Parsimonious Charge Deconvolution for Native Mass Spectrometry

glycoprotein 0301 basic medicine Spectrometry, Mass, Electrospray Ionization maximum entropy Daclizumab Glycosylation Entropy Static Electricity Cetuximab high-resolution native mass spectrometry Antibodies, Monoclonal, Humanized Peptide Mapping parsimony 03 medical and health sciences cetuximab Humans Trypsin intact mass Glycoproteins algorithm Properdin factor P Infliximab Peptide Fragments Solutions properdin daclizumab monoclonal antibody Immunoglobulin G Proteolysis infliximab Algorithms
DOI: 10.1021/acs.jproteome.7b00839 Publication Date: 2018-01-29T14:10:51Z
ABSTRACT
Charge deconvolution infers the mass from over charge (m/z) measurements in electrospray ionization spectra. When applied a wide input m/z or broad target range, charge-deconvolution algorithms can produce artifacts, such as false masses at one-half one-third of correct mass. Indeed, maximum entropy term objective function MaxEnt, most commonly used algorithm, favors deconvolved spectrum with many peaks one fewer peaks. Here we describe new "parsimonious" algorithm that produces artifacts. The is especially well-suited to high-resolution native spectrometry intact glycoproteins and protein complexes. Deconvolution spectra poses special challenges due salt small molecule adducts, multimers, ranges, lower states. We demonstrate performance on range samples. On heavily glycosylated plasma properdin glycoprotein, could deconvolve monomer dimer simultaneously and, when focused monomer, gave accurate interpretable for glycoforms had previously been analyzed manually using rather than masses. therapeutic antibodies, facilitated analysis extensions, truncations, Fab glycosylation. facilitates use qualitative quantitative assemblies.
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