Evidence map›Paper›PMID 22482950›Full record

ArticleMethods in cell biology2012

Spatial modeling of cell signaling networks.

Ann E Cowan, Ion I Moraru, James C Schaff, Boris M Slepchenko, Leslie M Loew

Abstract read
In one paragraph

Article in Methods in cell biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

  1. Review
  2. Article
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  10. Resistance and germination of spores ofJournal of bacteriology · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Protein interactions, calcium, phosphorylation, and cholesterol modulate CFTR cluster formation on membranes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Article
  16. Article
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  19. A noncanonical GTPase signaling mechanism controls exit from mitosis in budding yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. Article

28 more citing papers are in PubMed but not listed here.

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.

Ann E CowanR D Berlin Center for Cell Analysis and Modeling, University of Connecticut Heath Center, Farmington, CT, USA.
Ion I Moraru
James C Schaff
Boris M Slepchenko
Leslie M Loew

Funding

VIRTUAL FCSP41RR013186 · NCRR · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LOEW, LESLIE M · 1998 to 2011
$14.2M
TR&D4 Spatial Modeling: Modeling Framework for Cell MotilityP41GM103313 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LOEW, LESLIE M · 2012 to 2018
$9.7M
NCRR NIH HHS P41 RR013186NCRR NIH HHS P41RR013186NIGMS NIH HHS P41 GM103313
6 · The paper itself

Abstract

The shape of a cell, the sizes of subcellular compartments, and the spatial distribution of molecules within the cytoplasm can all control how molecules interact to produce a cellular behavior. This chapter describes how these spatial features can be included in mechanistic mathematical models of cell signaling. The Virtual Cell computational modeling and simulation software is used to illustrate the considerations required to build a spatial model. An explanation of how to appropriately choose between physical formulations that implicitly or explicitly account for cell geometry and between deterministic versus stochastic formulations for molecular dynamics is provided, along with a discussion of their respective strengths and weaknesses. As a first step toward constructing a spatial model, the geometry needs to be specified and associated with the molecules, reactions, and membrane flux processes of the network. Initial conditions, diffusion coefficients, velocities, and boundary conditions complete the specifications required to define the mathematics of the model. The numerical methods used to solve reaction-diffusion problems both deterministically and stochastically are then described and some guidance is provided in how to set up and run simulations. A study of cAMP signaling in neurons ends the chapter, providing an example of the insights that can be gained in interpreting experimental results through the application of spatial modeling.

Indexed as

Computer SimulationSoftwareAlgorithmsAnimalsCell ShapeCyclic AMPCyclic AMP-Dependent Protein KinasesCytoplasmKineticsMetabolic Networks and PathwaysMitogen-Activated Protein KinasesModels, BiologicalMonte Carlo MethodNeuronsSignal TransductionCyclic AMPCyclic AMP-Dependent Protein KinasesMitogen-Activated Protein Kinases

Identifiers

PMID22482950
PMCPMC3519356

What OpenQuestion holds

Textmetadata
LicenceTDM
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.