Tissue Non-Specific Genes and Pathways Associated with Diabetes: An Expression Meta-Analysis.

ABSTRACT: We performed expression studies to identify tissue non-specific genes and pathways of diabetes by meta-analysis. We searched curated datasets of the Gene Expression Omnibus (GEO) database and identified 13 and five expression studies of diabetes and insulin responses at various tissues, respectively. We tested differential gene expression by empirical Bayes-based linear method and investigated gene set expression association by knowledge-based enrichment analysis. Meta-analysis by different methods was applied to identify tissue non-specific genes and gene sets. We also proposed pathway mapping analysis to infer functions of the identified gene sets, and correlation and independent analysis to evaluate expression association profile of genes and gene sets between studies and tissues. Our a

SUBMITTER: Mei H 

PROVIDER: S-EPMC5295038 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature