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Philosophical Transactions of the Royal Society B Biological Sciences
Article . 2011 . Peer-reviewed
License: Royal Society Data Sharing and Accessibility
Data sources: Crossref
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Transcription factor heterogeneity and epiblast pluripotency

Authors: Osorno, R.; Chambers, I.;

Transcription factor heterogeneity and epiblast pluripotency

Abstract

Stem cells are defined by the simultaneous possession of the seemingly incongruent properties of self-renewal and multi-lineage differentiation potential. To maintain a stem cell population, these opposing forces must be balanced. Transcription factors that function to direct pluripotent cell identity are not all equally distributed throughout the pluripotent cell population. While Oct4 levels are relatively homogeneous, other transcription factors, such as Nanog, are more heterogeneously expressed. Moreover, Oct4 positive cells fluctuate between states of high Nanog expression associated with a high probability of self-renewal and low Nanog expression associated with an increased propensity to differentiate. As embryonic stem (ES) cells transit to the more developmentally advanced epiblast stem cell (EpiSC) state, the levels of pluripotency transcription factors are modulated. Such modulations are blunted in cells that overexpress Nanog and this may underlie the resistance of Nanog-overexpressing cells to transit to an EpiSC state. Interestingly, increasing the levels of Nanog in EpiSC can facilitate reversion to the ES cell state. Together these observations suggest that Nanog lies close to the top of the hierarchy of pluripotent transcription factor regulation.

Related Organizations
Keywords

Pluripotent Stem Cells, Gene Expression Regulation, Animals, Octamer Transcription Factor-3

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
bronze