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Updated: Aug 16, 2026

Investigating the Spreading and Toxicity of Prion-like Proteins Using the Metazoan Model Organism C. elegans
Published on: January 8, 2015
Models for yeast prions
B J T Morgan1, M S Ridout, L W Ruddock
1Institute of Mathematics and Statistics, University of Kent, Canterbury, Kent CT2 7NF, England. B.J.T.Morgan@ukc.ac.uk
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 priori replication is inhibited. One feature of scientific interest is the unknown mean number, n0, 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 n0 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.
Insights
Researchers developed new stochastic models to estimate the initial number of yeast prions ([PSI+]). These models provide higher estimates than previous analyses, advancing prion disease research.
Area of Science:
- Biochemistry
- Genetics
- Cell Biology
Background:
- The yeast Saccharomyces cerevisiae possesses a cytoplasmic heritable element called [PSI+], which exhibits prion-like characteristics.
- Studying yeast prions aids in understanding mammalian prions linked to neurodegenerative diseases like Creutzfeldt-Jakob disease.
Purpose of the Study:
- To develop and apply stochastic models for estimating the mean number of prions (n0) in yeast cells at the start of an experiment.
- To provide more accurate estimates of n0 compared to previous analyses.
Main Methods:
- Development of several stochastic models to describe prion replication and distribution in yeast cells.
- Fitting these models to experimental data on the decrease in prion-containing cells over time.
Main Results:
- Substantially larger estimates for the initial mean number of prions (n0) were obtained.
- A model with constant cell generation times predicted prion proportion dynamics as linked hyperbolic curves.
Conclusions:
- The developed stochastic models offer improved estimation of initial prion numbers in yeast.
- Future research should explore models that relax simplifying assumptions, and experimental designs should be refined.
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