Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Integrative genomic and transcriptomic analyses identify functionally relevant causal genes for exercise in a large animal model


ABSTRACT: Thoroughbred horses were assigned to one or more of three cohorts representing distinct exercise states: untrained at rest (UR, n = 94), untrained four hours post-exercise (UE, n = 71), and at rest following six months of training (TR, n = 65). Fifty horses were sampled in both the UR and UE groups, 32 were shared between the UR and TR groups, and 25 overlapped between the UE and TR groups; 18 horses were sampled at all three time points. Horses were classified as untrained or trained based on their prior exercise workload, as described previously [27]. Untrained horses had completed fewer than five work days (WDs; high-intensity exercise) before sampling, whereas trained horses had completed an average of 17.1 WDs (standard deviation, SD = 8.2).

INSTRUMENT(S): Illumina HiSeq 2500, University College Dublin Animal Research Ethics Committee approval, a licence from the Department of Health (B100/3525) and explicit owner/trainer informed consent were obtained for the use of all horses and procedures in this study.

ORGANISM(S): Equus caballus

SUBMITTER: Mian Feng 

PROVIDER: E-MTAB-16558 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress