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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The Cell-Cycle State of Stem Cells Determines Cell Fate Propensity

Open access
Pauklin, Siim, Vallier, Ludovic·2013·Cell

Abstract

Self-renewal and differentiation of stem cells are fundamentally associated with cell-cycle progression to enable tissue specification, organ homeostasis, and potentially tumorigenesis. However, technical challenges have impaired the study of the molecular interactions coordinating cell fate choice and cell-cycle progression. Here, we bypass these limitations by using the FUCCI reporter system in human pluripotent stem cells and show that their capacity of differentiation varies during the progression of their cell cycle. These mechanisms are governed by the cell-cycle regulators cyclin D1-3 that control differentiation signals such as the TGF-β-Smad2/3 pathway. Conversely, cell-cycle manipulation using a small molecule directs differentiation of hPSCs and provides an approach to generate cell types with a clinical interest. Our results demonstrate that cell fate decisions are tightly associated with the cell-cycle machinery and reveal insights in the mechanisms synchronizing differentiation and proliferation in developing tissues.

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Crossref · 10.1016/j.cell.2013.08.031

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Metadata

Authors
Pauklin, S., & Vallier, L.
Venue
Cell
Publisher
Elsevier BV
Published
2013-09
Volume
155
Issue
1
Pages
135-147
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2122986552
Cited by
623
References
5
FWCI
21.38
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The Cell-Cycle State of Stem Cells Determines Cell Fate Propensity. https://app.cochat.ai/papers/10.1016/j.cell.2013.08.031
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Pauklin, S., & Vallier, L. (2013). The Cell-Cycle State of Stem Cells Determines Cell Fate Propensity. Cell. https://doi.org/10.1016/j.cell.2013.08.031

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.