<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN"  "JATS-archivearticle1-3-mathml3.dtd"><article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.3"><front><journal-meta><journal-id journal-id-type="nlm-ta">elife</journal-id><journal-id journal-id-type="publisher-id">eLife</journal-id><journal-title-group><journal-title>eLife</journal-title></journal-title-group><issn publication-format="electronic" pub-type="epub">2050-084X</issn><publisher><publisher-name>eLife Sciences Publications, Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">107745</article-id><article-id pub-id-type="doi">10.7554/eLife.107745</article-id><article-id pub-id-type="doi" specific-use="version">10.7554/eLife.107745.3</article-id><article-version article-version-type="publication-state">version of record</article-version><article-categories><subj-group subj-group-type="display-channel"><subject>Research Article</subject></subj-group><subj-group subj-group-type="heading"><subject>Immunology and Inflammation</subject></subj-group></article-categories><title-group><article-title>Depletion of extracellular asparagine impairs self-reactive T cells and ameliorates autoimmunity in a murine model of multiple sclerosis</article-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes"><name><surname>Georgiev</surname><given-names>Peter</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-4613-1255</contrib-id><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="equal-contrib1">†</xref><xref ref-type="fn" rid="con1"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" equal-contrib="yes"><name><surname>Johnson</surname><given-names>Sheila</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0001-5062-7934</contrib-id><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="equal-contrib1">†</xref><xref ref-type="fn" rid="con2"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author"><name><surname>Kurmi</surname><given-names>Kiran</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con3"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author"><name><surname>Hu</surname><given-names>Song-Hua</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="con4"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author"><name><surname>Han</surname><given-names>SeongJun</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="con5"/><xref ref-type="fn" rid="conf3"/></contrib><contrib contrib-type="author"><name><surname>Patterson</surname><given-names>Dillon</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="con6"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author"><name><surname>Nguyen</surname><given-names>Thao H</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="con7"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author"><name><surname>Huang</surname><given-names>Linglin</given-names></name><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="con8"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author"><name><surname>Liang</surname><given-names>Dan</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="con9"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author"><name><surname>Goldman</surname><given-names>Naomi</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="con10"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author"><name><surname>Conway</surname><given-names>Thomas</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="con11"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author"><name><surname>Creasey</surname><given-names>Hannah</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="con12"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author"><name><surname>Rowe</surname><given-names>Jared</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="aff" rid="aff4">4</xref><xref ref-type="fn" rid="con13"/><xref ref-type="fn" rid="conf2"/></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Haigis</surname><given-names>Marcia C</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0003-2530-2681</contrib-id><email>marcia_haigis@hms.harvard.edu</email><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="fn1">‡</xref><xref ref-type="other" rid="fund11"/><xref ref-type="other" rid="fund9"/><xref ref-type="other" rid="fund10"/><xref ref-type="fn" rid="con14"/><xref ref-type="fn" rid="conf4"/></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Sharpe</surname><given-names>Arlene H</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-9736-2109</contrib-id><email>Arlene_Sharpe@hms.harvard.edu</email><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="fn" rid="fn1">‡</xref><xref ref-type="other" rid="fund7"/><xref ref-type="other" rid="fund8"/><xref ref-type="fn" rid="con15"/><xref ref-type="fn" rid="conf5"/></contrib><aff id="aff1"><label>1</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/03vek6s52</institution-id><institution>Department of Immunology, Blavatnik Institute, Harvard Medical School</institution></institution-wrap><addr-line><named-content content-type="city">Boston</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/03vek6s52</institution-id><institution>Department of Cell Biology, Blavatnik Institute, Harvard Medical School</institution></institution-wrap><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff><aff id="aff3"><label>3</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/002pd6e78</institution-id><institution>Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital and Harvard Medical School</institution></institution-wrap><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff><aff id="aff4"><label>4</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02jzgtq86</institution-id><institution>Department of Pediatric Oncology, Dana-Farber Cancer Institute</institution></institution-wrap><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib-group><contrib-group content-type="section"><contrib contrib-type="editor"><name><surname>Kurosaki</surname><given-names>Tomohiro</given-names></name><role>Reviewing Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/035t8zc32</institution-id><institution>The University of Osaka</institution></institution-wrap><country>Japan</country></aff></contrib><contrib contrib-type="senior_editor"><name><surname>Taniguchi</surname><given-names>Tadatsugu</given-names></name><role>Senior Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/057zh3y96</institution-id><institution>The University of Tokyo</institution></institution-wrap><country>Japan</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><fn fn-type="other" id="fn1"><label>‡</label><p>Co-senior authors</p></fn></author-notes><pub-date publication-format="electronic" date-type="publication"><day>08</day><month>07</month><year>2026</year></pub-date><volume>14</volume><elocation-id>RP107745</elocation-id><history><date date-type="sent-for-review" iso-8601-date="2025-06-09"><day>09</day><month>06</month><year>2025</year></date></history><pub-history><event><event-desc>This manuscript was published as a preprint.</event-desc><date date-type="preprint" iso-8601-date="2025-06-11"><day>11</day><month>06</month><year>2025</year></date><self-uri content-type="preprint" xlink:href="https://doi.org/10.1101/2025.06.09.658561"/></event><event><event-desc>The reviewed preprint was revised.</event-desc><date date-type="reviewed-preprint" iso-8601-date="2025-09-12"><day>12</day><month>09</month><year>2025</year></date><self-uri content-type="reviewed-preprint" xlink:href="https://doi.org/10.7554/eLife.107745.1"/><self-uri content-type="referee-report" xlink:href="https://doi.org/10.7554/eLife.107745.1.sa1">Reviewer #1 (Public review):</self-uri><self-uri content-type="referee-report" xlink:href="https://doi.org/10.7554/eLife.107745.1.sa2">Reviewer #2 (Public review):</self-uri><self-uri content-type="author-comment" xlink:href="https://doi.org/10.7554/eLife.107745.1.sa3">Author response</self-uri></event><event><event-desc>The reviewed preprint was revised.</event-desc><date date-type="reviewed-preprint" iso-8601-date="2026-06-02"><day>02</day><month>06</month><year>2026</year></date><self-uri content-type="reviewed-preprint" xlink:href="https://doi.org/10.7554/eLife.107745.2"/><self-uri content-type="referee-report" xlink:href="https://doi.org/10.7554/eLife.107745.2.sa1">Reviewer #1 (Public review):</self-uri><self-uri content-type="referee-report" xlink:href="https://doi.org/10.7554/eLife.107745.2.sa2">Reviewer #2 (Public review):</self-uri><self-uri content-type="author-comment" xlink:href="https://doi.org/10.7554/eLife.107745.2.sa3">Author response</self-uri></event></pub-history><permissions><copyright-statement>© 2025, Georgiev, Johnson et al</copyright-statement><copyright-year>2025</copyright-year><copyright-holder>Georgiev, Johnson 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-107745-v1.pdf"/><self-uri content-type="figures-pdf" xlink:href="elife-107745-figures-v1.pdf"/><abstract><p>Amino acids play critical roles in the activation and function of lymphocytes. Here we show that the non-essential amino acid, asparagine, is essential for optimal activation and proliferation of CD4<sup>+</sup> T cells. We demonstrate that asparagine depletion at different time points after CD4<sup>+</sup> T cell activation reduces mitochondrial membrane potential and function. Furthermore, asparagine depletion at specific time points during CD4<sup>+</sup> T cell differentiation reduces cytokine production in multiple CD4<sup>+</sup> T cell subsets. In an adoptive transfer model of experimental autoimmune encephalomyelitis (EAE), myelin oligodendrocyte-specific pathogenic T helper 17 cells differentiated under Asn-deficient conditions exhibited reduced encephalitogenic potential and attenuated EAE severity. In a model of EAE induced by active immunization, therapeutic depletion of extracellular Asn significantly reduced disease severity. These results identify asparagine as a key metabolic regulator of the pathogenicity of autoreactive CD4<sup>+</sup> T cells and suggest that targeting asparagine metabolism may be a novel therapeutic strategy for autoimmunity.</p></abstract><kwd-group kwd-group-type="author-keywords"><kwd>immunology</kwd><kwd>autoimmune response/disease</kwd><kwd>lymphocyte subsets</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="ror">https://ror.org/01cwqze88</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>P01 AI056299</award-id><principal-award-recipient><name><surname>Sharpe</surname><given-names>Arlene H</given-names></name></principal-award-recipient></award-group><award-group id="fund2"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/03vek6s52</institution-id><institution>Ludwig Center at Harvard</institution></institution-wrap></funding-source><principal-award-recipient><name><surname>Haigis</surname><given-names>Marcia C</given-names></name></principal-award-recipient></award-group><award-group id="fund3"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02ebg5q27</institution-id><institution>Paul F Glenn Foundation for Medical Research</institution></institution-wrap></funding-source><principal-award-recipient><name><surname>Haigis</surname><given-names>Marcia C</given-names></name></principal-award-recipient></award-group><award-group id="fund4"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/01cwqze88</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>1F31CA281090-01</award-id><principal-award-recipient><name><surname>Georgiev</surname><given-names>Peter</given-names></name></principal-award-recipient></award-group><award-group id="fund5"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/01gavpb45</institution-id><institution>Canadian Institutes of Health Research</institution></institution-wrap></funding-source><award-id>Banting Postdoctoral Fellowship</award-id><principal-award-recipient><name><surname>Han</surname><given-names>SeongJun</given-names></name></principal-award-recipient></award-group><award-group id="fund6"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/0195dxj21</institution-id><institution>Life Sciences Research Foundation</institution></institution-wrap></funding-source><award-id>Gilead Sciences Fellowship</award-id><principal-award-recipient><name><surname>Kurmi</surname><given-names>Kiran</given-names></name></principal-award-recipient></award-group><award-group id="fund7"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/01cwqze88</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>P01 AI039671</award-id><principal-award-recipient><name><surname>Sharpe</surname><given-names>Arlene H</given-names></name></principal-award-recipient></award-group><award-group id="fund8"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/01cwqze88</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>AI108545</award-id><principal-award-recipient><name><surname>Sharpe</surname><given-names>Arlene H</given-names></name></principal-award-recipient></award-group><award-group id="fund9"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/01cwqze88</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>U54 CA224088</award-id><principal-award-recipient><name><surname>Haigis</surname><given-names>Marcia C</given-names></name></principal-award-recipient></award-group><award-group id="fund10"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/01cwqze88</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>R01CA276866</award-id><principal-award-recipient><name><surname>Haigis</surname><given-names>Marcia C</given-names></name></principal-award-recipient></award-group><award-group id="fund11"><funding-source><institution-wrap><institution-id institution-id-type="ror">https://ror.org/01cwqze88</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>U01 CA267827</award-id><principal-award-recipient><name><surname>Haigis</surname><given-names>Marcia C</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>A comprehensive investigation of extracellular asparagine utilization highlights its role as a critical regulator of murine CD4+ T cell activation, differentiation, and function.</meta-value></custom-meta><custom-meta specific-use="meta-only"><meta-name>publishing-route</meta-name><meta-value>prc</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Naive T cell activation and clonal expansion are bioenergetically demanding processes that require substantial changes in energy and substrate utilization (<xref ref-type="bibr" rid="bib8">Chapman et al., 2020</xref>; <xref ref-type="bibr" rid="bib19">Klein Geltink et al., 2018</xref>; <xref ref-type="bibr" rid="bib24">MacIver et al., 2013</xref>). Following T cell receptor (TCR) stimulation, activated T cells increase their metabolic activity and shift towards the use of anabolic pathways such as aerobic glycolysis, fatty acid synthesis, and mitochondrial biogenesis (<xref ref-type="bibr" rid="bib8">Chapman et al., 2020</xref>; <xref ref-type="bibr" rid="bib19">Klein Geltink et al., 2018</xref>; <xref ref-type="bibr" rid="bib24">MacIver et al., 2013</xref>; <xref ref-type="bibr" rid="bib38">Warburg et al., 1927</xref>; <xref ref-type="bibr" rid="bib3">Buck et al., 2015</xref>). This metabolic transition depends on the uptake of extracellular nutrients and is enabled by the rapid upregulation of nutrient transporters (<xref ref-type="bibr" rid="bib39">Wei et al., 2017</xref>; <xref ref-type="bibr" rid="bib42">Zhang et al., 2014</xref>). Among these, the uptake of exogenous amino acids is important for sustaining intracellular biosynthetic processes including nucleotide biosynthesis, ATP generation, and nascent protein synthesis (<xref ref-type="bibr" rid="bib42">Zhang et al., 2014</xref>; <xref ref-type="bibr" rid="bib18">Kelly and Pearce, 2020</xref>; <xref ref-type="bibr" rid="bib32">Sinclair et al., 2013</xref>).</p><p>Amino acids are fundamental building blocks for the synthesis of nascent proteins but have additional functions during T cell activation. Amino acids serve as substrates for nucleic acid biosynthesis, support post- translational modifications of proteins, and are critical for maintaining redox balance (<xref ref-type="bibr" rid="bib42">Zhang et al., 2014</xref>; <xref ref-type="bibr" rid="bib18">Kelly and Pearce, 2020</xref>; <xref ref-type="bibr" rid="bib32">Sinclair et al., 2013</xref>). The reliance of activated T cells on the non-essential amino acids glutamine, serine, alanine, and arginine is well established (<xref ref-type="bibr" rid="bib5">Carr et al., 2010</xref>; <xref ref-type="bibr" rid="bib13">Geiger et al., 2016</xref>; <xref ref-type="bibr" rid="bib23">Ma et al., 2017</xref>; <xref ref-type="bibr" rid="bib30">Ron-Harel et al., 2019</xref>). For example, activated T cells critically depend on the uptake of serine, which provides glycerol and carbon units for de novo nucleotide biosynthesis and one-carbon metabolism (<xref ref-type="bibr" rid="bib23">Ma et al., 2017</xref>). Similarly, the uptake of alanine is required for T cell proliferation and the efficient exit from quiescence following TCR stimulation (<xref ref-type="bibr" rid="bib30">Ron-Harel et al., 2019</xref>). Extracellular asparagine (Asn) has recently garnered attention as a nutrient important for CD8<sup>+</sup> T cell differentiation and function; however, its role in helper CD4<sup>+</sup> T cell responses has not been explored (<xref ref-type="bibr" rid="bib15">Hope et al., 2021</xref>; <xref ref-type="bibr" rid="bib40">Wu et al., 2021</xref>; <xref ref-type="bibr" rid="bib7">Chang et al., 2025</xref>; <xref ref-type="bibr" rid="bib14">Gnanaprakasam et al., 2023</xref>; <xref ref-type="bibr" rid="bib12">Fernández-García et al., 2022</xref>). In fact, a number of extracellular amino acid dependencies have yet to be characterized in the specific context of CD4<sup>+</sup> T cell function. To address this gap, we assessed the requirement for extracellular non-essential amino acids during CD4<sup>+</sup> T cell activation and proliferation. Through this analysis, we uncovered a critical role for extracellular Asn in supporting CD4<sup>+</sup> T cell responses.</p><p>In this study, we demonstrate that CD4<sup>+</sup> T cells depend on extracellular Asn for optimal proliferation, activation, and differentiation into helper cells, despite upregulating the Asn-generating enzyme Asn synthetase (ASNS). The absence of extracellular Asn impairs TCR-induced metabolic reprogramming and results in dysfunctional mitochondria. Our findings reveal that early or delayed Asn depletion during the course of experimental autoimmune encephalomyelitis (EAE) attenuates disease severity. In an adoptive transfer model of EAE, pathogenic T helper 17 cells differentiated in the absence of extracellular Asn accumulate poorly in the central nervous system (CNS) and exhibit defects in protein synthesis and metabolic fitness ex vivo. Collectively, our results suggest that extracellular Asn bioavailability is a key metabolic checkpoint that regulates the functional responses of CD4<sup>+</sup> T cells.</p></sec><sec id="s2" sec-type="results"><title>Results</title><sec id="s2-1"><title>Extracellular Asn is essential for optimal activation and proliferation of CD4<sup>+</sup> T cells</title><p>To investigate the requirement for non-essential amino acids in CD4<sup>+</sup> T cell activation, we performed experiments under culture conditions where amino acids were individually added or withdrawn from media. For single amino acid addition experiments, naive CD4<sup>+</sup> T cells were activated on plates coated with anti-CD3 and anti-CD28 antibodies and cultured in DMEM media with glutamine. Non-essential amino acids lacking in standard DMEM formulation, but present in the conventional RPMI formulation, were individually added. After 24 hours of stimulation in these culture conditions, only the addition of Asn was sufficient to fully activate CD4<sup>+</sup> T cells and promote expression of canonical activation markers (<xref ref-type="fig" rid="fig1">Figure 1A and D–I</xref>). After 72 hours of activation in these culture conditions, only Asn addition led to significant proliferation, as measured by CTV dye dilution (<xref ref-type="fig" rid="fig1">Figure 1A–C</xref>). To assess the essentiality of non-essential amino acids for activation of naive CD4<sup>+</sup> T cells, we activated naive CD4<sup>+</sup> T cells in RPMI lacking nine non-essential amino acids or RPMI depleted of each non-essential amino acid for 24 hours. Depletion of Asn or glutamine resulted in reduced expression of activation markers CD44, CD25, and PD-1, and phenocopied the effects seen when all nine non-essential amino acids were reduced (<xref ref-type="fig" rid="fig1">Figure 1J and K</xref>, <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1A</xref>). However, Asn deprivation resulted in the greatest defect in expression of activation markers compared to other amino acids (<xref ref-type="fig" rid="fig1">Figure 1J and K</xref>, <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1A</xref>). To determine the dose dependency of Asn for CD4<sup>+</sup> T cell activation, we performed a titration experiment in which CD4<sup>+</sup> T cells were stimulated in Asn-free RPMI or DMEM supplemented with increasing concentrations of asparagine. After 24 hours of stimulation, activation marker expression was measured. The resulting titration curve revealed that the critical Asn concentration required for CD4<sup>+</sup> T cell activation lies between 3.78 and 37.8 µM (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1B and C</xref>), consistent with the physiological concentration of asparagine in murine plasma, which is approximately 50 μM (<xref ref-type="bibr" rid="bib34">Takach et al., 2014</xref>; <xref ref-type="bibr" rid="bib35">Tanaka et al., 2013</xref>). These results show that Asn is essential for CD4<sup>+</sup> T cell activation in these culture conditions.