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Cited by 496

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Once and only once: mechanisms of centriole duplication and their deregulation in disease

Open access
Nigg, Erich A., Holland, Andrew J.·2018·Nature Reviews Molecular Cell Biology

Abstract

Centrioles are conserved microtubule-based organelles that form the core of the centrosome and act as templates for the formation of cilia and flagella. Centrioles have important roles in most microtubule-related processes, including motility, cell division and cell signalling. To coordinate these diverse cellular processes, centriole number must be tightly controlled. In cycling cells, one new centriole is formed next to each pre-existing centriole in every cell cycle. Advances in imaging, proteomics, structural biology and genome editing have revealed new insights into centriole biogenesis, how centriole numbers are controlled and how alterations in these processes contribute to diseases such as cancer and neurodevelopmental disorders. Moreover, recent work has uncovered the existence of surveillance pathways that limit the proliferation of cells with numerical centriole aberrations. Owing to this progress, we now have a better understanding of the molecular mechanisms governing centriole biogenesis, opening up new possibilities for targeting these pathways in the context of human disease.

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Metadata

Authors
Nigg, E. A., & Holland, A. J.
Venue
Nature Reviews Molecular Cell Biology
Published
2018-01-24
Volume
19
Issue
5
Pages
297-312
ISSN
  • 1471-0072 (ISSN-L)
  • 1471-0080
OpenAlex
W2789611794
Cited by
496
References
6
FWCI
5.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Once and only once: mechanisms of centriole duplication and their deregulation in disease. https://app.cochat.ai/papers/10.1038/nrm.2017.127
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Nigg, E. A., & Holland, A. J. (2018). Once and only once: mechanisms of centriole duplication and their deregulation in disease. Nature Reviews Molecular Cell Biology. https://doi.org/10.1038/nrm.2017.127

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