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Therapeutic perceptions in antisense RNA-mediated gene regulation for COVID-19
COVID-19 was first reported in Wuhan, China, in December 2019. It is widely accepted that the world will not return to its prepandemic normality until safe and effective vaccines are available and a global vaccination program has been successfully implemented. Antisense RNAs are single-stranded RNAs...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282474/ https://www.ncbi.nlm.nih.gov/pubmed/34274470 http://dx.doi.org/10.1016/j.gene.2021.145839 |
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author | de Jesus, Sabrina Ferreira Santos, Laércio Ives Rodrigues Neto, João Felício Vieira, Thallyta Maria Mendes, João Batista D'angelo, Marcos Flavio Silveira Vasconcelos Guimaraes, André Luiz Sena |
author_facet | de Jesus, Sabrina Ferreira Santos, Laércio Ives Rodrigues Neto, João Felício Vieira, Thallyta Maria Mendes, João Batista D'angelo, Marcos Flavio Silveira Vasconcelos Guimaraes, André Luiz Sena |
author_sort | de Jesus, Sabrina Ferreira |
collection | PubMed |
description | COVID-19 was first reported in Wuhan, China, in December 2019. It is widely accepted that the world will not return to its prepandemic normality until safe and effective vaccines are available and a global vaccination program has been successfully implemented. Antisense RNAs are single-stranded RNAs that occur naturally or are synthetic and enable hybridizing and protein-blocking translation. Therefore, the main objective of this study was to identify target markers in the RNA of the severe acute respiratory syndrome coronavirus, or SARS-CoV-2, with a length between 21 and 28 bases that could enable the development of vaccines and therapies based on antisense RNA. We used a search algorithm in C language to compare 3159 complete nucleotide sequences from SARS-CoV-2 downloaded from the repository of the National Center for Biotechnology Information. The objective was to verify whether any common sequences were present in all 3159 strains of SARS-CoV-2. In the first of three datasets (SARS-CoV-2), the algorithm found two sequences each of 21 nucleotides (Sequence 1: CTACTGAAGCCTTTGAAAAAA; Sequence 2: TGTGGTTATACCTACTAAAAA). In the second dataset (SARS-CoV) and third dataset (MERS-CoV), no sequences of size N between 21 and 28 were found. Sequence 1 and Sequence 2 were input into BLAST® ≫ blastn and recognized by the platform. The gene identified by the sequences found by the algorithm was the ORF1ab region of SARS-CoV-2. Considerable progress in antisense RNA research has been made in recent years, and great achievements in the application of antisense RNA have been observed. However, many mechanisms of antisense RNA are not yet understood. Thus, more time and money must be invested into the development of therapies for gene regulation mediated by antisense RNA to treat COVID-19 as no effective therapy for this disease has yet been found. |
format | Online Article Text |
id | pubmed-8282474 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82824742021-07-20 Therapeutic perceptions in antisense RNA-mediated gene regulation for COVID-19 de Jesus, Sabrina Ferreira Santos, Laércio Ives Rodrigues Neto, João Felício Vieira, Thallyta Maria Mendes, João Batista D'angelo, Marcos Flavio Silveira Vasconcelos Guimaraes, André Luiz Sena Gene Research Paper COVID-19 was first reported in Wuhan, China, in December 2019. It is widely accepted that the world will not return to its prepandemic normality until safe and effective vaccines are available and a global vaccination program has been successfully implemented. Antisense RNAs are single-stranded RNAs that occur naturally or are synthetic and enable hybridizing and protein-blocking translation. Therefore, the main objective of this study was to identify target markers in the RNA of the severe acute respiratory syndrome coronavirus, or SARS-CoV-2, with a length between 21 and 28 bases that could enable the development of vaccines and therapies based on antisense RNA. We used a search algorithm in C language to compare 3159 complete nucleotide sequences from SARS-CoV-2 downloaded from the repository of the National Center for Biotechnology Information. The objective was to verify whether any common sequences were present in all 3159 strains of SARS-CoV-2. In the first of three datasets (SARS-CoV-2), the algorithm found two sequences each of 21 nucleotides (Sequence 1: CTACTGAAGCCTTTGAAAAAA; Sequence 2: TGTGGTTATACCTACTAAAAA). In the second dataset (SARS-CoV) and third dataset (MERS-CoV), no sequences of size N between 21 and 28 were found. Sequence 1 and Sequence 2 were input into BLAST® ≫ blastn and recognized by the platform. The gene identified by the sequences found by the algorithm was the ORF1ab region of SARS-CoV-2. Considerable progress in antisense RNA research has been made in recent years, and great achievements in the application of antisense RNA have been observed. However, many mechanisms of antisense RNA are not yet understood. Thus, more time and money must be invested into the development of therapies for gene regulation mediated by antisense RNA to treat COVID-19 as no effective therapy for this disease has yet been found. Elsevier B.V. 2021-10-20 2021-07-16 /pmc/articles/PMC8282474/ /pubmed/34274470 http://dx.doi.org/10.1016/j.gene.2021.145839 Text en © 2021 Elsevier B.V. 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 | Research Paper de Jesus, Sabrina Ferreira Santos, Laércio Ives Rodrigues Neto, João Felício Vieira, Thallyta Maria Mendes, João Batista D'angelo, Marcos Flavio Silveira Vasconcelos Guimaraes, André Luiz Sena Therapeutic perceptions in antisense RNA-mediated gene regulation for COVID-19 |
title | Therapeutic perceptions in antisense RNA-mediated gene regulation for COVID-19 |
title_full | Therapeutic perceptions in antisense RNA-mediated gene regulation for COVID-19 |
title_fullStr | Therapeutic perceptions in antisense RNA-mediated gene regulation for COVID-19 |
title_full_unstemmed | Therapeutic perceptions in antisense RNA-mediated gene regulation for COVID-19 |
title_short | Therapeutic perceptions in antisense RNA-mediated gene regulation for COVID-19 |
title_sort | therapeutic perceptions in antisense rna-mediated gene regulation for covid-19 |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282474/ https://www.ncbi.nlm.nih.gov/pubmed/34274470 http://dx.doi.org/10.1016/j.gene.2021.145839 |
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