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Integrative multi-omics and systems bioinformatics in translational neuroscience:A data mining perspective

Journal of Pharmaceutical Analysis 2023年第8期13卷 836-850页

作者： Lance M.O'Connor Blake A.O'Connor Su Bin Lim Jialiu Zeng Chih Hung Lo College of Biological Sciences University of MinnesotaMinneapolisMN55455USA School of Pharmacy University of WisconsinMadisonWI53705USA Department of Biochemistry and Molecular Biology Ajou University School of MedicineSuwon16499South Korea Lee Kong Chian School of Medicine Nanyang Technological UniversitySingapore308232Singapore

Bioinformatic analysis of large and complex omics datasets has become increasingly useful in modern day biology by providing a great depth of information,with its application to neuroscience termed *** mining of omics datasets has enabled the generation of new hypotheses based on differentially regulated biological molecules associated with disease mechanisms,which can be tested experimentally for improved diagnostic and therapeutic targeting of neurodegenerative ***,integrating multi-omics data using a systems bioinformatics approach will advance the understanding of the layered and interactive network of biological regulation that exchanges systemic knowledge to facilitate the development of a comprehensive human brain *** this review,we first summarize data mining studies utilizing datasets from the individual type of omics analysis,including epigenetics/epigenomics,transcriptomics,proteomics,metabolomics,lipidomics,and spatial omics,pertaining to Alzheimer's disease,Parkinson's disease,and multiple *** then discuss multi-omics integration approaches,including independent biological integration and unsupervised integration methods,for more intuitive and informative interpretation of the biological data obtained across different omics *** further assess studies that integrate multi-omics in data mining which provide convoluted biological insights and offer proof-of-concept proposition towards systems bioinformatics in the reconstruction of brain ***,we recommend a combination of high dimensional bioinformatics analysis with experimental validation to achieve translational neuroscience applications including biomarker discovery,therapeutic development,and elucidation of disease *** conclude by providing future perspectives and opportunities in applying integrative multi-omics and systems bioinformatics to achieve precision phenotyping of neurodegenerative diseases and towards personaliz

关键词： Multi-omics integration systems bioinformatics Data mining Human brain profile reconstruction Translational neuroscience

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