Evidence map›Paper›PMID 42203195›Full record

ReviewChemical reviews2026

Monitoring Membrane Protein Folding Assisted by Insertases and Translocases Using AFM-Based Single-Molecule Force Spectroscopy.

Tetiana Serdiuk, Johannes Thoma, Daniel J Müller

Abstract readReview
In one paragraph

Review in Chemical reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tetiana SerdiukInstitute of Molecular Systems Biology, ETH Zürich, Otto-Stern-Weg 3, 8093 Zürich, Switzerland.
Johannes ThomaDepartment of Chemistry and Molecular Biology, University of Gothenburg, Medicinaregatan 7B, 41390 Gothenburg, Sweden.ORCID 0000-0003-3584-8274
Daniel J MüllerDepartment of Biosystems Science and Engineering, ETH Zurich, Klingelbergstrasse 48, 4056 Basel, Switzerland.ORCID 0000-0003-3075-0665

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review we discuss how atomic force microscopy (AFM)-based single-molecule force spectroscopy (SMFS) approaches can be applied to monitor the unfolding and folding pathways of individual membrane proteins. Particularly, we focus on the insertion and folding of prokaryotic α-helical and β-barrel membrane proteins and compare their unassisted insertion and folding pathways with those assisted by insertases, translocases, and chaperones. We highlight examples in which SMFS is applied to detect the misfolding of membrane proteins such as induced by the lipid composition of the membrane or resulting from unassisted folding. While SMFS can monitor how soluble and transmembrane chaperones reduce misfolding of structural segments, it can also monitor how insertases and translocases guide their stepwise insertion and folding into membranes until the membrane protein has completed folding. Examples show that the inner membrane insertase YidC inserts structural segments in a random order, whereas the SecYEG translocon inserts transmembrane α-helices sequentially. However, when acting together, SecYEG dominates over YidC, consistent with the role of the translocon in directing membrane protein insertion and folding. Finally, we discuss β-barrel membrane protein folding in the bacterial outer membrane, including the β-barrel assembly machinery (BAM) complex, and how SMFS applied to native outer membrane vesicles provides access to monitor the insertion and folding of membrane proteins in the native-like membrane environment.

Indexed as

Membrane ProteinsMicroscopy, Atomic ForceProtein FoldingSingle Molecule ImagingEscherichia coli ProteinsMembrane Transport ProteinsEscherichia coli ProteinsMembrane ProteinsMembrane Transport Proteins

Identifiers

PMID42203195
PMCPMC13261791

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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.