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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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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. |
format | Online Article Text |
id | pubmed-5423010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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