Evidence map›Paper›PMID 33179908›Full record

ArticleAnalytical chemistry2020

FRET-Based Assay for the Quantification of Extracellular Vesicles and Other Vesicles of Complex Composition.

Konrad Thorsteinsson, Erik Olsén, Eneas Schmidt, Hudson Pace, Marta Bally

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

21 citing papers in PubMed, 47 citations in OpenAlex.

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  14. Emerging Designs and Applications for Biomembrane Biosensors.Annual review of analytical chemistry (Palo Alto, Calif.) · 2024
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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

5 authors at 2 institutions in 1 country.

Konrad ThorsteinssonSection of Virology, Department of Clinical Microbiology, Umeå University, 901 85 Umeå, Sweden.
Erik OlsénDivision of Nano and Biophysics, Department of Physics, Chalmers University of Technology, 412 96 Gothenburg, Sweden.ORCID 0000-0002-4002-0917
Eneas SchmidtDivision of Nano and Biophysics, Department of Physics, Chalmers University of Technology, 412 96 Gothenburg, Sweden.
Hudson PaceSection of Virology, Department of Clinical Microbiology, Umeå University, 901 85 Umeå, Sweden.ORCID 0000-0001-5116-2577
Marta BallySection of Virology, Department of Clinical Microbiology, Umeå University, 901 85 Umeå, Sweden.ORCID 0000-0002-5865-8302
Umeå University · SEChalmers University of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research in the field of extracellular vesicles is rapidly expanding and finding footholds in many areas of medical science. However, the availability of methodologies to quantify the concentration of membrane material present in a sample remains limited. Herein, we present a novel approach for the quantification of vesicle material, specifically the quantification of the total lipid membrane surface area, found in a sample using Förster resonance energy transfer (FRET). In this assay, sonication is used to drive the fusion between vesicles in the sample to be quantified and liposomes containing a pair of FRET fluorophores. The change in emission spectrum upon vesicle fusion is directly related to the total membrane surface area of the sample added, and a calibration curve allows for the quantification of a variety of vesicle species, including enveloped viruses, bacterial outer membrane vesicles, and mammalian extracellular vesicles. Without extensive optimization of experimental parameters, we were able to quantify down to ∼10

Indexed as

Cell LineCell MembraneExtracellular VesiclesFluorescence Resonance Energy TransferHumansLimit of DetectionLipid MetabolismSonication

Identifiers

PMID33179908
PMCPMC7735656
OpenAlexW3101114521

What OpenQuestion holds

Textmetadata
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.