ReviewChromatographia
High-Throughput Analysis and Automation for Glycomics Studies.
Review in Chromatographia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed.
- Heparan Sulfate Proteoglycans: Master Regulators of Cellular Signaling, Tissue Development, and Neural Function.Journal of neuroscience research · 2026Review
- Solvent Interaction Analysis: A New Lens for Protein Structure and Diagnostics.International journal of molecular sciences · 2026Review
- Cellulose functionalized magnetic beads for high throughput glycosylation analysis in biotherapeutic modalities.Scientific reports · 2024Article
- Anastrozole and Tamoxifen Impact on IgG Glycome Composition Dynamics in Luminal A and Luminal B Breast Cancers.Antibodies (Basel, Switzerland) · 2024Article
- Proteomics-Driven Biomarkers in Pancreatic Cancer.Proteomes · 2023Review
- Using Hadamard Transform Multiplexed IR Spectroscopy Together with a Segmented Ion Trap for the Identification of Mobility-Selected Isomers.Analytical chemistry · 2023Article
- Quantitative clinical glycomics strategies: A guide for selecting the best analysis approach.Mass spectrometry reviews · 2022Review
- Sonochemical Combined Synthesis of Nickel Ferrite and Cobalt Ferrite Magnetic Nanoparticles and Their Application in Glycan Analysis.International journal of molecular sciences · 2022Article
- Co-expression of cancer-testis antigens of MAGE-A6 and MAGE-A11 is associated with tumor aggressiveness in patients with bladder cancer.Scientific reports · 2022Article
- The Hitchhiker's guide to glycoproteomics.Biochemical Society transactions · 2021Review
- High-throughput N-glycan screening method for therapeutic antibodies using a microchip-based DNA analyzer: a promising methodology for monitoring monoclonal antibody N-glycosylation.Analytical and bioanalytical chemistry · 2021Article
- HILIC-UPLC-MS for high throughput and isomeric N-glycan separation and characterization in Congenital Disorders Glycosylation and human diseases.Glycoconjugate journal · 2021Article
- Recent Advances in Analytical Approaches for Glycan and Glycopeptide Quantitation.Molecular & cellular proteomics : MCP · 2021Review
- Mass spectrometry for the identification and analysis of highly complex glycosylation of therapeutic or pathogenic proteins.Expert review of proteomics · 2020Review
- Purification of Fluorescently Derivatized N-Glycans by Magnetic Iron Nanoparticles.Nanomaterials (Basel, Switzerland) · 2019Article
- Expanding the Reaction Space of Linkage-Specific Sialic Acid Derivatization.Molecules (Basel, Switzerland) · 2019Article
- Advancing Solutions to the Carbohydrate Sequencing Challenge.Journal of the American Chemical Society · 2019Review
- Article
- High-throughput SerumMolecular & cellular proteomics : MCP · 2019Article
- Improved and semi-automated reductive β-elimination workflow for higher throughput protein O-glycosylation analysis.PloS one · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review covers advances in analytical technologies for high-throughput (HTP) glycomics. Our focus is on structural studies of glycoprotein glycosylation to support biopharmaceutical realization and the discovery of glycan biomarkers for human disease. For biopharmaceuticals, there is increasing use of glycomics in Quality by Design studies to help optimize glycan profiles of drugs with a view to improving their clinical performance. Glycomics is also used in comparability studies to ensure consistency of glycosylation both throughout product development and between biosimilars and innovator drugs. In clinical studies there is as well an expanding interest in the use of glycomics-for example in Genome Wide Association Studies-to follow changes in glycosylation patterns of biological tissues and fluids with the progress of certain diseases. These include cancers, neurodegenerative disorders and inflammatory conditions. Despite rising activity in this field, there are significant challenges in performing large scale glycomics studies. The requirement is accurate identification and quantitation of individual glycan structures. However, glycoconjugate samples are often very complex and heterogeneous and contain many diverse branched glycan structures. In this article we cover HTP sample preparation and derivatization methods, sample purification, robotization, optimized glycan profiling by UHPLC, MS and multiplexed CE, as well as hyphenated techniques and automated data analysis tools. Throughout, we summarize the advantages and challenges with each of these technologies. The issues considered include reliability of the methods for glycan identification and quantitation, sample throughput, labor intensity, and affordability for large sample numbers.
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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.