Evidence map›Paper›PMID 17483174›Full record

ArticleBiophysical journal2007

A kinetic model for calcium dynamics in RAW 264.7 cells: 1. Mechanisms, parameters, and subpopulational variability.

Mano Ram Maurya, Shankar Subramaniam

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 50 citations in OpenAlex.

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  11. Microfluidic interrogation and mathematical modeling of multi-regime calcium signaling dynamics.Integrative biology : quantitative biosciences from nano to macro · 2013
    Article
  12. Functional classification of skeletal muscle networks. I. Normal physiology.Journal of applied physiology (Bethesda, Md. : 1985) · 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

2 authors at 1 institution in 1 country.

Mano Ram MauryaDepartment of Bioengineering, University of California, San Diego, California 92093-0412, USA.
Shankar Subramaniam
University of California, San Diego · US

Funding

STEROL LIPIDSU54GM069338 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DENNIS, EDWARD A · 2003 to 2013
$72.2M
MICROFABRICATED DYNAMIC ARRY CYTOMETER FOR CELL SIGNALINU54GM062114 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRAY, MARTHA L · 2000 to 2007
$63.7M
Combinatorial &Probabilistic Methods for Biol SequencesR01GM068959 · NIGMS · PURDUE UNIVERSITY WEST LAFAYETTE · PI SZPANKOWSKI, WOJCIECH · 2003 to 2006
$920k
NIGMS NIH HHS R01 GM068959NIGMS NIH HHS R01-GM068959NIGMS NIH HHS U54 GM062114NIGMS NIH HHS U54 GM069338NIGMS NIH HHS U54 GM62114NIGMS NIH HHS U54 GM69338-04
6 · The paper itself

Abstract

Calcium (Ca(2+)) is an important second messenger and has been the subject of numerous experimental measurements and mechanistic studies in intracellular signaling. Calcium profile can also serve as a useful cellular phenotype. Kinetic models of calcium dynamics provide quantitative insights into the calcium signaling networks. We report here the development of a complex kinetic model for calcium dynamics in RAW 264.7 cells stimulated by the C5a ligand. The model is developed using the vast number of measurements of in vivo calcium dynamics carried out in the Alliance for Cellular Signaling (AfCS) Laboratories. Ligand binding, phospholipase C-beta (PLC-beta) activation, inositol 1,4,5-trisphosphate (IP(3)) receptor (IP(3)R) dynamics, and calcium exchange with mitochondria and extracellular matrix have all been incorporated into the model. The experimental data include data from both native and knockdown cell lines. Subpopulational variability in measurements is addressed by allowing nonkinetic parameters to vary across datasets. The model predicts temporal response of Ca(2+) concentration for various doses of C5a under different initial conditions. The optimized parameters for IP(3)R dynamics are in agreement with the legacy data. Further, the half-maximal effect concentration of C5a and the predicted dose response are comparable to those seen in AfCS measurements. Sensitivity analysis shows that the model is robust to parametric perturbations.

Indexed as

AnimalsCalciumCalcium SignalingCell LineComplement C5aEndoplasmic ReticulumGTP PhosphohydrolasesKineticsLigandsMacrophagesMathematicsMiceModels, BiologicalSarcoplasmic ReticulumSignal TransductionCalciumComplement C5aGTP PhosphohydrolasesLigands

Identifiers

PMID17483174
PMCPMC1913151
OpenAlexW2090083628

What OpenQuestion holds

Textmetadata
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.