31.1% and ΔV<sub>sustained</sub> = 64.8 ± 9.4%; for Rab10 DN, ΔV<sub>transient</sub> = 332.0 ± 31.8% and ΔV<sub>sustained</sub> = 125.0 ± 17.4%; <xref ref-type="fig" rid="fig4">Figure 4b, d and f</xref>), while DN-Rab4a selectively inhibited the transient phase of sLTP (for control, ΔV<sub>transient</sub> = 357.4 ± 52.0% and ΔV<sub>sustained</sub> = 83.5 ± 10.8%; for Rab4a DN, ΔV<sub>transient</sub> = 198.1 ± 32.1% and ΔV<sub>sustained</sub> = 70.8 ± 11.0%; <xref ref-type="fig" rid="fig4">Figure 4b, d and f</xref>). Moreover, we evaluated the effect of overexpressing CA-Rab10 or CA-Rab4 on sLTP. These manipulations in general caused opposite phenotypes to the DN mutants: CA-Rab10 decreased both the transient and sustained phase of sLTP (for control, ΔV<sub>transient</sub> = 209.2 ± 31.1% and ΔV<sub>sustained</sub> = 64.8 ± 9.4%; for Rab10 CA, ΔV<sub>transient</sub> = 97.7 ± 16.5% and ΔV<sub>sustained</sub> = 23.0 ± 7.1%; <xref ref-type="fig" rid="fig4">Figure 4b, d and f</xref>), while CA-Rab4 slightly increased the transient phase of sLTP (but not statistically significant; for control, ΔV<sub>transient</sub> = 357.4 ± 52.0% and ΔV<sub>sustained</sub> = 83.5 ± 10.8%; for Rab4a CA, ΔV<sub>transient</sub> = 463.1 ± 61.1% and ΔV<sub>sustained</sub> = 112.7 ± 18.3%; <xref ref-type="fig" rid="fig4">Figure 4b, d and f</xref>).</p><p>We further evaluated the effects of Rab10 deletion on structural and electrophysiological LTP using Rab10 conditional knockout mice (<italic>Rab10</italic><sup>fl/fl</sup>) (<xref ref-type="bibr" rid="bib88">Vazirani et al., 2016</xref>). For sLTP measurement, we biolistically transfected cultured organotypic hippocampal slices of <italic>Rab10</italic><sup>fl/fl</sup> mice with tdTomato-fused Cre recombinase and mEGFP, or tdTomato and mEGFP as a control (J.-Y. <xref ref-type="bibr" rid="bib9">Chang et al., 2017</xref>). Consistent with the Rab10-knockdown results, deletion of the <italic>Rab10</italic> gene increased sLTP in the stimulated spines of CA1 pyramidal neurons (<xref ref-type="fig" rid="fig4">Figure 4g, h and i</xref>). Furthermore, we crossed <italic>Rab10</italic><sup>fl/fl</sup> mice with <italic>Camk2a-Cre</italic> mice (<italic>Rab10</italic><sup>fl/fl</sup>:<italic>Camk2a-Cre<sup>+</sup></italic><sup>/-</sup>) to postnatally remove Rab10 from forebrain excitatory neurons (<xref ref-type="bibr" rid="bib82">Tsien et al., 1996</xref>). These animals showed enhanced LTP upon theta burst stimulation (TBS) at Schaeffer collateral synapses (<xref ref-type="fig" rid="fig4">Figure 4k and l</xref>), with the basal synaptic transmission unchanged (<xref ref-type="fig" rid="fig4">Figure 4j</xref>). Control animals (<italic>Rab10</italic><sup>fl/fl</sup> without Cre) showed a modest LTP under this condition (<xref ref-type="fig" rid="fig4">Figure 4k and i</xref>; <xref ref-type="bibr" rid="bib20">Gong et al., 2009</xref>; <xref ref-type="bibr" rid="bib22">Grover et al., 2009</xref>; <xref ref-type="bibr" rid="bib6">Capocchi et al., 1992</xref>). Moreover, we monitored Schaffer collateral synaptic transmission in these mice and found no difference in the amplitude of AMPAR- and NMDAR-EPSCs, or AMPAR/NMDAR EPSC ratio (<xref ref-type="fig" rid="fig4s2">Figure 4—figure supplement 2</xref>). These results indicate that Rab10 is a negative regulator for electrophysiological LTP.</p><p>Overall, our results demonstrate that Rab10 negatively regulates both the transient and sustained phase of sLTP, while Rab4 positively regulates the transient phase of sLTP. These functions are consistent with the direction and time window of their activity changes during sLTP. Moreover, Rab10 negatively modulates electrophysiological LTP.</p><sec id="s2-4-1"><title>Rab10 and Rab4 oppositely regulate activity-dependent SEP-GluA1 exocytosis during sLTP</title><p>We further examined whether Rab10 and Rab4 play roles in the exocytosis of GluA1-containing vesicles during sLTP (<xref ref-type="bibr" rid="bib62">Patterson et al., 2010</xref>). To visualize newly exocytosed AMPARs from the intracellular compartments during sLTP, we combined fluorescence recovery after photobleaching (FRAP) with two-photon glutamate uncaging and two-photon imaging (<xref ref-type="bibr" rid="bib47">Makino and Malinow, 2009</xref>; <xref ref-type="bibr" rid="bib62">Patterson et al., 2010</xref>). Organotypic hippocampal slices were biolistically transfected with N-terminal super-ecliptic pHluorin (SEP)-tagged GluA1, mCherry, and scrambled shRNA. CA1 pyramidal neurons expressing mCherry and SEP-GluA1 were imaged under two-photon microscopy. Since SEP-GluA1 is quenched in the acidic environment of endosomes, only the population on the surface emits fluorescence (<xref ref-type="bibr" rid="bib51">Miesenböck et al., 1998</xref>; <xref ref-type="bibr" rid="bib47">Makino and Malinow, 2009</xref>; <xref ref-type="bibr" rid="bib62">Patterson et al., 2010</xref>).</p><p>We pre-bleached surface SEP-GluA1 in a whole secondary dendrite with two-photon excitation and measured the fluorescence recovery due to exocytosis in the spines after the induction of sLTP. Upon glutamate uncaging, the volume of the stimulated spines, measured with mCherry fluorescence, was increased by 352.8 ± 34.3% at 2 min (<xref ref-type="fig" rid="fig5">Figure 5a and b</xref>). Meanwhile, the fluorescence intensity of SEP-GluA1 was rapidly recovered from 15.4 ± 1.6% (0 min) to 108.8 ± 10.8% (2 min) in the stimulated spines (<xref ref-type="fig" rid="fig5">Figure 5a and b</xref>). However, in the non-stimulated adjacent spines and dendrites, SEP-GluA1 recovery was smaller and slower (for adjacent spines, from 17.3 ± 1.3% at 0 min to 28.9 ± 2.7% at 2 min; for dendrites, from 27.8 ± 1.4% at 0 min to 43.9 ± 1.9% at 2 min; <xref ref-type="fig" rid="fig5">Figure 5a and b</xref>). Overexpression of tetanus toxin light chain (TeTxLC), which cleaves vesicle-associated membrane protein (VAMP; <xref ref-type="bibr" rid="bib43">Link et al., 1992</xref>), significantly decreased both the spine enlargement and the SEP-GluA1 recovery in the stimulated spines, suggesting that the fluorescence recovery requires exocytosis (<xref ref-type="fig" rid="fig5">Figure 5c-f</xref>, <xref ref-type="fig" rid="fig5s1">Figure 5—figure supplement 1a</xref>).</p><fig-group><fig id="fig5" position="float"><label>Figure 5.</label><caption><title>Rab4 and Rab10 positively and negatively regulate activity-dependent SEP-GluA1 exocytosis in the stimulated spines during sLTP, respectively.</title><p>(<bold>a</bold>) Upper panel: schematic for SEP-GluA1 FRAP and two-photon glutamate uncaging experiment. Whole dendrite photobleaching was performed from –2 min to 0 min, followed by single spine glutamate uncaging from 0 min to 1 min (0.5 Hz, 60 s). Lower panel: representative pseudo color images of SEP-GluA1 (green) FRAP after two-photon glutamate uncaging in a single spine of hippocampal CA1 pyramidal neurons coexpressing mCherry (magenta) and scrambled shRNA. White arrowheads indicate the stimulated spine. Scale bar represents 1 µm. (<bold>b</bold>) Averaged time courses of SEP-GluA1 (left) and mCherry (right) fluorescence intensity (F/F<sub>0</sub>) in the stimulated spine (red), adjacent spine (black), and dendrite (blue) of neurons expressing SEP-GluA1, mCherry, and scrambled shRNA. Black arrows indicate the time points after photobleaching and glutamate uncaging, respectively. Data represent mean ± SEM. N=43/35 (spine/neuron), 43/35 (spine/neuron) and 43/35 (dendrite/neuron) for the stimulated spine, adjacent spine and dendrite, respectively. (<bold>c</bold>) Averaged time courses of SEP-GluA1 FRAP in the stimulated spines of neurons expressing SEP-GluA1, mCherry, and scrambled shRNA (Ctrl shRNA, black, n=43/35); SEP-GluA1, mCherry, and TeTxLC (TeTxLC, grey, n=19/12); SEP-GluA1, mCherry, and shRNAs against <italic>Rab4a</italic> and <italic>Rab4b</italic> (<italic>Rab4a/4b</italic> shRNA, red, n=26/16); SEP-GluA1, mCherry, shRNAs against <italic>Rab4a</italic> and <italic>Rab4b</italic>, and shRNA-resistant Rab4a (Rab4a rescue, orange, n=16/12); SEP-GluA1, mCherry, and shRNA against <italic>Rab10</italic> (<italic>Rab10</italic> shRNA, green, n=23/15); SEP-GluA1, mCherry, shRNA against <italic>Rab10</italic>, and shRNA-resistant Rab10 (Rab10 rescue, blue, n=22/19). Data represent mean ± SEM. All experiments were paired with the same day controls from the same batch of slices. (<bold>d</bold>) Quantification of SEP-GluA1 fluorescence intensity at 0 min and 2 min in the same experiments as <bold>c</bold>. Data represent mean ± SEM. One-way ANOVA followed by Bonferroni’s multiple comparison tests was performed (n.s., not significant, * p&lt;0.05, *** p&lt;0.001). (<bold>e</bold>) Averaged time courses of mCherry fluorescence intensity in the stimulated spines of the same neurons as <bold>c</bold>. Data represent mean ± SEM. (<bold>f</bold>) Quantification of mCherry fluorescence intensity at 0 min and 2 min in the same experiments as c. Data represent mean ± SEM. One-way ANOVA followed by Bonferroni’s multiple comparison tests (n.s., not significant, ** p&lt;0.01, *** p&lt;0.001). Please note that the Ctrl shRNA samples in c-f are the same as those in a-b. (<bold>g</bold>) Proposed model for Rab4 and Rab10 mediated AMPAR trafficking and sLTP. Activation of postsynaptic NMDARs triggers Ca<sup>2+</sup> influx (~ms) and CaMKII activation (~s), which is relayed by the transient activation of Rab4 (~min) and persistent inactivation of Rab10 (~min). Rab4 activation and Rab10 inactivation result in the potentiated AMPAR exocytosis and sLTP induction in single dendritic spines.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig5-v1.tif"/></fig><fig id="fig5s1" position="float" specific-use="child-fig"><label>Figure 5—figure supplement 1.</label><caption><title>Rab4 and Rab10 regulate activity-dependent GluA1 exocytosis in the stimulated spines during sLTP.</title><p>(<bold>a–e</bold>) Representative images of SEP-GluA1 (green) FRAP after two-photon glutamate uncaging in the stimulated spines of hippocampal neurons coexpressing mCherry and TeTxLC (<bold>a</bold>); mCherry and <italic>Rab4a</italic> and <italic>Rab4b</italic> shRNAs (<bold>b</bold>); mCherry, <italic>Rab4a</italic> and <italic>Rab4b</italic> shRNAs and shRNA-resistant Rab4a (<bold>c</bold>); mCherry and <italic>Rab10</italic> shRNA (<bold>d</bold>) or mCherry, <italic>Rab10</italic> shRNA and shRNA-resistant Rab10 (<bold>e</bold>). White arrowheads indicate the stimulated spine. Scale bar represents 1 µm.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig5-figsupp1-v1.tif"/></fig><fig id="fig5s2" position="float" specific-use="child-fig"><label>Figure 5—figure supplement 2.</label><caption><title>Fluorescence intensity of SEP-GluA1 and mCherry in adjacent spines and dendrites.</title><p>(<bold>a</bold> and <bold>c</bold>) Averaged time courses of SEP-GluA1 (<bold>a</bold>) and mCherry (<bold>c</bold>) fluorescence intensity for adjacent spines in the same experiments as in <xref ref-type="fig" rid="fig5">Figure 5c</xref>. Data represent mean ± SEM. N=43/35, 19/12, 26/16, 16/12, 23/15, and 22/19 (spine/neuron) for Ctrl, TeTxLC, <italic>Rab4a/4b</italic> shRNA, Rab4a rescue, <italic>Rab10</italic> shRNA, and Rab10 rescue, respectively. (<bold>b</bold> and<bold> d</bold>) Quantification of SEP-GluA1 (<bold>b</bold>) and mCherry (<bold>d</bold>) fluorescence intensity for adjacent spines at 0 min and 2 min. Data represent mean ± SEM (n.s., not significant, one-way ANOVA followed by Bonferroni’s multiple comparison tests). N=43/35, 19/12, 26/16, 16/12, 23/15, and 22/19 (spine/neuron) for Ctrl, TeTxLC, <italic>Rab4a/4b</italic> shRNA, Rab4a rescue, <italic>Rab10</italic> shRNA, and Rab10 rescue, respectively. (<bold>e</bold> and <bold>g</bold>) Averaged time courses of SEP-GluA1 (<bold>e</bold>) and mCherry (<bold>g</bold>) fluorescence intensity for dendrites in the same experiments as in <xref ref-type="fig" rid="fig5">Figure 5c</xref>. Data represent mean ± SEM. N=43/35, 19/12, 26/16, 16/12, 23/15, and 22/19 (dendrite/neuron) for Ctrl, TeTxLC, <italic>Rab4a/4b</italic> shRNA, Rab4a rescue, <italic>Rab10</italic> shRNA, and Rab10 rescue, respectively. (<bold>f</bold> and<bold> h</bold>) Quantification of SEP-GluA1 (<bold>f</bold>) and mCherry (<bold>h</bold>) fluorescence intensity for dendrites at 0 min and 2 min. Data represent mean ± SEM (n.s., not significant, one-way ANOVA followed by Bonferroni’s multiple comparison tests). N=43/35, 19/12, 26/16, 16/12, 23/15, and 22/19 (spine/neuron) for Ctrl, TeTxLC, <italic>Rab4a/4b</italic> shRNA, Rab4a rescue, <italic>Rab10</italic> shRNA, and Rab10 rescue, respectively. (<bold>i</bold>) SEP-GluA1 FRAP after subtraction of the surface area increase in the stimulated spines for experiments in <xref ref-type="fig" rid="fig5">Figure 5c</xref>. N=43/35, 19/12, 26/16, 16/12, 23/15, and 22/19 (spine/neuron) for Ctrl, TeTxLC, <italic>Rab4a/4b</italic> shRNA, Rab4a rescue, <italic>Rab10</italic> shRNA, and Rab10 rescue, respectively.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-103879-fig5-figsupp2-v1.tif"/></fig></fig-group><p>To investigate whether Rab10 and Rab4 are involved in this activity-dependent postsynaptic AMPAR exocytosis, we knocked down endogenous Rab10 or Rab4 by respective shRNA and monitored SEP-GluA1 exocytosis and sLTP in the stimulated and adjacent spines. No significant difference was seen in the adjacent spines or dendrites in either SEP-GluA1 recovery or mCherry intensity change among all groups (<xref ref-type="fig" rid="fig5s2">Figure 5—figure supplement 2a–h</xref>). Compared with scrambled shRNA, expression of <italic>Rab10</italic> shRNA enhanced the spine enlargement as well as SEP-GluA1 incorporation (<xref ref-type="fig" rid="fig5">Figure 5a,c-f</xref>, <xref ref-type="fig" rid="fig5s1">Figure 5—figure supplement 1d</xref>; measured at 2 min). These phenotypes were rescued by coexpressing shRNA-resistant Rab10 (<xref ref-type="fig" rid="fig5">Figure 5a,c-f</xref>, <xref ref-type="fig" rid="fig5s1">Figure 5—figure supplement 1e</xref>; measured at 2 min). Therefore, Rab10 negatively regulates GluA1 exocytosis in the stimulated spines during sLTP. In contrast, the expression of <italic>Rab4a</italic> and <italic>Rab4b</italic> shRNAs impaired spine enlargement (<xref ref-type="fig" rid="fig5">Figure 5a,e,f</xref>, <xref ref-type="fig" rid="fig5s1">Figure 5—figure supplement 1b</xref>; measured at 2 min). It also significantly attenuated SEP-GluA1 recovery in the stimulated spines (<xref ref-type="fig" rid="fig5">Figure 5a,c,d</xref>, <xref ref-type="fig" rid="fig5s1">Figure 5—figure supplement 1b</xref>; measured at 2 min). These phenotypes were rescued by coexpressing shRNA-resistant Rab4a (<xref ref-type="fig" rid="fig5">Figure 5a,c-f</xref>, <xref ref-type="fig" rid="fig5s1">Figure 5—figure supplement 1c</xref>; measured at 2 min). These findings suggest that Rab4 is required for GluA1 exocytosis in the stimulated spines during sLTP. Moreover, compensating for the effect of SEP-GluA1’s lateral diffusion by subtracting the change in the spine surface area (ΔVolume<sup>2/3</sup>) (<xref ref-type="fig" rid="fig5s2">Figure 5—figure supplement 2i</xref>; <xref ref-type="bibr" rid="bib62">Patterson et al., 2010</xref>) did not alter our findings. Therefore, during sLTP, Rab10 limits and Rab4 enhances SEP-GluA1 incorporation in the stimulated spines.