Evaluation of predictions of the stochastic model of organelle production based on exact distributions

ELife
C Jeremy Craven

Abstract

We present a reanalysis of the stochastic model of organelle production and show that the equilibrium distributions for the organelle numbers predicted by this model can be readily calculated in three different scenarios. These three distributions can be identified as standard distributions, and the corresponding exact formulae for their mean and variance can therefore be used in further analysis. This removes the need to rely on stochastic simulations or approximate formulae (derived using the fluctuation dissipation theorem). These calculations allow for further analysis of the predictions of the model. On the basis of this we question the extent to which the model can be used to conclude that peroxisome biogenesis is dominated by de novo production when Saccharomyces cerevisiae cells are grown on glucose medium.

References

Jul 13, 2005·Cell·Dominic HoepfnerHenk F Tabak
Sep 14, 2006·Journal of Cell Science·Kasinath KuraviIda J van der Klei
Jul 25, 2007·The Journal of Cell Biology·Alison M Motley, Ewald H Hettema
Dec 23, 2009·The Journal of Biological Chemistry·Sunhee JungJohn D Aitchison
Aug 1, 2013·The EMBO Journal·Barbara KnoblachRichard A Rachubinski
Dec 9, 2015·The Journal of Cell Biology·Alison M MotleyEwald H Hettema

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Citations

Sep 6, 2019·Biochemical Society Transactions·Iain G Johnston, Joerg P Burgstaller
Apr 21, 2017·PLoS Neglected Tropical Diseases·Sarah Bauer, Meredith T Morris
Oct 3, 2019·Physical Review. E·Sandeep ChoubeySaptarshi Majumdar

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