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New Insights into the Mechanisms of Embryonic Stem Cell Self-Renewal under Hypoxia: A Multifactorial Analysis Approach

Overview of attention for article published in PLOS ONE, June 2012
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Title
New Insights into the Mechanisms of Embryonic Stem Cell Self-Renewal under Hypoxia: A Multifactorial Analysis Approach
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038963
Pubmed ID
Authors

Hélder S. C. Barbosa, Tiago G. Fernandes, Tiago P. Dias, Maria Margarida Diogo, Joaquim M. S. Cabral

Abstract

Previous reports have shown that culturing mouse embryonic stem (mES) cells at different oxygen tensions originated different cell proliferation patterns and commitment stages depending on which signaling pathways are activated or inhibited to support the pluripotency state. Herein we provide new insights into the mechanisms by which oxygen is influencing mES cell self-renewal and pluripotency. A multifactorial approach was developed to rationally evaluate the singular and interactive control of MEK/ERK pathway, GSK-3 inhibition, and LIF/STAT3 signaling at physiological and non-physiological oxygen tensions. Collectively, our methodology revealed a significant role of GSK-3-mediated signaling towards maintenance of mES cell pluripotency at lower O(2) tensions. Given the central role of this signaling pathway, future studies will need to focus on the downstream mechanisms involved in ES cell self-renewal under such conditions, and ultimately how these findings impact human models of pluripotency.

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Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Portugal 1 2%
Canada 1 2%
Australia 1 2%
Unknown 59 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 27%
Student > Master 14 22%
Researcher 8 13%
Student > Bachelor 4 6%
Student > Doctoral Student 3 5%
Other 9 14%
Unknown 9 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 38%
Biochemistry, Genetics and Molecular Biology 11 17%
Medicine and Dentistry 6 9%
Engineering 5 8%
Chemical Engineering 2 3%
Other 5 8%
Unknown 11 17%