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We have previously demonstrated that human umbilical cord-derived mesenchymal stem cells (UC-MSCs) can differentiate into cardiomyocyte-like cells. However, no contracting cells were observed during differentiation. In this study, we generated induced pluripotent stem cells (iPSCs) from UC-MSCs using mRNA reprogramming and focused on the differentiation of reprogrammed iPSCs into functional cardiomyocytes. For cardiac differentiation, the spontaneously contracting cell clusters were present on day 8 of differentiation. Immunostaining studies and cardiac-specific gene expression confirmed the cardiomyocyte phenotype of the differentiated cells. Electrophysiology studies indicated that iPSCs derived from UC-MSCs had a capacity for differentiation into nodal-, atrial-, and ventricular-like phenotypes based on action potential characteristics, and the derived cardiomyocytes exhibited responsiveness to β-adrenergic and muscarinic stimulations. Moreover, the derived cardiomyocytes displayed spontaneous intracellular Ca2+ transients. These results demonstrate that functional cardiomyocytes can be generated from reprogrammed UC-MSCs, and the methodology described here will serve as a useful protocol to obtain functional cardiomyocytes from human mesenchymal stem cells.
Pubmed ID: 29961217
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Open source database of curated, non-redundant set of profiles derived from published collections of experimentally defined transcription factor binding sites for multicellular eukaryotes. Consists of open data access, non-redundancy and quality. JASPAR CORE is smaller set that is non-redundant and curated. Collection of transcription factor DNA-binding preferences, modeled as matrices. These can be converted into Position Weight Matrices (PWMs or PSSMs), used for scanning genomic sequences. Web interface for browsing, searching and subset selection, online sequence analysis utility and suite of programming tools for genome-wide and comparative genomic analysis of regulatory regions. New functions include clustering of matrix models by similarity, generation of random matrices by sampling from selected sets of existing models and a language-independent Web Service applications programming interface for matrix retrieval.
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