A multi-tissue gene expression dataset for hibernating brown bears.

A multi-tissue gene expression dataset for hibernating brown bears.
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DOI:
10.1186/s12863-023-01136-3
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发表时间:
2023-06-08
期刊:
影响因子:
1.9
通讯作者:
--
中科院分区:
生物学3区
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复杂的生理适应通常涉及跨多个组织的分子反应的协调。建立具有感兴趣表型的非传统模式生物的转录资源可以为理解这些表型的基因组基础以及这些表型与传统模式生物的相似或对比程度提供基础。在这里,我们提供了一个从两只冬眠棕熊(Ursus Arctos)的多个组织中产生的独一无二的基因表达数据集。这个数据集由26个样本组成,这些样本来自两只冬眠棕熊的13个组织。这些样本是机会性地收集的,通常不可能获得,从而产生了高度独特和有价值的基因表达数据集。结合以前发表的数据集,这一新的转录资源将有助于详细研究熊的冬眠生理学,并有可能将这种生物学的各个方面转化为治疗人类疾病的方法。
Complex 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). This 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.
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