Evidence map›Paper›PMID 25650927›Full record

ArticleBiophysical journal2015

Self-calibrated line-scan STED-FCS to quantify lipid dynamics in model and cell membranes.

Aleš Benda, Yuanqing Ma, Katharina Gaus

Abstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  6. Clustering of the ζ-Chain Can Initiate T Cell Receptor Signaling.International journal of molecular sciences · 2020
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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

3 authors.

Aleš BendaCentre for Vascular Research, Australian Centre for Nanomedicine and ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia.
Yuanqing MaCentre for Vascular Research, Australian Centre for Nanomedicine and ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia.
Katharina GausCentre for Vascular Research, Australian Centre for Nanomedicine and ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, Australia. Electronic address: k.gaus@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Only a limited number of noninvasive techniques are available to directly measure the dynamic behavior of lipids in model and cell membranes. Here, we explored whether a commercial instrument could be used for fluorescence correlation spectroscopy (FCS) under pulsed stimulated emission depletion (STED). To overcome issues with photobleaching and poor distinction between confocal and STED signals, we implemented resonant line-scan STED with filtered FCS, which has the additional benefit of autocalibrating the dimensions of the point-spread function and obtaining spatially resolved molecular mobility at subdiffraction resolution. With supported lipid bilayers, we achieved a detection spot radius of 40 nm, although at the expense of decreased molecular brightness. We also used this approach to map the dynamics of Atto646N-labeled sphingomyelin and phosphatidylethanolamine in the plasma membrane. Despite the reliability of the method and the demonstration that photobleaching and the photophysical properties of the dye did not influence diffusion measurements, we found great heterogeneities even within one cell. For both lipids, regions of high local density correlated with slow molecular diffusion, indicating trapping of Atto646N-labeled lipids. Future studies with new dyes are needed to reveal the origin of the trapping.

Indexed as

Models, BiologicalAnimalsCalibrationCell MembraneChlorocebus aethiopsCOS CellsLipid BilayersLipidsPhotonsSignal-To-Noise RatioSpectrometry, FluorescenceLipid BilayersLipids

Identifiers

PMID25650927
PMCPMC4317557

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.