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Dissecting the regulation rules of cancer-related miRNAs based on network analysis

miRNAs (microRNAs) are a set of endogenous and small non-coding RNAs which specifically induce degradation of target mRNAs or inhibit protein translation to control gene expression. Obviously, aberrant miRNA expression in human cells will lead to a serious of changes in protein-protein interaction n...

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Autores principales: Liu, Zhongyu, Guo, Yanzhi, Pu, Xuemei, Li, Menglong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046108/
https://www.ncbi.nlm.nih.gov/pubmed/27694936
http://dx.doi.org/10.1038/srep34172
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author Liu, Zhongyu
Guo, Yanzhi
Pu, Xuemei
Li, Menglong
author_facet Liu, Zhongyu
Guo, Yanzhi
Pu, Xuemei
Li, Menglong
author_sort Liu, Zhongyu
collection PubMed
description miRNAs (microRNAs) are a set of endogenous and small non-coding RNAs which specifically induce degradation of target mRNAs or inhibit protein translation to control gene expression. Obviously, aberrant miRNA expression in human cells will lead to a serious of changes in protein-protein interaction network (PPIN), thus to activate or inactivate some pathways related to various diseases, especially carcinogenesis. In this study, we systematically constructed the miRNA-regulated co-expressed protein-protein interaction network (CePPIN) for 17 cancers firstly. We investigated the topological parameters and functional annotation for the proteins in CePPIN, especially for those miRNA targets. We found that targets regulated by more miRNAs tend to play a more important role in the forming process of cancers. We further elucidated the miRNA regulation rules in PPIN from a more systematical perspective. By GO and KEGG pathway analysis, miRNA targets are involved in various cellular processes mostly related to cell cycle, such as cell proliferation, growth, differentiation, etc. Through the Pfam classification, we found that miRNAs belonging to the same family tend to have targets from the same family which displays the synergistic function of these miRNAs. Finally, the case study on miR-519d and miR-21-regulated sub-network was performed to support our findings.
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spelling pubmed-50461082016-10-11 Dissecting the regulation rules of cancer-related miRNAs based on network analysis Liu, Zhongyu Guo, Yanzhi Pu, Xuemei Li, Menglong Sci Rep Article miRNAs (microRNAs) are a set of endogenous and small non-coding RNAs which specifically induce degradation of target mRNAs or inhibit protein translation to control gene expression. Obviously, aberrant miRNA expression in human cells will lead to a serious of changes in protein-protein interaction network (PPIN), thus to activate or inactivate some pathways related to various diseases, especially carcinogenesis. In this study, we systematically constructed the miRNA-regulated co-expressed protein-protein interaction network (CePPIN) for 17 cancers firstly. We investigated the topological parameters and functional annotation for the proteins in CePPIN, especially for those miRNA targets. We found that targets regulated by more miRNAs tend to play a more important role in the forming process of cancers. We further elucidated the miRNA regulation rules in PPIN from a more systematical perspective. By GO and KEGG pathway analysis, miRNA targets are involved in various cellular processes mostly related to cell cycle, such as cell proliferation, growth, differentiation, etc. Through the Pfam classification, we found that miRNAs belonging to the same family tend to have targets from the same family which displays the synergistic function of these miRNAs. Finally, the case study on miR-519d and miR-21-regulated sub-network was performed to support our findings. Nature Publishing Group 2016-10-03 /pmc/articles/PMC5046108/ /pubmed/27694936 http://dx.doi.org/10.1038/srep34172 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Liu, Zhongyu
Guo, Yanzhi
Pu, Xuemei
Li, Menglong
Dissecting the regulation rules of cancer-related miRNAs based on network analysis
title Dissecting the regulation rules of cancer-related miRNAs based on network analysis
title_full Dissecting the regulation rules of cancer-related miRNAs based on network analysis
title_fullStr Dissecting the regulation rules of cancer-related miRNAs based on network analysis
title_full_unstemmed Dissecting the regulation rules of cancer-related miRNAs based on network analysis
title_short Dissecting the regulation rules of cancer-related miRNAs based on network analysis
title_sort dissecting the regulation rules of cancer-related mirnas based on network analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046108/
https://www.ncbi.nlm.nih.gov/pubmed/27694936
http://dx.doi.org/10.1038/srep34172
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