Integrated co-expression network analysis uncovers novel tissue-specific genes in major depressive disorder and bipolar disorder.

ABSTRACT: Tissue-specific gene expression has been found to be associated with multiple complex diseases including cancer, metabolic disease, aging, etc. However, few studies of brain-tissue-specific gene expression patterns have been reported, especially in psychiatric disorders. In this study, we performed joint analysis on large-scale transcriptome multi-tissue data to investigate tissue-specific expression patterns in major depressive disorder (MDD) and bipolar disorder (BP). We established the strategies of identifying tissues-specific modules, annotated pathways for elucidating biological functions of tissues, and tissue-specific genes based on weighted gene co-expression network analysis (WGCNA) and robust rank aggregation (RRA) with transcriptional profiling data from different human tissues

SUBMITTER: Han M 

PROVIDER: S-EPMC9445988 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature