Critical role of histone demethylase Jmjd3 in the regulation of CD4+ T cell differentiation
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE58775 | GEO | 2015/06/13
SECONDARY ACCESSION(S): PRJNA253470
REPOSITORIES: GEO
Similar Datasets
Project description:Epigenetic factors have been implicated in the regulation of CD4(+) T-cell differentiation. Jmjd3 plays a role in many biological processes, but its in vivo function in T-cell differentiation remains unknown. Here we report that Jmjd3 ablation promotes CD4(+) T-cell differentiation into Th2 and Th17 cells in the small intestine and colon, and inhibits T-cell differentiation into Th1 cells under different cytokine-polarizing conditions and in a Th1-dependent colitis model. Jmjd3 deficiency also restrains the plasticity of the conversion of Th2, Th17 or Treg cells to Th1 cells. The skewing of T-cell differentiation is concomitant with changes in the expression of key transcription factors and cytokines. H3K27me3 and H3K4me3 levels in Jmjd3-deficient cells are correlated with altered gene expression through interactions with specific transcription factors. Our results identify Jmjd3 as an epigenetic factor in T-cell differentiation via changes in histone methylation and target gene expression. ChIP-seq of histone modification marks H3K4me3 and H3K27me3 in WT and JMJD3 cKO mouse CD4+ T-cells
2015-06-13 | E-GEOD-58775 | biostudies-arrayexpress
Project description:Part 1/5: It includes lipidomic analysis of CD4+ T-cell subsets(Th1,Th2,Th17 and iTreg cells)and their paired controls(Th0 cells).
2021-01-28 | ST001676 | MetabolomicsWorkbench
Project description:Carbo2013 - Cytokine driven CD4+ T Cell differentiation and phenotype plasticity
CD4+ T cells can differentiate into different phenotypes
depending on the cytokine milieu. Here a computational and mathematical model with sixty ordinary differential equations representing a CD4+ T cell differentiating into either Th1, Th2, Th17 or iTreg cells, has been constructed.
The model includes cytokines,
nuclear receptors and transcription factors that define fate
and function of CD4+ T cells. Computational simulations
illustrate how a proinflammatory Th17 cell can undergo
reprogramming into an anti-inflammatory iTreg phenotype
following PPARc activation.
This model is described in the article:
Systems Modeling of Molecular Mechanisms Controlling Cytokine-driven CD4+ T Cell Differentiation and Phenotype Plasticity.
Carbo A, Hontecillas R, Kronsteiner B, Viladomiu M, Pedragosa M, Lu P, Philipson CW, Hoops S, Marathe M, Eubank S, Bisset K, Wendelsdorf K, Jarrah A, Mei Y, Bassaganya-Riera J
PLoS Computational Biology [2013, 9(4):e1003027]
Abstract:
Differentiation of CD4+ T cells into effector or regulatory phenotypes is tightly controlled by the cytokine milieu, complex intracellular signaling networks and numerous transcriptional regulators. We combined experimental approaches and computational modeling to investigate the mechanisms controlling differentiation and plasticity of CD4+ T cells in the gut of mice. Our computational model encompasses the major intracellular pathways involved in CD4+ T cell differentiation into T helper 1 (Th1), Th2, Th17 and induced regulatory T cells (iTreg). Our modeling efforts predicted a critical role for peroxisome proliferator-activated receptor gamma (PPARγ) in modulating plasticity between Th17 and iTreg cells. PPARγ regulates differentiation, activation and cytokine production, thereby controlling the induction of effector and regulatory responses, and is a promising therapeutic target for dysregulated immune responses and inflammation. Our modeling efforts predict that following PPARγ activation, Th17 cells undergo phenotype switch and become iTreg cells. This prediction was validated by results of adoptive transfer studies showing an increase of colonic iTreg and a decrease of Th17 cells in the gut mucosa of mice with colitis following pharmacological activation of PPARγ. Deletion of PPARγ in CD4+ T cells impaired mucosal iTreg and enhanced colitogenic Th17 responses in mice with CD4+ T cell-induced colitis. Thus, for the first time we provide novel molecular evidence in vivo demonstrating that PPARγ in addition to regulating CD4+ T cell differentiation also plays a major role controlling Th17 and iTreg plasticity in the gut mucosa.
Author's comment:
CD4+ T cell computational model (Version 1.4)
Steady state corrected. There was a problem in the internalization of IL-17 in its mathematical function.
