Exercise and high-fat feeding remodel transcript-metabolite interactive networks in mouse skeletal muscle.

ABSTRACT: Enhanced coverage and sensitivity of next-generation 'omic' platforms has allowed the characterization of gene, metabolite and protein responses in highly metabolic tissues, such as, skeletal muscle. A limitation, however, is the capability to determine interaction between dynamic biological networks. To address this limitation, we applied Weighted Analyte Correlation Network Analysis (WACNA) to RNA-seq and metabolomic datasets to identify correlated subnetworks of transcripts and metabolites in response to a high-fat diet (HFD)-induced obesity and/or exercise. HFD altered skeletal muscle lipid profiles and up-regulated genes involved in lipid catabolism, while decreasing 241 exercise-responsive genes related to skeletal muscle plasticity. WACNA identified the interplay between transcript

SUBMITTER: Perez-Schindler J 

PROVIDER: S-EPMC5647435 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature