Small intestine intraepithelial CD4+ T cells after Toxoplasma gondii infection
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE55067 | GEO | 2014/02/15
SECONDARY ACCESSION(S): PRJNA238368
REPOSITORIES: GEO
Similar Datasets
Project description:Retention of lymphocytes in the intestinal mucosa requires specialized chemokine receptors and adhesion molecules. Here we find that both CD4+CD8+ and CD4+T cells in the intestinal epithelium, as well as CD8+T cells in the intestinal mucosa and mesenteric lymph nodes, express the cell adhesion molecule Crtam upon activation, whereas the ligand of Crtam, Cadm1, is expressed on gut CD103+DCs. Lack of Crtam-Cadm1 interactions in Crtam-/- and Cadm1-/- mice results in loss of CD4+CD8+T cells, which arise from mucosal CD4+T cells that acquire a CD8 lineage expression profile. Following acute oral infection with T. gondii, both WT and Crtam-/- mice mounted a robust TH1 response, but markedly fewer TH17 cells were present in the intestinal mucosa of Crtam-/- mice. The almost exclusive TH1 response in Crtam-/- mice resulted in more efficient control of intestinal T. gondii infection. CD4+ T cells were cell sorted to analyze the differences resulting from the lack of Crtam expression during T. gondii infection.
2014-02-15 | E-GEOD-55067 | biostudies-arrayexpress
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
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2014-05-06 | E-GEOD-49877 | biostudies-arrayexpress
Project description:Spleens from the B6 mice were isolated and single cell suspension was made. CD4 T cells were purified from the splenocytes using magnetic bead separation. Briefly, Splenocytes were incubated with biotinylated antibody cocktail consisting of antibodies (Biolegend) to CD19, B220, CD11b, CD11c, NK1.1, Gr1, CD25 CD8. After a wash step, cells were incubated with streptavidin conjugated magnetic particles (BD Biosciences). After washing, CD4 T cells were isolated by applying a magnetic field and removing the untouched cells. Purified CD4 T cells were then activated with plate-bound anti-CD3 plus anti-CD28 in presence of either Th1 or Th17 or Th1/17 polarizing condition for 3 days. Total RNA from the 3 days differentiated Th1, Th17 and Th1/17 cells was isolated using mirVana miRNA isolation Kit (Invitrogen).
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Project description:Transforming growth factor-β (TGF-β) has been implicated in the control of differentiation and proliferation of multiple cell types. However, a role for TGF-β in the control of immune homeostasis is not fully understood because of its pleiotropic action. Here we report that complete ablation of the TGF-β signaling in T cells engendered aggressive early-onset, multiorgan, autoimmune-associated lesions with 100% mortality. Peripheral CD4+ and CD8+ T cells with TGF-β-receptor II (TGF-βRII) deficiency activated cytolytic and T helper 1 (Th1) differentiation program in a cell-intrinsic T cell receptor (TCR)-specific fashion. Furthermore, TGF-βRII deficiency blocked the development of canonical CD1d-restricted NKT cells. Instead, it facilitated generation of a highly pathogenic T cell subset exhibiting multiple hallmarks of NK cells and sharply elevated amounts of FasL, perforin, granzymes, and interferon-γ. Thus, TGF-β signaling in peripheral T cells is crucial in restraining TCR activation-dependent Th1, cytotoxic, and NK cell-like differentiation program which, when left unchecked, leads to rapidly progressing fatal autoimmunity. Experiment Overall Design: To better understand the basis for pathogenicity of TGF-βRII-deficient NK1.1+ T cells, we performed gene expression profiling of NK1.1+ and NK1.1â T cell subsets from Tgfbr2fl/fl x CD4-Cre mice. We limited our analysis to CD8+ T cell subsets because NK1.1+ CD8 T cells made up 70% of total NK1.1+ T cells in Tgfbr2fl/fl x CD4-Cre mice, and this T cell subset showed the greatest numerical increase compared to littermate control mice. Thus, in these experiments we used FACS-sorted NK1.1+ and NK1.1â CD8+ T cells from 15- to 17-day-old mutant mice and total CD8+ T cells from Tgfbr2fl/wt x CD4-Cre littermate controls. Experiment Overall Design: mRNA expression profiles of NK1.1+ and NK1.1â CD8+ T cells from Tgfbr2fl/fl x CD4-Cre (KO) mice were compared to NK1.1â T cells from littermate control Tgfbr2fl/WT x CD4-Cre (Control) mice.
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Project description:<p>The classic neurotransmitter gamma-aminobutyric acid (GABA) has been shown to shape the activation and function of immune cells. There are four high affinity GABA transporters (GATs, including GAT-1, GAT-2, GAT-3 and GAT-4) responsible for the transmembrane transport of GABA in mice. To explore the effect of GAT-2 on type 1 helper T (Th1) cells, naïve CD4+ T cells were isolated from splenocytes of GAT-2 knockout (KO) and wild-type (WT) mice and cultured for Th1 cell differentiation, and then metabolomics analysis of Th1 cells was performed via gas chromatography coupled to time-of-flight mass spectrometry (GC-TOF-MS) added with multivariate analyses. The study will provide insights into T cell response to GAT-2 deficiency in mice.</p>
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