Human microRNAs co-silence in well-separated groups and have different predicted essentialities

Bioinformatics
Gábor BorossIllés J Farkas

Abstract

Short regulating RNAs guide many cellular processes. Compared with transcription factor proteins they appear to provide more specialized control and their deletions are less frequently lethal. We find large differences between computationally predicted lists of human microRNA (miRNA)-target pairs. Instead of integrating these lists we use the two most accurate of them. Next, we construct the co-regulation network of human miRNAs as nodes by computing the correlation (link weight) between the gene silencing scores of individual miRNAs. In this network, we locate groups of tightly co-regulating nodes (modules). Despite explicitly allowing overlaps the co-regulation modules of miRNAs are well separated. We use the modules and miRNA co-expression data to define and compute miRNA essentiality. Instead of focusing on particular biological functions we identify a miRNA as essential, if it has a low co-expression with the miRNAs in its module. This may be thought of as having many workers performing the same tasks together in one place (non-essential miRNAs) as opposed to a single worker performing those tasks alone (essential miRNA). On the system level, we quantitatively confirm previous findings about the specialized control provide...Continue Reading

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Jun 11, 2010·BMC Systems Biology·Qinghua JiangYadong Wang
Mar 15, 2012·BMC Systems Biology·Chen-Ching LinHsuan-Cheng Huang
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Apr 13, 2018·American Journal of Physiology. Lung Cellular and Molecular Physiology·Tianji ChenGuofei Zhou
Dec 29, 2019·BMC Bioinformatics·Junpeng ZhangThuc Duy Le

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