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Evaluation and optimization of high-field asymmetric waveform ion-mobility spectrometry for multiplexed quantitative site-specific N-glycoproteomics

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Fang,  P.
Research Group of Bioanalytical Mass Spectrometry, MPI for Biophysical Chemistry, Max Planck Society;

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Silbern,  I.
Research Group of Bioanalytical Mass Spectrometry, MPI for Biophysical Chemistry, Max Planck Society;

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Oellerich,  T.
Research Group of Bioanalytical Mass Spectrometry, MPI for biophysical chemistry, Max Planck Society;

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Pan,  K. T.
Research Group of Bioanalytical Mass Spectrometry, MPI for Biophysical Chemistry, Max Planck Society;

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Urlaub,  H.
Research Group of Bioanalytical Mass Spectrometry, MPI for biophysical chemistry, Max Planck Society;

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Citation

Fang, P., Ji, Y., Silbern, I., Viner, R., Oellerich, T., Pan, K. T., et al. (2021). Evaluation and optimization of high-field asymmetric waveform ion-mobility spectrometry for multiplexed quantitative site-specific N-glycoproteomics. Analytical Chemistry, 93(25), 8846-8855. doi:10.1021/acs.analchem.1c00802.


Cite as: https://hdl.handle.net/21.11116/0000-0009-58AA-5
Abstract
The heterogeneity and complexity of glycosylation hinder the depth of site-specific glycoproteomics analysis. High-field asymmetric-waveform ion-mobility spectrometry (FAIMS) has been 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 immunoglobulin M (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 methods provided the highest quantitative accuracy and precision. Our results demonstrate the advantages of FAIMS for improved mass spectrometry-based qualitative and quantitative N-glycoproteomics.