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Convergent and divergent effects of costimulatory molecules in conventional and regulatory CD4 + T cells Ei Wakamatsu 1 , Diane Mathis 2 , and Christophe Benoist 2 Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA 02115 Contributed by Christophe Benoist, November 29, 2012 (sent for review November 14, 2012) Costimulatory molecules of the CD28 family on T lymphocytes integrate cues from innate immune system sensors and modulate activation responses in conventional CD4 + T cells (Tconv) and their FoxP3 + regulatory counterparts (Treg). To better understand how costimulatory and coinhibitory signals might be integrated, we pro- led the changes in gene expression elicited in the hours and days after engagement of Treg and Tconv by anti-CD3 and either anti- CD28, -CTLA4, -ICOS, -PD1, -BLA, or -CD80. In Tconv, a shared main responsewas induced by CD28, ICOS, and, surprisingly, BTLA and CD80, with very limited CD28-specic (primarily Il2) or ICOS-specic elements (including Th1 and Th2 but not the follicular T signature). CTLA4 and PD1 had a very subtle impact in this system, similarly inhibiting the response to anti-CD3. Treg responded to the same costimulatory hierarchy and to the same extent as Tconv, but induc- ing different clusters of genes. In this reductionist system, costimu- latory or coinhibitory engagement mainly elicits generic responses, suggesting that the variability of their effects in vivo result from temporal or anatomical differences in their engagement, rather than from inherently different wiring. expression proling | immunoregulation | lymphocyte differentiation C ostimulatory molecules of the CD28 family play a crucial role in the genesis of an effective and controlled response in T lymphocytes, complementing and modulating the interaction of TCR with MHC-peptide complex. They have attracted great in- terest because of their profound inuence, and because they offer the possibility to therapeutically tune or deviate lymphocyte acti- vation in autoimmune and tumor contexts (1, 2). Five molecules of the CD28 family are expressed at different stages of differentiation of T lymphocytes: CD28, CTLA4, ICOS, PD1, BTLA (3); in ad- dition, CD80, the ligand for CD28 and CTLA4 normally present on APCs, is also expressed on T cells (4), as is PDL1. The surface expression of CD28 family molecules changes dynamically during the course of T-cell activation and effector cell differentiation, serving as feedback control on activation. In current views of cos- timulation, each of these molecules has a different personality: CD28 is considered the primary costimulatory molecule (here- after costimfor short), through its interactions with CD80 and CD86 on APCs, complement TCR-mediated signals and promote T-cell activation, proliferation and survival. Initial activation of naïve T cells requires CD28 signal to enhance the signal derived by TCR and the production of IL2 (5) for the robust expansion of antigen-specic T cells. CD28 signaling is thought to proceed via the PI3K/Akt/mTOR pathway, hence activating the cells energetic and anabolic metabolism (6, 7). CTLA4 also interacts with CD80 and CD86, but has an inhibitory effect, as evidenced by the extreme phenotype of CTLA4-decient mice. The mechanism through which CTLA4 delivers coinhibitory signals is still debated, and several non-mutually-exclusive mecha- nisms have been proposed (7, 8). It may interfere with TCR or CD28 downstream signaling pathways, for instance by activating SHP2 and PP2A phosphatases, perturb the supramolecular orga- nization of TCR-CD28 in microclusters, outcompete CD28 for CD80/86 ligands for which it has intrinsically higher afnity, or strip CD80/86 from APCs through transendocytosis. Adding complexity, CTLA4 affects both Treg and Tconv cells, which may balance each other. PD1, which binds PDL1 and PDL2, also behaves as an in- hibitory molecule. Like CTLA4, it is induced upon T-cell activation (also in B and myeloid cells). Its inhibitory pathways have been proposed to be different from those of CTLA4 (9). ICOS, through specic interaction with ICOSL, has more nu- anced effects. Unlike CD28, ICOS does not impact Grb2 and NF-κB signaling, but it does activate the PI3k-Akt pathway and can deliver positive costimulatory signals. More specically, ICOS promotes T-cell differentiation toward B-cell help, favoring ex- pression of IL4 and the T follicular helperphenotype (10). BTLA is expressed on activated T cells, especially Th1 cells (11). It is unusual in that its known ligand, HVEM, belongs not to the B7 but to the TNFR-family member (and itself engages in complex interactions with several ligands). BTLA is generally viewed as a coinhibitory molecule, in connection with the intra- cytoplasmic ITIM motif it shares with CTLA4 and PD1, which can recruit inhibitory SHP1/2. On the other hand, BTLA inter- acts and activates Grb2 and PI3K (12), indicating it may also have prosurvival activity (13). An additional twist to this complexity came from the demon- stration that CD80, the canonical costimulatory ligand expressed by antigen-presenting cells (APC), is also expressed in T cells, binding PD-L1 on APCs and stromal cells, delivering inhibitory signals and contributing to immune tolerance (14). CD28 family molecules are also expressed on FoxP3 + Treg cells, key regulators of lymphoid homeostasis. CTLA4, ICOS, and PD1 are overexpressed on Tregs relative to conventional CD4 + T cells. CD28 and CTLA4 control Treg differentiation and homeostasis, and there is strong evidence that CTLA4 and PD1 are important players in Treg function (15). It is not clear, however, whether the function of costims on Tregs is merely a facet of their usual activity in Tconv, or whether they trigger distinct signals in Tregs. It is reasonable to assume that these diverse inuences should have distinct footprints in the T-cell transcriptome. Application of microarray proling indicated that engagement of CD28 amplied the response elicited by CD3 alone (16, 17), that CD28 and ICOS induced comparable alterations in the transcriptome of Jurkat and primary CD4 + T cells, CTLA4 engagement blocking some of those changes. In another study, PD1 engagement blocked CD3/CD28- induced changes, as did CTLA4, but somewhat differently (18). We revisit here these transcriptional analyses. We tested the transcriptional consequences in CD4 + Treg and Tconv cells of engaging every costim of the CD28 family (CD28, CTLA4, PD1, ICOS, BTLA and CD80), focusing on the initial events; this time- frame should better reect direct signaling events than the in- tegrated response that unfolds after a few days. Many of the costims generically elicited a positive amplication of a large fraction [but not all] of the response induced by TCR engagement, even for costims usually thought to be inhibitory like BTLA and CD80. The existence of direct but subtle inhibition by both CTLA4 and PD1 Author contributions: E.W., D.M., and C.B. designed research; E.W. performed research; E.W. and C.B. analyzed data; and E.W., D.M., and C.B. wrote the paper. The authors declare no conict of interest. Data deposition: The data reported in this paper have been deposited in the Gene Ex- pression Omnibus (GEO) database, www.ncbi.nlm.nih.gov/geo (accession no. GSE42276). 1 Present address: Research Institute for Biomedical Sciences, Tokyo University of Science, 2669 Yamasaki, Noda, Japan. 2 To whom correspondence should be addressed. E-mail: [email protected]. This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10. 1073/pnas.1220688110/-/DCSupplemental. www.pnas.org/cgi/doi/10.1073/pnas.1220688110 PNAS Early Edition | 1 of 6 IMMUNOLOGY
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  • Convergent and divergent effects of costimulatorymolecules in conventional and regulatory CD4+ T cellsEi Wakamatsu1, Diane Mathis2, and Christophe Benoist2

    Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA 02115

    Contributed by Christophe Benoist, November 29, 2012 (sent for review November 14, 2012)

    Costimulatory molecules of the CD28 family on T lymphocytesintegrate cues from innate immune system sensors and modulateactivation responses in conventional CD4+ T cells (Tconv) and theirFoxP3+ regulatory counterparts (Treg). To better understand howcostimulatory and coinhibitory signals might be integrated, we pro-filed the changes in gene expression elicited in the hours and daysafter engagement of Treg and Tconv by anti-CD3 and either anti-CD28, -CTLA4, -ICOS, -PD1, -BLA, or -CD80. In Tconv, a shared “mainresponse” was induced by CD28, ICOS, and, surprisingly, BTLA andCD80, with very limited CD28-specific (primarily Il2) or ICOS-specificelements (including Th1 and Th2 but not the follicular T signature).CTLA4 and PD1 had a very subtle impact in this system, similarlyinhibiting the response to anti-CD3. Treg responded to the samecostimulatory hierarchy and to the same extent as Tconv, but induc-ing different clusters of genes. In this reductionist system, costimu-latory or coinhibitory engagement mainly elicits generic responses,suggesting that the variability of their effects in vivo result fromtemporal or anatomical differences in their engagement, rather thanfrom inherently different wiring.

    expression profiling | immunoregulation | lymphocyte differentiation

    Costimulatory molecules of the CD28 family play a crucial rolein the genesis of an effective and controlled response in Tlymphocytes, complementing and modulating the interaction ofTCR with MHC-peptide complex. They have attracted great in-terest because of their profound influence, and because they offerthe possibility to therapeutically tune or deviate lymphocyte acti-vation in autoimmune and tumor contexts (1, 2). Five molecules ofthe CD28 family are expressed at different stages of differentiationof T lymphocytes: CD28, CTLA4, ICOS, PD1, BTLA (3); in ad-dition, CD80, the ligand for CD28 and CTLA4 normally presenton APCs, is also expressed on T cells (4), as is PDL1. The surfaceexpression of CD28 family molecules changes dynamically duringthe course of T-cell activation and effector cell differentiation,serving as feedback control on activation. In current views of cos-timulation, each of these molecules has a different personality:CD28 is considered the primary costimulatory molecule (here-

    after “costim” for short), through its interactions with CD80 andCD86 on APCs, complement TCR-mediated signals and promoteT-cell activation, proliferation and survival. Initial activation ofnaïve T cells requires CD28 signal to enhance the signal derived byTCR and the production of IL2 (5) for the robust expansion ofantigen-specific T cells. CD28 signaling is thought to proceed viathe PI3K/Akt/mTORpathway, hence activating the cell’s energeticand anabolic metabolism (6, 7).CTLA4also interacts with CD80 andCD86, but has an inhibitory

    effect, as evidenced by the extreme phenotype of CTLA4-deficientmice. The mechanism through which CTLA4 delivers coinhibitorysignals is still debated, and several non-mutually-exclusive mecha-nisms have been proposed (7, 8). It may interfere with TCR orCD28 downstream signaling pathways, for instance by activatingSHP2 and PP2A phosphatases, perturb the supramolecular orga-nization of TCR-CD28 in microclusters, outcompete CD28 forCD80/86 ligands for which it has intrinsically higher affinity, or stripCD80/86 fromAPCs through transendocytosis. Adding complexity,CTLA4 affects both Treg and Tconv cells, which may balance eachother. PD1, which binds PDL1 and PDL2, also behaves as an in-hibitorymolecule. Like CTLA4, it is induced upon T-cell activation

    (also in B and myeloid cells). Its inhibitory pathways have beenproposed to be different from those of CTLA4 (9).ICOS, through specific interaction with ICOSL, has more nu-

    anced effects. Unlike CD28, ICOS does not impact Grb2 andNF-κB signaling, but it does activate the PI3k-Akt pathway andcan deliver positive costimulatory signals. More specifically, ICOSpromotes T-cell differentiation toward B-cell help, favoring ex-pression of IL4 and the T “follicular helper” phenotype (10).BTLA is expressed on activated T cells, especially Th1 cells

