Evidence map›Paper›PMID 29242135›Full record

ArticleMethods (San Diego, Calif.)2018

Quantitative image mean squared displacement (iMSD) analysis of the dynamics of profilin 1 at the membrane of live cells.

Rhonda J Davey, Michelle A Digman, Enrico Gratton, Pierre D J Moens

Open access · greenAbstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 2 countries.

Rhonda J DaveyCentre for Bioactive Discovery in Health and Ageing, School of Science and Technology, University of New England, Armidale, Australia.
Michelle A DigmanCentre for Bioactive Discovery in Health and Ageing, School of Science and Technology, University of New England, Armidale, Australia; Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, 3210 Natural Sciences II Bldg., University of California, Irvine, CA 92697-2715, United States.
Enrico GrattonLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, 3210 Natural Sciences II Bldg., University of California, Irvine, CA 92697-2715, United States.
Pierre D J MoensCentre for Bioactive Discovery in Health and Ageing, School of Science and Technology, University of New England, Armidale, Australia. Electronic address: pmoens@une.edu.au.
University of California, Irvine · USUniversity of New England · AU

Funding

Uncover Strategies Used By Biological SystemsP50GM076516 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D · 2007 to 2016
$25.1M
TRD4: Phasor analysisP41GM103540 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GRATTON, ENRICO · 2012 to 2020
$12.5M
NIGMS NIH HHS P41 GM103540NIGMS NIH HHS P50 GM076516
6 · The paper itself

Abstract

Image mean square displacement analysis (iMSD) is a method allowing the mapping of diffusion dynamics of molecules in living cells. However, it can also be used to obtain quantitative information on the diffusion processes of fluorescently labelled molecules and how their diffusion dynamics change when the cell environment is modified. In this paper, we describe the use of iMSD to obtain quantitative data of the diffusion dynamics of a small cytoskeletal protein, profilin 1 (pfn1), at the membrane of live cells and how its diffusion is perturbed when the cells are treated with Cytochalasin D and/or the interactions of pfn1 are modified when its actin and polyphosphoinositide binding sites are mutated (pfn1-R88A). Using total internal reflection fluorescence microscopy images, we obtained data on isotropic and confined diffusion coefficients, the proportion of cell areas where isotropic diffusion is the major diffusion mode compared to the confined diffusion mode, the size of the confinement zones and the size of the domains of dynamic partitioning of pfn1. Using these quantitative data, we could demonstrate a decreased isotropic diffusion coefficient for the cells treated with Cytochalasin D and for the pfn1-R88A mutant. We could also see changes in the modes of diffusion between the different conditions and changes in the size of the zones of pfn1 confinements for the pfn1 treated with Cytochalasin D. All of this information was acquired in only a few minutes of imaging per cell and without the need to record thousands of single molecule trajectories.

Indexed as

Cell Line, TumorCell MembraneCytochalasin DDiffusionGreen Fluorescent ProteinsHEK293 CellsHumansIntravital MicroscopyMicroscopy, FluorescenceMolecular Dynamics SimulationMutagenesis, Site-DirectedMutationNucleic Acid Synthesis InhibitorsProfilinsRecombinant ProteinsSingle Molecule ImagingCytochalasin Denhanced green fluorescent proteinGreen Fluorescent ProteinsNucleic Acid Synthesis InhibitorsPFN1 protein, humanProfilinsRecombinant ProteinsCorrelation spectroscopyDiffusion dynamicsMicroscopySingle particleTIRF

Identifiers

PMID29242135
PMCPMC5995621
OpenAlexW2773950563

What OpenQuestion holds

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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.