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Disease-Associated Circular RNAs: From Biology to Computational Identification
Circular RNAs (circRNAs) are endogenous RNAs with a covalently closed continuous loop, generated through various backsplicing events of pre-mRNA. An accumulating number of studies have shown that circRNAs are potential biomarkers for major human diseases such as cancer and Alzheimer's disease....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450300/ https://www.ncbi.nlm.nih.gov/pubmed/32908906 http://dx.doi.org/10.1155/2020/6798590 |
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author | Tang, Min Kui, Ling Lu, Guanyi Chen, Wenqiang |
author_facet | Tang, Min Kui, Ling Lu, Guanyi Chen, Wenqiang |
author_sort | Tang, Min |
collection | PubMed |
description | Circular RNAs (circRNAs) are endogenous RNAs with a covalently closed continuous loop, generated through various backsplicing events of pre-mRNA. An accumulating number of studies have shown that circRNAs are potential biomarkers for major human diseases such as cancer and Alzheimer's disease. Thus, identification and prediction of human disease-associated circRNAs are of significant importance. To this end, a computational analysis-assisted strategy is indispensable to detect, verify, and quantify circRNAs for downstream applications. In this review, we briefly introduce the biology of circRNAs, including the biogenesis, characteristics, and biological functions. In addition, we outline about 30 recent bioinformatic analysis tools that are publicly available for circRNA study. Principles for applying these computational strategies and considerations will be briefly discussed. Lastly, we give a complete survey on more than 20 key computational databases that are frequently used. To our knowledge, this is the most complete and updated summary on publicly available circRNA resources. In conclusion, this review summarizes key aspects of circRNA biology and outlines key computational strategies that will facilitate the genome-wide identification and prediction of circRNAs. |
format | Online Article Text |
id | pubmed-7450300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-74503002020-09-08 Disease-Associated Circular RNAs: From Biology to Computational Identification Tang, Min Kui, Ling Lu, Guanyi Chen, Wenqiang Biomed Res Int Review Article Circular RNAs (circRNAs) are endogenous RNAs with a covalently closed continuous loop, generated through various backsplicing events of pre-mRNA. An accumulating number of studies have shown that circRNAs are potential biomarkers for major human diseases such as cancer and Alzheimer's disease. Thus, identification and prediction of human disease-associated circRNAs are of significant importance. To this end, a computational analysis-assisted strategy is indispensable to detect, verify, and quantify circRNAs for downstream applications. In this review, we briefly introduce the biology of circRNAs, including the biogenesis, characteristics, and biological functions. In addition, we outline about 30 recent bioinformatic analysis tools that are publicly available for circRNA study. Principles for applying these computational strategies and considerations will be briefly discussed. Lastly, we give a complete survey on more than 20 key computational databases that are frequently used. To our knowledge, this is the most complete and updated summary on publicly available circRNA resources. In conclusion, this review summarizes key aspects of circRNA biology and outlines key computational strategies that will facilitate the genome-wide identification and prediction of circRNAs. Hindawi 2020-08-17 /pmc/articles/PMC7450300/ /pubmed/32908906 http://dx.doi.org/10.1155/2020/6798590 Text en Copyright © 2020 Min Tang et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Tang, Min Kui, Ling Lu, Guanyi Chen, Wenqiang Disease-Associated Circular RNAs: From Biology to Computational Identification |
title | Disease-Associated Circular RNAs: From Biology to Computational Identification |
title_full | Disease-Associated Circular RNAs: From Biology to Computational Identification |
title_fullStr | Disease-Associated Circular RNAs: From Biology to Computational Identification |
title_full_unstemmed | Disease-Associated Circular RNAs: From Biology to Computational Identification |
title_short | Disease-Associated Circular RNAs: From Biology to Computational Identification |
title_sort | disease-associated circular rnas: from biology to computational identification |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450300/ https://www.ncbi.nlm.nih.gov/pubmed/32908906 http://dx.doi.org/10.1155/2020/6798590 |
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