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A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines

Long non-coding RNAs (lncRNAs) play critical and complicated roles in the regulation of various biological processes, including chromatin modification, transcription and post-transcriptional processing. Interestingly, some lncRNAs serve as miRNA “sponges” that inhibit interaction with miRNA targets...

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Autores principales: Sun, Jiachun, Yan, Junqiang, Yuan, Xiaozhi, Yang, Ruina, Dan, Tanyou, Wang, Xinshuai, Kong, Guoqiang, Gao, Shegan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415789/
https://www.ncbi.nlm.nih.gov/pubmed/28536623
http://dx.doi.org/10.1186/s11658-016-0022-0
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author Sun, Jiachun
Yan, Junqiang
Yuan, Xiaozhi
Yang, Ruina
Dan, Tanyou
Wang, Xinshuai
Kong, Guoqiang
Gao, Shegan
author_facet Sun, Jiachun
Yan, Junqiang
Yuan, Xiaozhi
Yang, Ruina
Dan, Tanyou
Wang, Xinshuai
Kong, Guoqiang
Gao, Shegan
author_sort Sun, Jiachun
collection PubMed
description Long non-coding RNAs (lncRNAs) play critical and complicated roles in the regulation of various biological processes, including chromatin modification, transcription and post-transcriptional processing. Interestingly, some lncRNAs serve as miRNA “sponges” that inhibit interaction with miRNA targets in post-transcriptional regulation. We constructed a putative competing endogenous RNA (ceRNA) network by integrating lncRNA, miRNA and mRNA expression based on high-throughput RNA sequencing and microarray data to enable a comparison of the SHEE and SHEEC cell lines. Using Targetscan and miRanda bioinformatics algorithms and miRTarbase microRNA-target interactions database, we established that 51 miRNAs sharing 13,623 MREs with 2260 genes and 82 lncRNAs were involved in this ceRNA network. Through a biological function analysis, the ceRNA network appeared to be primarily involved in cell proliferation, apoptosis, the cell cycle, invasion and metastasis. Functional pathway analyses demonstrated that the ceRNA network potentially modulated multiple signaling pathways, such as the MAPK, Ras, HIF-1, Rap1, and PI3K/Akt signaling pathways. These results might provide new clues to better understand the regulation of the ceRNA network in cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s11658-016-0022-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-54157892017-05-23 A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines Sun, Jiachun Yan, Junqiang Yuan, Xiaozhi Yang, Ruina Dan, Tanyou Wang, Xinshuai Kong, Guoqiang Gao, Shegan Cell Mol Biol Lett Short Report Long non-coding RNAs (lncRNAs) play critical and complicated roles in the regulation of various biological processes, including chromatin modification, transcription and post-transcriptional processing. Interestingly, some lncRNAs serve as miRNA “sponges” that inhibit interaction with miRNA targets in post-transcriptional regulation. We constructed a putative competing endogenous RNA (ceRNA) network by integrating lncRNA, miRNA and mRNA expression based on high-throughput RNA sequencing and microarray data to enable a comparison of the SHEE and SHEEC cell lines. Using Targetscan and miRanda bioinformatics algorithms and miRTarbase microRNA-target interactions database, we established that 51 miRNAs sharing 13,623 MREs with 2260 genes and 82 lncRNAs were involved in this ceRNA network. Through a biological function analysis, the ceRNA network appeared to be primarily involved in cell proliferation, apoptosis, the cell cycle, invasion and metastasis. Functional pathway analyses demonstrated that the ceRNA network potentially modulated multiple signaling pathways, such as the MAPK, Ras, HIF-1, Rap1, and PI3K/Akt signaling pathways. These results might provide new clues to better understand the regulation of the ceRNA network in cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s11658-016-0022-0) contains supplementary material, which is available to authorized users. BioMed Central 2016-09-26 /pmc/articles/PMC5415789/ /pubmed/28536623 http://dx.doi.org/10.1186/s11658-016-0022-0 Text en © The Author(s) 2016 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 Short Report
Sun, Jiachun
Yan, Junqiang
Yuan, Xiaozhi
Yang, Ruina
Dan, Tanyou
Wang, Xinshuai
Kong, Guoqiang
Gao, Shegan
A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines
title A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines
title_full A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines
title_fullStr A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines
title_full_unstemmed A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines
title_short A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines
title_sort computationally constructed cerna interaction network based on a comparison of the shee and sheec cell lines
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415789/
https://www.ncbi.nlm.nih.gov/pubmed/28536623
http://dx.doi.org/10.1186/s11658-016-0022-0
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