Open AccessReview of multi-omics data resources and integrative analysis for human brain disorders
Author(s) -
Xianjun Dong,
Chunyu Liu,
Mikhail G. Dozmorov
Publication year - 2021
Publication title -
briefings in functional genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.22
H-Index - 67
eISSN - 2041-2647
pISSN - 2041-2649
DOI - 10.1093/bfgp/elab024
Subject(s) - omics , schizophrenia (object oriented programming) , autism , progressive supranuclear palsy , biology , disease , computational biology , human brain , neuroscience , bioinformatics , medicine , psychiatry , pathology
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.