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Transcriptional and Functional Profiling of Human Embryonic Stem Cell-Derived Cardiomyocytes

Overview of attention for article published in PLOS ONE, October 2008
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Title
Transcriptional and Functional Profiling of Human Embryonic Stem Cell-Derived Cardiomyocytes
Published in
PLOS ONE, October 2008
DOI 10.1371/journal.pone.0003474
Pubmed ID
Authors

Feng Cao, Roger A. Wagner, Kitchener D. Wilson, Xiaoyan Xie, Ji-Dong Fu, Micha Drukker, Andrew Lee, Ronald A. Li, Sanjiv S. Gambhir, Irving L. Weissman, Robert C. Robbins, Joseph C. Wu

Abstract

Human embryonic stem cells (hESCs) can serve as a potentially limitless source of cells that may enable regeneration of diseased tissue and organs. Here we investigate the use of human embryonic stem cell-derived cardiomyocytes (hESC-CMs) in promoting recovery from cardiac ischemia reperfusion injury in a mouse model. Using microarrays, we have described the hESC-CM transcriptome within the spectrum of changes that occur between undifferentiated hESCs and fetal heart cells. The hESC-CMs expressed cardiomyocyte genes at levels similar to those found in 20-week fetal heart cells, making this population a good source of potential replacement cells in vivo. Echocardiographic studies showed significant improvement in heart function by 8 weeks after transplantation. Finally, we demonstrate long-term engraftment of hESC-CMs by using molecular imaging to track cellular localization, survival, and proliferation in vivo. Taken together, global gene expression profiling of hESC differentiation enables a systems-based analysis of the biological processes, networks, and genes that drive hESC fate decisions, and studies such as this will serve as the foundation for future clinical applications of stem cell therapies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
Germany 2 <1%
Portugal 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
France 1 <1%
Belgium 1 <1%
Canada 1 <1%
Unknown 201 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 29%
Researcher 48 22%
Student > Master 21 10%
Professor > Associate Professor 18 8%
Student > Bachelor 13 6%
Other 37 17%
Unknown 18 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 101 47%
Biochemistry, Genetics and Molecular Biology 36 17%
Medicine and Dentistry 19 9%
Engineering 19 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 16 7%
Unknown 21 10%