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Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection
In response to emerging infectious diseases, such as the recent pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is critical to quickly identify and understand responsible pathogens, risk factors, host immune responses, and pa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408367/ https://www.ncbi.nlm.nih.gov/pubmed/34471261 http://dx.doi.org/10.1038/s41423-021-00754-0 |
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author | Wang, Xin Xu, Gang Liu, Xiaoju Liu, Yang Zhang, Shuye Zhang, Zheng |
author_facet | Wang, Xin Xu, Gang Liu, Xiaoju Liu, Yang Zhang, Shuye Zhang, Zheng |
author_sort | Wang, Xin |
collection | PubMed |
description | In response to emerging infectious diseases, such as the recent pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is critical to quickly identify and understand responsible pathogens, risk factors, host immune responses, and pathogenic mechanisms at both the molecular and cellular levels. The recent development of multiomic technologies, including genomics, proteomics, metabolomics, and single-cell transcriptomics, has enabled a fast and panoramic grasp of the pathogen and the disease. Here, we systematically reviewed the major advances in the virology, immunology, and pathogenic mechanisms of SARS-CoV-2 infection that have been achieved via multiomic technologies. Based on well-established cohorts, omics-based methods can greatly enhance the mechanistic understanding of diseases, contributing to the development of new diagnostics, drugs, and vaccines for emerging infectious diseases, such as COVID-19. |
format | Online Article Text |
id | pubmed-8408367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84083672021-09-01 Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection Wang, Xin Xu, Gang Liu, Xiaoju Liu, Yang Zhang, Shuye Zhang, Zheng Cell Mol Immunol Review Article In response to emerging infectious diseases, such as the recent pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), it is critical to quickly identify and understand responsible pathogens, risk factors, host immune responses, and pathogenic mechanisms at both the molecular and cellular levels. The recent development of multiomic technologies, including genomics, proteomics, metabolomics, and single-cell transcriptomics, has enabled a fast and panoramic grasp of the pathogen and the disease. Here, we systematically reviewed the major advances in the virology, immunology, and pathogenic mechanisms of SARS-CoV-2 infection that have been achieved via multiomic technologies. Based on well-established cohorts, omics-based methods can greatly enhance the mechanistic understanding of diseases, contributing to the development of new diagnostics, drugs, and vaccines for emerging infectious diseases, such as COVID-19. Nature Publishing Group UK 2021-09-01 2021-10 /pmc/articles/PMC8408367/ /pubmed/34471261 http://dx.doi.org/10.1038/s41423-021-00754-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Wang, Xin Xu, Gang Liu, Xiaoju Liu, Yang Zhang, Shuye Zhang, Zheng Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection |
title | Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection |
title_full | Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection |
title_fullStr | Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection |
title_full_unstemmed | Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection |
title_short | Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection |
title_sort | multiomics: unraveling the panoramic landscapes of sars-cov-2 infection |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408367/ https://www.ncbi.nlm.nih.gov/pubmed/34471261 http://dx.doi.org/10.1038/s41423-021-00754-0 |
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