Evidence map›Paper›PMID 17142285›Full record

ArticleBiophysical journal2007

A biological interpretation of transient anomalous subdiffusion. I. Qualitative model.

Michael J Saxton

Abstract 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 105 papers.

0numbers the graph read from it
0cells of the map it votes in
105citing 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

105 citing papers in PubMed.

  1. Article
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  3. High-Speed Interferometric Scattering Tracking Microscopy of Compartmentalized Lipid Diffusion in Living Cells.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025
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  6. Macromolecular interactions and geometrical confinement determine the 3D diffusion of ribosome-sized particles in liveProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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45 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Michael J SaxtonDepartment of Biochemistry and Molecular Medicine, University of California, Davis, California 95616, USA. mjsaxton@ucdavis.edu

Funding

LATERAL DIFFUSION IN AN ARCHIPELAGO: MONTE CARLO STUDIESR01GM038133 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI SAXTON, MICHAEL J. · 1988 to 2011
$1.9M
NIGMS NIH HHS GM038133NIGMS NIH HHS R01 GM038133
6 · The paper itself

Abstract

Anomalous subdiffusion has been reported for two-dimensional diffusion in the plasma membrane and three-dimensional diffusion in the nucleus and cytoplasm. If a particle diffuses in a suitable infinite hierarchy of binding sites, diffusion is well known to be anomalous at all times. But if the hierarchy is finite, diffusion is anomalous at short times and normal at long times. For a prescribed set of binding sites, Monte Carlo calculations yield the anomalous diffusion exponent and the average time over which diffusion is anomalous. If even a single binding site is present, there is a very short, almost artifactual, period of anomalous subdiffusion, but a hierarchy of binding sites extends the anomalous regime considerably. As is well known, an essential requirement for anomalous subdiffusion due to binding is that the diffusing particle cannot be in thermal equilibrium with the binding sites; an equilibrated particle diffuses normally at all times. Anomalous subdiffusion due to barriers, however, still occurs at thermal equilibrium, and anomalous subdiffusion due to a combination of binding sites and barriers is reduced but not eliminated on equilibration. This physical model is translated directly into a plausible biological model testable by single-particle tracking.

Indexed as

Models, BiologicalBinding SitesBiological TransportCell MembraneCell NucleusCytoplasmDiffusionMonte Carlo Method

Identifiers

PMID17142285
PMCPMC1783867

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.