Directed Differentiation of Human Embryonic Stem Cells to Interrogate the Cardiac Gene Regulatory Network
The limited ability of the heart to regenerate has prompted development of new systems to produce cardiomyocytes for therapeutics. While differentiation of human embryonic stem cells (hESCs) into cardiomyocytes has been well documented, the process remains inefficient and/or expensive, and progress...
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Published in: | Molecular therapy Vol. 19; no. 9; pp. 1695 - 1703 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Elsevier Inc
01-09-2011
Elsevier Limited Nature Publishing Group |
Subjects: | |
Online Access: | Get full text |
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Summary: | The limited ability of the heart to regenerate has prompted development of new systems to produce cardiomyocytes for therapeutics. While differentiation of human embryonic stem cells (hESCs) into cardiomyocytes has been well documented, the process remains inefficient and/or expensive, and progress would be facilitated by better understanding the early genetic events that cause cardiac specification. By maintaining a transgenic cardiac-specific MYH6-monomeric red fluorescent protein (mRFP) reporter hESC line in conditions that promote pluripotency, we tested the ability of combinations of 15 genes to induce cardiac specification. Screening identified GATA4 plus TBX5 as the minimum requirement to activate the cardiac gene regulatory network and produce mRFP+ cells, while a combination of GATA4, TBX5, NKX2.5, and BAF60c (GTNB) was necessary to generate beating cardiomyocytes positive for cTnI and α-actinin. Including the chemotherapeutic agent, Ara-C, from day 10 of induced differentiation enriched for cTnI/α-actinin double positive cells to 45%. Transient expression of GTNB for 5–7 days was necessary to activate the cardiogenesis through progenitor intermediates in a manner consistent with normal heart development. This system provides a route to test the effect of different factors on human cardiac differentiation and will be useful in understanding the network failures that underlie disease phenotypes. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1525-0016 1525-0024 |
DOI: | 10.1038/mt.2011.125 |