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Pan, K.-T.

Publications and source records attributed to Pan, K.-T..

2 recordsLinked to original sources
bioRxiv2021

Evaluation and Optimization of High-Field Asymmetric Waveform Ion Mobility Spectrometry for Multiplexed Quantitative Site-specific N-glycoproteomics

The heterogeneity and complexity of glycosylation hinder the depth of site-specific glycoproteomics analysis. High-field asymmetric-waveform ion-mobility spectrometry (FAIMS) has shown to improve the scope of bottom-up proteomics. The benefits of FAIMS for quantitative N-glycoproteomics have not been investigated yet. In this work, we optimized FAIMS settings for N-glycopeptide identification, with or without the tandem mass tag (TMT) label. The optimized FAIMS approach significantly increased the identification of site-specific N-glycopeptides derived from the purified IgM protein or human lymphoma cells. We explored in detail the changes in FAIMS mobility caused by N-glycopeptides with different characteristics, including TMT labeling, charge state, glycan type, peptide sequence, glycan size and precursor m/z. Importantly, FAIMS also improved multiplexed N-glycopeptide quantification, both with the standard MS2 acquisition method and with our recently developed Glyco-SPS-MS3 method. The combination of FAIMS and Glyco-SPS-MS3 provided the highest quantitative accuracy and precision. Our results demonstrate the advantages of FAIMS for improved mass-spectrometry-based qualitative and quantitative N-glycoproteomics. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=75 SRC="FIGDIR/small/436434v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@126b92forg.highwire.dtl.DTLVardef@147d6e5org.highwire.dtl.DTLVardef@16d6eb0org.highwire.dtl.DTLVardef@17dfe2a_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗
bioRxiv2020

SugarQuant: a streamlined pipeline for multiplexed quantitative site-specific N-glycoproteomics

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. PAC greatly reduces the overall samplehandling time without compromising sensitivity. Glyco-SPS-MS3 combines high-resolution MS2 and MS3 scans, resulting in enhanced reporter signals of isobaric mass tags, improved detection of N-glycopeptide fragments, and significantly lowered interference in multiplexed quantification. GlycoBinder enables streamlined processing of Glyco-SPS-MS3 data, followed by a two-step database search which increases the identification rates of intact glycopeptides by up to 22% when compared with one-step database search strategies. SugarQuant was applied to identify and quantify more than 5,000 unique glycoforms in Burkitts lymphoma cells, and determined complex site-specific glycosylation changes that occurred upon inhibition of fucosylation at high confidence.

biochemistry↗