Expression data from Ctla4-/- and DKO CD4+ Tconv cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Joonsoo Kang
PROVIDER: E-GEOD-51099 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Ctla4-/- mice suffer from a severe autoimmunity characterized by indiscriminate self-reactive T cell activation. Itk-/-Ctla4-/- (DKO) mice are protected from lethal autoimmunity despite a fulminant autoimmune process in the LNs as self-reative T cells fail to migrate to destroy tissues. We used microarray to identify underlying differences in gene expression that could account for lack of migration of DKO T cells into tissues.
2013-09-25 | GSE51099 | GEO
Project description:Mast cells are indispensable for LPS-induced septic hypothermia, in which TNF-α plays an essential role to initiate sepsis. Tec family non-receptor tyrosine kinases ITK and BTK regulate mast cell-derived TNF-α in response to allergic antigen, but their role in LPS-induced TNF-α production by mast cells and related pathology is unclear. We sought to investigate the role(s) of ITK and BTK in mast cell response in septic condition. We found that the absence of ITK and BTK leads to enhanced TNF-α production by bone marrow-derived mast cells (BMMC). Itk-/-Btk-/- mast cells exhibit hyperactive preformed and LPS-induced TNF-α production, along with enhanced expression of other related genes such as NF-κB targeted genes, compared to WT cells. Bone marrow cells from 8-week old WT, Itk-/-, Btk-/- and Itk-/-Btk-/- (double knockout: DKO) C57Bl/6 mice were cultured in murine Interleukin-3/Stem cell factor (IL-3/SCF) supplemented medium for 5 weeks to derive mast cells. WT, Itk-/-, Btk-/- and DKO bone marrow-derived mast cells (BMMC) were factor starved in medium without IL-3/SCF for 12 hours, followed by treatment with PBS (control) or 100 ng/ml LPS for 1 hour. Triplicates of each group were subjected to mouse whole genome genechip microarray analysis. Replicates were randomized on different chips to avoid systematic error.
2015-11-23 | E-GEOD-64287 | biostudies-arrayexpress
Project description:Expression data from Ctla4-/- and DKO CD4+ Tconv cells
| PRJNA221219 | ENA
Project description:Regulatory T cells (Tregs) play a critical role in controlling autoimmunity and limiting tissue destruction and inflammation. IL2-inducible T cell kinase (Itk) belongs to the Tec family of tyrosine kinases and is an important component of TCR-mediated signaling. Here we showed that either genetic ablation of Itk signaling, or inhibition of Itk signaling pathways resulted in increased frequency of “noncanonical” CD4+CD25−FoxP3+ Tregs (ncTregs), as well as of “canonical” CD4+CD25+FoxP3+ Tregs (canTregs). Using in vivo models, we showed that ncTregs can prevent the development of acute graft-versus-host disease (GVHD), in part by reducing conventional T cell proliferation, proinflammatory cytokine production, and tissue damage. This reduction in GVHD occurred without disruption of graft-versus-leukemia (GVL) effects. RNA sequencing revealed that a number of effector, cell adhesion, and migration molecules were upregulated in Itk-/- ncTregs. Furthermore, disrupting the SLP76: ITK interaction using a specific peptide inhibitor led to enhanced Treg development in both mouse cells and primary human cells. This peptide inhibitor also significantly reduced inflammatory cytokine production in primary GVHD patient samples and mouse T cells without causing cell death or apoptosis. We provide evidence that specifically targeting Itk signaling could be a therapeutic strategy to treat autoimmune disorders
2021-10-19 | GSE185327 | GEO
Project description:Co-stimulatory 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 co-inhibitory signals might be integrated, we profiled 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, -BTLA or -CD80. Total CD4+ T cells were stimulated by anti-CD3 and either anti-CD28, -CTLA4, -ICOS, -PD1, -BTLA or -CD80 antibodies for 1, 4, 20 and 48 hrs and Tconv and Treg were separated by flowcytometry. The 1 and 4 hr lysates were pooled [the 'early' samples] before RNA purification and profiling, as were the 20 and 48 hr samples [the 'late' samples] (note; for Treg cells, only the 20 hr sample was used). RNA was amplified, labeled and hybridized to Mouse Gene 1.0 ST arrays with the data generation and quality control pipeline of 19 the Immunological Genome Project (www.immgen.org), in biological triplicates (duplicates only for ICOS and CD80). Raw data were background-corrected and normalized using the RMA algorithm.
