Literature DB >> 6585804

Occurrence of cell division is not exponentially distributed: differences in the generation times of sister cells can be derived from the theory of survival of populations.

J S Murphy, F R Landsberger, T Kikuchi, I Tamm.   

Abstract

The Eyring-Stover survival theory has been applied to the kinetics of the distribution of intermitotic intervals of mammalian cells and by inference to the transition from the G1 phase into DNA synthesis (S phase). The theory faithfully fits experimental data acquired by time-lapse cinemicrography of cloned HeLa cells in tissue culture and also suggests the existence of a labile initiator substance which mediates the G1-S phase transition. This theory provides an alternative to the transition probability model proposed by Smith and Martin [Smith J. A. & Martin, L. (1973) Proc. Natl. Acad. Sci. USA 70, 1263-1267; see also Shields, R. & Smith, J. A. (1977) J. Cell Physiol. 91, 345-355 and Brooks, R. F., Bennett, D. C. & Smith, J. A. (1980) Cell 19, 493-504].

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Mesh:

Year:  1984        PMID: 6585804      PMCID: PMC345063          DOI: 10.1073/pnas.81.8.2379

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  16 in total

1.  Kinetics of desynchronization and distribution of generation times in synchronized cell populations.

Authors:  J S Murphy; R D'Alisa; E L Gershey; F R Landsberger
Journal:  Proc Natl Acad Sci U S A       Date:  1978-09       Impact factor: 11.205

2.  The dynamics of life: aging.

Authors:  H Eyring; B J Stover
Journal:  Proc Natl Acad Sci U S A       Date:  1972-12       Impact factor: 11.205

3.  Do cells cycle?

Authors:  J A Smith; L Martin
Journal:  Proc Natl Acad Sci U S A       Date:  1973-04       Impact factor: 11.205

4.  Inhibition of DNA synthesis in synchronized Chinese hamster cells treated in G1 with cycloheximide.

Authors:  M H Schneiderman; W C Dewey; D P Highfield
Journal:  Exp Cell Res       Date:  1971-07       Impact factor: 3.905

5.  The dynamics of life. V. Applying the steady-state theory of mutations to human cancer.

Authors:  H Eyring; B J Stover; R A Brown
Journal:  Proc Natl Acad Sci U S A       Date:  1971-08       Impact factor: 11.205

6.  Investigation into the experimental kinetic support of the two-state model of the cell cycle.

Authors:  J Nedelman; S I Rubinow
Journal:  Cell Biophys       Date:  1980-09

7.  Cells regulate their proliferation through alterations in transition probability.

Authors:  R Shields; J A Smith
Journal:  J Cell Physiol       Date:  1977-06       Impact factor: 6.384

8.  Control of nuclear division in Physarum polycephalum: Comparison of cycloheximide pulse treatment, uv irradiation, and heat shock.

Authors:  J Tyson; G Garcia-Herdugo; W Sachsenmaier
Journal:  Exp Cell Res       Date:  1979-03-01       Impact factor: 3.905

9.  Mammalian cell cycles need two random transitions.

Authors:  R F Brooks; D C Bennett; J A Smith
Journal:  Cell       Date:  1980-02       Impact factor: 41.582

10.  Detection of a common feature in several human tumor cell lines--a 53,000-dalton protein.

Authors:  L V Crawford; D C Pim; E G Gurney; P Goodfellow; J Taylor-Papadimitriou
Journal:  Proc Natl Acad Sci U S A       Date:  1981-01       Impact factor: 11.205

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  5 in total

1.  A comprehensive continuous-time model for the appearance of CGH signal due to chromosomal missegregations during mitosis.

Authors:  Richard Desper; Michael J Difilippantonio; Thomas Ried; Alejandro A Schäffer
Journal:  Math Biosci       Date:  2005-09       Impact factor: 2.144

2.  Multiple cell and population-level interactions with mouse embryonic stem cell heterogeneity.

Authors:  Danielle Cannon; Adam M Corrigan; Agnes Miermont; Patrick McDonel; Jonathan R Chubb
Journal:  Development       Date:  2015-07-24       Impact factor: 6.868

3.  Asymmetric division events promote variability in cell cycle duration in animal cells and Escherichia coli.

Authors:  Ulrich Berge; Daria Bochenek; Ralf Schnabel; Arne Wehling; Timm Schroeder; Tanja Stadler; Ruth Kroschewski
Journal:  Nat Commun       Date:  2019-04-23       Impact factor: 14.919

4.  Fluctuation analysis: can estimates be trusted?

Authors:  Bernard Ycart
Journal:  PLoS One       Date:  2013-12-09       Impact factor: 3.240

Review 5.  Quantitative Studies for Cell-Division Cycle Control.

Authors:  Yukinobu Arata; Hiroaki Takagi
Journal:  Front Physiol       Date:  2019-08-19       Impact factor: 4.566

  5 in total

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