<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.2 20190208//EN"  "JATS-archivearticle1-mathml3.dtd"><article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2"><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">79648</article-id><article-id pub-id-type="doi">10.7554/eLife.79648</article-id><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>α<sub>1</sub>-Adrenergic receptor–PKC–Pyk2–Src signaling boosts L-type Ca<sup>2+</sup> channel Ca<sub>V</sub>1.2 activity and long-term potentiation in rodents</article-title></title-group><contrib-group><contrib contrib-type="author" id="author-145838"><name><surname>Man</surname><given-names>Kwun Nok Mimi</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-0132-9129</contrib-id><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="con1"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" equal-contrib="yes" id="author-158964"><name><surname>Bartels</surname><given-names>Peter</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-5852-1835</contrib-id><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="equal-contrib1">†</xref><xref ref-type="fn" rid="con2"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" equal-contrib="yes" id="author-280015"><name><surname>Henderson</surname><given-names>Peter B</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="equal-contrib1">†</xref><xref ref-type="other" rid="fund5"/><xref ref-type="fn" rid="con3"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" id="author-280018"><name><surname>Kim</surname><given-names>Karam</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="con4"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" id="author-280017"><name><surname>Shi</surname><given-names>Mei</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" id="author-280016"><name><surname>Zhang</surname><given-names>Mingxu</given-names></name><xref ref-type="aff" rid="aff1">1</xref><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" id="author-318690"><name><surname>Ho</surname><given-names>Sheng-Yang</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="con7"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" id="author-122952"><name><surname>Nieves-Cintron</surname><given-names>Madeline</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0003-1935-8400</contrib-id><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="other" rid="fund6"/><xref ref-type="fn" rid="con8"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" id="author-21748"><name><surname>Navedo</surname><given-names>Manuel F</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-6864-6594</contrib-id><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="other" rid="fund3"/><xref ref-type="other" rid="fund4"/><xref ref-type="fn" rid="con9"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" corresp="yes" id="author-280019"><name><surname>Horne</surname><given-names>Mary C</given-names></name><email>mhorne@ucdavis.edu</email><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con10"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" corresp="yes" id="author-44899"><name><surname>Hell</surname><given-names>Johannes W</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-7960-7531</contrib-id><email>jwhell@ucdavis.edu</email><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="other" rid="fund1"/><xref ref-type="other" rid="fund2"/><xref ref-type="fn" rid="con11"/><xref ref-type="fn" rid="conf1"/></contrib><aff id="aff1"><label>1</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/05rrcem69</institution-id><institution>Department of Pharmacology, University of California</institution></institution-wrap><addr-line><named-content content-type="city">Davis</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/036jqmy94</institution-id><institution>Department of Pharmacology, University of Iowa</institution></institution-wrap><addr-line><named-content content-type="city">Iowa City</named-content></addr-line><country>United States</country></aff></contrib-group><contrib-group content-type="section"><contrib contrib-type="editor"><name><surname>Goda</surname><given-names>Yukiko</given-names></name><role>Reviewing Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02qg15b79</institution-id><institution>Okinawa Institute of Science and Technology</institution></institution-wrap><country>Japan</country></aff></contrib><contrib contrib-type="senior_editor"><name><surname>Swartz</surname><given-names>Kenton J</given-names></name><role>Senior Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/01cwqze88</institution-id><institution>National Institute of Neurological Disorders and Stroke, National Institutes of Health</institution></institution-wrap><country>United States</country></aff></contrib></contrib-group><author-notes><fn fn-type="con" id="equal-contrib1"><label>†</label><p>These authors contributed equally to this work</p></fn></author-notes><pub-date publication-format="electronic" date-type="publication"><day>20</day><month>06</month><year>2023</year></pub-date><pub-date pub-type="collection"><year>2023</year></pub-date><volume>12</volume><elocation-id>e79648</elocation-id><history><date date-type="received" iso-8601-date="2022-04-21"><day>21</day><month>04</month><year>2022</year></date><date date-type="accepted" iso-8601-date="2023-06-19"><day>19</day><month>06</month><year>2023</year></date></history><pub-history><event><event-desc>This manuscript was published as a preprint at .</event-desc><date date-type="preprint" iso-8601-date="2022-07-03"><day>03</day><month>07</month><year>2022</year></date><self-uri content-type="preprint" xlink:href="https://doi.org/10.1101/2022.07.01.498400"/></event></pub-history><permissions><copyright-statement>© 2023, Man et al</copyright-statement><copyright-year>2023</copyright-year><copyright-holder>Man 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-79648-v2.pdf"/><self-uri content-type="figures-pdf" xlink:href="elife-79648-figures-v2.pdf"/><abstract><p>The cellular mechanisms mediating norepinephrine (NE) functions in brain to result in behaviors are unknown. We identified the L-type Ca<sup>2+</sup> channel (LTCC) Ca<sub>V</sub>1.2 as a principal target for G<sub>q</sub>-coupled α<sub>1</sub>-adrenergic receptors (ARs). α<sub>1</sub>AR signaling increased LTCC activity in hippocampal neurons. This regulation required protein kinase C (PKC)-mediated activation of the tyrosine kinases Pyk2 and, downstream, Src. Pyk2 and Src were associated with Ca<sub>V</sub>1.2. In model neuroendocrine PC12 cells, stimulation of PKC induced tyrosine phosphorylation of Ca<sub>V</sub>1.2, a modification abrogated by inhibition of Pyk2 and Src. Upregulation of LTCC activity by α<sub>1</sub>AR and formation of a signaling complex with PKC, Pyk2, and Src suggests that Ca<sub>V</sub>1.2 is a central conduit for signaling by NE. Indeed, a form of hippocampal long-term potentiation (LTP) in young mice requires both the LTCC and α<sub>1</sub>AR stimulation. Inhibition of Pyk2 and Src blocked this LTP, indicating that enhancement of Ca<sub>V</sub>1.2 activity via α<sub>1</sub>AR–Pyk2–Src signaling regulates synaptic strength.</p></abstract><kwd-group kwd-group-type="author-keywords"><kwd>L-type calcium channels</kwd><kwd>α1-adrenergic receptor</kwd><kwd>protein kinase C</kwd><kwd>tyrosine phosphorylation</kwd><kwd>long-term potentiation</kwd></kwd-group><kwd-group kwd-group-type="research-organism"><title>Research organism</title><kwd>Mouse</kwd></kwd-group><funding-group><award-group id="fund1"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>R01 MH097887</award-id><principal-award-recipient><name><surname>Hell</surname><given-names>Johannes W</given-names></name></principal-award-recipient></award-group><award-group id="fund2"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>RF1 AG055357</award-id><principal-award-recipient><name><surname>Hell</surname><given-names>Johannes W</given-names></name></principal-award-recipient></award-group><award-group id="fund3"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>R01 HL098200</award-id><principal-award-recipient><name><surname>Navedo</surname><given-names>Manuel F</given-names></name></principal-award-recipient></award-group><award-group id="fund4"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>R01 HL121059</award-id><principal-award-recipient><name><surname>Navedo</surname><given-names>Manuel F</given-names></name></principal-award-recipient></award-group><award-group id="fund5"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>T32 GM099608</award-id><principal-award-recipient><name><surname>Henderson</surname><given-names>Peter B</given-names></name></principal-award-recipient></award-group><award-group id="fund6"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>R01 NS123050</award-id><principal-award-recipient><name><surname>Nieves-Cintron</surname><given-names>Madeline</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>The α<sub>1</sub>-adrenergic receptor augments the activity of the L-type Ca<sup>2+</sup> channel Ca<sub>V</sub>1.2 through PKC and the tyrosine kinases Pyk2 and Src and thereby synaptic plasticity.</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Norepinephrine (NE) causes arousal and augments behavioral acuity and learning (<xref ref-type="bibr" rid="bib10">Berman and Dudai, 2001</xref>; <xref ref-type="bibr" rid="bib18">Cahill et al., 1994</xref>; <xref ref-type="bibr" rid="bib19">Carter et al., 2010</xref>; <xref ref-type="bibr" rid="bib67">Hu et al., 2007</xref>; <xref ref-type="bibr" rid="bib93">Minzenberg et al., 2008</xref>). NE signals via the G<sub>q</sub>-coupled α<sub>1</sub>-adrenergic receptor (AR), G<sub>i</sub>-coupled α<sub>2</sub>AR, and G<sub>s</sub>-coupled β<sub>1</sub>, β<sub>2</sub>, and β<sub>3</sub> ARs. βARs act through adenylyl cyclase (AC), cAMP, and PKA (<xref ref-type="bibr" rid="bib115">Sanderson and Dell’Acqua, 2011</xref>). The β<sub>2</sub>AR, G<sub>s</sub>, AC, and PKA are all associated with the L-type Ca<sup>2+</sup> channel (LTCC) Ca<sub>V</sub>1.2 for efficient signaling in neurons (<xref ref-type="bibr" rid="bib31">Davare et al., 2001</xref>; <xref ref-type="bibr" rid="bib37">Dittmer et al., 2014</xref>; <xref ref-type="bibr" rid="bib97">Murphy et al., 2014</xref>; <xref ref-type="bibr" rid="bib102">Oliveria et al., 2007</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>) and heart (<xref ref-type="bibr" rid="bib2">Balijepalli et al., 2006</xref>). The formation of this signaling complex identifies Ca<sub>V</sub>1.2 as a major effector of signaling by NE. We now find that Ca<sub>V</sub>1.2 is also a major effector for signaling via the α<sub>1</sub>AR, which has a higher affinity for NE than βARs (<xref ref-type="bibr" rid="bib50">Giustino and Maren, 2018</xref>; <xref ref-type="bibr" rid="bib109">Ramos and Arnsten, 2007</xref>). Importantly, a large body of evidence implicates the α<sub>1</sub>AR in NE’s role in attention and vigilance (<xref ref-type="bibr" rid="bib3">Bari and Robbins, 2013</xref>; <xref ref-type="bibr" rid="bib11">Berridge et al., 2012</xref>; <xref ref-type="bibr" rid="bib54">Hahn and Stolerman, 2005</xref>; <xref ref-type="bibr" rid="bib69">Hvoslef-Eide et al., 2015</xref>; <xref ref-type="bibr" rid="bib84">Liu et al., 2009</xref>; <xref ref-type="bibr" rid="bib106">Puumala et al., 1997</xref>; <xref ref-type="bibr" rid="bib111">Robbins, 2002</xref>).</p><p>Ca<sub>V</sub>1.2 fulfills a remarkably broad spectrum of functions. Dysfunctions due to mutations in Ca<sub>V</sub>1.2 span from impaired cardiac contractility to the autistic-like behaviors seen in Timothy syndrome (<xref ref-type="bibr" rid="bib124">Splawski et al., 2004</xref>). Furthermore, Ca<sub>V</sub>1.2 has been linked to filopodia formation in invasive cancer cells (<xref ref-type="bibr" rid="bib70">Jacquemet et al., 2016</xref>). Ca<sub>V</sub>1.2 is by far the most abundant LTCC in heart and accounts for ~80% of all LTCCs in brain (<xref ref-type="bibr" rid="bib60">Hell et al., 1993a</xref>; <xref ref-type="bibr" rid="bib119">Sinnegger-Brauns et al., 2004</xref>). It governs the heartbeat, vascular tone, and neuronal functions including long-term potentiation (LTP) (<xref ref-type="bibr" rid="bib49">Ghosh et al., 2017</xref>; <xref ref-type="bibr" rid="bib52">Grover and Teyler, 1990</xref>; <xref ref-type="bibr" rid="bib96">Moosmang et al., 2005</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>), long-term depression (<xref ref-type="bibr" rid="bib15">Bolshakov and Siegelbaum, 1994</xref>), neuronal excitability (<xref ref-type="bibr" rid="bib9">Berkefeld et al., 2006</xref>; <xref ref-type="bibr" rid="bib89">Marrion and Tavalin, 1998</xref>), and gene expression (<xref ref-type="bibr" rid="bib39">Dolmetsch et al., 2001</xref>; <xref ref-type="bibr" rid="bib83">Li et al., 2016</xref>; <xref ref-type="bibr" rid="bib82">Li et al., 2012</xref>; <xref ref-type="bibr" rid="bib86">Ma et al., 2014</xref>; <xref ref-type="bibr" rid="bib90">Marshall et al., 2011</xref>; <xref ref-type="bibr" rid="bib97">Murphy et al., 2014</xref>; <xref ref-type="bibr" rid="bib136">Wheeler et al., 2012</xref>). Studies on Ca<sub>V</sub>1.2 mutant mice suggest that this channel plays a central role in anxiety disorders, depression, and self-injurious behavior (<xref ref-type="bibr" rid="bib119">Sinnegger-Brauns et al., 2004</xref>). Congruently, LTCC blockers elicit antidepressant effects while agonists induce depression-like behavior (<xref ref-type="bibr" rid="bib94">Mogilnicka et al., 1987</xref>; <xref ref-type="bibr" rid="bib95">Mogilnicka et al., 1988</xref>) and self-biting in mice, a symptom associated with autism (<xref ref-type="bibr" rid="bib71">Jinnah et al., 1999</xref>).</p><p>Ca<sub>V</sub>1.2 consists of the pore-forming subunit α<sub>1</sub>1.2, a β subunit and the α<sub>2</sub>δ subunit (<xref ref-type="bibr" rid="bib20">Catterall, 2000</xref>; <xref ref-type="bibr" rid="bib28">Dai et al., 2009</xref>; <xref ref-type="bibr" rid="bib143">Zamponi et al., 2015</xref>). The β and α<sub>2</sub>δ subunits facilitate release of α<sub>1</sub>1.2 subunits from the endoplasmic reticulum, inhibit ubiquitin-mediated degradation of voltage-gated calcium channels, influence electrophysiological properties of Ca<sup>2+</sup> channels, such as activation and inactivation, and play diverse roles in the regulation of these channels (<xref ref-type="bibr" rid="bib20">Catterall, 2000</xref>; <xref ref-type="bibr" rid="bib28">Dai et al., 2009</xref>; <xref ref-type="bibr" rid="bib143">Zamponi et al., 2015</xref>).</p><p>In the cardiovascular system, the α<sub>1</sub>AR, the endothelin receptor ET1, and the angiotensin receptor AT<sub>1</sub> are important regulators of LTCC currents via G<sub>q</sub> signaling (<xref ref-type="bibr" rid="bib20">Catterall, 2000</xref>; <xref ref-type="bibr" rid="bib73">Kamp and Hell, 2000</xref>; <xref ref-type="bibr" rid="bib132">Voelker et al., 2023</xref>). G<sub>q</sub> stimulates phospholipase C-β to induce production of diacylglycerol (DAG) and inositol-1,4,5-trisphosphate (IP<sub>3</sub>), which triggers Ca<sup>2+</sup> release from intracellular stores. DAG and Ca<sup>2+</sup> act in concert with phosphatidyl-serine to activate different PKC isoforms. Stimulation of PKC mostly leads to an increase in Ca<sub>V</sub>1.2 activity (<xref ref-type="bibr" rid="bib13">Bkaily et al., 1995</xref>; <xref ref-type="bibr" rid="bib28">Dai et al., 2009</xref>; <xref ref-type="bibr" rid="bib40">Döşemeci et al., 1988</xref>; <xref ref-type="bibr" rid="bib59">He et al., 2000</xref>; <xref ref-type="bibr" rid="bib73">Kamp and Hell, 2000</xref>; <xref ref-type="bibr" rid="bib75">Lacerda et al., 1988</xref>; <xref ref-type="bibr" rid="bib99">Navedo et al., 2005</xref>). However, an inhibitory effect of PKC on Ca<sub>V</sub>1.2 currents has been reported in cardiomyocytes (<xref ref-type="bibr" rid="bib23">Cheng et al., 1995</xref>; <xref ref-type="bibr" rid="bib132">Voelker et al., 2023</xref>). This inhibition is mediated by phosphorylation of residues T27 and T31 by PKC in an isoform of α<sub>1</sub>1.2 that is expressed in heart (<xref ref-type="bibr" rid="bib91">McHugh et al., 2000</xref>). T27/T31 are not present in the most prevalent brain isoform due to alternative splicing (<xref ref-type="bibr" rid="bib122">Snutch et al., 1991</xref>); thus, the inhibitory effect of PKC on LTCC currents is typically absent in neurons and neural crest-derived PC12 cells, or in vascular smooth muscle (<xref ref-type="bibr" rid="bib99">Navedo et al., 2005</xref>; <xref ref-type="bibr" rid="bib126">Taylor et al., 2000</xref>). Here, we show that stimulation of the α<sub>1</sub>AR and of PKC consistently augments LTCC in hippocampal neurons.</p><p>Despite the prominent role of PKC in augmentation of Ca<sub>V</sub>1.2 activity, how PKC mediates this effect has been unknown. PKC activates the nonreceptor tyrosine kinase Pyk2, a signaling process first shown in PC12 cells (<xref ref-type="bibr" rid="bib34">Dikic et al., 1996</xref>; <xref ref-type="bibr" rid="bib80">Lev et al., 1995</xref>) and later primary neurons (<xref ref-type="bibr" rid="bib5">Bartos et al., 2010</xref>; <xref ref-type="bibr" rid="bib68">Huang et al., 2001</xref>), and cardiomyocytes (<xref ref-type="bibr" rid="bib114">Sabri et al., 1998</xref>). Activation of PKC triggers autophosphorylation of residue Y402 on Pyk2 to create a binding site for the SH2 domain of Src, which upon binding to Pyk2 becomes activated (<xref ref-type="bibr" rid="bib34">Dikic et al., 1996</xref>). Src increases LTCC activity in smooth muscle cells (<xref ref-type="bibr" rid="bib53">Gui et al., 2006</xref>; <xref ref-type="bibr" rid="bib66">Hu et al., 1998</xref>; <xref ref-type="bibr" rid="bib139">Wu et al., 2001</xref>), retinal pigment epithelium (<xref ref-type="bibr" rid="bib125">Strauss et al., 1997</xref>), and neurons (<xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib42">Endoh, 2005</xref>; <xref ref-type="bibr" rid="bib53">Gui et al., 2006</xref>). Furthermore, PKC (<xref ref-type="bibr" rid="bib100">Navedo et al., 2008</xref>; <xref ref-type="bibr" rid="bib141">Yang et al., 2005</xref>) and Src (<xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib22">Chao et al., 2011</xref>; <xref ref-type="bibr" rid="bib66">Hu et al., 1998</xref>) are physically and functionally associated with Ca<sub>V</sub>1.2. These findings underscore the physiological relevance of Src in regulating Ca<sub>V</sub>1.2. Importantly, the pathway by which Src is activated in the context of Ca<sub>V</sub>1.2 regulation has not been determined.</p><p>Once we established that stimulation of PKC or the G<sub>q</sub>/PKC-coupled α<sub>1</sub>AR strongly augments LTCC activity in neurons, we tested whether Pyk2 mediates this upregulation of channel activity. We link the α<sub>1</sub>AR–PKC signaling to Src, which thus emerges as an important mediator of tyrosine phosphorylation on Ca<sub>V</sub>1.2 downstream of G<sub>q</sub>-coupled receptors. In neurons, the nearly twofold increase in LTCC currents upon stimulation of PKC with phorbol-12-myristate-13-acetate (PMA) or via the α<sub>1</sub>AR was blocked by inhibitors of Pyk2 and Src, consistent with earlier data showing that Src elevates Ca<sub>V</sub>1.2 activity to a comparable degree (<xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib53">Gui et al., 2006</xref>). Furthermore, we found that Pyk2 co-immunoprecipitated with Ca<sub>V</sub>1.2 in parallel to Src. We identified the loop between domains two and three of α<sub>1</sub>1.2 as the Pyk2-binding site. Stimulation of PKC either directly with PMA or through the G<sub>q</sub>-coupled bradykinin (BK) receptor leads to tyrosine phosphorylation of α<sub>1</sub>1.2 in PC12 cells. Abrogation of Pyk2 or Src activity ablated the phosphorylation. Finally, we discovered that the LTP in young mice mediated by LTCC-dependent Ca<sup>2+</sup> influx during 200 Hz tetani (termed LTP<sub>LTCC</sub>) that is not NMDAR dependent, required α<sub>1</sub>AR stimulation and both Pyk2 and Src activity. These findings implicate upregulation of Ca<sub>V</sub>1.2 activity by α<sub>1</sub>AR–Pyk2–Src signaling as a critical process for control of synaptic strength. Our findings indicate that Ca<sub>V</sub>1.2 forms a supramolecular signaling complex (signalosome) with PKC, Pyk2, and Src and that α<sub>1</sub>AR–PKC–Src–Ca<sub>V</sub>1.2 signaling constitutes a central regulatory mechanism of neuronal activity and synaptic plasticity by NE.