</p><fig-group><fig id="fig1" position="float"><label>Figure 1.</label><caption><title>Asparagine is critical for early activation and proliferation of CD4<sup>+</sup> T cells.</title><p>(<bold>A</bold>) Schematic of experimental design. Naive CD4<sup>+</sup> T cells were stimulated for either 24 hours or 72 hours with plate-bound anti-CD3 and anti-CD28 mAbs in DMEM media with glutamine or DMEM media with glutamine supplemented with 0.38 mM asparagine (Asn), 0.38 mM alanine (Ala), 0.15 mM aspartate (Asp), 0.13 mM glutamate (Glu), or 0.17 mM proline (Pro). (<bold>B</bold>) Representative flow cytometry histogram depicting CTV dye dilution in naive CD4<sup>+</sup> T cells following 3 days of stimulation with plate-bound anti-CD3/CD28 mAbs in DMEM media with glutamine or DMEM media with glutamine supplemented with the indicated amino acids. (<bold>C</bold>) Quantification of division index in (B). (<bold>D–I</bold>) Quantification of the proportions of CD4<sup>+</sup> T cells expressing the cell surface activation markers PD-1 (<bold>D</bold>), CD44 (<bold>F</bold>), CD25 (<bold>H</bold>) as well as expression levels of each respective marker on a per cell basis (<bold>E, G, I</bold>) following 24 hours of stimulation with plate-bound anti-CD3/CD28 mAbs in DMEM media with glutamine or DMEM media with glutamine supplemented with 0.38 mM Asn, 0.38 mM Ala, 0.15 mM Asp, 0.13 mM Glu, or 0.17 mM Pro. (<bold>J, K</bold>) Expression levels of activation markers CD44 (<bold>J</bold>), CD25 (<bold>K</bold>) following 24 hours of stimulation with plate-bound anti-CD3/CD28 mAbs in RPMI lacking the indicated individual amino acids shown in red. Non-essential amino acids (NEAA) include asparagine (Asn), aspartate (Asp), glutamate (Glu), proline (Pro), arginine (Arg), glutamine (Gln), glycine (Gly), serine (Ser), and tyrosine (Tyr). (<bold>L</bold>) Quantification of the proportions of viable CD4<sup>+</sup> T cells following 24 hours of stimulation with plate-bound anti-CD3/CD28 mAbs in complete RPMI (RPMI), Asn-deficient RPMI, or RPMI with 10 IUs/L PEGylated-asparaginase (PEG-AsnASE) added at the start of culture. (<bold>M, N</bold>) Expression level of CD25 (<bold>M</bold>) and CD44 (<bold>N</bold>) on a per cell basis following 24 hours of stimulation with plate-bound anti-CD3/CD28 mAbs under the same conditions as in (L). (<bold>O</bold>) Representative flow cytometry histograms showing CTV dye dilution in naive CD4<sup>+</sup> T cells following 3 days of stimulation with plate-bound anti-CD3/CD28 mAbs in RPMI, Asn-deficient RPMI, or RPMI with 10 IUs/L PEG-AsnASE added at the start of culture. Gray histogram represents unstimulated control. (<bold>P</bold>) Quantification of division index in (O). Each dot represents cells obtained from an individual animal (<bold>L–N, P</bold>). Results are shown as mean ± SD (<bold>C–N, P</bold>) and are representatives of two independent experiments (<bold>B–K, O</bold>) or pooled from two independent experiments (<bold>L–N, P</bold>). Not significant (n.s), *p&lt;0.05, ***p&lt;0.001, ****p&lt;0.0001, one-way ANOVA with Dunnett’s multiple comparison test (<bold>C–K</bold>) or Tukey’s multiple comparison test (<bold>L–N, P</bold>). Panel (A) was created with <ext-link ext-link-type="uri" xlink:href="https://biorender.com/dqco8fe">BioRender</ext-link>.</p><p><supplementary-material id="fig1sdata1"><label>Figure 1—source data 1.</label><caption><title>Results from proliferation and activation assays.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig1-v1.tif"/></fig><fig id="fig1s1" position="float" specific-use="child-fig"><label>Figure 1—figure supplement 1.</label><caption><title>Extracellular asparagine is essential for CD4<sup>+</sup> T cell activation.</title><p>(<bold>A</bold>) Expression levels of the activation marker PD-1 following 24 hours of stimulation with plate-bound anti-CD3/CD28 mAbs in RPMI lacking the indicated individual amino acids shown in red. Non-essential amino acids (NEAA) include asparagine (Asn), aspartate (Asp), glutamate (Glu), proline (Pro), arginine (Arg), glutamine (Gln), glycine (Gly), serine (Ser), and tyrosine (Tyr). (<bold>B, C</bold>) Frequency of cells expressing the activation markers CD25, CD44, CD69, CD71, and PD-1 following 24 hours of stimulation with plate-bound anti-CD3/CD28 mAbs in RPMI without Asn (<bold>B</bold>) or DMEM (<bold>C</bold>) supplemented with increasing concentrations of Asn (n=3 for each concentration). Quantification of the proportions of CD4<sup>+</sup> T cells expressing cell surface activation markers CD44 (<bold>D</bold>), CD25 (<bold>E</bold>), CD69 (<bold>F</bold>), and PD-1 (<bold>H</bold>) as well as expression levels of CD69 (<bold>G</bold>) and PD-1 (<bold>I</bold>) on a per cell basis following 24 hours of stimulation with plate-bound anti-CD3/CD28 mAbs in complete RPMI (RPMI), Asn-deficient RPMI, or RPMI with 10 IUs/L PEGylated-asparaginase (PEG-AsnASE) added at the start of culture. (<bold>J</bold>) Quantification of the proportions of viable CD4<sup>+</sup> T cells in each respective culture condition after 3 days of stimulation with plate-bound anti-CD3/CD28 mAbs in RPMI, Asn-deficient RPMI, or RPMI with 10 IUs/L PEG-AsnASE added at the start of culture. (<bold>K</bold>) Quantification of the proportion of Annexin-V propidium iodide double-positive CD4<sup>+</sup> T cells as shown in (L). (<bold>L</bold>) Representative flow cytometry contour plots depicting Annexin-V and propidium iodide staining in naive CD4<sup>+</sup> T cells following 2 days of stimulation with plate-bound anti-CD3/CD28 mAbs in RPMI, Asn-deficient RPMI, or RPMI with 10 IUs/L PEG-AsnASE added from the initiation of culture. Upper right quadrants depict the proportions of CD4<sup>+</sup> T cells that have undergone apoptosis in each respective culture condition. Each dot represents cells obtained from an individual animal (<bold>D–K</bold>). Results are shown as mean ± SD and are pooled from two independent experiments (<bold>D–K</bold>) or a representative of two independent experiments (<bold>A–C, L</bold>). Non-significant (n.s.), *p&lt;0.05 **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001, one-way ANOVA with Turkey’s multiple comparison test (<bold>D–K</bold>) or Dunnett’s multiple comparison test (<bold>A</bold>).</p><p><supplementary-material id="fig1s1sdata1"><label>Figure 1—figure supplement 1—source data 1.</label><caption><title>Results from proliferation, viability, and activation assays.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig1-figsupp1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig1-figsupp1-v1.tif"/></fig></fig-group><p>To further evaluate the extent to which extracellular Asn depletion affects CD4<sup>+</sup> T cell activation and proliferation, we employed two orthogonal approaches to deplete Asn. We activated naive CD4<sup>+</sup> T cells in media treated with PEGylated asparaginase (PEG-AsnASE), an enzyme that catabolizes asparagine into aspartate and ammonia, or in custom-formulated RPMI media specifically lacking Asn. Viability did not significantly differ between complete or Asn-deficient media conditions (<xref ref-type="fig" rid="fig1">Figure 1L</xref>); however, cells cultured in Asn-deficient media displayed reduced expression and frequencies of CD25, CD44, CD69, and PD-1 positive cells after 24 hours in culture (<xref ref-type="fig" rid="fig1">Figure 1M and N</xref>, <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1D–I</xref>). These results were mimicked with PEG-AsnASE treated media. In contrast, at longer culture periods after TCR stimulation, cells demonstrated increased apoptosis as indicated by Annexin V+staining at 48 hours (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1K and L</xref>) and reduced viability after 72 hours in Asn-deficient media (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1J</xref>). Proliferation was also impaired by the depletion of Asn after 3 days of TCR stimulation (<xref ref-type="fig" rid="fig1">Figure 1O and P</xref>). In sum, CD4<sup>+</sup> T cells exhibit a requirement for extracellular Asn at early stages of activation.</p><p>Asparagine is described as a non-essential amino acid and thus can be produced endogenously. Considering the essentiality of extracellular Asn during the early stages of CD4<sup>+</sup> T cell activation, we next explored whether CD4<sup>+</sup> T cells lack the intracellular machinery needed for endogenous production of Asn (<xref ref-type="fig" rid="fig2">Figure 2A</xref>). To evaluate the levels of Asn metabolism proteins present in CD4<sup>+</sup> T cells, we used a publicly available bulk RNA-seq dataset consisting of naive CD4<sup>+</sup> T cells differentiated in vitro under T helper 1 (TH1), non-pathogenic T helper 17 (npTH17), and pathogenic T helper 17 (pTH17) polarizing conditions for 1, 6, 12, 20, or 48 hours (<xref ref-type="fig" rid="fig2">Figure 2B and C</xref>; <xref ref-type="bibr" rid="bib36">Thakore et al., 2024</xref>). These data suggest that mRNA expression of Asn synthesizing enzyme, asparagine synthase (<italic>Asns</italic>), increases upon activation under all polarizing conditions, whereas mRNA expression of asparagine catabolizing enzyme, <italic>Asrgl1</italic>, demonstrates little change upon activation. We validated these findings in CD4<sup>+</sup> T cells activated under non-polarizing conditions (<xref ref-type="fig" rid="fig2">Figure 2D and E</xref>) using quantitative PCR (qPCR). To confirm that the observed transcriptional changes correspond to protein expression levels, we assessed ASNS protein expression by western blotting (<xref ref-type="fig" rid="fig2">Figure 2F</xref>). The changes in ASNS protein levels reflected the transcriptional changes of <italic>Asns</italic>. Notably, when naive CD4<sup>+</sup> T cells were activated in Asn-limited media, there was greater production of ASNS compared to cells cultured in Asn sufficient media (<xref ref-type="fig" rid="fig2">Figure 2G</xref>). Together, these results show that activated CD4<sup>+</sup> T cells possess the enzymatic machinery to generate Asn in both Asn-depleted and Asn-replete conditions.</p><fig-group><fig id="fig2" position="float"><label>Figure 2.</label><caption><title>Extracellular asparagine is needed for sustained CD4<sup>+</sup> T cell activation and proliferation at later stages following initial activation.</title><p>(<bold>A</bold>) Schematic of Asn metabolism in mammalian cells. (<bold>B, C</bold>) Bulk RNA-seq analysis showing expression of <italic>Asns</italic> (<bold>B</bold>) and <italic>Asrgl1</italic> (<bold>C</bold>) in naive CD4<sup>+</sup>CD62L<sup>+</sup>CD44<sup>-</sup> T cells at baseline (gray dot) or following stimulation with anti-CD3/CD28 mAbs under T helper 1 (T<sub>H</sub>1), pathogenic T helper 17 (pT<sub>H</sub>17), and non-pathogenic T helper 17 (npT<sub>H</sub>17) conditions for 1, 6, 12, 20, and 48 hours. Results are shown as average (n=3 for each condition, per time point). (<bold>D, E</bold>) qPCR analysis showing the expression kinetics of <italic>Asns</italic> (<bold>D</bold>) and <italic>Asrgl1</italic> (<bold>E</bold>) over time in naive CD4<sup>+</sup> T cells at baseline or stimulated with anti-CD3/CD28 mAbs for 24 and 48 hours (n=3 for each time point). (<bold>F</bold>) Western blot analysis of ASNS protein expression in CD4<sup>+</sup> T cells activated with anti-CD3/CD28 mAbs in either RPMI or Asn-deficient RPMI at 24 or 48 hours after activation. Naive CD4<sup>+</sup> T cells are shown as controls. (<bold>G</bold>) Densitometry analysis of F showing the relative Asns to actin ratio. (<bold>H</bold>) Schematic of experimental design. Purified naive CD4<sup>+</sup> T cells were activated in vitro with plate-bound anti-CD3/CD28 mAbs in complete RPMI media (RPMI), Asn-deficient RPMI, or RPMI with 10 IUs/L PEGylated-asparaginase (PEG-AsnASE) added at 0, 6, 12, 24, 36, 48, and 60 hours. (<bold>I</bold>) Representative flow cytometry histogram showing cell trace violet (CTV) dye dilution in naive CD4<sup>+</sup> T cells following 3 days of stimulation. (<bold>J</bold>) Quantification of division index in (I). (<bold>K, L</bold>) Quantification of the gMFI of CD4<sup>+</sup> T cells expressing CD25 (<bold>K</bold>) and CD44 (<bold>L</bold>) following 2 days of stimulation with plate-bound anti-CD3/CD28 mAbs in complete RPMI, Asn-deficient RPMI, or RPMI with 10 IUs/L PEG-AsnASE added at 0, 6, 12, 24, and 36 hours. Each dot represents cells from an individual animal (<bold>J–L</bold>). Results are shown as average (n=3 per condition, per time point) (<bold>B, C</bold>) or mean ± SD (<bold>D, E, G, J–L</bold>) and are representative of 2 independent experiments (<bold>D–G, I–L</bold>). Non-significant (n.s.), *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001, one-way ANOVA with Dunnett’s multiple comparison test (<bold>J–L</bold>) or Tukey’s multiple comparison test (<bold>G</bold>). Panels (A) and (H) were created with <ext-link ext-link-type="uri" xlink:href="https://biorender.com/dqco8fe">BioRender</ext-link>.</p><p><supplementary-material id="fig2sdata1"><label>Figure 2—source data 1.</label><caption><title>Results from gene expression, proliferation and activation assays.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig2-data1-v1.xlsx"/></supplementary-material></p><p><supplementary-material id="fig2sdata2"><label>Figure 2—source data 2.</label><caption><title>Original uncropped western blots shown in <xref ref-type="fig" rid="fig2">Figure 2F</xref>.</title></caption><media mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig2-data2-v1.tif"/></supplementary-material></p><p><supplementary-material id="fig2sdata3"><label>Figure 2—source data 3.</label><caption><title>Uncropped western blots shown in <xref ref-type="fig" rid="fig2">Figure 2F</xref> with relevant bands labelled.</title></caption><media mimetype="application" mime-subtype="pdf" xlink:href="elife-107745-fig2-data3-v1.pdf"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig2-v1.tif"/></fig><fig id="fig2s1" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 1.</label><caption><title>Expression of CD4<sup>+</sup> T cell activation proteins in asparagine sufficient and deficient conditions.</title><p>(<bold>A–C</bold>) Quantification of the proportions of CD4<sup>+</sup> T cells expressing CD25 (<bold>A</bold>), PD-1 (<bold>B</bold>), and CD25 (<bold>C</bold>) following 2 days of stimulation with plate-bound anti-CD3/CD28 mAbs in complete RPMI, Asn-deficient RPMI, or RPMI with 10 IUs/L PEGylated-asparaginase added at 0, 6, 12, 24, or 36 hours. Each dot represents cells obtained from an individual animal (<bold>A–C</bold>). Results are shown as mean ± SD and are representative of 2 independent experiments. Non-significant (n.s.), *p&lt;0.05, ****p&lt;0.0001, one-way ANOVA with Dunnett’s multiple comparison test.</p><p><supplementary-material id="fig2s1sdata1"><label>Figure 2—figure supplement 1—source data 1.</label><caption><title>Results from activation assays.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig2-figsupp1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig2-figsupp1-v1.tif"/></fig></fig-group><p>Given that upregulation of ASNS allows CD8<sup>+</sup> T cells to function in the absence of extracellular Asn (<xref ref-type="bibr" rid="bib15">Hope et al., 2021</xref>; <xref ref-type="bibr" rid="bib14">Gnanaprakasam et al., 2023</xref>) and our findings showing that ASNS is upregulated in CD4<sup>+</sup> T cells upon TCR activation in the presence and absence of Asn (<xref ref-type="fig" rid="fig2">Figure 2F and G</xref>), we next investigated whether endogenous Asn could compensate for the lack of extracellular Asn and promote CD4<sup>+</sup> T cell function at 24 and 48 hours after TCR stimulation. To interrogate when extracellular Asn is needed for CD4<sup>+</sup> T cell activation and proliferation, we depleted extracellular Asn using PEG-AsnASE at different time points following activation, including 6, 12, 24, 36, 48, and 60 hours post TCR activation (<xref ref-type="fig" rid="fig2">Figure 2H</xref>). Depletion of extracellular Asn significantly inhibited CD4<sup>+</sup> T cell proliferation, even when PEG-AsnASE was added to cultures at 48 hours post TCR activation (<xref ref-type="fig" rid="fig2">Figure 2I and J</xref>). The anti-proliferative effects of PEG-AsnASE treatment were statistically significant at time points corresponding to increased ASNS expression, including 24 and 36 hours after TCR activation (<xref ref-type="fig" rid="fig2">Figure 2D, F, and G</xref>). In addition, depletion of extracellular Asn at various time points after TCR activation impaired the activation of naive CD4<sup>+</sup> T cells, reducing the proportions of CD4<sup>+</sup> T cells expressing activation-associated markers (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1A–C</xref>). Expression levels of these markers were also reduced in the absence of Asn and never fully recovered to levels observed in control conditions (<xref ref-type="fig" rid="fig2">Figure 2K and L</xref>). These results suggest that extracellular Asn availability is not only limiting early during TCR activation, but also at later stages, despite increased ASNS levels.</p></sec><sec id="s2-2"><title>Extracellular Asn is a building block for protein synthesis following T cell activation</title><p>Because amino acids act as fundamental building blocks for the synthesis of nascent proteins, (<xref ref-type="bibr" rid="bib18">Kelly and Pearce, 2020</xref>) we reasoned that deficits in the activation and proliferation of CD4<sup>+</sup> T cells upon Asn deprivation might result from decreased protein synthesis (<xref ref-type="bibr" rid="bib18">Kelly and Pearce, 2020</xref>). To measure levels of protein synthesis in anti-CD3/anti-CD28 activated CD4<sup>+</sup> T cells, we used fluorescently labeled O-propargyl-puromycin (OPP), an alkyne analog of puromycin which is directly incorporated into the C-terminus of translating polypeptide chains (<xref ref-type="fig" rid="fig3">Figure 3A</xref>). Naive CD4<sup>+</sup> T cells stimulated in Asn-deficient RPMI for 24 hours exhibited a significant deficit in nascent protein synthesis, similar to levels observed in unstimulated controls and control cells treated with the protein synthesis inhibitor cycloheximide (<xref ref-type="fig" rid="fig3">Figure 3B and C</xref>). Adding Asn back to Asn-deficient RPMI largely restored protein synthesis (<xref ref-type="fig" rid="fig3">Figure 3B and C</xref>). These results demonstrate a requirement for Asn in tRNA charging to support nascent polypeptide synthesis during the activation of naive CD4<sup>+</sup> T cells.</p><fig-group><fig id="fig3" position="float"><label>Figure 3.</label><caption><title>Asparagine is taken up by CD4<sup>+</sup> T cells and incorporated into their proteome.</title><p>(<bold>A</bold>) Schematic of experimental design. Purified naive CD4<sup>+</sup> T cells were activated in vitro with plate-bound anti-CD3/CD28 mAbs in complete RPMI media (RPMI) or Asn-deficient RPMI for 24 hours. At 24 hours, Asn was added to cells stimulated in Asn-deficient media at a final concentration of 0.38 mM for 4 hours. At 28 hours, protein synthesis was measured using the O-propargyl-puromycin (OPP) probe. As a positive control, T cells cultured in RPMI were treated with 50 μg/mL of the protein synthesis inhibitor cycloheximide (CHX). (<bold>B</bold>) Representative flow cytometry histogram showing mean fluorescent intensity (MFI) of the nascent protein synthesis reporter Click-iT OPP. Naive CD4<sup>+</sup> T cells are shown as controls. (<bold>C</bold>) Quantification of Click-iT OPP gMFI. (<bold>D</bold>) Experimental design for measuring the incorporation of heavy labeled <sup>15</sup>N<sub>2</sub>-Asn into proteins following naive CD4<sup>+</sup> T cell activation. Naive CD4<sup>+</sup> T cells were stimulated with plate-bound anti-CD3/CD28 mAbs in Asn-deficient media reconstituted with 0.38 mM <sup>15</sup>N<sub>2</sub>-Asn for 24 or 48 hours. (<bold>E</bold>) Quantification of the <sup>15</sup>N<sub>2</sub>-Asn labeled fraction in the T cell proteome (n=3 for each condition, per time point). Results are shown as mean ± SD (<bold>C, E</bold>) and are representative of at least two independent experiments (<bold>B, C, E</bold>). ****p&lt;0.0001, one-way ANOVA with Tukey’s multiple comparison test (<bold>C</bold>). Panels (A) and (D) were created with <ext-link ext-link-type="uri" xlink:href="https://biorender.com/dqco8fe">BioRender</ext-link>.</p><p><supplementary-material id="fig3sdata1"><label>Figure 3—source data 1.</label><caption><title>Results from protein synthesis and mass spectrometry assays.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig3-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig3-v1.tif"/></fig><fig id="fig3s1" position="float" specific-use="child-fig"><label>Figure 3—figure supplement 1.</label><caption><title>Asparagine amino acid transporters are expressed in activated CD4<sup>+</sup> T cells.