</p></sec></sec></sec><sec id="s3" sec-type="discussion"><title>Discussion</title><p>The development of novel FRET-based biosensors for Rab proteins has revealed how Rab signaling pathways regulate sLTP in single dendritic spines. In brief, NMDAR activation triggers Ca<sup>2+</sup> influx (~ms) and CaMKII activation (~s) (<xref ref-type="bibr" rid="bib57">Noguchi et al., 2005</xref>; <xref ref-type="bibr" rid="bib42">Lee et al., 2009</xref>), leading to the persistent inactivation of Rab10 (~min) and transient activation of Rab4 (~min) (<xref ref-type="fig" rid="fig5">Figure 5g</xref>). Consistent with the direction and the duration of its activity change, Rab10 negatively regulates both the transient and sustained phase of sLTP and electrophysiological LTP. In contrast, Rab4 positively regulates the transient phase of sLTP. Thus, the temporal dynamics of Rab10 and Rab4 mirror the time courses of their functions in sLTP. Furthermore, Rab10 inhibits activity-dependent AMPAR trafficking during sLTP, while Rab4 promotes this process (<xref ref-type="fig" rid="fig5">Figure 5g</xref>). These results suggest that Rab4 and Rab10 play critical roles in two membrane trafficking events – AMPAR trafficking and spine enlargement – during sLTP.</p><p>Understanding the kinetics of Rab4 and Rab10 sensors is essential for interpreting their actual activity during sLTP. The Rab4 sensor exhibits a rapid rise and fall in activation (<xref ref-type="fig" rid="fig3">Figure 3</xref>), indicating ON/OFF times of less than a few minutes. In contrast, the Rab10 sensor rapidly dissociates during sLTP induction (<xref ref-type="fig" rid="fig2">Figure 2</xref>), with OFF kinetics occurring within one minute and fast ON kinetics in response to NMDA (<xref ref-type="fig" rid="fig1">Figure 1j</xref>). Given these rapid kinetics, the observed sustained inactivation of Rab10 likely reflects its true behavior rather than sensor dynamics.</p><p>Deletion or inhibition of Rab10 enhanced spine enlargement during sLTP (<xref ref-type="fig" rid="fig4">Figure 4a–i</xref>), while inhibition of Rab10 did not alter spine size in the basal state (<xref ref-type="fig" rid="fig4s1">Figure 4—figure supplement 1h</xref>). This lack of change in basal spine size may be attributed to cumulative activity-dependent plasticity over time. For instance, homeostatic plasticity could have normalized basal spine size after an extended period (<xref ref-type="bibr" rid="bib83">Turrigiano and Nelson, 2004</xref>; <xref ref-type="bibr" rid="bib92">Wefelmeyer et al., 2016</xref>). Additionally, despite the increased spine density observed with <italic>Rab10</italic> shRNA knockdown in organotypic hippocampal slices (<xref ref-type="fig" rid="fig4s1">Figure 4—figure supplement 1i</xref>), we observed no change in synaptic transmission following Rab10 deletion in acute slices (<xref ref-type="fig" rid="fig4">Figure 4j</xref>, <xref ref-type="fig" rid="fig4s2">Figure 4—figure supplement 2</xref>). This discrepancy may reflect differences in developmental and homeostatic stages across these experimental models. Alternatively, it could arise from distinct regulatory mechanisms influencing spine size and nanometer-level AMPAR trafficking (<xref ref-type="bibr" rid="bib102">Zito et al., 2004</xref>; <xref ref-type="bibr" rid="bib23">Haas et al., 2018</xref>).</p><p>Previous studies have suggested that gating of signaling regulates kinase-phosphatase balance during LTP. For example, activation of the cyclic adenosine monophosphate (cAMP) pathway inactivates protein phosphatase, thereby gating CaMKII signaling (<xref ref-type="bibr" rid="bib94">Yagishita et al., 2014</xref>; <xref ref-type="bibr" rid="bib17">Genoux et al., 2002</xref>; <xref ref-type="bibr" rid="bib2">Blitzer et al., 1998</xref>). Here we demonstrated that Rab10 is inactivated during sLTP and plays inhibitory roles in AMPAR trafficking and spine enlargement, suggesting that Rab10 acts as a gate for the membrane trafficking events during sLTP. Thus, gating of inhibitory signaling is likely a common mechanism in synaptic plasticity.</p><p>On the other hand, Rab4 facilitates membrane expansion and AMPAR trafficking, specifically during the transient phase of sLTP. In a previous study, LTP onset appears to be delayed in Rab4 knock-down neurons, implicating that Rab4 is required for the rapid increase of AMPAR current during LTP induction (<xref ref-type="bibr" rid="bib5">Brown et al., 2007</xref>). Indeed, Rab4 is rapidly recruited into the spines in the transient phase of sLTP (<xref ref-type="fig" rid="fig2s5">Figure 2—figure supplement 5d–f</xref>). Consistently, recent ultrastructural analyses also demonstrated the increase of PSD complexity and membrane expansion during the transient phase of sLTP (<xref ref-type="bibr" rid="bib76">Sun et al., 2021</xref>). RhoA is another signaling molecule that plays a role specifically in the transient phase, likely by reorganizing the actin cytoskeleton in spines (<xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>). These signaling processes, which rapidly reorganize spine structure during the transient phases, would be critical for shaping the onset of LTP and sLTP.</p><p>Interestingly, Rab4, 5, 7, 8, and 10 sensors are all activated upon low-dose NMDA application (<xref ref-type="fig" rid="fig1">Figure 1j</xref>, <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1e</xref>). However, they displayed distinct time courses and durations of activity change (<xref ref-type="fig" rid="fig1">Figure 1j</xref>, <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1e</xref>). It is known that bath application of low-concentration NMDA induces LTD and dephosphorylation of AMPARs in the hippocampus (<xref ref-type="bibr" rid="bib41">Lee et al., 1998</xref>). During LTD, the rate of AMPAR internalization outweighs the rate of AMPAR exocytosis, resulting in a reduced number of synaptic AMPARs. Since Rab proteins are localized on different endosomes and coordinate individual parts of receptor trafficking, their distinct time courses and activity durations may reflect the involvement of related endosomes in LTD. Particularly, the Rab10 sensor displayed bi-directional activity changes in response to sLTP or chemical LTD induction. To fully understand Rab10’s function in synaptic plasticity, it would be necessary to investigate its involvement in LTD.</p><p>Notably, the inactivation of Rab10 is persistent and lasts for over 30 min. Despite different time courses of activity during sLTP, other small GTPases RhoA, Cdc42, Rac1, and Ras also remain activated over 20 min (<xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>; <xref ref-type="bibr" rid="bib30">Hedrick et al., 2016</xref>; <xref ref-type="bibr" rid="bib24">Harvey et al., 2008</xref>). Moreover, BDNF-TrkB signaling is rapidly activated in the spines and remains elevated for at least 60  min during sLTP (<xref ref-type="bibr" rid="bib25">Harward et al., 2016</xref>). The persistent inactivation pattern of Rab10 is possibly defined by the activity of its associated endosomal organelle in sLTP. Previous studies showed that Rab10 is localized on various membranes, including the early endosome, recycling endosome, endoplasmic reticulum (ER), Golgi, and trans-Golgi network (TGN). With the SLENDR-mediated knockin technique, we found that endogenous Rab10 is majorly overlapped with Rab7-labeled lysosome, partially colocalized with Rab11-labeled recycling endosome, but separated from Rab5-labeled early endosome in vivo (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1j</xref>). These results implicate that Rab10 may mediate the transport from recycling endosome to lysosome for protein degradation. Therefore, inactivation of Rab10 possibly inhibits AMPAR degradation pathway, resulting in more available AMPARs for synaptic insertion and synaptic potentiation.</p><p>Pharmacological analysis of Rab10 and Rab4 signaling pathways indicated that they are downstream of CaMKII, but not ERK. Previously, the Ras-ERK pathway has been implicated in regulating AMPAR delivery and sLTP (<xref ref-type="bibr" rid="bib24">Harvey et al., 2008</xref>; <xref ref-type="bibr" rid="bib62">Patterson et al., 2010</xref>; <xref ref-type="bibr" rid="bib101">Zhu et al., 2002</xref>). Our data suggest that Rab10 and Rab4 act as parallel pathways that are independent of Ras-ERK signaling. The steps between CaMKII activation and Rab10 inactivation or Rab4 activation are still unclear. One possibility is through the direct phosphorylation of Rab proteins (<xref ref-type="bibr" rid="bib73">Steger et al., 2016</xref>; <xref ref-type="bibr" rid="bib86">van der Sluijs et al., 1992a</xref>), or indirect regulations by Rab GAPs or GEFs. Interestingly, in contrast to the Ras-ERK pathway, which shows extensive spreading into dendrites or nucleus (<xref ref-type="bibr" rid="bib98">Yoshimura et al., 2010</xref>; <xref ref-type="bibr" rid="bib79">Tang and Yasuda, 2017</xref>; <xref ref-type="bibr" rid="bib100">Zhai et al., 2013</xref>), the activity of Rab10 and Rab4 is restricted to the stimulated spines during sLTP. Thus, Rab10 and Rab4 may regulate local membrane trafficking in spines, whereas ERK may regulate AMPAR exocytosis in dendrites, through different downstream effectors. Notably, a spine-restricted pattern of signaling activity has also been observed for Cdc42 and Cofilin activation during sLTP, which promotes the actin polymerization (<xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>; <xref ref-type="bibr" rid="bib3">Bosch et al., 2014</xref>). Given that some Rab proteins are known to regulate actin polymerization (<xref ref-type="bibr" rid="bib40">Lanzetti, 2007</xref>), it is plausible that they influence AMPAR exocytosis and spine enlargement through modulation of actin dynamics. Thus, the combination of local membrane trafficking and actin polymerization in spines appears important for spine expansion during sLTP.</p><p>Finally, our results highlight the diverse roles of Rab proteins in the orchestrated regulation of membrane trafficking during sLTP. It appears that Rab proteins operate in different directions and time windows. Whereas Rab10 negatively regulates sLTP for a long time (~30 min), Rab4 positively regulates the initial ~5 min of sLTP. Coordination of the upregulation and downregulation of the activity of various Rab proteins with unique functional and temporal properties would allow for the flexible and reliable control of membrane trafficking in multiple forms of spine structural plasticity. Although we measured the activity of only two Rab proteins in sLTP, it is likely that other members among the ~60 Rab family proteins are critical for different spatiotemporal aspects of spine structural plasticity. Imaging the activity of other Rab proteins using similar Rab sensors will hopefully reveal the coordinated signaling that regulates membrane trafficking during synaptic plasticity.</p><sec id="s3-1"><title>Materials availability statement</title><p>Plasmids developed in this study are available at Addgene. Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact Ryohei Yasuda (ryohei.yasuda@mpfi.org).</p></sec></sec><sec id="s4" sec-type="methods"><title>Methods</title><sec id="s4-1"><title>HEK 293T cells</title><p>HEK 293T cells (Fisher Scientific) were grown in DMEM (Gibco) supplemented with 10% fetal bovine serum (Invitrogen) and 1% penicillin-streptomycin (Invitrogen). The cell cultures were maintained at 37°C in a 5% CO<sub>2</sub> humidified atmosphere.</p></sec><sec id="s4-2"><title>Rat</title><p>CD wild-type rats (CD IGS) purchased from Charles River Laboratories were used for preparation of hippocampal organotypic slice culture and dissociated postnatal cortical neuron culture. Both male and female animals were used and randomly allocated to experimental groups. All the experiments were performed in accordance with guidelines from the US National Institutes of Health and were approved by Duke University Medical Center and the Institutional Animal Care and Use Committee of Max Planck Florida Institute for Neuroscience.</p></sec><sec id="s4-3"><title>Mice</title><p>Rab10 conditional knockout (<italic>Rab10<sup>fl/fl</sup></italic>) mouse was a gift from Dr. Timothy E McGraw (<xref ref-type="bibr" rid="bib88">Vazirani et al., 2016</xref>). <italic>Camk2a-Cre</italic> mice were previously reported (<xref ref-type="bibr" rid="bib82">Tsien et al., 1996</xref>). Swiss Webster mice were obtained from Charles River for endogenous Rab10 knockin experiments. Both male and female mice were used. All the experiments were performed in accordance with guidelines from the US National Institutes of Health and were approved by the Institutional Animal Care and User Committee of Max Planck Florida Institute for Neuroscience.</p></sec><sec id="s4-4"><title>Organotypic slice culture</title><p>Organotypic rat or mouse hippocampal slices were prepared at postnatal day 6 or 7, as previously described (<xref ref-type="bibr" rid="bib75">Stoppini et al., 1991</xref>). Briefly, coronal hippocampal slices were dissected at 400 μm thickness using a McIlwain tissue chopper (Ted Pella, Inc). The slices were cultured on hydrophilic PTFE membranes (Millicell, Millipore), which were inserted in the culture medium containing 8.4 mg/ml MEM (Sigma), 20% horse serum (Gibco), 1 mM L-Glutamine (Sigma), 5.2 mM NaHCO<sub>3</sub>, 12.9 mM D-Glucose, 0.075% Ascorbic acid, 30 mM Hepes,1 µg/ml Insulin, 1 mM CaCl<sub>2</sub> and 2 mM MgSO<sub>4</sub>. The slice cultures were maintained at 35 °C in a 5% CO<sub>2</sub> humidified atmosphere.</p></sec><sec id="s4-5"><title>Dissociated neuron cultur</title><p>Dissociated postnatal cortical cultures were prepared as previously published (<xref ref-type="bibr" rid="bib70">Shibata et al., 2015</xref>). Briefly, cortices dissected from newborn rats (random male and female) were triturated and plated into 5 cm dishes coated with 50 µg/ml PLL (Sigma) in culture medium consisting of Basal Medium Eagle (BME) supplemented with 10% heat-inactivated fetal bovine serum (Invitrogen), 35 mM glucose (Sigma), 1 mM L-glutamine (Sigma), 100 U/ml penicillin (Sigma), and 0.1 mg/ml streptomycin (Sigma). Neuron cultures were maintained at 35°C in a 5% CO<sub>2</sub> humidified atmosphere.