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Systematic exploration of autonomous modules in noisy microRNA-target networks for testing the generality of the ceRNA hypothesis
BACKGROUND: In the competing endogenous RNA (ceRNA) hypothesis, different transcripts communicate through a competition for their common targeting microRNAs (miRNAs). Individual examples have clearly shown the functional importance of ceRNA in gene regulation and cancer biology. It remains unclear t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367885/ https://www.ncbi.nlm.nih.gov/pubmed/25539629 http://dx.doi.org/10.1186/1471-2164-15-1178 |
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author | Yip, Danny Kit-Sang Pang, Iris K Yip, Kevin Y |
author_facet | Yip, Danny Kit-Sang Pang, Iris K Yip, Kevin Y |
author_sort | Yip, Danny Kit-Sang |
collection | PubMed |
description | BACKGROUND: In the competing endogenous RNA (ceRNA) hypothesis, different transcripts communicate through a competition for their common targeting microRNAs (miRNAs). Individual examples have clearly shown the functional importance of ceRNA in gene regulation and cancer biology. It remains unclear to what extent gene expression levels are regulated by ceRNA in general. One major hurdle to studying this problem is the intertwined connections in miRNA-target networks, which makes it difficult to isolate the effects of individual miRNAs. RESULTS: Here we propose computational methods for decomposing a complex miRNA-target network into largely autonomous modules called microRNA-target biclusters (MTBs). Each MTB contains a relatively small number of densely connected miRNAs and mRNAs with few connections to other miRNAs and mRNAs. Each MTB can thus be individually analyzed with minimal crosstalk with other MTBs. Our approach differs from previous methods for finding modules in miRNA-target networks by not making any pre-assumptions about expression patterns, thereby providing objective information for testing the ceRNA hypothesis. We show that the expression levels of miRNAs and mRNAs in an MTB are significantly more anti-correlated than random miRNA-mRNA pairs and other validated and predicted miRNA-target pairs, demonstrating the biological relevance of MTBs. We further show that there is widespread correlation of expression between mRNAs in same MTBs under a wide variety of parameter settings, and the correlation remains even when co-regulatory effects are controlled for, which suggests potential widespread expression buffering between these mRNAs, which is consistent with the ceRNA hypothesis. Lastly, we also propose a potential use of MTBs in functional annotation of miRNAs. CONCLUSIONS: MTBs can be used to help identify autonomous miRNA-target modules for testing the generality of the ceRNA hypothesis experimentally. The identified modules can also be used to test other properties of miRNA-target networks in general. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-1178) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4367885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43678852015-03-21 Systematic exploration of autonomous modules in noisy microRNA-target networks for testing the generality of the ceRNA hypothesis Yip, Danny Kit-Sang Pang, Iris K Yip, Kevin Y BMC Genomics Methodology Article BACKGROUND: In the competing endogenous RNA (ceRNA) hypothesis, different transcripts communicate through a competition for their common targeting microRNAs (miRNAs). Individual examples have clearly shown the functional importance of ceRNA in gene regulation and cancer biology. It remains unclear to what extent gene expression levels are regulated by ceRNA in general. One major hurdle to studying this problem is the intertwined connections in miRNA-target networks, which makes it difficult to isolate the effects of individual miRNAs. RESULTS: Here we propose computational methods for decomposing a complex miRNA-target network into largely autonomous modules called microRNA-target biclusters (MTBs). Each MTB contains a relatively small number of densely connected miRNAs and mRNAs with few connections to other miRNAs and mRNAs. Each MTB can thus be individually analyzed with minimal crosstalk with other MTBs. Our approach differs from previous methods for finding modules in miRNA-target networks by not making any pre-assumptions about expression patterns, thereby providing objective information for testing the ceRNA hypothesis. We show that the expression levels of miRNAs and mRNAs in an MTB are significantly more anti-correlated than random miRNA-mRNA pairs and other validated and predicted miRNA-target pairs, demonstrating the biological relevance of MTBs. We further show that there is widespread correlation of expression between mRNAs in same MTBs under a wide variety of parameter settings, and the correlation remains even when co-regulatory effects are controlled for, which suggests potential widespread expression buffering between these mRNAs, which is consistent with the ceRNA hypothesis. Lastly, we also propose a potential use of MTBs in functional annotation of miRNAs. CONCLUSIONS: MTBs can be used to help identify autonomous miRNA-target modules for testing the generality of the ceRNA hypothesis experimentally. The identified modules can also be used to test other properties of miRNA-target networks in general. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-1178) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-24 /pmc/articles/PMC4367885/ /pubmed/25539629 http://dx.doi.org/10.1186/1471-2164-15-1178 Text en © Yip et al.; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Methodology Article Yip, Danny Kit-Sang Pang, Iris K Yip, Kevin Y Systematic exploration of autonomous modules in noisy microRNA-target networks for testing the generality of the ceRNA hypothesis |
title | Systematic exploration of autonomous modules in noisy microRNA-target networks for testing the generality of the ceRNA hypothesis |
title_full | Systematic exploration of autonomous modules in noisy microRNA-target networks for testing the generality of the ceRNA hypothesis |
title_fullStr | Systematic exploration of autonomous modules in noisy microRNA-target networks for testing the generality of the ceRNA hypothesis |
title_full_unstemmed | Systematic exploration of autonomous modules in noisy microRNA-target networks for testing the generality of the ceRNA hypothesis |
title_short | Systematic exploration of autonomous modules in noisy microRNA-target networks for testing the generality of the ceRNA hypothesis |
title_sort | systematic exploration of autonomous modules in noisy microrna-target networks for testing the generality of the cerna hypothesis |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367885/ https://www.ncbi.nlm.nih.gov/pubmed/25539629 http://dx.doi.org/10.1186/1471-2164-15-1178 |
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