Literature DB >> 31913665

The Physics of Cellular Decision Making During Epithelial-Mesenchymal Transition.

Shubham Tripathi1,2,3, Herbert Levine2,3, Mohit Kumar Jolly4.   

Abstract

The epithelial-mesenchymal transition (EMT) is a process by which cells lose epithelial traits, such as cell-cell adhesion and apico-basal polarity, and acquire migratory and invasive traits. EMT is crucial to embryonic development and wound healing. Misregulated EMT has been implicated in processes associated with cancer aggressiveness, including metastasis. Recent experimental advances such as single-cell analysis and temporal phenotypic characterization have established that EMT is a multistable process wherein cells exhibit and switch among multiple phenotypic states. This is in contrast to the classical perception of EMT as leading to a binary choice. Mathematical modeling has been at the forefront of this transformation for the field, not only providing a conceptual framework to integrate and analyze experimental data, but also making testable predictions. In this article, we review the key features and characteristics of EMT dynamics, with a focus on the mathematical modeling approaches that have been instrumental to obtaining various useful insights.

Entities:  

Keywords:  EMT dynamics; cancer heterogeneity; cancer systems biology; phenotypic plasticity

Mesh:

Year:  2020        PMID: 31913665     DOI: 10.1146/annurev-biophys-121219-081557

Source DB:  PubMed          Journal:  Annu Rev Biophys        ISSN: 1936-122X            Impact factor:   12.981


  23 in total

1.  Suspension state regulates epithelial-to-mesenchymal transition and stemness of breast tumor cells.

Authors:  Yonggang Lv; Xiaomei Zhang; Lini Chen
Journal:  Biotechnol Lett       Date:  2021-01-02       Impact factor: 2.461

2.  Landscape and kinetic path quantify critical transitions in epithelial-mesenchymal transition.

Authors:  Jintong Lang; Qing Nie; Chunhe Li
Journal:  Biophys J       Date:  2021-09-02       Impact factor: 3.699

3.  Programmatic modeling for biological systems.

Authors:  Alexander L R Lubbock; Carlos F Lopez
Journal:  Curr Opin Syst Biol       Date:  2021-05-24

4.  Inferring structural and dynamical properties of gene networks from data with deep learning.

Authors:  Feng Chen; Chunhe Li
Journal:  NAR Genom Bioinform       Date:  2022-09-13

5.  SLC6A14 Depletion Contributes to Amino Acid Starvation to Suppress EMT-Induced Metastasis in Gastric Cancer by Perturbing the PI3K/AKT/mTORC1 Pathway.

Authors:  Qie Guo; Wen Xu; Xiao Li; Jia-Lin Sun; Xiao-Ce Gu; Fan-Bo Jing
Journal:  Biomed Res Int       Date:  2022-07-12       Impact factor: 3.246

Review 6.  Drivers of dynamic intratumor heterogeneity and phenotypic plasticity.

Authors:  Antara Biswas; Subhajyoti De
Journal:  Am J Physiol Cell Physiol       Date:  2021-03-03       Impact factor: 4.249

7.  Microswimmers learning chemotaxis with genetic algorithms.

Authors:  Benedikt Hartl; Maximilian Hübl; Gerhard Kahl; Andreas Zöttl
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-11       Impact factor: 11.205

Review 8.  Towards decoding the coupled decision-making of metabolism and epithelial-to-mesenchymal transition in cancer.

Authors:  Dongya Jia; Jun Hyoung Park; Harsimran Kaur; Kwang Hwa Jung; Sukjin Yang; Shubham Tripathi; Madeline Galbraith; Youyuan Deng; Mohit Kumar Jolly; Benny Abraham Kaipparettu; José N Onuchic; Herbert Levine
Journal:  Br J Cancer       Date:  2021-04-15       Impact factor: 9.075

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

Authors:  Atchuta Srinivas Duddu; Sauma Suvra Majumdar; Sarthak Sahoo; Siddharth Jhunjhunwala; Mohit Kumar Jolly
Journal:  Mol Biol Cell       Date:  2022-03-30       Impact factor: 3.612

10.  STIM1, STIM2, and PDI Participate in Cellular Fate Decisions in Low Energy Availability Induced by 3-NP in Male Rats.

Authors:  Nazila Iranipour; Farrin Babaei-Balderlou; Ali Maleki; Mehdi Moslemi; Fariba Khodagholi
Journal:  Neurotox Res       Date:  2021-06-26       Impact factor: 3.911

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