Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.mbs.2013.04.005
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dc.titleA dynamic model for intracellular calcium response in fibroblasts induced by electrical stimulation
dc.contributor.authorSun, G.-X.
dc.contributor.authorWang, L.-J.
dc.contributor.authorXiang, C.
dc.contributor.authorQin, K.-R.
dc.date.accessioned2014-10-07T04:22:36Z
dc.date.available2014-10-07T04:22:36Z
dc.date.issued2013-07
dc.identifier.citationSun, G.-X., Wang, L.-J., Xiang, C., Qin, K.-R. (2013-07). A dynamic model for intracellular calcium response in fibroblasts induced by electrical stimulation. Mathematical Biosciences 244 (1) : 47-57. ScholarBank@NUS Repository. https://doi.org/10.1016/j.mbs.2013.04.005
dc.identifier.issn00255564
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/81864
dc.description.abstractRegulation of intracellular calcium ion concentration ([Ca2+]in) in fibroblasts induced by exogenous electrical stimulation could be applied to control gene expressions selectively which in turn modulate the function of the fibroblasts. Regarding the mechanism for electric-field-induced Ca2+ influx via voltage-gated Ca2+ channels and/or stretch-activated cation channels in the fibroblasts, a dynamic mathematical model is proposed to quantify the [Ca2+]in dynamics in response to direct current or alternating current electric fields. Simulation results demonstrate that the changes in [Ca2+]in predicted by our dynamic model are consistent with the experimental data in the literature. The proposed dynamic model could provide not only more insights into the electric-field-induced intracellular Ca2+ response but also a quantitative way to regulate the [Ca2+]in dynamics by controlling the external electrical stimulation. © 2013 Elsevier Inc.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.mbs.2013.04.005
dc.sourceScopus
dc.subjectCalcium ion channels
dc.subjectDynamic model
dc.subjectElectrical stimulation
dc.subjectFibroblasts
dc.subjectIntracellular calcium ion concentration
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/j.mbs.2013.04.005
dc.description.sourcetitleMathematical Biosciences
dc.description.volume244
dc.description.issue1
dc.description.page47-57
dc.description.codenMABIA
dc.identifier.isiut000320747800006
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