Abstract
Ca2+ is a ubiquitous signaling ion that regulates a variety of neuronal functions by binding to and altering the state of effector proteins. Spatial relationships and temporal dynamics of Ca2+ elevations determine many cellular responses of neurons to chemical and electrical stimulation. There is a wealth of information regarding the properties and distribution of Ca2+ channels, pumps, exchangers, and buffers that participate in Ca2+ regulation. At the same time, new imaging techniques permit characterization of evoked Ca2+ signals with increasing spatial and temporal resolution. However, understanding the mechanistic link between functional properties of Ca2+ handling proteins and the stimulus-evoked Ca2+ signals they orchestrate requires consideration of the way Ca2+ handling mechanisms operate together as a system in native cells. A wide array of biophysical modeling approaches is available for studying this problem and can be used in a variety of ways. Models can be useful to explain the behavior of complex systems, to evaluate the role of individual Ca2+ handling mechanisms, to extract valuable parameters, and to generate predictions that can be validated experimentally. In this review, we discuss recent advances in understanding the underlying mechanisms of Ca2+ signaling in neurons via mathematical modeling. We emphasize the value of developing realistic models based on experimentally validated descriptions of Ca2+ transport and buffering that can be tested and refined through new experiments to develop increasingly accurate biophysical descriptions of Ca2+ signaling in neurons.
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This work was supported by the Ukrainian grant SFFR F 46.2/001 to ES.
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Saftenku, E.É., Friel, D.D. (2012). Combined Computational and Experimental Approaches to Understanding the Ca2+ Regulatory Network in Neurons. In: Islam, M. (eds) Calcium Signaling. Advances in Experimental Medicine and Biology, vol 740. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2888-2_26
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