Evidence map›Paper›PMID 29501424›Full record

ArticleMethods (San Diego, Calif.)2018

Comparison between iMSD and 2D-pCF analysis for molecular motion studies on in vivo cells: The case of the epidermal growth factor receptor.

Leonel Malacrida, Estella Rao, Enrico Gratton

Abstract readComparative Study
PubMed Full text at PMC Publisher
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 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

3 authors.

Leonel MalacridaLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, USA; Área de Investigación Respiratoria, Departamento de Fisiopatología, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Uruguay.
Estella RaoLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, USA; Dipartimento di Fisica e Chimica, Università di Palermo, Italy.
Enrico GrattonLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, USA. Electronic address: egratton22@gmail.com.

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 correlation analysis has evolved to become a valuable method of analysis of the diffusional motion of molecules in every points of a live cell. Here we compare the iMSD and the 2D-pCF approaches that provide complementary information. The iMSD method provides the law of diffusion and it requires spatial averaging over a small region of the cell. The 2D-pCF does not require spatial averaging and it gives information about obstacles for diffusion at pixel resolution. We show the analysis of the same set of data by the two methods to emphasize that both methods could be needed to have a comprehensive understanding of the molecular diffusional flow in a live cell.

Indexed as

Models, ChemicalAlgorithmsAnimalsCHO CellsCricetulusDiffusionErbB ReceptorsGreen Fluorescent ProteinsImage Processing, Computer-AssistedIntravital MicroscopyMicroscopy, FluorescenceEGFR protein, humanErbB ReceptorsGreen Fluorescent ProteinsBarrier to diffusionConnectivity mapsDiffusion anisotropyFluorescence fluctuation spectroscopy

Identifiers

PMID29501424
PMCPMC5999564

What OpenQuestion holds

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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.