Correlation Engine 2.0
Clear Search sequence regions

  • calcium (7)
  • calcium spike (6)
  • carbachol (2)
  • cells (9)
  • cellular (1)
  • essential (1)
  • humans (1)
  • time factors (1)
  • Sizes of these terms reflect their relevance to your search.

    Calcium responses have been observed as spikes of the whole-cell calcium concentration in numerous cell types and are essential for translating extracellular stimuli into cellular responses. While there are several suggestions for how this encoding is achieved, we still lack a comprehensive theory. To achieve this goal it is necessary to reliably predict the temporal evolution of calcium spike sequences for a given stimulus. Here, we propose a modelling framework that allows us to quantitatively describe the timing of calcium spikes. Using a Bayesian approach, we show that Gaussian processes model calcium spike rates with high fidelity and perform better than standard tools such as peri-stimulus time histograms and kernel smoothing. We employ our modelling concept to analyse calcium spike sequences from dynamically-stimulated HEK293T cells. Under these conditions, different cells often experience diverse stimulus time courses, which is a situation likely to occur in vivo. This single cell variability and the concomitant small number of calcium spikes per cell pose a significant modelling challenge, but we demonstrate that Gaussian processes can successfully describe calcium spike rates in these circumstances. Our results therefore pave the way towards a statistical description of heterogeneous calcium oscillations in a dynamic environment.


    Agne Tilūnaitė, Wayne Croft, Noah Russell, Tomas C Bellamy, Rüdiger Thul. A Bayesian approach to modelling heterogeneous calcium responses in cell populations. PLoS computational biology. 2017 Oct;13(10):e1005794

    Expand section icon Mesh Tags

    Expand section icon Substances

    PMID: 28985235

    View Full Text