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Author ORCID Identifier
0000-0002-4178-4409
AccessType
Campus-Only Access for Five (5) Years
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Chemistry
Year Degree Awarded
2022
Month Degree Awarded
February
First Advisor
Igor A. Kaltashov
Second Advisor
Richard W. Vachet
Third Advisor
Mingxu You
Fourth Advisor
Stephen J. Eyles
Subject Categories
Analytical Chemistry
Abstract
Structural heterogeneity remains one of the most significant factors complicating (and in some extreme cases making impossible) electrospray ionization mass spectrometry (ESI MS)-based analysis in a variety of fields ranging from personalized medicine to industrial-scale production of recombinant proteins, including extensively glycosylated proteins, antibody-drug conjugates, gene therapy products, and heparin-derived medicines. The broad mass distribution leads to a significant overlap of ionic signals representing different charge states, resulting in a continuum spectrum with no distinguishable features that can be used to determine the ionic charge and calculate the mass. To address these problems, novel mass spectrometry-based approaches are developed that incorporate with gas-phase ion/ion reactions to expand the capabilities of ESI MS in the field of structurally heterogeneous macromolecules and their assemblies. The list includes SRAS-CoV-2 spike protein and its complexes with the host cell receptor, immunogenic complexes formed by heparin and platelet factor 4 in the development of viii heparin-induced thrombocytopenia disorder, large complexes formed by antibodies cross-linked by bivalent antigens, and haptoglobin and its complexes with hemoglobin.
DOI
https://doi.org/10.7275/26830739.0
Recommended Citation
Yang, Yang, "STUDIES OF HETEROGENEOUS MACROMOLECULES USING NOVEL ESI MASS SPECTROMETRY BASED APPROACHES" (2022). Doctoral Dissertations. 2486.
https://doi.org/10.7275/26830739.0
https://scholarworks.umass.edu/dissertations_2/2486
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.