</p></sec><sec id="s2" sec-type="results"><title>Results</title><sec id="s2-1"><title>α<sub>1</sub>AR signaling augments LTCC activity in hippocampal neurons via PKC, Pyk2, and Src</title><p>We performed cell-attached recordings from cultured hippocampal neurons for single-channel analysis, which allows pharmacological isolation of LTCCs by application of ω-conotoxins GVIA and MVIIC (<xref ref-type="bibr" rid="bib57">Hall et al., 2013</xref>; <xref ref-type="bibr" rid="bib102">Oliveria et al., 2007</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>). LTCC channel activity was measured by cell-attached recordings, which yielded the product of the number of channels (N) and the open probability (Po) of each single channel. Application of phenylephrine (PHE), a selective agonist for all three α<sub>1</sub>ARs, augmented N × Po of LTCCs from 0.18 ± 0.0433 (H<sub>2</sub>O vehicle Control, <italic>n</italic> = 11) to 0.6156 ± 0.1386 (PHE; <italic>n</italic> = 13, p ≤ 0.01; <xref ref-type="fig" rid="fig1">Figure 1A–C</xref>). This increase was blocked by the selective α<sub>1</sub>AR antagonist prazosin (0.2954 ± 0.0607; <italic>n</italic> = 10, p ≤ 0.05), indicating that PHE acted through α<sub>1</sub>ARs and not other G-protein-coupled receptors. Prazosin by itself had no effect, vs. vehicle control (0.1846 ± 0.04624; <italic>n</italic> = 10) suggesting that there is little if any regulation of LTCCs under basal conditions in neurons by α<sub>1</sub>ARs. PHE also increased the peak current of the ensemble average current in a prazosin-sensitive manner (<xref ref-type="fig" rid="fig1">Figure 1D, E</xref>).</p><fig id="fig1" position="float"><label>Figure 1.</label><caption><title>The α<sub>1</sub>AR agonist phenylephrine (PHE) augments NPo of L-type Ca<sup>2+</sup> channels (LTCCs) in hippocampal neurons.</title><p>(<bold>A</bold>) Neurons were preincubated with vehicle, PHE and prazosin (PRAZ) before seal formation. (<bold>B</bold>) Ten consecutive traces from representative cell-attached single-channel recordings of LTCCs from cultured hippocampal neurons with vehicle (water; black), 10 µM PHE (red), PHE plus 20 nM prazosin (bright green), and prazosin alone (dark green). (<bold>C</bold>) The increase in NPo by PHE was blocked by prazosin. <italic>F</italic><sub>3,40</sub> = 5.474. Control vs. PHE, p = 0.0036; PHE vs. Prazosin + PHE, p = 0.0334; Control vs. Prazosin only, p = 0.9723. (<bold>D</bold>) Ensemble averages during depolarization. (<bold>E</bold>) The increase in ensemble average peak currents by PHE was blocked by prazosin. <italic>F</italic><sub>3,40</sub> = 4.506. Control vs. PHE, p = 0.0101; PHE vs. Prazosin + PHE, p = 0.0316; Control vs. Prazosin only, p = 0.9722. (<bold>C, E</bold>) Data are presented as means ± standard error of the mean (SEM). <italic>n</italic> represents the number of cells (*p ≤ 0.05, **p ≤ 0.01; analysis of variance [ANOVA] with post hoc Holm–Sidak’s multiple comparisons test). Panel A was created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com">Biorender.com</ext-link>.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig1-v2.tif"/></fig><p>Because direct phosphorylation of α<sub>1</sub>1.2 by PKC inhibits Ca<sub>V</sub>1.2 activity in heart (<xref ref-type="bibr" rid="bib91">McHugh et al., 2000</xref>), we explored whether PKC might upregulate Ca<sub>V</sub>1.2 activity indirectly via other kinases. PKC can activate Pyk2 (<xref ref-type="bibr" rid="bib5">Bartos et al., 2010</xref>; <xref ref-type="bibr" rid="bib34">Dikic et al., 1996</xref>; <xref ref-type="bibr" rid="bib68">Huang et al., 2001</xref>; <xref ref-type="bibr" rid="bib80">Lev et al., 1995</xref>) and thereby Src (<xref ref-type="bibr" rid="bib34">Dikic et al., 1996</xref>; <xref ref-type="bibr" rid="bib68">Huang et al., 2001</xref>). Src, in turn, augments LTCC activity (<xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib42">Endoh, 2005</xref>; <xref ref-type="bibr" rid="bib53">Gui et al., 2006</xref>; <xref ref-type="bibr" rid="bib66">Hu et al., 1998</xref>; <xref ref-type="bibr" rid="bib125">Strauss et al., 1997</xref>; <xref ref-type="bibr" rid="bib139">Wu et al., 2001</xref>). Therefore, we tested whether block of Pyk2 and Src affects upregulation of LTCC activity by PHE. In a new set of recordings augmentation of LTCC activity by PHE from NPo of 0.2008 ± 0.03348 (dimethyl sulfoxide (DMSO) vehicle control, <italic>n</italic> = 33) to 0.3272 ± 0.04412 (PHE, <italic>n</italic> = 33; p ≤ 0.01; <xref ref-type="fig" rid="fig2">Figure 2A–C</xref>) was completely blocked by two different PKC inhibitors, bisindolylmaleimide I (GF109203X; Bis I; 0.1412 ± 0.03305; <italic>n</italic> = 11, p ≤ 0.01) and chelerythrine (Chel; 0.05801 ± 0.01508; <italic>n</italic> = 12, p ≤ 0.001), the Pyk2-selective inhibitor PF-719 (0.09118 ± 0.02828; <italic>n</italic> = 10, p ≤ 0.01) and two structurally different Src family kinase inhibitors, PP2 (0.01487 ± 0.006808; <italic>n</italic> = 7, p ≤ 0.001) and SU6656 (0.09149 ± 0.02866; <italic>n</italic> = 9, p ≤ 0.01). Peak currents of ensemble averages showed respective changes (<xref ref-type="fig" rid="fig2">Figure 2D, E</xref>). Accordingly, α<sub>1</sub>AR signaling increases LTCC activity via a PKC–Pyk2–Src signaling cascade. Notably, stimulation of two other major G<sub>q</sub>-protein-coupled receptors in neurons, that is, the metabotropic mGluR1/5 receptors with dihydroxyphenylglycine (DHPG) and muscarinic receptors with muscarine, did not significantly increase LTCC activity, although there was a tendency for DHPG to do so (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1</xref>).</p><fig-group><fig id="fig2" position="float"><label>Figure 2.</label><caption><title>The phenylephrine (PHE)-induced increase in NPo of L-type Ca<sup>2+</sup> channels (LTCCs) in hippocampal neurons requires PKC, Pyk2, and Src.</title><p>(<bold>A</bold>) Neurons were preincubated with vehicle, PHE, and the indicated kinase inhibitors before seal formation. (<bold>B</bold>) Ten consecutive traces from representative cell-attached single-channel recordings of LTCCs with vehicle (0.1% DMSO; black) and PHE either alone (red) or with the PKC inhibitors chelerythrine (Chel; 10 µM; bright brown) and bisindolylmaleimide I (Bis I; 100 nM; dark brown), the Pyk2 inhibitor PF-719 (1 µM; green), or the Src inhibitors PP2 (10 µM; blue) and SU6656 (10 µM; purple). (<bold>C</bold>) The increase in NPo by PHE was blocked by all inhibitors. <italic>F</italic><sub>6,108</sub> = 6.434. Control vs. PHE, p = 0.0076; PHE vs. Chel + PHE, p = 0.0001; PHE vs. Bis I + PHE, p = 0.0076; PHE vs. PF-719 + PHE, p = 0.0018; PHE vs. PP2 + PHE, p = 0.0003; PHE vs. SU6656 + PHE, p = 0.0022. (<bold>D</bold>) Ensemble averages during depolarization. (<bold>E</bold>) The increase in ensemble average peak currents by PHE was blocked by PKC inhibitors chelerythrine, bisinolylmaleimide I, and Src inhibitor PP2. <italic>F</italic><sub>6,108</sub> = 4.839. Control vs. PHE, p = 0.0242; PHE vs. Chel + PHE, p = 0.0004; PHE vs. Bis I + PHE, p = 0.0242; PHE vs. PF-719 + PHE, p = 0.0723; PHE vs. PP2 + PHE, p = 0.0006; PHE vs. SU6656 + PHE, p = 0.0723. (<bold>C, E</bold>) Data are presented as means ± standard error of the mean (SEM). <italic>n</italic> represents the number of cells (*p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001; analysis of variance [ANOVA] with post hoc Holm–Sidak’s multiple comparisons test). Panel A was created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com">Biorender.com</ext-link>.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig2-v2.tif"/></fig><fig id="fig2s1" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 1.</label><caption><title>Group I mGluR and muscarinic receptor agonists did not change NPo of L-type Ca<sup>2+</sup> channels (LTCCs) in hippocampal neurons.</title><p>(<bold>A</bold>) Ten consecutive traces from representative cell-attached single-channel recordings of LTCCs from cultured hippocampal neurons with vehicle (H<sub>2</sub>O; black), 100 µM dihydroxyphenylglycine (DHPG, pink), and 10 µM muscarine (cyan). (<bold>B</bold>) DHPG and muscarine did not alter NPo. <italic>F</italic><sub>2,35</sub> = 0.6559. Control vs. DHPG, p = 0.648; Control vs. Muscarine, p = 0.6843. (<bold>C</bold>) Ensemble averages during depolarization. (<bold>D</bold>) DHPG and muscarine did not alter the amplitudes of the peak ensemble average current. <italic>F</italic><sub>2,35</sub> = 0.007689. Control vs. DHPG, p = 0.9904; Control vs. Muscarine, p = 0.9904. (<bold>B, D</bold>) Data are presented as means ± standard error of the mean (SEM). <italic>n</italic> represent the number of cells (n.s., not significant; analysis of variance [ANOVA] with post hoc Holm–Sidak’s multiple comparisons test).</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig2-figsupp1-v2.tif"/></fig></fig-group></sec><sec id="s2-2"><title>PKC augments LTCC activity in hippocampal neurons via Pyk2 and Src</title><p>To further establish a role of Pyk2 and Src, we directly stimulated PKC by including PMA in the bath solution during single-channel recording of LTCCs in hippocampal neurons. PMA increased NPo of LTCCs by around twofold from 0.1099 ± 0.0173 (DMSO control, <italic>n</italic> = 45) to 0.232 ± 0.03269 (PMA, <italic>n</italic> = 38; p ≤ 0.001, <xref ref-type="fig" rid="fig3">Figure 3A–C</xref>). This increase was blocked by Pyk2 inhibitors PF-719 (NPo = 0.1407 ± 0.02705, <italic>n</italic> = 13, p ≤ 0.05) and PF-431396 (NPo = 0.09282 ± 0.01765, <italic>n</italic> = 18, p ≤ 0.001) and by Src inhibitors PP2 (NPo = 0.05614 ± 0.01815, <italic>n</italic> = 14, p ≤ 0.001) and SU6656 (NPo = 0.02951 ± 0.00555, <italic>n</italic> = 8, p ≤ 0.001). Peak currents of ensemble averages showed respective changes (<xref ref-type="fig" rid="fig3">Figure 3D, E</xref>). The L-type calcium channel blocker isradipine completely blocked L-type currents in the presence of PMA, indicating successful isolation of L-type single-channel currents (<xref ref-type="fig" rid="fig3s1">Figure 3—figure supplement 1</xref>). These results show that in hippocampal neurons, PKC activation stimulates LTCC activity and this augmentation requires Pyk2 and Src activity.</p><fig-group><fig id="fig3" position="float"><label>Figure 3.</label><caption><title>The increase in NPo of L-type Ca<sup>2+</sup> channels (LTCCs) in hippocampal neurons by PKC requires Pyk2 and Src.</title><p>(<bold>A</bold>) Neurons were preincubated with vehicle, the phorbol ester phorbol-12-myristate-13-acetate (PMA), and the indicated kinase inhibitors before seal formation. (<bold>B</bold>) Ten consecutive traces from representative cell-attached single-channel recordings of LTCCs with vehicle (0.06% DMSO; black) and 2 µM PMA either alone (red) or with the Pyk2 inhibitors PF-719 (1 µM; green) and PF-431396 (3 µM; orange), or the Src inhibitors PP2 (10 µM; blue) and SU6656 (10 µM; purple). (<bold>C</bold>) The increase in NPo by PMA was blocked by all inhibitors. <italic>F</italic><sub>5,130</sub> = 6.530. DMSO vs. PMA, p = 0.0003; PMA vs. PF-719 + PMA, p = 0.0372, PMA vs. PF-431396 + PMA, p = 0.0009; PMA vs. PP2 + PMA, p = 0.0003; PMA vs. SU6656 + PMA, p = 0.0005. (<bold>D</bold>) Ensemble averages during depolarization. (<bold>E</bold>) The increase in ensemble average peak currents by PMA was blocked by all inhibitors. <italic>F</italic><sub>5,130</sub> = 5.665. DMSO vs. PMA, p = 0.0003; PMA vs. PF-719 + PMA, p = 0.0303, PMA vs. PF-431396 + PMA, p = 0.0051; PMA vs. PP2 + PMA, p = 0.0003; PMA vs. SU6656 + PMA, p = 0.0051. (<bold>C, E</bold>) Data are presented as means ± standard error of the mean (SEM). <italic>n</italic> represents the number of cells (*p ≤ 0.05, **p <italic>≤</italic> 0.01, ***p ≤ 0.001; analysis of variance [ANOVA] with post hoc Holm–Sidak’s multiple comparisons test). Panel A was created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com">Biorender.com</ext-link>.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig3-v2.tif"/></fig><fig id="fig3s1" position="float" specific-use="child-fig"><label>Figure 3—figure supplement 1.</label><caption><title>L-type channel blocker isradipine completely blocks L-type single-channel currents in the presence of phorbol-12-myristate-13-acetate (PMA).</title><p>PMA (2 μM) in the bath solution potentiated the open probability of L-type channels during single-channel recording. Isradipine (10 μM) in the pipette solution completely blocked L-type currents in PMA-containing bath solution. Data are presented as as means ± standard error of the mean (SEM). <italic>n</italic> represents the number of cells (*p ≤ 0.05; analysis of variance [ANOVA] with post hoc Holm–Sidak’s multiple comparisons test). <italic>F</italic><sub>2,26</sub> = 6.004. DMSO vs. PMA, p = 0.0139; PMA vs. Isradipine + PMA, p = 0.0129.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig3-figsupp1-v2.tif"/></fig></fig-group></sec><sec id="s2-3"><title>α<sub>1</sub>AR signaling augments single-channel open probability Po of LTCCs in neurons</title><p>Preincubation of neurons with PHE could promote either surface insertion or Po of LTCCs. To test whether PHE augmented specifically Po, we used pipettes with smaller diameters to minimize patch size and channel number in the patch, as reflected by pipette resistences of 7–12 vs. 3.5–5.5 MΩ in the preceding experiments. This approach typically resulted in &lt;4 channels per patch, allowing exact determination of channel number and thereby calculation of single-channel Po. PHE was acutely washed on after establishing baseline activity to avoid delays as occurring when recording the effect of preincubation of neurons with PHE during which new channels could have been inserted (<xref ref-type="fig" rid="fig4">Figure 4A</xref>). PHE consistently increased within 2–3 min Po and peak currents as determined by ensemble averages (<xref ref-type="fig" rid="fig4">Figure 4B–D</xref>).</p><fig id="fig4" position="float"><label>Figure 4.</label><caption><title>α<sub>1</sub>AR signaling augments Po of L-type Ca<sup>2+</sup> channels (LTCCs) in hippocampal neurons.</title><p>(<bold>A, E</bold>) Seals were formed by the recording pipettes before application of phenylephrine (PHE) or norepinephrine (NE) and ultimately of either isradipine or nimodipine to ensure channel activity was mediated by LTCCs. (<bold>B</bold>) Sample diary shows time course of Po before and after application of 10 µM PHE and then 10 µM isradipine. The number of channels under the patch was estimated based on the maximal number of observed stagged openings in each patch (<italic>k</italic>; upper left). (<bold>C</bold>) Ten consecutive traces from representative cell-attached single-channel LTTC recordings before and after application of PHE and then isradipine. Bottom panels show ensemble averages. (<bold>D</bold>) PHE increases Po (left) and peak currents of ensemble averages (<italic>n</italic> = 12 cells; right). (<bold>F</bold>) Sample diary shows time course of Po before and after application of 10 µM NE and then 10 µM isradipine. (<bold>G</bold>) Ten consecutive traces from representative cell-attached single-channel recordings of LTCCs before and after application of NE and then nimodipine. Bottom panels show ensemble averages. (<bold>H</bold>) NE increases Po (left) and peak currents of ensemble averages (<italic>n</italic> = 8 cells; right). (<bold>D, H</bold>) Data are presented as means ± standard error of the mean (SEM). Statistical significance was tested by a paired, two-tailed Student’s <italic>t</italic>-test, *p ≤ 0.05. Panels A and E were created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com">Biorender.com</ext-link>.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig4-v2.tif"/></fig><p>Application of the endogenous agonist NE to the outside of the cell-attached pipette was equally able to augment single-channel Po and peak currents of ensemble averages (<xref ref-type="fig" rid="fig4">Figure 4E–G</xref>). Of note, the β<sub>2</sub>AR-selective adrenergic agonist albuterol can also augment Po of Ca<sub>V</sub>1.2 by stimulating the Ca<sub>V</sub>1.2-associated β<sub>2</sub>AR, adenylyl cyclase and PKA (<xref ref-type="bibr" rid="bib31">Davare et al., 2001</xref>; <xref ref-type="bibr" rid="bib37">Dittmer et al., 2014</xref>; <xref ref-type="bibr" rid="bib97">Murphy et al., 2014</xref>; <xref ref-type="bibr" rid="bib102">Oliveria et al., 2007</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>). However, it does so only when applied inside the patch pipette and not when applied after seal formation to the outside, reflective of highly localized, spatially restricted signaling events (<xref ref-type="bibr" rid="bib31">Davare et al., 2001</xref>; <xref ref-type="bibr" rid="bib37">Dittmer et al., 2014</xref>; <xref ref-type="bibr" rid="bib97">Murphy et al., 2014</xref>; <xref ref-type="bibr" rid="bib102">Oliveria et al., 2007</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>). Accordingly, NE applied to the outside of the pipette augments Po not via β<sub>2</sub>AR but rather via α<sub>1</sub>AR signaling. Consistently, the increases in single-channel Po and peak currents of ensemble averages seen with NE were remarkably similar to the respective PHE effects.</p><p>To further test the role of α<sub>1</sub>AR vs. β<sub>2</sub>AR signaling in this recording configuration, we applied NE either alone or together with the α<sub>1</sub>AR antagonist prazosin to the neurons before seal formation and recording of channel activity (<xref ref-type="fig" rid="fig5">Figure 5A</xref>). NE increased Po and peak current of ensemble averages more strongly in this approach than when applied only to the outside of the pipettes (<xref ref-type="fig" rid="fig5">Figure 5B–D</xref>). This effect was inhibited but not fully blocked when prazosin was co-applied with NE. These two effects are consistent with upregulation of Ca<sub>V</sub>1.2 activity by NE via both α<sub>1</sub>AR and β<sub>2</sub>AR signaling.</p><fig id="fig5" position="float"><label>Figure 5.</label><caption><title>Norepinephrine (NE) can augment Po of L-type Ca<sup>2+</sup> channels (LTCCs) via α<sub>1</sub>AR signaling in hippocampal neurons.</title><p>(<bold>A</bold>) Neurons were preincubated with NE ± prazosin (PRAZ) before seal formation. (<bold>B, C</bold>) Sample diaries show time courses of Po recordings obtained after preincubation with either NE alone or NE + PRAZ and seal formation. The number of channels under the patch was estimated based on the maximal number of observed stagged openings in each patch (<italic>k</italic>; upper left). (<bold>D</bold>) Ten consecutive traces from representative cell-attached single-channel recordings of LTCCs under control conditions or upon pre-incubation with either NE alone or NE plus PRAZ. Bottom panels show ensemble averages. (<bold>E</bold>) NE strongly increases Po (left) and peak currents of ensemble averages (right), which was strongly but not fully inhibited by PRAZ. Data are presented as means ± standard error of the mean (SEM; Control, <italic>n</italic> = 8 cells; NE, <italic>n</italic> = 12 cells; NE/PRAZ, <italic>n</italic> = 11 cells). Statistical significance was tested by a one-way analysis of variance (ANOVA) with Bonferroni correction, *p ≤ 0.05. Panel A was created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com">Biorender.com</ext-link>.