Patterns of selection against centrosome amplification in human cell lines.
Journal
PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
received:
06
03
2020
accepted:
03
02
2021
revised:
24
05
2021
pubmed:
13
5
2021
medline:
11
9
2021
entrez:
12
5
2021
Statut:
epublish
Résumé
The presence of extra centrioles, termed centrosome amplification, is a hallmark of cancer. The distribution of centriole numbers within a cancer cell population appears to be at an equilibrium maintained by centriole overproduction and selection, reminiscent of mutation-selection balance. It is unknown to date if the interaction between centriole overproduction and selection can quantitatively explain the intra- and inter-population heterogeneity in centriole numbers. Here, we define mutation-selection-like models and employ a model selection approach to infer patterns of centriole overproduction and selection in a diverse panel of human cell lines. Surprisingly, we infer strong and uniform selection against any number of extra centrioles in most cell lines. Finally we assess the accuracy and precision of our inference method and find that it increases non-linearly as a function of the number of sampled cells. We discuss the biological implications of our results and how our methodology can inform future experiments.
Identifiants
pubmed: 33979341
doi: 10.1371/journal.pcbi.1008765
pii: PCOMPBIOL-D-20-00383
pmc: PMC8143425
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1008765Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
Proc Natl Acad Sci U S A. 2015 Nov 17;112(46):E6321-30
pubmed: 26578792
Mol Biol Cell. 2020 Nov 15;31(24):2646-2656
pubmed: 32966175
Trends Genet. 2011 Aug;27(8):307-15
pubmed: 21680046
Annu Rev Cell Dev Biol. 2017 Oct 6;33:23-49
pubmed: 28813178
Philos Trans R Soc Lond B Biol Sci. 2014 Sep 5;369(1650):
pubmed: 25047621
Nat Commun. 2018 Mar 28;9(1):1258
pubmed: 29593297
Curr Biol. 2005 Dec 20;15(24):2199-207
pubmed: 16326102
Dev Cell. 2018 Nov 19;47(4):409-424.e9
pubmed: 30458137
BMC Cancer. 2016 Jan 29;16:47
pubmed: 26832928
Annu Rev Biochem. 2019 Jun 20;88:691-724
pubmed: 30601682
J Cell Biol. 2015 Jul 6;210(1):63-77
pubmed: 26150389
J Cell Biol. 2018 Jul 2;217(7):2353-2363
pubmed: 29739803
Nat Rev Mol Cell Biol. 2018 May;19(5):297-312
pubmed: 29363672
Dev Cell. 2017 Feb 6;40(3):313-322.e5
pubmed: 28132847
BMC Evol Biol. 2005 Aug 17;5:44
pubmed: 16107214
Nature. 2014 Jun 5;510(7503):167-71
pubmed: 24739973
Curr Opin Cell Biol. 2012 Feb;24(1):4-13
pubmed: 22321829
Science. 2015 Jun 5;348(6239):1155-60
pubmed: 25931445
Nat Rev Cancer. 2019 Jan;19(1):32-45
pubmed: 30523339
Genes Dev. 2017 Jan 1;31(1):34-45
pubmed: 28130345
Nat Rev Cancer. 2015 Nov;15(11):639-52
pubmed: 26493645
PLoS One. 2009 Aug 10;4(8):e6564
pubmed: 19668340
Nature. 2009 Jul 9;460(7252):278-82
pubmed: 19506557
Dev Cell. 2019 May 6;49(3):325-331
pubmed: 31063752
Mol Biol Cell. 2019 Mar 21;30(7):811-819
pubmed: 30699045
Curr Biol. 2010 Jul 27;20(14):1277-82
pubmed: 20656208
Chromosome Res. 2016 Jan;24(1):105-26
pubmed: 26645976
Int J Biol Sci. 2011;7(8):1122-44
pubmed: 22043171
Nat Cell Biol. 2016 Jan;18(1):100-10
pubmed: 26595384
J Cell Sci. 2012 Mar 1;125(Pt 5):1342-52
pubmed: 22349698
Elife. 2014 Jun 10;3:e02678
pubmed: 24916159
Genes Dev. 2008 Aug 15;22(16):2189-203
pubmed: 18662975
Curr Biol. 2010 Sep 28;20(18):R816-25
pubmed: 20869612
Dev Cell. 2007 Aug;13(2):203-13
pubmed: 17681132
Dev Cell. 2015 Oct 26;35(2):222-35
pubmed: 26481051
Naturwissenschaften. 1971 Oct;58(10):465-523
pubmed: 4942363
Elife. 2020 Apr 29;9:
pubmed: 32347795
Sci Rep. 2020 Jun 4;10(1):9152
pubmed: 32499568