Literature DB >> 30007539

Combinatorial Targeting by MicroRNAs Co-ordinates Post-transcriptional Control of EMT.

Joseph Cursons1, Katherine A Pillman2, Kaitlin G Scheer3, Philip A Gregory2, Momeneh Foroutan4, Soroor Hediyeh-Zadeh5, John Toubia3, Edmund J Crampin6, Gregory J Goodall2, Cameron P Bracken7, Melissa J Davis8.   

Abstract

MicroRNAs (miRNAs) are important post-transcriptional regulators of gene expression, functioning in part by facilitating the degradation of target mRNAs. They have an established role in controlling epithelial-mesenchymal transition (EMT), a reversible phenotypic program underlying normal and pathological processes. Many studies demonstrate the role of individual miRNAs using overexpression at levels greatly exceeding physiological abundance. This can influence transcripts with relatively poor targeting and may in part explain why over 130 different miRNAs are directly implicated as EMT regulators. Analyzing a human mammary cell model of EMT we found evidence that a set of miRNAs, including the miR-200 and miR-182/183 family members, co-operate in post-transcriptional regulation, both reinforcing and buffering transcriptional output. Investigating this, we demonstrate that combinatorial treatment altered cellular phenotype with miRNA concentrations much closer to endogenous levels and with less off-target effects. This suggests that co-operative targeting by miRNAs is important for their physiological function and future work classifying miRNAs should consider such combinatorial effects.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  epithelial-mesenchymal transition; exon-intron split analysis; microRNA; post-transcriptional regulation; transforming growth factor β

Mesh:

Substances:

Year:  2018        PMID: 30007539     DOI: 10.1016/j.cels.2018.05.019

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  32 in total

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Authors:  Xi Tang; Gang Tu; Guanglun Yang; Xing Wang; Linmin Kang; Liping Yang; Huan Zeng; Xueying Wan; Yina Qiao; Xiaojiang Cui; Manran Liu; Yixuan Hou
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2.  Testing the gene expression classification of the EMT spectrum.

Authors:  Dongya Jia; Jason T George; Satyendra C Tripathi; Deepali L Kundnani; Mingyang Lu; Samir M Hanash; José N Onuchic; Mohit Kumar Jolly; Herbert Levine
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Journal:  Nucleic Acids Res       Date:  2021-06-04       Impact factor: 16.971

4.  A regulatory network of microRNAs confers lineage commitment during early developmental trajectories of B and T lymphocytes.

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Authors:  Benjamin Nordick; Polly Y Yu; Guangyuan Liao; Tian Hong
Journal:  Nucleic Acids Res       Date:  2022-04-22       Impact factor: 19.160

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Journal:  J Clin Invest       Date:  2021-06-15       Impact factor: 14.808

Review 8.  RNA in cancer.

Authors:  Gregory J Goodall; Vihandha O Wickramasinghe
Journal:  Nat Rev Cancer       Date:  2020-10-20       Impact factor: 60.716

9.  Metastasis Inhibition by Cell Type Specific Expression of BRMS1 Gene under The Regulation of miR200 Family Response Elements.

Authors:  Samila Farokhimanesh; Mahdi Forouzandeh Moghadam; Marzieh Ebrahimi; Zahra Sadat Hashemi
Journal:  Cell J       Date:  2021-05-26       Impact factor: 2.479

10.  miRactDB characterizes miRNA-gene relation switch between normal and cancer tissues across pan-cancer.

Authors:  Hua Tan; Pora Kim; Peiqing Sun; Xiaobo Zhou
Journal:  Brief Bioinform       Date:  2021-05-20       Impact factor: 11.622

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