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Cited by 437

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

The Nature of Embryonic Stem Cells

Open access
Martello, Graziano, Smith, Austin·2014·Annual Review of Cell and Developmental Biology

Abstract

Mouse embryonic stem (ES) cells perpetuate in vitro the broad developmental potential of naïve founder cells in the preimplantation embryo. ES cells self-renew relentlessly in culture but can reenter embryonic development seamlessly, differentiating on schedule to form all elements of the fetus. Here we review the properties of these remarkable cells. Arising from the stability, homogeneity, and equipotency of ES cells, we consider the concept of a pluripotent ground state. We evaluate the authenticity of ES cells in relation to cells in the embryo and examine their utility for dissecting mechanisms that confer pluripotency and that execute fate choice. We summarize current knowledge of the transcription factor circuitry that governs the ES cell state and discuss the opportunity to expose molecular logic further through iterative computational modeling and experimentation. Finally, we present a perspective on unresolved questions, including the challenge of deriving ground state pluripotent stem cells from non-rodent species.

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Crossref · 10.1146/annurev-cellbio-100913-013116

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Metadata

Authors
Martello, G., & Smith, A.
Venue
Annual Review of Cell and Developmental Biology
Published
2014-10-11
Volume
30
Issue
1
Pages
647-675
ISSN
  • 1081-0706 (ISSN-L)
  • 1530-8995
OpenAlex
W2165996867
Cited by
437
References
13
FWCI
2.48
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Nature of Embryonic Stem Cells. https://app.cochat.ai/papers/10.1146/annurev-cellbio-100913-013116
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Martello, G., & Smith, A. (2014). The Nature of Embryonic Stem Cells. Annual Review of Cell and Developmental Biology. https://doi.org/10.1146/annurev-cellbio-100913-013116

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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.