Evidence map›Paper›PMID 29650369›Full record

ArticleBiophysical journal2018

SPT and Imaging FCS Provide Complementary Information on the Dynamics of Plasma Membrane Molecules.

Marie-Lena I E Harwardt, Marina S Dietz, Mike Heilemann, Thorsten Wohland

Abstract read
In one paragraph

Article in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  7. Biased activation of the receptor tyrosine kinase HER2.Cellular and molecular life sciences : CMLS · 2023
    Article
  8. DynamicNano letters · 2022
    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

4 authors.

Marie-Lena I E HarwardtInstitute of Physical and Theoretical Chemistry, Johann Wolfgang Goethe-University, Frankfurt, Germany.
Marina S DietzInstitute of Physical and Theoretical Chemistry, Johann Wolfgang Goethe-University, Frankfurt, Germany.
Mike HeilemannInstitute of Physical and Theoretical Chemistry, Johann Wolfgang Goethe-University, Frankfurt, Germany. Electronic address: heileman@chemie.uni-frankfurt.de.
Thorsten WohlandDepartments of Biological Sciences and Chemistry, Center for Bioimaging Sciences, National University of Singapore, Singapore, Singapore. Electronic address: twohland@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics of biomolecules in the plasma membrane is of fundamental importance to understanding cellular processes. Cellular signaling often starts with extracellular ligand binding to a membrane receptor, which then transduces an intracellular signal. Ligand binding and receptor-complex activation often involve a complex rearrangement of proteins in the membrane, which results in changes in diffusion properties. Two widely used methods to characterize biomolecular diffusion are single-particle tracking (SPT) and imaging total internal reflection fluorescence correlation spectroscopy (ITIR-FCS). Here, we compare the results of recovered diffusion coefficients and mean-square displacements of the two methods by simulations of free, domain-confined, or meshwork diffusion. We introduce, to our knowledge, a new method for the determination of confinement radii from ITIR-FCS data. We further establish and demonstrate simultaneous SPT/ITIR-FCS for direct comparison within living cells. Finally, we compare the results obtained by SPT and ITIR-FCS for the receptor tyrosine kinase MET. Our results show that SPT and ITIR-FCS yield complementary information on diffusion properties of biomolecules in cell membranes.

Indexed as

Spectrometry, FluorescenceCell MembraneDiffusion

Identifiers

PMID29650369
PMCPMC6129459

What OpenQuestion holds

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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.