Glycosylation and Glycoproteins Research

The paper reconstitutes two Maf-type fGT systems for flagellin sialylation, showing that Maf-1 is sufficient while Maf-2 requires GlfM, and identifies convergent evolution in bacterial glycosylation systems.

The paper maps O-Man glycoproteins in human cells and identifies substrate specificities of O-Man glycosylation pathways.

This study shows that neuronal activity increases mitochondrial O-GlcNAcylation, which helps neurons meet energy demands based on fuel availability.

The paper develops an optimized PASEF workflow for glycoproteomics, significantly increasing N-glycopeptide identifications in human plasma.

This paper uses a Boltzmann model to predict glycan structures from lectin binding data, achieving 88% accuracy for N-glycans and 87% for O-glycans in a test set.

This study identifies and characterizes a beta-1,4 galactosidase from Elizabethkingia meningoseptica that can remove galactose from living cell surfaces, named geGalaseI.

This paper shows that Neisseria gonorrhoeae uses sialic acid from the host to modify its surface, which helps it avoid neutrophil activation without needing the complement system.

This study identifies over 10,000 N-glycoforms in human brain and finds reduced sialylation and N-glycan branching, along with increased mannosylation and truncation in Alzheimer's disease.

This study identifies GPAA1 as a regulator of CD24 surface expression and shows that inhibiting GPAA1 enhances macrophage-mediated phagocytosis of ovarian cancer cells.

This paper describes mouse models with OGT mutations that exhibit neurodevelopmental defects, including microcephaly and cognitive impairments, to study OGT-CDG mechanisms and potential treatments.

The paper identifies site-specific glycan compositions of SARS-CoV-2 spike protein using mass spectrometry and lectin microarray, revealing key glycan structures relevant to vaccine design.

The paper optimizes a mucin-selective enrichment strategy to improve throughput, reduce sample input, and enhance glycopeptide signal for mucinome analysis.

This study identifies O-GlcNAcylation of mushroom body ribosomal subunits as essential for olfactory learning in Drosophila, showing that reducing O-GlcNAcylation impairs learning.

This study characterizes Cucumis melo agglutinin (CMA1), revealing its glycan-binding specificity and 3D structure, and compares it to the R-type lectin RCA1.

The paper identifies 436 O-GlcNAcylated proteins in Arabidopsis, revealing their involvement in diverse cellular processes and crosstalk with O-fucosylation.

This study shows N-glycosylation prevents protein aggregation by steric hindrance, especially in proteins prone to misfolding, using computational and biochemical analyses.

This study shows that collagen mineralization increases NK cell resistance in breast cancer by thickening the tumor cell glycocalyx through enhanced sialylation.

This paper develops a stop-and-go chemoenzymatic method to synthesize asymmetrical bi-antennary glycans and uses them to study receptor binding evolution of human influenza A viruses.

The paper identifies N-glycans from the porcine whipworm Trichuris suis that are recognized by the immune system and exhibit species-specific features.

The paper introduces a regular expression framework for glycan structures to automate analysis of glycan sequences and annotate motifs, enabling differential expression and lectin binding specificity studies.

The paper identifies 16 genomic loci associated with IgG galactosylation through GWAS and validates three genes using CRISPR/dCas9 in an in vitro system.

The paper characterizes the evolution of the brain N-glycome across primates, finding increased complexity and human-specific sialic acid linkage changes.

The paper shows that EOGT and O-GlcNAc glycans provide residual Notch signaling, enabling viability in mice lacking Pofut1 in the intestine.

This paper develops a chemical proteomic method to profile site-specific glycosylation of low-abundance plasma CEA in cancer patients, revealing differential glycoforms associated with cancer types and progression stages.

The paper identifies distinct spatial distributions of N-glycans in the mouse brain using lectin-based staining.

The paper develops a plasma N-glycoproteomics method to identify high-specificity disease biomarkers by detecting site-specific glycosylation abnormalities in genetic diseases.

GlycoDraw generates high-quality, SNFG-compliant glycan figures in Python, enabling automated annotation and integration into glycan analysis workflows.

The paper introduces GlycoPaSER, a real-time glycopeptide identification tool that decomposes spectra and uses specialized algorithms for real-time analysis, matching performance with existing software.

The paper identifies a bipartite sialylation pathway in Drosophila where glia and neurons perform distinct roles in regulating neural transmission and stress tolerance.

GlyCompareCT preprocesses glycomics data to address sparsity and non-independence, improving statistical power for downstream analysis.