Evidence map›Paper›PMID 31566864›Full record

ArticleChembiochem : a European journal of chemical biology2020

A Method for High-Throughput Measurements of Viscosity in Sub-micrometer-Sized Membrane Systems.

Grzegorz Chwastek, Eugene P Petrov, James Peter Sáenz

Open access · hybridAbstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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

10 citing papers in PubMed, 25 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Grzegorz ChwastekB CUBE, Technische Universität Dresden, Tatzberg 41, 01307, Dresden, Germany.ORCID 0000-0003-0809-5852
Eugene P PetrovFaculty of Physics, Ludwig Maximilian University of Munich, Geschwister-Scholl-Platz 1, 80539, Munich, Germany.ORCID 0000-0001-7913-8296
James Peter SáenzB CUBE, Technische Universität Dresden, Tatzberg 41, 01307, Dresden, Germany.ORCID 0000-0001-8901-4377
Technische Universität Dresden · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To unravel the underlying principles of membrane adaptation in small systems like bacterial cells, robust approaches to characterize membrane fluidity are needed. Currently available relevant methods require advanced instrumentation and are not suitable for high-throughput settings needed to elucidate the biochemical pathways involved in adaptation. We developed a fast, robust, and financially accessible quantitative method to measure the microviscosity of lipid membranes in bulk suspension using a commercially available plate reader. Our approach, which is suitable for high-throughput screening, is based on the simultaneous measurements of absorbance and fluorescence emission of a viscosity-sensitive fluorescent dye, 9-(2,2-dicyanovinyl)julolidine (DCVJ), incorporated into a lipid membrane. We validated our method using artificial membranes with various lipid compositions over a range of temperatures and observed values that were in good agreement with previously published results. Using our approach, we were able to detect a lipid phase transition in the ruminant pathogen Mycoplasma mycoides.

Indexed as

High-Throughput Screening AssaysFluorescent DyesMembrane LipidsMycoplasma mycoidesParticle SizeViscosityFluorescent DyesMembrane Lipidsbacteriahigh-throughput screeninglipid membranesspectroscopyviscosity

Identifiers

PMID31566864
PMCPMC7154536
OpenAlexW2978199818

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.