Evidence map›Paper›PMID 25350683›Full record

ArticleJournal of visualized experiments : JoVE2014

From fast fluorescence imaging to molecular diffusion law on live cell membranes in a commercial microscope.

Carmine Di Rienzo, Enrico Gratton, Fabio Beltram, Francesco Cardarelli

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 3 institutions in 2 countries.

Carmine Di RienzoNEST Laboratory, Scuola Normale Superiore; Center for Nanotechnology Innovation, Instituto Italiano di Tecnologia.
Enrico GrattonLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine.
Fabio BeltramNEST Laboratory, Scuola Normale Superiore.
Francesco CardarelliCenter for Nanotechnology Innovation, Instituto Italiano di Tecnologia; francesco.cardarelli@iit.it.
Center for Nanotechnology Innovation · ITFluor (United States) · USScuola Normale Superiore · IT

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 NIH P50-GM076516NIGMS NIH HHS P41 GM103540NIGMS NIH HHS P50 GM076516PHS HHS NIH-P41 P41-RRO3155
6 · The paper itself

Abstract

It has become increasingly evident that the spatial distribution and the motion of membrane components like lipids and proteins are key factors in the regulation of many cellular functions. However, due to the fast dynamics and the tiny structures involved, a very high spatio-temporal resolution is required to catch the real behavior of molecules. Here we present the experimental protocol for studying the dynamics of fluorescently-labeled plasma-membrane proteins and lipids in live cells with high spatiotemporal resolution. Notably, this approach doesn't need to track each molecule, but it calculates population behavior using all molecules in a given region of the membrane. The starting point is a fast imaging of a given region on the membrane. Afterwards, a complete spatio-temporal autocorrelation function is calculated correlating acquired images at increasing time delays, for example each 2, 3, n repetitions. It is possible to demonstrate that the width of the peak of the spatial autocorrelation function increases at increasing time delay as a function of particle movement due to diffusion. Therefore, fitting of the series of autocorrelation functions enables to extract the actual protein mean square displacement from imaging (iMSD), here presented in the form of apparent diffusivity vs average displacement. This yields a quantitative view of the average dynamics of single molecules with nanometer accuracy. By using a GFP-tagged variant of the Transferrin Receptor (TfR) and an ATTO488 labeled 1-palmitoyl-2-hydroxy-sn-glycero-3-phosphoethanolamine (PPE) it is possible to observe the spatiotemporal regulation of protein and lipid diffusion on µm-sized membrane regions in the micro-to-milli-second time range.

Indexed as

AnimalsCell MembraneCHO CellsCricetulusFluoresceinsGreen Fluorescent ProteinsMembrane LipidsMembrane ProteinsMicroscopy, FluorescencePhosphatidylethanolaminesReceptors, TransferrinAtto 488 maleimideFluoresceinsGreen Fluorescent ProteinsMembrane LipidsMembrane ProteinsPhosphatidylethanolaminesReceptors, Transferrin

Identifiers

PMID25350683
PMCPMC4461222
OpenAlexW2146010867

What OpenQuestion holds

Textmetadata
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.