This model is hosted on BioModels Database
and identified
by: MODEL1304230001
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2013-05-09 | BIOMD0000000451 | BioModels
Project description:CD4+ T cells are critical components in the human immune system. They produce cytokines to fight against pathogens and abnormal cells and stimulate other cells, such as B cells, macrophages, and neutrophils, to generate an immune response.
Naive CD4+ T cells are precursor cells that can differentiate into T helper - 1, - 2, - 17 (Th1, Th2, Th17) and regulatory T cells (Tregs) subtypes based on the type of pathogens or disease. The naive CD4+ T cell model consists of 5179 reactions, 3153 metabolites, and 1055 genes. Together with Th1, Th2, and Th17 models, the naive CD4+ T cell model helped identify drug targets and repurposable drugs against autoimmune diseases.
2023-11-27 | MODEL1909260003 | BioModels
Project description:Multipotential naïve CD4+ T cells differentiate into distinct lineages including T helper 1 (Th1), Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We found that although modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-? induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation. Experiment Overall Design: Different T helper subsets are profiled for mRNA expression.
2009-01-16 | E-GEOD-14308 | biostudies-arrayexpress
Project description:T helper (Th) cells control host defense to pathogens. IL 12R expression is required for Th1, IL-4RM-NM-1 for Th2, and IL-6RM-NM-1/gp130 for Th17 differentiation to allow responsiveness to IL-12, IL-4, and IL-6, respectively. IL-2 via STAT5 controls Th2 differentiation by regulating the Th2 cytokine gene cluster and Il4ra expression. Here we show that IL-2 regulates Th1 differentiation, inducing STAT5-dependent IL-12RM-NM-22 and T-bet expression, with impaired human Th1 differentiation when IL-2 was blocked. Th1 differentiation was also impaired in mouse Il2-/- T cells but restored by IL-12RM-NM-22 expression. Consistent with IL-2M-bM-^@M-^Ys inhibition of Th17 differentiation, IL-2 decreased Il6ra and Il6st/gp130 expression, and Il6st augmented Th17 differentiation even when IL-2 was present. Thus, IL-2 influences T-cell differentiation by modulating cytokine receptor expression to help specify/maintain differentiated states. Genome-wide mapping of STAT1,STAT4,STAT5A,STAT5B binding to their target genes in Th1 or human CD4+ cells was conducted
2011-04-24 | E-GEOD-27158 | biostudies-arrayexpress
Project description:IRF4 is critical for differentiation of various CD4+ effector T cells, such as T helper 1 (Th1), Th2, and Th17 subsets, through interaction with BATF-containing AP-1 heterodimers. A major BATF heterodimeric partner, JunB, regulates Th17 differentiation, but the role of JunB in other CD4+ effector T subsets is not fully understood. Here we demonstrate that JunB is essential for accumulation of Th1 and Th2 cells, as well as Th17 cells, both in vitro and in vivo. In mice immunized with lipopolysaccharide (LPS), papain, or complete Freund’s adjuvant (CFA), that induce predominantly Th1, Th2 and Th17 cells, respectively, accumulation of antigen-primed, Junb-deficient CD4+ T cells is significantly impaired. Loss of JunB decreases viability of cells activated under Th1-, Th2-, and Th17-polarizing conditions. RNA-sequencing (RNA-seq) and chromatin immunoprecipitation sequencing (ChIP-seq) reveal that JunB directly regulates expression of various genes that are commonly induced in priming of naïve CD4+ T cells, including a pro-apoptotic gene Bcl2l11 (encoding Bim), and genes that are specifically induced in Th1, Th2, and Th17 cells. Furthermore, JunB colocalizes with BATF and IRF4 at genomic regions for approximately half of JunB direct target genes. Taken together, JunB, in collaboration with BATF and IRF4, serves a critical function in differentiation of diverse CD4+ T cells by controlling common and lineage-specific gene expression.
