A Mechanistic Computational Model Reveals That Plasticity of CD4+ T Cell Differentiation Is a Function of Cytokine Composition and Dosage-Reference-Cited by-同舟云学术

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A Mechanistic Computational Model Reveals That Plasticity of CD4+ T Cell Differentiation Is a Function of Cytokine Composition and Dosage

Published:2018-08-02 Issue: Volume:9 Page:
ISSN:1664-042X
Container-title:Frontiers in Physiology
language:
Short-container-title:Front. Physiol.

Author:

Puniya Bhanwar Lal,Todd Robert G.,Mohammed Akram,Brown Deborah M.,Barberis Matteo,Helikar Tomáš

Funder

National Institutes of Health

Universiteit van Amsterdam

Publisher

Frontiers Media SA

Subject

Physiology (medical),Physiology

Reference98 articles.

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2. Logical modeling and dynamical analysis of cellular networks.;Abou-Jaoudé;Front. Genet.,2016

3. Interleukin-23 promotes a distinct CD4 T cell activation state characterized by the production of interleukin-17.;Aggarwal;J. Biol. Chem.,2003

4. Induction of T helper type 2 immunity by a point mutation in the LAT adaptor.;Aguado;Science,2002

5. Boolean modeling: a logic-based dynamic approach for understanding signaling and regulatory networks and for making useful predictions.;Albert;Wiley Interdiscip. Rev. Syst. Biol. Med.,2014

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