Evidence map›Paper›PMID 25121766›Full record

ArticlePLoS computational biology2014

A deterministic model predicts the properties of stochastic calcium oscillations in airway smooth muscle cells.

Pengxing Cao, Xiahui Tan, Graham Donovan, Michael J Sanderson, James Sneyd

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

31 citing papers in PubMed, 61 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Pengxing CaoDepartment of Mathematics, University of Auckland, Auckland, New Zealand.
Xiahui TanDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Graham DonovanDepartment of Mathematics, University of Auckland, Auckland, New Zealand.
Michael J SandersonDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
James SneydDepartment of Mathematics, University of Auckland, Auckland, New Zealand.
University of Auckland · NZUniversity of Massachusetts Chan Medical School · US

Funding

A multi-scale approach to airway hyperresponsiveness: from molecule to organR01HL103405 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BATES, JASON HT, LAUZON, ANNE-MARIE · 2010 to 2013
$3.6M
NHLBI NIH HHS R01 HL103405
6 · The paper itself

Abstract

The inositol trisphosphate receptor ([Formula: see text]) is one of the most important cellular components responsible for oscillations in the cytoplasmic calcium concentration. Over the past decade, two major questions about the [Formula: see text] have arisen. Firstly, how best should the [Formula: see text] be modeled? In other words, what fundamental properties of the [Formula: see text] allow it to perform its function, and what are their quantitative properties? Secondly, although calcium oscillations are caused by the stochastic opening and closing of small numbers of [Formula: see text], is it possible for a deterministic model to be a reliable predictor of calcium behavior? Here, we answer these two questions, using airway smooth muscle cells (ASMC) as a specific example. Firstly, we show that periodic calcium waves in ASMC, as well as the statistics of calcium puffs in other cell types, can be quantitatively reproduced by a two-state model of the [Formula: see text], and thus the behavior of the [Formula: see text] is essentially determined by its modal structure. The structure within each mode is irrelevant for function. Secondly, we show that, although calcium waves in ASMC are generated by a stochastic mechanism, [Formula: see text] stochasticity is not essential for a qualitative prediction of how oscillation frequency depends on model parameters, and thus deterministic [Formula: see text] models demonstrate the same level of predictive capability as do stochastic models. We conclude that, firstly, calcium dynamics can be accurately modeled using simplified [Formula: see text] models, and, secondly, to obtain qualitative predictions of how oscillation frequency depends on parameters it is sufficient to use a deterministic model.

Indexed as

Models, BiologicalAnimalsCalciumCalcium SignalingInositol 1,4,5-Trisphosphate ReceptorsLinear ModelsLungMiceMice, Inbred BALB CMyocytes, Smooth MuscleStochastic ProcessesCalciumInositol 1,4,5-Trisphosphate Receptors

Identifiers

PMID25121766
PMCPMC4133161
OpenAlexW1965515779

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.