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Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines
Inactivated vaccines are one of the most effective strategies for controlling the coronavirus disease 2019 (COVID-19) pandemic. However, the response genes for the protective effect of inactivated vaccines are still unclear. Herein, we analysed the neutralization antibody responses elicited by vacci...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122457/ https://www.ncbi.nlm.nih.gov/pubmed/37096063 http://dx.doi.org/10.7717/peerj.15155 |
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author | Chen, Hongquan Zhang, Lu Xu, Chen Shen, Xiaoyun Lou, Jiazhou Wu, Shengjun |
author_facet | Chen, Hongquan Zhang, Lu Xu, Chen Shen, Xiaoyun Lou, Jiazhou Wu, Shengjun |
author_sort | Chen, Hongquan |
collection | PubMed |
description | Inactivated vaccines are one of the most effective strategies for controlling the coronavirus disease 2019 (COVID-19) pandemic. However, the response genes for the protective effect of inactivated vaccines are still unclear. Herein, we analysed the neutralization antibody responses elicited by vaccine serum and carried out transcriptome sequencing of RNAs isolated from the PBMCs of 29 medical staff receiving two doses of the CoronaVac vaccine. The results showed that SARS-CoV-2 neutralization antibody titers varied considerably among individuals, and revealed that many innate immune pathways were activated after vaccination. Furthermore, the blue module revealed that NRAS, YWHAB, SMARCA5, PPP1CC and CDC5L may be correlated with the protective effect of the inactivated vaccine. Additionally, MAPK1, CDC42, PPP2CA, EP300, YWHAZ and NRAS were demonstrated as the hub genes having a significant association with vaccines. These findings provide a basis for understanding the molecular mechanism of the host immune response induced by inactivated vaccines. |
format | Online Article Text |
id | pubmed-10122457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101224572023-04-23 Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines Chen, Hongquan Zhang, Lu Xu, Chen Shen, Xiaoyun Lou, Jiazhou Wu, Shengjun PeerJ Genomics Inactivated vaccines are one of the most effective strategies for controlling the coronavirus disease 2019 (COVID-19) pandemic. However, the response genes for the protective effect of inactivated vaccines are still unclear. Herein, we analysed the neutralization antibody responses elicited by vaccine serum and carried out transcriptome sequencing of RNAs isolated from the PBMCs of 29 medical staff receiving two doses of the CoronaVac vaccine. The results showed that SARS-CoV-2 neutralization antibody titers varied considerably among individuals, and revealed that many innate immune pathways were activated after vaccination. Furthermore, the blue module revealed that NRAS, YWHAB, SMARCA5, PPP1CC and CDC5L may be correlated with the protective effect of the inactivated vaccine. Additionally, MAPK1, CDC42, PPP2CA, EP300, YWHAZ and NRAS were demonstrated as the hub genes having a significant association with vaccines. These findings provide a basis for understanding the molecular mechanism of the host immune response induced by inactivated vaccines. PeerJ Inc. 2023-04-19 /pmc/articles/PMC10122457/ /pubmed/37096063 http://dx.doi.org/10.7717/peerj.15155 Text en ©2023 Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Genomics Chen, Hongquan Zhang, Lu Xu, Chen Shen, Xiaoyun Lou, Jiazhou Wu, Shengjun Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines |
title | Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines |
title_full | Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines |
title_fullStr | Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines |
title_full_unstemmed | Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines |
title_short | Analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated COVID-19 vaccines |
title_sort | analysing transcriptomic signatures and identifying potential genes for the protective effect of inactivated covid-19 vaccines |
topic | Genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10122457/ https://www.ncbi.nlm.nih.gov/pubmed/37096063 http://dx.doi.org/10.7717/peerj.15155 |
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