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Transcriptomic-based quantification of the epithelial-hybrid-mesenchymal spectrum across biological contexts

Citation

Mandal, S and Tejaswi, T and Janivara, R and Srikrishnan, S and Thakur, P and Sahoo, S and Chakraborty, P and Sohal, SS and Levine, H and George, JT and Jolly, MK, Transcriptomic-based quantification of the epithelial-hybrid-mesenchymal spectrum across biological contexts, Biomolecules, 12, (1) Article 29. ISSN 2218-273X (2022) [Refereed Article]


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Copyright Statement

Copyright: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/).

DOI: doi:10.3390/biom12010029

Abstract

Epithelial-mesenchymal plasticity (EMP) underlies embryonic development, wound healing, and cancer metastasis and fibrosis. Cancer cells exhibiting EMP often have more aggressive behavior, characterized by drug resistance, and tumor-initiating and immuno-evasive traits. Thus, the EMP status of cancer cells can be a critical indicator of patient prognosis. Here, we compare three distinct transcriptomic-based metrics - each derived using a different gene list and algorithms that quantify the EMP spectrum. Our results for over 80 cancer-related RNA-seq datasets reveal a high degree of concordance among these metrics in quantifying the extent of EMP. Moreover, each metric, despite being trained on cancer expression profiles, recapitulates the expected changes in EMP scores for non-cancer contexts such as lung fibrosis and cellular reprogramming into induced pluripotent stem cells. Thus, we offer a scoring platform to quantify the extent of EMP in vitro and in vivo for diverse biological applications including cancer.

Item Details

Item Type:Refereed Article
Keywords:COPD, IPF, EMT, fibrosis, transcriptomics, EMT scoring, hybrid epithelial/mesenchymal, single-cell RNA-seq, cellular reprogramming
Research Division:Biomedical and Clinical Sciences
Research Group:Cardiovascular medicine and haematology
Research Field:Respiratory diseases
Objective Division:Health
Objective Group:Clinical health
Objective Field:Diagnosis of human diseases and conditions
UTAS Author:Sohal, SS (Dr Sukhwinder Sohal)
ID Code:148415
Year Published:2022
Web of Science® Times Cited:1
Deposited By:Health Sciences
Deposited On:2022-01-10
Last Modified:2022-02-25
Downloads:3 View Download Statistics

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