ArticleBiochemistry2018
Deciphering the Functions of O-GlcNAc Glycosylation in the Brain: The Role of Site-Specific Quantitative O-GlcNAcomics.
Article in Biochemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Deciphering the Properties and Functions of Glycoproteins Using Quantitative Proteomics.Journal of proteome research · 2023Review
- Altered O-GlcNAcylation and mitochondrial dysfunction, a molecular link between brain glucose dysregulation and sporadic Alzheimer's disease.Neural regeneration research · 2023Article
- Complementary proteome and glycoproteome access revealed through comparative analysis of reversed phase and porous graphitic carbon chromatography.Analytical and bioanalytical chemistry · 2022Article
- Rethinking the necessity of low glucose intervention for cerebral ischemia/reperfusion injury.Neural regeneration research · 2022Review
- The dynamic brain N-glycome.Glycoconjugate journal · 2022Review
- Mammalian brain glycoproteins exhibit diminished glycan complexity compared to other tissues.Nature communications · 2022Article
- Role ofPhysiological reviews · 2021Review
- The FUS gene is dual-coding with both proteins contributing to FUS-mediated toxicity.EMBO reports · 2021Article
- Neuroproteomics of the Synapse: Subcellular Quantification of Protein Networks and Signaling Dynamics.Molecular & cellular proteomics : MCP · 2021Review
- Tools for functional dissection of site-specific O-GlcNAcylation.RSC chemical biology · 2020Review
- Glycan Mimetics from Natural Products: New Therapeutic Opportunities for Neurodegenerative Disease.Molecules (Basel, Switzerland) · 2019Review
- Moving beyond the glial scar for spinal cord repair.Nature communications · 2019Review
- Chemical and Biochemical Strategies To Explore the Substrate Recognition of O-GlcNAc-Cycling Enzymes.Chembiochem : a European journal of chemical biology · 2019Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The dynamic posttranslational modification O-linked β- N-acetylglucosamine glycosylation (O-GlcNAcylation) is present on thousands of intracellular proteins in the brain. Like phosphorylation, O-GlcNAcylation is inducible and plays important functional roles in both physiology and disease. Recent advances in mass spectrometry (MS) and bioconjugation methods are now enabling the mapping of O-GlcNAcylation events to individual sites in proteins. However, our understanding of which glycosylation events are necessary for regulating protein function and controlling specific processes, phenotypes, or diseases remains in its infancy. Given the sheer number of O-GlcNAc sites, methods for identifying promising sites and prioritizing them for time- and resource-intensive functional studies are greatly needed. Revealing sites that are dynamically altered by different stimuli or disease states will likely go a long way in this regard. Here, we describe advanced methods for identifying O-GlcNAc sites on individual proteins and across the proteome and for determining their stoichiometry in vivo. We also highlight emerging technologies for quantitative, site-specific MS-based O-GlcNAc proteomics (O-GlcNAcomics), which allow proteome-wide tracking of O-GlcNAcylation dynamics at individual sites. These cutting-edge technologies are beginning to bridge the gap between the high-throughput cataloguing of O-GlcNAcylated proteins and the relatively low-throughput study of individual proteins. By uncovering the O-GlcNAcylation events that change in specific physiological and disease contexts, these new approaches are providing key insights into the regulatory functions of O-GlcNAc in the brain, including their roles in neuroprotection, neuronal signaling, learning and memory, and neurodegenerative diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.