<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Mian Feng</submitter><organism>Equus caballus</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-16558</full_dataset_link><description>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).</description><repository>biostudies-arrayexpress</repository><sample_protocol>Nucleic Acid Extraction - Total RNA was extracted from approximately 70 mg tissue, using a protocol combining TRIzol reagent (Thermo Fisher, Massachusetts, United States), DNase treatment (RNase free DNase) (Qiagen, Hilden, Germany) and RNeasy Mini-Kit (Qiagen).RNA was quantified using a Nano Drop ND1000 spectrophotometer V 3.5.27 and RNA quality and purity were assessed using the 18S/28S ratio and RNA integrity number (RIN) on an Agilent Bioanalyser with the RNA 6000 Nano LabChip kit6 (Agilent, Cork, Ireland).</sample_protocol><sample_protocol>Library Construction - Indexed, strand specific Illumina sequencing libraries were prepared using the TruSeq Stranded mRNA Library Preparation Kit LT (Illumina, San Diego, United States).</sample_protocol><sample_protocol>Sequencing - Libraries were pooled with ten indexed libraries per pool and sequenced on an Illumina HiSeq 2500 using Rapid Run flow cell and reagents (Illumina).Dual lane load^Bing was employed, meaning a single pool was loaded across both lanes of the flow cell. Each pool was sequenced on one flow cell (two lanes). Sequencing was performed in a 2 M-CM-^W 100 bp paired end (PE100) format.</sample_protocol><sample_protocol>Sample Collection - Percutaneous needle muscle biopsies (approx. 300 mg) were obtained from the ventral compartment of the middle gluteal muscle from standing unsedated horses using a previously described method [53] and preserved in RNAlater (Thermo Fisher, Massachusetts, United States).</sample_protocol><figure_sub>Organization</figure_sub><figure_sub>MINSEQE Score</figure_sub><figure_sub>Assays and Data</figure_sub><figure_sub>Processed Data</figure_sub><figure_sub>MAGE-TAB Files</figure_sub><data_protocol>Data Transformation - Raw read counts were initially normalised using the Trimmed Mean of M-values (TMM) method with the edgeR (v3.36.0) package. Following normalisation, the counts were subjected to inverse-normal transformation across samples. Genes with a transcript per million (TPM) normalised count > 0.1 in at least 20% of the samples were selected.</data_protocol><omics_type>Metabolomics</omics_type><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><instrument_platform>Illumina HiSeq 2500</instrument_platform><instrument_platform>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.</instrument_platform><study_type>RNA-seq of coding RNA</study_type><species>Equus caballus</species><pubmed_authors>Mian Feng</pubmed_authors></additional><is_claimable>false</is_claimable><name>Integrative genomic and transcriptomic analyses identify functionally relevant causal genes for exercise in a large animal model</name><description>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).</description><dates><release>2026-05-18T00:00:00Z</release><modification>2026-05-18T12:04:18.116Z</modification><creation>2026-01-21T15:46:13.157Z</creation></dates><accession>E-MTAB-16558</accession><cross_references><ENA>ERP188003</ENA><Biostudies>E-MTAB-5447</Biostudies><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0003738</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>