Evidence map›Paper›PMID 24962706›Full record

ArticleScience signaling2014

Reliable encoding of stimulus intensities within random sequences of intracellular Ca2+ spikes.

Kevin Thurley, Stephen C Tovey, Gregor Moenke, Victoria L Prince, Abha Meena, Andrew P Thomas, Alexander Skupin, Colin W Taylor, Martin Falcke

Abstract read
In one paragraph

Article in Science signaling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

56 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Cell-cell communication: new insights and clinical implications.Signal transduction and targeted therapy · 2024
    Review
  7. Article
  8. An integrate-and-fire approach to CaBiophysical journal · 2023
    Article
  9. Maintenance of hematopoietic stem cell niche homeostasis requires gap junction-mediated calcium signaling.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Structural titration reveals CaNature communications · 2023
    Article
  11. Modeling IPBiophysical journal · 2023
    Article
  12. An integrate-and-fire approach to CaBiophysical journal · 2023
    Article
  13. Computational investigation of IPScientific reports · 2023
    Article
  14. Review
  15. Article
  16. Article
  17. KRAP tethers IPNature communications · 2021
    Article
  18. Article
  19. Article
  20. Improved bounds on entropy production in living systems.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kevin ThurleyMathematical Cell Physiology, Max Delbrück Center for Molecular Medicine, Robert Rössle Straße 10, Berlin 13125, Germany. Department of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge CB2 1PD, UK. Institute for Theoretical Biology, Charité-Universitätsmedizin Berlin, Invalidenstraße 43, Berlin 10115, Germany.
Stephen C ToveyDepartment of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge CB2 1PD, UK.
Gregor MoenkeMathematical Cell Physiology, Max Delbrück Center for Molecular Medicine, Robert Rössle Straße 10, Berlin 13125, Germany.
Victoria L PrinceDepartment of Pharmacology and Physiology, New Jersey Medical School, Rutgers, The State University of New Jersey, 185 South Orange Avenue, Newark, NJ 07103, USA.
Abha MeenaDepartment of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge CB2 1PD, UK.
Andrew P ThomasDepartment of Pharmacology and Physiology, New Jersey Medical School, Rutgers, The State University of New Jersey, 185 South Orange Avenue, Newark, NJ 07103, USA.
Alexander SkupinLuxembourg Centre for Systems Biomedicine, 7 Avenue des Hauts Fourneaux, Esch sur Alzette 4362, Luxembourg. National Center for Microscopy and Imaging Research, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Colin W TaylorDepartment of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge CB2 1PD, UK. martin.falcke@mdc-berlin.de cwt1000@cam.ac.uk.
Martin FalckeMathematical Cell Physiology, Max Delbrück Center for Molecular Medicine, Robert Rössle Straße 10, Berlin 13125, Germany. Department of Physics, Humboldt University Berlin, Newtonstraße 15, Berlin 12489, Germany. martin.falcke@mdc-berlin.de cwt1000@cam.ac.uk.

Funding

A novel ryanodine receptor in the hormonal regulation of hepatic metabolismR21DK082954 · NIDDK · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI THOMAS, ANDREW P · 2010 to 2011
$427k
Biotechnology and Biological Sciences Research Council BB/H009736Biotechnology and Biological Sciences Research Council BB/H009736/1NIDDK NIH HHS R21 DK082954Wellcome Trust 101844
6 · The paper itself

Abstract

Ca(2+) is a ubiquitous intracellular messenger that regulates diverse cellular activities. Extracellular stimuli often evoke sequences of intracellular Ca(2+) spikes, and spike frequency may encode stimulus intensity. However, the timing of spikes within a cell is random because each interspike interval has a large stochastic component. In human embryonic kidney (HEK) 293 cells and rat primary hepatocytes, we found that the average interspike interval also varied between individual cells. To evaluate how individual cells reliably encoded stimuli when Ca(2+) spikes exhibited such unpredictability, we combined Ca(2+) imaging of single cells with mathematical analyses of the Ca(2+) spikes evoked by receptors that stimulate formation of inositol 1,4,5-trisphosphate (IP3). This analysis revealed that signal-to-noise ratios were improved by slow recovery from feedback inhibition of Ca(2+) spiking operating at the whole-cell level and that they were robust against perturbations of the signaling pathway. Despite variability in the frequency of Ca(2+) spikes between cells, steps in stimulus intensity caused the stochastic period of the interspike interval to change by the same factor in all cells. These fold changes reliably encoded changes in stimulus intensity, and they resulted in an exponential dependence of average interspike interval on stimulation strength. We conclude that Ca(2+) spikes enable reliable signaling in a cell population despite randomness and cell-to-cell variability, because global feedback reduces noise, and changes in stimulus intensity are represented by fold changes in the stochastic period of the interspike interval.

Indexed as

AlgorithmsCalcium SignalingModels, BiologicalAdrenergic alpha-1 Receptor AgonistsAnimalsCalciumCarbacholCells, CulturedCholinergic AgonistsCytoplasmHEK293 CellsHepatocytesHumansInositol 1,4,5-TrisphosphatePhenylephrineRats, Sprague-DawleyAdrenergic alpha-1 Receptor AgonistsCalciumCarbacholCholinergic AgonistsInositol 1,4,5-TrisphosphatePhenylephrineReceptors, G-Protein-CoupledVasoconstrictor AgentsVasopressins

Identifiers

PMID24962706
PMCPMC4092318

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.