AI Article Synopsis
- Glycosylation's complexity complicates glycoproteomics analysis, but High-field asymmetric-waveform ion-mobility spectrometry (FAIMS) enhances this field, particularly in quantitative assessments.
- This study optimized FAIMS for identifying glycopeptides, both with and without tandem mass tag (TMT) labels, resulting in a significant uptick in identifying site-specific glycopeptides from purified IgM and human lymphoma cells.
- The research highlighted FAIMS's effectiveness in improving both the identification and quantification of glycopeptides, particularly through the new Glyco-SPS-MS3 method, leading to enhanced accuracy and precision in mass spectrometry-based glycoproteomics.
Article 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 -glycoproteomics have not been investigated yet. In this work, we optimized FAIMS settings for -glycopeptide identification, with or without the tandem mass tag (TMT) label. The optimized FAIMS approach significantly increased the identification of site-specific -glycopeptides derived from the purified immunoglobulin M (IgM) protein or human lymphoma cells. We explored in detail the changes in FAIMS mobility caused by -glycopeptides with different characteristics, including TMT labeling, charge state, glycan type, peptide sequence, glycan size, and precursor /. Importantly, FAIMS also improved multiplexed -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 -glycoproteomics.
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| http://dx.doi.org/10.1021/acs.analchem.1c00802 | DOI Listing |
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