A multi-tissue gene expression dataset for hibernating brown bears

BMC Genomic Data

Data Note

Joanna L. Kelley¹  Omar E. Cornejo¹  Heiko T. Jansen²  Brandon D. Evans Hutzenbiler³  Corey R. Quackenbush³  Michael W. Saxton³  Blair W. Perry³  Charles T. Robbins⁴ 

[1] Department of Ecology and Evolutionary Biology, University of California, 95060, Santa Cruz, CA, USA;Department of Integrative Physiology and Neuroscience, Washington State University, 99164, Pullman, WA, USA;School of Biological Sciences, Washington State University, 99164, Pullman, WA, USA;School of Biological Sciences, Washington State University, 99164, Pullman, WA, USA;School of the Environment, Washington State University, 99164, Pullman, WA, USA;

关键词: Gene expression;    Hibernation;    Transcriptomics;    Brown bears;   

DOI  :  10.1186/s12863-023-01136-3

 received in 2023-04-07, accepted in 2023-06-06,  发布年份 2023

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY   
© The Author(s) 2023