    (11). It is unusual in that its known ligand, HVEM, belongs not tothe B7 but to the TNFR-family member (and itself engages incomplex interactions with several ligands). BTLA is generallyviewed as a coinhibitory molecule, in connection with the intra-cytoplasmic ITIM motif it shares with CTLA4 and PD1, whichcan recruit inhibitory SHP1/2. On the other hand, BTLA inter-acts and activates Grb2 and PI3K (12), indicating it may also haveprosurvival activity (13).An additional twist to this complexity came from the demon-

    stration that CD80, the canonical costimulatory ligand expressed byantigen-presenting cells (APC), is also expressed in T cells, bindingPD-L1 on APCs and stromal cells, delivering inhibitory signals andcontributing to immune tolerance (14).CD28 family molecules are also expressed on FoxP3+Treg cells,

    key regulators of lymphoid homeostasis. CTLA4, ICOS, and PD1are overexpressed on Tregs relative to conventional CD4+ T cells.CD28 and CTLA4 control Treg differentiation and homeostasis,and there is strong evidence that CTLA4 and PD1 are importantplayers in Treg function (15). It is not clear, however, whether thefunction of costims on Tregs is merely a facet of their usual activityin Tconv, or whether they trigger distinct signals in Tregs.It is reasonable to assume that these diverse influences should

    have distinct footprints in the T-cell transcriptome. Application ofmicroarray profiling indicated that engagement of CD28 amplifiedthe response elicited by CD3 alone (16, 17), that CD28 and ICOSinduced comparable alterations in the transcriptome of Jurkat andprimary CD4+T cells, CTLA4 engagement blocking some of thosechanges. In another study, PD1 engagement blocked CD3/CD28-induced changes, as did CTLA4, but somewhat differently (18).We revisit here these transcriptional analyses. We tested the

    transcriptional consequences in CD4+ Treg and Tconv cells ofengaging every costim of the CD28 family (CD28, CTLA4, PD1,ICOS, BTLA and CD80), focusing on the initial events; this time-frame should better reflect direct signaling events than the in-tegrated response that unfolds after a few days.Many of the costimsgenerically elicited a positive amplification of a large fraction [butnot all] of the response induced by TCR engagement, even forcostims usually thought to be inhibitory like BTLA and CD80. Theexistence of direct but subtle inhibition by both CTLA4 and PD1

    Author contributions: E.W., D.M., and C.B. designed research; E.W. performed research;E.W. and C.B. analyzed data; and E.W., D.M., and C.B. wrote the paper.

    The authors declare no conflict of interest.

    Data deposition: The data reported in this paper have been deposited in the Gene Ex-pression Omnibus (GEO) database, www.ncbi.nlm.nih.gov/geo (accession no. GSE42276).1Present address: Research Institute for Biomedical Sciences, Tokyo University of Science,2669 Yamasaki, Noda, Japan.

    2To whom correspondence should be addressed. E-mail: [email protected].

    This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1220688110/-/DCSupplemental.

    www.pnas.org/cgi/doi/10.1073/pnas.1220688110 PNAS Early Edition | 1 of 6

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    http://www.ncbi.nlm.nih.gov/geohttp://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE42276mailto:[email protected]://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1220688110/-/DCSupplementalhttp://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1220688110/-/DCSupplementalwww.pnas.org/cgi/doi/10.1073/pnas.1220688110

  • engagement was confirmed, and unique effects of ICOS engage-ment highlighted. Overall, the response differed markedly in Tregand Tconv cells.

    ResultsOur strategy was willfully reductionist. CD4+ T cells purified bymagnetic negative selection were stimulated in vitro, to avoid in-direct effects on APCs and other in vivo confounders. To analyzeresponses under identical conditions, we did not prefractionateTreg and Tconv cells but purified them at the end of the cultureperiod, accepting the caveat that some of the late results may reflectin part the indirect influence of the other cell-type. Cognizant thataffinities of specific antibodies differ from those of natural costimligands, we nevertheless opted to use monoclonal antibodies(mAbs) immobilized on beads (“artificial APCs”) to observe pureeffects of costim signaling, not confounded by multiply-reactiveligands. The amounts of anti-CD3 and anti-CD28 mAbs used forconjugation were picked as subsaturating in preliminary experi-ments (Fig. S1), a higher dose being used formAbs to other costims.We assessed the ability of these sets of artificial APCs, carrying

    anti-CD3 alone or together with anti-costim mAbs, to activate Tcells to a full proliferative response. As expected, anti-CD3 aloneelicited little proliferation, anti-CD28 was the most effective cos-timulator for both Tconv and Treg cells (Fig. 1). Only anti-ICOShad a significant costimulatory effect, and this only in Treg cells. Incontrast, anti-CTLA4, -PD1, -BTLA, and -CD80 all seemed tohave inhibitory activity relative to anti-CD3 alone, most clearlyfor Treg cells.

    Overall Comparison of Costimulatory Molecules’ Footprints. Geneexpression profiles were then generated in three independentexperiments (the experiments were highly concordant overall, andfor simplicity the mean of all replicates are used). Cells were har-vested after 1, 4, 20, and 48 h of stimulation; the 1- and 4-h lysateswere pooled beforeRNApurification and profiling (“Early” pool),as were the 20- and 48-h samples (“Late”). The former encom-passed immediate-early and early changes, the latter events in theamplified response (for Treg cells, only the 20-h sample was usedbecause significant cell death occurred after 1 d of culture). Asa first step in the analysis, we simply counted howmany transcriptschanged by a fold change> 2 (corresponding to an FDR of 0.05 orbetter inmost cases) in Tconv or Treg cells (Table 1). The responseto CD3 stimulation alone was truncated, greater at early than atlate times, in both of Tconv and Treg. In contrast, engagement ofactivating costim expanded the response over time. Only apparentfor CD28 and ICOS at early times (ICOS strongest), the responsebecame much more prominent later for CD28, ICOS, and toa lesser extent BTLA and CD80. CTLA4 and PD1 seemed to haveno effect, at least with this simple metric (see below).A general perspective of the results is presented in Fig. 2A,

    which displays changes effected by each costim relative to anti-CD3 alone (for genes affected in either Treg or Tconv cells; allchanges listed in Datasets S1 and S2). Several conclusions are al-ready apparent here: First, there is a shared “costimulation cluster”

    in Tconv, affected by both CD28 and ICOS and more weakly byBTLA and CD80. The relative impact of CD28 and ICOS is subtlydifferent, however. As expected from Table 1, ICOS is more activeearly, whereas CD28 dominates at late times. Second, CTLA4 andPD1 again appear inert in this representation, reflected as quasi-uniform black streaks. Third, the response in Tregs partiallyoverlaps that of Tconv, particularly at early times, but also containsmany distinct elements (examined below, we first focus on theTconv response).The fold change/fold change plots of Fig. 2B present a more

    direct comparison of the effects in Tconv cells of CD28 vs. all othercostims. Here, it becomes clear, unexpectedly with regards to priorliterature, that BTLA and CD80 essentially behave as weakersurrogates of CD28, as indicated by the high degree of correlationwith CD28’s effects, at both early and late times; the off-diagonalplacement of the gene clouds indicates that their impact is weaker,in accord with the heatmap (Fig. 2A). This CD28-like effect is alsotrue for ICOS, with perhaps more distinctions relative to CD28(see below). Here again, CTLA4 and PD1 seem to have little or noimpact on the transcripts costimulated by CD28.

    Comparative Analysis of CD28 and ICOS. In earlier studies of humanT cells using printed arrays, Riley et al. (17) reported similareffects of ICOS and CD28, with only a few differently affectedgenes such as IL2 and IL9. Consistent with these observations,we found the effects of ICOS engagement to be comparable tothose of CD28, the off-diagonal placement denoting a strongereffect of CD28. However, a number of transcripts respondeddifferently, as particularly marked in the late stages (Fig. 3A; Fig.S2 for early time). Both sets included cell cycle and proliferationgenes, but anti-ICOS preferentially enhanced transcripts asso-ciated with T-cell differentiation, including Th1-type transcriptssuch as Eomes and Ifng but also Th2-type molecules such asGata3 and Ccr8 (but not Il4). On the other hand, genes thatstood out as preferentially or uniquely activated by CD28 in-cluded factors more generically involved in T-cell proliferationand survival such as Il2 (as noted in ref. 17), the apoptosis/sur-vival controllers Bnip3 or Anxa2, or metabolism control factorssuch as Hk2 or Ak3. Indeed, the lasting induction of Il2 wasunique to CD28 (Table S1).Studies in knockout mice have shown that ICOS is required for

    optimal production of differentiated cytokines of the Th2 and Th1types, and plays a key role in the differentiation of follicular T cellsin which it is overexpressed (10). To investigate this point at thegenomic level, we highlighted transcripts characteristic of the dif-ferentiated Th signatures onto the CD28/ICOS comparison plot(Fig. 3B). Th1 and Th2 signature genes were clearly enhanced bycostimulation relative to anti-CD3 alone: Overexpressed genes inthese signatures (red) were induced, suppressed genes (green)were down-regulated. For the most part, CD28 and ICOS seemedequivalent in this respect. On the other hand, transcripts typical

    Tconv

    CFSE

    20± 4.0

    96±0.1

    12± 0.2

    22±4.2

    12±0.2

    19±1.5

    16±0.4

    Treg20

    ± 6.791

    ± 1.18

    ±1.245

    ±10.35

    ±1.011

    ±1.310

    ±1.9

    CD3 CD28 CTLA4 ICOS PD1 BTLA CD80CD3 +

    *

    **

    ****

    Fig. 1. Impact of costim engagement on T-cell proliferation. CD4+ spleno-cytes were labeled with CFSE, and stimulated for 66 h in vitro with beadsconjugated with anti-CD3 alone or with anti-costim mAbs, and cell divisionassessed by flow cytometry measure of residual CFSE in CD4+CD3+ cells. *P <0.05; **P < 0.005 from anti-CD3 alone.

    Table 1. Magnitude of changes elicited by triggering of CD3and individual costims

    CD3+

    CD3 CD28 CTLA4 ICOS PD1 BTLA CD80

    EarlyTconv 212/53 14/0 0/0 37/0 0/0 1/0 2/0Treg 249/44 11/0 1/0 14/39 0/0 0/0 0/0

    LateTconv 142/133 566/127 0/0 188/17 0/0 65/2 5/2Treg 107/63 450/37 2/0 296/89 1/0 7/0 3/0

    Changes were estimated by counting the number of transcripts changingafter engagement of CD3 alone (left column) or with individual costims, insorted Tconv or Treg cells, at early or late times. For each condition, the twonumbers denote transcripts >twofold induced and repressed, respectively.

    2 of 6 | www.pnas.org/cgi/doi/10.1073/pnas.1220688110 Wakamatsu et al.

    http://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1220688110/-/DCSupplemental/pnas.201220688SI.pdf?targetid=nameddest=SF1http://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1220688110/-/DCSupplemental/sd01.xlshttp://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1220688110/-/DCSupplemental/sd02.xlshttp://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1220688110/-/DCSupplemental/pnas.201220688SI.pdf?targetid=nameddest=SF2http://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1220688110/-/DCSupplemental/pnas.201220688SI.pdf?targetid=nameddest=SF2http://www.pnas.org/lookup/suppl/doi:10.1073/pnas.1220688110/-/DCSupplemental/pnas.201220688SI.pdf?targetid=nameddest=ST1www.pnas.org/cgi/doi/10.1073/pnas.1220688110

  • of Th17 and “follicular Th” were not influenced by either costim,perhaps contrary to expectation.Thus, engagement of positively acting costims thus impacts, in

    both shared and specific manner, on the transcriptional programof activated T cells.

