A multi-tissue gene expression dataset for hibernating brown bears

ObjectivesComplex physiological adaptations often involve the coordination of molecular responses across multiple tissues. Establishing transcriptomic resources for non-traditional model organisms with phenotypes of interest can provide a foundation for understanding the genomic basis of these pheno...

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Bibliographic Details
Main Authors: Perry, Blair W, Saxton, Michael W, Jansen, Heiko T, Quackenbush, Corey R, Evans Hutzenbiler, Brandon D, Robbins, Charles T, Kelley, Joanna L, Cornejo, Omar E
Format: Article in Journal/Newspaper
Language:unknown
Published: eScholarship, University of California 2023
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Online Access:https://escholarship.org/uc/item/8rx2t2h6
Description
Summary:ObjectivesComplex physiological adaptations often involve the coordination of molecular responses across multiple tissues. Establishing transcriptomic resources for non-traditional model organisms with phenotypes of interest can provide a foundation for understanding the genomic basis of these phenotypes, and the degree to which these resemble, or contrast, those of traditional model organisms. Here, we present a one-of-a-kind gene expression dataset generated from multiple tissues of two hibernating brown bears (Ursus arctos).Data descriptionThis dataset is comprised of 26 samples collected from 13 tissues of two hibernating brown bears. These samples were collected opportunistically and are typically not possible to attain, resulting in a highly unique and valuable gene expression dataset. In combination with previously published datasets, this new transcriptomic resource will facilitate detailed investigation of hibernation physiology in bears, and the potential to translate aspects of this biology to treat human disease.