title: Validation of membrane protein topology models by oxidative labeling and mass spectrometry.
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.
authors.affiliation: Department of Chemistry, The University of Western Ontario, London, Ontario, N6A 5B7, Canada.
authors.forename: Yan
authors.initials: Y
authors.lastname: Pan
authors.forename: Xiang
authors.initials: X
authors.lastname: Ruan
authors.forename: Miguel A
authors.initials: MA
authors.lastname: Valvano
authors.forename: Lars
authors.initials: L
authors.lastname: Konermann
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D019729:Carbon-Oxygen Ligases / Q000737:chemistry; D019295:Computational Biology; D029968:Escherichia coli Proteins / Q000737:chemistry; D008070:Lipopolysaccharides; D013058:Mass Spectrometry / Q000379:methods*; D008565:Membrane Proteins / Q000737:chemistry*; D008715:Methionine / Q000737:chemistry; D008958:Models, Molecular; D058977:Molecular Sequence Annotation; D008969:Molecular Sequence Data; D010084:Oxidation-Reduction; D010446:Peptide Fragments / Q000737:chemistry; D010449:Peptide Mapping / Q000379:methods*; D011487:Protein Conformation; D015203:Reproducibility of Results
chemical_list: D029968:Escherichia coli Proteins; D008070:Lipopolysaccharides; D008565:Membrane Proteins; D010446:Peptide Fragments; D008715:Methionine; D019729:Carbon-Oxygen Ligases; C571195:WaaL protein, E coli