Evidence map›Paper›PMID 23743449›Full record

ReviewJournal of neuroscience methods2013

Approaches and tools for modeling signaling pathways and calcium dynamics in neurons.

K T Blackwell

Open access · greenAbstract readReview
In one paragraph

Review in Journal of neuroscience methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Multithreaded Stochastic PDES for Reactions and Diffusions in Neurons.ACM transactions on modeling and computer simulation : a publication of the Association for Computing Machinery · 2017
    Article
  11. Article
  12. Calcium: amplitude, duration, or location?The Biological bulletin · 2015
    Review
  13. Article
  14. Article
  15. Parallel Stochastic Discrete Event Simulation of Calcium Dynamics in Neuron.IEEE/ACM transactions on computational biology and bioinformatics
    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

1 author at 1 institution in 1 country.

K T BlackwellGeorge Mason University, The Krasnow Institute for Advanced Studies, MS 2A1, Fairfax, VA 22030-444, USA. Electronic address: kblackw1@gmu.edu.
George Mason University · US

Funding

CRCNS: Spatial & Temporal Aspects of cAMP/PKA Signaling Underlying InformationR01AA018060 · NIAAA · GEORGE MASON UNIVERSITY · PI ABEL, EDWIN TED G., BLACKWELL, KIM L · 2008 to 2012
$1.8M
Ethanol Dependence and Kappa Receptor AntagonistsR44AA018066 · NIAAA · BEHAVIORAL PHARMA, INC. · PI AZAR, MARC REZA · 2009 to 2011
$871k
NIAAA NIH HHS R01 AA018060NIAAA NIH HHS R01 AA18066NIAAA NIH HHS R44 AA018066
6 · The paper itself

Abstract

Signaling pathways are cascades of intracellular biochemical reactions that are activated by transmembrane receptors, and ultimately lead to transcription in the nucleus. In neurons, both calcium permeable synaptic and ionic channels as well as G protein coupled receptors initiate activation of signaling pathway molecules that interact with electrical activity at multiple spatial and time scales. At small temporal and spatial scales, calcium modifies the properties of ionic channels, whereas at larger temporal and spatial scales, various kinases and phosphatases modify the properties of ionic channels, producing phenomena such as synaptic plasticity and homeostatic plasticity. The elongated structure of neuronal dendrites and the organization of multi-protein complexes by anchoring proteins imply that the spatial dimension must be explicit. Therefore, modeling signaling pathways in neurons utilizes algorithms for both diffusion and reactions. The small size of spines coupled with small concentrations of some molecules implies that some reactions occur stochastically. The need for stochastic simulation of many reaction and diffusion events coupled with the multiple temporal and spatial scales makes modeling of signaling pathways a difficult problem. Several different software programs have achieved different aspects of these capabilities. This review explains some of the mathematical formulas used for modeling reactions and diffusion. In addition, it briefly presents the simulators used for modeling reaction-diffusion systems in neurons, together with scientific problems addressed.

Indexed as

Models, BiologicalNonlinear DynamicsAnimalsCalciumHumansNeuronsSignal TransductionStochastic ProcessesCalciumCalcium dynamicsDiffusionEnzyme kineticsSecond messengersSignaling pathwaysStochastic simulation

Identifiers

PMID23743449
PMCPMC3830683
OpenAlexW2041265238

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.