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Models for yeast prions

Morgan, Byron J. T., Ridout, Martin S., Ruddock, Lloyd W. (2003) Models for yeast prions. Biometrics, 59 (3). pp. 562-569. ISSN 0006-341X. (doi:10.1111/1541-0420.00066) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:677)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1111/1541-0420.00066

Abstract

The cytoplasmic heritable determinant [PSI+] of the yeast Saccharomyces cerevisiae exhibits prion-like properties. The properties of yeast prions are studied in the hope that this will enhance the understanding of mammalian prions, which cause mad-cow, Creutzfeldt-Jakob, and related neurodegenerative diseases. When host cells divide, the yeast prions distribute themselves without loss over the daughter cells. Experimental data provide information on how the proportion of cells with prions decreases over time when prion replication is inhibited. One feature of scientific interest is the unknown mean number, n(0), of prions assumed to be present in the cells at the start of the experiment. We develop several stochastic models and by fitting them to the data, we obtain substantially larger estimates of n(0) compared with a previous analysis. An interesting feature of a model with constant cell generation times is that the predicted proportion of cells with prions varies over time as a sequence of linked hyperbolic curves. Avenues for future research are outlined, which relax simplifying assumptions made in the models. We make several recommendations for the design of future experiments.

Item Type: Article
DOI/Identification number: 10.1111/1541-0420.00066
Uncontrolled keywords: binomial distribution; cell generation time distributions; curing curves; experimental design; gamma distribution; linked hyperbolic curves; multiple optima; survival
Subjects: H Social Sciences > HA Statistics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Judith Broom
Date Deposited: 19 Dec 2007 18:25 UTC
Last Modified: 16 Nov 2021 09:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/677 (The current URI for this page, for reference purposes)

University of Kent Author Information

Morgan, Byron J. T..

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Ridout, Martin S..

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Ruddock, Lloyd W..

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