ArticleBMC evolutionary biology2014
An evolutionarily biased distribution of miRNA sites toward regulatory genes with high promoter-driven intrinsic transcriptional noise.
Article in BMC evolutionary biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Transcriptional and post-transcriptional control of epithelial-mesenchymal plasticity: why so many regulators?Cellular and molecular life sciences : CMLS · 2022Review
- Article
- MiR-130a-3p Alleviates Liver Fibrosis by Suppressing HSCs Activation and Skewing Macrophage to Ly6CFrontiers in immunology · 2021Article
- Uncovering the cellular capacity for intensive and specific feedback self-control of the argonautes and MicroRNA targeting activity.Nucleic acids research · 2020Article
- microRNA-mediated noise processing in cells: A fight or a game?Computational and structural biotechnology journal · 2020Review
- 6mer seed toxicity in tumor suppressive microRNAs.Nature communications · 2018Article
- Control of seminal fluid protein expression via regulatory hubs inProceedings. Biological sciences · 2018Article
- Effects of Icariin on Atherosclerosis and Predicted Function Regulatory Network in ApoE Deficient Mice.BioMed research international · 2018Article
- DISE: A Seed-Dependent RNAi Off-Target Effect That Kills Cancer Cells.Trends in cancer · 2018Review
- Many si/shRNAs can kill cancer cells by targeting multiple survival genes through an off-target mechanism.eLife · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundmiRNAs are a major class of regulators of gene expression in metazoans. By targeting cognate mRNAs, miRNAs are involved in regulating most, if not all, biological processes in different cell and tissue types. To better understand how this regulatory potential is allocated among different target gene sets, we carried out a detailed and systematic analysis of miRNA target sites distribution in the mouse genome.
resultsWe used predicted conserved and non-conserved sites for 779 miRNAs in 3' UTR of 18440 genes downloaded from TargetScan website. Our analysis reveals that 3' UTRs of genes encoding regulatory proteins harbor significantly greater number of miRNA sites than those of non-regulatory, housekeeping and structural, genes. Analysis of miRNA sites for orthologous 3'UTR's in 10 other species indicates that the regulatory genes were maintaining or accruing miRNA sites while non-regulatory genes gradually shed them in the course of evolution. Furthermore, we observed that 3' UTR of genes with higher gene expression variability driven by their promoter sequence content are targeted by many more distinct miRNAs compared to genes with low transcriptional noise.
conclusionsBased on our results we envision a model, which we dubbed "selective inclusion", whereby non-regulatory genes with low transcription noise and stable expression profile lost their sites, while regulatory genes which endure higher transcription noise retained and gained new sites. This adaptation is consistent with the requirements that regulatory genes need to be tightly controlled in order to have precise and optimum protein level to properly function.
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