Unknown

Dataset Information

0

Information transmission in a cell monolayer: A numerical study.


ABSTRACT: Motivated by the spatiotemporal waves of MAPK/ERK activity, crucial for long-range communication in regenerating tissues, we investigated stochastic homoclinic fronts propagating through channels formed by directly interacting cells. We evaluated the efficiency of long-range communication in these channels by examining the rate of information transmission. Our study identified the stochastic phenomena that reduce this rate: front propagation failure, new front spawning, and variability in the front velocity. We found that a trade-off between the frequencies of propagation failures and new front spawning determines the optimal channel width (which geometrically determines the front length). The optimal frequency of initiating new waves is determined by a trade-off between the input information rate (higher with more frequent initiation) and the fidelity of information transmission (lower with more frequent initiation). Our analysis provides insight into the relative timescales of intra- and intercellular processes necessary for successful wave propagation.

SUBMITTER: Nalecz-Jawecki P 

PROVIDER: S-EPMC11902151 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Information transmission in a cell monolayer: A numerical study.

Nałęcz-Jawecki Paweł P   Szyc Przemysław P   Grabowski Frederic F   Kochańczyk Marek M   Lipniacki Tomasz T  

PLoS computational biology 20250221 2


Motivated by the spatiotemporal waves of MAPK/ERK activity, crucial for long-range communication in regenerating tissues, we investigated stochastic homoclinic fronts propagating through channels formed by directly interacting cells. We evaluated the efficiency of long-range communication in these channels by examining the rate of information transmission. Our study identified the stochastic phenomena that reduce this rate: front propagation failure, new front spawning, and variability in the fr  ...[more]

Similar Datasets

2017-04-24 | GSE83528 | GEO
| S-EPMC8791497 | biostudies-literature
| S-EPMC6893024 | biostudies-literature
| S-EPMC11262987 | biostudies-literature
| PRJEB2104 | ENA
| PRJEB97518 | ENA
| S-EPMC12698722 | biostudies-literature
| S-EPMC5507728 | biostudies-literature
2022-10-23 | GSE159943 | GEO
2020-09-03 | GSE119917 | GEO