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig5-v2.tif"/></fig></sec><sec id="s2-4"><title>BK augments Po of LTCCs in neurons</title><p>The above results indicate that signaling by the G<sub>q</sub>-coupled α<sub>1</sub>AR promotes LTCC activity in a manner that is spatially much less localized if at all as opposed to signaling by the G<sub>s</sub>-coupled β<sub>2</sub>AR. Stimulation of other prominent G<sub>q</sub>-coupled receptors, mGluR and muscarinic receptors, yielded little or no effects, respectively, on LTCC activity (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1</xref>), possibly because those might be to far removed from the LTCCs in soma where the recordings were performed. Another G<sub>q</sub>-coupled receptor that is prominent in the hippocampus is the BK receptor 2 (BK2). Application of BK to the outside of the patch pipette after establishing baseline activity of LTCCs (<xref ref-type="fig" rid="fig6">Figure 6A</xref>) significantly augmented Po (<xref ref-type="fig" rid="fig6">Figure 6B–D</xref>). In this set of experiments, the identity of the Ca<sup>2+</sup> channels in the patch was confirmed by applying the LTCC activity promoting Bay K8644, which, consistently, augmented the current under the patch.</p><fig id="fig6" position="float"><label>Figure 6.</label><caption><title>Bradykinin (BK) signaling augments Po of L-type Ca<sup>2+</sup> channels (LTCCs) in hippocampal neurons.</title><p>(<bold>A</bold>) Seals were formed by the recording pipettes before application of BK and ultimately of BayK8644 (BayK) to ensure channel activity was mediated by LTCCs. (<bold>B</bold>) Sample diary shows time course of Po before and after application of 5 µM BK and then 5 µM BayK to not only provide further evidence that the channels in the patch were LTCC but also aid in determining channel number <italic>k</italic> (upper left), which is the number of channels under the patch as estimated based on the maximal number of observed stagged openings in each patch. (<bold>C</bold>) Ten consecutive traces from representative cell-attached single-channel recordings of LTCCs before and after application of BK and then BayK. Bottom panels show ensemble averages. (<bold>D</bold>) BK increases Po (left) and peak currents of ensemble averages (right). Data are presented as means ± standard error of the mean (SEM; <italic>n</italic> = 7 cells). Statistical significance was tested by a paired, two-tailed Students <italic>t</italic>-test, *p ≤ 0.05. Panel A was created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com">Biorender.com</ext-link>.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig6-v2.tif"/></fig></sec><sec id="s2-5"><title>Pyk2 co-immunoprecipitates with Ca<sub>V</sub>1.2 from brain and heart</title><p>Kinases and proteins that regulate kinase activity are often found in complexes with their ultimate target proteins (i.e., their ultimate substrates) including different ion channels for efficient and specific signaling (<xref ref-type="bibr" rid="bib28">Dai et al., 2009</xref>; <xref ref-type="bibr" rid="bib38">Dodge-Kafka et al., 2006</xref>). Both, PKC (<xref ref-type="bibr" rid="bib100">Navedo et al., 2008</xref>; <xref ref-type="bibr" rid="bib141">Yang et al., 2005</xref>) and Src (<xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib22">Chao et al., 2011</xref>; <xref ref-type="bibr" rid="bib66">Hu et al., 1998</xref>), are associated with Ca<sub>V</sub>1.2. We tested in brain and heart (where Ca<sub>V</sub>1.2 is most abundant) whether the same is true for Pyk2. The Pyk2 antibody detected a single immunoreactive band with an apparent <italic>M</italic><sub>R</sub> of ~120 kDa in brain lysate (<xref ref-type="fig" rid="fig7">Figure 7A</xref>) and two bands in the same range in heart (<xref ref-type="fig" rid="fig7">Figure 7A, B</xref>), as reported earlier (<xref ref-type="bibr" rid="bib35">Dikic et al., 1998</xref>). The shorter form is missing 42 residues in the proline-rich region of Pyk2, which affects its binding selectivity to proteins with SH3 domains. The single size form of Pyk2 present in brain and its two size forms expressed in heart co-immunoprecipitated with Ca<sub>V</sub>1.2 (<xref ref-type="fig" rid="fig7">Figure 7A, B</xref>). No Pyk2 immunoreactive band was detectable when the immunoprecipitation (IP) was performed with control IgG, demonstrating that the co-IP of Pyk2 with Ca<sub>V</sub>1.2 was specific. The detergent extracts from brain and heart were cleared of non-soluble material by ultracentrifugation prior to co-IP of Pyk2 with Ca<sub>V</sub>1.2. Thus, our findings indicate that Pyk2 forms a bona fide protein complex with Ca<sub>V</sub>1.2 rather than just co-residing in a detergent-resistant subcellular compartment. We also confirmed earlier work (<xref ref-type="fig" rid="fig7">Figure 7A</xref>, bottom panel) that indicated association of Src with Ca<sub>V</sub>1.2 in vitro (<xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib42">Endoh, 2005</xref>; <xref ref-type="bibr" rid="bib53">Gui et al., 2006</xref>; <xref ref-type="bibr" rid="bib66">Hu et al., 1998</xref>; <xref ref-type="bibr" rid="bib125">Strauss et al., 1997</xref>; <xref ref-type="bibr" rid="bib139">Wu et al., 2001</xref>) and in intact cells (<xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib22">Chao et al., 2011</xref>; <xref ref-type="bibr" rid="bib66">Hu et al., 1998</xref>).</p><fig id="fig7" position="float"><label>Figure 7.</label><caption><title>Pyk2 binds to the loop between domains II and III of α<sub>1</sub>1.2. Co-immunoprecipitation of Pyk2 and Src with Ca<sub>V</sub>1.2 from brain (<bold>A</bold>) and heart (<bold>B</bold>).</title><p>Triton X-100 extracts were cleared from non-soluble material by ultracentrifugation before immunoprecipitation (IP) with antibodies against α<sub>1</sub>1.2, Pyk2 itself, or non-immune control antibodies (rabbit IgG) and immunoblotting (IB) with anti-Pyk2 and anti-Src. Brain lysate (<bold>A</bold>, Input; 20 μl) and Pyk2 immunoprecipitates (<bold>B</bold>) served as positive control for detection of Pyk2 and Src by IB. Lanes for rabbit IgG control and α<sub>1</sub>1.2 IP in B are from the same IB as the Pyk2 IP, which is depicted from a shorter exposure than the IgG and α<sub>1</sub>1.2 IP lanes because IB signal was much stronger after Pyk2 IP than α<sub>1</sub>1.2 IP. Comparable results were obtained in four independent experiments. (<bold>C</bold>) Schematic diagram of the intracellular α<sub>1</sub>1.2 fragments used in the pulldown assay (<xref ref-type="supplementary-material" rid="supp1">Supplementary file 1</xref>). (<bold>D</bold>) Pulldown assay of Pyk2 binding to α<sub>1</sub>1.2 fragments. GST fusion proteins of the N-terminus, the loops between domains I and II, II and III, III and IV, the whole C-terminus, and three different overlapping fragments covering the C-terminus were expressed in <italic>Escherichia coli</italic>, immobilized on glutathione Sepharose, washed and incubated with purified His-tagged Pyk2. Comparable amounts of fusion proteins were present (data not shown but see <xref ref-type="bibr" rid="bib57">Hall et al., 2013</xref>; <xref ref-type="bibr" rid="bib56">Hall et al., 2007</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib140">Xu et al., 2010</xref>). Comparable results were obtained in five independent experiments.</p><p><supplementary-material id="fig7sdata1"><label>Figure 7—source data 1.</label><caption><title>Original files of the full raw unedited blots with bands labeled in red boxes.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-79648-fig7-data1-v2.zip"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig7-v2.tif"/></fig></sec><sec id="s2-6"><title>Pyk2 binds to the loop between domains II and III of α<sub>1</sub>1.2</title><p>To further confirm a direct interaction between Pyk2 and Ca<sub>V</sub>1.2 we performed pulldown experiments using purified solubilized His-tagged Pyk2 and purified bead-bound GST-tagged α<sub>1</sub>1.2 fragments covering all intracellular regions of α<sub>1</sub>1.2 (<xref ref-type="supplementary-material" rid="supp1">Supplementary file 1</xref>, <xref ref-type="bibr" rid="bib121">Snutch et al., 1990</xref>). As demonstrated earlier, all α<sub>1</sub>1.2 fragments were present in comparable amounts (<xref ref-type="bibr" rid="bib57">Hall et al., 2013</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>). The GST fusion protein covering the loop between domains II and III of α<sub>1</sub>1.2 specifically pulled down Pyk2 (<xref ref-type="fig" rid="fig7">Figure 7C, D</xref>) indicating that Pyk2 directly binds to this region of the α<sub>1</sub> subunit.</p></sec><sec id="s2-7"><title>Inhibitors of Pyk2 and Src block the increase in α<sub>1</sub>1.2 tyrosine phosphorylation upon stimulation of PKC</title><p>PC12 cells are of neural-endocrine crest origin and widely used as model cells for neuronal signaling and development. They express high levels of Ca<sub>V</sub>1.2 (<xref ref-type="bibr" rid="bib41">Eiki et al., 2009</xref>; <xref ref-type="bibr" rid="bib98">Mustafa et al., 2010</xref>; <xref ref-type="bibr" rid="bib126">Taylor et al., 2000</xref>; <xref ref-type="bibr" rid="bib133">Walter et al., 2000</xref>), the BK receptor, and Pyk2 (<xref ref-type="bibr" rid="bib5">Bartos et al., 2010</xref>; <xref ref-type="bibr" rid="bib34">Dikic et al., 1996</xref>; <xref ref-type="bibr" rid="bib80">Lev et al., 1995</xref>), making them an ideal model system for the difficult biochemical analysis of Ca<sub>V</sub>1.2 phosphorylation. To characterize tyrosine phosphorylation of α<sub>1</sub>1.2 we performed IP with the general anti-phosphotyrosine antibody 4G10 (<xref ref-type="bibr" rid="bib26">Clifton et al., 2004</xref>; <xref ref-type="bibr" rid="bib135">Ward et al., 1992</xref>). For this purpose, lysates were extracted with 1% sodium dodecyl sulfate (SDS) at 65°C followed by neutralization of SDS and ultracentrifugation before IP with the general anti-phosphotyrosine antibody 4G10 (<xref ref-type="bibr" rid="bib26">Clifton et al., 2004</xref>; <xref ref-type="bibr" rid="bib135">Ward et al., 1992</xref>). IP with 4G10 followed by immunoblotting (IB) with antibodies against the protein of interest is more reliable and more broadly applicable than the inverse. Because α<sub>1</sub>1.2 does not re-associate with its binding partners after complex dissociation with SDS and the neutralization and dilution of SDS with Triton X-100 (<xref ref-type="bibr" rid="bib29">Davare et al., 1999</xref>; <xref ref-type="bibr" rid="bib62">Hell et al., 1995</xref>; <xref ref-type="bibr" rid="bib61">Hell et al., 1993b</xref>; see also <xref ref-type="bibr" rid="bib79">Leonard and Hell, 1997</xref>), detection of α<sub>1</sub>1.2 by IB in the 4G10 IP would reflect specific tyrosine phosphorylation of the α<sub>1</sub>1.2 subunit and not its artefactual re-association with an α<sub>1</sub>1.2-associating tyrosine-phosphorylated protein that had been pulled down by the 4G10 antibody. This approach also allows analysis of tyrosine phosphorylation of Pyk2 within the same sample.</p><p>PC12 cells were pretreated with vehicle (0.02% DMSO), the Pyk2 inhibitor PF-431396, or the Src inhibitors SU6656 and PP2 or its inactive analogue PP3 for 5 min before application of BK or PMA for 10 min. BK strongly activates Pyk2 in PC12 cells via its G<sub>q</sub>-coupled cognate receptor (<xref ref-type="bibr" rid="bib34">Dikic et al., 1996</xref>; <xref ref-type="bibr" rid="bib80">Lev et al., 1995</xref>). Using the 4G10 IP method, we found that both PMA and BK increased tyrosine phosphorylation of Pyk2 as previously described (<xref ref-type="bibr" rid="bib34">Dikic et al., 1996</xref>; <xref ref-type="bibr" rid="bib80">Lev et al., 1995</xref>; <xref ref-type="fig" rid="fig8">Figure 8A–C</xref>). This increase was prevented by PF-431396. In parallel, we determined phosphorylation of Pyk2 on Y402 and Y579 by direct IB of PC12 lysates with corresponding phosphospecific antibodies. Upon stimulation via PKC, Pyk2 phosphorylates itself in trans on Y402 (<xref ref-type="bibr" rid="bib5">Bartos et al., 2010</xref>; <xref ref-type="bibr" rid="bib104">Park et al., 2004</xref>) and then binds with phosphoY402 to the SH2 domain of Src (<xref ref-type="bibr" rid="bib34">Dikic et al., 1996</xref>). This binding stimulates Src (<xref ref-type="bibr" rid="bib34">Dikic et al., 1996</xref>), which in turn phosphorylates Pyk2 on Y579 in its activation loop for full activation (<xref ref-type="bibr" rid="bib1">Avraham et al., 2000</xref>; <xref ref-type="fig" rid="fig8">Figure 8A</xref>). Src also phosphorylates itself in trans on Y416 in its activation loop for its own full activation (<xref ref-type="bibr" rid="bib112">Roskoski, 2015</xref>), which was determined in parallel with a phosphospecific antibody. We found that BK and PMA increased phosphorylation of Pyk2 on Y402 (<xref ref-type="fig" rid="fig8">Figure 8B–D</xref>) and Y579 (<xref ref-type="fig" rid="fig8">Figure 8E, F</xref>) and of Src on Y416 (<xref ref-type="fig" rid="fig8">Figure 8G, H</xref>). PF-431396 blocked all of these phosphorylations indicating that Pyk2 acts downstream of PKC and upstream of Src. Furthermore, the Src inhibitor PP2, but not its inactive analog, PP3, also prevented PMA-induced Src autophosphorylation on Y416 (<xref ref-type="fig" rid="fig8">Figure 8I, J</xref>), as expected. Finally, PP2 inhibited PMA-induced phosphorylation of Pyk2 on Y402 and Y579 indicative of a self-maintaining positive feedback loop between Pyk2 and Src (<xref ref-type="fig" rid="fig8">Figure 8K–M</xref>). These results support the specific activation of both, Pyk2 and Src under our conditions and suggest that this activation occurs in a self-sustaining manner, which creates a quasi-molecular memory (<xref ref-type="fig" rid="fig8">Figure 8A</xref>).</p><fig id="fig8" position="float"><label>Figure 8.</label><caption><title>PKC activates interdependent Pyk2 and Src.</title><p>PC12 cells were pretreated with vehicle (0.02% DMSO), the Pyk2 inhibitor PF-431396 (3 μM), and the Src inhibitor PP2 (10 μM) or its inactive analogue PP3 (10 μM) for 5 min before application of bradykinin (Brad., 2 μM) or phorbol-12-myristate-13-acetate (PMA, 2 μM) for 10 min, extraction with 1% sodium dodecyl sulfate (SDS) at 65°C to ensure dissociation of all proteins, neutralization of SDS with excess of Triton X-100, and ultracentrifugation. Supernatants were analysed by direct immunoblotting (IB) with the indicated Pyk2 and Src antibodies.</p><p>Some samples underwent immunoprecipitation (IP) with the anti-phosphotyrosine antibody 4G10 before IB with anti-Pyk2 antibody (top panel in <bold>A</bold> and quantification in <bold>B</bold>). IgG indicates control IP with non-immune mouse IgG. (<bold>A</bold>) Schematic diagram depicting the bradykinin receptor–PKC–Pyk2/Src signaling cascade and drugs used to target each molecular entity. (<bold>B</bold>) Upper panel: Total pY levels of Pyk2 determined by IP with 4G10 and IB with anti-Pyk2. Middle panel: pY402 levels of Pyk2 detected with anti-pY402 in corresponding lysates. Lower panel: Levels of total Pyk2 detected with anti-Pyk2 in same lysates. (<bold>C</bold>) Ratios of total pY of Pyk2 after 4G10 IP to total Pyk2 in lysates, normalized to control. <italic>F</italic><sub>5,63</sub> = 12.73. DMSO vs. Brad., p = 0.012; DMSO vs. PMA, p &lt; 0.0001; Brad. vs. PF-431396 + Brad., p &lt; 0.0001; PMA vs. PF-431396 + PMA, p = 0.0001. (<bold>D</bold>) Ratios of pY402 to total Pyk2 signals in lysates, normalized to control. <italic>F</italic><sub>5,35</sub> = 10.94. DMSO vs. Brad., p = 0.039; DMSO vs. PMA, p = 0.0052; Brad. vs. PF-431396 + Brad., p = 0.0005; PMA vs. PF-431396 + PMA, p &lt; 0.0001. (<bold>E</bold>) Upper panel: pY579 levels of Pyk2 detected with anti-pY579. Lower panel: Levels of total Pyk2 detected with anti-Pyk2 in same lysates. (<bold>F</bold>) Ratios of pY579 to total Pyk2 signals in lysates, normalized to control. <italic>F</italic><sub>5,36</sub> = 10.18. DMSO vs. Brad., p = 0.0072; DMSO vs. PMA, p = 0.021; Brad. vs. PF-431396 + Brad., p = 0.0008; PMA vs. PF-431396 + PMA, p = 0.0011. (<bold>G, I</bold>) Upper panels: pY416 levels of Src detected with anti-pY416. Lower panels: Levels of total Src detected with anti-Src in same lysates. (<bold>H, J</bold>) Ratios of pY416 to total Src signals in lysates, normalized to control. (<bold>H</bold>) <italic>F</italic><sub>5,72</sub> = 4.464. DMSO vs. Brad., p = 0.0167; DMSO vs. PMA, p = 0.0226. (<bold>J</bold>) <italic>F</italic><sub>5,65</sub> = 11.06. DMSO vs. PMA, p = 0.001; PMA vs. PP2 + PMA, p &lt; 0.0001; DMSO vs. PP3 + PMA, p = 0.0042; PP3 vs. PP3 + PMA, p = 0.0086. (<bold>K</bold>) Upper panel: pY402 levels of Pyk2 detected with anti-pY402. Middle panel: pY579 levels of Pyk2 detected with anti-pY579. Lower panel: Levels of total Pyk2 detected with anti-Pyk2 in same lysates. (<bold>L, M</bold>) Ratios of pY402 and pY579 to total Pyk2 signals in lysates, normalized to control. (<bold>L</bold>) <italic>F</italic><sub>5,42</sub> = 35.85. DMSO vs. PMA, p &lt; 0.0001; PMA vs. PP2 + PMA, p &lt; 0.0001; PP3 vs. PP3 + PMA, p = 0.0001; DMSO vs. PP3 + PMA, p = 0.0068; DMSO vs. PP2 + PMA, p = 0.0001; DMSO vs. PP2, p &lt; 0.0001. (<bold>M</bold>) <italic>F</italic><sub>5,68</sub> = 13.40. DMSO vs. PMA, p &lt; 0.0001; PMA vs. PP2 + PMA, p &lt; 0.0001; PP3 vs. PP3 + PMA, p = 0.0362; DMSO vs. PP3 + PMA, p = 0.0202. (<bold>C, D, F, H, J, L, M</bold>) Data are presented as mean ± standard error of the mean (SEM). Number (<italic>n</italic>) of independent experiments for each condition are indicated inside bars. Statistical analysis was by analysis of variance (ANOVA) with post hoc Bonferroni’s multiple comparisons test; *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001. Bradykinin- and PMA-induced phosphorylation of Pyk2 on Y402 and Y579 and of Src on Y416, all of which were blocked by PF-431396 and PP2 but not the inactive PP3. Panel A was created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com">Biorender.com</ext-link>.</p><p><supplementary-material id="fig8sdata1"><label>Figure 8—source data 1.</label><caption><title>Original files of the full raw unedited blots with bands labeled in red boxes.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-79648-fig8-data1-v2.zip"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig8-v2.tif"/></fig><p>Importantly, PMA and BK induced tyrosine phosphorylation of α<sub>1</sub>1.2 (<xref ref-type="fig" rid="fig9">Figure 9</xref>). This effect was blocked by the Pyk2 inhibitor PF-431396 (<xref ref-type="fig" rid="fig9">Figure 9A–C</xref>) and the Src inhibitors SU6656 and PP2, whereas the inactive PP2 analogue PP3 was without effect (<xref ref-type="fig" rid="fig9">Figure 9D, E</xref>). These data show that activation of PKC translates into tyrosine phosphorylation of α<sub>1</sub>1.2 and that this requires both Pyk2 and Src.</p><fig id="fig9" position="float"><label>Figure 9.