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Dedifferentiation of Foetal CNS Stem Cells to Mesendoderm-Like Cells through an EMT Process

Overview of attention for article published in PLOS ONE, January 2012
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Title
Dedifferentiation of Foetal CNS Stem Cells to Mesendoderm-Like Cells through an EMT Process
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0030759
Pubmed ID
Authors

Suzan Ber, Caroline Lee, Octavian Voiculescu, M. Azim Surani

Abstract

Tissue-specific stem cells are considered to have a limited differentiation potential. Recently, this notion was challenged by reports that showed a broader differentiation potential of neural stem cells, in vitro and in vivo, although the molecular mechanisms that regulate plasticity of neural stem cells are unknown. Here, we report that neural stem cells derived from mouse embryonic cortex respond to Lif and serum in vitro and undergo epithelial to mesenchymal transition (EMT)-mediated dedifferentiation process within 48 h, together with transient upregulation of pluripotency markers and, more notably, upregulation of mesendoderm genes, Brachyury (T) and Sox17. These induced putative mesendoderm cells were injected into early gastrulating chick embryos, which revealed that they integrated more efficiently into mesoderm and endoderm lineages compared to non-induced cells. We also found that TGFβ and Jak/Stat pathways are necessary but not sufficient for the induction of mesendodermal phenotype in neural stem cells. These results provide insights into the regulation of plasticity of neural stem cells through EMT. Dissecting the regulatory pathways involved in these processes may help to gain control over cell fate decisions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Portugal 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 40%
Researcher 6 13%
Professor > Associate Professor 4 9%
Student > Master 4 9%
Professor 3 7%
Other 7 16%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 53%
Biochemistry, Genetics and Molecular Biology 8 18%
Medicine and Dentistry 6 13%
Business, Management and Accounting 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 1 2%
Unknown 4 9%