2021-10-01 | GSE172490 | GEO
Project description:Multipotential naïve CD4+ T cells differentiate into distinct lineages including Th1, Th2, Th17, and inducible T regulatory (iTreg) cells. The remarkable diversity of CD4+ T cells begs the question whether the observed changes reflect terminal differentiation with heritable epigenetic modifications or plasticity in T cell responses. We generated genome-wide histone H3 lysine 4 (H3K4) and lysine 27 (H3K27) trimethylation maps in naïve, Th1, Th2, Th17, iTreg, and natural (n)Treg cells. We find that while modifications of signature cytokine genes (Ifng, Il4, and Il17) partially conform to the expectation of lineage commitment, critical transcription factors such as Tbx21 exhibit a broad spectrum of epigenetic states, consistent with our demonstration of T-bet and IFN-γ induction in nTreg cells. Our data suggest an epigenetic mechanism underlying the specificity and plasticity of effector and regulatory T cells and also provide a framework for understanding complexity of CD4+ T helper cell differentiation. genome-wide analysis of histone H3 K4 and K27 trimethylation in different sub-lineages of mouse CD4+ T cells. (12 samples in total)
2009-01-21 | E-GEOD-14254 | biostudies-arrayexpress
Project description:Host defense against diverse pathogens involves the recruitment and differentiation of CD4+ T effector subsets including T helper 1 (Th1), Th2, Th17 and induced regulatory T (Treg) cells. Surface phenotype studies have revealed subset-specific surface markers for the identification and purification of human primary CD4+ T effector subsets. In the present study, we aimed to characterize the mRNA and large intergenic non-coding RNA (lincRNA) expression differences between human primary CD4+ T effector subsets and identify potential subset-specific genes. To achieve this goal, mRNA and lincRNA microarray profiling of flow cytometry-sorted human primary Th1, Th2, Th17 and Treg cells was performed. Principal component and pathway analyses revealed subset-specific gene expression patterns. A Th2-specific lincRNA, GATA3-AS1, also termed FLJ45983, was identified in primary immune cells and tissues, as well as in in vitro polarized CD4+ T effector subsets. Further analysis showed that GATA3-AS1 was a potential diagnostic marker in allergy, a Th2-associated disease. This first systematic genome-wide analysis of gene expression differences between primary CD4+ T effector subsets may help to identify novel regulatory protein-coding genes and lincRNAs regulating CD4+ T cell subset differentiation, as well as potential diagnostic markers. As an example, we identified a GATA3-associated Th2-specific marker lincRNA GATA3-AS1. Gene expression microarray analysis of flow-cytometry sorted human primary naïve CD4+ T cells, CD4+ T central memory cells, Th1, Th2, Th17 and Treg cells from buffy coat of four healthy controls Gene expression microarray analysis was performed using SurePrint G3 Human Gene Expression 8X60K microarray.
2013-06-01 | E-GEOD-43005 | biostudies-arrayexpress
Project description:Although lincRNAs are implicated in regulating gene expression in various tissues, little is known about lincRNA transcriptomes in the T cell lineages. Here we identify 1,524 lincRNAs in 42 T cell samples from early T cell progenitors to terminally differentiated T helper subsets. Our analysis revealed highly dynamic and cell-specific expression patterns of lincRNAs during T cell differentiation. Importantly, these lincRNAs are located in genomic regions enriched for protein-coding genes with immune-regulatory functions. Many of these transcripts are bound and regulated by the key T cell transcription factors, T-bet, GATA3, STAT4 and STAT6. We demonstrate that the lincRNA LincR-Ccr2-5'AS, together with GATA3, is an essential component of a regulatory circuit in Th2-specific gene expression. To obtain comprehensive profiles of lincRNA expression during the development and differentiation of T cell lineages, we purified CD4-CD8 double negative (DN) cells (DN1, DN2, DN3 and DN4), double positive (DP) cells (CD4+CD8+CD3low and CD4+CD8intCD69+), single positive (SP) CD4 and CD8 cells, and thymic-derived regulatory T cells (tTreg) from thymi of C57BL/6 mice. Additionally, we obtained Th1, Th2, Th17 and iTreg cells by in vitro differentiation of naM-CM-/ve CD4 T cells for a various length of time in culture (4 hrs, 8 hrs, 12 hrs, 24 hrs, 48 hrs, 72 hrs, 1 week, 2weeks). Total and/or polyadenylated RNAs from these cells was analyzed using RNA-Seq. To understand the regulation of lincRNAs by T cell master regulator T-bet, we compared the transcriptiomes between T-bet deficient Th1 cells and control Th1 cells. We did similar experiments and data analysis for STAT4 (Th1), GATA3 (Th2) and STAT6 (Th2). Finally, to address the funcation of a Th2-specifically expressed lincRNA, lincR-Ccr2-5'AS, we compared the transcriptomes between lincR-Ccr2-5'AS knockdown Th2 cells and control Th2 cells.
2013-09-23 | E-GEOD-48138 | biostudies-arrayexpress