</label><caption><title>Increase in α<sub>1</sub>1.2 tyrosine phosphorylation by PKC is blocked by inhibitors or Pyk2 and Src. PC12 cells were treated as in <xref ref-type="fig" rid="fig8">Figure 8</xref> for analysis of tyrosine phosphorylation by immunoprecipitation (IP) with 4G10 and immunoblotting (IB) with anti-α<sub>1</sub>1.2.</title><p>IgG indicates control IP with non-immune mouse IgG. Vehicle (0.02% DMSO), PF-431396 (3 μM), PP2 (10 μM), PP3 (10 μM), or SU6656 (SU, 10 μM) were applied 5 min before phorbol-12-myristate-13-acetate (PMA) or bradykinin (Brad.) when indicated. (<bold>A</bold>) Schematic diagram depicting the bradykinin receptor–PKC–Pyk2/Src–Ca<sub>V</sub>1.2 signaling cascade and drugs used to target each molecular entity. (<bold>B, D</bold>) Upper panels: pY of α<sub>1</sub>1.2 determined by 4G10 IP and α<sub>1</sub>1.2 IB. Lower panels: Levels of total α<sub>1</sub>1.2 detected with anti-α<sub>1</sub>1.2 in corresponding lysates. (<bold>C, E</bold>) Ratios of pY signals in 4G10 IPs by IB with anti-α<sub>1</sub>1.2 to α<sub>1</sub>1.2 signals in lysates, normalized to control. Data are presented as mean ± standard error of the mean (SEM). Number (<italic>n</italic>) of independent experiments for each condition are indicated inside bars. Statistical analysis was by analysis of variance (ANOVA) with post hoc Bonferroni’s multiple comparisons test. (<bold>C</bold>) <italic>F</italic><sub>5,50</sub> = 10.65. DMSO vs. Brad., p = 0.0021; DMSO vs. PMA, p = 0.0036; Brad. vs. PF-431396 + Brad., p = 0.0003; PMA vs. PF-431396 + PMA, p &lt; 0.0001. (<bold>E</bold>) <italic>F</italic><sub>7,31</sub> = 23.67. DMSO vs. PMA, p &lt; 0.0001; PMA vs. PP2 + PMA, p &lt; 0.0001; PMA vs. SU + PMA, p &lt; 0.0001 (**p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001). Bradykinin- and PMA-induced α<sub>1</sub>1.2 tyrosine phosphorylation was blocked by PF-431396, SU6656 and PP2 but not the inactive PP3. Panel A was created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com">Biorender.com</ext-link>.</p><p><supplementary-material id="fig9sdata1"><label>Figure 9—source data 1.</label><caption><title>Original files of the full raw unedited blots with bands labeled in red boxes.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-79648-fig9-data1-v2.zip"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig9-v2.tif"/></fig></sec><sec id="s2-8"><title>Knock down of Pyk2 and Src prevents the increase in α<sub>1</sub>1.2 tyrosine phosphorylation upon stimulation of PKC</title><p>To control for any potential side effects of PF-431396 and determine whether Pyk2 is required for PKC-induced tyrosine phosphorylation of α<sub>1</sub>1.2 we employed FIV and HIV lentiviral expression vectors for shRNAs targeting Pyk2 in PC12 cells. We first designed and cloned an shRNA-targeting rat Pyk2 (Sh1) into the FIV-based plasmid pVETL-GFP (<xref ref-type="bibr" rid="bib5">Bartos et al., 2010</xref>; <xref ref-type="bibr" rid="bib17">Boudreau and Davidson, 2012</xref>; <xref ref-type="bibr" rid="bib58">Harper et al., 2006</xref>) and tested the ability and specificity of this construct to knockdown ectopically expressed Pyk2 in HEK293T/17 cells. Cells were co-transfected with vectors for expression of GFP-tagged rat Pyk2 (rPyk2-GFP) and the pVETL-Sh1-GFP or no shRNA control pVETL-GFP (<xref ref-type="fig" rid="fig10">Figure 10A</xref>) and Pyk2 expression levels in the transfected cell lysates were examined via IB. Expression of rPyk2-GFP was virtually abolished by pVETL-Sh1-GFP whereas the control pVETL-GFP had no effect (<xref ref-type="fig" rid="fig10">Figure 10A</xref>). IB with both tubulin and GAPDH antibodies confirmed that total protein levels were not affected by transfection of these plasmids (<xref ref-type="fig" rid="fig10">Figure 10A</xref>).</p><fig id="fig10" position="float"><label>Figure 10.</label><caption><title>Increase in α<sub>1</sub>1.2 tyrosine phosphorylation by PKC is blocked by knockdown of Pyk2 and Src.</title><p>(<bold>A</bold>) Lysates from HEK293T/17 cells transfected with vectors encoding rat Pyk2 (rPyk2-GFP) and either the Pyk2-targeting FIV lentivirus-derived, pVETL-Sh1-GFP (pFV-Pyk2-Sh1) or control (empty) pVETL-GFP (pFV-GFP) expression vectors, were immunoblotted (IB) with indicated antibodies. (<bold>B, C</bold>) IB analysis of indicated proteins in PC12 cultures incubated with viral particles containing pFV-Sh1-GFP (Sh1) FIV-based expression vector used in A or medium vehicle alone for 72 hr prior to treatment with either phorbol-12-myristate-13-acetate (PMA, <bold>B</bold>), bradykinin (Brad.; <bold>C</bold>), or vehicle alone (−; <bold>B, C</bold>). Upper blots in B and C show anti-α<sub>1</sub>1.2 IBs of 4G10-anti-phosphotyrosine (pY) immunoprecipitation (IP) while middle and lower blots show direct IBs of indicated protein levels in input lysates. (<bold>D</bold>) Statistical analysis of the relative pY α<sub>1</sub>1.2 levels. <italic>F</italic><sub>5,41</sub> = 8.276. NT vs. PMA, p = 0.0031; NT vs. Brad., p = 0.0017; PMA vs. Sh1 + PMA, p = 0.001; Brad vs. Sh1 + Brad, p = 0.0433. (<bold>E, F</bold>) Direct IB analysis of indicated proteins in lysates of PC12 cultures transduced with HIV vector-derived lentiviral particles (e.g., pGFP-Pyk2-ShB-Lenti) containing expression cassettes for GFP and either the Pyk2-targeting (denoted pHV-Pyk-ShB and -ShC), Src-targeting (denoted pHV-Src-ShC and -ShD), or scrambled hairpin control (Cont.) shRNAs. In some cases (right blot in F) cultures were treated with PMA (+) or vehicle alone (−) before harvesting for IB. (<bold>G, H</bold>) IB analysis of indicated proteins from PC12 cultures infected with lentiviral particles containing HIV-GFP expression vectors as in E and F prior to treatment with either PMA (+) or vehicle (−). Upper panels show anti-α<sub>1</sub>1.2 IBs of 4G10-anti-pY IP while lower blots show direct IBs of input lysates with indicated antibodies. (<bold>I</bold>) Statistical analysis of relative α<sub>1</sub>1.2 pY levels. <italic>F</italic><sub>11,129</sub> = 6.180. NT vs. PMA, p &lt; 0.0001; PMA vs. Pyk2-ShB, p = 0.0005; PMA vs. Pyk2-ShB + PMA, p = 0.0029; PMA vs. Pyk2-ShC, p &lt; 0.0001; PMA vs. Pyk2-ShC + PMA, p = 0.0002; PMA vs. Cont.-Sh, p = 0.0019; PMA vs. Cont.-Sh + PMA, p &gt; 0.9999; PMA vs. Src-ShB, p = 0.0007; PMA vs. Src-ShB + PMA, p &lt; 0.0001; PMA vs. Src-ShC, p &lt; 0.0001; PMA vs. Src-ShC + PMA, p <italic>&lt;</italic> 0.0001. The bar graphs in (D) and (I) show ratios of quantified anti-α<sub>1</sub>1.2 IB signals in 4G10 IPs relative to α<sub>1</sub>1.2 IB signals in total lysates, normalized to not treated (NT) control. Comparisons are made between samples treated with PMA (or bradykinin in D) and each of the other indicated conditions. Data are presented as mean ± standard error of the mean (SEM). Number (<italic>n</italic>) of independent experiments for each condition are indicated inside bars. Statistical analysis by analysis of variance (ANOVA) with post hoc Bonferroni’s multiple comparisons test (ns = not significant vs. PMA, <italic>*</italic>p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001).</p><p><supplementary-material id="fig10sdata1"><label>Figure 10—source data 1.</label><caption><title>Original files of the full raw unedited blots with bands labeled in red boxes.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-79648-fig10-data1-v2.zip"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig10-v2.tif"/></fig><p>Next we tested whether pVETL-Sh1-GFP would inhibit PMA- and BK-induced α<sub>1</sub>1.2 phosphorylation in PC12 cells. pVETL-Sh1-GFP lentiviral particles carrying the Sh1-shRNA and GFP expression cassettes were used to efficiently infect PC12 cells. Infected cells were monitored for GFP expression and then subjected to overnight serum starvation (to ensure low signaling levels) before treatment with PMA or BK. Fully SDS-dissociated tyrosine-phosphorylated proteins were immunoprecipitated with 4G10 before SDS–polyacrylamide gel electrophoresis (PAGE) and α<sub>1</sub>1.2 IB (<xref ref-type="fig" rid="fig10">Figure 10B, C</xref>). As before, PMA and BK induced in average an about 2.5-fold increase in tyrosine phosphorylation of the α<sub>1</sub>1.2 subunit, which was strongly repressed by Sh1 (<xref ref-type="fig" rid="fig10">Figure 10B–D</xref>). IB for total Pyk2 content confirmed Pyk2 knockdown by ~70–90% (<xref ref-type="fig" rid="fig10">Figure 10B, C</xref>, bottom panels). These findings indicate that depletion of Pyk2 potently blunts the PKC-mediated increase in α<sub>1</sub>1.2 tyrosine phosphorylation. Total α<sub>1</sub>1.2 content was not altered by Sh1. These findings indicate that Pyk2 knockdown does not affect α<sub>1</sub>1.2 expression levels and that the reduction in tyrosine-phosphorylated α<sub>1</sub>1.2 is likely not due to any potential off-target effects of the pVETL-Sh1-shRNA.</p><p>To further verify and extend these findings we obtained HIV-GFP lentiviral vectors for expression of validated unique 29mer shRNAs targeting Pyk2 (HIV-GFP-Pyk2ShA-D) and Src (HIV-GFP-SrcShA-D) as well as a scrambled, non-silencing control (HIV-GFP-Shscr). HIV-GFP-Pyk2ShB and C and HIV-GFP-SrcShB and C were most effective in knocking down endogenous Pyk2 and Src, respectively (<xref ref-type="fig" rid="fig10">Figure 10E, F</xref> and data not shown). PC12 cells were transduced with HIV-GFP-Pyk2ShB and C and HIV-GFP-Shscr, serum starved, stimulated with PMA, harvested, and lysed before 4G10 IP and IB for α<sub>1</sub>1.2, Pyk2, Src, and tubulin. Total protein levels of α<sub>1</sub>1.2, Pyk2, Src, and tubulin in lysate were monitored in parallel. The Pyk2-targeting HIV-GFP-Pyk2ShB and C but not the scrambled control shRNA abrogated the PMA-induced increase in α<sub>1</sub>1.2 tyrosine phosphorylation (<xref ref-type="fig" rid="fig10">Figure 10G</xref>). Similarly, the Src-targeting HIV-GFP-SrcShB and C but not the scrambled control shRNA blocked the increase in α<sub>1</sub>1.2 tyrosine phosphorylation upon PMA application (<xref ref-type="fig" rid="fig10">Figure 10G, H</xref>). For quantification, phosphotyrosine signals were normalized to total α<sub>1</sub>1.2 in lysate (<xref ref-type="fig" rid="fig10">Figure 10I</xref>). None of the HIV viral constructs exhibited any detectable effects on protein expression of α<sub>1</sub>1.2, Pyk2, Src, or α-tubulin, vinculin, and GAPDH as determined in lysates suggesting these constructs did not affect general protein expression. Collectively, the above findings indicate that knockdown effects were specific and not simply the consequence of viral infection or expression of non-specific stem-loop RNAs. Taken together, our findings strongly support the hypothesis that PKC signaling mediates its effects on Ca<sub>V</sub>1.2 through Pyk2 and Src.</p></sec><sec id="s2-9"><title>Inhibition of Pyk2 and Src blocks LTCC-dependent LTP</title><p>Ca<sub>V</sub>1.2 is concentrated in dendritic spines (<xref ref-type="bibr" rid="bib57">Hall et al., 2013</xref>; <xref ref-type="bibr" rid="bib63">Hell et al., 1996</xref>; <xref ref-type="bibr" rid="bib77">Leitch et al., 2009</xref>) where it mediates Ca<sup>2+</sup> influx (<xref ref-type="bibr" rid="bib14">Bloodgood and Sabatini, 2007</xref>; <xref ref-type="bibr" rid="bib64">Hoogland and Saggau, 2004</xref>) and several forms of LTP (<xref ref-type="bibr" rid="bib52">Grover and Teyler, 1990</xref>; <xref ref-type="bibr" rid="bib96">Moosmang et al., 2005</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>; <xref ref-type="bibr" rid="bib129">Tigaret et al., 2021</xref>). Notably, in older mice and rats, about half of the LTP (called LTP<sub>LTCC</sub>) induced by four 200 Hz tetani, each 0.5 s long and 5 s apart, is insensitive to NMDAR blockade but abrogated by inhibition or elimination of Ca<sub>V</sub>1.2 (<xref ref-type="bibr" rid="bib16">Boric et al., 2008</xref>; <xref ref-type="bibr" rid="bib52">Grover and Teyler, 1990</xref>; <xref ref-type="bibr" rid="bib96">Moosmang et al., 2005</xref>; <xref ref-type="bibr" rid="bib117">Shankar et al., 1998</xref>; <xref ref-type="bibr" rid="bib134">Wang et al., 2016</xref>). Pharmacological inhibition and genetic disruption of Ca<sub>V</sub>1.2 also abolish LTP induced by either pairing presynaptic stimulation with backpropagating action potentials (<xref ref-type="bibr" rid="bib87">Magee and Johnston, 1997</xref>; <xref ref-type="bibr" rid="bib129">Tigaret et al., 2021</xref>; <xref ref-type="bibr" rid="bib128">Tigaret et al., 2016</xref>) or by 5 Hz/3 min tetani, the latter form of LTP requiring β<sub>2</sub>AR signaling to upregulate Ca<sub>V</sub>1.2 activity (<xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib107">Qian et al., 2012</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>). Thus, we hypothesized that upregulation of Ca<sub>V</sub>1.2 activity by α<sub>1</sub>AR signaling can augment LTCC-dependent forms of LTP.</p><p>LTP<sub>LTCC</sub> is prominent in mice older than 1 year (30–40% above baseline) but small in mice younger than 3 months (10–15% above baseline) (<xref ref-type="bibr" rid="bib16">Boric et al., 2008</xref>; <xref ref-type="bibr" rid="bib117">Shankar et al., 1998</xref>). LTP<sub>LTCC</sub> requires Ca<sub>V</sub>1.2 activity (<xref ref-type="bibr" rid="bib96">Moosmang et al., 2005</xref>) and stimulation of PKC signaling via type I metabotropic glutamate receptors (mGluR) (<xref ref-type="bibr" rid="bib134">Wang et al., 2016</xref>). We tested whether increasing Ca<sub>V</sub>1.2 activity through α<sub>1</sub>AR–PKC–Pyk2–Src signaling can augment LTP<sub>LTCC</sub>. Similar to previous reports (<xref ref-type="bibr" rid="bib16">Boric et al., 2008</xref>; <xref ref-type="bibr" rid="bib117">Shankar et al., 1998</xref>), LTP<sub>LTCC</sub> was ~10% and was not statistically significant above baseline in our 13- to 20-week-old mice (<xref ref-type="fig" rid="fig11">Figure 11A</xref>). However, when Ca<sub>V</sub>1.2 activity was upregulated by stimulation of α<sub>1</sub>ARs with PHE, robust LTP<sub>LTCC</sub> occurred (p ≤ 0.05, <xref ref-type="fig" rid="fig11">Figure 11A</xref>). This augmentation of LTP<sub>LTCC</sub> was completely blocked by the LTCC inhibitor nimodipine and the α<sub>1</sub>AR antagonist prazosin (both p ≤ 0.001, <xref ref-type="fig" rid="fig11">Figure 11A</xref>). Thus, this elevated potentiation strictly depends on both the activity of LTCCs and signaling through α<sub>1</sub>ARs. Importantly, this LTP<sub>LTCC</sub> is also blocked by the Pyk2 inhibitor PF-719 and the Src inhibitor PP2 (both p ≤ 0.001, <xref ref-type="fig" rid="fig11">Figure 11B</xref>). These data indicate that robust LTP<sub>LTCC</sub> in 13- to 20-week-old mice requires Pyk2 and Src activity downstream of engaging α<sub>1</sub>AR to boost LTCC activation to sufficient levels.</p><fig id="fig11" position="float"><label>Figure 11.</label><caption><title>α<sub>1</sub>AR signaling augments LTP<sub>LTCC</sub> through L-type Ca<sup>2+</sup> channel (LTCC) activity, Pyk2, and Src.</title><p>LTP<sub>LTCC</sub> was induced by four 200 Hz tetani, each 0.5 s long, in the CA3 Schaffer collateral projections to CA1 in acute hippocampal slices from 13- to 20-week-old mice. (<bold>A</bold>) LTP<sub>LTCC</sub> required phenylephrine (PHE; 10 μM) and was prevented by the LTCC blocker nimodipine (10 μM; NIMO) and the α<sub>1</sub>AR antagonist prazosin (1 μM; PRAZ). <italic>F</italic><sub>3,36</sub> = 9.937. Control vs. PHE, p = 0.012; PHE vs. PHE/PRAZ, p = 0.0001; PHE vs. PHE/NIMO, p = 0.0003. (<bold>B</bold>) PHE-mediated long-term potentiation (LTP) is blocked by inhibitors of Pyk2 (1 μM PF-719) and Src (10 μM PP2). <italic>F</italic><sub>2,30</sub> = 13.90. PHE vs. PHE/PF-719, p = 0.0002; PHE vs. PHE/PP2, p = 0.0003. Dot plots on the right show potentiation of field excitatory postsynaptic potentials (fEPSPs) determined as the averages of all responses between 45 and 50 min after high-frequency stimulation (HFS) as % of averages of all responses in the 5 min preceding HFS. Bars and whiskers represent means ± standard error of the mean (SEM; *p ≤ 0.05, ***p ≤ 0.001; one-way analysis of variance [ANOVA] with the Bonferroni correction). The number of slices and mice used is indicated.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-79648-fig11-v2.tif"/></fig></sec></sec><sec id="s3" sec-type="discussion"><title>Discussion</title><p>NE is arguably the most important neuromodulator for alertness and attention, augmenting multiple behavioral and cognitive functions (<xref ref-type="bibr" rid="bib10">Berman and Dudai, 2001</xref>; <xref ref-type="bibr" rid="bib18">Cahill et al., 1994</xref>; <xref ref-type="bibr" rid="bib19">Carter et al., 2010</xref>; <xref ref-type="bibr" rid="bib67">Hu et al., 2007</xref>; <xref ref-type="bibr" rid="bib93">Minzenberg et al., 2008</xref>). The G<sub>q</sub>-coupled α<sub>1</sub>AR has a higher affinity for NE than βARs and has been implicated in many studies in attention and vigilance (<xref ref-type="bibr" rid="bib3">Bari and Robbins, 2013</xref>; <xref ref-type="bibr" rid="bib11">Berridge et al., 2012</xref>; <xref ref-type="bibr" rid="bib54">Hahn and Stolerman, 2005</xref>; <xref ref-type="bibr" rid="bib69">Hvoslef-Eide et al., 2015</xref>; <xref ref-type="bibr" rid="bib84">Liu et al., 2009</xref>; <xref ref-type="bibr" rid="bib106">Puumala et al., 1997</xref>; <xref ref-type="bibr" rid="bib111">Robbins, 2002</xref>). Inspired by our earlier findings that Ca<sub>V</sub>1.2 forms a unique signaling complex with β<sub>2</sub>AR, G<sub>s</sub>, AC, and PKA, making it a prominent effector of NE (<xref ref-type="bibr" rid="bib31">Davare et al., 2001</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>), we tested and found that Ca<sub>V</sub>1.2 is also a main target for NE signaling via the α<sub>1</sub>AR. Given that Ca<sub>V</sub>1.2 fulfills numerous functions in many cells this is a key and critical finding (<xref ref-type="bibr" rid="bib70">Jacquemet et al., 2016</xref>; <xref ref-type="bibr" rid="bib124">Splawski et al., 2004</xref>). In the following paragraphs, we discuss the four central and notable outcomes of our study.</p><p>Firstly, we found that stimulation of the α<sub>1</sub>AR or the BK receptor strongly increased LTCC activity in neurons (<xref ref-type="fig" rid="fig1">Figures 1</xref>, <xref ref-type="fig" rid="fig2">2,</xref>, <xref ref-type="fig" rid="fig4">4</xref>—<xref ref-type="fig" rid="fig6">6</xref>). Stimulation of two other major classes of G<sub>q</sub>-coupled receptors in neurons, mGluR1/5 and muscarinic M1/3/5 receptors affected LTCC activity at the cell soma only modestly or not at all, respectively (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1</xref>). Accordingly, G<sub>q</sub>-mediated signaling augments LTCC activity upon stimulation of defined but not all G<sub>q</sub>-coupled receptors. Thus, activity of LTCCs is selectively regulated by α<sub>1</sub>AR and BK receptor signaling. Perhaps G<sub>q</sub>-coupled mGluR and muscarinic receptors are not as close to the LTCCs that were recorded in somata than the α<sub>1</sub>AR or BK receptor, limiting their contribution to regulating Ca<sub>V</sub>1.2. Defining what restricts the receptor type that can regulate LTCCs will be an interesting avenue of future investigation.