Evidence map›Paper›PMID 25008080›Full record

ArticleJournal of the Royal Society, Interface2014

Single molecule dynamics in a virtual cell: a three-dimensional model that produces simulated fluorescence video-imaging data.

Gregory I Mashanov

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Gregory I MashanovDivision of Physical Biochemistry, MRC National Institute for Medical Research, Mill Hill, London NW7 1AA, UK gmashan@nimr.mrc.ac.uk.

Funding

Medical Research Council MC_U117570592Medical Research Council U117570592
6 · The paper itself

Abstract

The analysis of single molecule imaging experiments is complicated by the stochastic nature of single molecule events, by instrument noise and by the limited information which can be gathered about any individual molecule observed. Consequently, it is important to cross check experimental results using a model simulating single molecule dynamics (e.g. movements and binding events) in a virtual cell-like environment. The output of such a model should match the real data format allowing researchers to compare simulated results with the real experiments. The proposed model exploits the advantages of 'object-oriented' computing. First of all, the ability to create and manipulate a number of classes, each containing an arbitrary number of single molecule objects. These classes may include objects moving within the 'cytoplasm'; objects moving at the 'plasma membrane'; and static objects located inside the 'body'. The objects of a given class can interact with each other and/or with the objects of other classes according to their physical and chemical properties. Each model run generates a sequence of images, each containing summed images of all fluorescent objects emitting light under given illumination conditions with realistic levels of noise and emission fluctuations. The model accurately reproduces reported single molecule experiments and predicts the outcome of future experiments.

Indexed as

Microscopy, FluorescenceMicroscopy, VideoModels, TheoreticalAlgorithmsCell MembraneCytoplasmDiffusionFluorescenceImaging, Three-DimensionalKineticsMembrane MicrodomainsMicroscopy, ConfocalMovementProbabilityProtein BindingStochastic Processescell modelobject-oriented modellingsingle molecule imaging

Identifiers

PMID25008080
PMCPMC4233692

What OpenQuestion holds

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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.