Deciphering fucosylated protein-linked O-glycans in oral Tannerella serpentiformis: insights from NMR spectroscopy and glycoproteomics.

被引量：- 发表：1970

(Key1-001) congenital disorders of glycosylation: Glycobiology at the bedside.

Congenital disorders of glycosylation (CDG) are a group of rare monogenic human disorders caused by defects in the genes encoding the proteins that generate, attach, and modify glycans, thus disrupting cellular glycosylation machinery. Over 200 CDG caused by disruptions of 189 different genes are currently known. The multi-system disease manifestations of the CDG disorders highlight the importance of glycosylation across the organ systems. Clinical manifestations of CDG tend to group among genes contributing to the same glycosylation pathways, suggesting shared pathophysiology related to the glycosylation disruptions. However, the underlying glycosylation disruptions and pathophysiologic mechanisms responsible for specific CDG clinical manifestations have been determined for only a few hypoglycosylated proteins. The Frontiers in CDG Consortium (FCDGC) is an international network of clinical sites, laboratories, and patient advocacy groups established in 2019 to improve clinical symptoms, quality of life, and life expectancy for individuals with CDG. FCDGC seeks to answer decades of unresolved questions, address knowledge gaps, develop and validate new biochemical diagnostic techniques and therapeutic biomarkers, and explore novel therapeutic options for CDG. Over the past 5 years, FCDGC has launched a Natural History Study with over 300 CDG patients, discovered novel biomarkers suggesting new mechanisms of disease, and launched clinical trials aiming to restore appropriate glycosylation and targeting newly identified potential mechanisms of disease. Technical advances in glycobiology are making it increasingly possible to comprehensively catalog glycoproteomic data and to probe functional impact of altered glycosylation. My laboratory applies glycoproteomic technologies to samples from human subjects and genetic model systems to identify glycosylation abnormalities and unlock new insights from translational glycobiology. Current findings and accomplishments highlight the ongoing bottlenecks and knowledge gaps at intersections of glycobiology and clinical care requiring further investigation.

被引量：- 发表：1970

Glycoengineering with neuraminic acid analogs to label lipooligosaccharides and detect native sialyltransferase activity in gram-negative bacteria.

Lipooligosaccharides are the most abundant cell surface glycoconjugates on the outer membrane of Gram-negative bacteria. They play important roles in host-microbe interactions. Certain Gram-negative pathogenic bacteria cap their lipooligosaccharides with the sialic acid, N-acetylneuraminic acid (Neu5Ac), to mimic host glycans that among others protects these bacteria from recognition by the hosts immune system. This process of molecular mimicry is not fully understood and remains under investigated. To explore the functional role of sialic acid-capped lipooligosaccharides at the molecular level, it is important to have tools readily available for the detection and manipulation of both Neu5Ac on glycoconjugates and the involved sialyltransferases, preferably in live bacteria. We and others have shown that the native sialyltransferases of some Gram-negative bacteria can incorporate extracellular unnatural sialic acid nucleotides onto their lipooligosaccharides. We here report on the expanded use of native bacterial sialyltransferases to incorporate neuraminic acids analogs with a reporter group into the lipooligosaccharides of a variety of Gram-negative bacteria. We show that this approach offers a quick strategy to screen bacteria for the expression of functional sialyltransferases and the ability to use exogenous CMP-Neu5Ac to decorate their glycoconjugates. For selected bacteria we also show this strategy complements two other glycoengineering techniques, Metabolic Oligosaccharide Engineering and Selective Exo-Enzymatic Labeling, and that together they provide tools to modify, label, detect and visualize sialylation of bacterial lipooligosaccharides.

被引量：- 发表：2024

Cosmc regulates O-glycan extension in murine hepatocytes.

Hepatocytes synthesize a vast number of glycoproteins found in their membranes and secretions, many of which contain O-glycans linked to Ser/Thr residues. As the functions and distribution of O-glycans on hepatocyte-derived membrane glycoproteins and blood glycoproteins are not well understood, we generated mice with a targeted deletion of Cosmc (C1Galt1c1) in hepatocytes. Liver glycoproteins in WT mice express typical sialylated core 1 O-glycans (T antigen/CD176) (Galβ1-3GalNAcα1-O-Ser/Thr), whereas the Cosmc knockout hepatocytes (HEP-Cosmc-KO) lack extended O-glycans and express the Tn antigen (CD175) (GalNAcα1-O-Ser/Thr). Tn-containing glycoproteins occur in the sera of HEP-Cosmc-KO mice but not in WT mice. The LDL-receptor (LDLR), a well-studied O-glycosylated glycoprotein in hepatocytes, behaves as a ∼145kD glycoprotein in WT liver lysates, whereas it is reduced to ∼120 kDa in lysates from HEP-Cosmc-KO mice. Interestingly, the expression of the LDLR, as well as HMG-CoA reductase, which is typically altered in response to dysregulated cholesterol metabolism, are similar between WT and HEP-Cosmc-KO mice, indicating no significant effect by Cosmc deletion on either LDLR stability or cholesterol metabolism. Consistent with this, we observed no detectable phenotype in the HEP-Cosmc-KO mice regarding development, appearance or aging compared to WT. These results provide surprising, novel information about the pathway of O-glycosylation in the liver.

被引量：- 发表：2024

Unveiling crucial amino acids in the carbohydrate recognition domain of a viral protein through a structural bioinformatic approach.

Carbohydrate binding modules (CBMs) are protein domains that typically reside near catalytic domains, increasing substrate-protein proximity by constraining the conformational space of carbohydrates. Due to the flexibility and variability of glycans, the molecular details of how these protein regions recognize their target molecules are not always fully understood. Computational methods, including molecular docking and molecular dynamics simulations, have been employed to investigate lectin-carbohydrate interactions. In this study, we introduce a novel approach that integrates multiple computational techniques to identify the critical amino acids involved in the interaction between a CBM located at the tip of bacteriophage J-1's tail and its carbohydrate counterparts. Our results highlight three amino acids that play a significant role in binding, a finding we confirmed through in vitro experiments. By presenting this approach, we offer an intriguing alternative for pinpointing amino acids that contribute to protein-sugar interactions, leading to a more thorough comprehension of the molecular determinants of protein-carbohydrate interactions.

被引量：- 发表：2024