Proteomics

Dataset Information

0

Glyco-DIA: a method for quantitative O-glycoproteomics with in silico-boosted glycopeptide libraries


ABSTRACT: We report a LC-MS/MS O-glycoproteomics strategy using Data Independent Acquisition (DIA) mode that holds the potential for enabling direct analysis of O-glycoproteins with characterization of sites and structures of O-glycans on a proteome-wide scale with quantification of stoichiometries. To explore the use of a DIA strategy for O-glycoproteomics, we built a spectral library of O-glycopeptides with the most common core1 O-glycan structures. This Glyco-DIA library consists of sublibraries obtained from cell lines and human serum, and it currently covers 2,076 O-glycoproteins (11,452 unique glycopeptide sequences) and the five most common core1 O-glycan structures. Applying the Glyco-DIA library to human serum without enrichment for glycopeptides enabled us to identify and quantify nearly 293 distinct glycopeptide sequences bearing up to 5 different core1 O-glycans from 159 glycoproteins in a singleshot analysis. The DIA method is expandable and widely applicable to different glycoproteomes, and it may represent the first direct and comprehensive approach to glycoproteomics.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

SUBMITTER: Sergey Vakhrushev  

LAB HEAD: Sergey Vakhrushev

PROVIDER: PXD011063 | Pride | 2019-11-19

REPOSITORIES: Pride

altmetric image

Publications

Glyco-DIA: a method for quantitative O-glycoproteomics with in silico-boosted glycopeptide libraries.

Ye Zilu Z   Mao Yang Y   Clausen Henrik H   Vakhrushev Sergey Y SY  

Nature methods 20190805 9


We report a liquid chromatography coupled to tandem mass spectrometry O-glycoproteomics strategy using data-independent acquisition (DIA) mode for direct analysis of O-glycoproteins. This approach enables characterization of glycopeptides and structures of O-glycans on a proteome-wide scale with quantification of stoichiometries (though it does not allow for direct unambiguous glycosite identification). The method relies on a spectral library of O-glycopeptides; the Glyco-DIA library contains su  ...[more]

Similar Datasets

2020-05-22 | PXD016618 | Pride
2021-09-09 | PXD018418 | Pride
2021-11-25 | PXD025407 | Pride
2020-10-19 | PXD017510 | Pride
2019-06-24 | PXD009955 | Pride
2019-04-01 | PXD011045 | Pride
2023-06-22 | PXD040847 | Pride
2018-04-26 | PXD007572 | Pride
2024-04-17 | PXD043197 | Pride
2024-04-17 | PXD043280 | Pride