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Non-linear analysis of a model for yeast cell communication
Author(s) -
Vincent Cálvez,
Thomas Lepoutre,
Nicolas Meunier,
Nicolás Müller
Publication year - 2019
Publication title -
esaim mathematical modelling and numerical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.34
H-Index - 73
eISSN - 1290-3841
pISSN - 0764-583X
DOI - 10.1051/m2an/2019065
Subject(s) - pairwise comparison , yeast , molecular communication , stability (learning theory) , bistability , biological system , physics , computer science , chemistry , biology , biochemistry , artificial intelligence , computer network , transmitter , channel (broadcasting) , machine learning , quantum mechanics
We study the non-linear stability of a coupled system of two non-linear transport-diffusion equations set in two opposite half-lines. This system describes some aspects of yeast pairwise cellular communication, through the concentration of some protein in the cell bulk and at the cell boundary. We show that it is of bistable type, provided that the intensity of active molecular transport is large enough. We prove the non-linear stability of the most concentrated steady state, for large initial data, by entropy and comparison techniques. For small initial data we prove the self-similar decay of the molecular concentration towards zero. Informally speaking, the rise of a dialog between yeast cells requires enough active molecular transport in this model. Besides, if the cells do not invest enough in the communication with their partner, they do not respond to each other; but a sufficient initial input from each cell in the dialog leads to the establishment of a stable activated state in both cells.

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