</p><p>Remarkably, inhibitors of PKC, Pyk2, and Src reduce under nearly all conditions Ca<sub>V</sub>1.2 baseline activity and also tyrosine phosphorylation of Ca<sub>V</sub>1.2, Pyk2, and Src even when activators for α<sub>1</sub>AR and PKC were present. Especially notable is the strong reduction of channel activity way below the control conditions by the Src inhibitor PP2 as well as the PKC inhibitor chelerythrine in <xref ref-type="fig" rid="fig2">Figure 2C</xref>. This effect is consistent with PP2 strongly reducing down below control conditions tyrosine phosphorylation of Src (<xref ref-type="fig" rid="fig8">Figure 8J</xref>), Pyk2 (<xref ref-type="fig" rid="fig8">Figure 8L</xref>), and Ca<sub>V</sub>1.2 (<xref ref-type="fig" rid="fig9">Figure 9E</xref>) even with the PKC activator PMA present. These findings suggest that Pyk2 and Src experience significant although clearly by far not full activation under basal conditions as reflected by their own phosphorylation status, which translates into tyrosine phosphorylation of Ca<sub>V</sub>1.2 under such basal conditions.</p><p>Secondly, we identified a complex PKC/Pyk2/Src cascade that mediates regulation of Ca<sub>V</sub>1.2 by the α<sub>1</sub>AR. Clear evidence for this signaling pathway is provided by the inhibition of PHE-induced upregulation of LTCC activity by inhibitors of PKC, Pyk2, and Src (<xref ref-type="fig" rid="fig2">Figure 2</xref>), which is further supported by the finding that direct stimulation of PKC also upregulates LTCC activity via Pyk2 and Src (<xref ref-type="fig" rid="fig3">Figure 3</xref>). The role of the PKC/Pyk2/Src pathway in regulating Ca<sub>V</sub>1.2 is also substantiated by the association of Pyk2 in addition to Src and PKC with Ca<sub>V</sub>1.2 (<xref ref-type="fig" rid="fig7">Figure 7</xref>) and inhibition of PKC-induced tyrosine phosphorylation of Ca<sub>V</sub>1.2 by Pyk2 and Src inhibitors (<xref ref-type="fig" rid="fig9">Figure 9</xref>) and Pyk2 and Src knockdown (<xref ref-type="fig" rid="fig10">Figure 10</xref>). Multiple shRNAs specifically targeting both Pyk2 and Src efficiently prevented the PKC-mediated increase in α<sub>1</sub>1.2 tyrosine phosphorylation. These observations not only confirm that Pyk2 mediates the Ca<sub>V</sub>1.2 regulation downstream of PKC but also indicates that Src itself is in this context a relevant member of the Src kinase family.</p><p>Thirdly, we found that Pyk2 is firmly associated with Ca<sub>V</sub>1.2 under basal conditions as reflected by their co-IP (<xref ref-type="fig" rid="fig7">Figure 7</xref>). This association places Pyk2 into a complex that also contains its immediate upstream activator and downstream effector, that is, PKC and Src. PKC can directly bind to the distal C-terminal region of α<sub>1</sub>1.2, which also contain S1928 (<xref ref-type="bibr" rid="bib141">Yang et al., 2005</xref>). Given that S1928 is a phosphorylation site for PKC (<xref ref-type="bibr" rid="bib141">Yang et al., 2005</xref>), it is conceivable that PKC binding to this region reflects a temporary kinase–substrate interaction rather than a more permanent association of PKC with Ca<sub>V</sub>1.2, although this consideration does not rule out that PKC can stably bind to another region in the C-terminus of α<sub>1</sub>1.2. In addition, the A kinase anchor protein AKAP150, which is a major interaction partner for Ca<sub>V</sub>1.2 (<xref ref-type="bibr" rid="bib29">Davare et al., 1999</xref>; <xref ref-type="bibr" rid="bib56">Hall et al., 2007</xref>; <xref ref-type="bibr" rid="bib102">Oliveria et al., 2007</xref>), binds not only PKA but also PKC (<xref ref-type="bibr" rid="bib74">Klauck et al., 1996</xref>) and constitutes another potentially constitutive link between PKC and Ca<sub>V</sub>1.2 (<xref ref-type="bibr" rid="bib100">Navedo et al., 2008</xref>). Furthermore, like Pyk2, Src co-precipitates with Ca<sub>V</sub>1.2 (<xref ref-type="fig" rid="fig7">Figure 7</xref>) and binds directly to α<sub>1</sub>1.2 (<xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib22">Chao et al., 2011</xref>; <xref ref-type="bibr" rid="bib66">Hu et al., 1998</xref>). Our determination that Pyk2 co-precipitates with Ca<sub>V</sub>1.2 from not only brain but also heart indicates that Ca<sub>V</sub>1.2 forms a signaling complex with Pyk2 and Src and possibly also PKC in various tissues.</p><p>We identified the loop between domains II and III of α<sub>1</sub>1.2 as the binding site for Pyk2. This observation lends further support to the association of Pyk2 with Ca<sub>V</sub>1.2. Of note, Src binds to residues 1955–1973 in rat brain α<sub>1</sub>1.2 (corresponding to residues 1982–2000 in the original rabbit cardiac α<sub>1</sub>1.2 <xref ref-type="bibr" rid="bib92">Mikami et al., 1989</xref>; <xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib22">Chao et al., 2011</xref>). This interaction with α<sub>1</sub>1.2 might bring Src in close proximity to loop II/III-associated Pyk2 to augment their structural and functional interaction once Pyk2 has been activated by PKC.</p><p>Formation of supramolecular signaling complexes or ‘signalosomes’ consisting of kinases and their ‘customers’ ensures fast, efficient, and specific signaling (<xref ref-type="bibr" rid="bib28">Dai et al., 2009</xref>; <xref ref-type="bibr" rid="bib38">Dodge-Kafka et al., 2006</xref>). Our work establishes the PKC–Pyk2–Src–Ca<sub>V</sub>1.2 complex as such a signalosome. Furthermore, it defines how various G<sub>q</sub>-coupled receptors stimulate the activity of Ca<sub>V</sub>1.2 in different cells. The remarkably strong upregulation of Ca<sub>V</sub>1.2 channel activity by Src (<xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib53">Gui et al., 2006</xref>) and upon activation of the PKC–Pyk2–Src signaling cascade as shown here rivals the upregulation by β-adrenergic signaling, which is a central and thus widely studied mechanism of regulating Ca<sup>2+</sup> influx into cardiomyocytes during the fight or flight response (<xref ref-type="bibr" rid="bib2">Balijepalli et al., 2006</xref>; <xref ref-type="bibr" rid="bib6">Bean et al., 1984</xref>; <xref ref-type="bibr" rid="bib45">Fu et al., 2013</xref>; <xref ref-type="bibr" rid="bib46">Fu et al., 2014</xref>; <xref ref-type="bibr" rid="bib47">Fuller et al., 2010</xref>; <xref ref-type="bibr" rid="bib78">Lemke et al., 2008</xref>; <xref ref-type="bibr" rid="bib85">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="bib110">Reuter, 1983</xref>). Of note, Ca<sub>V</sub>1.2 assembles all components required for β-adrenergic signaling including the β<sub>2</sub>AR, G<sub>s</sub>, adenylyl cyclase, and PKA in brain (<xref ref-type="bibr" rid="bib31">Davare et al., 2001</xref>; <xref ref-type="bibr" rid="bib29">Davare et al., 1999</xref>; <xref ref-type="bibr" rid="bib88">Man et al., 2020</xref>) and heart (<xref ref-type="bibr" rid="bib2">Balijepalli et al., 2006</xref>). Formation of this complex is important for upregulation of Ca<sub>V</sub>1.2 activity (<xref ref-type="bibr" rid="bib2">Balijepalli et al., 2006</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>) and LTP of glutamatergic synapses induced by a 5-Hz theta rhythm during β-adrenergic stimulation (<xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>). Analogously, assembly of the PKC–Pyk2–Src–Ca<sub>V</sub>1.2 signalosome may be important for fast and specific regulation of Ca<sub>V</sub>1.2 by the α<sub>1</sub>AR. This hypothesis can now be tested by pursuing determination of the precise binding site of Pyk2 in the loop between domains II and III of α<sub>1</sub>1.2 and then disrupting this interaction with peptides and point mutations. However, our initial attempts to narrow down the binding region by binding studies with six synthetic ~25 residue long overlapping peptides that spanned loop II/III failed (data not shown). Perhaps the Pyk2-binding site in loop II/III requires tertiary structural elements or sequences that were distributed between two neighboring peptides (which overlapped by five residues).</p><p>In rat brain neurons, LTCC activity can be increased by Src via phosphorylation of α<sub>1</sub>1.2 on Y2122 (<xref ref-type="bibr" rid="bib7">Bence-Hanulec et al., 2000</xref>; <xref ref-type="bibr" rid="bib53">Gui et al., 2006</xref>). However, this phosphorylation site is not conserved even within rodents. It is equivalent to position 2150 in rabbit cardiac α<sub>1</sub>1.2, which is a Cys and not Tyr residue (<xref ref-type="bibr" rid="bib92">Mikami et al., 1989</xref>). Accordingly, other Tyr residues must serve as phosphorylation sites. It will be an interesting challenge for future work to identify the exact phosphorylation site and then test its functional relevance.</p><p>Remarkably, the Src inhibitor PP2 also completely blocked PKC-induced autophosphorylation of Pyk2 on Y402 (<xref ref-type="fig" rid="fig8">Figure 8K, L</xref>). This finding indicates a close interdependence between Pyk2 and Src activation by PKC in PC12 cells (depicted in <xref ref-type="fig" rid="fig8">Figure 8A</xref>). It is consistent with earlier results indicating that Pyk2 activation (assessed by Y402 phosphorylation) requires catalytically active Src (<xref ref-type="bibr" rid="bib24">Cheng et al., 2002</xref>; <xref ref-type="bibr" rid="bib118">Shi and Kehrl, 2004</xref>; <xref ref-type="bibr" rid="bib123">Sorokin et al., 2001</xref>; <xref ref-type="bibr" rid="bib144">Zhao et al., 2016</xref>), although in other systems Y402 phosphorylation was not dependent on Src (<xref ref-type="bibr" rid="bib27">Corvol et al., 2005</xref>; <xref ref-type="bibr" rid="bib104">Park et al., 2004</xref>; <xref ref-type="bibr" rid="bib142">Yang et al., 2013</xref>). Accordingly, Pyk2 autophosphorylation on Y402 and the consequent binding of Src to phosphoY402 induces Src-mediated phosphorylation of Pyk2 on Y579 or Y580 in its activation loop, which further enhances Pyk2 activity beyond the level achieved by Pyk2 autophosphorylation on Y402 (<xref ref-type="bibr" rid="bib34">Dikic et al., 1996</xref>; <xref ref-type="bibr" rid="bib76">Lakkakorpi et al., 2003</xref>; <xref ref-type="bibr" rid="bib81">Li et al., 1999</xref>; <xref ref-type="bibr" rid="bib104">Park et al., 2004</xref>). Such interdependence was supported by the observation that Y579 phosphorylation upon PKC stimulation by either PMA or BK was also completely blocked by the Src inhibitor PP2 (<xref ref-type="fig" rid="fig8">Figure 8K, M</xref>).</p><p>Fourthly and finally, LTP<sub>LTCC</sub> induced by 200 Hz tetani in 13- to 20-week-old mice required stimulation of α<sub>1</sub>ARs and is completely blocked by inhibitors of LTCC, Pyk2, and Src (<xref ref-type="fig" rid="fig11">Figure 11</xref>). Incidentally, we were not able to induce any LTP<sub>LTCC</sub> in mice younger than 13 weeks. Taken together, our findings suggest that LTP<sub>LTCC</sub> requires stimulation of Ca<sub>V</sub>1.2 activity by α<sub>1</sub>AR–PKC–Pyk2–Src signaling. While we focus here on the importance of α<sub>1</sub>AR signaling for LTP<sub>LTCC</sub>, this is not the only form of LTP that requires upregulation of Ca<sup>2+</sup> influx through Ca<sub>V</sub>1.2. Prolonged theta tetanus LTP (PTT-LTP), which is induced by a 3-min-long 5 Hz tetanus, also depends on upregulation of Ca<sub>V</sub>1.2 activity (<xref ref-type="bibr" rid="bib16">Boric et al., 2008</xref>; <xref ref-type="bibr" rid="bib21">Cavuş and Teyler, 1996</xref>; <xref ref-type="bibr" rid="bib52">Grover and Teyler, 1990</xref>; <xref ref-type="bibr" rid="bib96">Moosmang et al., 2005</xref>; <xref ref-type="bibr" rid="bib134">Wang et al., 2016</xref>). In PTT-LTP, this upregulation is accomplished by β<sub>2</sub>AR–G<sub>s</sub>–adenylyl cyclase/cAMP–PKA signaling and the ensuing phosphorylation of the central pore-forming α<sub>1</sub>1.2 subunit of Ca<sub>V</sub>1.2 on S1928 by PKA (<xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib107">Qian et al., 2012</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>). Whether signaling by NE through α<sub>1</sub>AR and β<sub>2</sub>AR can act in parallel and is additive will be an interesting question for future studies. However, we already know that at least for classic PTT-LTP β<sub>2</sub>AR signaling is sufficient and does not require engagement of α<sub>1</sub>AR signaling (<xref ref-type="bibr" rid="bib107">Qian et al., 2012</xref>). Because regulation of Ca<sub>V</sub>1.2 by β<sub>2</sub>AR signaling is highly localized (<xref ref-type="bibr" rid="bib31">Davare et al., 2001</xref>; <xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>), it is conceivable that α<sub>1</sub>AR signaling might engage a subpopulation of Ca<sub>V</sub>1.2 channels whose spatial distribution differs from that of β<sub>2</sub>AR-stimulated Ca<sub>V</sub>1.2 in dendrites. Alternatively, parallel engagement of α<sub>1</sub>AR and β<sub>2</sub>AR signaling might ensure more robust and possibly additive or synergistic responses both at the Ca<sub>V</sub>1.2 channel level and in the synaptic potentiation that results.</p><p>LTP is thought to underlie learning and memory (<xref ref-type="bibr" rid="bib25">Choi et al., 2018</xref>; <xref ref-type="bibr" rid="bib138">Whitlock et al., 2006</xref>). Conditional knock out of Ca<sub>V</sub>1.2 in the hippocampus and forebrain impaired LTP<sub>LTCC</sub> as well as initial learning (<xref ref-type="bibr" rid="bib96">Moosmang et al., 2005</xref>) and long-term memory of spatial Morris water maze tasks (<xref ref-type="bibr" rid="bib137">White et al., 2008</xref>). Moreover, decreased Ca<sub>V</sub>1.2 expression or infusion of LTCC blockers into the hippocampus impaired both, LTP induced by pairing backpropagating action potentials in dendrites with synaptic stimulation and latent inhibition (LI) of contextual fear conditioning, the latter requiring learning to ignore non-relevant environmental stimuli (<xref ref-type="bibr" rid="bib129">Tigaret et al., 2021</xref>). These Ca<sub>V</sub>1.2-related learning deficits might be in part due to impaired attention the animals pay to their experimental environment during learning phases, processes requiring concerted attention (<xref ref-type="bibr" rid="bib103">Panichello and Buschman, 2021</xref>). Attention, in turn, depends on the neurotransmitter NE, which might augment spatial learning through regulation of Ca<sub>V</sub>1.2 via α<sub>1</sub>AR–PKC–Pyk2–Src signaling.</p><p>Ca<sub>V</sub>1.2 is increasingly implicated in not just the postsynaptic physiological functions discussed above. Multiple genome-wide association studies point to variants in the Ca<sub>V</sub>1.2 gene, <italic>CACNA1C</italic>, as major risk factors for schizophrenia, bipolar disorder, and other mental diseases (<xref ref-type="bibr" rid="bib12">Bhat et al., 2012</xref>; <xref ref-type="bibr" rid="bib43">Ferreira et al., 2008</xref>; <xref ref-type="bibr" rid="bib51">Green et al., 2010</xref>; <xref ref-type="bibr" rid="bib101">Nyegaard et al., 2010</xref>; <xref ref-type="bibr" rid="bib120">Smoller, 2013</xref>; <xref ref-type="bibr" rid="bib124">Splawski et al., 2004</xref>). Other studies link chronic upregulation of Ca<sub>V</sub>1.2 activity to etiologies behind senility and Alzheimer’s disease (e.g., <xref ref-type="bibr" rid="bib32">Davare and Hell, 2003</xref>; <xref ref-type="bibr" rid="bib33">Deyo et al., 1989</xref>; <xref ref-type="bibr" rid="bib36">Disterhoft et al., 1994</xref>; <xref ref-type="bibr" rid="bib127">Thibault and Landfield, 1996</xref>). Thus, it appears likely that dysfunctional regulation of Ca<sub>V</sub>1.2 contributes to these diseases, making the detailed molecular analyses of the signaling paradigms that regulate its functionality especially important to advance our mechanistic understanding for development of future therapies.</p><p>Here, we establish for the first time that NE upregulates Ca<sub>V</sub>1.2 activity via a complex α<sub>1</sub>AR signaling cascade through PKC, Pyk2, and Src, the activity of each component being essential for LTP<sub>LTCC</sub> and thus most likely relevant for learning. Our work forms the foundation for future studies to uncover the physiological context in which this action of NE is specifically engaged, what the precise role for each kinase is in this signaling cascade regulating Ca<sub>V</sub>1.2 activity, and how the individual kinases could be coordinately regulated to further fine-tune Ca<sub>V</sub>1.2 function. Given the central role of NE in attention and the many physiological and pathological aspects of Ca<sub>V</sub>1.2, regulation of this channel via NE–α<sub>1</sub>AR signaling predictably will elicit widespread and profound functional effects.</p></sec><sec id="s4" sec-type="materials|methods"><title>Materials and methods</title><sec id="s4-1"><title>Materials availability statement</title><p>Further information and requests for resources and reagents should be directed to and will be fulfilled by the corresponding authors, Mary C. Horne (<ext-link ext-link-type="uri" xlink:href="https://ptx.ucdavis.edu/people/mary-horne">mhorne@ucdavis.edu</ext-link>) and Johannes W. Hell (<ext-link ext-link-type="uri" xlink:href="https://mcip.ucdavis.edu/people/johannes-hell">jwhell@ucdavis.edu</ext-link>).</p></sec><sec id="s4-2"><title>Experimental model and subject details</title><sec id="s4-2-1"><title>Animals</title><p>Pregnant Sprague-Dawley (SD) rats were ordered from Envigo (Order code 002) or Charles River (Strain code 001) and E18 embryos were used for preparation of dissociated hippocampal neuronal cultures. SD rats used for preparation of tissue extracts from heart and brain were of either sex and around 3 months old. For LTP experiments, mice of the strain B6129SF1/J aged between 13 and 18 weeks (both males and females) were used.</p><p>Animals were maintained with a 12/12 hr light/dark cycle and were allowed to access food and water ad libitum. All procedures followed NIH guidelines and had been approved by the Institutional Animal Care and Use Committee (IACUC) at UC Davis (Protocol # 20673 and 22403).</p></sec><sec id="s4-2-2"><title>Primary hippocampal neuronal cultures</title><p>Primary hippocampal neurons were maintained at 37°C in humidified incubators under 5% CO<sub>2</sub> and 95% air. Both male and female rat embryos were used to prepare the cultures. Neurons were maintained in a medium containing 1× B-27 supplement (Gibco Cat#17504044), 1× Glutamax (Gibco Cat#35050061), 5% fetal bovine serum (FBS, Corning Cat#35-010-CV), and 1 µg/ml gentamicin (Gibco Cat#15710-064) in Neurobasal medium (Gibco Cat#21103-049). 10 µM each of 5-fluoro-2′-deoxyuridine (Sigma-Aldrich Cat#F0503) and uridine (Sigma-Aldrich Cat#U3003) were added around DIV7 to block the growth of glial cells.</p></sec><sec id="s4-2-3"><title>Cell lines</title><p>All cells were grown at 37°C in humidified incubators under 5% CO<sub>2</sub> and 95% air. Rat pheochromocytoma cell line PC12 (ATCC Cat# CRL-1721; RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID/RRID:CVCL_0481">CVCL_0481</ext-link>, male) was grown in RPMI 1640 media (Gibco Cat#11875-101) containing 10% horse serum (HS, Gemini Bio Products Cat#100-508) and 5% FBS. For serum starvation, PC12 were incubated for 18 hr in RPMI 1640 media containing 1% HS and 0.5% FBS. HT-1080 cells (ATCC CCL-121; RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID/RRID:CVCL_0317">CVCL_0317</ext-link>, male) used for virus titration were grown and maintained in MEM (Gibco Cat#11095-080) supplemented with 10% FBS. HEK293T/17 (ATCC Cat# CRL-11268, RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID/RRID:CVCL_1926">CVCL_1926</ext-link>, female) cells were routinely cultured in Dulbecco's Modified Eagle Medium (DMEM) supplemented with 10% FBS (Gibco Cat#11995-065). Cell lines used were obtained from ATCC, expanded and frozen at low passage number. Care was taken during the use of cell lines to ensure that only one cell line was processed in the culture hood at a time, and that they were used within 25–30 passages. Their morphology in culture and doubling time were routinely monitored as were other distinguishing properties such as high transfectability (HEK293T/17 cells) or high Ca<sub>V</sub>1.2 expression (PC12 cells) before the time of experimental use.