</p></sec><sec id="s4-6"><title>DNA constructs</title><p>To generate pCAGGS-mCherry, pCAGGS-mTurquoise2, pCAGGS-mCherry-mCherry, and pCAGGS-mVenus-mVenus, the respective fluorescence protein sequence was cloned into pCAGGS backbone from Raichu-2517KX gifted from Dr. Michiyuki Matsuda (<xref ref-type="bibr" rid="bib37">Kitano et al., 2008</xref>). Rat full-length <italic>Rab4a</italic>, <italic>Rab5a</italic>, <italic>Rab7a</italic>, <italic>Rab8a</italic>, <italic>Rab11a,</italic> and <italic>Rab10</italic> were amplified by PCR from rat brain cDNA library (Dharmacon, Cat# LRN1205) and cloned into pmEGFP-C1 (<xref ref-type="bibr" rid="bib54">Murakoshi et al., 2011</xref>), pCAGGS-mEGFP, pCAGGS-mCherry, and pCAGGS-mTurquoise2. All FRET donors were tagged at the amino terminus of Rab proteins. The linker between FRET donors (mEGFP or m Turquoise2) and Rab GTPases is SGLRSRG. <italic>Rabenosyn5 [439-503]</italic>, <italic>EEA1[36-126]</italic>, <italic>FYCO1[963–1206]</italic>, <italic>Rim2 [27-175],</italic> and <italic>Rim1 [20-227]</italic> cDNAs were amplified by PCR from rat brain cDNA library and inserted into pCAGGS-mCherry-mCherry and pCAGGS-mVenus-mVenus constructs. The second mVenus has a mutation L68V, which improves bleaching time by 30% (called SYFP2; <xref ref-type="bibr" rid="bib39">Kremers et al., 2006</xref>). The linkers between mCherry and RBDs are SGLRSRA for the amino terminus and GSG for the carboxy terminus. The linkers between mVenus and Rim1 [20-227] are SGLRSRG for the amino terminus and GSG for the carboxy terminus. Rab dominant negative (DN) and constitutively active (CA) mutants were generated from wild type Rab GTPases by site-directed mutagenesis and subcloned into pCAGGS-mEGFP, pCAGGS-3Flag, and pCAGGS-mCherry constructs. PIK3R1 [114-313], Rin1, RNTre (USP6NL), RabGAP5 (SGSM3), GRAB (Rab3il1), Rabin8 (Rab3ip), TBC1D30, Evi5l, and VPS39 were amplified from rat brain cDNA library and cloned into pCAGGS or pCAGGS-3HA vector. Full-length Dennd4c, TBC1D15, and Rab3gap1 were amplified by PCR from MGC mouse cDNA (Dharmacon) and subcloned into pCAGGS-3HA construct. psiCHECK-2-Sal4-wt_3'UTR was a gift from Robert Blelloch (Addgene plasmid # 31862). psiCHECK-2-Rab GTPases were generated by inserting Rab GTPases into psiCHECK-2-Sal4-wt_3'UTR by XhoI/NotI.Tetanus toxin light chain (<xref ref-type="bibr" rid="bib14">Eisel et al., 1993</xref>) was subcloned into pCAGGS-3Flag construct. SEP-GluA1 was a gift from Dr. Scott Soderling at Duke University (<xref ref-type="bibr" rid="bib90">Wang et al., 2008</xref>). mTurquoise2-pBAD and mVenus-pBAD were gifts from Michael Davidson (Addgene plasmid # 54844 and # 54845). The human codon-optimized <italic>S. pyogenes</italic> Cas9 (SpCas9) and single guide RNA (sgRNA) expression plasmid was a gift from F. Zhang (pX330, Addgene plasmid # 42230; <xref ref-type="bibr" rid="bib10">Cong et al., 2013</xref>).</p></sec><sec id="s4-7"><title>Antibodies</title><p>These antibodies were used for SDS-PAGE and immunoblotting: rabbit anti-Rab10 (1:500; Cell Signaling Technology, #8127), rabbit anti-Rab4b (1:500; Thermo Fisher Scientific, #PA5-49124), mouse anti-Rab4a (1:500; ThermoFisher Scientific, #MA5-17161) and mouse anti-β-actin (1:2000; Sigma, #A5316), HRP-conjugated goat anti-rabbit (1:5000, Bio-Rad, #170–6515) and HRP-conjugated goat anti-mouse (1:5000, Bio-Rad, #172–1011). These antibodies were used for histology: rabbit anti-HA primary antibody (1:1000, Cell Signaling Technology, #3724), Goat anti-Rabbit IgG (H+L) Secondary Antibody, Alexa Fluor 568 conjugate (1:1000, Thermo Fisher Scientific, #A-11036).</p></sec><sec id="s4-8"><title>RNA interference</title><p>For shRNA-mediated knock-down of Rab4 and Rab10, we used SHCLND-NM_009003 plasmid for Rab4a (Sigma-Aldrich, TRCN0000088975), SHCLND-NM_016154 plasmid for Rab4b (Sigma-Aldrich, TRCN0000380038), and TRC-Mm1.0 plasmid for Rab10 (Dharmacon, TRCN0000100838). The respective shRNA sequences (according to manufacturer and sequencing confirmation) are<named-content content-type="sequence"> CCGGAGATGACTCAAATCATACCATC</named-content><named-content content-type="sequence">TCGAGATGGTATGATTTGAGTCATCTTTTTTG</named-content> for Rab4a, <named-content content-type="sequence">GTACCGGGGTCATCCTC</named-content><named-content content-type="sequence">TGTGGCAACAACTCGAGTTGTTGCCACAGAGGATGACCTTTTTTG</named-content> for Rab4b, and <named-content content-type="sequence">TTGCCTTTCGGTACAACTCTC</named-content> (mature antisense) for Rab10. For shRNA control, we used scrambled shRNA with the following sequence: <named-content content-type="sequence">CCTAAGGTTAAGTCGCCCTCG</named-content><named-content content-type="sequence">CTCGAGCGAGGGCGACTTAACCTTAGG</named-content> (Addgene plasmid # 1864). To visualize transfected neurons in sLTP experiments, mEGFP was inserted into scrambled shRNA, <italic>Rab4a</italic> and <italic>Rab10</italic> shRNA by KpnI/BamHI, and <italic>Rab4b</italic> shRNA by BamHI/BstEII. The mEGFP expression was driven by a separate hPGK promoter (shRNA/mEGFP). For the rescue experiments, silent mutations of three amino acids were introduced at the targeted region for Rab4a and Rab10 by site-directed mutagenesis (for shRNA-resistant Rab4a, <named-content content-type="sequence">AAAGATGACTC<bold><underline>C</underline></bold>AA<bold><underline>C</underline></bold>CA<bold><underline>C</underline></bold>ACCATA</named-content>; for shRNA-resistant Rab10, <named-content content-type="sequence">GAGAGTTGT<bold><underline>G</underline></bold>CC<bold><underline>C</underline></bold>AA<bold><underline>G</underline></bold>GGCAA</named-content>).</p></sec><sec id="s4-9"><title>Transfection of FRET sensors in HEK 293T cells and organotypic slice cultures</title><p>HEK 293T cells were transfected with Lipofectamine 2000 following the manufacturer’s recommendations (Invitrogen), and imaged 24–48 hr after transfection. For Rab GTPase FRET sensors, the ratio of transfected FRET donor and acceptor was 1:3.</p><p>After 9–13 days in culture, organotypic hippocampal slices were transfected biolistically with gene gun (<xref ref-type="bibr" rid="bib50">McAllister, 2000</xref>; Bio-Rad, pressure 200 psi) using gold beads (Bio-Rad, 1.6 µm) coated with plasmids, and imaged 3–4 days after transfection. For the Rab4 FRET sensor, pmEGFP-Rab4a and pCAGGS-mCherry-Rabenosyn5 [439-503]-mCherry (1:1, 20 µg) were expressed for 3 days. For the Rab10 FRET sensor, pCAGGS-mTurquoise2-Rab10 and pCAGGS-mVenus-Rim1 [20-227]-mVenus (1:3, 40–60 µg) were expressed for 3–4 days.</p></sec><sec id="s4-10"><title>Two-photon fluorescence lifetime imaging and two-photon glutamate uncaging</title><p>We used a custom-built two-photon fluorescence lifetime imaging microscope (2pFLIM) with two Ti:Sapphire lasers (Chameleon, Coherent) as previously described (<xref ref-type="bibr" rid="bib53">Murakoshi et al., 2008</xref>; <xref ref-type="bibr" rid="bib95">Yasuda, 2006</xref>). One laser was tuned to 920 nm to excite both donor for lifetime measurement and acceptor for morphology. The second laser was tuned to 720 nm for glutamate uncaging. The imaging power for two lasers was controlled independently by electro-optical modulators (Conoptics). The fluorescence was collected by an objective (60 X, 1.0 numerical aperture, Olympus), separated by a dichroic mirror (Chroma, 565 nm for mEGFP/mCherry and 505 nm for mTurquoise2/mVenus), filtered by wavelength filters (Chroma, ET520/60 M-2p for mEGFP, ET620/60 M-2p for mCherry, ET480/40 M-2p for mTurquoise2, ET535/50 M-2p for mVenus), and finally detected by two independent photoelectron multiplier tubes (PMTs). We used 1.2–1.5 mW imaging power for mEGFP/mCherry sensor, and 1.6–1.8 mW for mTurquoise2/mVenus sensor.</p><p>Two-photon fluorescence lifetime imaging in HEK 293T cells was performed in imaging solution containing 20 mM HEPES (pH 7.3), 130 mM NaCl, 2.5 mM KCl, 2 mM MgCl<sub>2</sub>, 2 mM NaHCO<sub>3</sub>, 1.25 mM NaH<sub>2</sub>PO<sub>4</sub> and 25 mM D-glucose.</p><p>Two-photon lifetime imaging and glutamate uncaging in organotypic slices was performed in Mg<sup>2+</sup>-free artificial cerebrospinal fluid (ACSF; 127 mM NaCl, 2.5 mM KCl, 1.25 mM NaH<sub>2</sub>PO<sub>4</sub>, 25 mM NaHCO<sub>3</sub>, 25 mM D-glucose, aerated with 95% O<sub>2</sub> and 5% CO<sub>2</sub>) with 4 mM CaCl<sub>2</sub>, 4 mM MNI-caged glutamate (Tocris) and 1 μM tetrodotoxin (TTX, Enzo). Uncaging pulses (0.5 Hz, 60 s, 4–6ms, 3.5–3.8 mW) were delivered to the back focal aperture of the objective, which was around 0.5 µm from the tip of the spine head. The adjacent spine refers to the first or second spine located next to the stimulated spine, typically positioned opposite to the stimulated spine. Additionally, the size of the adjacent spine must be sufficiently large for imaging. We used a heater controller (Warner Instruments TC-344B) to monitor the temperature at 25–27°C or 33–35°C. Images were analyzed by MATLAB (MathWorks) and ImageJ.</p></sec><sec id="s4-11"><title>Pharmacological inhibition</title><p>The control and experimental groups were derived from the same batch of samples and were imaged on the same day to ensure consistent microscope settings and imaging buffer conditions, but in an unblinded manner. For the AP5 experiment, control samples were incubated in the imaging buffer for 30 min prior to the induction of sLTP. Following the control experiments, AP5 was added to the same imaging buffer, and samples were incubated for an additional 30 min before sLTP induction. In the CN21 and U0126 experiments, scrambled peptide or U0124 (as controls) was added into the imaging buffer, and samples were incubated for 30 min prior to sLTP induction. After the control experiments, the perfusion system was thoroughly washed with imaging buffer. For the experimental groups, CN21 peptide or U0126 was then added to the imaging buffer, and samples were incubated for 30 min before sLTP induction.</p></sec><sec id="s4-12"><title>2pFLIM data analysis</title><p>As described previously (<xref ref-type="bibr" rid="bib24">Harvey et al., 2008</xref>), the fraction of donor bound to acceptor was determined by fitting a fluorescence lifetime curve that summed contributions from all pixels in the image, using a double exponential function convolved with the Gaussian pulse response function, as shown in the equation:<disp-formula id="equ1"><alternatives><mml:math id="m1"><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mi>F</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mo>=</mml:mo><mml:msub><mml:mi>F</mml:mi><mml:mn>0</mml:mn></mml:msub><mml:mrow><mml:mo>[</mml:mo><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mi>D</mml:mi></mml:msub><mml:mi>H</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mn>0</mml:mn></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi>τ</mml:mi><mml:mi>D</mml:mi></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi>τ</mml:mi><mml:mi>G</mml:mi></mml:msub><mml:mo stretchy="false">)</mml:mo><mml:mo>+</mml:mo><mml:msub><mml:mi>P</mml:mi><mml:mrow><mml:mi>A</mml:mi><mml:mi>D</mml:mi></mml:mrow></mml:msub><mml:mi>H</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mn>0</mml:mn></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi>τ</mml:mi><mml:mrow><mml:mi>A</mml:mi><mml:mi>D</mml:mi></mml:mrow></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi>τ</mml:mi><mml:mi>G</mml:mi></mml:msub><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>]</mml:mo></mml:mrow></mml:mstyle></mml:mrow></mml:mstyle></mml:math><tex-math id="t1">\begin{document}$$\displaystyle  F(t) = F_0 \left[ P_DH(t,t_0,\tau_D,\tau_G)+P_{AD}H(t,t_0,\tau_{AD}, \tau_G)\right]$$\end{document}</tex-math></alternatives></disp-formula></p><p>In this equation, <italic>F<sub>0</sub></italic> is the peak fluorescence before convolution, while <inline-formula><alternatives><mml:math id="inf1"><mml:msub><mml:mrow><mml:mi>P</mml:mi></mml:mrow><mml:mrow><mml:mi>D</mml:mi></mml:mrow></mml:msub></mml:math><tex-math id="inft1">\begin{document}$P_{D}$\end{document}</tex-math></alternatives></inline-formula> and <inline-formula><alternatives><mml:math id="inf2"><mml:msub><mml:mrow><mml:mi>P</mml:mi></mml:mrow><mml:mrow><mml:mi>A</mml:mi><mml:mi>D</mml:mi></mml:mrow></mml:msub></mml:math><tex-math id="inft2">\begin{document}$P_{AD}$\end{document}</tex-math></alternatives></inline-formula> represent the fractions of free donor and donor bound to the acceptor, respectively. <italic>t</italic><sub>0</sub> is the time offset, <inline-formula><alternatives><mml:math id="inf3"><mml:msub><mml:mrow><mml:mi>τ</mml:mi></mml:mrow><mml:mrow><mml:mi>D</mml:mi></mml:mrow></mml:msub></mml:math><tex-math id="inft3">\begin{document}$\tau _{D}$\end{document}</tex-math></alternatives></inline-formula> is the fluorescence lifetime of the free donor, <inline-formula><alternatives><mml:math id="inf4"><mml:msub><mml:mrow><mml:mi>τ</mml:mi></mml:mrow><mml:mrow><mml:mi>A</mml:mi><mml:mi>D</mml:mi></mml:mrow></mml:msub></mml:math><tex-math id="inft4">\begin{document}$\tau _{AD}$\end{document}</tex-math></alternatives></inline-formula> is the fluorescence lifetime of donor bound with acceptor, <inline-formula><alternatives><mml:math id="inf5"><mml:mstyle><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mrow><mml:mi>G</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:mstyle></mml:math><tex-math id="inft5">\begin{document}$\tau_{G}$\end{document}</tex-math></alternatives></inline-formula> defines the width of the Gaussian pulse response function, and <italic>H</italic>(<italic>t</italic>) is a fluorescence lifetime curve with a single exponential function convolved with the Gaussian pulse response function:<disp-formula id="equ2"><alternatives><mml:math id="m2"><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mi>H</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>t</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mn>0</mml:mn></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mi>D</mml:mi></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mi>G</mml:mi></mml:msub></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mfrac><mml:mn>1</mml:mn><mml:mn>2</mml:mn></mml:mfrac><mml:mi>exp</mml:mi><mml:mo>⁡</mml:mo><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mfrac><mml:msubsup><mml:mi>τ</mml:mi><mml:mi>G</mml:mi><mml:mn>2</mml:mn></mml:msubsup><mml:mrow><mml:mn>2</mml:mn><mml:msubsup><mml:mi>τ</mml:mi><mml:mi>D</mml:mi><mml:mn>2</mml:mn></mml:msubsup></mml:mrow></mml:mfrac><mml:mo>−</mml:mo><mml:mfrac><mml:mrow><mml:mi>t</mml:mi><mml:mo>−</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mi>D</mml:mi></mml:msub></mml:mfrac></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mi>e</mml:mi><mml:mi>r</mml:mi><mml:mi>f</mml:mi><mml:mi>c</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mfrac><mml:mrow><mml:msubsup><mml:mi>τ</mml:mi><mml:mi>G</mml:mi><mml:mn>2</mml:mn></mml:msubsup><mml:mo>−</mml:mo><mml:msub><mml:mi>τ</mml:mi><mml:mi>D</mml:mi></mml:msub><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>t</mml:mi><mml:mo>−</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:msqrt><mml:mn>2</mml:mn></mml:msqrt><mml:msub><mml:mi>τ</mml:mi><mml:mi>D</mml:mi></mml:msub><mml:msub><mml:mi>τ</mml:mi><mml:mi>G</mml:mi></mml:msub></mml:mrow></mml:mfrac><mml:mo>)</mml:mo></mml:mrow></mml:mstyle></mml:mrow></mml:mstyle></mml:math><tex-math id="t2">\begin{document}$$\displaystyle  H\left (t,t_0,t_D,t_G\right)=\frac{1}{2}\exp\left(\frac{\tau_G^2}{2\tau_D^2}-\frac{t-t_0}{\tau _D}\right)erfc\left(\frac{\tau_G^2-\tau_D\left(t-t_0\right)}{\sqrt2\tau_D\tau_G}\right) $$\end{document}</tex-math></alternatives></disp-formula></p><p>in which erfc is the complementary error function. We fixed <inline-formula><alternatives><mml:math id="inf6"><mml:mstyle><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mrow><mml:mi>D</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:mstyle></mml:math><tex-math id="inft6">\begin{document}$\tau_{D}$\end{document}</tex-math></alternatives></inline-formula> as 2.46 ns, 2.60 ns, and 4.15 ns, corresponding to the free mEGFP–Rab4a, mEGFP-Rab10, and mTurquoise2-Rab10 donors, respectively. Similarly, <inline-formula><alternatives><mml:math id="inf7"><mml:mstyle><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mrow><mml:mi>A</mml:mi><mml:mi>D</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:mstyle></mml:math><tex-math id="inft7">\begin{document}$\tau_{AD}$\end{document}</tex-math></alternatives></inline-formula> was set to the fluorescence lifetime of the donor when bound to its acceptor, with values of 1.10 ns for the mEGFP/mCherry pair and 1.60 ns for the mTurquoise2/mVenus pair.