Development and application of glyco-bioinformatics packages for targeted quantitation

Jansen, B.C. (2017)

Doctoral Thesis

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).

• Glycomics
• Mass spectrometry
• Bioinformatics
• Glycoproteomics
• Pregnancy
• Rheumatoid arthritis
• Chromatography

• All authors: Jansen, B.C.
• Editor(s): Jansen B.C.
• Supervisor: Wuhrer, M.; Deelder, A.M.
• Co-supervisor: Falck, D.
• Committee: Lisacek, F.; Lankester, A.C.; Mons, B.; Irth, H.; Houwing-Duistermaat, J.J.
• Qualification: Doctor (dr.)
• Awarding Institution: Medicine, Leiden University
• Date: 2017-10-10
• ISBN (print): 9789462957237