ArticleFaraday discussions2019
Factors contributing to variability of glycan microarray binding profiles.
Article in Faraday discussions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Versatile Glycan Probes for Multiplatform Investigation of Glycan Interactions with Proteins, Viruses, and Cells.Nature communications · 2026Article
- An atlas of human siglecs integrates expression, affinity, and cis/trans sialoglycan recognition profiles.Nature communications · 2026Article
- Evaluation of multiplexed liquid glycan Array (LiGA) for serological detection of glycan-binding antibodies.Glycobiology · 2025Article
- Group A Streptococcus interacts with glycosaminoglycans via M proteins to modulate bacterial adherence in vitro.The FEBS journal · 2025Article
- Specific binding of human P[28] rotavirus VP8* protein to blood group ABH antigens on type 1 chains.PLoS pathogens · 2025Article
- Article
- Serum antibody screening using glycan arrays.Chemical Society reviews · 2024Review
- New synthesis of oligosaccharides modelling the M epitope of theFrontiers in chemistry · 2024Article
- A Holistic 4D Approach to Optimize Intrinsic and Extrinsic Factors Contributing to Variability in Microarray Biosensing in Glycomics.Sensors (Basel, Switzerland) · 2023Article
- A Useful Guide to Lectin Binding: Machine-Learning Directed Annotation of 57 Unique Lectin Specificities.ACS chemical biology · 2022Article
- Development of a GalNAc-Tyrosine-Specific Monoclonal Antibody and Detection of TyrosineJournal of the American Chemical Society · 2022Article
- CarboGrove: a resource of glycan-binding specificities through analyzed glycan-array datasets from all platforms.Glycobiology · 2022Article
- Seeing the forest through the trees: characterizing the glycoproteome.Trends in biochemical sciences · 2022Review
- LectinOracle: A Generalizable Deep Learning Model for Lectin-Glycan Binding Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- A Neoglycoprotein-Immobilized Fluorescent Magnetic Bead Suspension Multiplex Array for Galectin-Binding Studies.Molecules (Basel, Switzerland) · 2021Article
- Noncovalent microarrays from synthetic amino-terminating glycans: Implications in expanding glycan microarray diversity and platform comparison.Glycobiology · 2021Article
- Combined Analysis of Multiple Glycan-Array Datasets: New Explorations of Protein-Glycan Interactions.Analytical chemistry · 2021Article
- Article
- Synthesis and evaluation of porphyrin glycoconjugates varying in linker length: preliminary effects on the photodynamic inactivation ofRSC advances · 2021Article
- Probing Multivalent Carbohydrate-Protein Interactions With On-Chip Synthesized Glycopeptides Using Different Functionalized Surfaces.Frontiers in chemistry · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Protein-carbohydrate interactions play significant roles in a wide variety of biological systems. Glycan microarrays are commonly utilized to interrogate the selectivity, sensitivity, and breadth of these complex protein-carbohydrate interactions. During the past two decades, numerous distinct glycan microarray platforms have been developed, each assembled from a variety of slide-surface chemistries, glycan-attachment chemistries, glycan presentations, linkers, and glycan densities. Comparative analyses of glycan microarray data have shown that while many protein-carbohydrate interactions behave predictably across microarrays, there are instances when various array formats produce different results. For optimal construction and use of this technology, it is important to understand sources of variances across array platforms. In this study, we performed a systematic comparison of microarray data from 8 lectins across a range of concentrations on the CFG and neoglycoprotein array platforms. While there was good general agreement on the binding specificity of the lectins on the two arrays, there were some cases of large discrepancies. Differences in glycan density and linker composition contributed significantly to variability. The results provide insights for interpreting microarray data and designing future glycan microarrays.
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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.