Systems-wide analysis of glycoprotein conformational changes by limited deglycosylation assay.


Journal

Journal of proteomics
ISSN: 1876-7737
Titre abrégé: J Proteomics
Pays: Netherlands
ID NLM: 101475056

Informations de publication

Date de publication:
30 09 2021
Historique:
received: 07 06 2021
revised: 08 08 2021
accepted: 14 08 2021
pubmed: 28 8 2021
medline: 25 2 2023
entrez: 27 8 2021
Statut: ppublish

Résumé

A new method to probe the conformational changes of glycoproteins on a systems-wide scale, termed limited deglycosylation assay (LDA), is described. The method measures the differential rate of deglycosylation of N-glycans on natively folded proteins by the common peptide:N-glycosidase F (PNGase F) enzyme which in turn informs on their spatial presentation and solvent exposure on the protein surface hence ultimately the glycoprotein conformation. LDA involves 1) protein-level N-deglycosylation under native conditions, 2) trypsin digestion, 3) glycopeptide enrichment, 4) peptide-level N-deglycosylation and 5) quantitative MS-based analysis of formerly N-glycosylated peptides (FNGPs). LDA was initially developed and the experimental conditions optimized using bovine RNase B and fetuin. The method was then applied to glycoprotein extracts from LLC-MK2 epithelial cells upon treatment with dithiothreitol to induce endoplasmic reticulum stress and promote protein misfolding. Data from the LDA and 3D structure analysis showed that glycoproteins predominantly undergo structural changes in loops/turns upon ER stress as exemplified with detailed analysis of ephrin-A5, GALNT10, PVR and BCAM. These results show that LDA accurately reports on systems-wide conformational changes of glycoproteins induced under controlled treatment regimes. Thus, LDA opens avenues to study glycoprotein structural changes in a range of other physiological and pathophysiological conditions relevant to acute and chronic diseases. SIGNIFICANCE: We describe a novel method termed limited deglycosylation assay (LDA), to probe conformational changes of glycoproteins on a systems-wide scale. This method improves the current toolbox of structural proteomics by combining site and conformational-specific PNGase F enzymatic activity with large scale quantitative proteomics. X-ray crystallography, nuclear magnetic resonance spectroscopy and cryoEM techniques are the major techniques applied to elucidate macromolecule structures. However, the size and heterogeneity of the oligosaccharide chains poses several challenges to the applications of these techniques to glycoproteins. The LDA method presented here, can be applied to a range of pathophysiological conditions and expanded to investigate PTMs-mediated structural changes in complex proteomes.

Identifiants

pubmed: 34450331
pii: S1874-3919(21)00254-2
doi: 10.1016/j.jprot.2021.104355
pii:
doi:

Substances chimiques

Glycopeptides 0
Glycoproteins 0
Oligosaccharides 0
Polysaccharides 0
Peptide-N4-(N-acetyl-beta-glucosaminyl) Asparagine Amidase EC 3.5.1.52

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104355

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Simon Ngao Mule (SN)

GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil.

Livia Rosa-Fernandes (L)

GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil.

João V P Coutinho (JVP)

GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil.

Vinícius De Morais Gomes (VM)

GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil; Department of Biochemistry, Institute of Chemistry, University of Sao Paulo, Sao Paulo, Brazil.

Janaina Macedo-da-Silva (J)

GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil.

Verônica Feijoli Santiago (VF)

GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil.

Daniel Quina (D)

GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil.

Gilberto Santos de Oliveira (GS)

GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil.

Morten Thaysen-Andersen (M)

Department of Molecular Sciences, Macquarie University, Sydney, Australia.

Martin R Larsen (MR)

Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, DK, Denmark.

Letícia Labriola (L)

Department of Biochemistry, Institute of Chemistry, University of Sao Paulo, Sao Paulo, Brazil.

Giuseppe Palmisano (G)

GlycoProteomics Laboratory, Department of Parasitology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil. Electronic address: palmisano.gp@usp.br.

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Classifications MeSH