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
AUTHORS (12)
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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