Literature DB >> 23377980

Working together: combinatorial regulation by microRNAs.

Yitzhak Friedman1, Ohad Balaga, Michal Linial.   

Abstract

MicroRNAs (miRNAs) negatively regulate gene expression level of mRNA post-transcriptionally. Deep sequencing and large-scale screening methods have yielded about 1,500 miRNA sequences in human. Each miRNA contains a seed sequence that is required, but not sufficient, for the correct matching with its targets. Recent technological advances make it possible to capture the miRNAs with their cognate mRNAs at the RISC complex. These experiments have revealed thousands of validated mRNA-miRNA pairing events. In the context of human stem cells, 90% of the identified transcripts appear to be paired with at least two different miRNAs.In this chapter, we present a comprehensive outline for a combinatorial regulation mode by miRNAs. Initially, we summarize the computational and experimental evidence that support a combined effect of multiple miRNAs. Then, we describe miRror2.0, a platform specifically convened to consider the likelihood of miRNAs cooperativity in view of the targets, tissues and cell lines. We show that results from miRror2.0 can be further refined by an iterative procedure, calls Psi-miRror that gauges the robustness of the regulation. We illustrate the combinatorial regulation projected onto graphs of human pathways and show that these pathways are amenable to disruption by a small set of miRNAs. Finally, we propose that miRNA combinatorial regulation is an attractive regulatory strategy not only at the level of single target, but also at the level of pathways and cellular homeostasis. The joint operation of miRNAs is a powerful means to overcome the low specificity inherent in each individual miRNA.

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Year:  2013        PMID: 23377980     DOI: 10.1007/978-94-007-5590-1_16

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  12 in total

1.  microRNA-31 modulates skeletal patterning in the sea urchin embryo.

Authors:  Nadezda A Stepicheva; Jia L Song
Journal:  Development       Date:  2015-09-23       Impact factor: 6.868

Review 2.  MicroRNAs as tools to predict glucocorticoid response in inflammatory bowel diseases.

Authors:  Sara De Iudicibus; Marianna Lucafò; Stefano Martelossi; Chiara Pierobon; Alessandro Ventura; Giuliana Decorti
Journal:  World J Gastroenterol       Date:  2013-11-28       Impact factor: 5.742

Review 3.  Advances in therapeutic development for spinal muscular atrophy.

Authors:  Matthew D Howell; Natalia N Singh; Ravindra N Singh
Journal:  Future Med Chem       Date:  2014-06       Impact factor: 3.808

Review 4.  MicroRNAs in myocardial ischemia: identifying new targets and tools for treating heart disease. New frontiers for miR-medicine.

Authors:  V Sala; S Bergerone; S Gatti; S Gallo; A Ponzetto; C Ponzetto; T Crepaldi
Journal:  Cell Mol Life Sci       Date:  2013-11-12       Impact factor: 9.261

5.  Non-inhibited miRNAs shape the cellular response to anti-miR.

Authors:  John R Androsavich; B Nelson Chau
Journal:  Nucleic Acids Res       Date:  2014-05-07       Impact factor: 16.971

6.  Cooperative gene regulation by microRNA pairs and their identification using a computational workflow.

Authors:  Ulf Schmitz; Xin Lai; Felix Winter; Olaf Wolkenhauer; Julio Vera; Shailendra K Gupta
Journal:  Nucleic Acids Res       Date:  2014-05-29       Impact factor: 16.971

7.  C2Analyzer: Co-target-co-function analyzer.

Authors:  Md Aftabuddin; Chittabrata Mal; Arindam Deb; Sudip Kundu
Journal:  Genomics Proteomics Bioinformatics       Date:  2014-05-24       Impact factor: 7.691

8.  Regulation of proinflammatory genes by the circulating microRNA hsa-miR-939.

Authors:  Marguerite K McDonald; Sujay Ramanathan; Andrew Touati; Yiqian Zhou; Rushi U Thanawala; Guillermo M Alexander; Ahmet Sacan; Seena K Ajit
Journal:  Sci Rep       Date:  2016-08-08       Impact factor: 4.379

9.  Integrating mRNA and miRNA Weighted Gene Co-Expression Networks with eQTLs in the Nucleus Accumbens of Subjects with Alcohol Dependence.

Authors:  Mohammed Mamdani; Vernell Williamson; Gowon O McMichael; Tana Blevins; Fazil Aliev; Amy Adkins; Laura Hack; Tim Bigdeli; Andrew D van der Vaart; Bradley Todd Web; Silviu-Alin Bacanu; Gursharan Kalsi; Kenneth S Kendler; Michael F Miles; Danielle Dick; Brien P Riley; Catherine Dumur; Vladimir I Vladimirov
Journal:  PLoS One       Date:  2015-09-18       Impact factor: 3.240

Review 10.  Short linear motifs - ex nihilo evolution of protein regulation.

Authors:  Norman E Davey; Martha S Cyert; Alan M Moses
Journal:  Cell Commun Signal       Date:  2015-11-21       Impact factor: 5.712

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