ArticleScientific data2026
Effects of genotype and exercise on hepatic gene expression in phenotype-selected marathon mice.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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6 authors.
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Abstract
Experimental evolution through selection experiments is a vital tool for exploring the special features of polygenic traits. Here, we provide liver transcriptome data from a paternally selected marathon mouse model (DUhTP), characterized by exceptional running performance, and unselected controls (DUC), both descended from the same polygenic background. To study training responses, both lines were either challenged by three weeks of high-speed treadmill training or remained sedentary. For each condition, eight animals were used for liver tissue isolation and next-generation sequencing. Raw sequencing files were submitted to the ArrayExpress collection under accession number E-MTAB-12071. High data quality was confirmed by appropriate mean read lengths, high mean quality scores, and low duplication rates after adapter trimming. With an average of 16.9 million reads per sample mapping to 19,930 genes, the dataset enables comprehensive gene expression analyses. A multiQC report for the dataset, together with a sample-by-gene count matrix, is available on Figshare. The provided data offer a valuable resource for research in polygenic traits associated with physical activity.
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