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Competing endogenous RNA networks in human cancer: hypothesis, validation, and perspectives
Non-coding RNAs represent a majority of the human transcriptome. However, less is known about the functions and regulatory mechanisms of most non-coding species. Moreover, little is known about the potential non-coding functions of coding RNAs. The competing endogenous RNAs (ceRNAs) hypothesis is pr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924655/ https://www.ncbi.nlm.nih.gov/pubmed/26872371 http://dx.doi.org/10.18632/oncotarget.7266 |
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author | Yang, Chao Wu, Di Gao, Lin Liu, Xi Jin, Yinji Wang, Dong Wang, Tianzhen Li, Xiaobo |
author_facet | Yang, Chao Wu, Di Gao, Lin Liu, Xi Jin, Yinji Wang, Dong Wang, Tianzhen Li, Xiaobo |
author_sort | Yang, Chao |
collection | PubMed |
description | Non-coding RNAs represent a majority of the human transcriptome. However, less is known about the functions and regulatory mechanisms of most non-coding species. Moreover, little is known about the potential non-coding functions of coding RNAs. The competing endogenous RNAs (ceRNAs) hypothesis is proposed recently. This hypothesis describes potential communication networks among all transcript RNA species mediated by miRNAs and miRNA-recognizing elements (MREs) within RNA transcripts. Here we review the evolution of the ceRNA hypothesis, summarize the validation experiments and discusses the significance and perspectives of this hypothesis in human cancer. |
format | Online Article Text |
id | pubmed-4924655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-49246552016-07-13 Competing endogenous RNA networks in human cancer: hypothesis, validation, and perspectives Yang, Chao Wu, Di Gao, Lin Liu, Xi Jin, Yinji Wang, Dong Wang, Tianzhen Li, Xiaobo Oncotarget Review Non-coding RNAs represent a majority of the human transcriptome. However, less is known about the functions and regulatory mechanisms of most non-coding species. Moreover, little is known about the potential non-coding functions of coding RNAs. The competing endogenous RNAs (ceRNAs) hypothesis is proposed recently. This hypothesis describes potential communication networks among all transcript RNA species mediated by miRNAs and miRNA-recognizing elements (MREs) within RNA transcripts. Here we review the evolution of the ceRNA hypothesis, summarize the validation experiments and discusses the significance and perspectives of this hypothesis in human cancer. Impact Journals LLC 2016-02-08 /pmc/articles/PMC4924655/ /pubmed/26872371 http://dx.doi.org/10.18632/oncotarget.7266 Text en Copyright: © 2016 Yang et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Review Yang, Chao Wu, Di Gao, Lin Liu, Xi Jin, Yinji Wang, Dong Wang, Tianzhen Li, Xiaobo Competing endogenous RNA networks in human cancer: hypothesis, validation, and perspectives |
title | Competing endogenous RNA networks in human cancer: hypothesis, validation, and perspectives |
title_full | Competing endogenous RNA networks in human cancer: hypothesis, validation, and perspectives |
title_fullStr | Competing endogenous RNA networks in human cancer: hypothesis, validation, and perspectives |
title_full_unstemmed | Competing endogenous RNA networks in human cancer: hypothesis, validation, and perspectives |
title_short | Competing endogenous RNA networks in human cancer: hypothesis, validation, and perspectives |
title_sort | competing endogenous rna networks in human cancer: hypothesis, validation, and perspectives |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924655/ https://www.ncbi.nlm.nih.gov/pubmed/26872371 http://dx.doi.org/10.18632/oncotarget.7266 |
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