2012-11-15 | E-GEOD-42276 | biostudies-arrayexpress
Project description:The circadian system regulates numerous physiological processes including the adaptive immune system. Here we show that mice deficient for the circadian genes Cry1 and Cry2, (DKO) display an autoimmune phenotype including higher serum IgG concentration, presence of serum anti-nuclear antibodies, precipitation of IgG, IgM and complement 3 in glomeruli, and massive infiltrations of leukocytes into the lung and kidney. Activation of Cry DKO splenic B cells elicited markedly enhanced and prolonged tyrosine phosphorylation of cellular proteins compared to cells from control mice, suggesting that over activation of the BCR signaling pathway may contribute to autoimmunity in the Cry DKO mice. Expression of C1q, deficiency of which contributes to the pathogenesis of Systemic lupus erythematosus (SLE), was significantly downregulated in Cry DKO B cells. This suggests that B cell development, BCR signaling pathway and C1q expression may be under direct circadian control and dysregulation of which contributes to autoimmunity.
2018-08-24 | GSE87467 | GEO
Project description:We analyzed gene expression profiles of unstimulated Herpesvirus Saimiri (HVS) transformed T cells (CD4+) of patients harboring a homozygous R335W mutation in the IL-2 inducible T cell kinase (ITK) compared to healthy control HVS cells. We identified a set of 1927 Affymetrix probe sets showing significant misregulation in the ITK deficient cells (Welch's T-test, p<0.05). HVS T cell lines (ITK wt or ITK R335W, each CD4+) from three independent culturing time points were used for RNA extraction and hybridization on Affymetrix microarrays.
2011-12-20 | E-GEOD-28200 | biostudies-arrayexpress
Project description:This is system 1, the model with linear antigen uptake by pAPCs, described in the article:
Self-tolerance and Autoimmunity in a Regulatory T Cell Model.
Alexander HK, Wahl LM.
Bull Math Biol. 2010 Mar 2.
PMID:20195912, doi:10.1007/s11538-010-9519-2;
Abstract:
The class of immunosuppressive lymphocytes known as regulatory T cells (Tregs) has been identified as a key component in preventing autoimmune diseases. Although Tregs have been incorporated previously in mathematical models of autoimmunity, we take a novel approach which emphasizes the importance of professional antigen presenting cells (pAPCs). We examine three possible mechanisms of Treg action (each in isolation) through ordinary differential equation (ODE) models. The immune response against a particular autoantigen is suppressed both by Tregs specific for that antigen and by Tregs of arbitrary specificities, through their action on either maturing or already mature pAPCs or on autoreactive effector T cells. In this deterministic approach, we find that qualitative long-term behaviour is predicted by the basic reproductive ratio R (0) for each system. When R (0) 1, this equilibrium loses its stability and a stable non-trivial equilibrium appears. We interpret the absence of self-damaging populations at the trivial equilibrium to imply a state of self-tolerance, and their presence at the non-trivial equilibrium to imply a state of chronic autoimmunity. Irrespective of mechanism, our model predicts that Tregs specific for the autoantigen in question play no role in the system's qualitative long-term behaviour, but have quantitative effects that could potentially reduce an autoimmune response to sub-clinical levels. Our results also suggest an important role for Tregs of arbitrary specificities in modulating the qualitative outcome. A stochastic treatment of the same model demonstrates that the probability of developing a chronic autoimmune response increases with the initial exposure to self antigen or autoreactive effector T cells. The three different mechanisms we consider, while leading to a number of similar predictions, also exhibit key differences in both transient dynamics (ODE approach) and the probability of chronic autoimmunity (stochastic approach).
