Glycosylation and Glycoproteins Research

The paper identifies and compares N-glycan structures from various dietary protein sources, showing differences in glycan composition based on host organism and biosynthetic pathways.

The paper uses CRISPR screens and lectin microarrays to identify TM9SF3 and the CCC complex as novel regulators of high mannose N-glycan synthesis.

This study introduces Opto-OGT, an optogenetic tool to control O-GlcNAc modification, showing its ability to modulate mTORC and AKT signaling in response to light.

The paper identifies an ER pathway that regulates N-glycosylation by modulating OST-A activity, impacting cell-surface signaling and tissue development.

This study quantifies co-occupancy of N- and O-glycopeptides in mucins and other glycoproteins, showing higher prevalence in mucins and the need for electron-based methods for accurate site-specific analysis.

This study identifies AMAN-3 as a Golgi α-mannosidase essential for tri-fucosylation of nematode N-glycans, which affects growth and behavior in C. elegans.

The paper uses multi-omics analysis to show OGT regulates aneuploidy by fine-tuning multiple cellular pathways through O-GlcNAcylation.

A drug repurposing screen in a Drosophila model of DPAGT1-CDG identified dopamine D2 receptor inhibition as a potential therapeutic strategy.

This paper develops a phage-based liquid lectin array to detect subtle glycocalyx differences by displaying multivalent lectins on DNA-barcoded M13 phage.

This study identifies synaptogenesis and sleep stability defects in a Drosophila model of OGT intellectual disability and shows partial rescue by modulating OGA activity.

This paper reports the crystal structure of Nictaba, revealing its carbohydrate-binding properties and a novel lectin dimerization mode.

This paper introduces a method to measure glycan recognition profiles of lectins on live cells using a liquid glycan array (LiGA) platform and next-generation sequencing.

The paper introduces GlycoShape, an open-access database and tool to restore glycosylation to protein structures using molecular dynamics simulations and public structural data.

This study identifies DHRSX gene absence as the cause of dolichol synthesis defect in Lec5 and Lec9 CHO cells, correcting N-glycosylation defects through DHRSX complementation.

The paper analyzes N-glycan diversity in Chlorella supplements, finding mismatches between product labels and glycan patterns, highlighting concerns about product authenticity.

The paper analyzes single-cell glycogene expression in human tissues to identify cell- and tissue-specific glycosylation pathways and transcription factor regulation.

This study uses molecular dynamics simulations to explore the structural dynamics of mucins, revealing how O-glycosylation influences their bottlebrush-like conformation.

The paper identifies potential genetic modifiers of Congenital Disorders of Glycosylation (CDG) using evolutionary rate covariation analysis across glycosylation pathways and other biological processes.

The paper develops a method to label lipooligosaccharides in Gram-negative bacteria using neuraminic acid analogs and detects sialyltransferase activity in live bacteria.

This paper develops a machine learning workflow to identify generalizable diagnostic ions for O-glycan isomer differentiation using a curated dataset of 237,000 spectra.

The paper identifies acp3U as the site where N-glycans attach to RNA in glycoRNA using rPAL and SWATH-MS.

This study investigates A4galt acceptor specificity by analyzing its dimerization with other GTs and using structural prediction to understand specificity toward GSLs and GPs.

DeepGP predicts glycopeptide MS/MS spectra and retention time using a hybrid deep learning framework, improving glycoproteomics analysis by distinguishing similar glycoforms and increasing detection sensitivity.

This paper characterizes Trichuris suis HEX-2, a β-hexosaminidase, through bioinformatics, enzymatic assays, and structural analysis, revealing its substrate specificity and structural similarities to human enzymes.

This study shows that the adipose microenvironment increases sialylation in ovarian cancer cells, promoting tumor growth in immune-dependent settings.

This study characterizes the human Rft1 protein, showing it is an ER membrane protein essential for N-glycosylation, with mutations affecting its function in congenital disorders of glycosylation.

The paper introduces CandyCrunch, a deep learning model that predicts glycan structures from tandem mass spectrometry data with high accuracy, enabling high-throughput glycomics.

This study compares fragmentation methods for glycopeptide analysis, finding CID identifies more glycopeptides while EAD improves site localization, and EAciD combines both benefits.

The paper analyzes O-fucose modification on NOTCH1 in POFUT1 S162L patient fibroblasts and finds reduced ligand binding and absence of O-fucose at EGF12.