Literature DB >> 32939734

Mathematical Modeling of Plasticity and Heterogeneity in EMT.

Shubham Tripathi1,2, Jianhua Xing3, Herbert Levine4,5, Mohit Kumar Jolly6.   

Abstract

The epithelial-mesenchymal transition (EMT) and the corresponding reverse process, mesenchymal-epithelial transition (MET), are dynamic and reversible cellular programs orchestrated by many changes at both biochemical and morphological levels. A recent surge in identifying the molecular mechanisms underlying EMT/MET has led to the development of various mathematical models that have contributed to our improved understanding of dynamics at single-cell and population levels: (a) multi-stability-how many phenotypes can cells attain during an EMT/MET?, (b) reversibility/irreversibility-what time and/or concentration of an EMT inducer marks the "tipping point" when cells induced to undergo EMT cannot revert?, (c) symmetry in EMT/MET-do cells take the same path when reverting as they took during the induction of EMT?, and (d) non-cell autonomous mechanisms-how does a cell undergoing EMT alter the tendency of its neighbors to undergo EMT? These dynamical traits may facilitate a heterogenous response within a cell population undergoing EMT/MET. Here, we present a few examples of designing different mathematical models that can contribute to decoding EMT/MET dynamics.

Entities:  

Keywords:  Epithelial-mesenchymal heterogeneity; Epithelial-mesenchymal plasticity; Mathematical modeling; Multi-stability; Nongenetic heterogeneity

Mesh:

Year:  2021        PMID: 32939734      PMCID: PMC8178376          DOI: 10.1007/978-1-0716-0779-4_28

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  86 in total

1.  Non-genetic heterogeneity from stochastic partitioning at cell division.

Authors:  Dann Huh; Johan Paulsson
Journal:  Nat Genet       Date:  2010-12-26       Impact factor: 38.330

2.  Jagged-Delta asymmetry in Notch signaling can give rise to a Sender/Receiver hybrid phenotype.

Authors:  Marcelo Boareto; Mohit Kumar Jolly; Mingyang Lu; José N Onuchic; Cecilia Clementi; Eshel Ben-Jacob
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-20       Impact factor: 11.205

Review 3.  Spatial Heterogeneity in the Tumor Microenvironment.

Authors:  Yinyin Yuan
Journal:  Cold Spring Harb Perspect Med       Date:  2016-08-01       Impact factor: 6.915

4.  Network modeling of TGFβ signaling in hepatocellular carcinoma epithelial-to-mesenchymal transition reveals joint sonic hedgehog and Wnt pathway activation.

Authors:  Steven Nathaniel Steinway; Jorge G T Zañudo; Wei Ding; Carl Bart Rountree; David J Feith; Thomas P Loughran; Reka Albert
Journal:  Cancer Res       Date:  2014-09-04       Impact factor: 12.701

5.  The epithelial-mesenchymal transition generates cells with properties of stem cells.

Authors:  Sendurai A Mani; Wenjun Guo; Mai-Jing Liao; Elinor Ng Eaton; Ayyakkannu Ayyanan; Alicia Y Zhou; Mary Brooks; Ferenc Reinhard; Cheng Cheng Zhang; Michail Shipitsin; Lauren L Campbell; Kornelia Polyak; Cathrin Brisken; Jing Yang; Robert A Weinberg
Journal:  Cell       Date:  2008-05-16       Impact factor: 41.582

6.  Coupled reversible and irreversible bistable switches underlying TGFβ-induced epithelial to mesenchymal transition.

Authors:  Xiao-Jun Tian; Hang Zhang; Jianhua Xing
Journal:  Biophys J       Date:  2013-08-20       Impact factor: 4.033

7.  Network topologies and dynamics leading to endotoxin tolerance and priming in innate immune cells.

Authors:  Yan Fu; Trevor Glaros; Meng Zhu; Ping Wang; Zhanghan Wu; John J Tyson; Liwu Li; Jianhua Xing
Journal:  PLoS Comput Biol       Date:  2012-05-17       Impact factor: 4.475

8.  Dynamic equilibrium between cancer stem cells and non-stem cancer cells in human SW620 and MCF-7 cancer cell populations.

Authors:  G Yang; Y Quan; W Wang; Q Fu; J Wu; T Mei; J Li; Y Tang; C Luo; Q Ouyang; S Chen; L Wu; T K Hei; Y Wang
Journal:  Br J Cancer       Date:  2012-04-24       Impact factor: 7.640

9.  Interrogating the topological robustness of gene regulatory circuits by randomization.

Authors:  Bin Huang; Mingyang Lu; Dongya Jia; Eshel Ben-Jacob; Herbert Levine; Jose N Onuchic
Journal:  PLoS Comput Biol       Date:  2017-03-31       Impact factor: 4.475

10.  Interconnected feedback loops among ESRP1, HAS2, and CD44 regulate epithelial-mesenchymal plasticity in cancer.

Authors:  Mohit Kumar Jolly; Bogdan-Tiberius Preca; Satyendra C Tripathi; Dongya Jia; Jason T George; Samir M Hanash; Thomas Brabletz; Marc P Stemmler; Jochen Maurer; Herbert Levine
Journal:  APL Bioeng       Date:  2018-08-22
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  3 in total

Review 1.  The Role of Endothelial-to-Mesenchymal Transition in Cardiovascular Disease.

Authors:  Qianman Peng; Dan Shan; Kui Cui; Kathryn Li; Bo Zhu; Hao Wu; Beibei Wang; Scott Wong; Vikram Norton; Yunzhou Dong; Yao Wei Lu; Changcheng Zhou; Hong Chen
Journal:  Cells       Date:  2022-06-03       Impact factor: 7.666

2.  Volumetric compression develops noise-driven single-cell heterogeneity.

Authors:  Xing Zhao; Jiliang Hu; Yiwei Li; Ming Guo
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-21       Impact factor: 12.779

Review 3.  Transcriptional and post-transcriptional control of epithelial-mesenchymal plasticity: why so many regulators?

Authors:  Melodie Migault; Sunil Sapkota; Cameron P Bracken
Journal:  Cell Mol Life Sci       Date:  2022-03-12       Impact factor: 9.207

  3 in total

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