Evidence map›Paper›PMID 16387773›Full record

ArticleBiophysical journal2006

A 3D Monte Carlo analysis of the role of dyadic space geometry in spark generation.

Xiaoying Koh, Bhuvan Srinivasan, Hwee Seong Ching, Andre Levchenko

Abstract read
In one paragraph

Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
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  3. CaJournal of molecular and cellular cardiology · 2023
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  17. A localized meshless approach for modeling spatial-temporal calcium dynamics in ventricular myocytes.International journal for numerical methods in biomedical engineering · 2012
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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

4 authors.

Xiaoying KohWhitaker Institute for Biomedical Engineering and Department of Biomedical Engineering, The Johns Hopkins University Whiting School of Engineering, Baltimore, Maryland 21218, USA.
Bhuvan Srinivasan
Hwee Seong Ching
Andre Levchenko

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In multiple biological systems, vital intracellular signaling processes occur locally in minute periplasmic subspaces often referred to as signaling microdomains. The number of signaling molecules in these microdomains is small enough to render the notion of continuous concentration changes invalid, such that signaling events are better described using stochastic rather than deterministic methods. Of particular interest is the dyadic cleft in the cardiac myocyte, where short-lived, local increases in intracellular Ca2+ known as Ca2+ sparks regulate excitation-contraction coupling. The geometry of dyadic spaces can alter in disease and development and display significant interspecies variability. We created and studied a 3D Monte Carlo model of the dyadic cleft, specifying the spatial localization of L-type Ca2+ channels and ryanodine receptors. Our analysis revealed how reaction specificity and efficiency are regulated by microdomain geometry as well as the physical separation of signaling molecules into functional complexes. The spark amplitude and rise time were found to be highly dependent on the concentration of activated channels per dyadic cleft and on the intermembrane separation, but not very sensitive to other cleft dimensions. The role of L-type Ca2+ channel and ryanodine receptor phosphorylation was also examined. We anticipate that this modeling approach may be applied to other systems (e.g., neuronal growth cones and chemotactic cells) to create a general description of stochastic events in Ca2+ signaling.

Indexed as

Models, NeurologicalAnimalsCalcium SignalingComputer SimulationHumansIon Channel GatingModels, StatisticalMonte Carlo MethodMuscle CellsNeuronsRyanodine Receptor Calcium Release ChannelSarcoplasmic ReticulumRyanodine Receptor Calcium Release Channel

Identifiers

PMID16387773
PMCPMC1386779

What OpenQuestion holds

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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.