</p><p>To create the fluorescence lifetime image, we computed the mean photon arrival time, &lt;<italic>t</italic>&gt;, for each pixel using the following equation:<disp-formula id="equ3"><alternatives><mml:math id="m3"><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mo>&lt;</mml:mo><mml:mi>t</mml:mi><mml:mo>&gt;=</mml:mo><mml:mo>∫</mml:mo><mml:mi>t</mml:mi><mml:mi>F</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mi>d</mml:mi><mml:mi>t</mml:mi><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:mo>∫</mml:mo><mml:mi>F</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mi>d</mml:mi><mml:mi>t</mml:mi></mml:mstyle></mml:mrow></mml:mstyle></mml:math><tex-math id="t3">\begin{document}$$\displaystyle  \lt t\gt = \int tF\left (t\right)dt/\int F\left (t\right)dt$$\end{document}</tex-math></alternatives></disp-formula></p><p>The mean photon arrival time is then related to the mean fluorescence lifetime, &lt;τ&gt;, by an offset arrival time, <inline-formula><alternatives><mml:math id="inf8"><mml:msub><mml:mrow><mml:mi>t</mml:mi></mml:mrow><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub></mml:math><tex-math id="inft8">\begin{document}$t_{0}$\end{document}</tex-math></alternatives></inline-formula>, which is determined through image-wide fitting:<disp-formula id="equ4"><alternatives><mml:math id="m4"><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mo>&lt;</mml:mo><mml:mi>τ</mml:mi><mml:mo>&gt;=&lt;</mml:mo><mml:mi>t</mml:mi><mml:mo>&gt;</mml:mo><mml:mo>−</mml:mo><mml:mtext> </mml:mtext><mml:msub><mml:mi>t</mml:mi><mml:mrow><mml:mn>0</mml:mn></mml:mrow></mml:msub></mml:mstyle></mml:mrow></mml:mstyle></mml:math><tex-math id="t4">\begin{document}$$\displaystyle  \lt \tau \gt = \lt t\gt -\ t_{0}$$\end{document}</tex-math></alternatives></disp-formula></p><p>For small regions of interest (ROIs) within an image, such as spines or dendrites, the binding fraction (<italic>P</italic><sub>AD</sub>) was calculated using the formula:<disp-formula id="equ5"><alternatives><mml:math id="m5"><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:msub><mml:mi>P</mml:mi><mml:mrow><mml:mi>A</mml:mi><mml:mi>D</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mrow><mml:mi>D</mml:mi></mml:mrow></mml:msub><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mrow><mml:mi>D</mml:mi></mml:mrow></mml:msub><mml:mo>−</mml:mo><mml:mo>&lt;</mml:mo><mml:mi>τ</mml:mi><mml:mo>&gt;</mml:mo></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mrow><mml:mi>D</mml:mi></mml:mrow></mml:msub><mml:mo>−</mml:mo><mml:msub><mml:mi>τ</mml:mi><mml:mrow><mml:mi>A</mml:mi><mml:mi>D</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mrow><mml:mi>D</mml:mi></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>τ</mml:mi><mml:mrow><mml:mi>A</mml:mi><mml:mi>D</mml:mi></mml:mrow></mml:msub><mml:mo>−</mml:mo><mml:mo>&lt;</mml:mo><mml:mi>τ</mml:mi><mml:mo>&gt;</mml:mo></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mstyle></mml:math><tex-math id="t5">\begin{document}$$\displaystyle  P_{AD}=\frac{\tau _{D}\left (\tau _{D}-\lt \tau \gt \right)}{\left (\tau _{D}-\tau _{AD}\right)\left (\tau _{D}+\tau _{AD}-\lt \tau \gt \right)}$$\end{document}</tex-math></alternatives></disp-formula></p></sec><sec id="s4-13"><title>Spine volume measurement</title><p>To estimate the spine volume in neurons expressing Rab sensors, we measured the integrated fluorescence intensity of mCherry-RBD-mCherry or mVenus-RBD-mCherry in the spine, which is proportional to the spine volume (<xref ref-type="bibr" rid="bib31">Holtmaat et al., 2005</xref>), and normalized it by the fluorescence intensity in the thick apical dendrite from the same neuron. We further multiplied this normalized value by the volume of the point spread function, which gives the spine volume in fL (<xref ref-type="bibr" rid="bib55">Nimchinsky et al., 2004</xref>; <xref ref-type="bibr" rid="bib24">Harvey et al., 2008</xref>).</p><p>For the sensor experiments, we used mCherry as a volume indicator. There is significant bleed-through of donor fluorescence into the acceptor channel (<xref ref-type="bibr" rid="bib95">Yasuda, 2006</xref>). However, we anticipate that this would not have a large impact on the estimation of spine volume changes, as fluorescence changes in both the red and green channels exhibit similar time courses (<xref ref-type="fig" rid="fig2">Figures 2e</xref> and <xref ref-type="fig" rid="fig3">3e</xref>, <xref ref-type="fig" rid="fig2s5">Figure 2—figure supplements 5a</xref> and <xref ref-type="fig" rid="fig2s6">6d</xref>).</p></sec><sec id="s4-14"><title>Discussion on pH sensitivity of fluorescent sensors</title><p>Rab4 is located outside of the endosome (<xref ref-type="bibr" rid="bib85">van der Sluijs et al., 1991</xref>), making it unlikely that intra-vesicular pH changes affect fluorescence lifetime measurements. The fluorescence lifetime of EGFP is minimally pH-dependent, as its protonated state does not fluoresce (<xref ref-type="bibr" rid="bib38">Kneen et al., 1998</xref>). Additionally, mCherry is highly resistant to pH variations, with a pKa of less than 4.5 (<xref ref-type="bibr" rid="bib67">Shaner et al., 2004</xref>). Therefore, we conclude that endosomal pH changes are unlikely to impact our Rab activity measurements.</p></sec><sec id="s4-15"><title>NMDA application</title><p>Rat organotypic hippocampal slices (DIV 9-DIV 13) were biolistically transfected with indicated Rab sensors. After 3–4 day expression, CA1 pyramidal neurons were imaged in the basal solution (ACSF with 2 mM CaCl<sub>2</sub>, 2 mM MgCl<sub>2</sub> and 1 μM TTX) for 6 min. NMDA (Tocris) was bath-applied in the zero Mg<sup>2+</sup> solution (ACSF with 4 mM CaCl<sub>2</sub>, 15 µM NMDA and 1 μM TTX) for 2 min, and replaced by the washout solution (ACSF with 2 mM CaCl<sub>2</sub>, 2 mM MgCl<sub>2</sub>, 1 μM TTX and 50 µM AP5) for 32 min.</p></sec><sec id="s4-16"><title>sLTP induction and measurement</title><p>Rat organotypic hippocampal slices were biolistically transfected with indicated constructs at days in vitro 9–13 (DIV 9-DIV 13). The constructs for Rab shRNA knockdown experiments were: scrambled shRNA/mEGFP (Ctrl shRNA); <italic>Rab4a</italic> shRNA/mEGFP and <italic>Rab4b</italic> shRNA/mEGFP (<italic>Rab4a/4b</italic> shRNA); <italic>Rab4a</italic> shRNA/mEGFP, <italic>Rab4b</italic> shRNA/mEGFP, and pCAGGS-mCherry-shRNA-resistant Rab4a (Rab4a rescue); <italic>Rab10</italic> shRNA/mEGFP (<italic>Rab10</italic> shRNA); <italic>Rab10</italic> shRNA/mEGFP and pCAGGS-mCherry-shRNA-resistant Rab10 (Rab10 rescue). The constructs for DN- and CA-Rab overexpression experiments were: pCAGGS-mEGFP (Ctrl); pCAGGS-mEGFP and pCAGGS-mCherry-Rab DN (Rab DN); pCAGGS-mEGFP and pCAGGS-mCherry-Rab CA (Rab CA). The constructs were expressed for 4–5 days for <italic>Rab</italic> shRNA knock-down and 2–3 days for DN- or CA-Rab mutant overexpression. CA1 pyramidal neurons were imaged in ACSF (aerated with 95% O<sub>2</sub> and 5% CO<sub>2</sub>) with 4 mM CaCl<sub>2</sub>, 4 mM MNI-caged glutamate and 1 μM TTX. Two-photon glutamate uncaging (0.5 Hz, 60 s, 4–6ms, 3.5–3.8 mW) was performed at a single spine. All experiments were paired with the same day controls from the same batch of slices. The acquired images were analyzed by MATLAB (MathWorks).</p><p>Organotypic hippocampal slices of <italic>Rab10</italic><sup>fl/fl</sup> mice were biolistically transfected with tdTomato-Cre and mEGFP, or tdTomato and mEGFP as a control at DIV 10. At DIV 14, CA1 pyramidal neurons were imaged in ACSF (aerated with 95% O<sub>2</sub> and 5% CO<sub>2</sub>) with 4 mM CaCl<sub>2</sub>, 4 mM MNI-caged glutamate, and 1 μM TTX. Two-photon glutamate uncaging (0.5 Hz, 60 s) was performed at a single spine. All experiments were paired with the same day controls from the same batch of slices. The acquired images were analyzed by MATLAB (MathWorks).</p></sec><sec id="s4-17"><title>Spine size and spine density measurement</title><p>Rat organotypic hippocampal slices were biolistically transfected with indicated constructs at DIV 9. The constructs for <italic>Rab</italic> shRNA knockdown experiments were: scrambled shRNA/mEGFP (Ctrl shRNA), <italic>Rab4a</italic> shRNA/mEGFP and <italic>Rab4b</italic> shRNA/mEGFP (<italic>Rab4a/4b</italic> shRNA), or <italic>Rab10</italic> shRNA/mEGFP (<italic>Rab10</italic> shRNA). After 4 days of expression, CA1 pyramidal neurons were imaged in ACSF by two-photon microscopy at 25–27°C. All experiments were paired with the same-day controls from the same batch of slices. The acquired images were analyzed by MATLAB (MathWorks) and ImageJ.</p></sec><sec id="s4-18"><title>Activity-dependent SEP-GluA1 exocytosis</title><p>Rat organotypic hippocampal slices were biolistically transfected with indicated constructs at DIV 9-DIV 13. The DNA constructs for each condition were: pCAGGS-mCherry, SEP-GluA1, and scrambled shRNA (Ctrl shRNA); pCAGGS-mCherry, SEP-GluA1, and pCAGGS-3Flag-TeTxLC (TeTxLC); pCAGGS-mCherry, SEP-GluA1, <italic>Rab4a</italic> shRNA, and <italic>Rab4b</italic> shRNA (<italic>Rab4a/4b</italic> shRNA); pCAGGS-mCherry, SEP-GluA1, and <italic>Rab10</italic> shRNA (<italic>Rab10</italic> shRNA); pCAGGS-mCherry, SEP-GluA1, <italic>Rab4a</italic> shRNA, <italic>Rab4b</italic> shRNA, and pCAGGS-3Flag-shRNA-resistant Rab4a (Rab4a rescue); pCAGGS-mCherry, SEP-GluA1, <italic>Rab10</italic> shRNA, and pCAGGS-3Flag-shRNA-resistant Rab10 (Rab10 rescue). After 4 days expression, CA1 pyramidal neurons were imaged in ACSF (aerated with 95% O<sub>2</sub> and 5% CO<sub>2</sub>) with 4 mM CaCl<sub>2</sub>, 4 mM MNI-caged glutamate, and 1 μM TTX at 25–27°C. All experiments were paired with the same day controls from the same batch of slices. After taking five baseline images of a secondary apical dendrite (1 min interval) with 1.2–1.5 mW imaging laser power, we bleached the whole dendrite by increasing the imaging laser power to 4.0–4.5 mW for 2 min. We then performed two-photon glutamate uncaging (0.5 Hz, 60 s, 4–6ms, 3.5–3.8 mW) at a single spine and collected eight images (1 min interval). The acquired images were analyzed by MATLAB (MathWorks) and ImageJ.</p><p>In <xref ref-type="fig" rid="fig5s2">Figure 5—figure supplement 2</xref>, we addressed the impact of SEP-GluA1’s lateral diffusion by subtracting the change in spine surface area (Volume<sup>2/3</sup>) rather than correcting for spine volume. This approach is necessary because SEP-GluA1 is only fluorescent on the cell surface, while the fluorescence intensity of cytosolic proteins such as mCherry is proportional to spine volume. Therefore, the overall fluorescence change (<italic>ΔF</italic>) should be the addition of the contribution from AMPAR trafficking (<italic>ΔF</italic><sub>t</sub>) and the change in surface area (<italic>ΔS</italic>) multiplied by the remaining SEP-GluA1 fluorescence per unit area (<italic>f</italic>):<disp-formula id="equ6"><alternatives><mml:math id="m6"><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>F</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>F</mml:mi><mml:mi>t</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:mi>f</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mstyle></mml:mrow></mml:mstyle></mml:math><tex-math id="t6">\begin{document}$$\displaystyle \Delta F = \Delta F_t + f \Delta S$$\end{document}</tex-math></alternatives></disp-formula></p><p>Since fluorescence immediately after photobleaching (before AMPAR trafficking happens), <italic>F<sub>o</sub>,</italic> is given by <italic>fS</italic> (<italic>S</italic> is the surface area of the spine):<disp-formula id="equ7"><alternatives><mml:math id="m7"><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>F</mml:mi></mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mfrac><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>F</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mfrac><mml:mo>+</mml:mo><mml:mfrac><mml:mrow><mml:mi>f</mml:mi><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow><mml:mrow><mml:mi>f</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mstyle></mml:math><tex-math id="t7">\begin{document}$$\displaystyle \frac{\Delta F}{F_0} = \frac{\Delta F_t}{F_0} + \frac{f \Delta S}{f S} $$\end{document}</tex-math></alternatives></disp-formula><disp-formula id="equ8"><alternatives><mml:math id="m8"><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>F</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mi>f</mml:mi><mml:mi>S</mml:mi></mml:mrow></mml:mfrac><mml:mo>+</mml:mo><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>S</mml:mi></mml:mrow><mml:mi>S</mml:mi></mml:mfrac></mml:mstyle></mml:mrow></mml:mstyle></mml:math><tex-math id="t8">\begin{document}$$\displaystyle = \frac{\Delta F_t}{f S} + \frac{\Delta S}{S} $$\end{document}</tex-math></alternatives></disp-formula></p><p>Assuming that the surface area change (<italic>ΔS</italic>/<italic>S</italic>) is the volume change (<italic>ΔV</italic>/<italic>V</italic>) to the power of 2/3, the contribution of the AMPAR trafficking can be calculated as:<disp-formula id="equ9"><alternatives><mml:math id="m9"><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>F</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow><mml:mi>F</mml:mi></mml:mfrac><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>F</mml:mi></mml:mrow><mml:mi>F</mml:mi></mml:mfrac><mml:mo>−</mml:mo><mml:msup><mml:mrow><mml:mo>(</mml:mo><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>V</mml:mi></mml:mrow><mml:mi>V</mml:mi></mml:mfrac><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mn>2</mml:mn><mml:mrow><mml:mo>/</mml:mo></mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msup></mml:mstyle></mml:mrow></mml:mstyle></mml:math><tex-math id="t9">\begin{document}$$\displaystyle  \frac{\Delta F_t}{F} = \frac{\Delta F}{F} - \left( \frac{\Delta V}{V} \right)^{2/3} $$\end{document}</tex-math></alternatives></disp-formula></p><p>Thus, we obtained the contribution of AMPAR trafficking by subtracting the volume change (<italic>ΔV</italic>/<italic>V</italic>) to the power of 2/3 from the fluorescence recovery (<italic>ΔF/F</italic>).