Lopez-Caamal, Fernando and Oyarzún, Diego A. and Middleton, Richard H. and García, Míriam R. (2014) Spatial Quantification of Cytosolic Ca2þ Accumulation in Nonexcitable Cells: An Analytical Study. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11 (3). pp. 592-603. ISSN 1545-5963

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Abstract

Calcium ions act as messengers in a broad range of processes such as learning, apoptosis, and muscular movement. The transient profile and the temporal accumulation of calcium signals have been suggested as the two main characteristics in which calcium cues encode messages to be forwarded to downstream pathways. We address the analytical quantification of calcium temporal-accumulation in a long, thin section of a nonexcitable cell by solving a boundary value problem. In these expressions we note that the cytosolic Ca2þ accumulation is independent of every intracellular calcium flux and depends on the Ca2þ exchange across the membrane, cytosolic calcium diffusion, geometry of the cell, extracellular calcium perturbation, and initial concentrations. In particular, we analyse the time-integrated response of cytosolic calcium due to i) a localised initial concentration of cytosolic calcium and ii) transient extracellular perturbation of calcium. In these scenarios, we conclude that i) the range of calcium progression is confined to the vicinity of the initial concentration, thereby creating calcium microdomains; and ii) we observe a low-pass filtering effect in the response driven by extracellular Ca2þ perturbations. Additionally, we note that our methodology can be used to analyse a broader range of stimuli and scenarios.

Item Type:	Article
Additional Information:	This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Keywords:	Intracellular calcium dynamics; nonlinear reaction-diffusion systems; astrocytes; exact analytical solution; Ca2þ microdomains;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	6960
Identification Number:	https://doi.org/10.1109/TCBB.2014.2316010
Depositing User:	Hamilton Editor
Date Deposited:	05 Feb 2016 17:04
Journal or Publication Title:	IEEE/ACM Transactions on Computational Biology and Bioinformatics
Publisher:	IEEE
Refereed:	Yes
URI:	http://ieeexplore.ieee.org
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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