Development and application of glyco-bioinformatics packages for targeted quantitation

Author(s):
Jansen, B.C.
Editor(s):
Jansen B.C.
Published
2017
Publication type
Doctoral Thesis

Abstract

This dissertation describes the development of glyco-bioinformatics tools that facilitate the high-throughput data processing of glycomics and glycoproteomics experiments, specifically for both MALDI-TOF-MS (Chapter 2) and LC-ESI-MS (Chapter 3). The developed methods also provide various quality control parameters that assist the researcher in curating both the measured spectra and quantified analytes, thereby providing high-quality data in a high-throughput manner.

The tools that were developed within this thesis have been used to identify the influence of glycosylation on trypsin efficacy of Immunoglobulin G (Chapter 3) and two biological cohorts. Specifically, to investigate the serum N-glycosylation during and after pregnancy (Chapter 5) and to identify the differences in the N-glycosylation between maternal and fetal serum and IgG (Chapter 6).

GlycomicsMass spectrometryBioinformaticsGlycoproteomicsPregnancyRheumatoid arthritisChromatography
Defense date
2017-10-10
Language
English
Supervisor(s)
Wuhrer, M.; Deelder, A.M.
Advisor(s)
Falck, D.
Committee member(s)
Lisacek, F.; Lankester, A.C.; Mons, B.; Irth, H.; Houwing-Duistermaat, J.J.
Qualification
Ph.D.
Degree granting institution
Medicine, Leiden University, Leiden
hdl
1887/56251
ISBN(s)
9789462957237