</p></sec><sec id="s4-19"><title>Validation of SLENDR-mediated Rab10 knockin</title><p>The SLENDR technique was as previously described (<xref ref-type="bibr" rid="bib52">Mikuni et al., 2016</xref>). Briefly, Rab10 sgRNA (IDT) was ligated into the sgRNA scaffold of pX330 (<xref ref-type="bibr" rid="bib64">Ran et al., 2013</xref>) to generate Rab10 sgRNA-expressing plasmid. Rab10 sgRNA-expressing plasmid and single-stranded oligodeoxynucleotides (ssODNs; IDT) for homology-directed repair (HDR) were transfected into Neuro 2 a cells by electroporation. Genomic DNA from the electroporation-transduced Neuro 2 a cells was isolated with DNeasy Blood &amp; Tissue Kit (QIAGEN) following the manufacturer’s instruction. Genomic PCR was performed using extracted DNA as a template with corresponding primer set. The PCR product was purified by QiaQuick gel extraction kit (QIAGEN) and then proceeded to Sanger sequencing to detect 2XHA insertion.</p><list list-type="simple" id="list1"><list-item><p>sgRNA target sequences (5’–3’)</p></list-item><list-item><p>Rab10: <named-content content-type="sequence">ACGTCTTCTTCGCCATTGGGAGG</named-content></p></list-item><list-item><p>Rab4a: <named-content content-type="sequence">GCGGAGCTGTGGCGGCAGAA</named-content></p></list-item><list-item><p>ssODNs sequence (5’–3’, upper case: 2XHA tag sequence)</p></list-item><list-item><p><named-content content-type="sequence">ggagttggttgtagtgagcagttccgatcccttggggctaccggcggcgagcgcccgagccgctcctcccaatgTACCCATACGATGTTCCAGATTACGCTTACCCATACGATGTTCCAGATTACGCTgcgaagaagacgtacgacctgcttttcaagctgctcctgatcggggactcgggagtgggcaagacctgcgtc</named-content></p></list-item><list-item><p>Rab10 primer set, recombination</p></list-item><list-item><p>Rab10-2xHA-Fw: <named-content content-type="sequence">GCTCCTCCCAATGTACCCAT</named-content></p></list-item><list-item><p>Rab10-RV: <named-content content-type="sequence">AGAAACCGGATTCTGGAACG</named-content></p></list-item><list-item><p>Rab10 primer set, control</p></list-item><list-item><p>Rab10-FW: <named-content content-type="sequence">TTTCAAGCTGCTCCTGATCG</named-content></p></list-item><list-item><p>Rab10-RV: <named-content content-type="sequence">AGAAACCGGATTCTGGAACG</named-content></p></list-item></list></sec><sec id="s4-20"><title>In utero electroporation and histology for SLENSR-mediated Rab10 knockin</title><p>In utero electroporation (IUE) was performed as previously described. Electroporation was performed at E13-E14 in anesthetized mice. For endogenous Rab10 localization, 1–2 μl mixture of plasmids (pX330-Rab10 sgRNA and pPB-CAG-mEGFP, 1 μg/μl) and ssODNs (20 μM) was injected into the lateral ventricle of each pup. For colocalization examination of endogenous Rab10 and endosomal markers, 1–2 μl mixture of plasmids (pX330-Rab10 sgRNA and pCAGGS-mEGFP-Rab5a, pCAGGS-mEGFP-Rab7a or pCAGGS-mCherry-Rab11a, 1 μg/μl) and ssODNs (20 μM) was injected into the lateral ventricle of each pup.</p><p>With ketamine-xylazine anesthesia (100 μg of ketamine –10 μg of xylazine per g of body weight, i.p.), mice were perfused with 4% paraformaldehyde in 0.1 M phosphate buffer, pH 7.4, and the brain was fixed for 4–12 hr. After washing with PBS, coronal vibratome sections (50 μm in thickness) were prepared (VT1200, Leica). For immunohistochemistry, slices were permeabilized with 0.3–0.4% Triton X-100 in PBS, blocked with 5% normal goat serum and 2% BSA or 5% normal donkey serum in PBS, and incubated overnight with rabbit anti-HA primary antibody (1:1000, Cell Signaling Technology). After 1–3 hr incubation with Alexa Fluor-conjugated secondary antibodies (Invitrogen) followed by DAPI staining (0.1 μg/ml, Life Technologies), slices were imaged using a confocal laser-scanning microscope (LSM880 with Airyscan, Zeiss). Images were processed and analyzed using the Zen (Zeiss) and the Fiji software.</p></sec><sec id="s4-21"><title>Dual-luciferase reporter assay</title><p>HEK 293T cells were plated into 24-well plates and cotransfected with psiCHECK-2-Rab GTPases and the respective shRNA at a 1:3 ratio. For positive control, we used shRNA against <italic>hRluc</italic> with the following sequence: <named-content content-type="sequence">TCATAGTAGTTGATGAAGGAG</named-content> (mature antisense). After 48 hr transfection, luciferase activity was measured using the Dual-Luciferase Reporter Assay System (Promega) following the manufacturer’s protocol. After removing the culture medium, cells were briefly rinsed in pre-warmed 0.1 M phosphate-buffered saline (PBS) and lysed in 100 µL of 1 X passive lysis buffer in the luciferase assay kit. After gently shaking for 15 min at room temperature, samples were prepared in a 96-well plate for luminescence measurement using the GloMax-Multi Detection System (Promega). For data analysis, the hRluc (firefly luciferase) luminescence was normalized by the hluc+ (<italic>Renilla</italic> Luciferase) luminescence in each well to control for transfection efficiency. All experiments were paired with the same day controls from the same batch of HEK 293T cells.</p></sec><sec id="s4-22"><title>Lentivirus infection in dissociated neuron cultures</title><p>Dissociated postnatal cortical cultures were prepared as previously published (<xref ref-type="bibr" rid="bib70">Shibata et al., 2015</xref>). Both male and female animals were used and randomly allocated to experimental groups. Proliferation of non-neuronal cells was inhibited by adding Cytosine arabinoside (2.5 μM) at DIV 2. At DIV 6, cultures were infected with lentiviral particles containing <italic>Rab4a</italic> shRNA/mEGFP (<italic>Rab4a</italic> shRNA); <italic>Rab4b</italic> shRNA/mEGFP (<italic>Rab4b</italic> shRNA); <italic>Rab4a</italic> shRNA/mEGFP and <italic>Rab4b</italic> shRNA/mEGFP (<italic>Rab4a</italic>/<italic>4b</italic> shRNA); <italic>Rab10</italic> shRNA/mEGFP (<italic>Rab10</italic> shRNA) or scrambled shRNA/mEGFP (Ctrl shRNA). At DIV 17, cells were washed with ice-cold PBS and immediately extracted with ice-cold T-PER protein extraction buffer (Pierce) supplemented with inhibitors for proteases and phosphatases (Roche). The lysates were centrifuged at 15,000 × <italic>g</italic> for 15 min at 4 °C and the supernatants were used for further analysis.</p></sec><sec id="s4-23"><title>SDS-PAGE and immunoblotting</title><p>Samples were prepared for standard SDS-PAGE and separated on 12% acrylamide gel (Mini-PROTEAN TGX precast gels, Bio-Rad), then transferred onto 0.2 µm pore size PVDF membranes (Millipore) using semi-dry immunoblotting (transfer buffer containing 25 mM Tris, 200 mM glycine and 20% methanol). Membranes were blocked with 5% nonfat milk (Great Value) in TBS-T (Tris Buffered Saline with 0.1% Tween-20) for 1 hr at room temperature, then incubated overnight at 4°C with primary antibodies diluted in 5% BSA in TBS-T. We used the following commercially available antibodies: rabbit anti-Rab10 (1:500; Cell Signaling Technology), rabbit anti-Rab4b (1:500; Thermo Fisher Scientific), mouse anti-Rab4a (1:500; Thermo Fisher Scientific), and mouse anti-β-actin (1:2000; Sigma). Membranes were washed three times for 15 min in TBS-T, followed by incubation for 2 hr at room temperature with HRP-conjugated goat anti-rabbit or goat anti-mouse secondary antibodies (Bio-Rad), diluted 1:5000 in 5% nonfat milk in TBS-T. Membranes were washed 3 times for 15 minutes in TBS-T, then incubated with Pierce ECL Plus western blotting substrate (for Rab10, Rab4a, and Rab4b) or Pierce ECL western blotting substrate (for β-actin) for detection of western blotted proteins. We used the Image Quant LAS4000 Imaging System (GE Healthcare) to visualize protein bands.</p></sec><sec id="s4-24"><title>Acute slice preparation</title><p>Rab 10 Cre – and Cre +littermate mice (P 30 P 50, blind-coded) were anesthetized by isoflurane inhalation and perfused intracardially with a chilled choline chloride solution. The brain was removed and placed in the same choline chloride solution composed of 124 mM Choline Chloride, 2.5 mM KCl, 26 mM NaHCO<sub>3</sub>, 3.3 mM MgCl<sub>2</sub>, 1.2 mM NaH<sub>2</sub>PO<sub>4</sub>, 10 mM Glucose, and 0.5 mM CaCl<sub>2</sub>, pH 7.4 equilibrated with 95% O<sub>2</sub> and 5% CO<sub>2</sub>. Coronal slices (300 µm) containing the hippocampus were cut using a vibratome (Leica) and maintained in a submerged chamber at 32 °C for 1 hr and then at room temperature in oxygenated ACSF.</p></sec><sec id="s4-25"><title>Electrophysiology</title><p>All animals were coded for their genotypes, and all recordings and analyses were conducted blindly. Slices were perfused with oxygenated ACSF containing 2 mM CaCl<sub>2</sub>, 2 mM MgCl<sub>2</sub>, and 100 µM picrotoxin. One glass electrode (resistance ~4 MΩ) containing the same ACSF solution was placed in the dendritic layer of the CA1 area (~100–200 µm away from the soma) while stimulating Schaffer Collateral fibers with current square pulses (0.1ms) using a concentric bipolar stimulation electrode (FHC). The initial slope of the fEPSP was monitored with custom software (Matlab). The stimulation strength was set to ~50% saturation. A 20 min stable baseline was first recorded before induction of LTP. LTP was induced by applying 5 trains of TBS. One TBS train consists of 10 bursts of 4 stimulations at 100 Hz. The inter-burst interval is 200ms and the interval between trains is 2 s. fEPSPs responses were recorded for an hour after the stimulation protocol. All data were analyzed with an in-house program written with Matlab. Data are presented as mean ± SEM.</p></sec><sec id="s4-26"><title>Whole cell recording</title><p>All animals were blinded and coded, and all recordings and analyses were conducted blindly. Animals were sedated by isoflurane inhalation and perfused intracardially with ice-cold choline chloride solution containing 124 mM choline chloride, 2.5 mM KCl, 26 mM NaHCO<sub>3</sub>, 3.3 mM MgCl<sub>2</sub>, 1.2 mM NaH<sub>2</sub>PO<sub>4</sub>, 10 mM Glucose, and 0.5 mM CaCl<sub>2</sub> (pH 7.4 equilibrated with 95% O<sub>2</sub> and 5% CO<sub>2</sub>). Brains were then removed and placed in the same chilled choline chloride solution, and coronal acute slices of 300 µm from left and right hemispheres were collected and placed in oxygenated (95% O<sub>2</sub> and 5% CO<sub>2</sub>) ACSF (in mM: NaCl 127, KCl 2.5, Glucose 10, NaHCO<sub>3</sub> 25, NaH<sub>2</sub>PO<sub>4</sub> 1.25, MgCl<sub>2</sub> 2, CaCl<sub>2</sub> 2 mM) at 32°C for 1 hr and maintained at room temperature for the rest of the experiment. Whole-cell voltage clamp recordings of hippocampal neurons of Cre+ and Cre- Rab10 animals were performed with a Multiclamp 700B. Patch pipettes (3–6 ΩM) were filled with a Cs Methanesulfonate solution (in mM: Cs MeSO<sub>4</sub> 120, NaCl 5, TEA-Cl 10, HEPES 5, QX314-Br 5, EGTA 5, NaATP 4, MgGTP 0.3, pH 7.4). Experiments were performed at room temperature (18–20°C), and slices were perfused with oxygenated ACSF (in mM: NaCl 127, KCl 2.5, Glucose 10, NaHCO<sub>3</sub> 25, NaH<sub>2</sub>PO<sub>4</sub> 1.25, MgCl<sub>2</sub> 2, CaCl<sub>2</sub> 2 mM, picrotoxin 100 μM). AMPAR and NMDAR-evoked responses were measured by voltage-clamping the cells at –70 mV and +40 mV, respectively. Postsynaptic currents were evoked by electrical stimulation using a concentric bipolar electrode (THC), with a pulse of 0.1ms. Input-output curves were first assessed by changing the stimulation intensity from 0 to 200 μA. For the rest of the recordings, the stimulation intensity was set to the amplitude that elicited a 50% EPSC response. Recordings were filtered at 2 kHz and digitized at 10 kHz. Series and input resistances were monitored throughout the experiment. All data were acquired and analyzed with an in-house program written in Matlab. Data are presented as mean ± SEM.</p></sec><sec id="s4-27"><title>Quantification and statistical analysis</title><p>Results are reported as mean ± SEM. Statistical analysis was performed with GraphPad Prism 7 and 10. Comparisons between two groups were performed using unpaired two-tailed Student’s t-tests (* p&lt;0.05, ** p&lt;0.01, *** p&lt;0.001, **** p&lt;0.0001). Comparisons for more than two groups were performed using one-way ANOVA followed by Bonferroni’s multiple comparison tests or two-way ANOVA (* p&lt;0.05, ** p&lt;0.01, *** p&lt;0.001, **** p&lt;0.0001).</p></sec></sec></body><back><sec sec-type="additional-information" id="s5"><title>Additional information</title><fn-group content-type="competing-interest"><title>Competing interests</title><fn fn-type="COI-statement" id="conf1"><p>No competing interests declared</p></fn><fn fn-type="COI-statement" id="conf2"><p>A founder of Florida Lifetime Imaging, a company that sells integrated solutions for performing fluorescence lifetime imaging and FRET imaging</p></fn></fn-group><fn-group content-type="author-contribution"><title>Author contributions</title><fn fn-type="con" id="con1"><p>Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft</p></fn><fn fn-type="con" id="con2"><p>Conceptualization, Funding acquisition, Investigation, Methodology, Writing – review and editing</p></fn><fn fn-type="con" id="con3"><p>Data curation, Formal analysis, Investigation, Methodology, Writing – review and editing</p></fn><fn fn-type="con" id="con4"><p>Data curation, Formal analysis, Investigation</p></fn><fn fn-type="con" id="con5"><p>Data curation, Formal analysis</p></fn><fn fn-type="con" id="con6"><p>Data curation, Formal analysis</p></fn><fn fn-type="con" id="con7"><p>Data curation, Formal analysis</p></fn><fn fn-type="con" id="con8"><p>Data curation, Formal analysis</p></fn><fn fn-type="con" id="con9"><p>Resources</p></fn><fn fn-type="con" id="con10"><p>Data curation, Project administration, Writing – review and editing</p></fn><fn fn-type="con" id="con11"><p>Conceptualization, Software, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Methodology, Project administration, Writing – review and editing</p></fn></fn-group><fn-group content-type="ethics-information"><title>Ethics</title><fn fn-type="other"><p>All animal procedures were conducted in accordance with the guidelines of the U.S. National Institutes of Health and were approved by the Institutional Animal Care and Use Committee (IACUC) of the Max Planck Florida Institute for Neuroscience and Duke University Medical Center. Protocols used in this study were reviewed and approved under protocol numbers MPFI-002 and A196-19-09.</p></fn></fn-group></sec><sec sec-type="supplementary-material" id="s6"><title>Additional files</title><supplementary-material id="mdar"><label>MDAR checklist</label><media xlink:href="elife-103879-mdarchecklist1-v1.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material></sec><sec sec-type="data-availability" id="s7"><title>Data availability</title><p>All source data of the figures and detailed plasmid information are available at: <ext-link ext-link-type="uri" xlink:href="https://www.synapse.org/Synapse:syn68690323/wiki/63348">https://www.synapse.org/Synapse:syn68690323/wiki/63348</ext-link>. Any additional information ofon this paper is available from the lead contact upon request. Fluorescence lifetime imaging analysis software used in this study is available at (<ext-link ext-link-type="uri" xlink:href="https://github.com/ryoheiyasuda/FLIMimage_Matlab_ScanImage">https://github.com/ryoheiyasuda/FLIMimage_Matlab_ScanImage</ext-link>, copy archived at <xref ref-type="bibr" rid="bib97">Yasuda, 2019</xref>).