Literature DB >> 18642240

Cell cycle model to describe animal cell size variation and lag between cell number and biomass dynamics.

L K Nielsen1, S Reid, P F Greenfield.   

Abstract

The use of cell numbers rather than mass to quantify the size of the biotic phase in animal cell cultures causes several problems. First, the cell size varies with growth conditions, thus yields expressed in terms of cell numbers cannot be used in the normal mass balance sense. Second, experience from microbial systems shows that cell number dynamics lag behind biomass dynamics. This work demonstrates that this lag phenomenon also occurs in animal cell culture. Both the lag phenomenon and the variation in cell size are explained using a simple model of the cell cycle. The basis for the model is that onset of DNA synthesis requires accumulation of G1 cyclins to a prescribed level. This requirement is translated into a requirement for a cell to reach a critical size before commencement of DNA synthesis. A slower growing cell will spend more time in G1 before reaching the critical mass. In contrast, the period between onset of DNA synthesis and mitosis, tau(B), is fixed. The two parameters in the model, the critical size and tau(B), were determined from eight steady-state measurements of mean cell size in a continuous hybridoma culture. Using these parameters, it was possible to predict with reasonable accuracy the transient behavior in a separate shift-up culture, i.e., a culture where cells were transferred from a lean environment to a rich environment. The implications for analyzing experimental data for animal cell culture are discussed. (c) 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 56: 372-379, 1997.

Year:  1997        PMID: 18642240     DOI: 10.1002/(SICI)1097-0290(19971120)56:4<372::AID-BIT3>3.0.CO;2-L

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  4 in total

1.  Quantitative characterization of metabolism and metabolic shifts during growth of the new human cell line AGE1.HN using time resolved metabolic flux analysis.

Authors:  Jens Niklas; Eva Schräder; Volker Sandig; Thomas Noll; Elmar Heinzle
Journal:  Bioprocess Biosyst Eng       Date:  2010-12-25       Impact factor: 3.210

2.  Three-dimensional cell cycle model with distributed transcription and translation.

Authors:  K J Rounseville; P C Chau
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

3.  Glycolysis is governed by growth regime and simple enzyme regulation in adherent MDCK cells.

Authors:  Markus Rehberg; Joachim B Ritter; Udo Reichl
Journal:  PLoS Comput Biol       Date:  2014-10-16       Impact factor: 4.475

4.  Dynamic metabolic flux analysis using B-splines to study the effects of temperature shift on CHO cell metabolism.

Authors:  Verónica S Martínez; Maria Buchsteiner; Peter Gray; Lars K Nielsen; Lake-Ee Quek
Journal:  Metab Eng Commun       Date:  2015-06-19
  4 in total

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