Publication
Cardiac interstitial tetraploid cells can escape replicative senescence in rodents but not large mammals.
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- Persistent URL
- Last modified
- 05/20/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2019-06-13
- Publisher
- Nature Research (part of Springer Nature): Fully open access journals
- Publication Version
- Copyright Statement
- © The Author(s) 2019
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- ISSN
- 2399-3642
- Volume
- 2
- Start Page
- 205
- End Page
- 205
- Grant/Funding Information
- K.M. Broughton is supported by NIH grant F32HL136196.
- M.A. Sussman is supported by NIH grants R01HL067245, R37HL091102, R01HL105759, R01HL113647, R01HL117163, P01HL085577, and R01HL122525, as well as an award from the Fondation Leducq.
- Supplemental Material (URL)
- Abstract
- Cardiomyocyte ploidy has been described but remains obscure in cardiac interstitial cells. Ploidy of c-kit+ cardiac interstitial cells was assessed using confocal, karyotypic, and flow cytometric technique. Notable differences were found between rodent (rat, mouse) c-kit+ cardiac interstitial cells possessing mononuclear tetraploid (4n) content, compared to large mammals (human, swine) with mononuclear diploid (2n) content. In-situ analysis, confirmed with fresh isolates, revealed diploid content in human c-kit+ cardiac interstitial cells and a mixture of diploid and tetraploid content in mouse. Downregulation of the p53 signaling pathway provides evidence why rodent, but not human, c-kit+ cardiac interstitial cells escape replicative senescence. Single cell transcriptional profiling reveals distinctions between diploid versus tetraploid populations in mouse c-kit+ cardiac interstitial cells, alluding to functional divergences. Collectively, these data reveal notable species-specific biological differences in c-kit+ cardiac interstitial cells, which could account for challenges in extrapolation of myocardial from preclinical studies to clinical trials.
- Author Notes
- Keywords
- Research Categories
- Health Sciences, Medicine and Surgery
- Engineering, Biomedical
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