Fast solver for diffusive transport times on dynamic intracellular networks

Autor:	Elam, Lachlan, Quiñones-Frías, Mónica C., Zhang, Ying, Rodal, Avital A., Fai, Thomas G.
Rok vydání:	2022
Předmět:	Physics - Biological Physics Condensed Matter - Soft Condensed Matter Quantitative Biology - Quantitative Methods Quantitative Biology - Subcellular Processes
Zdroj:	SIAM J. Appl. Mat., 84(3), S476-S492, 2024
Druh dokumentu:	Working Paper
DOI:	10.1137/22M1509308
Popis:	The transport of particles in cells is influenced by the properties of intracellular networks they traverse while searching for localized target regions or reaction partners. Moreover, given the rapid turnover in many intracellular structures, it is crucial to understand how temporal changes in the network structure affect diffusive transport. In this work, we use network theory to characterize complex intracellular biological environments across scales. We develop an efficient computational method to compute the mean first passage times for simulating a particle diffusing along two-dimensional planar networks extracted from fluorescence microscopy imaging. We first benchmark this methodology in the context of synthetic networks, and subsequently apply it to live-cell data from endoplasmic reticulum tubular networks. Comment: 18 pages, 11 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2207.07682 Zobrazit plný text záznamu View this record from Arxiv