Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer Networks

Alterations to transcriptional regulation are an important factor in breast cancer. Noncoding RNA, such as microRNA (miR), have very influential roles in the transcriptional regulation of genes. Transcriptional regulation can be successfully modeled and analyzed using complex network theory. Particu...

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Main Authors: Guillermo de Anda-Jáuregui, Jesús Espinal-Enríquez, Diana Drago-García, Enrique Hernández-Lemus
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:International Journal of Genomics
Online Access:http://dx.doi.org/10.1155/2018/9585383
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spelling doaj-acd1061284ec4e2486be27f92a3b88182020-11-24T23:53:57ZengHindawi LimitedInternational Journal of Genomics2314-436X2314-43782018-01-01201810.1155/2018/95853839585383Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer NetworksGuillermo de Anda-Jáuregui0Jesús Espinal-Enríquez1Diana Drago-García2Enrique Hernández-Lemus3Computational Genomics Division, National Institute of Genomic Medicine, 14610 Mexico City, MexicoComputational Genomics Division, National Institute of Genomic Medicine, 14610 Mexico City, MexicoDepartment of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, IsraelComputational Genomics Division, National Institute of Genomic Medicine, 14610 Mexico City, MexicoAlterations to transcriptional regulation are an important factor in breast cancer. Noncoding RNA, such as microRNA (miR), have very influential roles in the transcriptional regulation of genes. Transcriptional regulation can be successfully modeled and analyzed using complex network theory. Particularly, interactions between two distinct classes of biological elements, such as miR and genes, can be approached through the bipartite network formalism. Based on bipartite network properties, it is possible to identify highly influential miRs in the network, such as those that have a large number of connections indicating regulation of a large set of genes. Some miRs in a network are nonredundant, which indicates that they are solely responsible of the regulation of a particular set of genes, which in turn may be associated to a particular biological process. We hypothesize that highly influential, nonredundant miRs, which we call Commodore miRs (Cdre-miRs), have an important role on the control of biological functions through transcriptional networks. In this work, we analyze the regulation of gene expression by miRs in healthy and cancerous breast tissue using bipartite miR-gene networks inferred from the Cancer Genome Atlas (TCGA) expression data. We observe differences in the degree, clustering coefficient and redundancy distributions for miRs and genes in the network, indicating differences in the way that these elements interact with each other. Furthermore, we identify a small set of five Cdre-miRs in the breast cancer network: miR-190b, miR-let7i, miR-292-b, miR-511, and miR-141. The neighborhood of genes controlled by each of these miRs is involved in particular biological functions such as dynein structure-associated processes, immune response, angiogenesis, cytokine activity, and cell motility. We propose that these Cdre-miRs are important control elements of biological functions deregulated in breast cancer.http://dx.doi.org/10.1155/2018/9585383
collection DOAJ
language English
format Article
sources DOAJ
author Guillermo de Anda-Jáuregui
Jesús Espinal-Enríquez
Diana Drago-García
Enrique Hernández-Lemus
spellingShingle Guillermo de Anda-Jáuregui
Jesús Espinal-Enríquez
Diana Drago-García
Enrique Hernández-Lemus
Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer Networks
International Journal of Genomics
author_facet Guillermo de Anda-Jáuregui
Jesús Espinal-Enríquez
Diana Drago-García
Enrique Hernández-Lemus
author_sort Guillermo de Anda-Jáuregui
title Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer Networks
title_short Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer Networks
title_full Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer Networks
title_fullStr Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer Networks
title_full_unstemmed Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer Networks
title_sort nonredundant, highly connected micrornas control functionality in breast cancer networks
publisher Hindawi Limited
series International Journal of Genomics
issn 2314-436X
2314-4378
publishDate 2018-01-01
description Alterations to transcriptional regulation are an important factor in breast cancer. Noncoding RNA, such as microRNA (miR), have very influential roles in the transcriptional regulation of genes. Transcriptional regulation can be successfully modeled and analyzed using complex network theory. Particularly, interactions between two distinct classes of biological elements, such as miR and genes, can be approached through the bipartite network formalism. Based on bipartite network properties, it is possible to identify highly influential miRs in the network, such as those that have a large number of connections indicating regulation of a large set of genes. Some miRs in a network are nonredundant, which indicates that they are solely responsible of the regulation of a particular set of genes, which in turn may be associated to a particular biological process. We hypothesize that highly influential, nonredundant miRs, which we call Commodore miRs (Cdre-miRs), have an important role on the control of biological functions through transcriptional networks. In this work, we analyze the regulation of gene expression by miRs in healthy and cancerous breast tissue using bipartite miR-gene networks inferred from the Cancer Genome Atlas (TCGA) expression data. We observe differences in the degree, clustering coefficient and redundancy distributions for miRs and genes in the network, indicating differences in the way that these elements interact with each other. Furthermore, we identify a small set of five Cdre-miRs in the breast cancer network: miR-190b, miR-let7i, miR-292-b, miR-511, and miR-141. The neighborhood of genes controlled by each of these miRs is involved in particular biological functions such as dynein structure-associated processes, immune response, angiogenesis, cytokine activity, and cell motility. We propose that these Cdre-miRs are important control elements of biological functions deregulated in breast cancer.
url http://dx.doi.org/10.1155/2018/9585383
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