Evidence map›Paper›PMID 22410873›Full record

ArticleJournal of the American Society for Mass Spectrometry2012

Validation of membrane protein topology models by oxidative labeling and mass spectrometry.

Yan Pan, Xiang Ruan, Miguel A Valvano, Lars Konermann

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Precursor Reagent Hydrophobicity Affects Membrane Protein Footprinting.Journal of the American Society for Mass Spectrometry · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Diethylpyrocarbonate Footprints a Membrane Protein in Micelles.Journal of the American Society for Mass Spectrometry · 2021
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Mass spec studio for integrative structural biology.Structure (London, England : 1993) · 2014
    Article
  17. Review
  18. Review
  19. Article
  20. Electrospray ionization-induced protein unfolding.Journal of the American Society for Mass Spectrometry · 2012
    Article
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.

Yan PanDepartment of Chemistry, The University of Western Ontario, London, Ontario, N6A 5B7, Canada.
Xiang Ruan
Miguel A Valvano
Lars Konermann

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Computer-assisted topology predictions are widely used to build low-resolution structural models of integral membrane proteins (IMPs). Experimental validation of these models by traditional methods is labor intensive and requires modifications that might alter the IMP native conformation. This work employs oxidative labeling coupled with mass spectrometry (MS) as a validation tool for computer-generated topology models. ·OH exposure introduces oxidative modifications in solvent-accessible regions, whereas buried segments (e.g., transmembrane helices) are non-oxidizable. The Escherichia coli protein WaaL (O-antigen ligase) is predicted to have 12 transmembrane helices and a large extramembrane domain (Pérez et al., Mol. Microbiol. 2008, 70, 1424). Tryptic digestion and LC-MS/MS were used to map the oxidative labeling behavior of WaaL. Met and Cys exhibit high intrinsic reactivities with ·OH, making them sensitive probes for solvent accessibility assays. Overall, the oxidation pattern of these residues is consistent with the originally proposed WaaL topology. One residue (M151), however, undergoes partial oxidation despite being predicted to reside within a transmembrane helix. Using an improved computer algorithm, a slightly modified topology model was generated that places M151 closer to the membrane interface. On the basis of the labeling data, it is concluded that the refined model more accurately reflects the actual topology of WaaL. We propose that the combination of oxidative labeling and MS represents a useful strategy for assessing the accuracy of IMP topology predictions, supplementing data obtained in traditional biochemical assays. In the future, it might be possible to incorporate oxidative labeling data directly as constraints in topology prediction algorithms.

Indexed as

AlgorithmsAmino Acid SequenceCarbon-Oxygen LigasesComputational BiologyEscherichia coli ProteinsLipopolysaccharidesMass SpectrometryMembrane ProteinsMethionineModels, MolecularMolecular Sequence AnnotationMolecular Sequence DataOxidation-ReductionPeptide FragmentsPeptide MappingProtein ConformationCarbon-Oxygen LigasesEscherichia coli ProteinsLipopolysaccharidesMembrane ProteinsMethioninePeptide FragmentsWaaL protein, E coli

Identifiers

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Registered trials

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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.