Mahshad Shiri, Fatemeh Movahedi, Fatemeh Etezadi, Iman Bhia, Eberhard Korsching, Kai Wang, Sedigheh Gharbi, Sara Pahlavan
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引用次数: 0
Abstract
Cardiac regeneration is hindered by the permanent cell cycle arrest of cardiomyocytes post-birth, leading to compensatory fibrosis and impaired cardiac function after injury. While the role of cell cycle regulatory proteins is well understood, the impact of long non-coding RNAs (lncRNAs) remains unclear. To address this gap, we reanalyzed public transcriptomic datasets comparing pre- and post-natal ventricular cardiomyocytes. In silico analysis identified differentially expressed lncRNAs, with four candidates selected for further validation. Human embryonic stem cells (hESCs) were differentiated into cardiomyocytes, and their cell cycle status was assessed on Days 10, 20, and 30. The expression of in silico-identified lncRNAs was evaluated in proliferative (Day 10) and non-proliferative (Days 20 and 30) hESC-derived cardiomyocytes, resembling pre- and post-natal ventricular cardiomyocytes. Among the candidates, STARD4-AS1 and H19 showed a permanent downregulation pattern in both in silico and in vitro assays. STARD4-AS1 and H19 lncRNAs might reside in the regulatory network of cardiomyocytes cell cycle arrest and as targets for cardiac regenerative strategies.
期刊介绍:
The journal publishes original research articles and reviews on all aspects of cellular, molecular and structural biology, developmental biology, cell physiology and evolution. It will publish articles or reviews contributing to the understanding of the elementary biochemical and biophysical principles of live matter organization from the molecular, cellular and tissues scales and organisms.
This includes contributions directed towards understanding biochemical and biophysical mechanisms, structure-function relationships with respect to basic cell and tissue functions, development, development/evolution relationship, morphogenesis, stem cell biology, cell biology of disease, plant cell biology, as well as contributions directed toward understanding integrated processes at the organelles, cell and tissue levels. Contributions using approaches such as high resolution imaging, live imaging, quantitative cell biology and integrated biology; as well as those using innovative genetic and epigenetic technologies, ex-vivo tissue engineering, cellular, tissue and integrated functional analysis, and quantitative biology and modeling to demonstrate original biological principles are encouraged.