Evidence map›Paper›PMID 19527672›Full record

ArticleBiophysical journal2009

Stochastic simulation of signal transduction: impact of the cellular architecture on diffusion.

Michael T Klann, Alexei Lapin, Matthias Reuss

Abstract read
In one paragraph

Article in Biophysical journal, 2009. 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
–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

15 citing papers in PubMed.

  1. A multiscale model of the regulation of aquaporin 2 recycling.NPJ systems biology and applications · 2022
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Hybrid spatial Gillespie and particle tracking simulation.Bioinformatics (Oxford, England) · 2012
    Article
  8. From microscopy data to in silico environments for in vivo-oriented simulations.EURASIP journal on bioinformatics & systems biology · 2012
    Article
  9. Spatial simulations in systems biology: from molecules to cells.International journal of molecular sciences · 2012
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

3 authors.

Michael T KlannInstitute of Biochemical Engineering and Center Systems Biology, Universität Stuttgart, Stuttgart, Germany. klann@ibvt.uni-stuttgart.de
Alexei Lapin
Matthias Reuss

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transduction of signals depends on the translocation of signaling molecules to specific targets. Undirected diffusion processes play a key role in the bridging of spaces between different cellular compartments. The diffusion of the molecules is, in turn, governed by the intracellular architecture. Molecular crowding and the cytoskeleton decrease macroscopic diffusion. This article shows the use of a stochastic simulation method to study the effects of the cytoskeleton structure on the mobility of macromolecules. Brownian dynamics and single particle tracking were used to simulate the diffusion process of individual molecules through a model cytoskeleton. The resulting average effective diffusion is in line with data obtained in the in vitro and in vivo experiments. It shows that the cytoskeleton structure strongly influences the diffusion of macromolecules. The simulation method used also allows the inclusion of reactions in order to model complete signaling pathways in their spatio-temporal dynamics, taking into account the effects of the cellular architecture.

Indexed as

Signal TransductionCellsComputer SimulationCytoskeletonDiffusionModels, MolecularNonlinear DynamicsStochastic Processes

Identifiers

PMID19527672
PMCPMC2712048

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.