    Costim Effects on the CD3-Induced Response. The analyses abovefocused on the effects of costims in addition to anti-CD3 alone.Wenext investigated the effect of costim engagement on the changesinduced by anti-CD3 alone, asking whether costims act as a genericamplifier (or dampener) of TCR signaling. In Fig. 4A, transcriptswere ranked according to their repression or induction by anti-CD3, and the FoldChange [relative to unstimulated] resultingfrom the additional engagement of each costimswas plotted for themost CD3-responsive genes (blue dots). As expected, CD28 andICOS superactivated many of these TCR-induced genes (as did, toa lesser extent, BTLA and CD80), but the effect was clearly notuniform; indeed, someCD3-induced geneswere largely unaffectedby additional costim signals, as more clearly visualized in Fig. 4Band Fig. S3. For instance, the induction of CD25 (Il2ra), 4.1BB(Tnfrsf9), or Irf4 was not further accentuated by CD28 costim-ulation (a similar pattern was observed with ICOS, right).Although CTLA4 and PD1 seemed largely inert in the compar-

    isons described above, subtle but significant effects were detectedhere: The response of aCD3-activated genes was dampened byengagement of CTLA4 and PD1 (Fig. 4A), indicated by a dis-placement of the blue relative to the black dots, which was partic-ularly clear for the early response. These effects were quantitated bycomputing the ratio of fold changes (Fig. 4C, legend), with signifi-cance estimated by a one-sample t test. Significant effects werestrongly shared between CTLA4 and PD1 at early times (Fig. 4CLeft) and more divergent at later times. Thus, CTLA4 had a directdampening effect on the earliest consequences of TCR-mediatedactivation and PD1 did essentially the same.

    DistinctCostimulatory Effects in TconvandTregCells.Do costimulatorymolecules have the same footprints in Treg cells as in Tconv? Therepresentations of Table 1 and Fig. 2A indicated some degreeof sharing, but also distinct divergence. To directly address thisquestion, we first compared the effects of CD28, which were themost robust. The displays of Fig. 5A compares the changes elicitedby CD3+CD28 triggering relative to CD3 alone, in Tconv vs. Tregcells (x and y axes, respectively) at early and late times, and this fora set of genes selected as affected by any one of the costims. Aclear demarcation was observed. Some of the response was sharedby both cell types at early times (e.g., Tbx21 or Lif, gray dots), inparticular for transcripts repressed in both cell types (green dots).However, and particularly as the response progressed at latertimes, many of the genes induced by CD28 showed a preferentialresponse, quantitative or absolute, in one or the other cell type(blue or red dots, respectively). For instance, Gpr83, Areg, Tnfrsf8(CD30), or Nrp1 were only enhanced in Treg. Conversely, manygenes associated with cell cycle progression were preferentiallyinduced late in Tconv (Ccnb2, Top2a). There was no particularoverlap between these differential responses and the canonical“Treg signature,” genes that distinguish resting Treg and Tconvcells. Interestingly, the same differential activation in Treg andTconv were largely reproduced by engagement of other positivelyacting costims, albeit in quantitatively different levels (ICOS, butalso BTLA and CD80), as indicated by the placement of tran-scripts color-coded according to differential response to CD28(Fig. 5B), which independently corroborate these distinctions.Although one might have expected stronger effects in light of theiroverexpression and function in Tregs, the effects of CTLA4 andPD1 were weak or inexistent there. We asked whether Treg cellswould show a specific response to ICOS, as shown above for Tconvcells (Fig. 3A). Perhaps surprisingly, because ICOS is overex-pressed in Tregs, ICOS-specific effects were fewer than earlier inTconv (Fig. S4), although the characteristic preferential inductionof Eomes, Eno3 and Xcl1 was also seen in Tregs.

    5

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    510.2 510.2 510.2

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    CD3+CD28 / CD3 CD3+CD28 / CD3 CD3+CD28 / CD3

    CD3+CD28 / CD3CD3+CD28 / CD3

    CD

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    BTLA CD80

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    CD3+CD28 / CD3 CD3+CD28 / CD3 CD3+CD28 / CD3

    CD3+CD28 / CD3CD3+CD28/CD3

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    Fig. 2. Transcriptional impact of costim coengagement . CD4+ splenocytes from B6.Foxp3fgfp mice were stimulated in vitro with bead-conjugated anti-CD3alone or with anti-costim antibodies, and CD4+CD3+GFP− Tconv and GFP+ Treg were sorted for gene expression profiling. (A) Heatmap representation of theratio of expression levels for each costim coengagement relative to CD3 alone, for Tconv and Treg cells (for transcripts that change by > twofold with CD3 orany of the costims); order by hierarchical clustering. (B) Fold change/fold change (FC/FC) plot comparing the effect in Tconv cells of each costim (y axis) to thatof CD28 (x axis).

    Wakamatsu et al. PNAS Early Edition | 3 of 6

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  • DiscussionTwo dominant conclusions come forth from these data, along withseveral more specific or subtle subtexts: First, the existence ofa dominant costimulation response that is shared by all positivecostimulators (CD28, ICOS, CD80, and BTLA), but not CTLA4 orPD1. Second, a generic response is also observed in Tregs, but whichis quantitatively quite different. The subtexts include the unexpecteddirection of CD80 and BTLA’s effects, that not all of the TCR-eli-cited response is susceptible to costimulation, and the subtle butsignificant inhibitory effects of direct CTLA4 and PD1 engagement.

    At the onset, it is important to acknowledge the limitations of thepresent study. Using an in vitro activation system, activating cellswith bead-bound mAbs without APCs, were motivated by the goalof measuring direct effects downstream of TCR and costim trig-gering to test basic differences in downstreamwiring.Undoubtedly,using natural ligands of normal affinity and cross-reactivity, mod-ulating responses with the interplay of several costimulatory effectsin the context of a normal APC, and varying doses of triggeringagents, would add additional layers of complexity to the responses.In addition, we could not perform dose–response studies (for ob-vious financial limitations) or usemAbs of graded affinity, such thatconclusions concerning quantitative differences between effects ofindividual costims must be treated with some caution, potentiallyinfluenced by the affinity of the mAbs used.Paradoxically, we observed effects from costims that are largely

    unrelated to theirmeasurable levels at the cell surface. ICOS elicitsa stronger early response in Tconv cells than CD28, where it isnormally present at low levels and only induced secondarily; thesubtle inhibitory effects of CTLA4 and PD1 are more marked atearly times, even though these molecules are mainly expressedupon activation. This paradox may be related to the difficulty inevaluating the true “functional” presence of molecules on the cellsurface, as opposed to the presence detectable by antibody stainingand flow cytometry. With molecules that can have very rapid ratesof endocytosis, such as the CD28 family, transient presencemay besufficient for activity.There are several aspects to the “main response,” shared by all

