Glycosylation and Glycoproteins Research

GlycansToGraphs is a tool that identifies and visualizes mass relationships in glycopeptide spectra without requiring databases.

This study removes O-GlcNAc from mouse preimplantation embryos and finds it slows embryonic growth without affecting genome activation.

This study presents the first large-scale IgA glycomics dataset from twins, identifies shared and specific genetic loci influencing IgA and IgG glycosylation, and shows genetic conservation across ethnicities.

This study reveals the substrate recognition and specificity mechanisms of Alg1 using molecular dynamics simulations and mutant assays.

The paper identifies dysregulation of PLOD3 in oligodendrocytes as an upstream regulator of COL4A5, linked to amyloid fiber formation in Alzheimer's disease.

This study identifies specific N-glycans on Notch1 receptor that regulate Jagged-1 induced Notch signaling and myogenic differentiation of vascular stem cells.

The paper develops an improved N-glycoproteomic workflow to analyze low-abundant glycoproteins in human blood plasma, enabling the identification of 1,929 N-glycopeptides and 942 N-glycosites.

This study investigates OGT-CDG using stem cells, finding disrupted O-GlcNAc homeostasis and morphology during neuroectoderm differentiation but preserved stemness and differentiation potential.

The paper reports a draft of human tissue N-glycans of glycoRNA across 12 organs using mass spectrometry-based N-glycomics.

The paper introduces a high-throughput glycoproteomics method to quantify brain glycoproteome changes induced by gut microbiome composition.

This study identifies OGT-mediated O-GlcNAcylation of HK1 as a mechanism regulating glycolytic metabolon assembly on mitochondria, enhancing ATP production and synaptic function.

This paper introduces a computational framework for differential glycomics expression analysis, demonstrating improved robustness and reliability through specialized methods and an open-source tool.

RAMZIS is an R package that improves the interpretation of glycoproteomics data by assessing the significance of glycosylation changes using similarity metrics and quality evaluation.

The paper shows that an OGT variant causes reduced pluripotent stem cell self-renewal and lower stem cell marker levels in mouse embryonic stem cells.

The paper maps N-glycoproteome changes during neutrophil granulopoiesis, showing granule-specific glycosylation and remodelling driven by protein expression shifts.

The paper uses exome sequencing to identify rare variants in glycosyltransferase genes affecting transferrin and IgG glycosylation, linking them to disease-related traits.

GlyLES converts IUPAC-condensed glycan notation to SMILES using a grammar-based approach, enabling atomic-level representation and applications in molecular modeling and machine learning.

The paper characterizes N-glycosylation at synaptic vesicles and neuronal plasma membranes in mouse brain, identifying highly fucosylated N-glycans enriched in synaptic vesicles.

The paper develops a fluorescent probe to visualize O-GlcNAcylation in Drosophila embryos, showing its decline during early development and its role in neurodevelopmental gene regulation.

OxoScan-MS enables sensitive and scalable glycoproteome profiling of plasma samples, revealing differential glycosylation in severe COVID-19 patients.

The paper characterizes changes in N-glycosylation and related molecular signatures in the Parkinsonian human nigro-striatal region, linking them to endoplasmic reticulum stress and potential therapeutic implications.

This paper determines the homodimeric structure of LARGE1, a glycosyltransferase, revealing its dimerization mechanism and how disease mutations affect its function.

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.