Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783642252048859136 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7834301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | University of Electronic Science and Technology of China. Publishing Services provided by Elsevier B.V. on behalf of KeAi. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yutieying annotationofmirnasincovid19coronavirus AT chenmin annotationofmirnasincovid19coronavirus AT wangchunde annotationofmirnasincovid19coronavirus |