</p></sec></sec><sec id="s4-3"><title>Authentication of cell lines</title><p>All three cell lines HEK293T/17, HT1080,and PC12 cells were obtained from ATCC, a well-established and highly reliable source for cell lines. These are the only cell lines currently used in our lab, minimizing further any potential for confusion.</p><p>HEK293T/17 was only used for production of virus for knockdown of Pyk2 and Src and initial testing for efficacy of respective knockdown and not for data collection. It was mostly authenticated by inspection of shape and determination of viability as well as the absence of voltage-gated ion channels including Ca<sub>V</sub>1.2 as tested electrophysiologically (all hallmarks of endothelial cells like HEK293 cells). All viruses produced with this cell line were of the expected titer and infectivity as tested. Further, the knockdown results for ectopically expressed Pyk2 and Src in these HEK293T cells were consistent with subsequent knockdown of endogenous Pyk2 and Src in our PC12 cells by several viruses with respective shRNA (<xref ref-type="fig" rid="fig9">Figure 9</xref> and data not shown).</p><p>HT1080 was exclusively used for testing viral titer and mostly authenticated by inspection of shape and determination of viability.</p><p>PC12 cells are derived from a pheochromocytoma tumor and were verified in different ways. Firstly, they had the typical appearance described earlier, with some ‘rugged’ edges under basal conditions. Upon addition of nerve growth factor (NGF) they adopted a more neuron-like appearance with elongated protrusions reminiscent of short neurites. This response to NGF is a clear hallmark of PC12 cells and the reason why they are popular for use in biochemical experiments when neuron-like cultured cells are needed. Additional parameters were expression of L-type Ca channels as determined electrophysiologically (data not shown) and biochemically specifically for Ca<sub>V</sub>1.2 as thoroughly analyzed in this study (<xref ref-type="fig" rid="fig8">Figures 8</xref>—<xref ref-type="fig" rid="fig10">10</xref>). In addition, expression of the BK receptor and its downstream effectors Pyk2 and Src is known to be very prominent in PC12 cells. (Pyk2 was first identified in PC12 cells) and again regularly observed in our thorough biochemical analysis.</p><p>Test for mycoplasma was performed per commercial PCR and was negative.</p></sec><sec id="s4-4"><title>Methods details</title><sec id="s4-4-1"><title>Culture of primary hippocampal neurons</title><p>Hippocampal neurons were cultured from wild-type E18 male and female embryos from SD rats. Hippocampus was excised from the brains of embryos in ice-cold Hank’s Buffer (Sigma-Aldrich Cat#H2387) with 10 mM 4-(2-Hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES) (Gibco Cat#15630-080), 0.35 g/l NaHCO<sub>3</sub> and 5 µg/ml gentamicin (Gibco Cat#15710-064) and digested in 0.78 mg/ml papain (Roche Cat#10108014001) in 5 ml of the same buffer at 37°C for 30 min, in an incubator containing 5% CO<sub>2</sub> and 95% air. Digested hippocampal tissue was washed with neuron medium twice, and triturated in the medium. The medium used for washes, trituration and culture of neurons consists of 1× B-27 supplement, 1× Glutamax, 5% FBS, and 1 µg/ml gentamicin in Neurobasal medium (as stated in Experimental model and subject details). 15,000 neurons were plated per well in 24-well plates on coverslips coated with poly-<sc>DL</sc>-ornithine (Sigma-Aldrich Cat#P0671) and laminin (Corning Cat#354232) and cultured in an incubator at 37°C and 5% CO<sub>2</sub> and 95% air.</p></sec><sec id="s4-4-2"><title>Single-channel recording – determination of overall channel activity (N × Po)</title><p>Single-channel recording was performed at room temperature on hippocampal neurons on DIV10–15 using the cell-attached configuration at an Olympus IX50 inverted microscope as before (<xref ref-type="bibr" rid="bib105">Patriarchi et al., 2016</xref>; <xref ref-type="bibr" rid="bib108">Qian et al., 2017</xref>). The membrane potential was fixed at ~0 mV using a high K<sup>+</sup> external solution. The external (bath) solution contained (in mM) 145 KCl, 10 NaCl, 10 HEPES, and 30 <sc>D</sc>-glucose (pH 7.4 with NaOH, 325–330 mOsM). The internal (pipette) solution contained 110 mM BaCl<sub>2</sub>, 20 mM tetraethylammonium chloride (TEA-Cl), 10 mM HEPES, 500 nM BayK 8644 (Tocris Cat#1546; 200 nM used for <xref ref-type="fig" rid="fig1">Figures 1</xref> and <xref ref-type="fig" rid="fig2">2</xref>; 500 nM used for <xref ref-type="fig" rid="fig3">Figure 3</xref>), and 1 µM each of ω-conotoxins MVIIC and GVIA (China Peptides, custom synthesized) (pH 7.2 with TEA-OH, 325–330 mOsM). 3.5–5.5 MΩ resistance pipettes were used. The concentrations of kinase inhibitors, α<sub>1</sub>AR receptor blocker and agonist are as indicated in the figure legends. Neurons were preincubated with kinase inhibitors or receptor blocker in culture medium for 10 min prior to the experiment, and kinase inhibitors and receptor blocker were, where relevant, present in the external solution during recording. In experiments where isradipine was used, it was placed in the pipette solution, and no pre-incubation with isradipine was performed. Recordings started within 10 min of placing coverslips in the recording chamber in a bath solution with or without PHE (Sigma-Aldrich Cat#P6126), PMA (Merck Millipore Cat#524400), and different kinase inhibitors and receptor blocker. Currents were sampled at 100 kHz and low-pass filtered at 2 kHz using an Axopatch 200B amplifier (Axon Instruments) and digitized using Digidata 1440A digitizer (Axon Instruments). Step depolarizations of 2-s duration (one sweep) were elicited to the patch from −80 to 0 mV at a start-to-start stimulation interval of 7 s. Typically, 100 sweeps were recorded per neuron and only cells with more than 70 sweeps recorded were analyzed. The single-channel search event detection algorithm of Clampfit 10.7.0.3 (Axon Instruments) was used to analyze single-channel activities. Ensemble average traces were computed by averaging all sweeps from one neuron and averaging the averaged traces from all neurons in each group.</p></sec><sec id="s4-4-3"><title>Single-channel recording – determination of Po</title><p>To specifically determine unitary channel open probability Po, borosilicate pipettes with a resistance of 7–12 MΩ were used. Only patches with no more than 4 channels (<italic>k</italic> ≤ 4) were included in the Po analysis to not overinterpret Po (<xref ref-type="bibr" rid="bib65">Horn, 1991</xref>). Data were corrected by the number of channels (<italic>k</italic> = 1) as previously described (<xref ref-type="bibr" rid="bib4">Bartels et al., 2018</xref>; <xref ref-type="bibr" rid="bib131">Turner et al., 2020</xref>). Unitary LTCC events from hippocampal neurons (DIV15–25) where isolated through blocking N/P/Q-type calcium channels by using 1 µM each of ω-conotoxins MVIIC and GVIA (China Peptides, custom synthesized) in the patch pipette and recorded as above at room temperature by step depolarizations from −80 to 0 mV. Extracellular bath solution contained 125 mM K-glutamate, 25 mM KCl, 2 mM MgCl<sub>2</sub>, 1 mM CaCl<sub>2</sub>, 1 mM ethylene glycol bis(2-aminoethyl)tetraacetic acid (EGTA), 10 mM HEPES, 10 mM glucose, and 1 mM Na-ATP, pH 7.4 with KOH. Depolarizing pipette solution contained 110 mM BaCl<sub>2</sub> and 10 mM HEPES, adjusted to a pH of 7.4 with TEA-OH. Data acquisition was performed at a sampling frequency of 10 kHz with an interpulse time of 5 s and data were low pass filtered at 2 kHz. The positive identification of LTCC activity was consequently tested by bolus application of either the dihydropyridine (DHP) BayK8644 (10 µM), which promotes L-type channel opening, or the channel-blocking DHPs isradipine (10 µM) or nimodipine (10 µM) to the bath solution at the end of each experimental run.</p></sec><sec id="s4-4-4"><title>Drugs</title><p>were prepared as stock solution in dH<sub>2</sub>O, freshly on the day of experiment respectively, 40 mM prazosin–HCl (Sigma-Aldrich), 20 mM NE bitartrate (Sigma-Aldrich) and 20 mM BK acetate (Sigma-Aldrich). Stocks were diluted again 1:10 or 1:100 and as a bolus directly applied to the bath solution during the recordings.</p></sec><sec id="s4-4-5"><title>Co-immunoprecipitation of Ca<sub>V</sub>1.2 with Pyk2 and Src</title><p>Brains and hearts were homogenized with a Potter tissue homogenizer in 10 ml of a homogenization buffer containing 50 mM Tris–HCl (pH 7.4), 150 mM NaCl, 5 mM EGTA pH 7.4, 10 mM ethylenediaminetetraacetic acid (EDTA), 1% Triton X-100, 25 mM NaF, 25 mM sodium pyrophosphate, 1 mM 4-nitrophenyl phosphate, 2 μM microcystin and protease inhibitors (1 μg/ml leupeptin [Millipore Cat#108975], 2 μg/ml aprotinin [Millipore Cat#616370], 10 μg/ml pepstatin A [Millipore Cat#516481] and 200 nM phenylmethylsulfonyl fluoride [PMSF]). High-speed centrifugation was performed at 40,000 rpm for 30 min at 4°C. 500 μg of total brain or heart lysate extracts were incubated with 15 μl of Protein-A Sepharose beads (CaptivA protein resin, Repligen, Cat#CA-PRI-0100) and 2 μg of anti-Ca<sub>V</sub>1.2 α1-subunit or control rabbit IgG antibody. Samples were incubated at 4°C for 4 hr before being washed three times with ice-cold wash buffer (0.1% Triton X-100 in 150 mM NaCl, 10 mM EDTA, 10 mM EGTA, 10 mM Tris, pH 7.4). Samples were then resolved by SDS–PAGE and transferred onto polyvinylidene difluoride (PVDF) membranes before IB with anti-Ca<sub>V</sub>1.2 α1-subunit (J.W. Hell lab), -Pyk2 (Millipore Cat#05-488; RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID/RRID:AB_2174219">AB_2174219</ext-link>), and -Src (J.S. Brugge lab) antibodies. The antibody dilutions used are listed in <xref ref-type="supplementary-material" rid="supp2">Supplementary file 2</xref>.</p></sec><sec id="s4-4-6"><title>GST pulldown assay</title><p>Fragments of intracellular loops of Ca<sub>V</sub>1.2 α<sub>1</sub>-subunit (<xref ref-type="supplementary-material" rid="supp1">Supplementary file 1</xref>; <xref ref-type="bibr" rid="bib30">Davare et al., 2000</xref>; <xref ref-type="bibr" rid="bib48">Gao et al., 2001</xref>) were expressed in <italic>Escherichia coli</italic> strain BL21 as GST fusion proteins, purified, and integrity verified by IB essentially as previously described (<xref ref-type="bibr" rid="bib8">Bennin et al., 2002</xref>; <xref ref-type="bibr" rid="bib44">Frangioni and Neel, 1993</xref>; <xref ref-type="bibr" rid="bib57">Hall et al., 2013</xref>; <xref ref-type="bibr" rid="bib55">Hall et al., 2006</xref>). Overnight cultures from single colonies of the corresponding plasmids were cultured initially in 50 ml of LB medium containing ampicillin (100 μg/ml) with aeration until saturation. Incubation temperature was optimized for each expression construct to optimize translation and stability and varied between 28 and 37°C. After a 1:10 dilution into the same medium, cultures were grown for about 2–4 hr until an A600 of about 0.8 was reached when isopropyl-β-<sc>D</sc>-thiogalactopyranoside was added for induction. After 4–5 hr bacteria were collected by centrifugation (5000 rpm, SLA 3000 rotor, Thermo Fisher Cat#07149) for 15 min and resuspended by gentle trituration in ice-cold 50 ml of Tris-buffered saline (TBS) Buffer (150 mM NaCl, 15 mM Tris-Cl, pH 7.4) containing protease inhibitors 1 μg/ml pepstatin A, 1 μg/ml leupeptin, 1 μg/ml aprotinin, and 200 nM PMSF. 0.1 mg/ml lysozyme was added to lyse cell walls. The mixture was kept on ice for 30 min before addition of Sarcosyl (1.5% final concentration), β-mercaptoethanol (10 mM), and DNAse (50 U) for 15 min to fully solubilize the fusion proteins. In order to neutralize Sarcosyl, Triton X-100 was then added to a final concentration of 5%. Insoluble material was removed by ultracentrifugation (1 hr, 4°C, 40,000 rpm, Ti70 rotor, Beckman Coulter Cat#337922). The fragments were immobilized onto glutathione Sepharose (Millipore/Cytiva Cat#17-5132-02) for 3 hr, washed three times with Buffer A (0.1% TX-100, 10 mM Tris–HCl, pH. 7.4) and incubated with affinity-purified His-tagged Pyk2 separately expressed in <italic>E. coli</italic> (3 hr, 4°C). Beads were washed three times in Buffer A and bound proteins were eluted and denatured in SDS sample buffer, resolved by SDS–PAGE and transferred to a nitrocellulose membrane. IB with anti-Pyk2 antibody (Millipore Cat#05-488; RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID/RRID:AB_2174219">AB_2174219</ext-link>) was used to detect Pyk2 binding during pulldown.</p></sec><sec id="s4-4-7"><title>Analysis of phosphorylation in PC12 cells</title><p>Drugs were used at the following concentrations: 2 µM PMA (Merck Millipore Cat#524400), 1 µM BK (Sigma-Aldrich Cat#05-23-0500), 3 µM PF-431396 (Tocris Cat#4278), 10 µM PP2 (Sigma-Aldrich Cat#P0042), 10 µM PP3 (Tocris Cat#2794), and 10 µM SU6656 (Sigma-Aldrich Cat#S9692).</p><p>For phospho-tyrosine analysis PC12 cells were washed after drug treatment twice in ice-cold phosphate-buffered saline (PBS) containing 1 mM pervanadate and 25 mM NaF. Samples were collected in PBS containing pervanadate, NaF, and protease inhibitors (see above), sonicated and extracted with SDS dissociation buffer (50 mM Tris–HCl, 1% SDS) at 65°C for 10 min. The SDS was neutralized with a fivefold excess of Buffer A containing phosphatase and protease inhibitors. 500 μg of total protein from PC12 cell extracts were incubated over night at 4°C with 2 μg of the phospho-tyrosine 4G10 (Sigma-Alrich/Upstate Cat# 05-321; RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID/RRID:AB_2891016">AB_2891016</ext-link>) or mouse control antibody (Jackson Immunoresearch Cat#015-000-003) and 15 μl of Protein-G Sepharose (Millipore/Cytiva Cat#GE-17-0618-05), washed three times in ice-cold wash buffer (0.1% Triton X-100 in 150 mM NaCl, 10 mM EDTA, 10 mM EGTA, 10 mM Tris, pH 7.4), resolved by SDS–PAGE and transferred onto PVDF membranes for IB. The antibody dilutions used are listed in <xref ref-type="supplementary-material" rid="supp2">Supplementary file 2</xref>. For re-probing, blots were stripped in 62.5 mM Tris-Cl, 20 mM dithiothreitol (DTT), and 2% SDS at 50°C for 30 min. Chemiluminescence immunosignals were quantified using ImageJ (<xref ref-type="bibr" rid="bib113">Rueden et al., 2017</xref>) by multiple film exposures of increasing length to ensure signals were in the linear range (<xref ref-type="bibr" rid="bib32">Davare and Hell, 2003</xref>; <xref ref-type="bibr" rid="bib55">Hall et al., 2006</xref>). Variations in total amounts of α<sub>1</sub>1.2, Pyk2, and Src in the different PC12 cell lysates were monitored by direct IB of lysate aliquots. Lysate signals were used to correct α<sub>1</sub>1.2 signals after 4G10 IP for such variations by dividing the latter by the former.</p></sec><sec id="s4-4-8"><title>Lentiviral constructs for shRNA to Pyk2 and Src</title><p>A list of all shRNA target sequences is provided in <xref ref-type="supplementary-material" rid="supp3">Supplementary file 3</xref>. The shRNA sequence Sh1 against Pyk2 has been validated for Pyk2 knockdown (<xref ref-type="bibr" rid="bib116">Sayas et al., 2006</xref>). The Sh1 sequence was cloned in the reverse orientation into the MfeI site of the lentiviral transfer vector pVETL-eGFP (<xref ref-type="bibr" rid="bib5">Bartos et al., 2010</xref>; <xref ref-type="bibr" rid="bib17">Boudreau and Davidson, 2012</xref>; <xref ref-type="bibr" rid="bib58">Harper et al., 2006</xref>) for expression of Pyk2 shRNA and GFP to visualize infection. All HIV plasmids (HIV-GFP-Pyk2shA-D; HIV-GFP-SrcshA-D) for knocking down rat Pyk2 or Src as well as the scrambled, non-silencing hairpin control (HIV-GFP-shscr) were obtained from Origene (Cat# TL710108 and #TL711639). All expression plasmids (listed in <xref ref-type="supplementary-material" rid="supp4">Supplementary file 4</xref>) were confirmed by DNA sequencing.</p></sec><sec id="s4-4-9"><title>Production of lentivirus for Pyk2 and Src knockdown</title><p>HEK293T/17 (ATCC Cat# CRL-11268, RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID/RRID:CVCL_1926">CVCL_1926</ext-link>) cells were plated onto 10 cm dishes at 1.8 × 10<sup>6</sup> cells per dish and maintained until confluency (60–90%). Cells were transiently transfected with viral expression constructs using the calcium phosphate precipitation method (<xref ref-type="bibr" rid="bib72">Jordan et al., 1996</xref>). For FIV virus production, cells were transfected in a 3:2:1 ratio of parental vector (pVETL, FIV 3.2): pCPRD-Env: pCI-VSVG for a total of 24 μg of DNA per plate. For production of HIV viral particles targeting Src and Pyk2, cells were transfected at a ratio of 5:2:2:2 of parental vector (e.g., pGFP-Pyk2-shC-Lenti:pCI-VSVG:pMDL g/p RRE:pRSV-REV) according to the manufacturer’s guidelines (OriGene). Media was exchanged 16 hr after transfection. Media containing the packaged recombinant virus was collected at 48 and 72 hr, filtered through 0.45 μm filters, and concentrated by centrifugation (7400 × <italic>g</italic> for 16 hr at 4°C). The viral pellet was resuspended in ice-cold PBS, aliquoted and stored at −80 °C. Before use for transduction of PC12 cells all viral particle solutions were titered in the HT-1080 cell line (ATCC Cat#CCL-121; RRID:<ext-link ext-link-type="uri" xlink:href="https://identifiers.org/RRID/RRID:CVCL">CVCL</ext-link> 0317) by seeding 12-well plates at 5 × 10<sup>4</sup> cells per well 1 day before infection. 1, 5, and 10 μl of solutions containing concentrated HIV or FIV particles was added to each well and expression of GFP was monitored for 72 hr post-infection before titer was calculated.</p></sec><sec id="s4-4-10"><title>Slice preparation and electrophysiology</title><p>After decapitation, brains were removed from 13- to 18-week-old mice. 400-μm-thick transverse slices were made using a vibratome in cold, oxygenated (95% O<sub>2</sub> and 5% CO<sub>2</sub>) dissection buffer (in mM: 87 NaCl, 2.5 KCl, 1.25 NaH<sub>2</sub>PO<sub>4</sub>, 26.2 NaHCO<sub>3</sub>, 25 glucose, 0.5 CaCl<sub>2</sub>, 7 MgCl<sub>2</sub>, 50 sucrose). Slices were allowed to recover at room temperature for at least 1 hr in oxygenated artificial cerebrospinal fluid (ACSF) (in mM: 119 NaCl, 3 KCl, 2.5 CaCl<sub>2</sub>, 1.25 NaH<sub>2</sub>PO<sub>4</sub>, 1.3 MgSO<sub>4</sub>, 26 NaHCO<sub>3</sub>, 11 glucose). Following recovery, slices were transferred to a recording chamber and maintained at 32–33°C in oxygenated ACSF. Field excitatory postsynaptic potential (fEPSP) was evoked by stimulating the Schaffer collateral pathway using bipolar electrode, and synaptic responses were recorded with ACSF-filled microelectrodes (1–10 MΩ) placed in the stratum radiatum of CA1 region. Recordings were acquired using an Axoclamp-2B amplifier (Axon Instruments) and a Digidata 1332 A digitizer (Axon Instruments). Baseline responses were collected at 0.07 Hz with a stimulation intensity that yielded 40–50% of maximal response. LTP was induced by four episodes of 200 Hz stimulation (0.5 s) with 5-s intervals. To measure LTCC-mediated LTP, 50 μM D-APV (Tocris Cat#0106) was included in ACSF. When used the inhibitors [10 μM nimodipine (Bayer Charge: BXR4H3P), 1 μM prazosin, 1 μM PF-719 (<xref ref-type="bibr" rid="bib130">Tse et al., 2012</xref>), and 10 μM PP2] were added to ACSF from the start of the recording. PHE (10 μM) was added after at least 15 min of stable baseline, and LTP was induced ~10 min after the addition of PHE.