</p><p>The following dataset was generated:</p><p><element-citation publication-type="data" specific-use="isSupplementedBy" id="dataset1"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>J</given-names></name><name><surname>Nishiyama</surname><given-names>J</given-names></name><name><surname>Parra-Bueno</surname><given-names>P</given-names></name><name><surname>Okaz</surname><given-names>E</given-names></name><name><surname>Oz</surname><given-names>G</given-names></name><name><surname>Liu</surname><given-names>X</given-names></name><name><surname>Watabe</surname><given-names>T</given-names></name><name><surname>Suponitsky-Kroyter</surname><given-names>I</given-names></name><name><surname>McGraw</surname><given-names>TE</given-names></name><name><surname>Szatmari</surname><given-names>EM</given-names></name><name><surname>Yasuda</surname><given-names>R</given-names></name></person-group><year iso-8601-date="2025">2025</year><data-title>Rab10 inactivation promotes AMPAR trafficking and spine enlargement during long-term potentiation</data-title><source>Synapse</source><pub-id pub-id-type="doi">10.7303/syn68690323</pub-id></element-citation></p></sec><ack id="ack"><title>Acknowledgements</title><p>This work was supported by grants from Japan Society for the Promotion of Science Overseas Research Fellowship (667 (JN)), National Institute of Health (R35NS116704(RY), R01MH080047 (RY), DP1NS096787(RY), R01MH095090 (JN and RY)) and Max Planck Florida Institute for Neuroscience. We thank the donation from Luen Fung Group (JW). We thank Drs Sridhar Raghavachari, Scott Soderling, Fan Wang, and Anne West for important discussions. We thank Dr Scott Soderling for SEP-GluA1 plasmid. We thank DrBoris Kantor and Marguerita Klein at Duke University Viral Vector Core for lentivirus production, Dr Long Yan and light microscopy facility at Max Planck Florida Institute for technical support, David Kloetzer for laboratory management and Dr Lesley Colgan for critical reading of the manuscript. 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The evidence supporting the conclusions of the paper is <bold>solid</bold>, and several improvements were noted by the reviewers upon revision, although some persisting inconsistencies would benefit from further clarification.</p></body></sub-article><sub-article article-type="referee-report" id="sa1"><front-stub><article-id pub-id-type="doi">10.7554/eLife.103879.3.sa1</article-id><title-group><article-title>Reviewer #1 (Public review):</article-title></title-group><contrib-group><contrib contrib-type="author"><anonymous/><role specific-use="referee">Reviewer</role></contrib></contrib-group></front-stub><body><p>Summary:</p><p>Wang et al. created a series of specific FLIM-FRET sensors to measure the activity of different Rab proteins in small cellular compartments. They apply the new sensors to monitor Rab activity in dendritic spines during induction of LTP. They find sustained (30 min) inactivation of Rab10 and transient (5 min) activation of Rab4 after glutamate uncaging in zero Mg. NMDAR function and CaMKII activation are required for these effects. Knock-down of Rab4 reduced spine volume change while knock-down of Rab10 boosted it and enhanced functional LTP (in KO mice). To test Rab effects on AMPA receptor exocytosis, the authors performed FRAP of fluorescently labeled GluA1 subunits in the plasma membrane. Within 2-3 min, new AMPARs appear on the surface via exocytosis. This process is accelerated by Rab10 knock-down and slowed by Rab4 knock-down. The authors conclude that CaMKII promotes AMPAR exocytosis by (i) activating Rab4, the exocytosis driver and (ii) inhibiting Rab10, possibly involved in AMPAR degradation.</p><p>Strengths:</p><p>The work is a technical tour de force, adding fundamental insights to our understanding of the crucial functions of different Rab proteins in promoting/preventing synaptic plasticity. The complexity of compartmentalized Ras signaling is poorly understood and this study makes substantial inroads. The new sensors are thoroughly characterized, seem to work very well and will be quite useful for the neuroscience community and beyond (e.g. cancer research). The use of FLIM for read-out is compelling for precise activity measurements in rapidly expanding compartments (i.e., spines during LTP). In addition to structural changes, evidence for functional LTP is provided, too.</p><p>Weaknesses:</p><p>The interpretation of the FRAP experiments (Fig. 5, Ext. Data Fig. 13) is not straightforward as spine volume and surface area greatly expand during uncaging. I appreciate the correction for added spine membrane shown in Extended Data Fig. 14i.</p><p>Pharmacological experiments were not conducted or analyzed blind, risking bias in the selection/exclusion of experiments for analysis.</p></body></sub-article><sub-article article-type="referee-report" id="sa2"><front-stub><article-id pub-id-type="doi">10.7554/eLife.103879.3.sa2</article-id><title-group><article-title>Reviewer #2 (Public review):</article-title></title-group><contrib-group><contrib contrib-type="author"><anonymous/><role specific-use="referee">Reviewer</role></contrib></contrib-group></front-stub><body><p>Summary:</p><p>Wang et al. developed a set of optical sensors to monitor Rab protein activity. Their investigation into Rab activity in dendritic spines during structural long-term plasticity (sLTP) revealed sustained Rab10 inactivation (&gt;30min) and transient Rab4 activation (~5 min). Through pharmacological and genetic manipulation to constitutively activate or inhibit Rab proteins, the authors discovered that Rab10 negatively regulates sLTP and AMPA receptor trafficking, while Rab4 positively influences sLTP but only during the transient phase. These optical sensors provide new tools for studying Rab activity in cell biology and neurobiology. The distinct kinetics and functions of Rab proteins are important for understanding synaptic plasticity. However, there are some concerns regarding result inconsistencies within this manuscript and with prior work.</p><p>Strengths:</p><p>(1) The introduction of a series of novel sensors that can address numerous questions in Rab biology.</p><p>(2) The use of multiple methods to manipulate Rab proteins to reveal the roles of Rab10 and Rab4 in LTP.</p><p>(3) The discovery of Rab4 activation and Rab10 inhibition with different kinetics during sLTP, correlating with their functional roles in the transient (Rab4) and both transient and sustained (Rab10) phases of sLTP.</p><p>Weaknesses:</p><p>(1) The discrepancy between spine phenotype and sLTP potential with Rab10 perturbation remains unexplained (refer to previous Weakness #4). The basal state is the outcome of many activity-dependent processes that are physiologically relevant. It is also unclear why different preparations would yield different results. These can be experimentally addressed, and it is at least important to highlight and discuss the discrepancies.</p><p>(2) In the response, the authors estimated that the bleed-through from mEGFP-Rab is ~3% and the red channel signal from FRET changes is ~20%. The context of these percentages is unclear. Are they percentages of the total signal in the red channel, or does 3% refer to 3% of the green channel signal? Additionally, there is no explanation of how these numbers were estimated.</p><p>(3) The changes in the fEPSP slope in response to theta burst stimulation (a decrease followed by a gradual increase) differ from prior publications (e.g. PMID: 1359925, 3967730, 19144965, 20016099). The explanation of these differences due to different conditions in response to Reviewer's recommendation #6 does not seem sufficient.</p></body></sub-article><sub-article article-type="referee-report" id="sa3"><front-stub><article-id pub-id-type="doi">10.7554/eLife.103879.3.sa3</article-id><title-group><article-title>Reviewer #3 (Public review):</article-title></title-group><contrib-group><contrib contrib-type="author"><anonymous/><role specific-use="referee">Reviewer</role></contrib></contrib-group></front-stub><body><p>Summary:</p><p>This study examines the roles of Rab10 and Rab4 proteins in structural long-term potentiation (sLTP) and AMPA receptor (AMPAR) trafficking in hippocampal dendritic spines using various different methods and organotypic slice cultures as the biological model.</p><p>The paper shows that Rab10 inactivation enhances AMPAR insertion and dendritic spine head volume increase during sLTP, while Rab4 supports the initial stages of these processes. The key contribution of this study is identifying Rab10 inactivation as a previously unknown facilitator of AMPAR insertion and spine growth, acting as a brake on sLTP when active. Rab4 and Rab10 seems to be playing opposing roles, suggesting a somewhat coordinated mechanism that precisely controls synaptic potentiation, with Rab4 facilitating early changes and Rab10 restricting the extent and timing of synaptic strengthening.</p><p>Strengths:</p><p>The study combines multiple techniques such as FRET/FLIM imaging, pharmacology, genetic manipulations and electrophysiology to dissect the roles of Rab10 and Rab4 in sLTP. The authors developed highly sensitive FRET/FLIM-based sensors to monitor Rab protein activity in single dendritic spines. This allowed them to study the spatiotemporal dynamics of Rab10 and Rab4 activity during glutamate uncaging induced sLTP. They also developed various controls to ensure the specificity of their observations. For example, they used a false acceptor sensor to verify the specificity of the Rab10 sensor response.</p><p>This study reveals previously unknown roles for Rab10 and Rab4 in synaptic plasticity, showing their opposing functions in regulating AMPAR trafficking and spine structural plasticity during LTP.</p><p>Weaknesses:</p><p>In the first round of revision I raised these points:</p><p>(1) In sLTP, the initial volume of stimulated spines is an important determinant of induced plasticity. To address changes in initial volume and those induced by uncaging, the authors present Extended Data Figure 2. In my view, the methods of fitting, sample selection, or both may pose significant limitations for interpreting the overall results. While the initial spine size distribution for Rab10 experiments spans ~0.1-0.4 fL (with an unusually large single spine at the upper end), Rab4 spine distribution spans a broader range of ~0.1-0.9 fL. If the authors applied initial size-matched data selection or used polynomial rather than linear fitting, panels a, b, e, f, and g might display a different pattern. In that case, clustering analysis based on initial size may be necessary to enable a fair comparison between groups-not only for this figure but also for main Figures 2 and 3.</p><p>- The authors responded to this point as follows: For sensor uncaging experiments, we usually uncaged glutamate at large mushroom spines because we need to have a good signal-to-noise ratio. We just happen to choose these spines with different initial sizes for Rab4 sensor and Rab10 sensor uncaging experiments.</p><p>Even if they happen to choose these spine sizes, it is possible to compare only those that match in size. This does not require any additional experiments. Because of this, I do not find this response satisfactory.</p><p>(2) Another limitation is the absence of in vivo validation, as the experiments were performed in organotypic hippocampal slices, which may not fully replicate the complexity of synaptic plasticity in an intact brain, where excitatory and inhibitory processes occur concurrently. High concentrations of MNI-glutamate (4 mM in this study) are known to block GABAergic responses due to its antagonistic effect on GABA-A receptors, thereby precluding the study of inhibitory network activity or connectivity, which is already known to be altered in organotypic slice cultures.</p><p>- I found the Authors following response reasonable and useful:</p><p>We appreciate the reviewer's comments and would like to clarify that we have conducted experiments in acute slices for LTP using conditional Rab10 knockout (Fig. 4k, 4l), and we obtained similar results. Additionally, we have recently published findings on the behavioral deficits observed in heterozygous Rab10 knockout mice (PubMed 37156612). These studies further support our conclusions and provide additional context for our findings.</p></body></sub-article><sub-article article-type="author-comment" id="sa4"><front-stub><article-id pub-id-type="doi">10.7554/eLife.103879.3.sa4</article-id><title-group><article-title>Author response</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Wang</surname><given-names>Jie</given-names></name><role specific-use="author">Author</role><aff><institution>Stanford University</institution><addr-line><named-content content-type="city">Stanford</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Nishiyama</surname><given-names>Jun</given-names></name><role specific-use="author">Author</role><aff><institution>Duke-NUS Medical School</institution><addr-line><named-content content-type="city">singapore</named-content></addr-line><country>Singapore</country></aff></contrib><contrib contrib-type="author"><name><surname>Parra-Bueno</surname><given-names>Paula</given-names></name><role specific-use="author">Author</role><aff><institution>Max Planck Florida Institute for Neuroscience</institution><addr-line><named-content content-type="city">Jupiter</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Okaz</surname><given-names>Elwy</given-names></name><role specific-use="author">Author</role><aff><institution>Max Planck Florida Institute for Neuroscience</institution><addr-line><named-content content-type="city">Jupiter</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Oz</surname><given-names>Goksu</given-names></name><role specific-use="author">Author</role><aff><institution>Max Planck Florida Institute for Neuroscience</institution><addr-line><named-content content-type="city">Jupiter</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Liu</surname><given-names>Xiaodan</given-names></name><role specific-use="author">Author</role><aff><institution>Max Planck Florida Institute for Neuroscience</institution><addr-line><named-content content-type="city">Jupiter</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Watabe</surname><given-names>Tetsuya</given-names></name><role specific-use="author">Author</role><aff><institution>Max Planck Florida Institute for Neuroscience</institution><addr-line><named-content content-type="city">Jupiter</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Suponitsky-Kroyter</surname><given-names>Irena</given-names></name><role specific-use="author">Author</role><aff><institution>Max Planck Florida Institute for Neuroscience</institution><addr-line><named-content content-type="city">Jupiter</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>McGraw</surname><given-names>Timothy E</given-names></name><role specific-use="author">Author</role><aff><institution>Weill Cornell Medicine</institution><addr-line><named-content content-type="city">New York</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Szatmari</surname><given-names>Erzsebet M</given-names></name><role specific-use="author">Author</role><aff><institution>East Carolina University</institution><addr-line><named-content content-type="city">Greenville</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Yasuda</surname><given-names>Ryohei</given-names></name><role specific-use="author">Author</role><aff><institution>Max Planck Florida Institute for Neuroscience</institution><addr-line><named-content content-type="city">Jupiter</named-content></addr-line><country>United States</country></aff></contrib></contrib-group></front-stub><body><p>The following is the authors’ response to the original reviews.