Literature DB >> 26762753

Modeling continuum of epithelial mesenchymal transition plasticity.

Mousumi Mandal1, Biswajoy Ghosh, Anji Anura, Pabitra Mitra, Tanmaya Pathak, Jyotirmoy Chatterjee.   

Abstract

Living systems respond to ambient pathophysiological changes by altering their phenotype, a phenomenon called 'phenotypic plasticity'. This program contains information about adaptive biological dynamism. Epithelial-mesenchymal transition (EMT) is one such process found to be crucial in development, wound healing, and cancer wherein the epithelial cells with restricted migratory potential develop motile functions by acquiring mesenchymal characteristics. In the present study, phase contrast microscopy images of EMT induced HaCaT cells were acquired at 24 h intervals for 96 h. The expression study of relevant pivotal molecules viz. F-actin, vimentin, fibronectin and N-cadherin was carried out to confirm the EMT process. Cells were intuitively categorized into five distinct morphological phenotypes. A population of 500 cells for each temporal point was selected to quantify their frequency of occurrence. The plastic interplay of cell phenotypes from the observations was described as a Markovian process. A model was formulated empirically using simple linear algebra, to depict the possible mechanisms of cellular transformation among the five phenotypes. This work employed qualitative, semi-quantitative and quantitative tools towards illustration and establishment of the EMT continuum. Thus, it provides a newer perspective to understand the embedded plasticity across the EMT spectrum.

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Year:  2016        PMID: 26762753     DOI: 10.1039/c5ib00219b

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  16 in total

1.  FGF and canonical Wnt signaling cooperate to induce paraxial mesoderm from tailbud neuromesodermal progenitors through regulation of a two-step epithelial to mesenchymal transition.

Authors:  Hana Goto; Samuel C Kimmey; Richard H Row; David Q Matus; Benjamin L Martin
Journal:  Development       Date:  2017-02-27       Impact factor: 6.868

Review 2.  Reconstructing data-driven governing equations for cell phenotypic transitions: integration of data science and systems biology.

Authors:  Jianhua Xing
Journal:  Phys Biol       Date:  2022-09-09       Impact factor: 2.959

3.  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 4.  Investigating epithelial-to-mesenchymal transition with integrated computational and experimental approaches.

Authors:  Jianhua Xing; Xiao-Jun Tian
Journal:  Phys Biol       Date:  2019-03-07       Impact factor: 2.583

5.  Immunofluorescence Image Feature Analysis and Phenotype Scoring Pipeline for Distinguishing Epithelial-Mesenchymal Transition.

Authors:  Shreyas U Hirway; Nadiah T Hassan; Michael Sofroniou; Christopher A Lemmon; Seth H Weinberg
Journal:  Microsc Microanal       Date:  2021-08       Impact factor: 4.127

Review 6.  Epithelial/mesenchymal plasticity: how have quantitative mathematical models helped improve our understanding?

Authors:  Mohit Kumar Jolly; Satyendra C Tripathi; Jason A Somarelli; Samir M Hanash; Herbert Levine
Journal:  Mol Oncol       Date:  2017-06-19       Impact factor: 6.603

Review 7.  The Many-Faced Program of Epithelial-Mesenchymal Transition: A System Biology-Based View.

Authors:  De Domenico Stefania; Daniele Vergara
Journal:  Front Oncol       Date:  2017-11-13       Impact factor: 6.244

8.  Analysis of immune subtypes across the epithelial-mesenchymal plasticity spectrum.

Authors:  Priyanka Chakraborty; Emily L Chen; Isabelle McMullen; Andrew J Armstrong; Mohit Kumar Jolly; Jason A Somarelli
Journal:  Comput Struct Biotechnol J       Date:  2021-06-17       Impact factor: 7.271

9.  3D collagen fibrillar microstructure guides pancreatic cancer cell phenotype and serves as a critical design parameter for phenotypic models of EMT.

Authors:  T J Puls; Xiaohong Tan; Catherine F Whittington; Sherry L Voytik-Harbin
Journal:  PLoS One       Date:  2017-11-30       Impact factor: 3.240

Review 10.  The Ever-Evolving Concept of the Cancer Stem Cell in Pancreatic Cancer.

Authors:  Sandra Valle; Laura Martin-Hijano; Sonia Alcalá; Marta Alonso-Nocelo; Bruno Sainz
Journal:  Cancers (Basel)       Date:  2018-01-26       Impact factor: 6.639

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