| Experiment Id | GSE15232 | Series Id | E-GEOD-15232 |
| Name | A Regulatory Pathway Involving Notch1/beta-Catenin/Isl1 Determines Cardiac Progenitor Cell Fate | Experiment Type | transcription profiling by array |
| Study Type | WT vs. Mutant | Source | GEO |
| Curation Date | 2023-11-14 |
| description | The regulation of multipotent cardiac progenitor cell (CPC) expansion and subsequent differentiation into cardiomyocytes, smooth muscle, or endothelial cells is a fundamental aspect of basic cardiovascular biology and cardiac regenerative medicine. However, the mechanisms governing these decisions remain unclear. Here, we show that Wnt/beta-Catenin signaling, which promotes expansion of CPCs, is negatively regulated by Notch1-mediated control of phosphorylated beta-Catenin accumulation within CPCs, and that Notch1 activity in CPCs is required for their differentiation. Notch1 positively, and beta-Catenin negatively, regulated expression of the cardiac transcription factors, Isl1, Myocd and Smyd1. Surprisingly, disruption of Isl1, normally expressed transiently in CPCs prior to their differentiation, resulted in expansion of CPCs in vivo and in an embryonic stem (ES) cell system. Furthermore, Isl1 was required for CPC differentiation into cardiomyocyte and smooth muscle cells, but not endothelial cells. These findings reveal a regulatory network controlling CPC expansion and cell fate that involve unanticipated functions of beta-Catenin, Notch1 and Isl1 that may be leveraged for regenerative approaches involving CPCs. YFP+ cells marking precardiac mesoderm (Isl1-cre domain) were FACS-sorted (w/wo stabilized Beta-catenin). Their total RNA was amplified with the WT-Ovation Pico RNA Amplification System, fragmented and labeled with the FL-Ovation cDNA Biotin Module V2 (Nugen). The hybridization, staining and scanning of the Affymetrix GeneChips were performed in the Gladstone Genomics Core Lab. Raw data generated from at least three independent experiments were further analyzed by the group of Dr. Ru-Fang Yeh at the Center for Informatics and Molecular Biostatistics, UCSF. |