</p></sec></sec><sec id="s4-5"><title>Quantification and statistical analysis</title><p>Statistical analyses were performed using Prism 5 or 9 (GraphPad). Data are presented as mean ± standard error of the mean. Sample sizes, p values, and statistical tests are indicated in the figure legends. For analysis of channel NPo (<xref ref-type="fig" rid="fig1">Figures 1</xref>—<xref ref-type="fig" rid="fig3">3</xref>, <xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1</xref>, <xref ref-type="fig" rid="fig3s1">Figure 3—figure supplement 1</xref>), first outliers were identified using iterative Grubb’s method inbuilt in Prism. Then, statistical significance was determined using one-way analysis of variance (ANOVA) with post hoc Holm–Sidak’s multiple comparisons test. For analysis of specifically Po (<xref ref-type="fig" rid="fig4">Figures 4</xref>—<xref ref-type="fig" rid="fig6">6</xref>), data were tested either by an unpaired or paired Student’s <italic>t</italic>-test. For significance testing with more than two groups, a one-way ANOVA with additional Bonferroni correction was applied, p &lt; 0.05%. For analysis of protein phosphorylation, statistical significance was determined using ANOVA with post hoc Bonferroni’s multiple comparisons test (<xref ref-type="fig" rid="fig8">Figures 8</xref>—<xref ref-type="fig" rid="fig10">10</xref>). For analysis of LTP (<xref ref-type="fig" rid="fig11">Figure 11</xref>), a one-way ANOVA was applied followed by Bonferroni correction.</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-group><fn-group content-type="author-contribution"><title>Author contributions</title><fn fn-type="con" id="con1"><p>Conceptualization, Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing - original draft, Project administration, Writing – review and editing</p></fn><fn fn-type="con" id="con2"><p>Data curation, Formal analysis, Validation, Visualization, Methodology, Writing – review and editing</p></fn><fn fn-type="con" id="con3"><p>Resources, Data curation, Formal analysis, Funding acquisition, Validation, Investigation, Methodology</p></fn><fn fn-type="con" id="con4"><p>Data curation, Formal analysis, Validation, Visualization, Methodology</p></fn><fn fn-type="con" id="con5"><p>Data curation, Formal analysis, Validation, Investigation, Methodology</p></fn><fn fn-type="con" id="con6"><p>Data curation, Formal analysis, Investigation, Methodology</p></fn><fn fn-type="con" id="con7"><p>Data curation, Methodology</p></fn><fn fn-type="con" id="con8"><p>Data curation, Methodology, Writing – review and editing</p></fn><fn fn-type="con" id="con9"><p>Data curation, Funding acquisition, Methodology, Writing – review and editing</p></fn><fn fn-type="con" id="con10"><p>Conceptualization, Resources, Data curation, Formal analysis, Supervision, Validation, Investigation, Visualization, Methodology, Writing - original draft, Project administration, Writing – review and editing</p></fn><fn fn-type="con" id="con11"><p>Conceptualization, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing - original draft, 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 procedures followed NIH guidelines and had been approved by the Institutional Animal Care and Use Committees (IACUC) at UC Davis (Protocol #20673 and #22403).</p></fn></fn-group></sec><sec sec-type="supplementary-material" id="s6"><title>Additional files</title><supplementary-material id="supp1"><label>Supplementary file 1.</label><caption><title>Amino acid residues of fragments of intracellular loops of Ca<sub>V</sub>1.2 α<sub>1</sub>-subunit used in GST pulldown studies.</title></caption><media xlink:href="elife-79648-supp1-v2.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="supp2"><label>Supplementary file 2.</label><caption><title>Antibody dilutions used for immunoblotting.</title></caption><media xlink:href="elife-79648-supp2-v2.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="supp3"><label>Supplementary file 3.</label><caption><title>shRNA sequences targeting rat Pyk2 and Src.</title></caption><media xlink:href="elife-79648-supp3-v2.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="supp4"><label>Supplementary file 4.</label><caption><title>Sequencing primers for validation of knockdown constructs.</title></caption><media xlink:href="elife-79648-supp4-v2.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="mdar"><label>MDAR checklist</label><media xlink:href="elife-79648-mdarchecklist1-v2.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material></sec><sec sec-type="data-availability" id="s7"><title>Data availability</title><p>Raw datasets are available on Dryad (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.25338/B86G9K">https://doi.org/10.25338/B86G9K</ext-link>).</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>Man</surname><given-names>K</given-names></name><name><surname>Bartels</surname><given-names>P</given-names></name><name><surname>Henderson</surname><given-names>PB</given-names></name><name><surname>Kim</surname><given-names>K</given-names></name><name><surname>Shi</surname><given-names>M</given-names></name><name><surname>Zhang</surname><given-names>M</given-names></name><name><surname>Ho</surname><given-names>S</given-names></name><name><surname>Nieves-Cintron</surname><given-names>M</given-names></name><name><surname>Navedo</surname><given-names>MF</given-names></name><name><surname>Horne</surname><given-names>MC</given-names></name><name><surname>Hell</surname><given-names>JW</given-names></name></person-group><year iso-8601-date="2023">2023</year><data-title>Raw data for Manuscript entitled &quot;Alpha-1 adrenergic receptor - PKC - Pyk2 - Src signaling boosts L-type Ca2+ channel Cav1.2 activity and long-term potentiation in rodents&quot;</data-title><source>Dryad Digital Repository</source><pub-id pub-id-type="doi">10.25338/B86G9K</pub-id></element-citation></p></sec><ack id="ack"><title>Acknowledgements</title><p>We thank Dr. Stephen Strittmatter (Yale University) for providing PF-719. Dr. K Man executed the electrophysiological recordings shown in <xref ref-type="fig" rid="fig1">Figures 1</xref>—<xref ref-type="fig" rid="fig3">3</xref>; Dr. P Bartels executed the electrophysiological recordings shown in <xref ref-type="fig" rid="fig4">Figures 4</xref>—<xref ref-type="fig" rid="fig6">6</xref>; Drs. Mei Shi and Mingxu Zhang performed the biochemical analysis in <xref ref-type="fig" rid="fig7">Figure 7</xref>; Dr. Peter Henderson performed the biochemical analysis in <xref ref-type="fig" rid="fig8">Figures 8</xref>—<xref ref-type="fig" rid="fig10">10</xref>; Dr. Karam Kim performed the LTP measurements in <xref ref-type="fig" rid="fig11">Figure 11</xref>. 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specific-use="editor">Reviewing Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02qg15b79</institution-id><institution>Okinawa Institute of Science and Technology</institution></institution-wrap><country>Japan</country></aff></contrib></contrib-group><related-object id="sa0ro1" object-id-type="id" object-id="10.1101/2022.07.01.498400" link-type="continued-by" xlink:href="https://sciety.org/articles/activity/10.1101/2022.07.01.498400"/></front-stub><body><p>This study reports of a new signaling pathway in hippocampal neurons by which α<sub>1</sub> receptors for norepinephrine regulate Cav1.2 calcium channels; activation of α<sub>1</sub> receptors enhances a form of long-lasting synaptic plasticity that is dependent on L-type calcium channels. The experiments are comprehensive and well-executed, and the main conclusions are compellingly supported by the data shown. The work has significance for the field of neuroscience in general and for cellular mechanisms of neuroregulation in particular.</p></body></sub-article><sub-article article-type="decision-letter" id="sa1"><front-stub><article-id pub-id-type="doi">10.7554/eLife.79648.sa1</article-id><title-group><article-title>Decision letter</article-title></title-group><contrib-group content-type="section"><contrib contrib-type="editor"><name><surname>Goda</surname><given-names>Yukiko</given-names></name><role>Reviewing Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02qg15b79</institution-id><institution>Okinawa Institute of Science and Technology</institution></institution-wrap><country>Japan</country></aff></contrib></contrib-group></front-stub><body><boxed-text id="sa2-box1"><p>Our editorial process produces two outputs: i) <ext-link ext-link-type="uri" xlink:href="https://sciety.org/articles/activity/10.1101/2022.07.01.498400">public reviews</ext-link> designed to be posted alongside <ext-link ext-link-type="uri" xlink:href="https://www.biorxiv.org/content/10.1101/2022.07.01.498400v1">the preprint</ext-link> for the benefit of readers; ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.</p></boxed-text><p><bold>Decision letter after peer review:</bold></p><p>Thank you for submitting your article &quot;α1 adrenergic receptor -PKC -Pyk2 -Src signaling boosts L-type ca<sup>2+</sup> channel Cav1.2 activity and long-term potentiation in rodents&quot; for consideration by <italic>eLife</italic>. Your article has been reviewed by 3 peer reviewers, and the evaluation has been overseen by a Reviewing Editor and Gary Westbrook as the Senior Editor. The reviewers have opted to remain anonymous.</p><p>The reviewers consider the study to be important in identifying a novel signaling pathway involving norepinephrine with consequences on synaptic plasticity, although some key points needing further clarifications that may require some additional experiments and/or modification of the conclusions. The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.</p><p>Essential revisions:</p><p>1) Please provide further clarification of whether and how the linker domains II and III act in mediating Pyk2 and Src activation of Cav1.2, for example, by identifying the phosphorylation site and demonstrating its necessity by introducing a mutation.</p><p>2) Please confirm that the same pathway is targeted between PC12 cells and hippocampal neurons by testing whether bradykinin elicits the same response in hippocampal neurons.</p><p>3) Please provide additional evidence for the claim that alpha1-AR agonist increases Po by ruling out an increase in N caused e.g. by a rapid channel insertion to the membrane surface.</p><p>4) Clarify the basis for an apparent baseline modulation of channel activity by the alpha1-AR pathway that is revealed by the effects of inhibitors (Figures 2B, 2D).</p><p>In addition, please fully address all the comments raised by the three reviewers involving quantification of data, replacing of immunoblot in Figure 4B, addition of a schematic figure, and clarification/editing of the text.</p><p><italic>Reviewer #1 (Recommendations for the authors):</italic></p><p>1) My main critique would be that the study, while very well executed and rigorous, is fragmented, consisting of three parts that each feel incomplete: i, hippocampal neuron studies, mainly single channel recordings; ii, biochemical studies mainly in PC12 cells, using a different agonist bradykinin, and iii, the examination of LTP in young mice.</p><p>2) Does Norepinephrine activate this pathway in hippocampal neurons? This should be testable given the high affinity for NE of the α1-AR (line 487).</p><p>3) The single channel recordings cannot distinguish between L-type channels cav1.2 and cav1.3. This would require the use of selective knockout mice.</p><p>4) Patches identified to contain only one channel should be used to determine conclusively whether N and/or Po is increased by the α1-AR agonist Phe. This could be done by BayK8644 application at the end of the experiment, for example, as well as data mentioned at line 116. At the moment this cannot be conclusively stated that Po is increased.</p><p>5) Line 147, it is unclear why other Gq coupled receptors do not affect this pathway in hippocampal neurons. This is problematic as the study goes on to use bradykinin, rather than an α1-AR agonist in PC12 cells to dissect the pathway (Figure 5 onwards). Does bradykinin stimulate this pathway in hippocampal neurons?</p><p>6) If the same pathway is present in PC12 cells then the α1-AR should be expressed in these cells, rather than using bradykinin.</p><p>7) It is unclear why PP2 inhibits NPo and ensemble average current far below the baseline control (Figures2B and 2D), whereas SU6656 does not. This suggests non-specificity.</p><p>8) The II-III linker is identified as a binding site for Pyk2; but where are the src phosphorylation sites on CaV1.2 specifically mediating this effect? This needs to be identified, otherwise it is possible that the effect is not direct.</p><p>9) A diagram of the pathway is important to add, preferably in each figure, to show where every drug is supposed to act.</p><p><italic>Reviewer #2 (Recommendations for the authors):</italic></p><p>Overall, the work is carefully carried out but there are a few pitfalls, where information lacking. I suggest the authors to address these issues.</p><p>1. The pathway from PKC/ca<sup>2+</sup>, Pyk2, to Src has been already reported more than 20 years ago (see, for example, Sabri et al., Circ. Res 1998 and reference therein). But in this paper, the mechanism how noradrenaline activates Pyk2 through PKC is not known. Also the authors stated that phosphorylation of alpha11.2 by PKC inhibits Cav1.2 activity (52). Why this pathway is not active here?</p><p>2. The mechanism how Src activates Cav1.2 is not clear. The authors should make more effort to identify the site and use a mutant to show that it abolishes the increase in the channel activity. They discussed possible tyrosine phosphorylation at Y2122 but they did not confirm this. Also, this residue is located at the very end of protein, far away from the channel. It is not clear how it modulates the channel activity, if it has any function.</p><p><italic>Reviewer #3 (Recommendations for the authors):</italic></p><p>The authors should consider adding experiments that show whether the linker between domains II and III is indeed the site of regulation.</p><p>Editorial Points</p><p>Lines 203-207. These sentences are a bit garbled. Please revise.</p><p>Lines 272-273. Better wording would be..&quot;binds via phosphoY402 to the SH2 domain&quot;.</p><p>Line 503. Better wording would be &quot;regulate through&quot;.</p></body></sub-article><sub-article article-type="reply" id="sa2"><front-stub><article-id pub-id-type="doi">10.7554/eLife.79648.sa2</article-id><title-group><article-title>Author response</article-title></title-group></front-stub><body><disp-quote content-type="editor-comment"><p>Essential revisions:</p><p>1) Please provide further clarification of whether and how the linker domains II and III act in mediating Pyk2 and Src activation of Cav1.2, for example, by identifying the phosphorylation site and demonstrating its necessity by introducing a mutation.</p></disp-quote><p>The relevance of Pyk2 binding to loop II/III lies in the general concept that frequently kinase signaling cascades depend on close proximity of the kinase with the target, often through direct binding. The exact binding sequence might not be close to the location of the phosphorylation site in the linear sequence because the 3-dimensional folding could bring binding and phosphorylation sites close together even if far apart in the linear sequence. Accordingly, loop II/III might not harbor the phosphorylation site, which could be anywhere in the primary sequence of the channel. Thus, identification of the phosphorylation site would likely take significantly longer than one year and without a reasonable level of guarantee of success.</p><p>However, along the lines of the Reviewers’ notion to try and define more precisely binding sites and mechanisms for further mechanistic work on Pyk2 interacting with Cav1.2 and specifically loop II/III, we ordered six overlapping fluorescein-tagged peptides that covered the whole loop II/III segment. We attempted binding studies based on fluorescence polarization, as has worked for a number of other binding sites for us in the past. Unfortunately, none of the peptides showed specific binding. Perhaps the binding region is more complex than a simple ~ 20 residue long linear segment, possibly being significantly longer or consisting of multiple short, discontinuous attachment sites that are more than several residues apart but brought together by the three-dimensional folding of loop II/III.</p><disp-quote content-type="editor-comment"><p>2) Please confirm that the same pathway is targeted between PC12 cells and hippocampal neurons by testing whether bradykinin elicits the same response in hippocampal neurons.</p></disp-quote><p>We used the PC12 cell system for our biochemical analysis because such biochemical analysis in hippocampal cultures is impossible due to material limitation. We simply would not be able to grow enough primary hippocampal cultures for this biochemical analysis. PC12 cells have a very strong presence of both, Cav1.2 and Pyk2. They, thus, constitute a perfect system for the biochemical analysis of Pyk2 signaling to Cav1.2. In fact, Pyk2 was first identified and characterized in PC12 cells (e.g., Lev et al., 2005: Nature 376, 737-745; Dikic et al., 2006: Nature 383, 547-549).</p><p>The rationale behind analyzing different GPCRs is that different cell types can harbor different sets of GPCRs that are coupled to Gq-PKC signaling. Stimulating Gq – PKC ‘signaling modules’ like the Gq – PKC – Pyk2 – Src module should be transferable between cell types if they share this module even if it would be engaged by different GqPCRs, like the bradykinin receptor versus α 1 AR. In addition, we went to great length in our work to also directly stimulate PKC with the phorbol ester PMA in hippocampal neurons to observe and characterize the increase in LTCC activity and in PC12 cells to observe and characterize the increase in tyrosine phosphorylation. All of these effects were inhibited by Pyk2 and Src inhibitors.</p><p>Nevertheless, expression of the Gq-coupled bradykinin receptors is quite prominent in hippocampal neurons. We tested whether their activation would also augment LTCC activity in hippocampal neurons and now report that there is a clear and strong increase in Po in Figure 6.</p><p>In these experiments we added BayK8644 at the end of the recording (as suggested by Reviewer 1, #4), which is expected to further upregulate the currents under our cell-attached patch electrode if those are mediated by LTCCs, which was consistently the case (Figure 6). This approach allowed us to confirm the identity of the channels in the patches as L-type and aided in determining the number of channels N in each patch.</p><disp-quote content-type="editor-comment"><p>3) Please provide additional evidence for the claim that alpha1-AR agonist increases Po by ruling out an increase in N caused e.g. by a rapid channel insertion to the membrane surface.</p></disp-quote><p>We now provide more data that support an increase in Po versus N by first forming a cell-attached seal, which isolates the small surface area from which single-channel activity is recorded, and then apply PHE. This acute application of PHE avoids delays in recording as happening when PHE is bath applied before the recording pipette is attached to the cell during which time new channels could have been inserted (Figure 4).</p><p>The acute PHE application in these new experiments induced a fast increase in the activity of Cav1.2 channels isolated under the pre-formed patch, arguing that this increase is really due to an increase in Po rather than insertion of new channels into the patch, which appears unlikely in this configuration due to spatial restrains and the time course with which the increase in channel activity happens. Furthermore, we used a recoding pipette with a much smaller diameter than in our original work (resistance of pipets used in our original recordings was 3.5-5.5 MOhm and in these new experiments it was 7-12 MOhm). The reduction in diameter results in patches that contain typically &lt;4 channels, which is required for reliably determining the channel number N whereas the original recordings often contained &gt;4 channels and thus cannot truly be analyzed for N versus Po. To increase our confidence in our capability to count all channels we added BayK8644 at the end of the recordings in one set of experiments (i.e., the bradykinin stimulation; Figure 6).</p><p>At the same time, and cautioned by the Reviewers’ comments, we do not want to rule out that there is also an effect of alpha1 AR signaling on channel number N in our original experiments in which cells were pre-treated with PHE or PKC activators before forming the seal. We are now using a more carefully worded interpretation of these original experiments leaving open the possibility that in these initial experiments we also could have had an effect on N. However, we would like to re-emphasize that our new data leave little room for doubt that PHE augments channel activity at least in part by increasing Po.</p><disp-quote content-type="editor-comment"><p>4) Clarify the basis for an apparent baseline modulation of channel activity by the alpha1-AR pathway that is revealed by the effects of inhibitors (Figures 2B, 2D).</p></disp-quote><p>We now explicitly state in the Discussion: “Inhibitors of PKC, Pyk2, and Src reduce under nearly all conditions Cav1.2 baseline activity and also tyrosine phosphorylation of Cav1.2, Pyk2, and Src even when activators for alpha1 AR and PKC were present. Especially notable is the strong reduction of channel activity way below the control conditions by the Src inhibitor PP2 as well as the PKC inhibitor chelerythrine in Figure 2C. This effect is consistent with PP2 strongly reducing down below control conditions tyrosine phosphorylation of Src (Figure 8J), Pyk2 (Figure 8L), and Cav1.2 (Figure 9E) even with the PKC activator PMA present. These findings suggest that Pyk2 and Src experience significant although clearly by far not full activation under basal conditions as reflected by their own phosphorylation status, which translates into tyrosine phosphorylation of Cav1.2 under such basal conditions.” Because there are multiple ways Pyk2 and Src can be activated including Ca influx and cell-matrix interactions, defining the cause of this baseline activity has to remain beyond the scope of the current work.</p><disp-quote content-type="editor-comment"><p>In addition, please fully address all the comments raised by the three reviewers involving quantification of data, replacing of immunoblot in Figure 4B, addition of a schematic figure, and clarification/editing of the text.</p></disp-quote><p>Please note that association of Src with Cav1.2 had previously been described by several authors. To ensure that the reader understands that our Src coIP with Cav1.2 is only confirmatory we now state explicitly: “We also confirmed earlier work (Figure 7A bottom panel) that indicated association of Src with Ca<sub>V</sub>1.2 in vitro (Bence-Hanulec et al., 2000; Endoh, 2005; Gui et al., 2006; Hu et al., 1998; Strauss et al., 1997; Wu et al., 2001) and in intact cells (Bence-Hanulec et al., 2000; Chao et al., 2011; Hu et al., 1998).” Also, we now provide the uncropped immunoblot for Figure 7B, which shows more convincingly that there is a clear band for the Src immunosignal.</p><disp-quote content-type="editor-comment"><p>Reviewer #1 (Recommendations for the authors):</p><p>1) My main critique would be that the study, while very well executed and rigorous, is fragmented, consisting of three parts that each feel incomplete: i, hippocampal neuron studies, mainly single channel recordings; ii, biochemical studies mainly in PC12 cells, using a different agonist bradykinin, and iii, the examination of LTP in young mice.</p></disp-quote><p>We would argue that both, the single-channel data and biochemical data, are at a level of completion that is by itself appropriate for <italic>eLife</italic>, each characterizing a multistep signaling pathway with agonists and antagonists and also shRNA addressing each step in the signaling cascade. The LTP studies are meant to put the signaling pathway we characterized in hippocampal neurons into a larger, network level context by testing effects of key treatment conditions as established for the single-channel and tyrosine phosphorylation data.</p><disp-quote content-type="editor-comment"><p>2) Does Norepinephrine activate this pathway in hippocampal neurons? This should be testable given the high affinity for NE of the α1-AR (line 487).</p></disp-quote><p>We now provide data that show that application of NE after seal formation and after establishing a baseline activity also augments LTCC Po to the same extent as PHE does (compare new Figure 4A-D with new Figure 4E-H). Cav1.2 activity can also be increased by beta2 AR signaling (but not beta1 AR signaling) (Qian et al., 2017: Sci Signal 10, eaaf9659; see also Patriarchi et al., 2016: EMBO J 35, 1330-1345). This upregulation by beta2 AR stimulation is strictly mediated by localized signaling from the b2 AR to Cav1.2 and cannot be engaged when the b2 adrenergic agonist is applied from the outside of the cell attached patch formed by the recoding electrode (Davare et al., 2001: Science 293, 98-101, as cited). Thus, the increase in Po upon bath application of NE after seal formation suggests that NE as the cognate ligand for alpha1 AR can stimulate Cav1.2 activity to the same degree as PHE.</p><disp-quote content-type="editor-comment"><p>3) The single channel recordings cannot distinguish between L-type channels cav1.2 and cav1.3. This would require the use of selective knockout mice.</p></disp-quote><p>It is possible that the alpha1AR signaling also regulates Cav1.3 but Cav1.3 only constitutes ~20% when Cav1.2 constitutes ~80% of all L-type channels in hippocampus (Hell et al., 1993: JCB 123, 949-962; Sinnegger-Brauns et al., 2004: J Clin Invest 113, 1030-1439). Accordingly, it seems hard to imagine that the observed effects on LTCC activity could be explained solely by upregulation of Cav1.3, which would have to be extremely high to solely explain an increase in Po by 3- to 4-fold as seen in Figure 1B. With Cav1.3 only contributing 20% of the activity, this activity would have to be increased by well over 10-fold to explain an overall increase of Po of all L-type channels by twofold if the effect is solely via Cav1.3. It would be very involving to obtain conditional Cav1.2 KO mice to further prove this point and likely take well beyond one year given that we would have to import appropriate floxed mice to UC Davis (which often takes 6 months by itself, given paperwork and regulations) and then set up the breeding scheme. A full KO of Cav1.2 would in theory be easier to set up but is embryonically lethal.</p><disp-quote content-type="editor-comment"><p>4) Patches identified to contain only one channel should be used to determine conclusively whether N and/or Po is increased by the α1-AR agonist Phe. This could be done by BayK8644 application at the end of the experiment, for example, as well as data mentioned at line 116. At the moment this cannot be conclusively stated that Po is increased.</p></disp-quote><p>To get patches with a single channel are very rare. Figures 1, 2, and 3 are based on a total of 295 recordings under the various conditions conducted over more than 3 years. Of all of these recordings, only 21 (7%) had a single channel active at any point in time perhaps reflecting that only a single activatable channel was present in the patch. The rest (93%) of all recordings had at least 2 and typically more channels. Accordingly, it is impossible to limit analysis to patches with single channels in these experiments.</p><p>The new experiments described in response to Essential revisions point #3 (i.e., PHE increases Po when acutely applied from outside the recording electrode; Figure 4) indicates that we can detect an increase in Po when PHE is applied after seal formation. This approach complements the previous experiments when PHE was pre-applied before seal formation when more channels could be inserted into the plasma membrane during the time period between the start of the drug treatment and seal formation. In addition, we used in these new experiments recording pipettes with a smaller diameter (resistance was increased from originally 3.5-5.5 to 7-12 MOhm in these experiments), which typically yields between 1-4 channels. To confirm that the new recording conditions did typically not yield more than 4 channels, BayK8644 was added at the end of the recordings in one set of experiments (Figure 6) to ensure that our quantification of channel number N is accurate and complete. Accordingly, this approach allowed us to define patches with &lt;4 channels for which we can reliably extract N and thereby also Po. Thus, we can now be certain that PHE specifically augments Po and not more generally NPo.</p><disp-quote content-type="editor-comment"><p>5) Line 147, it is unclear why other Gq coupled receptors do not affect this pathway in hippocampal neurons. This is problematic as the study goes on to use bradykinin, rather than an α1-AR agonist in PC12 cells to dissect the pathway (Figure 5 onwards). Does bradykinin stimulate this pathway in hippocampal neurons?</p></disp-quote><p>We now document that bradykinin can augment Po of LTCC in hippocampal neurons (new Figure 6). Please see response to Essential revisions point #2 for additional details.</p><disp-quote content-type="editor-comment"><p>6) If the same pathway is present in PC12 cells then the α1-AR should be expressed in these cells, rather than using bradykinin.</p></disp-quote><p>Systematic radioligand binding studies and functional stimulation assays did not detect any evidence for the presence of any adrenergic receptor subtypes in PC12 cells (neither alpha1, alpha2 or β AR; Williams et al., 1998: J Biol Chem 273, 24624-24632). In fact, this publication and several subsequent studies reported the use of PC12 cells to heterologously express AR subtypes to study the signaling mechanisms and functional effects of individual subtypes (e.g., Zhong and Minnemann, 1999: J Neurochem 72, 2388-2396; Olli-Lähdesmäki et al., 1999: J Neurosci. 19, 9281-9288). This strategy speaks to the relevance of the concept of ‘transposable’ signaling modules between different GqPCRs, which can engage PKC-Pyk2-Src signaling with the trimeric Gq – phospholipase C β – PKC module being the common denominator that then triggers the rest of the cascade in some but may be not all contexts.</p><p>Because our main goal is to define how Cav1.2 is regulated in neurons, for the revision we opted to test Bradykinin in neurons, as suggested by the Reviewing Editor. Also, we had tested in both experimental systems the effect of direct PKC activation by the phorbol ester PMA and of the different Pyk2 and Src inhibitors with completely congruent results (for details, please see response to point #2 by the Reviewing Editor).</p><disp-quote content-type="editor-comment"><p>7) It is unclear why PP2 inhibits NPo and ensemble average current far below the baseline control (Figures2B and 2D), whereas SU6656 does not. This suggests non-specificity.</p></disp-quote><p>This differential effect of PP2 versus SU6656 could hint that Src is not the only Src family kinase (SFK) that is involved with other SFKs perhaps also playing a role as they have different sensitivities to PP2 and SU6656 (see, e.g., Blake et al., 2000: Mol Cell Biol. 20, 9018-9027; Bain et al., 2007: Biochem J 408, 297-315). However, this effect was not consistently observed. In detail, the PP2 effect is not as strong and the SU6656 stronger in Figure 3 compared to Figure 2 (although both inhibitors reduce Po below baseline levels in both figures). These observations are potentially reflecting some experimental or biological variability between experiments as these data were collected over a long time period (&gt;3 years) because these experiments are very time consuming and dependent on, among other factors, obtaining good hippocampal cultures and having very low electric noise in the recording cage, both of which are not trivial. This variability provides an alternative explanation to the notion that another SFK member could be involved.</p><disp-quote content-type="editor-comment"><p>8) The II-III linker is identified as a binding site for Pyk2; but where are the src phosphorylation sites on CaV1.2 specifically mediating this effect? This needs to be identified, otherwise it is possible that the effect is not direct.</p></disp-quote><p>Although Gq-PKC-Pyk2-Src signaling clearly induces tyrosine phosphorylation of the Cav1.2 alpha1 subunit, we cannot exclude that our effects on Po are indirect, i.e., through phosphorylation of another subunit or channel component. However, we feel that the Po effects are of strong functional interest, whether due to direct or indirect phosphorylation. The biochemical work provides now impetus that justifies testing whether phosphorylation of Cav1.2 is mediating the functional effect (we are currently applying for funding for continuation of this project). However, given the already huge time commitment of the current work it seems outside the scope of the current project to determine the relevant phosphorylation sites, which can take years.</p><p>As stated in response to Essential revisions point #1 we were not able to define a synthetic peptide derived from loop II/III that would bind Pyk2 and thus cannot use a peptide displacement approach to acutely test the relevance of Pyk2 binding to Loop II/III.</p><disp-quote content-type="editor-comment"><p>9) A diagram of the pathway is important to add, preferably in each figure, to show where every drug is supposed to act.</p></disp-quote><p>We now added a scheme to each figure to make it easier for readers to follow the pathways and experiment design and data interpretation.</p><disp-quote content-type="editor-comment"><p>Reviewer #2 (Recommendations for the authors):</p><p>Overall, the work is carefully carried out but there are a few pitfalls, where information lacking. I suggest the authors to address these issues.</p><p>1. The pathway from PKC/ca<sup>2+</sup>, Pyk2, to Src has been already reported more than 20 years ago (see, for example, Sabri et al., Circ. Res 1998 and reference therein). But in this paper, the mechanism how noradrenaline activates Pyk2 through PKC is not known. Also the authors stated that phosphorylation of alpha11.2 by PKC inhibits Cav1.2 activity (52). Why this pathway is not active here?</p></disp-quote><p>In addition to Sabri et al., 1998, the PKC-Pyk2-Src signaling cascade was first identified in PC12 cells (Lev et al., 1995: Nature 376, 737-745; Dikic et al., 1996: Nature 383, 547-549) but no previous work linked this signaling cascade to Ca channel regulation. The primary importance of our work is to define whether and how alpha1 AR signaling regulates Cav1.2 in neurons because norepinephrine is a key neuromodulator that governs attention and, at higher levels, stress responses. The role of alpha1 AR in regulating neuronal Cav1.2 is indicated by our finding that the alpha1 AR-selective agonist PHE increases Po and that this increase is blocked by the alpha1 AR-selective antagonist prazosin. Another important aspect is to define regulation of Cav1.2 by the PKC-Pyk2-Src cascade with PKC, Pyk2, and Src forming a signaling complex with Cav1.2 on a functional and biochemical level as discussed in the manuscript.</p><p>As we now point out explicitly in the Introduction, the sites for direct phosphorylation of Cav1.2 by PKC (S27 and S31) that inhibit channel activity (McHugh et al., 2000) (former Ref 52) are located in a differentially spliced exon that is prominently expressed in heart but not neurons as further detailed by (Snutch et al., 1991) to explain why PKC does not inhibit Cav1.2 in neurons. We state: “T27/T31 are not present in the most prevalent brain isoform due to alternative splicing (Snutch et al., 1991), thus the inhibitory effect of PKC on LTCC currents is typically absent in neurons and neural crest-derived PC12 cells, or in vascular smooth muscle (Navedo et al., 2005; Taylor et al., 2000).”</p><disp-quote content-type="editor-comment"><p>2. The mechanism how Src activates Cav1.2 is not clear. The authors should make more effort to identify the site and use a mutant to show that it abolishes the increase in the channel activity. They discussed possible tyrosine phosphorylation at Y2122 but they did not confirm this. Also, this residue is located at the very end of protein, far away from the channel. It is not clear how it modulates the channel activity, if it has any function.</p></disp-quote><p>Please see response to Essential revisions point #1 and point #7 of Reviewer 2. Y2122 is only seen in rodents but not present in other mammals including humans. Y2122 is, thus, unlikely to be a general major regulatory site, which we now discuss more explicitly. Furthermore, as the Reviewer points out, it is very distal to the channel. Finally, perhaps we should emphasize that determining regulation of Cav1.2 by either cAMP/PKA or Gq/PKC signaling has been hampered for the last 3 decades in the many different labs that had been working on these issues by not being able to consistently and reproducibly being able to reconstitute either regulatory mechanism for Cav1.2 in HEK293 or other cell lines (mostly personal communications from multiple PIs but see some primary data and discussion of this issue in our review Dai, Hall, and Hell 2009: Physiol Rev 89, 411-452; p420, left column; see also Man, Bartels, Horne, and Hell, 2020: Sci Signal 13, eabc6438). Accordingly, we cannot readily express WT and mutant Cav1.2 (Iike Y2122F) in HEK293 cells and test whether regulation by PKC-Pyk2-Src is affected or not.</p><disp-quote content-type="editor-comment"><p>Reviewer #3 (Recommendations for the authors):</p><p>The authors should consider adding experiments that show whether the linker between domains II and III is indeed the site of regulation.</p></disp-quote><p>Please see response to Essential revisions point #1 and #8 by Reviewer 1. Briefly, we attempted but were not able to identify shorter loopII/III-derived peptides that would constitute the Pyk2 binding site.</p><disp-quote content-type="editor-comment"><p>Editorial Points</p><p>Lines 203-207. These sentences are a bit garbled. Please revise.</p></disp-quote><p>We revised this section mostly by simplifying the statement, which now reads: “Kinases and proteins that regulate kinase activity are often found in complexes with their ultimate target proteins (i.e., their ultimate substrates) including different ion channels for efficient and specific signaling (Dai <italic>et al.</italic>, 2009; Dodge-Kafka <italic>et al.,</italic> 2006).”</p><disp-quote content-type="editor-comment"><p>Lines 272-273. Better wording would be …&quot;binds via phosphoY402 to the SH2 domain&quot;.</p></disp-quote><p>We revised this statement accordingly.</p><disp-quote content-type="editor-comment"><p>Line 503. Better wording would be &quot;regulate through&quot;.</p></disp-quote><p>We revised this statement accordingly.</p></body></sub-article></article>