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Multiomics integration-based molecular characterizations of COVID-19

The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), rapidly became a global health challenge, leading to unprecedented social and economic consequences. The mechanisms behind the pathogenesis of SARS-CoV-2 are both unique and...

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Autores principales: Li, Chuan-Xing, Gao, Jing, Zhang, Zicheng, Chen, Lu, Li, Xun, Zhou, Meng, Wheelock, Åsa M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769889/
https://www.ncbi.nlm.nih.gov/pubmed/34864875
http://dx.doi.org/10.1093/bib/bbab485
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author Li, Chuan-Xing
Gao, Jing
Zhang, Zicheng
Chen, Lu
Li, Xun
Zhou, Meng
Wheelock, Åsa M
author_facet Li, Chuan-Xing
Gao, Jing
Zhang, Zicheng
Chen, Lu
Li, Xun
Zhou, Meng
Wheelock, Åsa M
author_sort Li, Chuan-Xing
collection PubMed
description The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), rapidly became a global health challenge, leading to unprecedented social and economic consequences. The mechanisms behind the pathogenesis of SARS-CoV-2 are both unique and complex. Omics-scale studies are emerging rapidly and offer a tremendous potential to unravel the puzzle of SARS-CoV-2 pathobiology, as well as moving forward with diagnostics, potential drug targets, risk stratification, therapeutic responses, vaccine development and therapeutic innovation. This review summarizes various aspects of understanding multiomics integration-based molecular characterizations of COVID-19, which to date include the integration of transcriptomics, proteomics, genomics, lipidomics, immunomics and metabolomics to explore virus targets and developing suitable therapeutic solutions through systems biology tools. Furthermore, this review also covers an abridgment of omics investigations related to disease pathogenesis and virulence, the role of host genetic variation and a broad array of immune and inflammatory phenotypes contributing to understanding COVID-19 traits. Insights into this review, which combines existing strategies and multiomics integration profiling, may help further advance our knowledge of COVID-19.
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spelling pubmed-87698892022-01-20 Multiomics integration-based molecular characterizations of COVID-19 Li, Chuan-Xing Gao, Jing Zhang, Zicheng Chen, Lu Li, Xun Zhou, Meng Wheelock, Åsa M Brief Bioinform Problem Solving Protocol The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), rapidly became a global health challenge, leading to unprecedented social and economic consequences. The mechanisms behind the pathogenesis of SARS-CoV-2 are both unique and complex. Omics-scale studies are emerging rapidly and offer a tremendous potential to unravel the puzzle of SARS-CoV-2 pathobiology, as well as moving forward with diagnostics, potential drug targets, risk stratification, therapeutic responses, vaccine development and therapeutic innovation. This review summarizes various aspects of understanding multiomics integration-based molecular characterizations of COVID-19, which to date include the integration of transcriptomics, proteomics, genomics, lipidomics, immunomics and metabolomics to explore virus targets and developing suitable therapeutic solutions through systems biology tools. Furthermore, this review also covers an abridgment of omics investigations related to disease pathogenesis and virulence, the role of host genetic variation and a broad array of immune and inflammatory phenotypes contributing to understanding COVID-19 traits. Insights into this review, which combines existing strategies and multiomics integration profiling, may help further advance our knowledge of COVID-19. Oxford University Press 2021-12-02 /pmc/articles/PMC8769889/ /pubmed/34864875 http://dx.doi.org/10.1093/bib/bbab485 Text en © The Author(s) 2021. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Problem Solving Protocol
Li, Chuan-Xing
Gao, Jing
Zhang, Zicheng
Chen, Lu
Li, Xun
Zhou, Meng
Wheelock, Åsa M
Multiomics integration-based molecular characterizations of COVID-19
title Multiomics integration-based molecular characterizations of COVID-19
title_full Multiomics integration-based molecular characterizations of COVID-19
title_fullStr Multiomics integration-based molecular characterizations of COVID-19
title_full_unstemmed Multiomics integration-based molecular characterizations of COVID-19
title_short Multiomics integration-based molecular characterizations of COVID-19
title_sort multiomics integration-based molecular characterizations of covid-19
topic Problem Solving Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769889/
https://www.ncbi.nlm.nih.gov/pubmed/34864875
http://dx.doi.org/10.1093/bib/bbab485
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