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Comprehensive Analysis of Human microRNA–mRNA Interactome

MicroRNAs play a key role in the regulation of gene expression. A majority of microRNA–mRNA interactions remain unidentified. Despite extensive research, our ability to predict human microRNA-mRNA interactions using computational algorithms remains limited by a complexity of the models for non-canon...

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Autores principales: Plotnikova, Olga, Baranova, Ancha, Skoblov, Mikhail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792129/
https://www.ncbi.nlm.nih.gov/pubmed/31649721
http://dx.doi.org/10.3389/fgene.2019.00933
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author Plotnikova, Olga
Baranova, Ancha
Skoblov, Mikhail
author_facet Plotnikova, Olga
Baranova, Ancha
Skoblov, Mikhail
author_sort Plotnikova, Olga
collection PubMed
description MicroRNAs play a key role in the regulation of gene expression. A majority of microRNA–mRNA interactions remain unidentified. Despite extensive research, our ability to predict human microRNA-mRNA interactions using computational algorithms remains limited by a complexity of the models for non-canonical interactions, and an abundance of false-positive results. Here, we present the landscape of human microRNA–mRNA interactions derived from comprehensive analysis of HEK293 and Huh7.5 datasets, along with publicly available microRNA and mRNA expression data. We show that, while only 1–2% of human genes were the most regulated by microRNAs, few cell line–specific RNAs, including EEF1A1 and HSPA1B in HEK293 and AFP, APOB, and MALAT1 genes in Huh7.5, display substantial “sponge-like” properties. We revealed a group of microRNAs that are expressed at a very high level, while interacting with only a few mRNAs, which, indeed, serve as their specific expression regulators. In order to establish reliable microRNA-binding regions, we collected and systematically analyzed the data from 79 CLIP datasets of microRNA-binding sites. We report 46,805 experimentally confirmed mRNA–miRNA duplex regions. Resulting dataset is available at http://score.generesearch.ru/services/mirna/. Our study provides initial insight into the complexity of human microRNA–mRNA interactions.
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spelling pubmed-67921292019-10-24 Comprehensive Analysis of Human microRNA–mRNA Interactome Plotnikova, Olga Baranova, Ancha Skoblov, Mikhail Front Genet Genetics MicroRNAs play a key role in the regulation of gene expression. A majority of microRNA–mRNA interactions remain unidentified. Despite extensive research, our ability to predict human microRNA-mRNA interactions using computational algorithms remains limited by a complexity of the models for non-canonical interactions, and an abundance of false-positive results. Here, we present the landscape of human microRNA–mRNA interactions derived from comprehensive analysis of HEK293 and Huh7.5 datasets, along with publicly available microRNA and mRNA expression data. We show that, while only 1–2% of human genes were the most regulated by microRNAs, few cell line–specific RNAs, including EEF1A1 and HSPA1B in HEK293 and AFP, APOB, and MALAT1 genes in Huh7.5, display substantial “sponge-like” properties. We revealed a group of microRNAs that are expressed at a very high level, while interacting with only a few mRNAs, which, indeed, serve as their specific expression regulators. In order to establish reliable microRNA-binding regions, we collected and systematically analyzed the data from 79 CLIP datasets of microRNA-binding sites. We report 46,805 experimentally confirmed mRNA–miRNA duplex regions. Resulting dataset is available at http://score.generesearch.ru/services/mirna/. Our study provides initial insight into the complexity of human microRNA–mRNA interactions. Frontiers Media S.A. 2019-10-08 /pmc/articles/PMC6792129/ /pubmed/31649721 http://dx.doi.org/10.3389/fgene.2019.00933 Text en Copyright © 2019 Plotnikova, Baranova and Skoblov http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Plotnikova, Olga
Baranova, Ancha
Skoblov, Mikhail
Comprehensive Analysis of Human microRNA–mRNA Interactome
title Comprehensive Analysis of Human microRNA–mRNA Interactome
title_full Comprehensive Analysis of Human microRNA–mRNA Interactome
title_fullStr Comprehensive Analysis of Human microRNA–mRNA Interactome
title_full_unstemmed Comprehensive Analysis of Human microRNA–mRNA Interactome
title_short Comprehensive Analysis of Human microRNA–mRNA Interactome
title_sort comprehensive analysis of human microrna–mrna interactome
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792129/
https://www.ncbi.nlm.nih.gov/pubmed/31649721
http://dx.doi.org/10.3389/fgene.2019.00933
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