    four positive costimulatory molecules: the same sets of genes areinduced or repressed, at different times after activation (Fig. 2);the differential response in Treg and Tconv is reproducible withall four. This overall sharing was already observed in the earlysamples (1 and 4 h), thus unlikely to stem from indirect effects.The implication is that all four have similar wiring of down-stream signals, and/or that they similarly impact on the moleculardynamics of the TCR in the signaling synapse. CD28 is recruitedto the immunological synapse soon after initiation of activation,where it recruits Lck and PKCθ, thus enhancing TCR signals.Such physical interactions may also apply to ICOS, BTLA andCD80. Importantly, there was a distinct split in the TCR-inducedtranscriptional activation: Although most of the response to CD3was further enhanced, a distinct gene cluster was refractory toadditional costimulation (Fig. 4B). Might those TCR signals thatresult in induction of the Il2ra/Irf4 cluster be routed througha PKCθ independent pathway?ICOS is known to be able to provide basic costimulatory support,

    but also has a unique input in vivo for the development of biasedeffector functions in CD4+ T cells into IL17-producing cells orBcl6hiCXCR5+ T follicular helpers (19). Accordingly, in our anal-yses, ICOS was the only costim to have a signature clearly distinctfrom that of CD28, uniquely activating several transcripts andfactors controlling differentiated effector functions (Ifng, Eomes,Gata3, Xcl1), albeit not with a marked skew on the correspondingsignatures. IL21 was transiently induced in response to ICOS(Table S1). Thus, the full effect of ICOSmay only bemanifest whenAPCs or B cells are present to provide the natural ligand and/or toamplify the intrinsic signature of ICOS engagement.Wewere surprised that BTLA4 andCD80, generally portrayed as

    coinhibitory molecules, actually activated the transcriptional mainresponse. Both seemed to mimic CD28 very faithfully in all aspects,albeit at lower levels, with little or no specific effects as observedwith ICOS. On the other hand, BTLA and CD80 did not activateproliferation in our assays (Fig. 1), and would appear inhibitory inproliferation-dependent contexts. This surprising transcriptionalcostimulation is unlikely to be an artifact from nonspecific cross-linking, because it was not observed with either CTLA4 or PD1. Itmay indicate a physical effect on the synapse andTCRmicroclustersmentioned above, but is also is consistent with the demonstratedbinding of Grb2 and Pi3K to a membrane-proximal phosphotyr-osine in the intracytoplasmic domain of BTLA, and some pro-survival effects of BTLA (12, 13). Activation of Pi3K may thendominate inhibitory signals elicited through the ITIM domains

    Ifng

    0.1 1 20

    0.1

    1

    20

    Ccr8

    Nkg7

    Eomes

    Xcl1

    Irf8

    Jun

    Eno3Gata3

    Ptpn3

    Socs2

    Scd2

    Bnip3

    Ak3

    Bnip3

    Prelid2

    Il2

    Anxa2

    Hk2

    5

    Late

    Tconv

    FoldChange CD3+CD28 / CD3

    Fol

    dCha

    nge

    CD

    3+IC

    OS

    / C

    D3

    Glycolysis of cells 3.5x10-6Homologous recombination of DNA 8.5x10-6Homologous recombination repair of DNA 2.3x10-6

    Proliferation of T lymphocytes 2.4x10-10Activation of T lymphocytes 2.7x10-9T cell development 1.6x10-9

    A

    10

    1

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    10

    1

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    0.1 1 10 0.1 1 10FoldChange CD3+CD28 / CD3

    Fold

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    OS

    / C

    D3

    Th1 Th2

    Th17 TFH

    B

    4558

    38

    47

    40

    55

    9 948

    10518

    62

    79

    23 571

    9

    5419

    69

    103

    116 23110

    3476105

    Fig. 3. Subtle differences between CD28 and ICOS engagement on acti-vated Tconv. (A). FC/FC plot comparing the late effect of CD28 (x axis) andICOS (y axis) over CD3 engagement alone. Red and blue dots denote genespreferentially responding to CD28 or ICOS, respectively. (B) Same plot,highlighting genes over- or under-expressed in different Th signatures(numbers along the axes indicate the number of signature genes over- orunderexpressed in response to the corresponding costim). Genes in the Th1/2/17 signatures per ref. 24; the Tfh signature per ref. 25.

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  • which BTLA shares with CTLA4 and PD1. In some contexts,blockade of the HVEM–BTLA axis did not have all of the negativeconsequences expected (11), and it may be that the coinhibitoryclassification of BTLA results from cross-competition, or coag-gregation, with other HVEM ligands.Many mechanisms have been proposed for the inhibitory

    actions of CTLA-4 and PD1, as presented above. Their damp-ening of the TCR response, in the minimalist experimentalsetting used here, were significant but very subtle. A differencefrom past studies in which stronger inhibitory effects were notedis that here they were tested alone, rather than in combinationwith CD28; hence, their major impact may be in dampeningCD28’s action. There is probably some direct inhibition of TCRsignals by CTLA4 and PD1 (from interference within the syn-apse and/or activation of inhibitory phosphatases via their ITIMmotifs), but also grounds to believe that much of their actionmust involve other players (e.g., competition for, or down-reg-ulation, of B7 family ligands on APCs). Importantly, and per-haps unexpectedly, PD1 and CTLA4 behaved very similarly inour assays.Finally, another surprise was that the hierarchy of effects

    were similar in Tconv and Treg cells. Because the latter expresssignificantly more CTLA4 and PD1, one might have expecteda stronger response. A sizeable fraction of the responses weresimilar in the two cell-types, such as Tbx21 or Ccr8. On theother hand, the responses that unfolded were very distinct (Fig.5). There is good evidence that TCR signaling pathways are

    activated in a quantitatively different manner in Treg cells,with lower recruitment of PKCθ (20–22), which must leadto the impressive differences in transcriptional inductionobserved here.In conclusion, our observations both simplify the understanding

    of costimulatory molecules in T cells by highlighting generic cell-autonomous pathways, but also add additional complexity inseveral respects.

