Evidence map›Paper›PMID 30028588›Full record

ArticleACS nano2018

Statistical Analysis of Scanning Fluorescence Correlation Spectroscopy Data Differentiates Free from Hindered Diffusion.

Falk Schneider, Dominic Waithe, B Christoffer Lagerholm, Dilip Shrestha, Erdinc Sezgin, Christian Eggeling, Marco Fritzsche

Abstract read
In one paragraph

Article in ACS nano, 2018. 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
–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

18 citing papers in PubMed.

  1. Article
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  5. The kinase occupancy of T cell coreceptors reconsidered.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
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  9. Article
  10. Article
  11. Article
  12. Review
  13. Sterile activation of invariant natural killer T cells by ER-stressed antigen-presenting cells.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  14. Article
  15. Article
  16. Nanoscale dynamics of cholesterol in the cell membrane.The Journal of biological chemistry · 2019
    Article
  17. Article
  18. 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

7 authors.

Falk Schneider
Dominic Waithe
B Christoffer Lagerholm
Dilip Shrestha
Christian EggelingInstitute of Applied Optics, Friedrich-Schiller-University and Leibniz Institute of Photonic Technology, Helmholtzweg 4 , 07743 Jena , Germany.
Marco FritzscheKennedy Institute for Rheumatology , University of Oxford , Roosevelt Drive , Oxford OX3 7LF , United Kingdom.ORCID 0000-0002-8712-7471

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council G0902418Medical Research Council MC_UU_00008/9Medical Research Council MC_UU_12010/9Medical Research Council MC UU 12025Medical Research Council MR/K01577X/1Medical Research Council MR/S005382/1Wellcome Trust 091911
6 · The paper itself

Abstract

Cells rely on versatile diffusion dynamics in their plasma membrane. Quantification of this often heterogeneous diffusion is essential to the understanding of cell regulation and function. Yet such measurements remain a major challenge in cell biology, usually due to low sampling throughput, a necessity for dedicated equipment, sophisticated fluorescent label strategies, and limited sensitivity. Here, we introduce a robust, broadly applicable statistical analysis pipeline for large scanning fluorescence correlation spectroscopy data sets, which uncovers the nanoscale heterogeneity of the plasma membrane in living cells by differentiating free from hindered diffusion modes of fluorescent lipid and protein analogues.

Indexed as

actin cytoskeletonBrowniandiffusion modesfree and trapped diffusionhindered diffusion dynamicsscanning FCS

Identifiers

PMID30028588
PMCPMC6117752

What OpenQuestion holds

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Registered trials

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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.