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Multiomics integration-based molecular characterizations of COVID-19
Chuan-Xing Li1,2, Jing Gao1,3,4, Zicheng Zhang5
1Respiratory Medicine Unit, Department of Medicine & Centre for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
Briefings in Bioinformatics
|December 5, 2021
Summary
Multiomics studies reveal complex COVID-19 (coronavirus disease 2019) mechanisms. Integrating various
Area of Science:
- COVID-19 research
- Systems Biology
- Genomics and Pathobiology
Background:
- The COVID-19 pandemic, caused by SARS-CoV-2, presents unique pathobiology.
- Understanding disease mechanisms is crucial for effective interventions.
- Omics-scale studies offer potential for unraveling COVID-19 complexity.
Purpose of the Study:
- To review multiomics integration for molecular characterization of COVID-19.
- To explore how omics data aids in diagnostics and therapeutic development.
- To summarize omics investigations into pathogenesis, host genetics, and immune responses.
Main Methods:
- Integration of transcriptomics, proteomics, genomics, lipidomics, immunomics, and metabolomics.
- Application of systems biology tools for analyzing multiomics data.
- Review of existing literature on omics investigations in COVID-19.
Main Results:
- Multiomics integration provides insights into SARS-CoV-2 targets and host responses.
- Omics data aids in understanding disease pathogenesis, virulence, and host genetic factors.
- Characterization of immune and inflammatory phenotypes contributing to COVID-19 traits.
Conclusions:
- Multiomics integration is a powerful approach to understanding COVID-19 molecular mechanisms.
- This approach advances diagnostics, drug discovery, and therapeutic innovation.
- Further research combining strategies and multiomics profiling will enhance COVID-19 knowledge.
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