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PMID: 37533767 Published · epublish English Journal Article Review

Applications of multi-omics analysis in human diseases.

MedComm ·Vol. 4 ·No. 4 ·2023-08-00 ·Pages e315

Chen C, Wang J, Pan D, Wang X, Xu Y, Yan J, Wang L, Yang X, Yang M, Liu GP

Abstract

Multi-omics usually refers to the crossover application of multiple high-throughput screening technologies represented by genomics, transcriptomics, single-cell transcriptomics, proteomics and metabolomics, spatial transcriptomics, and so on, which play a great role in promoting the study of human diseases. Most of the current reviews focus on describing the development of multi-omics technologies, data integration, and application to a particular disease; however, few of them provide a comprehensive and systematic introduction of multi-omics. This review outlines the existing technical categories of multi-omics, cautions for experimental design, focuses on the integrated analysis methods of multi-omics, especially the approach of machine learning and deep learning in multi-omics data integration and the corresponding tools, and the application of multi-omics in medical researches (e.g., cancer, neurodegenerative diseases, aging, and drug target discovery) as well as the corresponding open-source analysis tools and databases, and finally, discusses the challenges and future directions of multi-omics integration and application in precision medicine. With the development of high-throughput technologies and data integration algorithms, as important directions of multi-omics for future disease research, single-cell multi-omics and spatial multi-omics also provided a detailed introduction. This review will provide important guidance for researchers, especially who are just entering into multi-omics medical research.

Keywords
biomarker machine learning and deep learning multi‐omics neurodegenerative disease precision medicine
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Chen Chongyang
Key Laboratory of Nuclear Medicine Ministry of Health Jiangsu Key Laboratory of Molecular Nuclear Medicine Jiangsu Institute of Nuclear Medicine Wuxi China. | Co-innovation Center of Neurodegeneration Nantong University Nantong China.
Wang Jing
Shenzhen Key Laboratory of Modern Toxicology Shenzhen Medical Key Discipline of Health Toxicology (2020-2024) Shenzhen Center for Disease Control and Prevention Shenzhen China.
Pan Donghui
Key Laboratory of Nuclear Medicine Ministry of Health Jiangsu Key Laboratory of Molecular Nuclear Medicine Jiangsu Institute of Nuclear Medicine Wuxi China.
Wang Xinyu
Key Laboratory of Nuclear Medicine Ministry of Health Jiangsu Key Laboratory of Molecular Nuclear Medicine Jiangsu Institute of Nuclear Medicine Wuxi China.
Xu Yuping
Key Laboratory of Nuclear Medicine Ministry of Health Jiangsu Key Laboratory of Molecular Nuclear Medicine Jiangsu Institute of Nuclear Medicine Wuxi China.
Yan Junjie
Key Laboratory of Nuclear Medicine Ministry of Health Jiangsu Key Laboratory of Molecular Nuclear Medicine Jiangsu Institute of Nuclear Medicine Wuxi China.
Wang Lizhen
Key Laboratory of Nuclear Medicine Ministry of Health Jiangsu Key Laboratory of Molecular Nuclear Medicine Jiangsu Institute of Nuclear Medicine Wuxi China.
Yang Xifei ORCID
Shenzhen Key Laboratory of Modern Toxicology Shenzhen Medical Key Discipline of Health Toxicology (2020-2024) Shenzhen Center for Disease Control and Prevention Shenzhen China.
Yang Min
Key Laboratory of Nuclear Medicine Ministry of Health Jiangsu Key Laboratory of Molecular Nuclear Medicine Jiangsu Institute of Nuclear Medicine Wuxi China.
Liu Gong-Ping
Co-innovation Center of Neurodegeneration Nantong University Nantong China. | Department of Pathophysiology School of Basic Medicine Key Laboratory of Ministry of Education of China and Hubei Province for Neurological Disorders Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Conflict of Interest

The authors declare no conflict of interest.

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Article Info
Journal
MedComm
Abbr.
MedComm (2020)
ISSN
2688-2663
DOI
10.1002/mco2.315
Published
2023-08-00
Epub
2023-00-31
Pages
e315
Language
English
Region
China
NLM ID
101769925
PMCID
PMC10390758
External Links
PubMed source DOI: 10.1002/mco2.315 PMC Full Text View journal details
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