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Vosper, K. R.

Publications and source records attributed to Vosper, K. R..

3 recordsLinked to original sources

Navigating the oligomeric landscape of the periplasmic stress response protease-chaperone DegP with charge detection mass spectrometry

DegP is a periplasmic protease-chaperone essential for protein quality control and virulence factor trafficking in Gram-negative bacteria. In its apo form, DegP adopts a dynamic ensemble of oligomers derived from trimer building blocks through two competing self-assembly pathways. Upon engaging client proteins, apo DegP oligomers redistribute into discrete cage structures inside which the clients are encapsulated. The cage ensembles formed depend on the size of the bound clients, and notably can include 12mers, 24mers, and 60mers. Previous studies mapped the DegP oligmeric landscape using dynamic light scattering, analytical ultracentrifugation, nuclear magnetic resonance spectroscopy, and electron cryomicroscopy, modalities which in general report ensemble averages and often cannot directly delineate closely related coexisting species. Here, we apply charge detection mass spectrometry (CDMS) to directly measure the masses of individual DegP ions, resolving the complete oligomeric distribution in the absence and presence of four clients of increasing size. We reveal previously undetected odd-numbered oligomers and quantify the relative abundance of each assembly. Through heat-cool cycling CDMS experiments, we track cage distribution changes and reveal client protection and refolding, providing a direct view of the chaperone capabilities of DegP. These results further establish CDMS as a powerful single-molecule tool for dissecting heterogeneous protein assembly landscapes.

biochemistry↗

A universal buffer system for native LC-MS analysis of antibody-based therapeutics

Liquid chromatography coupled to mass spectrometry (LC-MS) is a powerful analytical technique for analyzing biological macromolecules. A long-standing challenge has been applying LC-MS at physiological pH under native conditions using volatile buffers. The predominant "buffer" used, ammonium acetate (AmAc, pKa 4.75 for acetic acid and 9.25 for ammonium), does not offer sufficient buffering capacity in the physiological pH range of 7.0-7.4. To address this, we evaluated a set of fluorinated ethylamines, 2-fluoroethylamine (MFEA, pKa 8.9), 2,2-difluoroethylamine (DFEA, pKa 7.2), and 2,2,2-trifluoroethylamine (TFEA, pKa 5.5), that together provide buffering across the 4.5-9.8 pH range. We show that protein separations on strong cation- and anion-exchange resins in these volatile mobile phases perform comparably to traditional non-volatile buffers, with similar elution profiles and analyte elution ranking, albeit with slightly broader peaks. Using fully volatile gradients of pH or ionic strength, we chromatographically resolved charge variants of protein analytes such as mAbs and bovine serum albumin. For many of the eluting LC peaks, we obtained high-resolution mass spectra capable of resolving glycoforms of antibodies. Hydrophobic interaction chromatography (HIC) in volatile mobile phases preserved native separation order and further resolved drug-to-antibody ratio (DAR) species of the antibody-drug conjugate brentuximab-vedotin. For each chromatography modality we further compare innovator and biosimilar antibodies, demonstrating the reproducibility of results in the proposed volatile compounds. Together, our results establish fluorinated ethylamines, in combination with ammonium acetate, as a universal volatile buffer system for native LC-MS, broadly applicable across major chromatographic modalities while maintaining compatibility with mass spectrometry.

biochemistry↗

HDgraphiX: A web-based tool for visualization of hydrogen deuterium exchange mass spectrometry data

SummaryHydrogen deuterium exchange mass spectrometry (HDX-MS) investigates protein structural changes by measuring deuterium incorporation into the protein amide backbone. Due to richness of information provided on protein conformational dynamics, HDX-MS data can be challenging to visualize effectively. To address this, we have developed HDgraphiX, a web-based tool that visualizes HDX data by processing outputs from two popular analysis software packages, DynamX (Waters Corp.) and HDExaminer (Sierra Analytics Inc). HDgraphiX performs statistical analyses, filters data based on statistical significance and presents the results in several forms of user-friendly publication-quality heatmaps (Chiclet plots). Unique features of this tool include the generation of Woods plots, volcano plots, and PyMOL colouring scripts, which are used to map deuterium uptake differences onto protein structures. Additionally, HDgraphiX offers numerous advanced options for customizing data processing and plotting without the need for manual data editing. Availability and ImplementationHDgraphiX is available free of charge for all users at https://hdgraphix.net, the Python script and HTML template are deposited at https://github.com/KentV-UofG/HDgraphiX.

biochemistry↗