Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Environmental conditioning by type I interferons poises naive CD4+ T cells for transition to precursor central memory cells

ABSTRACT: Upon antigenic stimulation, naïve CD4+ T cells differentiate into phenotypically distinct T helper cells. Naïve T cells are considered homogenous save for their unique T cell receptor (TCR), thought to confer distinct differentiation potential according to its affinity for cognate antigen. Here we show that naïve T cells are transcriptionally heterogeneous and identify a role for type I interferon (IFN) in shaping this heterogeneity. Using complementary single cell analyses, we show that T cell fate is independent of TCR and identify a role for type I IFN signaling in regulating the early differentiation of naïve CD4 T cells towards central memory precursors. Thus, naïve CD4 T cell differentiation potential is determined by environmental cues both prior to and during priming. IFN-conditioned naïve CD4 T cells are expanded in human viral infection and autoimmunity highlighting the relevance of this pathway to beneficial and maladaptive T cell responses, as well as its therapeutic potential for enhanced T cell memory formation.

ORGANISM(S): Mus musculus

PROVIDER: GSE171527 | GEO | 2023/03/22

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Deciphering and predicting CD4+ T cell immunodominance of Influenza virus hemagglutinin

Project description:The importance of CD4+ T helper (Th) cells is well appreciated in view of their essential role in the elicitation of antibody and cytotoxic T cell responses. However, the mechanisms that determine the selection of immunodominant epitopes within complex protein antigens remain elusive. Here, we used ex vivo stimulation of memory T cells and screening of naïve and memory T cell libraries, combined with T cell cloning and TCR sequencing, to dissect the human naïve and memory CD4+ T cell repertoire against the influenza pandemic H1 hemagglutinin (H1-HA). We found that naïve CD4+ T cells have a broad repertoire, being able to recognize naturally processed as well as cryptic peptides spanning the whole H1-HA sequence. In contrast, memory Th cells were primarily directed against just a few immunodominant peptides that were readily detected by mass spectrometry-based MHC-II peptidomics and predicted by structural accessibility analysis. Collectively, these findings reveal the presence of a broad repertoire of naïve T cells specific for cryptic H1-HA peptides, and demonstrate that antigen processing represents a major constraint determining immunodominance.

2020-06-29 | PXD018151 | Pride

Expression data from primary and secondary CD4 T cell effectors responding towards influenza A virus infection

Project description:How secondary CD4 T cell effectors, derived from resting memory cells, differ from primary cells, derived from naïve precursors, and how such differences impact recall responses to pathogens is unknown. We used microarrays to detail the global programme of gene expression underlying differences between primary and secondary CD4 T cell effectors purified from the spleen, dLN, and lung on day 7 following A/PR8/34 influenza infection. Congenic naïve or in vivo influenza primed memory HNT TCR trangenic CD4 T cells were sort purifed from the spleens, dLNs, and lungs of infected mice on day 7 post infection for RNA extraction and hybridization on Affymetrix microarrays. We sought to obtain only CD4 T cell populations that had entered into the immune response by also sorting and collecting only those cells that had divided at least 5 times by CFSE analysis.

2012-08-27 | E-GEOD-40230 | biostudies-arrayexpress

Single cell profiling of CD4+ T cells from human fetal intestine

Project description:The fetus is thought to be protected from exposure to foreign antigens, yet CD45RO+ T-cells reside in the fetal intestine. We combined functional assays with mass cytometry, single-cell RNA-sequencing, and high-throughput TCR-sequencing to characterize the fetal intestinal CD4+ T-cell compartment. We identified 22 CD4+ T-cell clusters, including naive-like, regulatory-like, and memory-like subpopulations, which were confirmed and further characterized at the transcriptional level. Memory-like cells expressed high levels of Ki-67, indicating cell division, and CD5, a surrogate marker of TCR-avidity, and produced IFN-γ and IL-2. Pathway analysis revealed a differentiation trajectory associated with cellular activation and proinflammatory effector functions, and TCR-repertoire analysis demonstrated clonal expansions, distinct repertoire characteristics, and interconnections between subpopulations of memory-like CD4+ T-cells. Imaging-mass cytometry further showed that memory-like CD4+ T-cells colocalized with antigen-presenting cells. Collectively, these results provided evidence for the generation of memory-like CD4+ T-cells in the human fetal intestine, consistent with exposure to foreign antigens.