</title><p>(<bold>A–C</bold>) Bulk RNA-seq analysis showing expression of <italic>Slc1a5</italic> (<bold>A</bold>), <italic>Slc38a2</italic> (<bold>B</bold>), and <italic>Slc6a14</italic> (<bold>C</bold>) in naive CD4<sup>+</sup>CD62L<sup>+</sup>CD44<sup>-</sup> T cells at baseline (gray dot) or following stimulation with anti-CD3/CD28 mAbs under T helper 1 (T<sub>H</sub>1), pathogenic T helper 17 (pT<sub>H</sub>17), and non-pathogenic T helper 17 (npT<sub>H</sub>17) conditions for 1, 6, 12, 20, and 48 hours. Results are shown as average (n=3 for each condition, per time point).</p><p><supplementary-material id="fig3s1sdata1"><label>Figure 3—figure supplement 1—source data 1.</label><caption><title>Results from RNA-seq reanalysis.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig3-figsupp1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig3-figsupp1-v1.tif"/></fig></fig-group><p>Next, we conducted a time course activation study using <sup>15</sup>N<sub>2</sub>-Asn to assess the contribution of extracellular Asn to total CD4<sup>+</sup> T cell protein content (<xref ref-type="fig" rid="fig3">Figure 3D</xref>). LC/MS analysis of hydrolyzed total protein fractions from naive CD4<sup>+</sup> T cells at baseline, 24 hours, and 48 hours post TCR stimulation revealed that nearly 50% of Asn from proteins was <sup>15</sup>N<sub>2</sub> labeled after 24 hours and roughly 75% of Asn was labeled by 48 hours (<xref ref-type="fig" rid="fig3">Figure 3E</xref>). Collectively, our studies demonstrate that Asn is taken up by CD4<sup>+</sup> T cells and plays a requisite role in protein synthesis.</p><p>Since we observed increased incorporation of extracellular asparagine into the CD4<sup>+</sup> T cell proteome, we aimed to identify amino acid transporters that could mediate this process. Plasma membrane transporters, Slc38a9 and Slc1a5 have been linked to Asn uptake in activated CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="bib40">Wu et al., 2021</xref>), and Slc6a14 has been implicated in Asn uptake in macrophages (<xref ref-type="bibr" rid="bib37">Wang et al., 2025</xref>). Thus, we sought to determine if these transporters are expressed throughout the activation and differentiation of CD4<sup>+</sup> T cells. Reanalysis of the abovementioned RNA-seq dataset, which includes transcript levels of naive CD4<sup>+</sup> T cells differentiated under various polarizing conditions, revealed that <italic>Slc1a5</italic> increases expression upon activation in all subsets. Similarly, <italic>Slc38a2</italic> expression increases 1 hour after activation but subsequently returns to basal levels comparable to those in the naive state across all polarizing conditions. <italic>Slc6a14</italic> exhibited lower basal expression in naive cells relative to the other transporters examined, and its expression decreased progressively over the course of differentiation in all CD4<sup>+</sup> T cell subsets (<xref ref-type="fig" rid="fig3s1">Figure 3—figure supplement 1A–C</xref>). Together, these results indicate that CD4<sup>+</sup> T cells express Asn transporters capable of mediating Asn uptake and its incorporation into the proteome.</p></sec><sec id="s2-3"><title>Asparagine depletion impairs metabolic reprogramming associated with CD4<sup>+</sup> T cell activation</title><p>Following TCR activation, T cells rapidly upregulate aerobic glycolysis and mitochondrial biogenesis to support the bioenergetic demands required for clonal expansion (<xref ref-type="bibr" rid="bib8">Chapman et al., 2020</xref>). Because nutrient uptake and metabolic reprogramming are highly coordinated processes, (<xref ref-type="bibr" rid="bib19">Klein Geltink et al., 2018</xref>; <xref ref-type="bibr" rid="bib39">Wei et al., 2017</xref>) we next investigated whether extracellular Asn availability affects CD4<sup>+</sup> T cell bioenergetics. To probe the functional state of mitochondria under conditions of Asn deprivation, we utilized the metabolic dyes Tetramethylrhodamine methyl ester (TMRM) to label active mitochondria with intact membranes and Mitotracker green (MTG) to assess mitochondrial mass (<xref ref-type="fig" rid="fig4">Figure 4A</xref>). TMRM and MTG fluorescence were decreased following Asn deprivation or treatment with PEG-AsnASE (<xref ref-type="fig" rid="fig4s1">Figure 4—figure supplement 1A and B</xref>). In addition, a population of depolarized mitochondria displaying high MTG staining (referred to as TMRM/MTG low) emerged (<xref ref-type="fig" rid="fig4">Figure 4B</xref>). TMRM/MTG low cells have previously been shown to mark dysfunctional mitochondria in exhausted T cells (<xref ref-type="bibr" rid="bib41">Yu et al., 2020</xref>). The proportion of TMRM/MTG low cells increased in the absence of extracellular Asn (<xref ref-type="fig" rid="fig4">Figure 4B and C</xref>), suggesting that depletion of extracellular Asn supports the accumulation of depolarized mitochondria with impaired fitness.</p><fig-group><fig id="fig4" position="float"><label>Figure 4.</label><caption><title>Extracellular asparagine depletion impairs CD4<sup>+</sup> T cell bioenergetics upon activation.</title><p>(<bold>A</bold>) Schematic of experimental design. Naive CD4<sup>+</sup> T cells were stimulated for 48 hours with plate-bound anti-CD3/CD28 mAbs in either complete RPMI media (RPMI), Asn-deficient RPMI, or RPMI treated with 10 IUs/L PEGylated-asparaginase (PEG-AsnASE) added at 0, 6, 12, 24, or 36 hours and stained with Mitotracker green (MTG) and Tetramethylrhodamine methyl ester (TMRM). (<bold>B</bold>) Representative flow cytometry contour plots depicting TMRM and MTG in CD4<sup>+</sup> T cells. (<bold>C</bold>) Quantification of proportion of TMRM/MTG low cells. (<bold>D</bold>) Schematic of experimental design. Oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) were measured in naive CD4<sup>+</sup> T cells stimulated for 48 hours with plate-bound anti-CD3/CD28 mAbs in either complete RPMI media (RPMI), Asn-deficient RPMI, or RPMI with 10 IUs/L PEG-AsnASE added at 0, 6, 12, 24, or 36 hours. (<bold>E</bold>) OCR under mitochondrial stress test conditions (n=6 for each condition). (<bold>F</bold>) Quantification of basal respiration and (<bold>G</bold>) ATP production. (<bold>H</bold>) ECAR under glycolysis stress test conditions (n=6 for each condition). (<bold>I</bold>) Quantification of glycolysis. (<bold>J</bold>) Schematic of experimental design. OCR was measured in naive CD4<sup>+</sup> T cells stimulated for 24 hours with plate-bound anti-CD3/CD28 mAbs in DMEM with glutamine or DMEM with glutamine supplemented with 0.38 mM of either asparagine (Asn), alanine (Ala), aspartate (Asp), glutamate (Glu), or proline (Pro). (<bold>K</bold>) OCR under mitochondrial stress test conditions (n=6 for each condition). (<bold>L</bold>) Quantification of basal respiration and (<bold>M</bold>) maximal respiration. Each dot in panels (C), (F), (G), and (I) represents cells obtained from an individual animal. Results are shown as mean ± SD and are representative of at least two independent experiments. Non-significant (n.s.), *p&lt;0.05, ****p&lt;0.0001, one-way ANOVA with Dunnett’s multiple comparison test. Panels (A), (D), and (J) were created with <ext-link ext-link-type="uri" xlink:href="https://biorender.com/dqco8fe">BioRender</ext-link>.</p><p><supplementary-material id="fig4sdata1"><label>Figure 4—source data 1.</label><caption><title>Results from mitochondrial dye and seahorse assays.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig4-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig4-v1.tif"/></fig><fig id="fig4s1" position="float" specific-use="child-fig"><label>Figure 4—figure supplement 1.</label><caption><title>Asparagine deprivation impairs mitochondrial function in CD4<sup>+</sup> T cells.</title><p>(<bold>A, B</bold>) Naive CD4<sup>+</sup> T cells were stimulated for 48 hours with plate-bound anti-CD3/CD28 mAbs in either complete RPMI media (RPMI), Asn-deficient RPMI, or RPMI treated with 10 IUs/L PEGylated-asparaginase (PEG-AsnASE) added at 0, 6, 12, 24, or 36 hours. (<bold>A</bold>) Quantification of Mitotracker green (MTG) gMFI. (<bold>B</bold>) Quantification of tetramethyl rhodamine methyl ester (TMRM) gMFI. Results are shown as mean ± SD and are representative of at least 2 independent experiments. Non-significant (n.s.), **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001, one-way ANOVA with Dunnett’s multiple comparison test.</p><p><supplementary-material id="fig4s1sdata1"><label>Figure 4—figure supplement 1—source data 1.</label><caption><title>Results from mitochondrial assays.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig4-figsupp1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig4-figsupp1-v1.tif"/></fig></fig-group><p>Given our results showing that asparagine deprivation results in the accumulation of dysfunctional mitochondria, we next sought to understand how Asn availability affects overall T cell metabolic reprogramming by measuring mitochondrial respiration and glycolytic flux (<xref ref-type="fig" rid="fig4">Figure 4D</xref>). Oxidative phosphorylation (OXPHOS), as measured by the oxygen consumption rate (OCR), was significantly decreased in the absence of extracellular Asn under mitochondrial stress test conditions (<xref ref-type="fig" rid="fig4">Figure 4E</xref>). PEG-AsnASE treatment at 6, 12, or 24 hours post TCR activation led to decreased OCR and ATP production, while PEG-AsnASE treatment at 36 hours post activation did not blunt mitochondrial respiration (<xref ref-type="fig" rid="fig4">Figure 4E–G</xref>). These results suggest that continuous Asn availability during the early stages of TCR activation is necessary to promote mitochondrial respiration. Under glycolysis stress test conditions, depletion of extracellular Asn similarly reduced the extracellular acidification rate (ECAR), resulting in decreased glycolysis (<xref ref-type="fig" rid="fig4">Figure 4H and I</xref>). These findings indicate that extracellular Asn availability determines the extent of TCR-induced glycolytic flux and mitochondrial respiration during CD4<sup>+</sup> T cell activation. Complementary studies using DMEM media supplemented with Asn showed a significant increase in OCR under mitochondrial stress test conditions, resulting in heightened basal respiration and maximal respiration (<xref ref-type="fig" rid="fig4">Figure 4J–M</xref>). In contrast, DMEM media supplemented with alanine, aspartate, glutamate, or proline failed to sufficiently increase OCR under mitochondrial stress test conditions (<xref ref-type="fig" rid="fig4">Figure 4J–M</xref>). These results suggest that extracellular Asn is crucial for mitochondrial respiration following T cell activation.</p></sec><sec id="s2-4"><title>Asparagine depletion reduces CD4<sup>+</sup> helper T cell lineage-specific cytokine production</title><p>Given the key roles of mitochondrial respiration and amino acids in the specification of distinct helper T cell lineages (<xref ref-type="bibr" rid="bib20">Klysz et al., 2015</xref>; <xref ref-type="bibr" rid="bib17">Johnson et al., 2018</xref>; <xref ref-type="bibr" rid="bib28">Puleston et al., 2021</xref>; <xref ref-type="bibr" rid="bib11">Delgoffe et al., 2009</xref>; <xref ref-type="bibr" rid="bib22">Lee et al., 2010</xref>), we next tested whether extracellular Asn availability influences the differentiation of naive CD4<sup>+</sup> T cells into distinct subsets. We differentiated naive CD4<sup>+</sup> T cells under TH1, npTH17, or pTH17 polarizing conditions, depleting Asn at the initiation of culture or at 0, 12, 24, 36, and 48 hours after activation (<xref ref-type="fig" rid="fig5">Figure 5A</xref>). Asn depletion impaired the differentiation of all helper T cell subsets tested, whether it was depleted at the initiation of each culture or at specific time points following T cell activation by using PEG-AsnASE (<xref ref-type="fig" rid="fig5">Figure 5B–J</xref>). Transcription factors defining specific CD4<sup>+</sup> T cell subsets were reduced when Asn was depleted at the initiation of culture (<xref ref-type="fig" rid="fig5s1">Figure 5—figure supplement 1A–E</xref>). Naive CD4<sup>+</sup> T cells differentiated under TH1 polarizing conditions exhibited reduced intracellular expression of the TH1-defining cytokine IFN-γ and a reduced proportion of IFN-γ-expressing T cells (<xref ref-type="fig" rid="fig5">Figure 5C and D</xref>). Asn depletion similarly affected npTH17 and pTH17 cells in the early stages of activation, as intracellular IL-17A expression levels were significantly reduced within both subsets at 0, 12, and 24 hour timepoints (<xref ref-type="fig" rid="fig5">Figure 5F, G and I, J</xref>). Notably, pTH17 intracellular IL-17A production was specifically affected by PEG-AsnASE treatment in the later timepoints of differentiation compared to npTH17 in these culture conditions (<xref ref-type="fig" rid="fig5">Figure 5F, G and I, J</xref>). This finding may point to differences in nutrient requirements as naive CD4<sup>+</sup> T cells differentiate into distinct subsets. These results suggest that Asn depletion impairs the production of lineage-defining cytokines in CD4<sup>+</sup> helper T cell subsets.</p><fig-group><fig id="fig5" position="float"><label>Figure 5.</label><caption><title>Asparagine deficiency reduces lineage-specific cytokine production in CD4<sup>+</sup> T helper subsets.</title><p>(<bold>A</bold>) Schematic of experimental design. Purified naive CD4<sup>+</sup> T cells were activated in vitro with plate-bound anti-CD3/CD28 mAbs under T helper 1 (T<sub>H</sub>1), pathogenic T helper 17 (pT<sub>H</sub>17), and non-pathogenic T helper 17 (npT<sub>H</sub>17) conditions in either complete RPMI (RPMI) media, Asn-deficient RPMI or RPMI with 10 IUs/L PEGylated-asparaginase (PEG-AsnASE) added at 0, 12, 24, 36, or 48 hours. On day 3, cells were restimulated for 4 hours with phorbol 12-myristate 13-acetate (PMA), ionomycin, brefeldin A, and monensin for intracellular staining. (<bold>B</bold>) Representative flow cytometry contour plots depicting intracellular staining of IFN-γ in T<sub>H</sub>1 differentiation conditions in RPMI or RPMI without Asn. (<bold>C</bold>) Quantification of the proportions of IFNγ-producing CD4<sup>+</sup> T cells under T<sub>H</sub>1 differentiation conditions. (<bold>D</bold>) Quantification of IFN-γ gMFI as shown in (C). (<bold>E</bold>) Representative flow cytometry contour plots depicting intracellular staining of IL-17A in npT<sub>H</sub>17 differentiation conditions in RPMI or RPMI without Asn. (<bold>F</bold>) Quantification of the proportions of IL-17A-producing CD4<sup>+</sup> T cells under npT<sub>H</sub>17 differentiation conditions. (<bold>G</bold>) Quantification of IL-17A gMFI as shown in (F). (<bold>H</bold>) Representative flow cytometry contour plots depicting intracellular staining of IL-17A in pT<sub>H</sub>17 differentiation conditions in RPMI or RPMI without Asn. (<bold>I</bold>) Quantification of the proportions of IL-17A-producing CD4<sup>+</sup> T cells under pT<sub>H</sub>17 differentiation conditions. (<bold>J</bold>) Quantification of IL-17A gMFI as shown in (I). Each dot in panels (C, D), (F, G), and (I, J) represents cells obtained from an individual animal. Results are shown as mean ± SD and are representative of at least two independent experiments. Non-significant (n.s.), *p&lt;0.05 **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001, one-way ANOVA with Dunnett’s multiple comparison test. Panel (A) was created with <ext-link ext-link-type="uri" xlink:href="https://biorender.com/dqco8fe">BioRender</ext-link>.</p><p><supplementary-material id="fig5sdata1"><label>Figure 5—source data 1.</label><caption><title>Results from CD4 T cell differentiation assays.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig5-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig5-v1.tif"/></fig><fig id="fig5s1" position="float" specific-use="child-fig"><label>Figure 5—figure supplement 1.</label><caption><title>Asparagine depletion impairs CD4<sup>+</sup> T cell transcription factor expression.</title><p>(<bold>A–E</bold>) Purified naive CD4<sup>+</sup> T cells were activated in vitro with plate-bound anti-CD3/CD28 mAbs under T helper 1 (T<sub>H</sub>1), pathogenic T helper 17 (pT<sub>H</sub>17), non-pathogenic T helper 17 (npT<sub>H</sub>17), T helper 2 (T<sub>H</sub>1), and induced T regulatory cell (iTreg) conditions in either complete RPMI (RPMI) media or Asn-deficient RPMI. On day 3, cells were restimulated for 4 hours with phorbol 12-myristate 13-acetate (PMA), ionomycin, brefeldin A, and monensin for intracellular staining. (<bold>A</bold>) Quantification of the proportions of Tbet-expressing CD4<sup>+</sup> T cells under T<sub>H</sub>1 differentiation conditions and TBET gMFI. (<bold>B</bold>) Quantification of the proportions of RORγT-expressing CD4<sup>+</sup> T cells under npT<sub>H</sub>17 differentiation conditions and RORγT gMFI. (<bold>C</bold>) Quantification of the proportions of RORγT-expressing CD4<sup>+</sup> T cells under pT<sub>H</sub>17 differentiation conditions and RORγT gMFI. (<bold>D</bold>) Quantification of the proportions of GATA3-expressing CD4<sup>+</sup> T cells under T<sub>H</sub>2 differentiation conditions and GATA3 gMFI. (<bold>E</bold>) Quantification of the proportions of FOXP3-expressing CD4<sup>+</sup> T cells under iTreg differentiation conditions and FOXP3 gMFI. Each dot represents cells obtained from an individual animal. Results are shown as mean ± SD and are pooled from two independent experiments. *p&lt;0.05 **p&lt;0.01, ****p&lt;0.0001, Student’s <italic>t</italic>-test.</p><p><supplementary-material id="fig5s1sdata1"><label>Figure 5—figure supplement 1—source data 1.</label><caption><title>Results from CD4+ T cell differentiation assays.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig5-figsupp1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig5-figsupp1-v1.tif"/></fig></fig-group></sec><sec id="s2-5"><title>Asn depletion ameliorates the severity of experimental autoimmune encephalomyelitis</title><p>We hypothesized that by exploiting the dependency of CD4<sup>+</sup> T cells on extracellular Asn by systemically depleting Asn bioavailability, we could modulate the severity of CD4<sup>+</sup> T cell-mediated pathologies, such as experimental autoimmune EAE. To do this, we first prophylactically administered a single dose of PEG-AsnASE to mice 1 day before inducing EAE through immunization with an emulsion of myelin oligodendrocyte glycoprotein (MOG) peptide, MOG<sub>35–55</sub>, in complete Freund’s adjuvant (CFA) followed by administration of pertussis toxin. Strikingly, while PBS treated controls developed EAE peaking around day 16, PEG-AsnASE treated mice exhibited significantly milder disease with delayed onset (<xref ref-type="fig" rid="fig6">Figure 6A–C</xref>). To evaluate the therapeutic potential of PEG-AsnASE in a more clinically relevant scenario, we delayed PEG-AsnASE treatment until day 8 after active immunization with MOG<sub>35–55</sub> (<xref ref-type="fig" rid="fig6">Figure 6D</xref>). Remarkably, a single dose of PEG-AsnASE was sufficient to attenuate disease severity and delay onset, similar to prophylactic PEG-AsnASE treatment, resulting in a substantially milder disease (<xref ref-type="fig" rid="fig6">Figure 6D–F</xref>). These results suggest that therapeutic Asn depletion has the potential to be an immunosuppressive strategy to target CD4<sup>+</sup> T cell-mediated autoimmune pathologies.</p><fig-group><fig id="fig6" position="float"><label>Figure 6.</label><caption><title>Asparagine deficiency ameliorates experimental autoimmune encephalomyelitis (EAE).</title><p>(<bold>A</bold>) Mice were treated with a single dose of 25 IUs of PEGylated-asparaginase (PEG-AsnASE) or PBS i.p. 1 day prior to immunization with MOG<sub>35-55</sub>/CFA and pertussis toxin (PTX) to induce EAE and monitored daily for signs of disease (PBS Control n=20, PEG-AsnASE n=20). (<bold>B</bold>) Quantification of the average maximal EAE scores in PBS vs. PEG-AsnASE treated mice. (<bold>C</bold>) Quantification of the mean day of onset in PBS vs. PEG-AsnASE treated mice. (<bold>D</bold>) EAE was induced by immunization with MOG<sub>35-55</sub>/CFA and pertussis toxin (PTX) and scored daily for disease. Mice were treated with a single dose of 25 IUs of PEG-AsnASE or PBS i.p. on day 8 of active EAE (PBS Control n=20, PEG-AsnASE n=20). (<bold>E</bold>) Quantification of the average maximal EAE scores in PBS vs. PEG-AsnASE treated mice. (<bold>F</bold>) Quantification of the mean day of onset in PBS vs. day 8 PEG-AsnASE treated mice. (<bold>G</bold>) Schematic of experimental design. Pathogenic T helper 17 (pT<sub>H</sub>17) cells were differentiated from naive CD4<sup>+</sup> FoxP3<sup>-</sup> T cells from 2D2 TCR transgenic mice in RPMI media with or without Asn, and viable 2D2 cells were adoptively transferred (4 × 10<sup>6</sup>/mouse) into 10-week-old C57BL/6J female recipients to induce EAE. Mice were monitored daily for disease. (<bold>H</bold>) Representative flow plot displaying the percentage of viable pT<sub>H</sub>17 polarized 2D2 cells in sufficient and deficient conditions prior to transfer. (<bold>I</bold>) Daily EAE scores (pT<sub>H</sub>17 RPMI n=11, pT<sub>H</sub>17 Asn-deficient RPMI n=10). (<bold>J</bold>) Quantification of the average maximal EAE scores in mice receiving pT<sub>H</sub>17 cells generated in the presence or absence of Asn. (<bold>K</bold>) Quantification of the proportions of CNS-infiltrating Vβ11<sup>+</sup>Vα3.2<sup>+</sup> 2D2 pT<sub>H</sub>17 cells at the peak of EAE (pT<sub>H</sub>17 RPMI n=16, pT<sub>H</sub>17 Asn-deficient RPMI n=12). (<bold>L</bold>) Quantification of the proportions of Vβ11<sup>+</sup>Vα3.2<sup>+</sup> 2D2 pT<sub>H</sub>17 cells actively undergoing apoptosis (Annexin-V<sup>+</sup>PI<sup>-</sup>) in the CNS and inguinal lymph node at the peak of EAE. (<bold>M</bold>) Quantification of the proportions of TMRM/MTG low 2D2 pT<sub>H</sub>17 cells in the CNS and inguinal lymph node at the peak of EAE. (<bold>N</bold>) Quantification of OPP gMFI in 2D2 pT<sub>H</sub>17 cells in the CNS and inguinal lymph node at the peak of EAE. (<bold>O</bold>) Quantification of the absolute numbers of the indicated cytokines expressed by 2D2 pT<sub>H</sub>17 cells in the CNS at the peak of EAE. Results are shown as mean ± SEM (<bold>A, D, I</bold>) or mean ± SD (<bold>B, C, E, F, J, O</bold>) and are pooled (<bold>A–F, I–K, M, O</bold>) or a representative of at least two independent experiments (<bold>H, L, N</bold>). Each dot represents an individual mouse (<bold>B, C, E, F, J, O</bold>) *p&lt;0.05 **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001 two-way ANOVA (A, D, I) and Student’s <italic>t</italic>-test (B, C, E, F, J–O). Panel (G) was created with <ext-link ext-link-type="uri" xlink:href="https://biorender.com/dqco8fe">BioRender</ext-link>.