A multi-tissue gene expression dataset for hibernating brown bears
Abstract Objectives 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 t...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-06-01
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| Series: | BMC Genomic Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12863-023-01136-3 |
| _version_ | 1797806514638946304 |
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| author | Blair W. Perry Michael W. Saxton Heiko T. Jansen Corey R. Quackenbush Brandon D. Evans Hutzenbiler Charles T. Robbins Joanna L. Kelley Omar E. Cornejo |
| author_facet | Blair W. Perry Michael W. Saxton Heiko T. Jansen Corey R. Quackenbush Brandon D. Evans Hutzenbiler Charles T. Robbins Joanna L. Kelley Omar E. Cornejo |
| author_sort | Blair W. Perry |
| collection | DOAJ |
| description | Abstract Objectives 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). Data description 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. |
| first_indexed | 2024-03-13T06:08:29Z |
| format | Article |
| id | doaj.art-7707b52962ea4db78e4225ba7936aa0c |
| institution | Directory Open Access Journal |
| issn | 2730-6844 |
| language | English |
| last_indexed | 2024-03-13T06:08:29Z |
| publishDate | 2023-06-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genomic Data |
| spelling | doaj.art-7707b52962ea4db78e4225ba7936aa0c2023-06-11T11:26:39ZengBMCBMC Genomic Data2730-68442023-06-012411310.1186/s12863-023-01136-3A multi-tissue gene expression dataset for hibernating brown bearsBlair W. Perry0Michael W. Saxton1Heiko T. Jansen2Corey R. Quackenbush3Brandon D. Evans Hutzenbiler4Charles T. Robbins5Joanna L. Kelley6Omar E. Cornejo7School of Biological Sciences, Washington State UniversitySchool of Biological Sciences, Washington State UniversityDepartment of Integrative Physiology and Neuroscience, Washington State UniversitySchool of Biological Sciences, Washington State UniversitySchool of Biological Sciences, Washington State UniversitySchool of Biological Sciences, Washington State UniversityDepartment of Ecology and Evolutionary Biology, University of CaliforniaDepartment of Ecology and Evolutionary Biology, University of CaliforniaAbstract Objectives 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). Data description 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.https://doi.org/10.1186/s12863-023-01136-3Gene expressionHibernationTranscriptomicsBrown bears |
| spellingShingle | Blair W. Perry Michael W. Saxton Heiko T. Jansen Corey R. Quackenbush Brandon D. Evans Hutzenbiler Charles T. Robbins Joanna L. Kelley Omar E. Cornejo A multi-tissue gene expression dataset for hibernating brown bears BMC Genomic Data Gene expression Hibernation Transcriptomics Brown bears |
| title | A multi-tissue gene expression dataset for hibernating brown bears |
| title_full | A multi-tissue gene expression dataset for hibernating brown bears |
| title_fullStr | A multi-tissue gene expression dataset for hibernating brown bears |
| title_full_unstemmed | A multi-tissue gene expression dataset for hibernating brown bears |
| title_short | A multi-tissue gene expression dataset for hibernating brown bears |
| title_sort | multi tissue gene expression dataset for hibernating brown bears |
| topic | Gene expression Hibernation Transcriptomics Brown bears |
| url | https://doi.org/10.1186/s12863-023-01136-3 |
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