Evidence map›Paper›PMID 26437911›Full record

ArticleNature communications2015

Measuring fast stochastic displacements of bio-membranes with dynamic optical displacement spectroscopy.

C Monzel, D Schmidt, C Kleusch, D Kirchenbüchler, U Seifert, A-S Smith, K Sengupta, R Merkel

Abstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  11. Delivery of the RadionuclideInternational journal of molecular sciences · 2021
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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

8 authors.

C MonzelInstitute of Complex Systems 7 (ICS-7): Biomechanics, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
D SchmidtInstitut für Theoretische Physik, Department für Physik, and the Excellence Cluster: Engineering of Advanced Materials, Friedrich Alexander Universität Erlangen-Nürnberg, 91058 Erlangen, Germany.
C KleuschInstitute of Complex Systems 7 (ICS-7): Biomechanics, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
D KirchenbüchlerInstitute of Complex Systems 7 (ICS-7): Biomechanics, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.
U SeifertII. Institut für Theoretische Physik, Fakultät 8: Mathematik und Physik, Universität Stuttgart, 70550 Stuttgart, Germany.
A-S SmithInstitut für Theoretische Physik, Department für Physik, and the Excellence Cluster: Engineering of Advanced Materials, Friedrich Alexander Universität Erlangen-Nürnberg, 91058 Erlangen, Germany.
K SenguptaAix-Marseille Université, CNRS, Centre Interdisciplinaire de Nanoscience de Marseille UMR 7325, 13288 Marseille, France.
R MerkelInstitute of Complex Systems 7 (ICS-7): Biomechanics, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.ORCID http://orcid.org/0000-0003-3178-3282

Funding

European Research Council 307104European Research Council 337283
6 · The paper itself

Abstract

Stochastic displacements or fluctuations of biological membranes are increasingly recognized as an important aspect of many physiological processes, but hitherto their precise quantification in living cells was limited due to a lack of tools to accurately record them. Here we introduce a novel technique--dynamic optical displacement spectroscopy (DODS), to measure stochastic displacements of membranes with unprecedented combined spatiotemporal resolution of 20 nm and 10 μs. The technique was validated by measuring bending fluctuations of model membranes. DODS was then used to explore the fluctuations in human red blood cells, which showed an ATP-induced enhancement of non-Gaussian behaviour. Plasma membrane fluctuations of human macrophages were quantified to this accuracy for the first time. Stimulation with a cytokine enhanced non-Gaussian contributions to these fluctuations. Simplicity of implementation, and high accuracy make DODS a promising tool for comprehensive understanding of stochastic membrane processes.

Indexed as

Unilamellar LiposomesCell MembraneErythrocyte MembraneHumansMacrophagesMicroscopy, ConfocalModels, BiologicalOptical ImagingSpectrometry, FluorescenceSpectrum AnalysisStochastic ProcessesUnilamellar Liposomes

Identifiers

PMID26437911
PMCPMC4600712

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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.