Literature DB >> 6159094

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

J Nedelman, S I Rubinow.   

Abstract

Five previously published cell generation-time distribution functions have been examined in an effort to elucidate the parameters of the two-state model of the cell cycle. These parameters are the fractional number of cells that bypass the G0 state, the probability of exit from G0, and the distribution of traversal times through the active state. To explain observed beta-curve behavior of cell populations, it is necessary to define the parameters in terms of pairwise behavior of newborn sister cells. From the beta-curve, we demonstrate that at least 50% of the cells must pass through the G0 state. The alpha-curve is consistent with any positive fraction of newborn cells passing through the G0 state, and provides no further information. We explore a possible method for resolving the remaining indeterminacy regarding the number of cells bypassing the G0 state, namely, examination of the generation-time distribution functions of fast sister cells only. Such an approach, although theoretically attractive, presents formidable experimental difficulties, however. If it should turn out that indeed only 50% of the cells are apparently passing through a random-exiting phase of the cell cycle, then an alterative plausible biological mechanism for the observed variability in generation times is supplied by Prescott's hypothesis: variability is a consequence of the inequality in the metabolic content of sister cells at birth.

Mesh:

Year:  1980        PMID: 6159094     DOI: 10.1007/BF02790450

Source DB:  PubMed          Journal:  Cell Biophys        ISSN: 0163-4992


  13 in total

1.  The regulation of cell size and the control of mitosis.

Authors:  P A Fantes; W D Grant; R H Pritchard; P E Sudbery; A E Wheals
Journal:  J Theor Biol       Date:  1975-03       Impact factor: 2.691

2.  KINETICS OF A BONE-MARROW STEM-CELL POPULATION.

Authors:  L G LAJTHA; C W GILBERT; D D PORTEOUS; R ALEXANIAN
Journal:  Ann N Y Acad Sci       Date:  1964-02-28       Impact factor: 5.691

3.  VARIATIONS IN THE GENERATION TIMES OF A STRAIN OF RAT SARCOMA CELLS IN CULTURE.

Authors:  K B DAWSON; H MADOC-JONES; E O FIELD
Journal:  Exp Cell Res       Date:  1965-04       Impact factor: 3.905

4.  Kinetic model of a bone-marrow stem-cell population.

Authors:  L G LAJTHA; R OLIVER; C W GURNEY
Journal:  Br J Haematol       Date:  1962-10       Impact factor: 6.998

5.  INTRAPOPULATION KINETICS OF THE MITOTIC CYCLE.

Authors:  J E Sisken; L Morasca
Journal:  J Cell Biol       Date:  1965-05-01       Impact factor: 10.539

6.  Do cells cycle?

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

7.  Grain count distributions in labeled cell populations.

Authors:  J L Lebowitz; S I Rubinow
Journal:  J Theor Biol       Date:  1969-04       Impact factor: 2.691

8.  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

9.  Mass, length and growth rate in single cells.

Authors:  R A Krasnow
Journal:  J Theor Biol       Date:  1978-06-20       Impact factor: 2.691

10.  Further evidence for a random transition in the cell cycle.

Authors:  R Shields
Journal:  Nature       Date:  1978-06-29       Impact factor: 49.962

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  4 in total

1.  Inference for an age-dependent, multitype branching-process model of mast cells.

Authors:  J Nedelman; H Downs; P Pharr
Journal:  J Math Biol       Date:  1987       Impact factor: 2.259

2.  Recent views on the cell cycle structure.

Authors:  A Bertuzzi; A Gandolfi
Journal:  Bull Math Biol       Date:  1983       Impact factor: 1.758

3.  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.

Authors:  J S Murphy; F R Landsberger; T Kikuchi; I Tamm
Journal:  Proc Natl Acad Sci U S A       Date:  1984-04       Impact factor: 11.205

4.  Tumor cell heterogeneity: divided-colony assay for measuring drug response.

Authors:  T Kuczek; D E Axelrod
Journal:  Proc Natl Acad Sci U S A       Date:  1987-07       Impact factor: 11.205

  4 in total

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