Evidence map›Paper›PMID 29211999›Full record

ArticleBiophysical journal2017

A Simple and Powerful Analysis of Lateral Subdiffusion Using Single Particle Tracking.

Marianne Renner, Lili Wang, Sabine Levi, Laetitia Hennekinne, Antoine Triller

Open access · greenAbstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 42 citations in OpenAlex.

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  14. High-Precision Protein-Tracking With Interferometric Scattering Microscopy.Frontiers in cell and developmental biology · 2020
    Article
  15. Review
  16. Inhibitory Receptor Diffusion Dynamics.Frontiers in molecular neuroscience · 2019
    Article
  17. Article
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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 at 3 institutions in 1 country.

Marianne RennerÉcole Normale Supérieure, PSL Research University, CNRS, INSERM, Institute of Biology (IBENS), Paris, France; INSERM UMR-S 839, Université Pierre et Marie Curie, Institut du Fer à Moulin, Paris, France. Electronic address: marianne.renner@inserm.fr.
Lili WangÉcole Normale Supérieure, PSL Research University, CNRS, INSERM, Institute of Biology (IBENS), Paris, France.
Sabine LeviINSERM UMR-S 839, Université Pierre et Marie Curie, Institut du Fer à Moulin, Paris, France.
Laetitia HennekinneÉcole Normale Supérieure, PSL Research University, CNRS, INSERM, Institute of Biology (IBENS), Paris, France.
Antoine TrillerÉcole Normale Supérieure, PSL Research University, CNRS, INSERM, Institute of Biology (IBENS), Paris, France. Electronic address: triller@biologie.ens.fr.
Institut du Fer à Moulin · FRÉcole Normale Supérieure - PSL · FRInstitut de Biologie de l'École Normale Supérieure · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In biological membranes, many factors such as cytoskeleton, lipid composition, crowding, and molecular interactions deviate lateral diffusion from the expected random walks. These factors have different effects on diffusion but act simultaneously, so the observed diffusion is a complex mixture of diffusive behaviors (directed, Brownian, anomalous, or confined). Therefore, commonly used approaches to quantify diffusion based on averaging of the displacements such as the mean square displacement, are not adapted to the analysis of this heterogeneity. We introduce a parameter-the packing coefficient Pc, which gives an estimate of the degree of free movement that a molecule displays in a period of time independently of its global diffusivity. Applying this approach to two different situations (diffusion of a lipid probe and trapping of receptors at synapses), we show that Pc detected and localized temporary changes of diffusive behavior both in time and in space. More importantly, it allowed the detection of periods with very high confinement as well as their frequency and duration, and thus it can be used to calculate the effective k

Indexed as

Single Molecule ImagingAnimalsCell MembraneDiffusionNeuronsRats

Identifiers

PMID29211999
PMCPMC5738498
OpenAlexW2763024822

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.