Evidence map›Paper›PMID 29072706›Full record

ArticleNature protocols2017

Measuring protein structural changes on a proteome-wide scale using limited proteolysis-coupled mass spectrometry.

Simone Schopper, Abdullah Kahraman, Pascal Leuenberger, Yuehan Feng, Ilaria Piazza, Oliver Müller, Paul J Boersema, Paola Picotti

Abstract read
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In one paragraph

Article in Nature protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

152 citing papers in PubMed, 287 citations in OpenAlex.

  1. Review
  2. Catechol-Proceedings of the National Academy of Sciences of the United States of America · 2026
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92 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 3 countries.

Simone SchopperInstitute of Biochemistry, Department of Biology, ETH Zurich, Zurich, Switzerland.
Abdullah KahramanInstitute of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
Pascal LeuenbergerInstitute of Biochemistry, Department of Biology, ETH Zurich, Zurich, Switzerland.
Yuehan FengInstitute of Biochemistry, Department of Biology, ETH Zurich, Zurich, Switzerland.
Ilaria PiazzaInstitute of Biochemistry, Department of Biology, ETH Zurich, Zurich, Switzerland.
Oliver MüllerInstitute of Biochemistry, Department of Biology, ETH Zurich, Zurich, Switzerland.
Paul J BoersemaInstitute of Biochemistry, Department of Biology, ETH Zurich, Zurich, Switzerland.
Paola PicottiInstitute of Biochemistry, Department of Biology, ETH Zurich, Zurich, Switzerland.
ETH Zurich · CHUniversity of Copenhagen · DKUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein structural changes induced by external perturbations or internal cues can profoundly influence protein activity and thus modulate cellular physiology. A number of biophysical approaches are available to probe protein structural changes, but these are not applicable to a whole proteome in a biological extract. Limited proteolysis-coupled mass spectrometry (LiP-MS) is a recently developed proteomics approach that enables the identification of protein structural changes directly in their complex biological context on a proteome-wide scale. After perturbations of interest, proteome extracts are subjected to a double-protease digestion step with a nonspecific protease applied under native conditions, followed by complete digestion with the sequence-specific protease trypsin under denaturing conditions. This sequential treatment generates structure-specific peptides amenable to bottom-up MS analysis. Next, a proteomics workflow involving shotgun or targeted MS and label-free quantification is applied to measure structure-dependent proteolytic patterns directly in the proteome extract. Possible applications of LiP-MS include discovery of perturbation-induced protein structural alterations, identification of drug targets, detection of disease-associated protein structural states, and analysis of protein aggregates directly in biological samples. The approach also enables identification of the specific protein regions involved in the structural transition or affected by the binding event. Sample preparation takes approximately 2 d, followed by one to several days of MS and data analysis time, depending on the number of samples analyzed. Scientists with basic biochemistry training can implement the sample preparation steps. MS measurement and data analysis require a background in proteomics.

Indexed as

ProteolysisBiomarkersComplex MixturesDrug DesignEndopeptidase KFicainHeLa CellsHumansPronaseProtein Structure, SecondaryProtein Structure, TertiaryProteomeProteomicsQuality ControlSaccharomyces cerevisiaeTandem Mass SpectrometryBiomarkersComplex MixturesEndopeptidase KFicainPronaseProteomeThermolysinTrypsin

Identifiers

PMID29072706
OpenAlexW2765241646

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.