Title |
Induction of Human iPSC-Derived Cardiomyocyte Proliferation Revealed by Combinatorial Screening in High Density Microbioreactor Arrays
|
---|---|
Published in |
Scientific Reports, April 2016
|
DOI | 10.1038/srep24637 |
Pubmed ID | |
Authors |
Drew M. Titmarsh, Nick R. Glass, Richard J. Mills, Alejandro Hidalgo, Ernst J. Wolvetang, Enzo R. Porrello, James E. Hudson, Justin J. Cooper-White |
Abstract |
Inducing cardiomyocyte proliferation in post-mitotic adult heart tissue is attracting significant attention as a therapeutic strategy to regenerate the heart after injury. Model animal screens have identified several candidate signalling pathways, however, it remains unclear as to what extent these pathways can be exploited, either individually or in combination, in the human system. The advent of human cardiac cells from directed differentiation of human pluripotent stem cells (hPSCs) now provides the ability to interrogate human cardiac biology in vitro, but it remains difficult with existing culture formats to simply and rapidly elucidate signalling pathway penetrance and interplay. To facilitate high-throughput combinatorial screening of candidate biologicals or factors driving relevant molecular pathways, we developed a high-density microbioreactor array (HDMA) - a microfluidic cell culture array containing 8100 culture chambers. We used HDMAs to combinatorially screen Wnt, Hedgehog, IGF and FGF pathway agonists. The Wnt activator CHIR99021 was identified as the most potent molecular inducer of human cardiomyocyte proliferation, inducing cell cycle activity marked by Ki67, and an increase in cardiomyocyte numbers compared to controls. The combination of human cardiomyocytes with the HDMA provides a versatile and rapid tool for stratifying combinations of factors for heart regeneration. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 40% |
Australia | 1 | 10% |
Unknown | 5 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 80% |
Scientists | 1 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Russia | 1 | <1% |
Singapore | 1 | <1% |
Unknown | 118 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 26% |
Researcher | 24 | 20% |
Student > Master | 17 | 14% |
Student > Bachelor | 11 | 9% |
Student > Doctoral Student | 6 | 5% |
Other | 14 | 11% |
Unknown | 18 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 38 | 31% |
Agricultural and Biological Sciences | 24 | 20% |
Engineering | 18 | 15% |
Medicine and Dentistry | 12 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
Other | 5 | 4% |
Unknown | 22 | 18% |