Chevalier, Morgan; Vermij, Sarah H.; Wyler, Kurt; Gillet, Ludovic; Keller, Irene; Abriel, Hugues (2018). Transcriptomic analyses of murine ventricular cardiomyocytes. Scientific data, 5(180170), p. 180170. Nature Publishing Group 10.1038/sdata.2018.170
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Chevalier,Vermij 2018 Transcriptomics CMC.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (1MB) | Preview |
Mice are used universally as model organisms for studying heart physiology, and a plethora of genetically modified mouse models exist to study cardiac disease. Transcriptomic data for whole-heart tissue have been available, but not yet for isolated ventricular cardiomyocytes. Our lab therefore collected comprehensive RNA-seq data from wildtype murine ventricular cardiomyocytes as well as from knockout models of the ion channel regulators CASK, dystrophin, and SAP97. We also elucidate ion channel expression from wild-type cells to help
forward the debate about which ion channels are expressed in cardiomyocytes. Researchers studying the heart, and especially cardiac arrhythmias, may benefit from these cardiomyocyte-specific transcriptomic data to assess expression of genes of interest.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Biochemistry and Molecular Medicine 08 Faculty of Science > Department of Biology > Bioinformatics and Computational Biology |
Graduate School: |
Graduate School for Cellular and Biomedical Sciences (GCB) |
UniBE Contributor: |
Chevalier, Morgan Yoann Edwin, Vermij, Sarah Helena, Wyler, Kurt, Abriel, Hugues |
Subjects: |
500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health |
ISSN: |
2052-4463 |
Publisher: |
Nature Publishing Group |
Funders: |
[4] Swiss National Science Foundation |
Language: |
English |
Submitter: |
Sarah Helena Vermij |
Date Deposited: |
17 Sep 2019 14:16 |
Last Modified: |
05 Dec 2022 15:29 |
Publisher DOI: |
10.1038/sdata.2018.170 |
Related URLs: |
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PubMed ID: |
30129933 |
BORIS DOI: |
10.7892/boris.131819 |
URI: |
https://boris.unibe.ch/id/eprint/131819 |
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