</p><p><supplementary-material id="fig6sdata1"><label>Figure 6—source data 1.</label><caption><title>Results from in vivo and ex vivo EAE experiments.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig6-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig6-v1.tif"/></fig><fig id="fig6s1" position="float" specific-use="child-fig"><label>Figure 6—figure supplement 1.</label><caption><title>Asparagine deprivation impairs pT<sub>H</sub>17 function in a model of induced EAE.</title><p>(<bold>A</bold>) Pathogenic T helper 17 (pT<sub>H</sub>17) cells were differentiated from naive CD4<sup>+</sup> FoxP3<sup>-</sup> T cells from 2D2 TCR transgenic mice in RPMI media with or without Asn. Viable pT<sub>H</sub>17 polarized 2D2 cells were adoptively transferred (4x10<sup>6</sup>/mouse) into 10-week-old C57BL/6J female recipients to induce EAE. Mice were scored daily for signs of disease (pT<sub>H</sub>17 RPMI n=16, pT<sub>H</sub>17 Asn-deficient RPMI n=12). (<bold>B</bold>) At peak EAE (day 16), 2D2 cells were isolated from the CNS and inguinal lymph (iLN) node and analyzed. Quantification of the absolute numbers of central nervous system (CNS)-infiltrating Vβ11<sup>+</sup>Vα3.2<sup>+</sup> 2D2 pT<sub>H</sub>17 cells at the peak of EAE. (<bold>C</bold>) Quantification of the proportions of Vβ11<sup>+</sup>Vα3.2<sup>+</sup> 2D2 pT<sub>H</sub>17 cells that have undergone apoptosis (Annexin-V<sup>+</sup>PI<sup>+</sup>) in the CNS and iLN node at the peak of EAE. (<bold>D, E</bold>) Mitotracker green (MTG) and tetramethyl rhodamine methyl ester (TMRM) gMFI in iLN and CNS infiltrating TCRVβ11<sup>+</sup>TCRVα3.2<sup>+</sup> CD4<sup>+</sup> T cells at the peak of EAE. Each dot represents an individual mouse (<bold>B–E</bold>). Results are shown as mean ± SD and are pooled (<bold>A, B</bold>) or a representative of at least 2 independent experiments (<bold>C–E</bold>). Non-significant (n.s.), *p&lt;0.05 **p&lt;0.01, ****p&lt;0.0001, two-way ANOVA (<bold>A</bold>), and Student’s <italic>t</italic>-test (<bold>B–E</bold>).</p><p><supplementary-material id="fig6s1sdata1"><label>Figure 6—figure supplement 1—source data 1.</label><caption><title>Results from ex vivo EAE experiments.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-107745-fig6-figsupp1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-107745-fig6-figsupp1-v1.tif"/></fig></fig-group></sec><sec id="s2-6"><title>pT<sub>H</sub>17 cells generated in the absence of extracellular Asn are poorly encephalitogenic and exhibit deficits in protein synthesis and mitochondrial fitness in vivo</title><p>Since systemic Asn depletion reduces the severity of EAE and pTH17 cells are key mediators of EAE, we next investigated how Asn depletion affects the pathogenic potential of pTH17 cells in vivo. We generated pTH17 cells from TCR(Vβ11<sup>+</sup>Vα3.2<sup>+</sup>) transgenic 2D2 mice, which express a TCR specific for myelin oligodendrocyte glycoprotein, using either standard RPMI or Asn-deficient RPMI media and compared their capacity to induce EAE in vivo. We adoptively transferred equal numbers of viable 2D2 pTH17 cells into Asn-sufficient WT C67BL/6J hosts and monitored mice for the development of EAE (<xref ref-type="fig" rid="fig6">Figure 6G and H</xref>). 2D2 pTH17 cells generated in Asn-deficient RPMI induced a milder disease compared to 2D2 pTH17 cells generated in RPMI (<xref ref-type="fig" rid="fig6">Figure 6I and J</xref>). Consistent with these observations, both the proportions and absolute numbers of 2D2 pTH17 T cells from Asn-deficient cultures were significantly reduced in the CNS of recipient mice at the peak of EAE (<xref ref-type="fig" rid="fig6">Figure 6K</xref>, <xref ref-type="fig" rid="fig6s1">Figure 6—figure supplement 1A and B</xref>). Furthermore, 2D2 pTH17 cells generated in Asn-deficient RPMI exhibited increased apoptosis, as determined by Annexin V, in the CNS and inguinal lymph nodes (iLN) at the peak EAE (<xref ref-type="fig" rid="fig6">Figure 6L</xref>, <xref ref-type="fig" rid="fig6s1">Figure 6—figure supplement 1C</xref>). Moreover, 2D2 pTH17 cells generated in Asn-deficient RPMI exhibited reduced MTG and TMRM gMFI in the CNS and iLN (<xref ref-type="fig" rid="fig6s1">Figure 6—figure supplement 1D and E</xref>). There was an enrichment of TMRM/MTG low 2D2 pTH17 cells in the iLN and CNS when differentiated in the absence of Asn (<xref ref-type="fig" rid="fig6">Figure 6M</xref>), consistent with the deleterious effects of PEG-AsnASE on mitochondrial function in in vitro activated CD4<sup>+</sup> T cells (<xref ref-type="fig" rid="fig4">Figure 4B and C</xref>).</p><p>We next assessed the ex vivo protein synthesis capability of 2D2 pTH17 isolated from the iLN and CNS, using the OPP probe. Both iLN and CNS-infiltrating 2D2 pTH17 differentiated in the absence of Asn exhibited a significant decrease in OPP gMFI at the peak of EAE, indicating reduced protein synthesis (<xref ref-type="fig" rid="fig6">Figure 6N</xref>). The absolute numbers of pathogenic cytokine-producing 2D2 pTH17 T cells generated in Asn-deficient cultures also were reduced in the CNS at the peak EAE (<xref ref-type="fig" rid="fig6">Figure 6O</xref>), further showing the negative impact of Asn deficiency on pTH17 protein synthesis capability. Taken together, these results suggest that the deprivation of extracellular Asn during pTH17 differentiation leads to deficits that reduce the pathogenic potential of autoreactive T cells.</p></sec></sec><sec id="s3" sec-type="discussion"><title>Discussion</title><p>Over the past two decades, there have been significant advances in our understanding of the metabolic processes involved in T cell function and lineage commitment. This has increased interest in the potential of modifying T cell responses using targeted metabolic perturbations (<xref ref-type="bibr" rid="bib24">MacIver et al., 2013</xref>; <xref ref-type="bibr" rid="bib26">Patel and Powell, 2017</xref>; <xref ref-type="bibr" rid="bib10">Corrado and Pearce, 2022</xref>). To meet the metabolic demands of activation and clonal expansion, T cells increase uptake of essential metabolic nutrients that fuel macromolecule biosynthetic processes. It is now appreciated that limiting availability of glucose (<xref ref-type="bibr" rid="bib2">Araujo et al., 2017</xref>; <xref ref-type="bibr" rid="bib6">Cham and Gajewski, 2005</xref>; <xref ref-type="bibr" rid="bib16">Jacobs et al., 2008</xref>), glutamine (<xref ref-type="bibr" rid="bib5">Carr et al., 2010</xref>; <xref ref-type="bibr" rid="bib25">Nakaya et al., 2014</xref>), alanine (<xref ref-type="bibr" rid="bib30">Ron-Harel et al., 2019</xref>), leucine (<xref ref-type="bibr" rid="bib1">Ananieva et al., 2016</xref>), methionine (<xref ref-type="bibr" rid="bib31">Roy et al., 2020</xref>), and arginine (<xref ref-type="bibr" rid="bib13">Geiger et al., 2016</xref>; <xref ref-type="bibr" rid="bib29">Rodriguez et al., 2007</xref>; <xref ref-type="bibr" rid="bib9">Choi et al., 2009</xref>) can lead to deficits in T cell activation and function. Our studies extend this understanding by revealing that extracellular Asn availability is essential for optimal activation and proliferation of helper CD4<sup>+</sup> T cells. This dependency is tightly linked to protein synthesis. By targeting this metabolic dependency, we show that Asn depletion can be used to ameliorate disease severity during autoimmunity driven by pTH17 cells. This is effective whether extracellular Asn is depleted prophylactically or later during active EAE. Our observations suggest that Asn deprivation could potentially restrict the function of pathogenic effector T cells in inflammatory and autoimmune disorders. In line with our findings, others have shown that amino acid deficiency can influence Th17 cell differentiation and EAE severity. Specifically, halofuginone, a molecule that mimics amino acid restriction by inhibiting prolyl-tRNA synthetase, blocks IL-23–induced STAT3 phosphorylation and IL-17 cytokine expression in memory Th17 cells. Halofuginone-treated memory Th17 cells exhibit reduced EAE severity in vivo, mirroring our observations in mice treated with PEG-AsnASE or Asn-deficient pTh17 cells (<xref ref-type="bibr" rid="bib33">Sundrud et al., 2009</xref>; <xref ref-type="bibr" rid="bib4">Carlson et al., 2014</xref>).</p><p>Our results build upon recent reports demonstrating the importance of extracellular Asn in the activation and proliferation of CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="bib15">Hope et al., 2021</xref>; <xref ref-type="bibr" rid="bib40">Wu et al., 2021</xref>; <xref ref-type="bibr" rid="bib7">Chang et al., 2025</xref>; <xref ref-type="bibr" rid="bib14">Gnanaprakasam et al., 2023</xref>; <xref ref-type="bibr" rid="bib12">Fernández-García et al., 2022</xref>). Consistent with our observations, extracellular Asn has been shown to be critical for TCR-induced activation, proliferation, and metabolic reprogramming of naive CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="bib15">Hope et al., 2021</xref>; <xref ref-type="bibr" rid="bib40">Wu et al., 2021</xref>). Although upregulation of ASNS enables CD8<sup>+</sup> T cells to function in the absence of extracellular Asn, ASNS-expressing CD8<sup>+</sup> T cells activated in Asn-deficient media exhibit significantly lower activation, proliferation, and effector molecule production compared to Asn-sufficient media (<xref ref-type="bibr" rid="bib15">Hope et al., 2021</xref>). Interestingly, pharmacological inhibition of ASNS activity only modestly decreases CD8<sup>+</sup> T cell function, suggesting that newly synthesized Asn has a lower impact than extracellular Asn on the initiation of CD8<sup>+</sup> T cell responses (<xref ref-type="bibr" rid="bib40">Wu et al., 2021</xref>). Our results also demonstrate that CD4<sup>+</sup> T cells require continuous extracellular Asn for optimal activation and proliferation, despite upregulating ASNS. The relative expression levels of ASNS and timing of Asn depletion also can influence the differentiation states of CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="bib14">Gnanaprakasam et al., 2023</xref>; <xref ref-type="bibr" rid="bib12">Fernández-García et al., 2022</xref>). While Asn depletion early during the differentiation of CD8<sup>+</sup> T cells favored the maintenance of an effector phenotype (<xref ref-type="bibr" rid="bib14">Gnanaprakasam et al., 2023</xref>; <xref ref-type="bibr" rid="bib12">Fernández-García et al., 2022</xref>), depletion of extracellular Asn late during CD8<sup>+</sup> T cell activation promoted polarization towards a central memory phenotype (<xref ref-type="bibr" rid="bib12">Fernández-García et al., 2022</xref>). We find that Asn depletion at early stages of T helper subset polarization inhibits lineage-defining cytokine production. However, further studies are needed to examine the requirement of Asn during later stages of activation and differentiation, as well as its role in supporting the longevity of CD4<sup>+</sup> helper T cell responses. In addition, it remains to be determined whether the generation of memory CD4<sup>+</sup> T cells or their recall responses similarly depend on extracellular Asn availability.</p><p>How does Asn depletion impair the proliferation and functional activity of T cells? In this work, we demonstrate that Asn functions as a proteinogenic amino acid, thereby promoting CD4<sup>+</sup> T cell proliferation and lineage-defining cytokine production. These results are consistent with observations in mammalian cell systems, which highlight the essentiality of Asn in the setting of glutamine deprivation (<xref ref-type="bibr" rid="bib21">Krall et al., 2016</xref>; <xref ref-type="bibr" rid="bib27">Pavlova et al., 2018</xref>). Studies have shown that simultaneous glutamine and Asn depletion cripples T cell activation and proliferation, similar to the effects seen when ASNS-deficient T cells are deprived of extracellular Asn (<xref ref-type="bibr" rid="bib15">Hope et al., 2021</xref>). Asn essentiality in glutamine deficient conditions is also reflected by their shared role as amino acid exchange factors. In a cell model of liposarcoma, Asn and glutamine export promoted import of amino acids crucial for one-carbon metabolism and mTOR activation (<xref ref-type="bibr" rid="bib21">Krall et al., 2016</xref>). Since both mTOR activation and one-carbon metabolism are upregulated after TCR stimulation, it is possible that Asn-mediated amino acid exchange activity contributes an additional functional role in supporting CD4<sup>+</sup> T cell activation and proliferation. Our work shows that Asn availability is important for the maintenance of mitochondrial mass and membrane potential, and its depletion promotes accumulation of depolarized mitochondria with a phenotype similar to those observed in exhausted CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="bib41">Yu et al., 2020</xref>). Given that Asn can directly bind to and enhance the activity of LCK (<xref ref-type="bibr" rid="bib40">Wu et al., 2021</xref>), a key TCR signaling kinase, it is possible that Asn might also interact with other proteins related to mitochondrial respiration. Future studies determining the interactome of Asn in activated T cells will be crucial for uncovering novel regulatory functions of Asn beyond protein synthesis.</p><p>Our finding that Asn deprivation can ameliorate the severity of EAE, even after the priming of CNS-reactive CD4<sup>+</sup> T cells, warrants further investigation in models of autoimmunity and immune dysregulation. It would be interesting to explore whether therapeutic asparaginase could be utilized to prevent the induction or severity of colitis or delay the spontaneous development of diabetes in NOD mice mediated by islet-reactive CD4<sup>+</sup> and CD8<sup>+</sup> T cells. Future studies should investigate whether targeted delivery of asparaginases to tissues with autoreactive T cells, such as the inflamed synovium in arthritis, can similarly ameliorate autoimmunity without compromising anti-pathogen immune response essential for the host. In addition, Asn depletion may be beneficial in managing life-threatening immune-related adverse events that some cancer patients develop with immune checkpoint blockade.</p><p>In summary, our studies reveal that extracellular Asn availability represents a metabolic vulnerability for the activation and differentiation of naive CD4<sup>+</sup> T cells, largely due to the requirement for Asn in sustaining protein synthesis. Therapeutic Asn depletion by targeted asparaginase treatment may provide a conceptually novel strategy for autoimmunity.</p></sec><sec id="s4" sec-type="materials|methods"><title>Materials and methods</title><sec id="s4-1"><title>Mice</title><p>Wild-type (WT) C57BL/6J (strain number: 000664) and 2D2 TCR transgenic female mice (strain number: 006912) were purchased from the Jackson Laboratories. 8–12-week-old female mice were used for all experiments. All mice were maintained under the guidelines and policies set by the Harvard Medical School Standing Committee on Animals and the National Institutes of Health. All mouse protocols were approved by the Harvard Medical Area Standing Committee on Animals.</p></sec><sec id="s4-2"><title>Isolation and activation of murine CD4<sup>+</sup> T cells</title><p>Naive CD4<sup>+</sup>CD62L<sup>+</sup>CD44<sup>-</sup> T cells were isolated from mouse spleens using the Naive CD4<sup>+</sup> T Cell Isolation Kit (Miltenyi Biotec) in accordance with the manufacturers’ protocols. Following isolation, naive CD4<sup>+</sup> T cells were stimulated with plate-bound anti-CD3 and anti-CD28 mAbs (Thermo Fisher Scientific) at a concentration of 4 μg/mL using a 96-well flat-bottom plate (10 × 10<sup>4</sup> cells/well). For proliferation studies, naive CD4<sup>+</sup> T cells were labeled with cell trace violet dye (Thermo Fisher Scientific) in accordance with the manufacturer’s protocol. Cells were subsequently cultured in standard RPMI-1640 supplemented with 10% heat inactivated FBS, 10 mM HEPES, 0.05 mM 2-mercaptoethanol, and 1% penicillin-streptomycin or Asn-deficient RPMI (Thermo Fisher Scientific) supplemented with 10% heat inactivated FBS, 10 mM HEPES, 0.05 mM 2-mercaptoethanol, and 1% penicillin-streptomycin. In some studies, standard RPMI media was treated with 10 IUs/L of PEGylated asparaginase (PEG-AsnASE) to remove Asn and used as an additional control. In studies in which amino acids were depleted, RPMI without amino acids (US Biological Sciences) was supplemented with 10% heat inactivated FBS, 10 mM HEPES, 0.05 mM 2-mercaptoethanol, and 1% penicillin-streptomycin, with pH adjustment to 7.3, and specific amino acids were added depending on desired amino acid composition. Concentrations for each added amino acid were based on Thermo Fisher Scientific RPMI Formulation (<ext-link ext-link-type="uri" xlink:href="https://www.thermofisher.com/us/en/home/technical-resources/media-formulation.114.html">https://www.thermofisher.com/us/en/home/technical-resources/media-formulation.114.html</ext-link>). All amino acids apart from threonine (Thermo Fisher Scientific) were purchased from Sigma-Aldrich. For additional activation studies, DMEM with glutamine (Thermo Fisher Scientific) was supplemented with 10% heat inactivated FBS and 1% penicillin-streptomycin and individual non-essential amino acids depending on desired condition. Prior to surface, intracellular and metabolic dye staining, cells were transferred to a 96 well V-bottom plate.</p></sec><sec id="s4-3"><title>CD4<sup>+</sup> helper T cell differentiation and intracellular staining</title><p>Naive CD4<sup>+</sup>CD62L<sup>+</sup>CD44<sup>-</sup> cells were isolated from mouse spleens using the Naive CD4<sup>+</sup> T Cell Isolation Kit (Miltenyi Biotec) in accordance with the manufacturer’s protocols. Following isolation, naive CD4<sup>+</sup> T cells were stimulated with plate-bound anti-CD3 and anti-CD28 mAbs (Thermo Fisher Scientific) at a concentration of 4 μg/mL in a 96-well flat-bottom plate (10 × 10<sup>4</sup> cells/well) and cultured in either RPMI, Asn-deficient RPMI, or RPMI treated with 10 IUs/L PEG-AsnASE. In some studies, 10 IUs/L PEG-AsnASE was added to cultures at 0, 6, 12, 24, and 36 hours following stimulation. Naive CD4<sup>+</sup> T cells were differentiated into distinct helper T (T<sub>H</sub>) cell subsets using the following polarization conditions and recombinant proteins and antibodies: For T<sub>H</sub>1 differentiation: 10 ng/mL IL-12 (Peprotech), 5 ng/mL IL-2 (Peprotech), and 10 μg/mL anti-IL-4 (Biolegend Clone 11B11). For non-pathogenic T<sub>H</sub>17 conditions: 20 ng/mL IL-6 (Peprotech), 2 ng/mL TGF-β1 (Peprotech), 10 μg/mL anti-IFN-γ (Biolegend Clone XMG1.2), 10 μg/mL anti-IL-4 (Biolegend Clone 11B11), and 10 μg/mL anti-IL-2 (Biolegend Clone JES6-1A12). For pathogenic T<sub>H</sub>17 conditions: 20 ng/mL IL-6 (Peprotech), 10 ng/mL IL-23 (R&amp;D Systems), 10 ng/mL IL-1β (Peprotech), 10 μg/mL anti-IFN-γ (Biolegend Clone XMG1.2), 10 μg/mL anti-IL-4 (Biolegend Clone 11B11), and 10 μg/mL anti-IL-2 (Biolegend Clone JES6-1A12). For T<sub>H</sub>2 differentiation conditions: 40 ng/mL IL-4 and 10 μg/mL anti-IFN-γ (Biolegend Clone XMG1.2). For iTreg differentiation conditions: 2.5 ng/mL TGF-β1 (Peprotech), 10 μg/mL anti-IL-4 (Biolegend Clone 11B11), and 10 μg/mL anti-IFN-γ (Biolegend Clone XMG1.2). On day 3, cells were re-stimulated using a 1 X eBioscience Cell Stimulation Cocktail (plus protein transport inhibitors) for 4 hours at 37°C and transferred to a 96 well V-bottom plate for intracellular staining. Cells were then washed two times using a 1X cell stain buffer solution (Biolegend) and stained with CD4 (Biolegend Clone RM4-5) and a 1:2000 fixable viability stain 780 (BD) for 30 minutes on ice, followed by two washes using 1X cell stain buffer. Intracellular staining was performed using the BD Cytofix/Cytoperm Fixation/Permeabilization Kit (BD) according to the manufacturer’s instructions. The following antibodies were diluted at 1:200 in 1X Perm buffer and used for intracellular staining: IL17A (Biolegend Clone TC11-18H10.1) and IFN-γ (Biolegend Clone XMG1.2). Acquisition was performed on a FACSymphony cytometer with DIVA software (BD), and data were analyzed using FCS Express Software (De Novo).