
Since the advent of induced pluripotent stem cell (iPSC) technology a decade ago, enormous progress has been made in stem cell biology and regenerative medicine. Human iPSCs have been widely used for disease modeling, drug discovery, and cell therapy development. In this review, we discuss the progress in applications of iPSC technology that are particularly relevant to drug discovery and regenerative medicine, and consider the remaining challenges and the emerging opportunities in the field.Articles in this review were searched from PubMed database from January 2014 to December 2017.Original articles about iPSCs and cardiovascular diseases were included and analyzed.iPSC holds great promises for human disease modeling, drug discovery, and stem cell-based therapy, and this potential is only beginning to be realized. However, several important issues remain to be addressed.The recent availability of human cardiomyocytes derived from iPSCs opens new opportunities to build in vitro models of cardiac disease, screening for new drugs and patient-specific cardiac therapy.
Induced Pluripotent Stem Cells, R, Review Article, Regenerative Medicine, Cardiovascular Diseases; Embryonic Stem Cells; Induced Pluripotent Stem Cells, Cardiovascular Diseases, Medicine, Humans, Embryonic Stem Cells
Induced Pluripotent Stem Cells, R, Review Article, Regenerative Medicine, Cardiovascular Diseases; Embryonic Stem Cells; Induced Pluripotent Stem Cells, Cardiovascular Diseases, Medicine, Humans, Embryonic Stem Cells
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
