Literature DB >> 17425634

Approximations for expected generation number.

D J Cole1, M S Ridout, B J T Morgan, L J Byrne, M F Tuite.   

Abstract

A deterministic formula is commonly used to approximate the expected generation number of a population of growing cells. However, this can give misleading results because it does not allow for natural variation in the times that individual cells take to reproduce. Here we present more accurate approximations for both symmetric and asymmetric cell division. Based on the first two moments of the generation time distribution, these approximations are also robust. We illustrate the improved approximations using data that arise from monitoring individual yeast cells under a microscope and also demonstrate how the approximations can be used when such detailed data are not available.

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Year:  2007        PMID: 17425634     DOI: 10.1111/j.1541-0420.2007.00780.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  4 in total

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Authors:  Fabian Santiago; Suzanne Sindi
Journal:  PLoS Comput Biol       Date:  2022-07-01       Impact factor: 4.779

2.  Saddlepoint approximations to the moments of multitype age-dependent branching processes, with applications.

Authors:  O Hyrien; R Chen; M Mayer-Pröschel; M Noble
Journal:  Biometrics       Date:  2009-06-09       Impact factor: 2.571

3.  Calorie restriction reduces rDNA recombination independently of rDNA silencing.

Authors:  Michèle Riesen; Alan Morgan
Journal:  Aging Cell       Date:  2009-09-02       Impact factor: 9.304

4.  The number and transmission of [PSI] prion seeds (Propagons) in the yeast Saccharomyces cerevisiae.

Authors:  Lee J Byrne; Diana J Cole; Brian S Cox; Martin S Ridout; Byron J T Morgan; Mick F Tuite
Journal:  PLoS One       Date:  2009-03-05       Impact factor: 3.240

  4 in total

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