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The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Acentriolar mitosis activates a p53-dependent apoptosis pathway in the mouse embryo

Open access
Bazzi, Hisham, Anderson, Kathryn V.·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: Centrioles form the core of centrosomes, which organize cilia and interphase and spindle microtubules in animal cells, but centrosome function has not been defined in mammals in vivo. We show that mouse embryos that lack centrioles and centrosomes survive to midgestation, when they lack primary cilia and cilia-dependent signaling. Despite the absence of centrosomes, bipolar spindle formation, chromosome segregation, cell-cycle profile, and DNA damage response are normal in the mutants. Unlike mutants that lack cilia, most cells in acentriolar embryos activate a p53-dependent apoptotic pathway. The data show that mammalian centrioles promote the efficient and rapid assembly of the mitotic spindle and that a short delay in prometaphase activates a checkpoint that leads to p53-dependent cell death in vivo.

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Crossref · 10.1073/pnas.1400568111

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Metadata

Authors
Bazzi, H., & Anderson, K. V.
Venue
Proceedings of the National Academy of Sciences
Published
2014-03-31
Volume
111
Issue
15
Pages
E1491-500
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2078873544
Cited by
194
References
8
FWCI
9.58
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Acentriolar mitosis activates a p53-dependent apoptosis pathway in the mouse embryo. https://app.cochat.ai/papers/10.1073/pnas.1400568111
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Bazzi, H., & Anderson, K. V. (2014). Acentriolar mitosis activates a p53-dependent apoptosis pathway in the mouse embryo. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1400568111

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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.