Literature DB >> 7066960

Kinetics of protein and DNA synthesis studied by mathematical modelling of flow cytometric protein and DNA histograms.

T Lindmo.   

Abstract

Mathematical models for histograms of cellular protein content as measured by flow cytometry were developed, based on theoretical protein distributions. These were derived from the age distribution of cells and the accumulation function for cellular protein content as a function of age within the cell cycle. A model assuming an exponential age distribution and an exponential protein accumulation function was found to give the best representation of protein histograms of exponentially growing NHIK 3025 cells. This is in good agreement with the known kinetic behaviour of such cells. By the combined use of the protein histogram model and a similar model for DNA content, and assuming linear DNA accumulation during S, the fraction of cells in S, as a function of cellular protein content, was simulated. This function showed good agreement with values of the [3H]TdR labelling index scored in cells sorted by flow cytometry from 5-channel intervals of the protein histogram. The protein and DNA histogram models were combined into a two-dimensional model for correlated protein/DNA measurements. Comparison between simulated data and experimentally derived two-dimensional protein/DNA histograms gave further support to the cell kinetic assumptions underlying the models, but also identified some minor deviations which could not be recognized in the analysis of the one-dimensional histograms.

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Year:  1982        PMID: 7066960     DOI: 10.1111/j.1365-2184.1982.tb01038.x

Source DB:  PubMed          Journal:  Cell Tissue Kinet        ISSN: 0008-8730


  5 in total

1.  Population study of cell cycle in a continuous culture of Candida utilis.

Authors:  J Krticka; D Vraná; J Ludvík; J Votruba
Journal:  Folia Microbiol (Praha)       Date:  1990       Impact factor: 2.099

2.  The Escherichia coli baby cell column: a novel cell synchronization method provides new insight into the bacterial cell cycle.

Authors:  David Bates; Jessica Epstein; Erik Boye; Karen Fahrner; Howard Berg; Nancy Kleckner
Journal:  Mol Microbiol       Date:  2005-07       Impact factor: 3.501

3.  Comparison of autoradiography and DNA histograms in assessing S-phase cells from patients with myeloid leukemias.

Authors:  A Raza; A S Raza; K Kuliczkowski; S C Zhao; H D Preisler
Journal:  Med Oncol Tumor Pharmacother       Date:  1985

4.  Escherichia coli DNA distributions measured by flow cytometry and compared with theoretical computer simulations.

Authors:  K Skarstad; H B Steen; E Boye
Journal:  J Bacteriol       Date:  1985-08       Impact factor: 3.490

5.  Subpopulation-proteomics reveal growth rate, but not cell cycling, as a major impact on protein composition in Pseudomonas putida KT2440.

Authors:  Sarah Lieder; Michael Jahn; Jana Seifert; Martin von Bergen; Susann Müller; Ralf Takors
Journal:  AMB Express       Date:  2014-08-29       Impact factor: 3.298

  5 in total

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