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Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer

BACKGROUND: Recent studies have shown that the crosstalk between microRNA (miRNA) sponges plays an important role in human cancers. However, the co-regulation roles of miRNA sponges in protein-protein interactions (PPIs) are still unknown. RESULTS: In this study, we propose a multi-step method calle...

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Autores principales: Zhang, Junpeng, Le, Thuc Duy, Liu, Lin, Li, Jiuyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5423010/
https://www.ncbi.nlm.nih.gov/pubmed/28482794
http://dx.doi.org/10.1186/s12859-017-1672-2
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author Zhang, Junpeng
Le, Thuc Duy
Liu, Lin
Li, Jiuyong
author_facet Zhang, Junpeng
Le, Thuc Duy
Liu, Lin
Li, Jiuyong
author_sort Zhang, Junpeng
collection PubMed
description BACKGROUND: Recent studies have shown that the crosstalk between microRNA (miRNA) sponges plays an important role in human cancers. However, the co-regulation roles of miRNA sponges in protein-protein interactions (PPIs) are still unknown. RESULTS: In this study, we propose a multi-step method called miRSCoPPI to infer miRNA sponge co-regulation of PPIs. We focus on investigating breast cancer (BRCA) related miRNA sponge co-regulation, by integrating heterogeneous data, including miRNA, long non-coding RNA (lncRNA) and messenger RNA (mRNA) expression data, experimentally validated miRNA-target interactions, PPIs and lncRNA-target interactions, and the list of breast cancer genes. We find that the inferred BRCA-related miRSCoPPI network is highly connected and scale free. The top 10% hub genes in the BRCA-related miRSCoPPI network have potential biological implications in breast cancer. By utilizing a graph clustering method, we discover 17 BRCA-related miRSCoPPI modules. Through pathway enrichment analysis of the modules, we find that several modules are significantly enriched in pathways associated with breast cancer. Moreover, 10 modules have good performance in classifying breast tumor and normal samples, and can act as module signatures for prognostication. By using putative computationally predicted miRNA-target interactions, we have consistent results with those obtained using experimentally validated miRNA-target interactions, indicating that miRSCoPPI is robust in inferring miRNA sponge co-regulation of PPIs in human breast cancer. CONCLUSIONS: Taken together, the results demonstrate that miRSCoPPI is a promising tool for inferring BRCA-related miRNA sponge co-regulation of PPIs and it can help with the understanding of the co-regulation roles of miRNA sponges on the PPIs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1672-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-54230102017-05-10 Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer Zhang, Junpeng Le, Thuc Duy Liu, Lin Li, Jiuyong BMC Bioinformatics Research Article BACKGROUND: Recent studies have shown that the crosstalk between microRNA (miRNA) sponges plays an important role in human cancers. However, the co-regulation roles of miRNA sponges in protein-protein interactions (PPIs) are still unknown. RESULTS: In this study, we propose a multi-step method called miRSCoPPI to infer miRNA sponge co-regulation of PPIs. We focus on investigating breast cancer (BRCA) related miRNA sponge co-regulation, by integrating heterogeneous data, including miRNA, long non-coding RNA (lncRNA) and messenger RNA (mRNA) expression data, experimentally validated miRNA-target interactions, PPIs and lncRNA-target interactions, and the list of breast cancer genes. We find that the inferred BRCA-related miRSCoPPI network is highly connected and scale free. The top 10% hub genes in the BRCA-related miRSCoPPI network have potential biological implications in breast cancer. By utilizing a graph clustering method, we discover 17 BRCA-related miRSCoPPI modules. Through pathway enrichment analysis of the modules, we find that several modules are significantly enriched in pathways associated with breast cancer. Moreover, 10 modules have good performance in classifying breast tumor and normal samples, and can act as module signatures for prognostication. By using putative computationally predicted miRNA-target interactions, we have consistent results with those obtained using experimentally validated miRNA-target interactions, indicating that miRSCoPPI is robust in inferring miRNA sponge co-regulation of PPIs in human breast cancer. CONCLUSIONS: Taken together, the results demonstrate that miRSCoPPI is a promising tool for inferring BRCA-related miRNA sponge co-regulation of PPIs and it can help with the understanding of the co-regulation roles of miRNA sponges on the PPIs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1672-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-08 /pmc/articles/PMC5423010/ /pubmed/28482794 http://dx.doi.org/10.1186/s12859-017-1672-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhang, Junpeng
Le, Thuc Duy
Liu, Lin
Li, Jiuyong
Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer
title Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer
title_full Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer
title_fullStr Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer
title_full_unstemmed Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer
title_short Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer
title_sort inferring mirna sponge co-regulation of protein-protein interactions in human breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5423010/
https://www.ncbi.nlm.nih.gov/pubmed/28482794
http://dx.doi.org/10.1186/s12859-017-1672-2
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