Review of multi-omics data resources and integrative analysis for human brain disorders. (8th May 2021)

• Record Type: Journal Article
• Authors: Dong, Xianjun; Liu, Chunyu; Dozmorov, Mikhail
• Is Part Of: Briefings in functional genomics. Volume 20:Number 4(2021)
• Page Start: 223
• Page End: 234
• Publication Date: 2021-05-08
• Subjects: multi-omics -- neuropsychiatric diseases -- single-cell omics -- human brains -- integrative analysis; Genomics -- Methodology -- Periodicals; Genomics -- Technological innovations -- Periodicals; 572.86072
• DOI: 10.1093/bfgp/elab024
• Languages: English
• ISSNs: 2041-2649

Abstract

Abstract: In the last decade, massive omics datasets have been generated for human brain research. It is evolving so fast that a timely update is urgently needed. In this review, we summarize the main multi-omics data resources for the human brains of both healthy controls and neuropsychiatric disorders, including schizophrenia, autism, bipolar disorder, Alzheimer's disease, Parkinson's disease, progressive supranuclear palsy, etc. We also review the recent development of single-cell omics in brain research, such as single-nucleus RNA-seq, single-cell ATAC-seq and spatial transcriptomics. We further investigate the integrative multi-omics analysis methods for both tissue and single-cell data. Finally, we discuss the limitations and future directions of the multi-omics study of human brain disorders.