2018-11-24 | GSE122846 | GEO

ATAC-Seq of CD8+ T cells during activaion in vitro over the course 24 hours with and without Runx3

Project description:T cell receptor (TCR) stimulation of naïve CD8+ T cells initiates reprogramming of cis-regulatory landscapes that specify effector and memory cytotoxic T lymphocyte (CTL) differentiation. We mapped regions of hyper-accessible chromatin in naïve cells during TCR stimulation and discovered that the transcription factor (TF) Runx3 controls de novo access to memory CTL-specific cistromes prior to the first cell division, and is essential for memory CTL differentiation. Runx3 specifically promotes accessibility of cis-acting regions highly enriched with IRF, bZIP and Prdm1-like family TF motifs, upregulates IRF4 and establishes feed-forward transcriptional circuits that induce fundamental CTL attributes in memory precursor cells. Runx3 drives uncoupling from the naïve cell state, but subsequently restrains terminal differentiation of nascent CTL by preventing high expression of the TF T-bet and slowing effector cell proliferation. Enforced Runx3 expression enhances memory CTL differentiation and increases their numbers during iterative infections. Thus, Runx3 functions in a pioneering role to initialize and then ensure memory CTL differentiate.

2018-04-19 | GSE111144 | GEO

RNA-Seq of CD8+ T cells during LCMV infection [WT infection]

2018-04-19 | GSE111143 | GEO

RNA-Seq of CD8+ T cells expressing different levels of Runx3 in during LCMV infection (in vivo)

2018-04-19 | GSE111138 | GEO

Chromatin Associated RNA-Seq of CD8+ T cells expressing different levels of Runx3 in a cell culture model of CTL differentiation [Chr Assoc]

2018-04-19 | GSE111135 | GEO

Expression data from 5 IFN type I-derived Dendritic Cells

Project description:Type I interferon (IFN) is a family of 15 cytokines (in human 13α, 1β,1ω) which exert several cellular functions through the binding to a common receptor. Despite the initial activation of the same Jak/Stat signalling pathway, the cellular response may be different depending on the type I IFN subtype. We investigated the activity of different type I IFN subtypes - IFNα1, α2, α8, α21, ω and β- on the differentiation of DC. Transcriptome analyses identified two distinct groups, the IFNα/ω-DC and the IFNβ-DC. 78 genes, 7 chemokines and expression levels of cell surface markers characteristic of DC distinguished IFNα-DC and IFNβ-DC. These differences are unlikely to impact the efficacy of T cell functional response since IFNα2-DC and IFNβ-DC were equipotent in inducing the proliferation and the polarization of allogenic naïve CD4 T cells into Th1 cells and in stimulating autologous memory CD4 or CD8 T cells. In contrast, IFNα2-DC were found to be more efficient than IFNβ-DC in the phagocytic uptake of dead cells. Human blood monocytes were differentiated in DC by using 5 differents IFN type I (IFNα2, α1, α8, α21 and β). After 3 days of differentiation RNA were extracted and analyzed by affymetrix microarray.

2012-09-20 | E-GEOD-40268 | biostudies-arrayexpress

CD4+ T cells treated with TNFalpha blocking agents during activation.

Project description:Objective. TNF? is a potent pro-inflammatory cytokine playing a pivotal role in several autoimmune diseases. Neutralizing TNF? inhibits T cell proliferation and IFN? production, and enhances suppressive capacity of regulatory T cells (Treg). Little is known about the mechanism of TNF? blocking agents on naïve T cell differentiation. Methods. Naïve CD4+ T cells were activated by dendritic cells (DC) in presence or absence of anti-TNF? agents. T cell polarization and activation was assessed during T cell differentiation. In addition, whole genome gene expression analysis was performed on anti-TNF?-treated T cells. Results. Neutralizing TNF? during priming of naïve CD4+ T cells by DC favors development of IL-10+ T helper (Th) cells at the expense of IFN? induction. TNF? inhibits IL-10 via TNFRII, which becomes expressed after naïve T cell activation. While initial CD4+ T cell activation was not affected, neutralization of TNF? negatively affected later stages of T cell priming by counteracting full T cell activation and survival. Whole genome gene expression analysis revealed a regulatory gene profile of anti-TNF?-treated T cells. Indeed, neutralizing TNF? during naïve T cell priming enhanced the suppressive function of anti-TNF?-treated T cells. Conclusion. Inhibition of TNF?–TNFRII interaction affects late stage effector T cell development and shifts the balance of Th cell differentiation towards IL-10 expressing regulatory T cells, which may be one of the beneficial mechanisms in TNF? blocking therapies. Naïve CD4+ T cells were CFSE labeled and co-cultured for 13 days with allogeneic dendritic cells in the presence or absence of anti-TNF? agents. After 13 days, the CFSElow T cells were FACS sorted. Samples were generated from three independent donors.

2014-06-25 | E-GEOD-42812 | biostudies-arrayexpress

Runx3 pioneers chromatin accessibility of cis-regulatory landscapes that drive memory CTL formation

2018-04-19 | GSE111149 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data