Cited by 232Gene Regulatory Network AnalysisMicrotubule and mitosis dynamicsMathematical Biology Tumor Growth

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Dynamics extracted from fixed cells reveal feedback linking cell growth to cell cycle

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Kafri, Ran, Levy, Jason, Ginzberg, Miriam B., Oh, Seungeun, Lahav, Galit, Kirschner, Marc W.·2013·Nature

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Abstract

Biologists have long been concerned about what constrains variation in cell size, but progress in this field has been slow and stymied by experimental limitations. Here we describe a new method, ergodic rate analysis (ERA), that uses single-cell measurements of fixed steady-state populations to accurately infer the rates of molecular events, including rates of cell growth. ERA exploits the fact that the number of cells in a particular state is related to the average transit time through that state. With this method, it is possible to calculate full time trajectories of any feature that can be labelled in fixed cells, for example levels of phosphoproteins or total cellular mass. Using ERA we find evidence for a size-discriminatory process at the G1/S transition that acts to decrease cell-to-cell size variation.

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Authors: Kafri, R., Levy, J., Ginzberg, M. B., Oh, S., Lahav, G., & Kirschner, M. W.
Affiliations: Harvard University (US)
University of Ottawa (CA)
Corresponding author: Kirschner, Marc W.
ORCID: Kafri, Ran
Ginzberg, Miriam B.
Oh, Seungeun
Lahav, Galit
Kirschner, Marc W.
Venue: Nature
Publisher: Springer Science and Business Media LLC
Published: 2013-02
Volume: 494
Issue: 7438
Pages: 480-483
ISSN: 0028-0836 (ISSN-L)
1476-4687
DOI: 10.1038/nature11897
PMC: PMC3730528
OpenAlex: W2087252982
Cited by: 232
References: 11
Citations by year: 2026: 9 · 2025: 11 · 2024: 13 · 2023: 10 · 2022: 21 · 2021: 12 · 2020: 23 · 2019: 18 · 2018: 18 · 2017: 31 · 2016: 15 · 2015: 24 · 2014: 20 · 2013: 7
FWCI: 9.80
Type: journal article
Language: en
Open access: green
europepmc.org
Licence: www.springer.com/tdm (tdm)
Locations: Nature (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Funders: National Institute of General Medical Sciences (R01GM083303, R01GM026875, GM 26875)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Microtubule and mitosis dynamics
Physical Sciences › Mathematics › Modeling and Simulation › Mathematical Biology Tumor Growth
Keywords: cell size control, cell growth rate, cell cycle, G1/S transition, single-cell measurement, transit time
MeSH terms: Cell Count, Cell Cycle, Cell Line, Cycloheximide, Dimethyl Sulfoxide, HeLa Cells, Humans, Leupeptins, Phosphoproteins, G1 Phase, S Phase, Sirolimus, Feedback, Physiological, Cell Size, Cell Proliferation, Single-Cell Analysis

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Dynamics extracted from fixed cells reveal feedback linking cell growth to cell cycle

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