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Gata6 in pluripotent stem cells enhance the potential to differentiate into cardiomyocytes

  • Yoon, Chang-Hwan (Cardiovascular Center & Department of Internal Medicine, Seoul National University Bundang Hospital) ;
  • Kim, Tae-Won (Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University) ;
  • Koh, Seok-Jin (Cardiovascular Center & Department of Internal Medicine, Seoul National University Bundang Hospital) ;
  • Choi, Young-Eun (Innovative Research Institute for Cell Therapy, Seoul National University Hospital) ;
  • Hur, Jin (Innovative Research Institute for Cell Therapy, Seoul National University Hospital) ;
  • Kwon, Yoo-Wook (Innovative Research Institute for Cell Therapy, Seoul National University Hospital) ;
  • Cho, Hyun-Jai (Innovative Research Institute for Cell Therapy, Seoul National University Hospital) ;
  • Kim, Hyo-Soo (Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University)
  • Received : 2017.09.05
  • Accepted : 2017.10.30
  • Published : 2018.02.28

Abstract

Pluripotent stem cell (PSC) variations can cause significant differences in the efficiency of cardiac differentiation. This process is unpredictable, as there is not an adequate indicator at the undifferentiated stage of the PSCs. We compared global gene expression profiles of two PSCs showing significant differences in cardiac differentiation potential. We identified 12 up-regulated genes related to heart development, and we found that 4 genes interacted with multiple genes. Among these genes, Gata6 is the only gene that was significantly induced at the early stage of differentiation of PSCs to cardiomyocytes. Gata6 knock-down in PSCs decreased the efficiency of cardiomyocyte production. In addition, we analyzed 6 mESC lines and 3 iPSC lines and confirmed that a positive correlation exists between Gata6 levels and efficiency of differentiation into cardiomyocytes. In conclusion, Gata6 could be utilized as a biomarker to select the best PSC lines to produce PSC-derived cardiomyocytes for therapeutic purposes.

Keywords

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