    Materials and MethodsMice. Foxp3igfp knockin mice (23) were maintained in specific pathogen-freefacilities at Harvard Medical School per Institutional Animal Care and UseCommittee Protocol 02954.

    Cell Activation and Purification. Dynabeads M450 beads were coupled permanufacturer’s instructions with anti-CD3 (0.3 μg per 107 beads) alone orwith anti-costimulatory molecules (0.3 μg of anti-CD28 clone 37.51; 1.2 μg forall others to maximize their effects: anti-CTLA4: 9H10; -PD1: 19G8; -ICOS:C398.4A; -BTLA: 6F7; -CD80: 1G10); all complemented to 2 μg of total anti-body with nonbinding control IgG. CD4+ T cells from pooled spleen andlymph nodes of male mice were purified to >90% purity (Dynal CD4 Neg-ative Isolation kit, Invitrogen), and 2 × 105 cells were cultured in 96-well flat-bottom plates in 200 μL of RPMI 1640, 10% (vol/vol) FCS, at a cell:bead ratioof 1:2. Cells were harvested at 1, 4, 20, or 48 h, Tconv and Treg were sortedas DAPI−CD45R−CD8a−CD11b/c− CD4+ and either GFP+ or GFP−, respectively,directly into TRIzol reagent. The 1- and 4-h, or 20- and 48-h, lysates werepooled as early or late time points, respectively (for Treg cells, the 20 h lysateonly was used as the late sample). For proliferation assays, purified CD4+

    Early

    CD3+CTLA4CD3+CD28 CD3+ICOS

    CD3+BTLACD3+PD1 CD3+CD80

    0 200 4000.05

    1

    10

    0.05

    1

    10

    Fold

    Cha

    nge

    vs U

    nstim

    .

    Rank0 200 4000 200 400

    Late

    CD3+CTLA4CD3+CD28 CD3+ICOS

    CD3+BTLACD3+PD1 CD3+CD80

    600 1200Rank

    0 600 12000 600 1200

    LateLate

    PD1 effect (ratio of FCs)

    CTL

    A4

    effe

    ct (r

    atio

    of F

    Cs)

    Early

    0.8 1.0 1.2

    Chd7

    Jhdm1dKlhl24

    March7Ptpn22Nkrf

    Tnfrsf18

    Icos

    Cenpl

    Eid3

    Spag9C530030P08Rik

    Tubb2a

    Zcchc11

    Acsl4

    2410089E03RikKras

    Acsl3Plcxd2Trps1

    Cblb

    Phf6

    Skil

    Rbbp8Rnf125Jmy

    Ell2

    Dennd4a

    Dusp16

    Cdkn1a

    Vps37b

    Arl5b

    Tgif1

    Gch1

    0.8

    1.0

    1.2

    CTL

    A4

    effe

    ct (r

    atio

    of F

    Cs)

    PD1 effect (ratio of FCs)

    Late

    0.8 1.0 1.2

    Ccdc86Smarca5EG547347

    Lrmp

    Zdhhc21

    Rpap3

    Bcl6

    Gm6540Crem

    Gm5589 P2ry10

    Irgm1

    Eif2s2Eif3aSsb

    Wfikkn2

    3110082I17Rik

    Ezh2

    2610101N10RikFabp5Aurkb

    Car12

    Mphosph10

    Gm16489 Fasl

    Mmd

    2010204K13RikStil

    Gabarapl1

    Zc3h12dGfi1

    Tbc1d30

    Rasgef1b

    Cd24a

    Tnfsf8

    Slamf7

    Bcl2a1c

    Csda

    Gm5970

    Alcam

    Nr4a3Tnfrsf9

    Il2ra

    0.8

    1.0

    1.2

    A

    Irf4

    Akr1c18

    Zfp52

    Il2ra

    Gbp5

    Nr4a3

    Tnfrsf9Bcat1

    Pou2af1

    Sema7a

    Ccr8

    Ccnb2

    Irf8

    Eomes

    Xcl1

    Dtl

    Response to aCD3 alone

    Res

    pons

    e to

    aCD

    3+

    ICO

    S

    0.05

    5

    0.5

    0.05

    5

    0.5

    Top2a Irf4

    Akr1c18

    Nr4a1

    Zfp52

    Kif11

    Il2ra

    Ak3

    Gbp5

    Nr4a3

    Tnfrsf9Ccnb1 Bcat1

    Pou2af1

    Sema7a

    Response to aCD3 alone

    Res

    pons

    e to

    aCD

    3+

    CD

    28

    0.05 0.1 0.5 1 5 10 0.05 0.1 0.5 1 5 10

    C

    B

    Fig. 4. Costim effects on TCR-induced responses.(A) Transcripts most strongly induced or repressedby CD3 engagement in Tconv cells were selectedand ranked according to this ratio (black dots), andtheir change (relative to Unstimulated) in responseto anti-CD3 plus each costim were plotted on thesame scale (blue dots). (B) FC/FC plots comparingthe response to CD3 alone vs. 3+CD28 (Left) or 3+ICOS (Right). (C) Inhibitory effects of CTLA4 or PD1:The effect of coinibitory engagement was calcu-lated as a ratio of Fold changes [as ((CD3+CTLA4)/Unstim)/(CD3/Unstim)] and significance estimatedas a t test. Transcripts with P value

  • T cells were labeled with 10 μM CFSE (Molecular Probes) at 107 cells per mLRPMI1640 for 20 min at 37 °C. After 66-h culture, proliferation was assessedby CFSE dilution.

    Gene-Expression Analysis. RNA was amplified, labeled, and hybridized toMouse Gene 1.0 ST arrays with the data generation and quality controlpipeline of the Immunological Genome Project (www.immgen.org), inbiological triplicates (duplicates only for ICOS and CD80). Raw data werebackground-corrected and normalized using the RMA algorithm (Affy-metrix PowerTools), and analyzed with GenePattern, S+, and Ingenuity

    Pathway Analysis software. Data were filtered for unannotated probes,for genes with no expression in any condition (EV < 120), and for probesgiving discordant data between replicates (interreplicate CV > 0.7).Datasets have been deposited at Gene Expression Omnibus.

