Evidence map›Paper›PMID 42346971›Full record

ArticleMembranes2026

Optimized Digestion Conditions for Membrane Protein Footprinting and Mass Spectrometry Analysis.

Ming Cheng, Xinzhu Li, Lin Bai, Weikai Li, Michael L Gross

Abstract read
In one paragraph

Article in Membranes, 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
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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

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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

5 authors.

Ming ChengShandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai 264117, China.ORCID 0000-0002-1581-6382
Xinzhu LiDepartment of Chemistry, Washington University, St. Louis, MO 63130, USA.
Lin BaiShandong Laboratory of Yantai Drug Discovery, Bohai Rim Advanced Research Institute for Drug Discovery, Yantai 264117, China.
Weikai LiDepartment of Biochemistry and Molecular Biophysics, Washington University, St. Louis, MO 63130, USA.
Michael L GrossDepartment of Chemistry, Washington University, St. Louis, MO 63130, USA.

Funding

NEW CHEMICAL PROBES ENABLE MASS SPECTROMETRY-BASED FOOTPRINTING OF HUMAN PROTEIN STRUCTURE IN LIPID MEMBRANES AND CELLSR01GM131008 · NIGMS · WASHINGTON UNIVERSITY · PI MICHAEL L GROSS, Weikai Li · 2019 to 2026
$3.8M
National Institutes of Health USA R01GM13100802NIGMS NIH HHS R01 GM131008
6 · The paper itself

Abstract

Integral membrane proteins (IMPs), which constitute 50-60% of drug targets, play essential roles in numerous biological processes but remain underrepresented in conventional bottom-up and structural proteomics owing to their hydrophobicity and resistance to proteolysis. Although advances in IMP proteomics have improved global IMP detection, most efforts focus on proteome-scale protein identification rather than targeted structural analysis. Protein footprinting and cross-linking, two approaches in structural proteomics, require high sequence coverage and protein digestion to peptides of suitable length for structural elucidation, necessitating optimized digestion condition for individual IMPs. Here, we report a digestion protocol tailored for structural mass spectrometry and evaluate its performance by using a single amphipathic IMP model featuring distinct extramembrane and transmembrane domains. We evaluated the use of various protease-additive combinations and applied filter-aided sample preparation (FASP) to remove detergents and surfactants efficiently prior to MS analysis. The optimized conditions consistently yielded >90% sequence coverage. Guided by MS retention time calibration and hydrophobic factor simulations, we identified a "sweet spot" for transmembrane peptide detection. Notably, although cleavable surfactants can enhance proteome-wide coverage, our results show that they are not essential for single protein studies as they are in structural proteomics. Instead, detergent removal, protease selection, and generation of suitably sized peptides are critical for enabling reliable bottom-up structural analysis of IMPs. The protocol developed here provides a practical framework for optimizing digestion conditions in IMP characterization.

Indexed as

filter-aided sample preparation (FASP)mass spectrometrymembrane proteinmembrane protein digestionprotein footprintingvitamin K epoxide reductase (VKOR)

Identifiers

PMID42346971
PMCPMC13304333

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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.