Emergent dynamics of a three-node regulatory network explain phenotypic switching and heterogeneity: a case study of Th1/Th2/Th17 cell differentiation-Reference-Cited by-同舟云学术

Emergent dynamics of a three-node regulatory network explain phenotypic switching and heterogeneity: a case study of Th1/Th2/Th17 cell differentiation

Published:2022-05-15 Issue:6 Volume:33 Page:
ISSN:1059-1524
Container-title:Molecular Biology of the Cell
language:en
Short-container-title:MBoC

Author:

Duddu Atchuta Srinivas¹,Majumdar Sauma Suvra²,Sahoo Sarthak¹,Jhunjhunwala Siddharth¹,Jolly Mohit Kumar¹

Affiliation:

1. Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore 560012, India

2. Department of Biotechnology, National Institute of Technology, Durgapur 713216, India

Abstract

A mechanistic mathematical model investigates the coupled transcription-epigenetic dynamics to elucidate transition rates among phenotypes during helper T-cell differentiation as a function of mutual repression among the three master regulators.

Publisher

American Society for Cell Biology (ASCB)

Subject

Cell Biology,Molecular Biology

Reference91 articles.

1. An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation

2. Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1

3. Cell population structure prior to bifurcation predicts efficiency of directed differentiation in human induced pluripotent cells

4. Targeted removal of epigenetic barriers during transcriptional reprogramming

5. Functional heterogeneity of human memory CD4 + T cell clones primed by pathogens or vaccines

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