Article (Scientific journals)
A Statistical View on Calcium Oscillations.
Powell, Jake; Falcke, Martin; Skupin, Alexander et al.
2020In Advances in experimental medicine and biology, 1131, p. 799--826
Peer reviewed
 

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Keywords :
Bayes Theorem; Calcium; metabolism; Calcium Channels; Calcium Signaling; HEK293 Cells; Humans; Models; Biological; Bayesian inference; Calcium spikes; Heterogeneous cell populations; Intensity functions 0121103
Abstract :
[en] 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.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Powell, Jake
Falcke, Martin
Skupin, Alexander  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Bellamy, Tomas C.
Kypraios, Theodore
Thul, Rüdiger
External co-authors :
yes
Language :
English
Title :
A Statistical View on Calcium Oscillations.
Publication date :
2020
Journal title :
Advances in experimental medicine and biology
ISSN :
0065-2598
Volume :
1131
Pages :
799--826
Peer reviewed :
Peer reviewed
Focus Area :
Systems Biomedicine
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