Evidence map›Paper›PMID 33945656›Full record

ReviewChembiochem : a European journal of chemical biology2021

Single-Molecule FRET of Membrane Transport Proteins.

Kim Bartels, Tanya Lasitza-Male, Hagen Hofmann, Christian Löw

Open access · hybridAbstract readReview
In one paragraph

Review in Chembiochem : a European journal of chemical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
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  5. Advanced optical microscopy methods forBiophysical reviews · 2025
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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

4 authors at 2 institutions in 2 countries.

Kim BartelsCentre for Structural Systems Biology (CSSB), DESY and European Molecular Biology Laboratory Hamburg, Notkestrasse 85, 22607, Hamburg, Germany.
Tanya Lasitza-MaleDepartment of Structural Biology, Weizmann Institute of Science, Herzl St. 234, 7610001, Rehovot, Israel.
Hagen HofmannDepartment of Structural Biology, Weizmann Institute of Science, Herzl St. 234, 7610001, Rehovot, Israel.
Christian LöwCentre for Structural Systems Biology (CSSB), DESY and European Molecular Biology Laboratory Hamburg, Notkestrasse 85, 22607, Hamburg, Germany.ORCID 0000-0003-0764-7483
European Molecular Biology Laboratory · DEWeizmann Institute of Science · IL

Funding

BMBF 05K18YEAGerman-Israeli Foundation G-1288-207.9/2015
6 · The paper itself

Abstract

Uncovering the structure and function of biomolecules is a fundamental goal in structural biology. Membrane-embedded transport proteins are ubiquitous in all kingdoms of life. Despite structural flexibility, their mechanisms are typically studied by ensemble biochemical methods or by static high-resolution structures, which complicate a detailed understanding of their dynamics. Here, we review the recent progress of single molecule Förster Resonance Energy Transfer (smFRET) in determining mechanisms and timescales of substrate transport across membranes. These studies do not only demonstrate the versatility and suitability of state-of-the-art smFRET tools for studying membrane transport proteins but they also highlight the importance of membrane mimicking environments in preserving the function of these proteins. The current achievements advance our understanding of transport mechanisms and have the potential to facilitate future progress in drug design.

Indexed as

Fluorescence Resonance Energy TransferMembrane Transport ProteinsHumansSingle Molecule ImagingMembrane Transport ProteinsFRETmembrane proteinsmolecular dynamicssingle-molecule studiestransmembrane transporter

Identifiers

PMID33945656
PMCPMC8453700
OpenAlexW3158848525

What OpenQuestion holds

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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.