Glycosylation and Glycoproteins Research

This study compares glycoproteomics search algorithms, finding that O-Pair excels in O-glycopeptide identification while Byonic and pGlyco perform best for N-glycoproteomics.

The paper examines how carbohydrate modifications on the SARS-CoV-2 RBD affect IgG reactivity, finding that reduced sialylation and fucosylation enhance antibody binding.

This study shows that OGT mutations impair cognitive function in Drosophila by disrupting O-GlcNAcylation, and that blocking OGA can correct the deficit.

The paper investigates glycosylation changes in glial cells during spinal cord injury inflammation, identifying potential therapeutic targets for glycotherapeutics.

pGlycoQuant is a tool for quantitative glycopeptide analysis that reduces missing values using a deep residual network, enabling site-specific glycosylation studies in hepatocellular carcinoma.

This paper introduces glyBERT, a deep learning model that captures local and global context in glycan structures to improve prediction and generation of glycan functional properties.

This paper expands the Rosetta software suite with tools for glycan modeling, density fitting, and rational sequon design, achieving high accuracy in predicting and building glycan structures.

The paper suggests that viruses, including SARS-CoV-2, may use NGLY1/PNG-1 to edit N-glycosylated asparagines to aspartic acid, and proposes vaccinating with N to D edited viral peptides to enhance immunity.

GlycoSHIELD is a pipeline that grafts glycan conformers onto protein structures to model glycan impact on protein dynamics and interactions.

This study identifies differentially expressed glycosyltransferases across 16 cancers using a multifaceted genomics approach and integrates findings with experimental evidence.

This study integrates metabolomics and proteomics data from NGLY1 deficiency patient samples and cellular models to identify molecular phenotypes linked to immune activation and metabolic disturbances.

The paper improves N-glycopeptide identification using fragmentation prediction and glycome network smoothing, demonstrating performance gains on existing datasets.

pGlyco3 is a glycan-first search engine for analyzing glycopeptides and modified saccharide units, offering faster performance without sacrificing accuracy.

The paper shows EthN-P on Man2 is the preferential bridge for GPI-AP attachment, challenging the current view of GPI anchoring and explaining PIGG deficiency mechanisms.

The paper analyzes glycosylation changes in GGTA1/CMAH DKO pig RBCs using mass spectrometry and lectin blotting, finding reduced sialylation and fucosylation.

This paper introduces an enrichment-free method to analyze native O-glycoproteomes, revealing high O-glycosylation in antibodies from autoimmune diseases.

The paper demonstrates the use of GlycReSoft to analyze site-specific glycosylation of the SARS-CoV-2 spike protein from glycoproteomics data.

This paper develops a deep learning model to extract evolutionary information from glycans, revealing insights into host-pathogen interactions and phenotypic diversity.

The paper detects substrate glycans of fucosyltransferases using fluorescent fucose incorporation to study their specificity and interactions with sialylation.

This paper develops a language model for glycans, SweetTalk, to analyze substructure motifs, classify linkages, and predict immunogenicity with 92% accuracy.

The paper introduces EXoO-Tn, a method to map Tn-glycosylation sites in the human proteome, identifying 947 sites from 480 glycoproteins in Jurkat cells.

The paper identifies N-glycan modifications on mammalian Y RNAs, showing RNA can be a scaffold for glycosylation in the secretory pathway.

The paper identifies a missense variant in B4GALT1 associated with lower LDL-C and fibrinogen, supported by genetic, functional, and glycan profiling evidence.

The paper introduces GlyCompare, a glycomic analysis method that addresses sparsity and non-independence by leveraging biosynthetic pathways, revealing biological insights in glycoprofiles and human milk oligosaccharides.

The paper investigates protein expression levels of galactose and N-acetylgalactosamine transferases in schizophrenia brain tissue and identifies reduced B4GALT1 and GALNT16.

The paper describes an e-infrastructure for recording glycomic mass spectrometric data in compliance with MIRAGE reporting guidelines, enabling standardized data submission to a public repository.

The paper finds increased ST8SIA2 protein expression in schizophrenia superior temporal gyrus, suggesting a potential compensatory mechanism for impaired PSA-NCAM synthesis.

The paper identifies dysregulated mRNA expression of 36 glycosylation enzymes in schizophrenia patients, suggesting disrupted glycosylation pathways contribute to the disorder.