A Statistical View on Calcium Oscillations
Advances in Experimental Medicine and Biology, ISSN: 2214-8019, Vol: 1131, Page: 799-826
2020
- 14Citations
- 19Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations14
- Citation Indexes14
- 14
- CrossRef3
- Captures19
- Readers19
- 19
Book Chapter Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85074072959&origin=inward; http://dx.doi.org/10.1007/978-3-030-12457-1_32; http://www.ncbi.nlm.nih.gov/pubmed/31646535; http://link.springer.com/10.1007/978-3-030-12457-1_32; https://dx.doi.org/10.1007/978-3-030-12457-1_32; https://link.springer.com/chapter/10.1007/978-3-030-12457-1_32
Springer Science and Business Media LLC
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