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- W2463546937 endingPage "768" @default.
- W2463546937 startingPage "758" @default.
- W2463546937 abstract "Pluripotency can be considered a functional characteristic of pluripotent stem cells (PSCs) populations and their niches, rather than a property of individual cells. In this view, individual cells within the population independently adopt a variety of different expression states, maintained by different signaling, transcriptional, and epigenetics regulatory networks. In this review, we propose that generation of integrative network models from single cell data will be essential for getting a better understanding of the regulation of self‐renewal and differentiation. In particular, we suggest that the identification of network stability determinants in these integrative models will provide important insights into the mechanisms mediating the transduction of signals from the niche, and how these signals can trigger differentiation. In this regard, the differential use of these stability determinants in subpopulation‐specific regulatory networks would mediate differentiation into different cell fates. We suggest that this approach could offer a promising avenue for the development of novel strategies for increasing the efficiency and fidelity of differentiation, which could have a strong impact on regenerative medicine." @default.
- W2463546937 created "2016-07-22" @default.
- W2463546937 creator A5075664103 @default.
- W2463546937 creator A5081867406 @default.
- W2463546937 date "2016-06-19" @default.
- W2463546937 modified "2023-10-16" @default.
- W2463546937 title "Modeling heterogeneity in the pluripotent state: A promising strategy for improving the efficiency and fidelity of stem cell differentiation" @default.
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