bioRxiv preprint doi: https://doi.org/10.1101/2020.05.20.105726; this version posted May 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. SugarQuant: a streamlined pipeline for multiplexed quantitative site- specific N-glycoproteomics Pan Fang1*, Yanlong Ji1, 2, §*, Ivan Silbern1, 3, Carmen Doebele2, Momchil Ninov1, Christof Lenz1,3, Thomas Oellerich2, 4, 5, Kuan-Ting Pan1, §, ¶, Henning Urlaub1, 3, ¶ 1Bioanalytical Mass Spectrometry Group, Max Planck Institute for Biophysical Chemistry, 37077 Goettingen, Germany; 2Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany; 3Institute of Clinical Chemistry, University Medical Center Goettingen, 37075 Goettingen, Germany; 4German Cancer Consortium/German Cancer Research Center, 69117 Heidelberg, Germany; 5Frankfurt Cancer Institute, Goethe University, 60596 Frankfurt am Main, Germany; *These authors contributed to the work equally. §Current affiliation: Frankfurt Cancer Institute, Goethe University, 60596, Frankfurt am Main, Germany; Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany. ¶For correspondence:
[email protected] [email protected] Abstract Site-specific regulation of protein N-glycosylation is essential in human cells. However, accurate quantification of glycosylation sites and their individual glycan moieties in a cell-wide manner is still technically challenging. Here, we introduce SugarQuant, an integrated mass spectrometry-based pipeline comprising fast protein aggregation capture (PAC)-based sample preparation, optimized multi-notch MS3 LC-MS acquisition (Glyco- SPS-MS3) and a data-processing tool (GlycoBinder) that allows for confident, global identification and quantification of intact glycopeptides in complex biological samples.