    ACKNOWLEDGMENTS. We thank Drs. A. Sharpe, G. Freeman, and V. Kuchroofor insightful discussions and K. Hattori and K. Rothamel for help with miceand microarrays. This work was supported by National Institutes of HealthGrant P01-AI056299 (to D.M. and C.B.) and benefitted from data generatedby the Immunological Genome Project.

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    Tre

    gC

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    CD

    28 /

    CD

    3

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    Tbx21

    Irf8

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    Cxcl10

    Tnfrsf8

    Penk

    Ccr8 Tbx21

    Dtl

    Chek1

    Ppil5

    Nrp1

    Il7r

    S1pr1

    Txk

    Traf3ip3

    Il6raSlc28a2

    Batf

    MitosisChromosome segregationM phase

    2.6x10-304.4x10-262.0x10-25

    rRNA processingATP RecoveryNucleoside synthesis

    5.4x10-63.2x10-53.2x10-5

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    CD

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    CD

    3Tconv CD3+CD28 / CD3

    Fig. 5. Comparative effects of costims in Tconv andTreg cells. (A) Effect of CD28. The ratio of expressionafter CD3+CD28 engagement, relative to CD3 alone,was calculated in Tconv (x axis) and Treg (y axis) atearly (Left) and late (Right) times. Genes inducedspecifically (>twofold differential) in Treg or Tconvare highlighted (blue and red, respectively); genesrepressed in both are shown in green. (B) Dispositionof the genes identified and color-coded in A, in plotsthat compare the effect of each costim in Tconv (xaxis) vs. Treg (y axis) cells.

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  • Supporting InformationWakamatsu et al. 10.1073/pnas.1220688110

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    0.2

    0.3

    0.4

    0.5

    Anti -CD28 mAb (µg)

    Fig. S1. Titration of anti-CD3 and -CD28 mAbs. Representative titration experiment to determine the quantity of bead-coupled antibodies. M450 beads werecoupled with varying amounts of anti-CD3 and anti-CD28 mAb (supplemented with irrelevant IgG to a total amount of 2 μg for 107 beads), and used tostimulate CFSE-labeled CD4+ splenocytes from B6 mice. Stimulation was evaluated after 60 h as dilution of CFSE label.

    Tbx21

    Sema7a

    Lif

    Socs1

    FasL

    Slamf7

    FoldChange CD3+CD28 / CD3

    Fold

    Cha

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    CD

    3+IC

    OS

    / C

    D3

    0.2 1 5

    0.2

    1

    5

    Tconv

    Early

    Fig. S2. Early differences between CD28 and ICOS engagement on Tconv. Fold change/fold change plot comparing the effect of CD28 (x axis) and ICOS (y axis)over CD3 engagement alone (similar to the plot shown in Fig. 3A, but at early times).

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  • Fig. S3. (Continued)

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  • Fig. S3. Costim effects on TCR-induced responses. Fold change/fold change plot comparing the late effect of engaging CD3 alone (x axis) or together with anyone of the costims (y axis). (A) Profiles from Tconv cells at early (Upper) or late (Lower) times. (B) Profiles from Treg cells.

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  • Table S1. Fold change in transcripts encoding key cytokines

    Probeset ID

    Genesymbol CD3/Unstim CD28 CTLA4 ICOS PD1 BTLA CD80 CD3/Unstim CD28 CTLA4 ICOS PD1 BTLA CD80

    10497878 Il2 1.5 6.3 1.01 2.78 1.01 1.79 1.54 2.89 4.06 0.85 1.1 0.94 1.73 1.3610497886 Il21 1.23 1.11 0.87 1.62 1.01 1.34 1.5 0.69 1.14 0.98 0.9 0.91 0.98 0.8410366586 Ifng 1.1 1.99 1.12 2.44 1.16 1.7 1.74 0.5 1.26 1.07 2.12 0.96 1.4 1.1610385832 Il4 1.5 1.47 1.01 1.49 0.99 1.31 1.03 1.03 1.92 0.9 1.18 1.05 1.35 1.3210345032 Il17a 0.95 0.96 0.95 1.09 1 1 0.87 0.93 0.86 1 0.99 0.95 0.9 1.0910353415 Il17f 1.05 0.98 1.01 0.98 1.03 0.97 0.96 1.06 0.9 0.96 0.98 1.01 0.97 1.01

    10

    5

    2

    1

    0.5

    0.2

    FoldChange CD3+CD28 / CD3

    Fold

    Cha

    nge

    CD

    3 +IC

    OS

    / C

    D3

    Eomes

    Xcl1

    Eno3

    1 2 5 100.50.2

    Crabp2

    EomesSema7a

    Xcl1

    Prdm1

    Pebp1

    Mpzl1

    Il1r2

    Socs2

    Tbx21Ccr8

    Hspd1

    Chek1

    Dtl

    Itgae

    Maf

    Il1rl1Klrg1

    Late

    Gata3

    Treg

    late

    10

    5

    2

    1

    0.5

    0.2

    FoldChange CD3+CD28 / CD3

    Fold

    Cha

    nge

    CD

    3 +IC

    OS

    / C

    D3

    Eomes

    Xcl1

    Eno3

    1 2 5 100.50.2

    Crabp2

    EomesSema7a

    Xcl1

    Prdm1

    Pebp1

    Mpzl1

    Il1r2

    Socs2

    Tbx21Ccr8

    Hspd1

    Chek1

    Dtl

    Itgae

    Maf

    Il1rl1Klrg1

    Late

    Gata3

    Treg

    late

    Fig. S4. Comparative effects of CD28 and ICOS in Treg cells. FoldChange/FoldChange plot comparing, in Treg cells, the late effect of CD28 (x axis) and ICOS (yaxis) over CD3 engagement alone. Red and blue dots denote genes preferentially responding to CD28 or ICOS, respectively.

    Other Supporting Information Files

    Dataset S1 (XLS)Dataset S2 (XLS)

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