</p></sec><sec id="s4-4"><title>Surface/intracellular staining and flow cytometry</title><p>Primary mouse cells were isolated from spleen and CNS including brain and spinal cord. Single-cell suspensions were incubated with 1:100 TruStain FcX (Biolegend) 1X DPBS solution for 15 minutes at room temperature to block Fc receptors. Viability was assessed using a fixable viability stain 780 (BD Biosciences) at a 1:1000 dilution in 1X DPBS for 20 minutes on ice followed by one wash in cell stain buffer (Biolegend). For surface staining, cell suspensions were incubated using cell stain buffer (Biolegend) and brilliant stain buffer (BD) at a 1:1 ratio for 30 minutes on ice in the dark followed by two washes with cell stain buffer (Biolegend). Cells were then resuspended in a 1X stabilizing fixative (BD) solution. Intracellular staining was performed using the BD Cytofix/Cytoperm Fixation/Permeabilization Kit (BD) according to the manufacturer’s instructions. The following antibodies were used: CD4 (Biolegend, RM4-5, 100412), CD25 (Biolegend, PC61, 102008), CD3 (BD Biosciences, 145-2C11, 553063), CD69 (Biolegend, H1.2F3, 104545), CD44 (Biolegend, IM7, 103043), CD71 (Biolegend, RI7217, 567258), PD-1 (BD Biosciences, RMP1-30, 568363), Foxp3 (Ebioscience, FJK-16s, 53577382), IL17A (Biolegend, TC11-18H10.1, 506922), IFNγ (Biolegend, XMG1.2, 505808), TCRVa3.2 (Biolegend, RR3-16, 553219), TCRβ (BD Biosciences, H57-597, 569248), GATA3 (Biolegend, 16E10A2, 653814), RORyT (eBioscience, B2D, 25-6981-82), CD45 (BD Biosciences, 30F11, 748370), IL-2 (Biolegend, JES6-5H4, 503818), Ki-67 (Biolegend, B56, 563756), GM-CSF (Biolegend, MP1-22E9, 505406), IL-22 (Biolegend, Poly5164, 516411), IL17F (Biolegend, 9D3.1C8, 517004), and Tbet (Biolegend, 4B10, 644810). Annexin-V staining was done using the FITC Annexin V Apoptosis Detection Kit I (BD) in accordance with the manufacturer’s instructions. Acquisition was performed on a FACSymphony cytometer with DIVA software (BD), and data were analyzed using FCS Express Software (De Novo).</p></sec><sec id="s4-5"><title>Mitochondrial and metabolic dye staining</title><p>Naive CD4<sup>+</sup>CD62L<sup>+</sup>CD44<sup>-</sup> cells were isolated from mouse spleens using the Naive CD4<sup>+</sup> T Cell Isolation Kit (Miltenyi Biotec) according to the manufacturer’s instructions. Following isolation, naive CD4<sup>+</sup> T cells were stimulated with plate-bound anti-CD3 and anti-CD28 mAbs (Thermo Fisher Scientific) at a concentration of 4 μg/mL in a 96-well flat-bottom plate (10 × 10<sup>4</sup> cells/well) and cultured in either RPMI, Asn-deficient RPMI, or RPMI treated with 10 IUs/L PEG-AsnASE. For Mitotracker green (Thermo Fisher Scientific) and tetramethyl rhodamine, Methyl Ester, Perchlorate (Thermo Fisher Scientific) staining, cells were subsequently incubated at 37°C for 30 minutes in 200 μL of prewarmed RPMI media containing 100 nM MTG and TMRM, followed by two washes in 1X DPBS. Viability and cell surface staining were performed as described above.</p></sec><sec id="s4-6"><title>Seahorse analysis</title><p>The oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) were evaluated under mitochondrial and glycolysis stress test conditions, respectively, following the manufacturer’s instructions and protocols, utilizing a XFe96 Extracellular Flux Analyzer (Agilent). 1 day prior to the measurement, an Agilent Seahorse XFe96 Sensor Cartridge (Agilent) was hydrated with HPLC grade water in a CO<sub>2</sub>-free incubator. On the subsequent day, the solution was replaced with XF Calibrant (Agilent), and the cartridge was maintained in a 37°C CO<sub>2</sub>-free incubator for a minimum of 2 hours. Naive CD4<sup>+</sup> T cells were stimulated with anti-CD3 and anti-CD28 mAbs (Thermo Fisher Scientific) at a concentration of 4 μg/mL in a flat-bottom 48-well plate for 2 days, using either RPMI, Asn-deficient RPMI, or RPMI treated with 10 IUs/mL PEG-AsnASE at 0, 6, 12, 24, and 36 hours following stimulation. After 48 hours, CD4<sup>+</sup> T cells were enumerated and transferred to a poly-D-lysine-coated Seahorse XF96 tissue culture microplate (Agilent) at a density of 100,000 cells/well. Seahorse XP RPMI or DMEM medium (Agilent), comprising 2 mM L-glutamine and 1 mM sodium pyruvate, was used for assessment of ECAR, and 10 mM glucose was added. In some experiments, asparaginase (AsnASE) from <italic>Escherichia coli</italic> (Sigma-Aldrich) was injected first for a final volume of 10 mM under mitochondrial stress test conditions. In additional experiments, naive CD4<sup>+</sup> T cells were stimulated with anti-CD3 and anti-CD28 mAbs at a concentration of 4 μg/mL in a flat-bottom 6-well plate for 1 day supplemented with either asparagine, alanine, glutamate, aspartate, or proline at a 0.38 mM final concentration. After 24 hours, CD4<sup>+</sup> T cells were processed as described above.</p></sec><sec id="s4-7"><title>Chemicals</title><p><sup>15</sup>N<sub>2</sub>-L-Asn hydrate [Chemical Formula H2*NCOCH2CH*(NH2)COOH:H20] was acquired from Cambridge Isotope Laboratories Inc (Cat # NLM-3286-0) with a documented purity ≥98% as determined by HPLC. For tracing studies, <sup>15</sup>N<sub>2</sub>-L-Asn hydrate was dissolved in Asn-deficient RPMI media at a final concentration of 0.38 mM. All PEG-AsnASE experiments were performed using pegaspargase (Oncaspar, Shire Pharmaceuticals, Lexington, MA), an FDA-approved PEGylated form of <italic>E. coli</italic> asparaginase.</p></sec><sec id="s4-8"><title>Immunoblotting</title><p>Equal numbers of cells were washed once with 1X DPBS and lysed by adding 1X SDS sample buffer (Sigma) with subsequent boiling for 15 minutes. The resulting cell extracts were clarified via centrifugation at 13,000×<italic>g</italic>, separated through SDS-PAGE, and then transferred to nitrocellulose membranes (Bio-Rad) using electrophoresis. Membranes were then immersed in Tris-buffered saline (TBST) buffer with 3% (w/v) bovine serum albumin (BSA) for a 30-minute blocking period, followed by incubation with ASNS primary antibody (Cell Signaling Technology) diluted in blocking buffer overnight at 4°C. Membranes were washed three times for 1 hour and subsequently incubated with anti-mouse IgG HRP-conjugated secondary antibody (Thermo Fisher Scientific) for 1 hour at RT, followed by three washes and visualization using the Western Lightning ECL Pro <ext-link ext-link-type="uri" xlink:href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/chemoluminescence">Chemiluminescence</ext-link> Substrate (PerkinElmer).</p></sec><sec id="s4-9"><title>Bulk RNA sequencing analysis</title><p>The original data was obtained from <ext-link ext-link-type="uri" xlink:href="https://www-ncbi-nlm-nih-gov.ezp-prod1.hul.harvard.edu/geo/query/acc.cgi?acc=GSE206304">GSE206304 </ext-link>(<xref ref-type="bibr" rid="bib36">Thakore et al., 2024</xref>) and reanalyzed to examine the expression of Asn metabolism-related genes including <italic>Asns</italic>, <italic>Asrgl1, Slc1a5, Slc38a2,</italic> and <italic>Slc6a14</italic> in helper T cells differentiated in vitro under T helper 1 (T<sub>H</sub>1), non-pathogenic T helper 17 (npT<sub>H</sub>17), and pathogenic T helper 17 (pT<sub>H</sub>17) polarizing conditions. Reads were aligned to the mm10 genome using Tophat, followed by duplicate removal, and htseq counts were used for the generation of gene count tables. Read counts were normalized using the DESeq2 package.</p></sec><sec id="s4-10"><title>Real-time PCR</title><p>Total DNA from CD4<sup>+</sup> T cells was extracted using the DNA Micro kit (QIAGEN). DNA was quantified using the Qubit dsDNA Quantification Assay Kits (Thermo Fisher Scientific). cDNA was subsequently synthesized using the iSCRIPT kit (Bio-Rad). Quantitative PCR analysis was conducted using the SYBR Green Fast Mix (Quanta BioSciences) on a LightCycler 96 Instrument (Roche). Primers used: Asns: F: 5′- <named-content content-type="sequence">GATCTTCATCGCACTCAGACA</named-content>-3′, R: 5′-<named-content content-type="sequence">CCTCTGCTCCAC</named-content> CTTCTCT-3′; Asrgl1: F: 5′- <named-content content-type="sequence">GATACTTTCCCCATGTCCTGTG</named-content>-3′, R: 5′-<named-content content-type="sequence">TTGGCTTACGCAACC</named-content> TCTAC-3′. DNA concentrations were within the linear range of the primers.</p></sec><sec id="s4-11"><title>OPP protein synthesis assay</title><p>Naive CD4<sup>+</sup>CD62L<sup>+</sup>CD44<sup>-</sup> cells were isolated from mouse spleens using the Naive CD4<sup>+</sup> T Cell Isolation Kit (Miltenyi Biotec) according to the manufacturer’s instructions. Following isolation, naive CD4<sup>+</sup> T cells were stimulated with plate-bound anti-CD3 and anti-CD28 mAbs (Thermo Fisher Scientific) at a concentration of 4 μg/mL in a 96-well flat-bottom plate (20 × 10<sup>4</sup> cells/well) and cultured in either RPMI or Asn-deficient RPMI. After 24 hours, 0.38 mM Asn was added to samples cultured in Asn-deficient RPMI, and cells were cultured for an additional 4 hours. For detection of nascent protein synthesis, the Click-iT Plus OPP Alexa Fluor 488 Protein Synthesis Assay Kit (Thermo Fisher Scientific) was used in accordance with the manufacturer’s protocols. As a positive control, some cell suspensions were treated with 50 μg/mL cycloheximide (Sigma-Aldrich) for 30 minutes at 37°C to block protein synthesis. Cell suspensions were then resuspended in 200 μL of a 1X stabilizing fixative (BD) solution, followed by flow cytometry assessment for OPP fluorescent intensity using a FACSymphony cytometer with DIVA software (BD).</p></sec><sec id="s4-12"><title>Isolation of protein and hydrolysis into amino acid monomers</title><p>Cell pellets were resuspended in 200 μL of lysis buffer containing 2% SDS, 150 mM NaCl, 50 mM Tris (pH 8.5), proteinase inhibitor mix (Roche), 5 mM DTT, and incubated on ice for 10 minutes followed by incubation at 60°C for 45 minutes. After cooling to room temperature, iodoacetamide was added to each sample for a final concentration of 14 mM, and the samples were incubated for an additional 45 minutes. The treated samples were then mixed with a solution consisting of 3 parts ice-cold methanol, 1 part chloroform, and 2.5 parts H<sub>2</sub>O, followed by centrifugation at 4000×<italic>g</italic> for 10 minutes. The top layer was then removed, and three parts of ice-cold methanol were added, followed by centrifugation at 4000×<italic>g</italic> for 5 minutes. Following removal of the top layer, the samples were mixed with three parts of ice-cold acetone, vortexed, and centrifuged at 4000×<italic>g</italic> for 5 minutes. The pellet was then washed with 2 mL of ice-cold acetone and stored at −80°C prior to chemical hydrolysis. The protein pellet obtained was resuspended in 6N HCl/acetic acid (50:50,100 μL) and subjected to heating at 95°C for 1 hour. The resulting aqueous solution was diluted into a mixture of 40% acetonitrile, 40% methanol, and 20% water, and analyzed by LC-MS.</p></sec><sec id="s4-13"><title>Induction of EAE</title><p>EAE was induced by immunization of 10-week-old female C57BL/6J mice with the Hooke Kit MOG<sub>35-55</sub>/CFA Emulsion PTX in accordance with the manufacturer’s instructions. Briefly, mice were acclimated in our animal facility for at least 7 days prior to immunization. For EAE induction, mice were immunized with 200 μg of antigen (MOG<sub>35-55</sub>) in emulsion with complete Freund’s adjuvant (CFA) in both flanks followed by administration of 120 ng pertussis toxin (PTX) on the day of immunization and the following day. Mice were monitored for signs of clinical disease and scored following the Hooke scoring system (<ext-link ext-link-type="uri" xlink:href="https://hookelabs.com/services/cro/eae/MouseEAEscoring.html">https://hookelabs.com/services/cro/eae/MouseEAEscoring.html</ext-link>). For analysis of cellular infiltrates in the CNS, brain and spinal cords were isolated at the peak of disease. Prior to CNS collection, mice were perfused with 1X DPBS and brains and spinal cords were mechanically dissociated through a 70 μm nylon cell strainer followed by digestion with Collagenase D (Sigma-Aldrich) for 20 minutes in a 37°C shaker. Digests were then filtered through a 70 μm strainer, resuspended in a 30% Percoll/DPBS solution, and overlaid over a 70% Percoll gradient for mononuclear cell isolation. Following centrifugation at 800×<italic>g</italic> for 30 minutes at room temperature, lymphocytes in the interface were collected, washed with RPMI media, and stimulated using a 1X eBioscience Cell Stimulation Cocktail plus protein transport inhibitors (Thermo Fisher Scientific) for 4 hours at 37°C. Cells were then centrifuged at 600×<italic>g</italic> for 3 minutes followed by resuspension in cell stain buffer (Biolegend) for subsequent flow cytometry staining.</p></sec><sec id="s4-14"><title>Pathogenic T<sub>H</sub>17 differentiation for EAE induction and adoptive transfer</title><p>Naive CD4<sup>+</sup>CD62<sup>+</sup> CD44<sup>-</sup> cells were isolated from the spleens of female 2D2 TCR transgenic mice using the Naive CD4<sup>+</sup> T Cell Isolation Kit (Miltenyi Biotec) in accordance with the manufacturer’s protocols. 2 × 10<sup>6</sup> naive CD4<sup>+</sup> T cells were then stimulated with plate-bound anti-CD3 and anti-CD28 mAbs (Thermo Fisher Scientific) at a concentration of 4 μg/mL in a 48-well flat-bottom plate and cultured for 3 days in either RPMI media or Asn-deficient RPMI media under pathogenic T<sub>H</sub>17 polarizing conditions: 20 ng/mL IL-6 (Peprotech), 10 ng/mL IL-23 (R&amp;D Systems), 10 ng/mL IL-1β (Peprotech), 10 μg/mL anti-IFN-γ (Biolegend Clone XMG1.2), and 10 μg/mL anti-IL-4 (Biolegend Clone 11B11). Cell suspensions were then rested for 2 days in the absence of TCR stimulation using either RPMI media or Asn-deficient RPMI media containing 20 ng/mL IL-23 (R&amp;D Systems). After 2 days of rest, cells were restimulated with plate-bound anti-CD3 and anti-CD28 mAbs (Thermo Fisher Scientific) at a concentration of 4 μg/mL in a flat-bottom 6-well plate for 2 days, followed by two washes in 1X DPBS. Following counting a small aliquot of cells to determine viability by flow cytometry, 4 × 10<sup>6</sup> viable T cells from each respective culture condition were transferred by intravenous injection into C57BL/6J female recipient mice to induce EAE. Mice were monitored for signs of clinical disease and scored following the Hooke scoring system.</p></sec><sec id="s4-15"><title>Statistical analysis</title><p>Statistics were computed with GraphPad Prism 9 software (GraphPad Software) using unpaired Student’s <italic>t</italic>-test for comparisons between two groups, one-way ANOVA followed by Tukey’s or Dunnett’s multiple comparison when comparing three or more groups, or two-way ANOVA for multiple comparisons within groups. Graphs containing EAE clinical scores represent mean values with error bars representing the standard error of the mean (SEM). Unless noted otherwise, all other data are represented as mean ± SD. P-values are denoted in figures as: *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001.</p></sec></sec></body><back><sec sec-type="additional-information" id="s5"><title>Additional information</title><fn-group content-type="competing-interest"><title>Competing interests</title><fn fn-type="COI-statement" id="conf1"><p>Has consulted for RA Capital and Astro Therapeutics and is currently an employee of Astrazeneca</p></fn><fn fn-type="COI-statement" id="conf2"><p>No competing interests declared</p></fn><fn fn-type="COI-statement" id="conf3"><p>Has consulted for Merck KGaA</p></fn><fn fn-type="COI-statement" id="conf4"><p>Has patents pending on the PHD3 pathway and is on the scientific advisory board for the journals Cell Metabolism, Molecular Cell, and companies Minovia, Alixia, Celine Bio and MitoQ; is a scientific founder and a consultant for Refuel Bio; receives unrelated research funding from Refuel Bio; is on the advisory board for the James P Allison Institute</p></fn><fn fn-type="COI-statement" id="conf5"><p>Currently has funding from Taiwan Bio and Calico Life Sciences LLC unrelated to the submitted work; serves on advisory boards for Elpiscience, Monopteros, Alixia, Bioentre, Corner Therapeutics, Glaxo Smith Kline, Amgen, Janssen, AltruBio, ImmVue, MabQuest, and Singulera; she is also on scientific advisory boards for the Massachusetts General Cancer Center, Program in Cellular and Molecular Medicine at Boston Children's Hospital, the Human Oncology and Pathogenesis Program at Memorial Sloan Kettering Cancer Center, the Gladstone Institute, and the Johns Hopkins Bloomberg-Kimmel Institute for Cancer Immunotherapy; she is an academic editor for the Journal of Experimental Medicine and has patents/pending royalties on the PD-1 pathway from Roche and Novartis</p></fn></fn-group><fn-group content-type="author-contribution"><title>Author contributions</title><fn fn-type="con" id="con1"><p>Conceptualization, Resources, Data curation, Formal analysis, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing – original draft, Writing – review and editing</p></fn><fn fn-type="con" id="con2"><p>Data curation, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing – original draft, Writing – review and editing</p></fn><fn fn-type="con" id="con3"><p>Conceptualization, Data curation, Formal analysis, Writing – review and editing</p></fn><fn fn-type="con" id="con4"><p>Data curation, Formal analysis, Investigation</p></fn><fn fn-type="con" id="con5"><p>Investigation</p></fn><fn fn-type="con" id="con6"><p>Resources, Data curation, Methodology</p></fn><fn fn-type="con" id="con7"><p>Investigation</p></fn><fn fn-type="con" id="con8"><p>Data curation, Formal analysis</p></fn><fn fn-type="con" id="con9"><p>Data curation, Methodology</p></fn><fn fn-type="con" id="con10"><p>Investigation</p></fn><fn fn-type="con" id="con11"><p>Investigation</p></fn><fn fn-type="con" id="con12"><p>Investigation</p></fn><fn fn-type="con" id="con13"><p>Resources, Supervision, Methodology</p></fn><fn fn-type="con" id="con14"><p>Conceptualization, Resources, Supervision, Funding acquisition, Project administration, Writing – review and editing</p></fn><fn fn-type="con" id="con15"><p>Conceptualization, Resources, Supervision, Funding acquisition, 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 mice were maintained under the guidelines and policies set by the Harvard Medical School Standing Committee on Animals (HMA IACUC) and the National Institutes of Health. All mouse protocols were approved by the HMA IACUC (protocol number IS00000066-6).</p></fn></fn-group></sec><sec sec-type="supplementary-material" id="s6"><title>Additional files</title><supplementary-material id="mdar"><label>MDAR checklist</label><media xlink:href="elife-107745-mdarchecklist1-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material></sec><sec sec-type="data-availability" id="s7"><title>Data availability</title><p>All data generated or analyses during this study are included in the manuscript and supporting files.</p><p>The following previously published dataset was used:</p><p><element-citation publication-type="data" specific-use="references" id="dataset1"><person-group person-group-type="author"><name><surname>Thakore</surname><given-names>PI</given-names></name><name><surname>Schnell</surname><given-names>A</given-names></name><name><surname>Huang</surname><given-names>L</given-names></name><name><surname>Zhao</surname><given-names>M</given-names></name><name><surname>Hou</surname><given-names>Y</given-names></name><name><surname>Christian</surname><given-names>E</given-names></name><name><surname>Zaghouani</surname><given-names>S</given-names></name><name><surname>Wang</surname><given-names>C</given-names></name><name><surname>Singh</surname><given-names>V</given-names></name><name><surname>Singaraju</surname><given-names>A</given-names></name><name><surname>Krishnan</surname><given-names>RK</given-names></name><name><surname>Kozoriz</surname><given-names>D</given-names></name><name><surname>Ma</surname><given-names>S</given-names></name><name><surname>Sankar</surname><given-names>V</given-names></name><name><surname>Notarbartolo</surname><given-names>S</given-names></name><name><surname>Buenrostro</surname><given-names>JD</given-names></name><name><surname>Sallusto</surname><given-names>F</given-names></name><name><surname>Patsopoulos</surname><given-names>NA</given-names></name><name><surname>Rozenblatt-Rosen</surname><given-names>O</given-names></name><name><surname>Kuchroo</surname><given-names>VK</given-names></name><name><surname>Regev</surname><given-names>A</given-names></name></person-group><year iso-8601-date="2024">2024</year><data-title>Population RNA-seq of in vitro polarized CD4 T cells</data-title><source>NCBI Gene Expression Omnibus</source><pub-id pub-id-type="accession" xlink:href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE206304">GSE206304</pub-id></element-citation></p></sec><ack id="ack"><title>Acknowledgements</title><p>This work was supported by NIH P01 AI056299, P01 AI039671, and AI108545 (to AHS), NIH U54 CA224088, and R01CA276866 (to AHS and MCH), and the Ludwig Center at Harvard Medical School, NIH U01 CA267827, and the Paul F Glenn Foundation for Medical Research to MCH. PG was supported by a predoctoral NIH fellowship 1F31CA281090-01. SH was supported by the Banting postdoctoral fellowship from the Canadian Institutes of Health Research (CIHR). KK is a Gilead Sciences Fellow of the Life Sciences Research Foundation. We would like to thank members of the Sharpe and Haigis laboratories for productive discussion.