Journal
PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY
Volume 473, Issue 7, Pages 1023-1039Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s00424-021-02549-8
Keywords
Human pluripotent stem cells; Cardiomyocytes; Cell surface marker; Heterogeneity; Maturation; Cardiac marker
Categories
Funding
- 'Improvement on Competitiveness in Hiring New Faculties' Funding Scheme
- Chinese University of Hong Kong
Ask authors/readers for more resources
Research shows that disparities among differentiation protocols and time of cultivation lead to mixed cultures of cardiac cells at various developmental stages, originating from differences in differentiation schemes and reprogramming. Immunophenotyping coupled with live cell sorting is a reliable method to overcome cell population heterogeneity.
Human pluripotent stem cells (hPSC) self-renew and represent a potentially unlimited source for the production of cardiomyocytes (CMs) suitable for studies of human cardiac development, drug discovery, cardiotoxicity testing, and disease modelling and for cell-based therapies. However, most cardiac differentiation protocols yield mixed cultures of atrial-, ventricular-, and pacemaker-like cells at various stages of development, as well as non-CMs. The proportions and maturation states of these cell types result from disparities among differentiation protocols and time of cultivation, as well as hPSC reprogramming inconsistencies and genetic background variations. The reproducible use of hPSC-CMs for research and therapy is therefore limited by issues of cell population heterogeneity and functional states of maturation. A validated method that overcomes issues of cell heterogeneity is immunophenotyping coupled with live cell sorting, an approach that relies on accessible surface markers restricted to the desired cell type(s). Here we review current progress in unravelling heterogeneity in hPSC-cardiac cultures and in the identification of surface markers suitable for defining cardiac identity, subtype specificity, and maturation states.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available