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Patterns of interdivision time correlations reveal hidden cell cycle factors

The time taken for cells to complete a round of cell division is a stochastic process controlled, in part, by intracellular factors. These factors can be inherited across cellular generations which gives rise to, often non-intuitive, correlation patterns in cell cycle timing between cells of differe...

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Detalles Bibliográficos
Autores principales: Hughes, Fern A, Barr, Alexis R, Thomas, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822260/
https://www.ncbi.nlm.nih.gov/pubmed/36377847
http://dx.doi.org/10.7554/eLife.80927
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author Hughes, Fern A
Barr, Alexis R
Thomas, Philipp
author_facet Hughes, Fern A
Barr, Alexis R
Thomas, Philipp
author_sort Hughes, Fern A
collection PubMed
description The time taken for cells to complete a round of cell division is a stochastic process controlled, in part, by intracellular factors. These factors can be inherited across cellular generations which gives rise to, often non-intuitive, correlation patterns in cell cycle timing between cells of different family relationships on lineage trees. Here, we formulate a framework of hidden inherited factors affecting the cell cycle that unifies known cell cycle control models and reveals three distinct interdivision time correlation patterns: aperiodic, alternator, and oscillator. We use Bayesian inference with single-cell datasets of cell division in bacteria, mammalian and cancer cells, to identify the inheritance motifs that underlie these datasets. From our inference, we find that interdivision time correlation patterns do not identify a single cell cycle model but generally admit a broad posterior distribution of possible mechanisms. Despite this unidentifiability, we observe that the inferred patterns reveal interpretable inheritance dynamics and hidden rhythmicity of cell cycle factors. This reveals that cell cycle factors are commonly driven by circadian rhythms, but their period may differ in cancer. Our quantitative analysis thus reveals that correlation patterns are an emergent phenomenon that impact cell proliferation and these patterns may be altered in disease.
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spelling pubmed-98222602023-01-07 Patterns of interdivision time correlations reveal hidden cell cycle factors Hughes, Fern A Barr, Alexis R Thomas, Philipp eLife Cell Biology The time taken for cells to complete a round of cell division is a stochastic process controlled, in part, by intracellular factors. These factors can be inherited across cellular generations which gives rise to, often non-intuitive, correlation patterns in cell cycle timing between cells of different family relationships on lineage trees. Here, we formulate a framework of hidden inherited factors affecting the cell cycle that unifies known cell cycle control models and reveals three distinct interdivision time correlation patterns: aperiodic, alternator, and oscillator. We use Bayesian inference with single-cell datasets of cell division in bacteria, mammalian and cancer cells, to identify the inheritance motifs that underlie these datasets. From our inference, we find that interdivision time correlation patterns do not identify a single cell cycle model but generally admit a broad posterior distribution of possible mechanisms. Despite this unidentifiability, we observe that the inferred patterns reveal interpretable inheritance dynamics and hidden rhythmicity of cell cycle factors. This reveals that cell cycle factors are commonly driven by circadian rhythms, but their period may differ in cancer. Our quantitative analysis thus reveals that correlation patterns are an emergent phenomenon that impact cell proliferation and these patterns may be altered in disease. eLife Sciences Publications, Ltd 2022-11-15 /pmc/articles/PMC9822260/ /pubmed/36377847 http://dx.doi.org/10.7554/eLife.80927 Text en © 2022, Hughes et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Cell Biology
Hughes, Fern A
Barr, Alexis R
Thomas, Philipp
Patterns of interdivision time correlations reveal hidden cell cycle factors
title Patterns of interdivision time correlations reveal hidden cell cycle factors
title_full Patterns of interdivision time correlations reveal hidden cell cycle factors
title_fullStr Patterns of interdivision time correlations reveal hidden cell cycle factors
title_full_unstemmed Patterns of interdivision time correlations reveal hidden cell cycle factors
title_short Patterns of interdivision time correlations reveal hidden cell cycle factors
title_sort patterns of interdivision time correlations reveal hidden cell cycle factors
topic Cell Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9822260/
https://www.ncbi.nlm.nih.gov/pubmed/36377847
http://dx.doi.org/10.7554/eLife.80927
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