</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #1 (Public review):</bold></p><p>Summary:</p><p>Wang et al. created a series of specific FLIM-FRET sensors to measure the activity of different Rab proteins in small cellular compartments. They apply the new sensors to monitor Rab activity in dendritic spines during induction of LTP. They find sustained (30 min) inactivation of Rab10 and transient (5 min) activation of Rab4 after glutamate uncaging in zero Mg. NMDAR function and CaMKII activation are required for these effects. Knockdown of Rab4 reduced spine volume change while knockdown of Rab10 boosted it and enhanced functional LTP (in KO mice). To test Rab effects on AMPA receptor exocytosis, the authors performed FRAP of fluorescently labeled GluA1 subunits in the plasma membrane. Within 2-3 min, new AMPARs appear on the surface via exocytosis. This process is accelerated by Rab10 knock-down and slowed by Rab4 knock-down. The authors conclude that CaMKII promotes AMPAR exocytosis by (i) activating Rab4, the exocytosis driver and (ii) inhibiting Rab10, possibly involved in AMPAR degradation.</p><p>Strengths:</p><p>The work is a technical tour de force, adding fundamental insights to our understanding of the crucial functions of different Rab proteins in promoting/preventing synaptic plasticity. The complexity of compartmentalized Ras signaling is poorly understood and this study makes substantial inroads. The new sensors are thoroughly characterized, seem to work very well, and will be quite useful for the neuroscience community and beyond (e.g. cancer research). The use of FLIM for read-out is compelling for precise activity measurements in rapidly expanding compartments (i.e., spines during LTP).</p></disp-quote><p>Thank you for the evaluation.</p><disp-quote content-type="editor-comment"><p>Weaknesses:</p><p>The interpretation of the FRAP experiments (Figure 5, Ext. Data Figure 13) is not straightforward as spine volume and surface area greatly expand during uncaging. I appreciate the correction for the added spine membrane shown in Extended Data Figure 14i, but shouldn't this be a correction factor (multiplication) derived from the volume increase instead of a subtraction?</p></disp-quote><p>We thank the reviewer for this question. The fluorescence change should reflect a subtraction of surface area, as SEP-GluA1 is only fluorescent on the cell surface, unlike cytosolic mCherry, whose fluorescence intensity is proportional to spine volume. Therefore, the overall fluorescence change (Δ<italic>F</italic>) should be the addition of the contribution from AMPAR trafficking (Δ<italic>Ft</italic>) and the change in surface area (Δ<italic>S</italic>) multiplied by the remaining SEP-GluA1 fluorescence per unit area (<italic>f</italic>):</p><p>ΔF = Δ<italic>Ft</italic> + <italic>fΔS</italic></p><p>Since fluorescence immediately after photobleaching (before AMPAR trafficking happens), F<sub>o</sub>, is given by <italic>fS</italic> (<italic>S</italic> is the surface area of the spine):</p><p><italic>ΔF/Fo</italic> = Δ<italic>Ft</italic>/ F<sub>o</sub> + <italic>fΔS</italic> / <italic>fS</italic></p><p>= Δ<italic>Ft</italic>/<italic>fS</italic> + <italic>ΔS</italic>/<italic>S</italic></p><p>Assuming that the surface area change (<italic>ΔS</italic>/<italic>S</italic>) is the volume change (<italic>ΔV</italic>/<italic>V</italic>) to the power of 2/3, the contribution of the AMPAR trafficking can be calculated as:</p><p>Δ<italic>Ft</italic>/<italic>F</italic> = <italic>ΔF/F</italic> – (Δ<sup>V/V)2/3</sup></p><p>This is the reason that we subtracted the contribution of the spine surface area. We have discussed this in the updated method section.</p><disp-quote content-type="editor-comment"><p>Also, experiments were not conducted or analyzed blind, risking bias in the selection/exclusion of experiments for analysis. This reduces my confidence in the results.</p></disp-quote><p>We acknowledge the reviewer's concern regarding the lack of blinding in our experiments. However, it is challenging to conduct blinded experiments for certain types of studies, such as sensor screening for a protein family, where we do not have expected results or a specific hypothesis prior to the experiments. In these cases, our primary readout is whether the sensor indicates any activity change upon stimulation.</p><p>To address this concern, after identifying that Rab10 is inactivated during structural LTP (sLTP) and is likely important for inhibiting spine structural LTP, we performed blinded electrophysiology experiments and obtained similar results (deletion of Rab10 from Camk2a-positive neurons leads to enhanced LTP; Fig. 4k, 4l).</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #2 (Public review):</bold></p><p>Summary:</p><p>Wang et al. developed a set of optical sensors to monitor Rab protein activity. Their investigation into Rab activity in dendritic spines during structural long-term plasticity (sLTP) revealed sustained Rab10 inactivation (&gt;30min) and transient Rab4 activation (~5 min). Through pharmacological and genetic manipulation to constitutively activate or inhibit Rab proteins, they found that Rab10 negatively regulates sLTP and AMPA receptor insertion, while Rab4 positively influences sLTP but only in the transient phase. The optical sensors provide new tools for studying Rab activity in cells and neurobiology. However, a full understanding of the timing of Rab activity will require a detailed characterization of sensor kinetics.</p><p>Strengths:</p><p>(1) Introduction of a series of novel sensors that can address numerous questions in Rab biology.</p><p>(2) Multiple methods to manipulate Rab proteins to reveal the roles of Rab10 and rab4 in LTP.</p><p>(3) Discovery of Rab4 activation and Rab10 inhibition with different kinetics during sLTP, correlating with their functional roles in the transient (Rab4) and both transient and sustained (Rab10) phases of sLTP.</p></disp-quote><p>Thank you for the positive evaluation.</p><disp-quote content-type="editor-comment"><p>Weaknesses:</p><p>(1) Lack of characterization of sensor kinetics, making it difficult to determine if the observed Rab kinetics during sLTP were due to sensor behavior or actual Rab activity.</p></disp-quote><p>We estimated that the kinetics of the sensors for Rab4 and Rab10 are within a few minutes. For Rab4, we observed rapid increase and decrease of the activation in response to glutamate uncaging. Thus, this would be the upper limit of the ON/OFF time constants of Rab4. For Rab10, we observed a rapid dissociation of the sensor in response to sLTP induction within ~1 min. This means that the donor and acceptor molecules are quickly dissociated during the process. Thus, the off kinetics of the sensor is within the range of minute. Meanwhile, we have the on-kinetics from Rab10 activation (donor/accepter association) in response to NMDA application and again this is within a few minutes. Given these rapid sensor kinetics in neurons, our observation of the sustained inactivation of Rab10 should reflect the true behavior of Rab10, rather than just the sensor’s response.</p><p>We revised our manuscript discussion session as follows:</p><p>“Understanding the kinetics of Rab4 and Rab10 sensors is essential for interpreting their actual activity during sLTP. The Rab4 sensor exhibits a rapid rise and fall in activation (Fig. 3), indicating ON/OFF times of less than a few minutes. In contrast, the Rab10 sensor rapidly dissociates during sLTP induction (Fig. 2), with OFF kinetics occurring within one minute and fast ON kinetics in response to NMDA (Fig. 1j). Given these rapid kinetics, the observed sustained inactivation of Rab10 likely reflects its true behavior rather than sensor dynamics.”</p><disp-quote content-type="editor-comment"><p>(2) It is crucial to assess whether the overexpression of Rab proteins as reporters, affects Rab activity and cellular structure and physiology (e.g. spine number and size).</p></disp-quote><p>While we did not measure the effects of Rab sensor overexpression on Rab activity or cellular structure and physiology, we showed that sLTP is similar in neurons expressing sensors. This suggests that the overexpression of Rab sensors does not significantly disrupt signaling required for sLTP.</p><disp-quote content-type="editor-comment"><p>(3) The paper does not explain the apparently different results between NMDA receptor activation and glutamate uncaging. NMDA receptor activation increased Rab10 activity, while glutamate uncaging decreased it. NMDA receptor activation resulted in sustained Rab4 activation, whereas glutamate uncaging caused only brief activation of about 5 minutes. A potential explanation, ideally supported by data, is needed.</p></disp-quote><p>It is a long-standing question in the field why simple NMDA receptor activation by bath application of NMDA does not induce LTP, but instead induce LTD. Rab proteins are regulated by many GEFs and GAPs and identifying different mechanisms requires completely different techniques, such as molecular screening. While our manuscript provides some insights into this question by showing that they provide opposing signals for Rab10, we believe that identifying exact mechanisms would be out of the scope of this manuscript.</p><disp-quote content-type="editor-comment"><p>(4) There is a discrepancy between spine phenotype and sLTP potential with Rab10 perturbation. Rab10 perturbation affected spine density but not size, suggesting a role in spinogenesis rather than sLTP. However, glutamate uncaging affected sLTP, and spinogenesis was not examined. Explaining the discrepancy between spine size and sLTP potential is necessary. Exploring spinogenesis with glutamate uncaging would strengthen these results. Additionally, Figure 4j shows no change in synaptic transmission with Rab10 knockout, despite an increase in spine density. An explanation, ideally supported by data, is needed for the unchanged fEPSP slope despite an increase in spine density.</p></disp-quote><p>We thank the reviewer for raising these important questions. In our findings, shRNA-mediated knockdown of Rab10 did not alter spine size but did increase spine density in the basal state (Extended Data Fig. 11i). This suggests that Rab10 may restrict spinogenesis without affecting spine size. Conversely, sLTP induction via glutamate uncaging is an activity-dependent process that may involve different molecular mechanisms. The signal interplay between spinogenesis and sLTP and how the exact roles of Rab signaling in different modalities of plasticity would remain elusive for the future study.</p><p>The lack of change in synaptic transmission with Rab10 knockout, despite the increase in spine density from Rab10 shRNA knockdown, may be due to different preparation and developmental stages: spine density measurements were conducted with shRNA knockdown in organotypic slices (sliced at P6-8, DIV 9-13), while electrophysiological recordings were performed in knockout mice in acute slices from adult animals (P30-60).</p><disp-quote content-type="editor-comment"><p>(5) Spine volume was imaged using acceptor fluorophores (mCherry, or mCherry/Venus) at 920nm, where the two-photon cross-section of mCherry is minimal. 920nm was also used to excite the donor fluorophore, hence the spine volume measurement based on total red channel fluorescence is the sum of minimal mCherry fluorescence from direct 920nm excitation, bleed-through from the green channel, and FRET. This confounded measurement requires correction and clarification.</p></disp-quote><p>We assumed that the most of fluorescence is from direct excitation of mCherry at 920 nm. The contribution from the bleed-through from mEGFP-Rab (~3%) and from FRET changes (~20%) may influence the volume measurements. However, since we observed similar fluorescence changes in the green and red channels, these factors would have only a minor impact on our results (Extended Data Fig. 6a, 6d). Also, please note that the volume change in neurons expressing sensors is just to check if the volume change is normal, and not a major point of this manuscript. We clarified this in the method section as:</p><p>“For the sensor experiments, we used mCherry as a volume indicator. We acknowledge that contributions from bleed-through from mEGFP-Rab (approximately 3%) and FRET changes (around 20%) could affect the volume measurements. However, since we observed similar fluorescence changes in both the green and red channels, we believe these factors have a minimal impact on our results (Extended Data Fig. 6a, 6d).”</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #3 (Public review):</bold></p><p>Summary:</p><p>This study examines the roles of Rab10 and Rab4 proteins in structural long-term potentiation (sLTP) and AMPA receptor (AMPAR) trafficking in hippocampal dendritic spines using various different methods and organotypic slice cultures as the biological model.</p><p>The paper shows that Rab10 inactivation enhances AMPAR insertion and dendritic spine head volume increase during sLTP, while Rab4 supports the initial stages of these processes. The key contribution of this study is identifying Rab10 inactivation as a previously unknown facilitator of AMPAR insertion and spine growth, acting as a brake on sLTP when active. Rab4 and Rab10 seem to be playing opposing roles, suggesting a somewhat coordinated mechanism that precisely controls synaptic potentiation, with Rab4 facilitating early changes and Rab10 restricting the extent and timing of synaptic strengthening.</p><p>Strengths:</p><p>The study combines multiple techniques such as FRET/FLIM imaging, pharmacology, genetic manipulations, and electrophysiology to dissect the roles of Rab10 and Rab4 in sLTP. The authors developed highly sensitive FRET/FLIM-based sensors to monitor Rab protein activity in single dendritic spines. This allowed them to study the spatiotemporal dynamics of Rab10 and Rab4 activity during glutamate uncaging-induced sLTP. They also developed various controls to ensure the specificity of their observations. For example, they used a false acceptor sensor to verify the specificity of the Rab10 sensor response.