</p></ack><ref-list><title>References</title><ref id="bib1"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ananieva</surname><given-names>EA</given-names></name><name><surname>Powell</surname><given-names>JD</given-names></name><name><surname>Hutson</surname><given-names>SM</given-names></name></person-group><year iso-8601-date="2016">2016</year><article-title>Leucine metabolism in T cell activation: mTOR signaling and beyond</article-title><source>Advances in Nutrition</source><volume>7</volume><fpage>798S</fpage><lpage>805S</lpage><pub-id pub-id-type="doi">10.3945/an.115.011221</pub-id><pub-id pub-id-type="pmid">27422517</pub-id></element-citation></ref><ref id="bib2"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Araujo</surname><given-names>L</given-names></name><name><surname>Khim</surname><given-names>P</given-names></name><name><surname>Mkhikian</surname><given-names>H</given-names></name><name><surname>Mortales</surname><given-names>C-L</given-names></name><name><surname>Demetriou</surname><given-names>M</given-names></name></person-group><year iso-8601-date="2017">2017</year><article-title>Glycolysis and glutaminolysis cooperatively control T cell function by limiting metabolite supply to N-glycosylation</article-title><source>eLife</source><volume>6</volume><elocation-id>e21330</elocation-id><pub-id pub-id-type="doi">10.7554/eLife.21330</pub-id><pub-id pub-id-type="pmid">28059703</pub-id></element-citation></ref><ref id="bib3"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Buck</surname><given-names>MD</given-names></name><name><surname>O’Sullivan</surname><given-names>D</given-names></name><name><surname>Pearce</surname><given-names>EL</given-names></name></person-group><year iso-8601-date="2015">2015</year><article-title>T cell metabolism drives immunity</article-title><source>The Journal of Experimental Medicine</source><volume>212</volume><fpage>1345</fpage><lpage>1360</lpage><pub-id pub-id-type="doi">10.1084/jem.20151159</pub-id><pub-id pub-id-type="pmid">26261266</pub-id></element-citation></ref><ref id="bib4"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Carlson</surname><given-names>TJ</given-names></name><name><surname>Pellerin</surname><given-names>A</given-names></name><name><surname>Djuretic</surname><given-names>IM</given-names></name><name><surname>Trivigno</surname><given-names>C</given-names></name><name><surname>Koralov</surname><given-names>SB</given-names></name><name><surname>Rao</surname><given-names>A</given-names></name><name><surname>Sundrud</surname><given-names>MS</given-names></name></person-group><year iso-8601-date="2014">2014</year><article-title>Halofuginone-induced amino acid starvation regulates Stat3-dependent Th17 effector function and reduces established autoimmune inflammation</article-title><source>Journal of Immunology</source><volume>192</volume><fpage>2167</fpage><lpage>2176</lpage><pub-id pub-id-type="doi">10.4049/jimmunol.1302316</pub-id><pub-id pub-id-type="pmid">24489094</pub-id></element-citation></ref><ref id="bib5"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Carr</surname><given-names>EL</given-names></name><name><surname>Kelman</surname><given-names>A</given-names></name><name><surname>Wu</surname><given-names>GS</given-names></name><name><surname>Gopaul</surname><given-names>R</given-names></name><name><surname>Senkevitch</surname><given-names>E</given-names></name><name><surname>Aghvanyan</surname><given-names>A</given-names></name><name><surname>Turay</surname><given-names>AM</given-names></name><name><surname>Frauwirth</surname><given-names>KA</given-names></name></person-group><year iso-8601-date="2010">2010</year><article-title>Glutamine uptake and metabolism are coordinately regulated by ERK/MAPK during T lymphocyte activation</article-title><source>Journal of Immunology</source><volume>185</volume><fpage>1037</fpage><lpage>1044</lpage><pub-id pub-id-type="doi">10.4049/jimmunol.0903586</pub-id><pub-id pub-id-type="pmid">20554958</pub-id></element-citation></ref><ref id="bib6"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cham</surname><given-names>CM</given-names></name><name><surname>Gajewski</surname><given-names>TF</given-names></name></person-group><year iso-8601-date="2005">2005</year><article-title>Glucose availability regulates IFN-gamma production and p70S6 kinase activation in CD8+ effector T cells</article-title><source>Journal of Immunology</source><volume>174</volume><fpage>4670</fpage><lpage>4677</lpage><pub-id pub-id-type="doi">10.4049/jimmunol.174.8.4670</pub-id><pub-id pub-id-type="pmid">15814691</pub-id></element-citation></ref><ref id="bib7"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chang</surname><given-names>H-C</given-names></name><name><surname>Tsai</surname><given-names>C-Y</given-names></name><name><surname>Hsu</surname><given-names>C-L</given-names></name><name><surname>Tai</surname><given-names>T-S</given-names></name><name><surname>Cheng</surname><given-names>M-L</given-names></name><name><surname>Chuang</surname><given-names>Y-M</given-names></name><name><surname>Tang</surname><given-names>H-Y</given-names></name><name><surname>Lin</surname><given-names>K-J</given-names></name><name><surname>Chen</surname><given-names>J-J</given-names></name><name><surname>Chang</surname><given-names>S-H</given-names></name><name><surname>Ko</surname><given-names>Y-C</given-names></name><name><surname>Chi</surname><given-names>Y-W</given-names></name><name><surname>Liu</surname><given-names>H</given-names></name><name><surname>Tan</surname><given-names>BC-M</given-names></name><name><surname>Shen</surname><given-names>C-R</given-names></name><name><surname>Yang</surname><given-names>C-W</given-names></name><name><surname>Ho</surname><given-names>P-C</given-names></name><name><surname>Yang</surname><given-names>H-Y</given-names></name></person-group><year iso-8601-date="2025">2025</year><article-title>Asparagine deprivation enhances T cell antitumour response in patients via ROS-mediated metabolic and signal adaptations</article-title><source>Nature Metabolism</source><volume>7</volume><fpage>918</fpage><lpage>927</lpage><pub-id pub-id-type="doi">10.1038/s42255-025-01245-6</pub-id><pub-id pub-id-type="pmid">40045118</pub-id></element-citation></ref><ref id="bib8"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chapman</surname><given-names>NM</given-names></name><name><surname>Boothby</surname><given-names>MR</given-names></name><name><surname>Chi</surname><given-names>H</given-names></name></person-group><year iso-8601-date="2020">2020</year><article-title>Metabolic coordination of T cell quiescence and activation</article-title><source>Nature Reviews. Immunology</source><volume>20</volume><fpage>55</fpage><lpage>70</lpage><pub-id pub-id-type="doi">10.1038/s41577-019-0203-y</pub-id><pub-id pub-id-type="pmid">31406325</pub-id></element-citation></ref><ref id="bib9"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Choi</surname><given-names>B-S</given-names></name><name><surname>Martinez-Falero</surname><given-names>IC</given-names></name><name><surname>Corset</surname><given-names>C</given-names></name><name><surname>Munder</surname><given-names>M</given-names></name><name><surname>Modolell</surname><given-names>M</given-names></name><name><surname>Müller</surname><given-names>I</given-names></name><name><surname>Kropf</surname><given-names>P</given-names></name></person-group><year iso-8601-date="2009">2009</year><article-title>Differential impact of L-arginine deprivation on the activation and effector functions of T cells and macrophages</article-title><source>Journal of Leukocyte Biology</source><volume>85</volume><fpage>268</fpage><lpage>277</lpage><pub-id pub-id-type="doi">10.1189/jlb.0508310</pub-id><pub-id pub-id-type="pmid">19008294</pub-id></element-citation></ref><ref id="bib10"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Corrado</surname><given-names>M</given-names></name><name><surname>Pearce</surname><given-names>EL</given-names></name></person-group><year iso-8601-date="2022">2022</year><article-title>Targeting memory T cell metabolism to improve immunity</article-title><source>The Journal of Clinical Investigation</source><volume>132</volume><elocation-id>e148546</elocation-id><pub-id pub-id-type="doi">10.1172/JCI148546</pub-id><pub-id pub-id-type="pmid">34981777</pub-id></element-citation></ref><ref id="bib11"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Delgoffe</surname><given-names>GM</given-names></name><name><surname>Kole</surname><given-names>TP</given-names></name><name><surname>Zheng</surname><given-names>Y</given-names></name><name><surname>Zarek</surname><given-names>PE</given-names></name><name><surname>Matthews</surname><given-names>KL</given-names></name><name><surname>Xiao</surname><given-names>B</given-names></name><name><surname>Worley</surname><given-names>PF</given-names></name><name><surname>Kozma</surname><given-names>SC</given-names></name><name><surname>Powell</surname><given-names>JD</given-names></name></person-group><year iso-8601-date="2009">2009</year><article-title>The mTOR kinase differentially regulates effector and regulatory T cell lineage commitment</article-title><source>Immunity</source><volume>30</volume><fpage>832</fpage><lpage>844</lpage><pub-id pub-id-type="doi">10.1016/j.immuni.2009.04.014</pub-id><pub-id pub-id-type="pmid">19538929</pub-id></element-citation></ref><ref id="bib12"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fernández-García</surname><given-names>J</given-names></name><name><surname>Franco</surname><given-names>F</given-names></name><name><surname>Parik</surname><given-names>S</given-names></name><name><surname>Altea-Manzano</surname><given-names>P</given-names></name><name><surname>Pane</surname><given-names>AA</given-names></name><name><surname>Broekaert</surname><given-names>D</given-names></name><name><surname>van Elsen</surname><given-names>J</given-names></name><name><surname>Di Conza</surname><given-names>G</given-names></name><name><surname>Vermeire</surname><given-names>I</given-names></name><name><surname>Schalley</surname><given-names>T</given-names></name><name><surname>Planque</surname><given-names>M</given-names></name><name><surname>van Brussel</surname><given-names>T</given-names></name><name><surname>Schepers</surname><given-names>R</given-names></name><name><surname>Modave</surname><given-names>E</given-names></name><name><surname>Karakach</surname><given-names>TK</given-names></name><name><surname>Carmeliet</surname><given-names>P</given-names></name><name><surname>Lambrechts</surname><given-names>D</given-names></name><name><surname>Ho</surname><given-names>P-C</given-names></name><name><surname>Fendt</surname><given-names>S-M</given-names></name></person-group><year iso-8601-date="2022">2022</year><article-title>CD8<sup>+</sup> T cell metabolic rewiring defined by scRNA-seq identifies a critical role of ASNS expression dynamics in T cell differentiation</article-title><source>Cell Reports</source><volume>41</volume><elocation-id>111639</elocation-id><pub-id pub-id-type="doi">10.1016/j.celrep.2022.111639</pub-id><pub-id pub-id-type="pmid">36384124</pub-id></element-citation></ref><ref id="bib13"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Geiger</surname><given-names>R</given-names></name><name><surname>Rieckmann</surname><given-names>JC</given-names></name><name><surname>Wolf</surname><given-names>T</given-names></name><name><surname>Basso</surname><given-names>C</given-names></name><name><surname>Feng</surname><given-names>Y</given-names></name><name><surname>Fuhrer</surname><given-names>T</given-names></name><name><surname>Kogadeeva</surname><given-names>M</given-names></name><name><surname>Picotti</surname><given-names>P</given-names></name><name><surname>Meissner</surname><given-names>F</given-names></name><name><surname>Mann</surname><given-names>M</given-names></name><name><surname>Zamboni</surname><given-names>N</given-names></name><name><surname>Sallusto</surname><given-names>F</given-names></name><name><surname>Lanzavecchia</surname><given-names>A</given-names></name></person-group><year iso-8601-date="2016">2016</year><article-title>L-Arginine modulates T cell metabolism and enhances survival and anti-tumor activity</article-title><source>Cell</source><volume>167</volume><fpage>829</fpage><lpage>842</lpage><pub-id pub-id-type="doi">10.1016/j.cell.2016.09.031</pub-id><pub-id pub-id-type="pmid">27745970</pub-id></element-citation></ref><ref id="bib14"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gnanaprakasam</surname><given-names>JNR</given-names></name><name><surname>Kushwaha</surname><given-names>B</given-names></name><name><surname>Liu</surname><given-names>L</given-names></name><name><surname>Chen</surname><given-names>X</given-names></name><name><surname>Kang</surname><given-names>S</given-names></name><name><surname>Wang</surname><given-names>T</given-names></name><name><surname>Cassel</surname><given-names>TA</given-names></name><name><surname>Adams</surname><given-names>CM</given-names></name><name><surname>Higashi</surname><given-names>RM</given-names></name><name><surname>Scott</surname><given-names>DA</given-names></name><name><surname>Xin</surname><given-names>G</given-names></name><name><surname>Li</surname><given-names>Z</given-names></name><name><surname>Yang</surname><given-names>J</given-names></name><name><surname>Lane</surname><given-names>AN</given-names></name><name><surname>Fan</surname><given-names>TW-M</given-names></name><name><surname>Zhang</surname><given-names>J</given-names></name><name><surname>Wang</surname><given-names>R</given-names></name></person-group><year iso-8601-date="2023">2023</year><article-title>Asparagine restriction enhances CD8<sup>+</sup> T cell metabolic fitness and antitumoral functionality through an NRF2-dependent stress response</article-title><source>Nature Metabolism</source><volume>5</volume><fpage>1423</fpage><lpage>1439</lpage><pub-id pub-id-type="doi">10.1038/s42255-023-00856-1</pub-id><pub-id pub-id-type="pmid">37550596</pub-id></element-citation></ref><ref id="bib15"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hope</surname><given-names>HC</given-names></name><name><surname>Brownlie</surname><given-names>RJ</given-names></name><name><surname>Fife</surname><given-names>CM</given-names></name><name><surname>Steele</surname><given-names>L</given-names></name><name><surname>Lorger</surname><given-names>M</given-names></name><name><surname>Salmond</surname><given-names>RJ</given-names></name></person-group><year iso-8601-date="2021">2021</year><article-title>Coordination of asparagine uptake and asparagine synthetase expression modulates CD8+ T cell activation</article-title><source>JCI Insight</source><volume>6</volume><elocation-id>e137761</elocation-id><pub-id pub-id-type="doi">10.1172/jci.insight.137761</pub-id><pub-id pub-id-type="pmid">33822775</pub-id></element-citation></ref><ref id="bib16"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jacobs</surname><given-names>SR</given-names></name><name><surname>Herman</surname><given-names>CE</given-names></name><name><surname>MacIver</surname><given-names>NJ</given-names></name><name><surname>Wofford</surname><given-names>JA</given-names></name><name><surname>Wieman</surname><given-names>HL</given-names></name><name><surname>Hammen</surname><given-names>JJ</given-names></name><name><surname>Rathmell</surname><given-names>JC</given-names></name></person-group><year iso-8601-date="2008">2008</year><article-title>Glucose uptake is limiting in T Cell activation and requires CD28-mediated Akt-dependent and independent pathways</article-title><source>The Journal of Immunology</source><volume>180</volume><fpage>4476</fpage><lpage>4486</lpage><pub-id pub-id-type="doi">10.4049/jimmunol.180.7.4476</pub-id></element-citation></ref><ref id="bib17"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Johnson</surname><given-names>MO</given-names></name><name><surname>Wolf</surname><given-names>MM</given-names></name><name><surname>Madden</surname><given-names>MZ</given-names></name><name><surname>Andrejeva</surname><given-names>G</given-names></name><name><surname>Sugiura</surname><given-names>A</given-names></name><name><surname>Contreras</surname><given-names>DC</given-names></name><name><surname>Maseda</surname><given-names>D</given-names></name><name><surname>Liberti</surname><given-names>MV</given-names></name><name><surname>Paz</surname><given-names>K</given-names></name><name><surname>Kishton</surname><given-names>RJ</given-names></name><name><surname>Johnson</surname><given-names>ME</given-names></name><name><surname>de Cubas</surname><given-names>AA</given-names></name><name><surname>Wu</surname><given-names>P</given-names></name><name><surname>Li</surname><given-names>G</given-names></name><name><surname>Zhang</surname><given-names>Y</given-names></name><name><surname>Newcomb</surname><given-names>DC</given-names></name><name><surname>Wells</surname><given-names>AD</given-names></name><name><surname>Restifo</surname><given-names>NP</given-names></name><name><surname>Rathmell</surname><given-names>WK</given-names></name><name><surname>Locasale</surname><given-names>JW</given-names></name><name><surname>Davila</surname><given-names>ML</given-names></name><name><surname>Blazar</surname><given-names>BR</given-names></name><name><surname>Rathmell</surname><given-names>JC</given-names></name></person-group><year iso-8601-date="2018">2018</year><article-title>Distinct regulation of Th17 and Th1 cell differentiation by glutaminase-dependent metabolism</article-title><source>Cell</source><volume>175</volume><fpage>1780</fpage><lpage>1795</lpage><pub-id pub-id-type="doi">10.1016/j.cell.2018.10.001</pub-id><pub-id pub-id-type="pmid">30392958</pub-id></element-citation></ref><ref id="bib18"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kelly</surname><given-names>B</given-names></name><name><surname>Pearce</surname><given-names>EL</given-names></name></person-group><year iso-8601-date="2020">2020</year><article-title>Amino assets: how amino acids support immunity</article-title><source>Cell Metabolism</source><volume>32</volume><fpage>154</fpage><lpage>175</lpage><pub-id pub-id-type="doi">10.1016/j.cmet.2020.06.010</pub-id><pub-id pub-id-type="pmid">32649859</pub-id></element-citation></ref><ref id="bib19"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Klein Geltink</surname><given-names>RI</given-names></name><name><surname>Kyle</surname><given-names>RL</given-names></name><name><surname>Pearce</surname><given-names>EL</given-names></name></person-group><year iso-8601-date="2018">2018</year><article-title>Unraveling the complex interplay between T cell metabolism and function</article-title><source>Annual Review of Immunology</source><volume>36</volume><fpage>461</fpage><lpage>488</lpage><pub-id pub-id-type="doi">10.1146/annurev-immunol-042617-053019</pub-id></element-citation></ref><ref id="bib20"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Klysz</surname><given-names>D</given-names></name><name><surname>Tai</surname><given-names>X</given-names></name><name><surname>Robert</surname><given-names>PA</given-names></name><name><surname>Craveiro</surname><given-names>M</given-names></name><name><surname>Cretenet</surname><given-names>G</given-names></name><name><surname>Oburoglu</surname><given-names>L</given-names></name><name><surname>Mongellaz</surname><given-names>C</given-names></name><name><surname>Floess</surname><given-names>S</given-names></name><name><surname>Fritz</surname><given-names>V</given-names></name><name><surname>Matias</surname><given-names>MI</given-names></name><name><surname>Yong</surname><given-names>C</given-names></name><name><surname>Surh</surname><given-names>N</given-names></name><name><surname>Marie</surname><given-names>JC</given-names></name><name><surname>Huehn</surname><given-names>J</given-names></name><name><surname>Zimmermann</surname><given-names>V</given-names></name><name><surname>Kinet</surname><given-names>S</given-names></name><name><surname>Dardalhon</surname><given-names>V</given-names></name><name><surname>Taylor</surname><given-names>N</given-names></name></person-group><year iso-8601-date="2015">2015</year><article-title>Glutamine-dependent α-ketoglutarate production regulates the balance between T helper 1 cell and regulatory T cell generation</article-title><source>Science Signaling</source><volume>8</volume><elocation-id>ra97</elocation-id><pub-id pub-id-type="doi">10.1126/scisignal.aab2610</pub-id><pub-id pub-id-type="pmid">26420908</pub-id></element-citation></ref><ref id="bib21"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Krall</surname><given-names>AS</given-names></name><name><surname>Xu</surname><given-names>S</given-names></name><name><surname>Graeber</surname><given-names>TG</given-names></name><name><surname>Braas</surname><given-names>D</given-names></name><name><surname>Christofk</surname><given-names>HR</given-names></name></person-group><year