Fluctuation Test with Phenotypic Switching: A Unified Stochastic Approximation Framework DOI Creative Commons

Anna Hlubinová,

Pavol Bokes, Abhyudai Singh

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Май 25, 2025

Abstract This paper examines a structurally symmetric fluctuation test experiment in which cell populations grow from single to set size before undergoing treatment. During growth, cells may acquire tolerance treatment through probabilistic events, are passed progeny. Motivated by recent research on drug microbial and cancer cells, the model also allows tolerant revert sensitive state, reflecting dynamic phenotypic switching. The master equation governing probability distribution of is solved via generating function method quasi-powers approximation. Depending parameters, be approximated stable (or its special case, normal distribution) or large deviations theory. In regime frequent switching, approach provides better agreement with numerical solutions, particularly at tails. Conversely, infrequent general distributions offer improved accuracy over Landau distribution, represents limiting case unidirectional

Язык: Английский

Identification of Core Microbial Communities and Their Influence on Flavor-Oriented Traditional Fermented Sour Cucumbers DOI
Qiang Hu,

Shuangqi Cheng,

Qian Dong

и другие.

Food Microbiology, Год журнала: 2025, Номер unknown, С. 104810 - 104810

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Fluctuation Test with Phenotypic Switching: A Unified Stochastic Approximation Framework DOI Creative Commons

Anna Hlubinová,

Pavol Bokes, Abhyudai Singh

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Май 25, 2025

Abstract This paper examines a structurally symmetric fluctuation test experiment in which cell populations grow from single to set size before undergoing treatment. During growth, cells may acquire tolerance treatment through probabilistic events, are passed progeny. Motivated by recent research on drug microbial and cancer cells, the model also allows tolerant revert sensitive state, reflecting dynamic phenotypic switching. The master equation governing probability distribution of is solved via generating function method quasi-powers approximation. Depending parameters, be approximated stable (or its special case, normal distribution) or large deviations theory. In regime frequent switching, approach provides better agreement with numerical solutions, particularly at tails. Conversely, infrequent general distributions offer improved accuracy over Landau distribution, represents limiting case unidirectional

Язык: Английский

Процитировано

0