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Modelling yeast cell growth using stochastic branching processes

Published online by Cambridge University Press:  14 July 2016

P. J. Green
P. J. Green*
Affiliation:
University of Durham
*
∗Postal address: Department of Mathematics, University of Durham, Science Laboratories, South Road, Durham DH1 3LE, U.K.
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Abstract

This paper aims to demonstrate that the general Crump–Mode–Jagers branching process may be used in a natural way to model the asymmetric growth of budding yeast cells. The models obtained are generalisations of the deterministic model proposed by Hartwell and Unger (1977): all the results that are derived in that paper may be obtained using branching-process methods, but such methods also apply when account is taken of the biologically obvious fact that the various phases of the cell growth are of random rather than fixed duration. In their full generality, branching processes involve more parameters than can be estimated by experiment, but we present below a special case in which this problem is not likely to arise.

A recent paper, Lord and Wheals (1980), discusses more of the biological background than is appropriate here. In the present paper, we show how certain statistical procedures for our model may be developed.

Keywords

GENERAL BRANCHING PROCESSRANDOM CHARACTERISTICBUDDING YEASTASYMMETRIC DIVISIONCELL PHASE COUNTS
Type
Research Papers
Information
Journal of Applied Probability , Volume 18 , Issue 4 , December 1981 , pp. 799 - 808
Copyright
Copyright © Applied Probability Trust 1981 

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References

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