iso-8601-date="2016">2016</year><article-title>Asparagine promotes cancer cell proliferation through use as an amino acid exchange factor</article-title><source>Nature Communications</source><volume>7</volume><elocation-id>11457</elocation-id><pub-id pub-id-type="doi">10.1038/ncomms11457</pub-id><pub-id pub-id-type="pmid">27126896</pub-id></element-citation></ref><ref id="bib22"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname><given-names>K</given-names></name><name><surname>Gudapati</surname><given-names>P</given-names></name><name><surname>Dragovic</surname><given-names>S</given-names></name><name><surname>Spencer</surname><given-names>C</given-names></name><name><surname>Joyce</surname><given-names>S</given-names></name><name><surname>Killeen</surname><given-names>N</given-names></name><name><surname>Magnuson</surname><given-names>MA</given-names></name><name><surname>Boothby</surname><given-names>M</given-names></name></person-group><year iso-8601-date="2010">2010</year><article-title>Mammalian target of rapamycin protein complex 2 regulates differentiation of Th1 and Th2 cell subsets via distinct signaling pathways</article-title><source>Immunity</source><volume>32</volume><fpage>743</fpage><lpage>753</lpage><pub-id pub-id-type="doi">10.1016/j.immuni.2010.06.002</pub-id><pub-id pub-id-type="pmid">20620941</pub-id></element-citation></ref><ref id="bib23"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ma</surname><given-names>EH</given-names></name><name><surname>Bantug</surname><given-names>G</given-names></name><name><surname>Griss</surname><given-names>T</given-names></name><name><surname>Condotta</surname><given-names>S</given-names></name><name><surname>Johnson</surname><given-names>RM</given-names></name><name><surname>Samborska</surname><given-names>B</given-names></name><name><surname>Mainolfi</surname><given-names>N</given-names></name><name><surname>Suri</surname><given-names>V</given-names></name><name><surname>Guak</surname><given-names>H</given-names></name><name><surname>Balmer</surname><given-names>ML</given-names></name><name><surname>Verway</surname><given-names>MJ</given-names></name><name><surname>Raissi</surname><given-names>TC</given-names></name><name><surname>Tsui</surname><given-names>H</given-names></name><name><surname>Boukhaled</surname><given-names>G</given-names></name><name><surname>Henriques da Costa</surname><given-names>S</given-names></name><name><surname>Frezza</surname><given-names>C</given-names></name><name><surname>Krawczyk</surname><given-names>CM</given-names></name><name><surname>Friedman</surname><given-names>A</given-names></name><name><surname>Manfredi</surname><given-names>M</given-names></name><name><surname>Richer</surname><given-names>MJ</given-names></name><name><surname>Hess</surname><given-names>C</given-names></name><name><surname>Jones</surname><given-names>RG</given-names></name></person-group><year iso-8601-date="2017">2017</year><article-title>Serine is an essential metabolite for effector T cell expansion</article-title><source>Cell Metabolism</source><volume>25</volume><fpage>345</fpage><lpage>357</lpage><pub-id pub-id-type="doi">10.1016/j.cmet.2016.12.011</pub-id><pub-id pub-id-type="pmid">28111214</pub-id></element-citation></ref><ref id="bib24"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>MacIver</surname><given-names>NJ</given-names></name><name><surname>Michalek</surname><given-names>RD</given-names></name><name><surname>Rathmell</surname><given-names>JC</given-names></name></person-group><year iso-8601-date="2013">2013</year><article-title>Metabolic regulation of T lymphocytes</article-title><source>Annual Review of Immunology</source><volume>31</volume><fpage>259</fpage><lpage>283</lpage><pub-id pub-id-type="doi">10.1146/annurev-immunol-032712-095956</pub-id><pub-id pub-id-type="pmid">23298210</pub-id></element-citation></ref><ref id="bib25"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nakaya</surname><given-names>M</given-names></name><name><surname>Xiao</surname><given-names>Y</given-names></name><name><surname>Zhou</surname><given-names>X</given-names></name><name><surname>Chang</surname><given-names>J-H</given-names></name><name><surname>Chang</surname><given-names>M</given-names></name><name><surname>Cheng</surname><given-names>X</given-names></name><name><surname>Blonska</surname><given-names>M</given-names></name><name><surname>Lin</surname><given-names>X</given-names></name><name><surname>Sun</surname><given-names>S-C</given-names></name></person-group><year iso-8601-date="2014">2014</year><article-title>Inflammatory T cell responses rely on amino acid transporter ASCT2 facilitation of glutamine uptake and mTORC1 kinase activation</article-title><source>Immunity</source><volume>40</volume><fpage>692</fpage><lpage>705</lpage><pub-id pub-id-type="doi">10.1016/j.immuni.2014.04.007</pub-id><pub-id pub-id-type="pmid">24792914</pub-id></element-citation></ref><ref id="bib26"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Patel</surname><given-names>CH</given-names></name><name><surname>Powell</surname><given-names>JD</given-names></name></person-group><year iso-8601-date="2017">2017</year><article-title>Targeting T cell metabolism to regulate T cell activation, differentiation and function in disease</article-title><source>Current Opinion in Immunology</source><volume>46</volume><fpage>82</fpage><lpage>88</lpage><pub-id pub-id-type="doi">10.1016/j.coi.2017.04.006</pub-id><pub-id pub-id-type="pmid">28521236</pub-id></element-citation></ref><ref id="bib27"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pavlova</surname><given-names>NN</given-names></name><name><surname>Hui</surname><given-names>S</given-names></name><name><surname>Ghergurovich</surname><given-names>JM</given-names></name><name><surname>Fan</surname><given-names>J</given-names></name><name><surname>Intlekofer</surname><given-names>AM</given-names></name><name><surname>White</surname><given-names>RM</given-names></name><name><surname>Rabinowitz</surname><given-names>JD</given-names></name><name><surname>Thompson</surname><given-names>CB</given-names></name><name><surname>Zhang</surname><given-names>J</given-names></name></person-group><year iso-8601-date="2018">2018</year><article-title>As extracellular glutamine levels decline, asparagine becomes an essential amino acid</article-title><source>Cell Metabolism</source><volume>27</volume><fpage>428</fpage><lpage>438</lpage><pub-id pub-id-type="doi">10.1016/j.cmet.2017.12.006</pub-id><pub-id pub-id-type="pmid">29337136</pub-id></element-citation></ref><ref id="bib28"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Puleston</surname><given-names>DJ</given-names></name><name><surname>Baixauli</surname><given-names>F</given-names></name><name><surname>Sanin</surname><given-names>DE</given-names></name><name><surname>Edwards-Hicks</surname><given-names>J</given-names></name><name><surname>Villa</surname><given-names>M</given-names></name><name><surname>Kabat</surname><given-names>AM</given-names></name><name><surname>Kamiński</surname><given-names>MM</given-names></name><name><surname>Stanckzak</surname><given-names>M</given-names></name><name><surname>Weiss</surname><given-names>HJ</given-names></name><name><surname>Grzes</surname><given-names>KM</given-names></name><name><surname>Piletic</surname><given-names>K</given-names></name><name><surname>Field</surname><given-names>CS</given-names></name><name><surname>Corrado</surname><given-names>M</given-names></name><name><surname>Haessler</surname><given-names>F</given-names></name><name><surname>Wang</surname><given-names>C</given-names></name><name><surname>Musa</surname><given-names>Y</given-names></name><name><surname>Schimmelpfennig</surname><given-names>L</given-names></name><name><surname>Flachsmann</surname><given-names>L</given-names></name><name><surname>Mittler</surname><given-names>G</given-names></name><name><surname>Yosef</surname><given-names>N</given-names></name><name><surname>Kuchroo</surname><given-names>VK</given-names></name><name><surname>Buescher</surname><given-names>JM</given-names></name><name><surname>Balabanov</surname><given-names>S</given-names></name><name><surname>Pearce</surname><given-names>EJ</given-names></name><name><surname>Green</surname><given-names>DR</given-names></name><name><surname>Pearce</surname><given-names>EL</given-names></name></person-group><year iso-8601-date="2021">2021</year><article-title>Polyamine metabolism is a central determinant of helper T cell lineage fidelity</article-title><source>Cell</source><volume>184</volume><fpage>4186</fpage><lpage>4202</lpage><pub-id pub-id-type="doi">10.1016/j.cell.2021.06.007</pub-id><pub-id pub-id-type="pmid">34216540</pub-id></element-citation></ref><ref id="bib29"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rodriguez</surname><given-names>PC</given-names></name><name><surname>Quiceno</surname><given-names>DG</given-names></name><name><surname>Ochoa</surname><given-names>AC</given-names></name></person-group><year iso-8601-date="2007">2007</year><article-title>L-arginine availability regulates T-lymphocyte cell-cycle progression</article-title><source>Blood</source><volume>109</volume><fpage>1568</fpage><lpage>1573</lpage><pub-id pub-id-type="doi">10.1182/blood-2006-06-031856</pub-id><pub-id pub-id-type="pmid">17023580</pub-id></element-citation></ref><ref id="bib30"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ron-Harel</surname><given-names>N</given-names></name><name><surname>Ghergurovich</surname><given-names>JM</given-names></name><name><surname>Notarangelo</surname><given-names>G</given-names></name><name><surname>LaFleur</surname><given-names>MW</given-names></name><name><surname>Tsubosaka</surname><given-names>Y</given-names></name><name><surname>Sharpe</surname><given-names>AH</given-names></name><name><surname>Rabinowitz</surname><given-names>JD</given-names></name><name><surname>Haigis</surname><given-names>MC</given-names></name></person-group><year iso-8601-date="2019">2019</year><article-title>T cell activation depends on extracellular alanine</article-title><source>Cell Reports</source><volume>28</volume><fpage>3011</fpage><lpage>3021</lpage><pub-id pub-id-type="doi">10.1016/j.celrep.2019.08.034</pub-id><pub-id pub-id-type="pmid">31533027</pub-id></element-citation></ref><ref id="bib31"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Roy</surname><given-names>DG</given-names></name><name><surname>Chen</surname><given-names>J</given-names></name><name><surname>Mamane</surname><given-names>V</given-names></name><name><surname>Ma</surname><given-names>EH</given-names></name><name><surname>Muhire</surname><given-names>BM</given-names></name><name><surname>Sheldon</surname><given-names>RD</given-names></name><name><surname>Shorstova</surname><given-names>T</given-names></name><name><surname>Koning</surname><given-names>R</given-names></name><name><surname>Johnson</surname><given-names>RM</given-names></name><name><surname>Esaulova</surname><given-names>E</given-names></name><name><surname>Williams</surname><given-names>KS</given-names></name><name><surname>Hayes</surname><given-names>S</given-names></name><name><surname>Steadman</surname><given-names>M</given-names></name><name><surname>Samborska</surname><given-names>B</given-names></name><name><surname>Swain</surname><given-names>A</given-names></name><name><surname>Daigneault</surname><given-names>A</given-names></name><name><surname>Chubukov</surname><given-names>V</given-names></name><name><surname>Roddy</surname><given-names>TP</given-names></name><name><surname>Foulkes</surname><given-names>W</given-names></name><name><surname>Pospisilik</surname><given-names>JA</given-names></name><name><surname>Bourgeois-Daigneault</surname><given-names>MC</given-names></name><name><surname>Artyomov</surname><given-names>MN</given-names></name><name><surname>Witcher</surname><given-names>M</given-names></name><name><surname>Krawczyk</surname><given-names>CM</given-names></name><name><surname>Larochelle</surname><given-names>C</given-names></name><name><surname>Jones</surname><given-names>RG</given-names></name></person-group><year iso-8601-date="2020">2020</year><article-title>Methionine metabolism shapes T helper cell responses through regulation of epigenetic reprogramming</article-title><source>Cell Metabolism</source><volume>31</volume><fpage>250</fpage><lpage>266</lpage><pub-id pub-id-type="doi">10.1016/j.cmet.2020.01.006</pub-id><pub-id pub-id-type="pmid">32023446</pub-id></element-citation></ref><ref id="bib32"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sinclair</surname><given-names>LV</given-names></name><name><surname>Rolf</surname><given-names>J</given-names></name><name><surname>Emslie</surname><given-names>E</given-names></name><name><surname>Shi</surname><given-names>YB</given-names></name><name><surname>Taylor</surname><given-names>PM</given-names></name><name><surname>Cantrell</surname><given-names>DA</given-names></name></person-group><year iso-8601-date="2013">2013</year><article-title>Control of amino-acid transport by antigen receptors coordinates the metabolic reprogramming essential for T cell differentiation</article-title><source>Nature Immunology</source><volume>14</volume><fpage>500</fpage><lpage>508</lpage><pub-id pub-id-type="doi">10.1038/ni.2556</pub-id></element-citation></ref><ref id="bib33"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sundrud</surname><given-names>MS</given-names></name><name><surname>Koralov</surname><given-names>SB</given-names></name><name><surname>Feuerer</surname><given-names>M</given-names></name><name><surname>Calado</surname><given-names>DP</given-names></name><name><surname>Kozhaya</surname><given-names>AE</given-names></name><name><surname>Rhule-Smith</surname><given-names>A</given-names></name><name><surname>Lefebvre</surname><given-names>RE</given-names></name><name><surname>Unutmaz</surname><given-names>D</given-names></name><name><surname>Mazitschek</surname><given-names>R</given-names></name><name><surname>Waldner</surname><given-names>H</given-names></name><name><surname>Whitman</surname><given-names>M</given-names></name><name><surname>Keller</surname><given-names>T</given-names></name><name><surname>Rao</surname><given-names>A</given-names></name></person-group><year iso-8601-date="2009">2009</year><article-title>Halofuginone inhibits TH17 cell differentiation by activating the amino acid starvation response</article-title><source>Science</source><volume>324</volume><fpage>1334</fpage><lpage>1338</lpage><pub-id pub-id-type="doi">10.1126/science.1172638</pub-id><pub-id pub-id-type="pmid">19498172</pub-id></element-citation></ref><ref id="bib34"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Takach</surname><given-names>E</given-names></name><name><surname>O’Shea</surname><given-names>T</given-names></name><name><surname>Liu</surname><given-names>H</given-names></name></person-group><year iso-8601-date="2014">2014</year><article-title>High-throughput quantitation of amino acids in rat and mouse biological matrices using stable isotope labeling and UPLC-MS/MS analysis</article-title><source>Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences</source><volume>964</volume><fpage>180</fpage><lpage>190</lpage><pub-id pub-id-type="doi">10.1016/j.jchromb.2014.04.043</pub-id><pub-id pub-id-type="pmid">24842860</pub-id></element-citation></ref><ref id="bib35"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tanaka</surname><given-names>T</given-names></name><name><surname>Mochida</surname><given-names>T</given-names></name><name><surname>Maki</surname><given-names>Y</given-names></name><name><surname>Shiraki</surname><given-names>Y</given-names></name><name><surname>Mori</surname><given-names>H</given-names></name><name><surname>Matsumoto</surname><given-names>S</given-names></name><name><surname>Shimbo</surname><given-names>K</given-names></name><name><surname>Ando</surname><given-names>T</given-names></name><name><surname>Nakamura</surname><given-names>K</given-names></name><name><surname>Endo</surname><given-names>F</given-names></name><name><surname>Okamoto</surname><given-names>M</given-names></name></person-group><year iso-8601-date="2013">2013</year><article-title>Interactive network analysis of the plasma amino acids profile in a mouse model of hyperglycemia</article-title><source>SpringerPlus</source><volume>2</volume><elocation-id>287</elocation-id><pub-id pub-id-type="doi">10.1186/2193-1801-2-287</pub-id><pub-id pub-id-type="pmid">23853755</pub-id></element-citation></ref><ref id="bib36"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Thakore</surname><given-names>PI</given-names></name><name><surname>Schnell</surname><given-names>A</given-names></name><name><surname>Huang</surname><given-names>L</given-names></name><name><surname>Zhao</surname><given-names>M</given-names></name><name><surname>Hou</surname><given-names>Y</given-names></name><name><surname>Christian</surname><given-names>E</given-names></name><name><surname>Zaghouani</surname><given-names>S</given-names></name><name><surname>Wang</surname><given-names>C</given-names></name><name><surname>Singh</surname><given-names>V</given-names></name><name><surname>Singaraju</surname><given-names>A</given-names></name><name><surname>Krishnan</surname><given-names>RK</given-names></name><name><surname>Kozoriz</surname><given-names>D</given-names></name><name><surname>Ma</surname><given-names>S</given-names></name><name><surname>Sankar</surname><given-names>V</given-names></name><name><surname>Notarbartolo</surname><given-names>S</given-names></name><name><surname>Buenrostro</surname><given-names>JD</given-names></name><name><surname>Sallusto</surname><given-names>F</given-names></name><name><surname>Patsopoulos</surname><given-names>NA</given-names></name><name><surname>Rozenblatt-Rosen</surname><given-names>O</given-names></name><name><surname>Kuchroo</surname><given-names>VK</given-names></name><name><surname>Regev</surname><given-names>A</given-names></name></person-group><year iso-8601-date="2024">2024</year><article-title>BACH2 regulates diversification of regulatory and proinflammatory chromatin states in T<sub>H</sub>17 cells</article-title><source>Nature Immunology</source><volume>25</volume><fpage>1395</fpage><lpage>1410</lpage><pub-id pub-id-type="doi">10.1038/s41590-024-01901-1</pub-id><pub-id pub-id-type="pmid">39009838</pub-id></element-citation></ref><ref id="bib37"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>C</given-names></name><name><surname>Ye</surname><given-names>Y</given-names></name><name><surname>Zhao</surname><given-names>M</given-names></name><name><surname>Chen</surname><given-names>Q</given-names></name><name><surname>Liu</surname><given-names>B</given-names></name><name><surname>Ren</surname><given-names>W</given-names></name></person-group><year iso-8601-date="2025">2025</year><article-title>Asparagine transporter supports macrophage inflammation via histone phosphorylation</article-title><source>Science Advances</source><volume>11</volume><elocation-id>eads3506</elocation-id><pub-id pub-id-type="doi">10.1126/sciadv.ads3506</pub-id></element-citation></ref><ref id="bib38"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Warburg</surname><given-names>O</given-names></name><name><surname>Wind</surname><given-names>F</given-names></name><name><surname>Negelein</surname><given-names>E</given-names></name></person-group><year iso-8601-date="1927">1927</year><article-title>The metabolism of tumors in the body</article-title><source>The Journal of General Physiology</source><volume>8</volume><fpage>519</fpage><lpage>530</lpage><pub-id pub-id-type="doi">10.1085/jgp.8.6.519</pub-id><pub-id pub-id-type="pmid">19872213</pub-id></element-citation></ref><ref id="bib39"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wei</surname><given-names>J</given-names></name><name><surname>Raynor</surname><given-names>J</given-names></name><name><surname>Nguyen</surname><given-names>TLM</given-names></name><name><surname>Chi</surname><given-names>H</given-names></name></person-group><year iso-8601-date="2017">2017</year><article-title>Nutrient and metabolic sensing in T cell responses</article-title><source>Frontiers in Immunology</source><volume>8</volume><elocation-id>247</elocation-id><pub-id pub-id-type="doi">10.3389/fimmu.2017.00247</pub-id><pub-id pub-id-type="pmid">28337199</pub-id></element-citation></ref><ref id="bib40"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname><given-names>J</given-names></name><name><surname>Li</surname><given-names>G</given-names></name><name><surname>Li</surname><given-names>L</given-names></name><name><surname>Li</surname><given-names>D</given-names></name><name><surname>Dong</surname><given-names>Z</given-names></name><name><surname>Jiang</surname><given-names>P</given-names></name></person-group><year iso-8601-date="2021">2021</year><article-title>Asparagine enhances LCK signalling to potentiate CD8<sup>+</sup> T-cell activation and anti-tumour responses</article-title><source>Nature Cell Biology</source><volume>23</volume><fpage>75</fpage><lpage>86</lpage><pub-id pub-id-type="doi">10.1038/s41556-020-00615-4</pub-id><pub-id pub-id-type="pmid">33420490</pub-id></element-citation></ref><ref