Unknown

Dataset Information

Metabolic Control of Glycosylation Forms for Establishing Glycan-Dependent Protein Interaction Networks.


ABSTRACT: Protein-protein interactions (PPIs) provide essential insights into the complex molecular mechanisms and signaling pathways within cells that regulate development and disease-related phenotypes. However, for membrane proteins, the impact of various forms of glycosylation has often been overlooked in PPI studies. In this study, we introduce a novel approach, glycan-dependent affinity purification followed by mass spectrometry (GAP-MS), to assess variations in PPIs for any glycoprotein of interest under different glycosylation conditions. As a proof of principle, we selected four glycoproteins-BSG, CD44, EGFR, and SLC3A2-as baits to compare their co-purified partners across five metabolically controlled glycan conditions. The findings demonstrate the capability of GAP-MS to identify PPIs inf

SUBMITTER: Liu X 

PROVIDER: S-EPMC11565926 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature