Dataset Information

CD4+ T cell Differentiation

ABSTRACT: The model includes 38 components and 96 biochemical interactions that regulate the differentiation process of major T cell subtypes, i.e., Th1, Th2, Th17 and iTreg cells. Individual components of the model represent lineage-specifying transcription factors (Tbet, GATA3, RORt, and Foxp3), STAT proteins, cytokines, their receptors, and other signaling molecules. The extracellular environment is represented in the model by eight cytokines and a (generic) TCR ligand known to play a role in T cell differentiation. PMID: 22871178

SUBMITTER: Bhanwar Lal Puniya

PROVIDER: 6678 | Cell Collective |

REPOSITORIES: Cell Collective

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The Cell Collective: toward an open and collaborative approach to systems biology.

Helikar Tomáš T Kowal Bryan B McClenathan Sean S Bruckner Mitchell M Rowley Thaine T Madrahimov Alex A Wicks Ben B Shrestha Manish M Limbu Kahani K Rogers Jim A JA

BMC systems biology 20120807

<h4>Background</h4>Despite decades of new discoveries in biomedical research, the overwhelming complexity of cells has been a significant barrier to a fundamental understanding of how cells work as a whole. As such, the holistic study of biochemical pathways requires computer modeling. Due to the complexity of cells, it is not feasible for one person or group to model the cell in its entirety.<h4>Results</h4>The Cell Collective is a platform that allows the world-wide scientific community to cre ...[more]

PMID: 22871178

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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.

Dataset Information

CD4+ T cell Differentiation

Publications

The Cell Collective: toward an open and collaborative approach to systems biology.

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