id="bib41"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname><given-names>Y-R</given-names></name><name><surname>Imrichova</surname><given-names>H</given-names></name><name><surname>Wang</surname><given-names>H</given-names></name><name><surname>Chao</surname><given-names>T</given-names></name><name><surname>Xiao</surname><given-names>Z</given-names></name><name><surname>Gao</surname><given-names>M</given-names></name><name><surname>Rincon-Restrepo</surname><given-names>M</given-names></name><name><surname>Franco</surname><given-names>F</given-names></name><name><surname>Genolet</surname><given-names>R</given-names></name><name><surname>Cheng</surname><given-names>W-C</given-names></name><name><surname>Jandus</surname><given-names>C</given-names></name><name><surname>Coukos</surname><given-names>G</given-names></name><name><surname>Jiang</surname><given-names>Y-F</given-names></name><name><surname>Locasale</surname><given-names>JW</given-names></name><name><surname>Zippelius</surname><given-names>A</given-names></name><name><surname>Liu</surname><given-names>P-S</given-names></name><name><surname>Tang</surname><given-names>L</given-names></name><name><surname>Bock</surname><given-names>C</given-names></name><name><surname>Vannini</surname><given-names>N</given-names></name><name><surname>Ho</surname><given-names>P-C</given-names></name></person-group><year iso-8601-date="2020">2020</year><article-title>Disturbed mitochondrial dynamics in CD8<sup>+</sup> TILs reinforce T cell exhaustion</article-title><source>Nature Immunology</source><volume>21</volume><fpage>1540</fpage><lpage>1551</lpage><pub-id pub-id-type="doi">10.1038/s41590-020-0793-3</pub-id><pub-id pub-id-type="pmid">33020660</pub-id></element-citation></ref><ref id="bib42"><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>J</given-names></name><name><surname>Fan</surname><given-names>J</given-names></name><name><surname>Venneti</surname><given-names>S</given-names></name><name><surname>Cross</surname><given-names>JR</given-names></name><name><surname>Takagi</surname><given-names>T</given-names></name><name><surname>Bhinder</surname><given-names>B</given-names></name><name><surname>Djaballah</surname><given-names>H</given-names></name><name><surname>Kanai</surname><given-names>M</given-names></name><name><surname>Cheng</surname><given-names>EH</given-names></name><name><surname>Judkins</surname><given-names>AR</given-names></name><name><surname>Pawel</surname><given-names>B</given-names></name><name><surname>Baggs</surname><given-names>J</given-names></name><name><surname>Cherry</surname><given-names>S</given-names></name><name><surname>Rabinowitz</surname><given-names>JD</given-names></name><name><surname>Thompson</surname><given-names>CB</given-names></name></person-group><year iso-8601-date="2014">2014</year><article-title>Asparagine plays a critical role in regulating cellular adaptation to glutamine depletion</article-title><source>Molecular Cell</source><volume>56</volume><fpage>205</fpage><lpage>218</lpage><pub-id pub-id-type="doi">10.1016/j.molcel.2014.08.018</pub-id><pub-id pub-id-type="pmid">25242145</pub-id></element-citation></ref></ref-list></back><sub-article article-type="editor-report" id="sa0"><front-stub><article-id pub-id-type="doi">10.7554/eLife.107745.3.sa0</article-id><title-group><article-title>eLife Assessment</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Kurosaki</surname><given-names>Tomohiro</given-names></name><role specific-use="editor">Reviewing Editor</role><aff><institution>The University of Osaka</institution><country>Japan</country></aff></contrib></contrib-group><kwd-group kwd-group-type="evidence-strength"><kwd>Convincing</kwd></kwd-group><kwd-group kwd-group-type="claim-importance"><kwd>Important</kwd></kwd-group></front-stub><body><p>Non-essential amino acids such as glutamine have been known to be required for T cell general activation through sustaining basic biosynthetic processes, including nucleotide biosynthesis, ATP generation, and protein synthesis. In this <bold>important</bold> study, the authors found that extracellular asparagine (Asn) is required not only for T cells to generally refuel metabolic reprogramming, but to produce helper T cell lineage-specific cytokine, for instance, IL17. In particular, the importance of Asn in IL17 production was <bold>convincingly</bold> demonstrated in the mouse experimental autoimmune encephalomyelitis (EAE) model, mimicking human multiple sclerosis disease.</p></body></sub-article><sub-article article-type="referee-report" id="sa1"><front-stub><article-id pub-id-type="doi">10.7554/eLife.107745.3.sa1</article-id><title-group><article-title>Reviewer #1 (Public review):</article-title></title-group><contrib-group><contrib contrib-type="author"><anonymous/><role specific-use="referee">Reviewer</role></contrib></contrib-group></front-stub><body><p>Summary:</p><p>In this manuscript, the authors reveal that the availability of extracellular asparagine (Asn) represents a metabolic vulnerability for the activation and differentiation of naive CD4+ T cells. To deplete extracellular Asn, they employed two orthogonal approaches: activating naive CD4+ T cells in either PEGylated asparaginase (PEG-AsnASE)-treated medium or custom-formulated RPMI medium specifically lacking Asn. Importantly, they demonstrate that Asn depletion not only impaired metabolic reprogramming associated with CD4+ T cell activation but also reduced CD4+ helper T cell lineage-specific cytokine production, thereby ameliorating the severity of experimental autoimmune encephalomyelitis.</p><p>The experiments presented here are comprehensive and well-designed, providing compelling evidence for the conclusions. The conclusions will be important to the field.</p><p>Comments on revised version:</p><p>The authors have sufficiently addressed my previous comments. The manuscript represents an excellent contribution to the field.</p></body></sub-article><sub-article article-type="referee-report" id="sa2"><front-stub><article-id pub-id-type="doi">10.7554/eLife.107745.3.sa2</article-id><title-group><article-title>Reviewer #2 (Public review):</article-title></title-group><contrib-group><contrib contrib-type="author"><anonymous/><role specific-use="referee">Reviewer</role></contrib></contrib-group></front-stub><body><p>While the importance of asparagine in the differentiation and activation of CD8 T cells has been previously reported, its role in CD4 T cells remained unclear. Using culture media containing specific amino acids, the authors demonstrated that extracellular asparagine promotes CD4 T cell proliferation. Consistent with this, depletion of extracellular asparagine using PEG-AsnASE suppressed CD4 T cell activation. Proteomic analysis focusing on asparagine content revealed that, during the early phase of T cell activation, most asparagine incorporated into proteins is derived from extracellular sources. The authors further confirmed the importance of extracellular asparagine in vivo, demonstrating improved EAE pathology.</p><p>While the data are well organized and convincing, the mechanism by which asparagine deficiency leads to altered T cell differentiation remains unclear. It is also necessary to investigate the transporters involved in asparagine uptake. In particular, elucidating whether different T cell subsets utilize the same or distinct transport mechanisms would provide important insight into the immunoregulatory role of asparagine.</p><p>Comments on revised version:</p><p>The authors have addressed the previous concerns, and the manuscript has been significantly improved.</p></body></sub-article><sub-article article-type="author-comment" id="sa3"><front-stub><article-id pub-id-type="doi">10.7554/eLife.107745.3.sa3</article-id><title-group><article-title>Author response</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Georgiev</surname><given-names>Peter</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Johnson</surname><given-names>Sheila</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Kurmi</surname><given-names>Kiran</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Hu</surname><given-names>Song-Hua</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Han</surname><given-names>SeongJun</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Patterson</surname><given-names>Dillon</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Nguyen</surname><given-names>Thao</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Huang</surname><given-names>Linglin</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Liang</surname><given-names>Dan</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Goldman</surname><given-names>Naomi</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Conway</surname><given-names>Thomas</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Creasey</surname><given-names>Hannah</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Rowe</surname><given-names>Jared</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Haigis</surname><given-names>Marcia C</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Sharpe</surname><given-names>Arlene H</given-names></name><role specific-use="author">Author</role><aff><institution>Harvard Medical School</institution><addr-line><named-content content-type="city">Boston</named-content></addr-line><country>United States</country></aff></contrib></contrib-group></front-stub><body><p>The following is the authors’ response to the original reviews.</p><disp-quote content-type="editor-comment"><p><bold>Public Reviews:</bold></p><p><bold>Reviewer #1 (Public review):</bold></p><p>Summary:</p><p>In this manuscript, the authors reveal that the availability of extracellular asparagine (Asn) represents a metabolic vulnerability for the activation and differentiation of naive CD4+ T cells. To deplete extracellular Asn, they employed two orthogonal approaches: activating naive CD4+ T cells in either PEGylated asparaginase (PEG-AsnASE)-treated medium or custom-formulated RPMI medium specifically lacking Asn. Importantly, they demonstrate that depletion not only impaired metabolic reprogramming associated with CD4+ T cell activation but also reduced CD4+ helper T cell lineage-specific cytokine production, thereby ameliorating the severity of experimental autoimmune encephalomyelitis.</p><p>Strengths:</p><p>The experiments presented here are comprehensive and well-designed, providing compelling evidence for the conclusions. The conclusions will be important to the field.</p></disp-quote><p>We thank the reviewer for their assessment of our work and enthusiasm towards our findings.</p><disp-quote content-type="editor-comment"><p>Weaknesses:</p><p>(1) EAE is the prototypic T cell-mediated autoimmune disease model, and both Th1 and Th17 cells are implicated in its pathogenesis. In contrast, Th2 and Treg cells and their associated cytokines (such as IL-4 and IL-10) have been shown to play a role in the resolution of EAE, and potentially in the modulation of disease progression. Thus, it will be important to determine whether Asn depletion affects the differentiation of naive CD4+ T cells into corresponding subsets under Th2 and Treg polarization conditions, as well as the expression of lineage-specific transcription factors and cytokine production.</p></disp-quote><p>We appreciate that the reviewer recognizes the functional relevance of our findings showing that Asn is important for proper Th17 differentiation and promotion of EAE (Figure 5 E-J, Figure 6). Given that multiple CD4+ T cell subsets play a role in both the initiation and resolution of EAE, we agree that it would be valuable to further support these findings with complementary Th2 and Treg differentiation experiments.</p><p>To address this, we examined the effects of asparagine depletion during in vitro iTreg and TH2 differentiation. We found that the frequencies of FOXP3+ iTreg and GATA3+ Th2 cells were reduced when cultures were grown in asparagine-deficient media. These results have been added to Supplementary Figure 5.</p><disp-quote content-type="editor-comment"><p>(2) EAE is characterized by inflammation and demyelination in the central nervous system (CNS), leading to neurological deficits. Myelin destruction is directly correlated with the severity of the disease. For Figure 6, did the authors perform spinal cord histological analysis by hematoxylin and eosin (H&amp;E) or Luxol fast blue (LFB) staining? This is important to rigorously examine pathological EAE symptoms.</p></disp-quote><p>We agree with the reviewer that histopathology including H&amp;E and/or LFB staining is a useful indicator of EAE disease severity. However, we are no longer able to obtain PEGAsnASE (Oncaspar) to perform these studies.</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #2 (Public review):</bold></p><p>While the importance of asparagine in the differentiation and activation of CD8+ T cells has been previously reported, its role in CD4+ T cells remained unclear. Using culture media containing specific amino acids, the authors demonstrated that extracellular asparagine promotes CD4+ T cell proliferation. Consistent with this, depletion of extracellular asparagine using PEG-AsnASE suppressed CD4+ T cell activation. Proteomic analysis focusing on asparagine content revealed that, during the early phase of T cell activation, most asparagine incorporated into proteins is derived from extracellular sources. The authors further confirmed the importance of extracellular asparagine in vivo, demonstrating improved EAE pathology.</p><p>While the data are well organized and convincing, the mechanism by which asparagine deficiency leads to altered T cell differentiation remains unclear. It is also necessary to investigate the transporters involved in asparagine uptake. In particular, elucidating whether different T cell subsets utilize the same or distinct transport mechanisms would provide important insight into the immunoregulatory role of asparagine.</p><p>(1) The finding that asparagine supplementation promotes T cell proliferation under various amino acid conditions is highly significant. However, the concentration at which this effect occurs remains unclear. A titration analysis would be necessary to determine the dosedependency of asparagine.</p></disp-quote><p>Our studies indicate that the concentration of asparagine present in conventional RPMI lymphocyte media is sufficient to support CD4+ T cell activation and proliferation in vitro (Figure 1, Supplementary Figure 1 &amp; Figure 2). This concentration was consistently used throughout our studies. In line with the reviewer’s comments, however, we have not yet determined the dose dependency of Asn during CD4+ T cell activation.</p><p>To address this, we performed a titration experiment in which asparagine was supplemented at varying concentrations in DMEM and Asn-deficient RPMI. Activation markers were measured 24 hours after TCR stimulation under these culture conditions. We found that the critical asparagine concentration lies between 37.8 and 3.78 uM. This concentration range is consistent with the physiological concentration of asparagine in murine plasma, which is approximately 50 uM (PMID: 24842860; PMID: 23853755). These data have been added to Supplementary Figure 1.</p><disp-quote content-type="editor-comment"><p>(2) The effects of asparagine deficiency occur during the early phase of T cell activation. Thus, it is likely that the transporters responsible for asparagine uptake are either rapidly induced upon activation or already expressed in the resting state. Since this is central to the focus of the manuscript, it is interesting to identify the transporter responsible for asparagine uptake during early T cell activation. A recent paper (DOI: 10.1126/sciadv.ads350) reported that macrophages utilize Slc6a14 to use extracellular asparagine. Is this also true for CD4+ T cells?</p></disp-quote><p>While a comprehensive characterization of the amino acid transporter network is certainly of interest, it is beyond the scope of the present study. As the reviewer notes, others have explored asparagine transport in lymphocytes. For example, Wu et al. (PMID: 33420490) determined that the asparagine transporter, Slc1a5, is significantly upregulated in CD8+ T cells upon activation, based on qRT-PCR measurements comparing mRNA from naïve and activated CD8+ T cell. They further validated the functional role of Asn transporters in CD8+ T cells by measuring N15-labeled asparagine uptake in the presence of siRNAs targeting the asparagine transporters Slc1a5 or Slc38a2 and found that inhibition of either transporter significantly reduced intracellular N15-Asn accumulation.</p><p>To gain additional insight into Asn transporters in distinct CD4+ T cell subsets, we reanalyzed a published RNA-seq dataset (Thakore et al., 2024; PMID: 39009838). We quantified the expression of transporters Slc1a5, Slc38a2, and Slc6a14 in naïve and activated CD4+ T cells polarized under Th1, npTh17, or pTh17 conditions at various time points. We observed that Slc1a5 expression increased upon activation in all subsets. Similarly, Slc38a2 expression increased during early activation stage, but subsequently returned to basal levels similar to naïve cells. In contrast, Slc6a14 showed relatively low basal expression in naïve cells compared to the other transporters investigated, and its expression decreased over the differentiation period in all CD4+ T cell subsets examined. These results indicate that Asn transporters Slc1a5 and Slc38a2 are expressed in CD4+ T cells during early activation and differentiation. These data have been included in Supplementary Figure 3.</p><disp-quote content-type="editor-comment"><p>(3) Given that depletion of extracellular asparagine impairs differentiation of Th1 and Th17 cells, it is possible that TCR signaling is compromised under these conditions. This point should be investigated by targeting downstream signaling molecules such as Lck, ZAP70, or mTOR. Also, does it affect the protein stability of master transcription factors such as Tbet and RORgt?</p></disp-quote><p>We agree with the reviewer that asparagine deprivation could impact several aspects of T cell function. In our study, we demonstrate that asparagine is crucial for CD4+ T cell protein synthesis and the expression of activation markers (Figure 1B-K, Figure 2K-L, and Figure 3AC). We also highlight its importance in promoting CD4+ T cell subset differentiation and lineage-defining cytokine production (Figure 5B-J). Other studies have reported a role for asparagine in early activation marker expression in CD8+ T cells and in enhancing LCK function (PMID: 33822775; PMID: 33420490). Given its proposed function as a promoter of LCK signaling function in CD8+ T cells, it will be important to determine if a similar mechanism operates during CD4+ T cell activation in future studies.</p><p>We appreciate the reviewer’s inquiry regarding the stability of critical transcription factors defining Th1 and Th17 subsets. We have examined the expression of the transcription factors RORγT and Tbet in Th17 and Th1 polarized cells and observed reduced expression in the absence of asparagine. We have included these findings in Supplementary Figure 5.</p><disp-quote content-type="editor-comment"><p>(4) Is extracellular asparagine also important for the differentiation of helper T cell subsets other than Th1 and Th17, such as Th2, Th9, and iTreg?</p></disp-quote><p>Please see our response to Reviewer 1 regarding iTreg and TH2. Investigation of Th9 cells is beyond the scope of the present study.</p><disp-quote content-type="editor-comment"><p>(5) Asparagine taken up from outside the cell has been shown to be used for de novo protein synthesis (Figure 3E), but are there any proteins that are particularly susceptible to asparagine deficiency? This can be verified by performing proteome analysis, and the effects on Th1/17 subset differentiation mentioned above should also be examined.</p></disp-quote><p>The investigation of specific proteins that exhibit asparagine dependency would indeed be interesting. Given our results showing that global protein synthesis is blunted with asparagine deprivation (Figure 3A-C), it would be particularly compelling to identify proteins with a specific requirement for asparagine. However, this level of analysis is beyond the scope of our study.</p><disp-quote content-type="editor-comment"><p>(6) While the importance of extracellular asparagine is emphasized, Asns expression is markedly induced during early T cell activation. Nevertheless, the majority of asparagine incorporated into proteins appears to be derived from extracellular sources. Does genetic deletion of Asns have any impact on early CD4+ T cell activation? The authors indicated that newly synthesized Asns have little impact on CD8+ T cells in the Discussion section, but is this also true for CD4+ T cells? This could be verified through experiments using CRISPR-mediated Asns gene targeting or pharmacological inhibition.</p></disp-quote><p>We appreciate the reviewer’s consideration of the contribution of endogenous asparagine to CD4 +T cell function. However, genetic perturbation of Asns is beyond the scope of our study, which is specifically focused on defining the requirements for extracellular asparagine and its role in CD4+ T cell activation.</p></body></sub-article></article>