Helmholtz Gemeinschaft

Search
Browse
Statistics
Feeds

A statistical view on calcium oscillations

Item Type:Article
Title:A statistical view on calcium oscillations
Creators Name:Powell, J. and Falcke, M. and Skupin, A. and Bellamy, T.C. and Kypraios, T. and Thul, R.
Abstract:Transient rises and falls of the intracellular calcium concentration have been observed in numerous cell types and under a plethora of conditions. There is now a growing body of evidence that these whole-cell calcium oscillations are stochastic, which poses a significant challenge for modelling. In this review, we take a closer look at recently developed statistical approaches to calcium oscillations. These models describe the timing of whole-cell calcium spikes, yet their parametrisations reflect subcellular processes. We show how non-stationary calcium spike sequences, which e.g. occur during slow depletion of intracellular calcium stores or in the presence of time-dependent stimulation, can be analysed with the help of so-called intensity functions. By utilising Bayesian concepts, we demonstrate how values of key parameters of the statistical model can be inferred from single cell calcium spike sequences and illustrate what information whole-cell statistical models can provide about the subcellular mechanistic processes that drive calcium oscillations. In particular, we find that the interspike interval distribution of HEK293 cells under constant stimulation is captured by a Gamma distribution.
Keywords:Calcium Spikes, Bayesian Inference, Intensity Functions, Heterogeneous Cell Populations
Source:Advances in Experimental Medicine and Biology
Series Name:Advances in Experimental Medicine and Biology
Title of Book:Calcium signaling
ISSN:0065-2598
ISBN:978-3-030-12456-4
Publisher:Springer
Volume:1131
Page Range:799-826
Date:2020
Additional Information:Copyright © 2020 Springer Nature Switzerland AG
Official Publication:https://doi.org/10.1007/978-3-030-12457-1_32
External Fulltext:View full text on external repository or document server
PubMed:View item in PubMed

Repository Staff Only: item control page

Open Access
MDC Library