Evidence map›Paper›PMID 15994893›Full record

ArticleBiophysical journal2005

Transition from stochastic to deterministic behavior in calcium oscillations.

Ursula Kummer, Borut Krajnc, Jürgen Pahle, Anne K Green, C Jane Dixon, Marko Marhl

Abstract read
In one paragraph

Article in Biophysical journal, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Towards the Physics of Calcium Signalling in Plants.Plants (Basel, Switzerland) · 2013
    Review
  11. Article
  12. Article
  13. Article
  14. Calcium oscillations.Cold Spring Harbor perspectives in biology · 2011
    Review
  15. Article
  16. Article
  17. Calcium signals driven by single channel noise.PLoS computational biology · 2010
    Article
  18. Complex life forms may arise from electrical processes.Theoretical biology & medical modelling · 2010
    Article
  19. Article
  20. 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

6 authors.

Ursula KummerBioinformatics and Computational Biochemistry Group, EML Research, D-69118 Heidelberg, Germany. ursula.kummer@eml-r.villa-bosch.de
Borut Krajnc
Jürgen Pahle
Anne K Green
C Jane Dixon
Marko Marhl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulation and modeling is becoming more and more important when studying complex biochemical systems. Most often, ordinary differential equations are employed for this purpose. However, these are only applicable when the numbers of participating molecules in the biochemical systems are large enough to be treated as concentrations. For smaller systems, stochastic simulations on discrete particle basis are more accurate. Unfortunately, there are no general rules for determining which method should be employed for exactly which problem to get the most realistic result. Therefore, we study the transition from stochastic to deterministic behavior in a widely studied system, namely the signal transduction via calcium, especially calcium oscillations. We observe that the transition occurs within a range of particle numbers, which roughly corresponds to the number of receptors and channels in the cell, and depends heavily on the attractive properties of the phase space of the respective systems dynamics. We conclude that the attractive properties of a system, expressed, e.g., by the divergence of the system, are a good measure for determining which simulation algorithm is appropriate in terms of speed and realism.

Indexed as

Calcium SignalingAdenosine TriphosphateAlgorithmsAnimalsBiochemistryBiophysicsCalciumCollagenasesComputer SimulationHepatocytesKineticsMaleModels, BiologicalModels, StatisticalModels, TheoreticalOscillometryAdenosine TriphosphateCalciumCollagenases

Identifiers

PMID15994893
PMCPMC1366664

What OpenQuestion holds

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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.