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Annotation of miRNAs in COVID-19 coronavirus

The COVID-19 coronavirus is a new strain of coronavirus that had not been previously detected in humans. As its severe pathogenicity is concerned, it is important to study it thoroughly to aid in the discovery of a cure. In this study, the microRNAs (miRNAs) of COVID-19 were annotated to provide a p...

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Autores principales: Yu, Tie-Ying, Chen, Min, Wang, Chun-De
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Electronic Science and Technology of China. Publishing Services provided by Elsevier B.V. on behalf of KeAi. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834301/
http://dx.doi.org/10.1016/j.jnlest.2020.100060
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author Yu, Tie-Ying
Chen, Min
Wang, Chun-De
author_facet Yu, Tie-Ying
Chen, Min
Wang, Chun-De
author_sort Yu, Tie-Ying
collection PubMed
description The COVID-19 coronavirus is a new strain of coronavirus that had not been previously detected in humans. As its severe pathogenicity is concerned, it is important to study it thoroughly to aid in the discovery of a cure. In this study, the microRNAs (miRNAs) of COVID-19 were annotated to provide a powerful tool for the study of this novel coronavirus. We obtained 16 novel coronavirus genome sequences and the mature sequences of all viruses in the microRNA database (miRbase), and then used the miRNA mature sequences of the virus to perform the Basic Local Alignment Search Tool (BLAST) analysis in the coronavirus genome, extending the matched regions of approximately 20 bp to two segments by 200 bp. Six sequences were obtained after deleting redundant sequences. Then, the hairpin structures of the mature miRNAs were determined using RNAfold. The mature sequence on one hairpin arm was selected into a total of 4 sequences, and finally the relevant miRNA precursor prediction tools were used to verify whether the selected sequences are miRNA precursor sequences of the novel coronavirus. The miRNAs of the novel coronavirus were annotated by our newly developed method, which will lay the foundation for further study of this virus.
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spelling pubmed-78343012021-01-26 Annotation of miRNAs in COVID-19 coronavirus Yu, Tie-Ying Chen, Min Wang, Chun-De Journal of Electronic Science and Technology Article The COVID-19 coronavirus is a new strain of coronavirus that had not been previously detected in humans. As its severe pathogenicity is concerned, it is important to study it thoroughly to aid in the discovery of a cure. In this study, the microRNAs (miRNAs) of COVID-19 were annotated to provide a powerful tool for the study of this novel coronavirus. We obtained 16 novel coronavirus genome sequences and the mature sequences of all viruses in the microRNA database (miRbase), and then used the miRNA mature sequences of the virus to perform the Basic Local Alignment Search Tool (BLAST) analysis in the coronavirus genome, extending the matched regions of approximately 20 bp to two segments by 200 bp. Six sequences were obtained after deleting redundant sequences. Then, the hairpin structures of the mature miRNAs were determined using RNAfold. The mature sequence on one hairpin arm was selected into a total of 4 sequences, and finally the relevant miRNA precursor prediction tools were used to verify whether the selected sequences are miRNA precursor sequences of the novel coronavirus. The miRNAs of the novel coronavirus were annotated by our newly developed method, which will lay the foundation for further study of this virus. University of Electronic Science and Technology of China. Publishing Services provided by Elsevier B.V. on behalf of KeAi. 2021-03 2020-12-03 /pmc/articles/PMC7834301/ http://dx.doi.org/10.1016/j.jnlest.2020.100060 Text en © 2020 University of Electronic Science and Technology of China. Publishing Services provided by Elsevier B.V. on behalf of KeAi. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yu, Tie-Ying
Chen, Min
Wang, Chun-De
Annotation of miRNAs in COVID-19 coronavirus
title Annotation of miRNAs in COVID-19 coronavirus
title_full Annotation of miRNAs in COVID-19 coronavirus
title_fullStr Annotation of miRNAs in COVID-19 coronavirus
title_full_unstemmed Annotation of miRNAs in COVID-19 coronavirus
title_short Annotation of miRNAs in COVID-19 coronavirus
title_sort annotation of mirnas in covid-19 coronavirus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834301/
http://dx.doi.org/10.1016/j.jnlest.2020.100060
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