</p><p>This study reveals previously unknown roles for Rab10 and Rab4 in synaptic plasticity, showing their opposing functions in regulating AMPAR trafficking and spine structural plasticity during LTP.</p></disp-quote><p>Thank you for the positive evaluation.</p><disp-quote content-type="editor-comment"><p>Weaknesses:</p><p>In sLTP, the initial volume of stimulated spines is an important determinant of induced plasticity. To address changes in initial volume and those induced by uncaging, the authors present Extended Data Figure 2. In my view, the methods of fitting, sample selection, or both may pose significant limitations for interpreting the overall results. While the initial spine size distribution for Rab10 experiments spans ~0.1-0.4 fL (with an unusually large single spine at the upper end), Rab4 spine distribution spans a broader range of ~0.1-0.9 fL. If the authors applied initial size-matched data selection or used polynomials rather than linear fitting, panels a, b, e, f, and g might display a different pattern. In that case, clustering analysis based on initial size may be necessary to enable a fair comparison between groups not only for this figure but also for main Figures 2 and 3.</p></disp-quote><p>We thank the reviewer for these questions. For sensor uncaging experiments, we usually uncaged glutamate at large mushroom spines because we need to have a good signal-to-noise ratio. We just happen to choose these spines with different initial sizes for Rab4 sensor and Rab10 sensor uncaging experiments.</p><disp-quote content-type="editor-comment"><p>Another limitation is the absence of in vivo validation, as the experiments were performed in organotypic hippocampal slices, which may not fully replicate the complexity of synaptic plasticity in an intact brain, where excitatory and inhibitory processes occur concurrently. High concentrations of MNI-glutamate (4 mM in this study) are known to block GABAergic responses due to its antagonistic effect on GABA-A receptors, thereby precluding the study of inhibitory network activity or connectivity [1], which is already known to be altered in organotypic slice cultures.</p><p>(1) <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/journals/neural-circuits/articles/10.3389/neuro.04.002.2009/full">https://www.frontiersin.org/journals/neural-circuits/articles/10.3389/neuro.04.002.2009/full</ext-link></p></disp-quote><p>We appreciate the reviewer's comments and would like to clarify that we have conducted experiments in acute slices for LTP using conditional Rab10 knockout (Fig. 4k, 4l), and we obtained similar results. Additionally, we have recently published findings on the behavioral deficits observed in heterozygous Rab10 knockout mice (PubMed 37156612). These studies further support our conclusions and provide additional context for our findings.</p><disp-quote content-type="editor-comment"><p><bold>Recommendations for the authors:</bold></p><p><bold>From the Senior/Reviewing Editor:</bold></p><p>I apologize that this took longer than intended. As you will see from the reviews there was some disagreement on several points. There was some disagreement among reviewers as to the strength of the evidence with some characterizing it as &quot;compelling,&quot; &quot;convincing,&quot; or &quot;solid&quot; while others felt the characterization of the sensors was &quot;incomplete&quot; and that this could have affected some of the conclusions. After extensive discussion, reviewers agreed that there was a valid concern that the conclusion that Rab10 activation is sustained could reflect a feature of the sensor. If Rab10/RBD dissociation rate were very low, and the affinity of binding were very high, this could lead to an incorrect estimate of the sustained binding due to sensor kinetics, not Rab10 activation. It was noted that this has been seen in other sensors previously (e.g. first generation PKA activity sensors), which the developers altered in later generations to increase reversibility and off kinetics of the sensor.</p><p>There was also discussion of how this might be addressed and we would be interested in your comments on this issue. It was suggested that it might be helpful to revise Figure 2b to show binding fraction dynamics separately for each spine (to determine whether any actually return to baseline). Subsequently, clustering of these binding dynamics into two groups could be summarized in a version of Fig. 2e for each cluster. Differences in spine volume dynamics between these clusters would provide a measure of how strongly Rab10 binding correlates with spine volume. If they never go back to baseline, some extra experiments with longer post-plasticity induction (150mins instead of 35), might show if any reversible Rab10 binding exists post-LTP induction.</p><p>An alternative suggestion was to measure the time course in the presence of a GAP or GEF, which should alter the kinetics.</p></disp-quote><p>Thanks for the comments. It is important that the inactivation is observed as the dissociation of the donor and acceptor of the sensor. Thus, the fact that the sensor rapidly decreases in response to uncaging means that they have rapid off kinetics. In addition, we provide evidence of a rapid increase of Rab10 in response to NMDA application, suggesting that kinetics is also rapid. We added discussion about this in the revised manuscript as:</p><p>“Understanding the kinetics of Rab4 and Rab10 sensors is essential for interpreting their actual activity during sLTP. The Rab4 sensor exhibits a rapid rise and fall in activation (Fig. 3), indicating ON/OFF times of just a few minutes. In contrast, the Rab10 sensor rapidly dissociates during sLTP induction (Fig. 2), with OFF kinetics occurring within one minute and fast ON kinetics in response to NMDA (Fig. 1j). Given these rapid kinetics, the observed sustained inactivation of Rab10 likely reflects its true behavior rather than sensor dynamics.”</p><disp-quote content-type="editor-comment"><p>There was also further discussion of the nature of the &quot;spine volume&quot; signal, given the fact that the two-photon cross-section of mCherry is minimal at 920nm. It was suggested that this could be due to direct acceptor excitation rather than FRET, but there was agreement that further clarity on this issue would be valuable.</p></disp-quote><p>We assumed that the most of fluorescence is from direct excitation of mCherry at 920 nm. The contribution from the bleed-through from mEGFP-Rab (~3%) and from FRET changes (~20%) may influence the volume measurements. However, since we observed similar fluorescence changes in the green and red channels, these factors would have only a minor impact on our results (Extended Data Fig. 6a, 6d). Also, please note that the volume change in neurons expressing sensors is just to check if the volume change is normal, and not a major point of this manuscript. We clarified this in the method section as:</p><p>“For the sensor experiments, we used mCherry as a volume indicator. We acknowledge that contributions from bleed-through from mEGFP-Rab (approximately 3%) and FRET changes (around 20%) could affect the volume measurements. However, since we observed similar fluorescence changes in both the green and red channels, we believe these factors have a minimal impact on our results (Extended Data Fig. 6a, 6d).”</p><disp-quote content-type="editor-comment"><p>The equations in the methods section differ from other papers by the same lab (e.g. Laviv et al, Neuron 2020, Tu et al. Sci Adv. 2023, Jain et al. Nature 2024). Please clarify which equations are correct.</p></disp-quote><p>Thanks for pointing this out. In fact, some of the equations in this manuscript were wrong, and we have corrected them in the method session.</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #1 (Recommendations for the authors</bold>):</p><p>The effects of Rab knockdown affect both spine volume expansion and AMPAR recovery in a very similar fashion. To explain this tight coupling, the authors suggest that the availability of membrane could be a limiting factor for spine enlargement. However, some Rabs are known to affect actin dynamics, which could also explain the dual effects on AMPAR exocytosis and spine enlargement. It is not easy to come up with an experiment to differentiate between these alternative explanations, as blocking actin polymerization would likely affect exocytosis, too. The authors should consider/discuss the possibility that all of the observed Ras effects result from altered actin dynamics and that the lipid bilayer is sufficiently fluid to form a minimal surface around the expanding cytoskeleton.</p></disp-quote><p>Thanks for the suggestions. We included the discussion about the potential impact on the actin cytoskeleton by Rab10.</p><disp-quote content-type="editor-comment"><p>Typos: heterougenous, compartmantalization, chemaical, ballistically/biolistically (chose one).</p></disp-quote><p>Thanks for pointing out these typos. We have corrected them in the revised manuscript.</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #2 (Recommendations for the authors):</bold></p><p>(1) Venus shows pH sensitivity, which can be significant at synapses due to pH changes. Characterizing the pH sensitivity of the sensors is essential.</p></disp-quote><p>Thanks for the suggestions. We did not measure pH dependence, but the PKa of these fluorophores has already been published. PKa for EGFP and Venus are both 6.0, and it is unlikely that it influenced our measurements.</p><disp-quote content-type="editor-comment"><p>(2) Presenting individual data points within all bar graphs (e.g. Fig. 2c, 2d) would enhance data transparency.</p></disp-quote><p>Thanks for the suggestions. We now provide individual data points in the revised main figures.</p><disp-quote content-type="editor-comment"><p>(3) In Figure 1f: Rab5 GAP expression increased the binding fraction against expectations. In addition, clarifying the color scheme in Figure 1 is needed. Are GAPs supposed to be blue/green, and GEFs red/orange? Figure 1f seems to contradict this color scheme.</p></disp-quote><p>Thanks for the suggestions. We clarified these issues.</p><disp-quote content-type="editor-comment"><p>(4) Quantification of the point spread function of the uncaging laser, response/settle time of the scan mirror during uncaging, and reason for changes in neighboring spines in many example images (e.g. Figure 2a, especially at 240 s; Figure 4a) would be important.</p></disp-quote><p>The laser is controlled by Pockels cells, which changes the laser intensity with microsecond resolution. The laser is parked for milliseconds during uncaging, much longer than the settling time of the mirror (~0.1 milliseconds). The point spread function of the uncaging laser is limited by the diffraction (~0.5 um). The uncaging spot size is mostly limited by the diffusion of uncaged glutamate, but our calcium imaging and CaMKII imaging show that the signaling is induced mostly in the stimulated spines (Lee et al., 2009; Chang et al., 2017, 2019).</p><disp-quote content-type="editor-comment"><p>(5) Please include traces for &quot;false&quot; sensors in stimulated spines in Figures 2b, 2e, 3b, and 3e.</p></disp-quote><p>The traces for the false sensors have been presented in Extended Data Fig. 3 and Extended Data Fig. 8.</p><disp-quote content-type="editor-comment"><p>(6) The traces in Figure 4k (fEPSP slope in response to theta burst stimulation, where there is a decrease in fEPSP slope followed by a gradual increase) differ from prior publications (e.g. PMID: 1359925, 3967730, 19144965, 20016099). An investigation and explanation for these differences are necessary.</p></disp-quote><p>We appreciate the reviewer’s comments. We performed the experiments blindly and did not try to find a condition providing control data similar to previous publications. The variations in fEPSP responses compared to prior publications may be attributed to several factors, including differences in experimental conditions such as the genetic background of the animals used, the specific protocols for theta burst stimulation, and variations in the preparation of the hippocampal slices.</p><disp-quote content-type="editor-comment"><p>(7) The title and text state that Rab10 inactivation promotes AMPAR insertion. It is unclear if this is a direct effect on AMPAR insertion or an indirect effect through membrane remodeling. Providing data to distinguish these possibilities or adjusting the title/text to reflect alternative interpretations would be beneficial.</p></disp-quote><p>We appreciate the reviewer's feedback. To clarify, we have revised our terminology to use &quot;AMPAR trafficking&quot; instead of &quot;AMPAR insertion&quot;, as it includes both insertion and other mechanisms of AMPAR movement within the cell.</p><disp-quote content-type="editor-comment"><p>(8) Please provide an explanation for the initial Rab10 inactivation observed in Figure 1j upon NMDA application.</p></disp-quote><p>The application of NMDA in Fig. 1j is similar to the commonly used chemical LTD induction protocol. We used this broad stimulation approach to test whether our sensors could report Rab activity changes in neurons upon strong stimulation. However, it is an entirely different stimulation approach from the sLTP induction protocol, thus resulting in different sensor activity changes. We describe the phenomenon in the revised manuscript, but we believe that detailed analyses of Rab10 activation in response to NMDA application are beyond the scope of this manuscript.</p><disp-quote content-type="editor-comment"><p>(9) Please explain why the study focuses on Rab4 and Rab10 instead of other Rab proteins.</p></disp-quote><p>During our initial screening of sensors for various Rab proteins, we observed significant activity changes in the sensors for Rab4 and Rab10 upon sLTP induction. This suggested their potential relevance in synaptic processes, leading us to focus on understanding their specific roles in structural long-term potentiation.</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #3 (Recommendations for the authors</bold>):</p><p>(1) Although it might seem trivial, the definition of adjacent spine has not been made in the text. It would be nice to have it in the Methods section.</p></disp-quote><p>We included it in the Methods section as follows:</p><p>&quot;The adjacent spine refers to the first or second spine located next to the stimulated spine, typically positioned opposite the stimulated spine. Additionally, the size of the adjacent spine must be sufficiently large for imaging.&quot;</p><disp-quote content-type="editor-comment"><p>(2) The transfection method has been mentioned as &quot;ballistic&quot; and &quot;biolistic&quot; transfection. You might want to use only one term. Additionally, you can add the equipment used (Bio-rad?) and pressure (psi) in the Methods section.</p></disp-quote><p>We use “biolistic” throughout the manuscript now. We also added the equipment and conditions used.</p></body></sub-article></article>