Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection

Wang, Xin1; Xu, Gang1; Liu, Xiaoju1; Liu, Yang1; Zhang, Shuye2; Zhang, Zheng1,3,4,5

2021-09-01

10.1038/s41423-021-00754-0

Cellular & Molecular Immunology   影响因子和分区

1672-7681

2042-0226

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.

SARS-CoV-2 COVID-19 Multi-omics Virology Immune Response Pathogenesis

SCI

英语

第一 ; 通讯

National Science Fund for Distinguished Young Scholars[82025022] ; Central Charity Fund of the Chinese Academy of Medical Science[2020-PT310-009] ; Shenzhen Bay Funding["2020B1111340074","2020B1111340075"]

Immunology

Immunology

WOS:000691932200001

CHIN SOCIETY IMMUNOLOGY

Web of Science

1.Southern Univ Sci & Technol, Affiliated Hosp 2, Shenzhen Peoples Hosp 3, Natl Clin Res Ctr Infect Dis,Inst Hepatol,Sch Med, Shenzhen, Guangdong, Peoples R China
2.Fudan Univ, Shanghai Publ Hlth Clin Ctr, Shanghai, Peoples R China
3.Chinese Acad Med Sci, Shenzhen Res Ctr Communicable Dis Diag & Treatmen, Shenzhen, Guangdong, Peoples R China
4.Guangdong Key Lab Antiinfect Drug Qual Evaluat, Shenzhen, Guangdong, Peoples R China
5.Shenzhen Bay Lab, Shenzhen, Guangdong, Peoples R China

Wang, Xin,Xu, Gang,Liu, Xiaoju,et al. Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection[J]. Cellular & Molecular Immunology,2021.

Wang, Xin,Xu, Gang,Liu, Xiaoju,Liu, Yang,Zhang, Shuye,&Zhang, Zheng.(2021).Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection.Cellular & Molecular Immunology.

Wang, Xin,et al."Multiomics: unraveling the panoramic landscapes of SARS-CoV-2 infection".Cellular & Molecular Immunology (2021).