ArticleMathematical population studies2013
A Discrete-Time Branching Process Model of Yeast Prion Curing Curves.
Article in Mathematical population studies, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- A structured model and likelihood approach to estimate yeast prion propagon replication rates and their asymmetric transmission.PLoS computational biology · 2022Article
- A unifying model for the propagation of prion proteins in yeast brings insight into the [PSI+] prion.PLoS computational biology · 2020Article
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Authors and funding
2 authors.
Funding
Abstract
The infectious agent of many neurodegenerative disorders is thought to be aggregates of prion protein, which are transmitted between cells. Recent work in yeast supports this hypothesis, but suggests that only aggregates below a critical size are transmitted efficiently. The total number of transmissible aggregates in a typical cell is a key determinant of strain infectivity. In a discrete-time branching process model of a yeast colony with prions, prion aggregates increase in size according to a Poisson process and only aggregates below a threshold size are transmitted during cell division. The total number of cells with aggregates in a growing population of yeast is expressed.
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