Originally created by libAntimony v1.4 (using libSBML 3.4.1)
2024-09-02 | BIOMD0000000289 | BioModels
Project description:This is system 2, the model with Michelis Menten type antigen uptake by pAPCs, described in the article:
Self-tolerance and Autoimmunity in a Regulatory T Cell Model.
Alexander HK, Wahl LM. Bull Math Biol.
2010 Mar 2.
PMID: 20195912
, doi: 10.1007/s11538-010-9519-2
;
Abstract:
The class of immunosuppressive lymphocytes known as regulatory T cells (Tregs) has been identified as a key component in preventing autoimmune diseases. Although Tregs have been incorporated previously in mathematical models of autoimmunity, we take a novel approach which emphasizes the importance of professional antigen presenting cells (pAPCs). We examine three possible mechanisms of Treg action (each in isolation) through ordinary differential equation (ODE) models. The immune response against a particular autoantigen is suppressed both by Tregs specific for that antigen and by Tregs of arbitrary specificities, through their action on either maturing or already mature pAPCs or on autoreactive effector T cells. In this deterministic approach, we find that qualitative long-term behaviour is predicted by the basic reproductive ratio R (0) for each system. When R (0) 1, this equilibrium loses its stability and a stable non-trivial equilibrium appears. We interpret the absence of self-damaging populations at the trivial equilibrium to imply a state of self-tolerance, and their presence at the non-trivial equilibrium to imply a state of chronic autoimmunity. Irrespective of mechanism, our model predicts that Tregs specific for the autoantigen in question play no role in the system's qualitative long-term behaviour, but have quantitative effects that could potentially reduce an autoimmune response to sub-clinical levels. Our results also suggest an important role for Tregs of arbitrary specificities in modulating the qualitative outcome. A stochastic treatment of the same model demonstrates that the probability of developing a chronic autoimmune response increases with the initial exposure to self antigen or autoreactive effector T cells. The three different mechanisms we consider, while leading to a number of similar predictions, also exhibit key differences in both transient dynamics (ODE approach) and the probability of chronic autoimmunity (stochastic approach).
Originally created by libAntimony v1.4 (using libSBML 3.4.1)
2024-09-02 | BIOMD0000000290 | BioModels
Project description:The paper describes a model on the Dynamics of Immune Checkpoints, Immune System, and BCG in the Treatment of Superficial Bladder Cancer.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
Dynamics of Immune Checkpoints, Immune System, and BCG in the Treatment of Superficial Bladder Cancer
Farouk Tijjani Saad, Evren Hincal, and Bilgen Kaymakamzade
Computational and Mathematical Methods in Medicine, vol. 2017, no. 3573082
Abstract:
This paper aims to study the dynamics of immune suppressors/checkpoints, immune system, and BCG in the treatment of superficial bladder cancer. Programmed cell death protein-1 (PD-1), cytotoxic T-lymphocyte-associated antigen 4 (CTLA4), and transforming growth factor-beta (TGF-b) are some of the examples of immune suppressors/checkpoints. They are responsible for deactivating the immune system and enhancing immunological tolerance. Moreover, they categorically downregulate and suppress the immune system by preventing and blocking the activation of T-cells, which in turn decreases autoimmunity and enhances self- tolerance. In cancer immunotherapy, the immune checkpoints/suppressors prevent and block the immune cells from attacking, spreading, and killing the cancer cells, which leads to cancer growth and development. We formulate a mathematical model that studies three possible dynamics of the treatment and establish the effects of the immune checkpoints on the immune system and the treatment at large. Although the effect cannot be seen explicitly in the analysis of the model, we show it by numerical simulations.
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2024-09-02 | BIOMD0000000746 | BioModels