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ZFX Controls the Self-Renewal of Human Embryonic Stem Cells

Overview of attention for article published in PLOS ONE, August 2012
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Title
ZFX Controls the Self-Renewal of Human Embryonic Stem Cells
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042302
Pubmed ID
Authors

Sivan Harel, Edmund Y. Tu, Stuart Weisberg, Manuel Esquilin, Stuart M. Chambers, Becky Liu, Christian T. Carson, Lorenz Studer, Boris Reizis, Mark J. Tomishima

Abstract

Embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) offer great promise in regenerative medicine and disease modeling due to their unlimited self-renewal and broad differentiation capacity. There is evidence that the growth properties and critical signaling pathways differ between murine and human ESCs; therefore, it is essential to perform functional studies to test the putatively conserved mechanisms of pluripotent stem cell self-renewal between species. Previously, we identified the transcription factor Zfx as a key regulator of self-renewal in murine ESCs. Here we extend those findings to human ESCs. ZFX knockdown in hESCs hindered clonal growth and decreased colony size after serial replating. ZFX overexpression enhanced clone formation in the presence of Y-27632, increased colony size at low density and decreased expression of differentiation-related genes in human ESCs. ZFX-overexpressing hESCs resisted spontaneous differentiation but could be directed to differentiate into endodermal and neural cell fates when provided with the appropriate cues. Thus, ZFX acts as a molecular rheostat regulating the balance between self-renewal and differentiation in hESCs, revealing the close evolutionary conservation of the self-renewal mechanisms in murine and human ESCs.

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Geographical breakdown

Country Count As %
Portugal 1 2%
France 1 2%
Australia 1 2%
China 1 2%
United States 1 2%
Unknown 43 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 6 13%
Student > Bachelor 5 10%
Professor 5 10%
Student > Master 4 8%
Other 6 13%
Unknown 9 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 52%
Biochemistry, Genetics and Molecular Biology 9 19%
Computer Science 3 6%
Immunology and Microbiology 2 4%
Neuroscience 2 4%
Other 1 2%
Unknown 6 13%