ReviewMicroarrays (Basel, Switzerland)2016
Glycoarray Technologies: Deciphering Interactions from Proteins to Live Cell Responses.
Review in Microarrays (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
12 citing papers in PubMed.
- Chemical Strategies for Controlling Sulfation in Biomacromolecules.ACS chemical biology · 2026Review
- Editors' Choice-Perspective-Deciphering the Glycan Kryptos by Solid-State Nanopore Single-Molecule Sensing: A Call for Integrated Advancements Across Glyco- and Nanopore Science.ECS sensors plus · 2024Article
- A Holistic 4D Approach to Optimize Intrinsic and Extrinsic Factors Contributing to Variability in Microarray Biosensing in Glycomics.Sensors (Basel, Switzerland) · 2023Article
- Optimization of the Microwave Assisted Glycosylamines Synthesis Based on a Statistical Design of Experiments Approach.Molecules (Basel, Switzerland) · 2020Article
- Role of Chondroitin Sulfation Following Spinal Cord Injury.Frontiers in cellular neuroscience · 2020Review
- Glycans in drug discovery.MedChemComm · 2019Review
- Advancing Solutions to the Carbohydrate Sequencing Challenge.Journal of the American Chemical Society · 2019Review
- An Atlas of Human Glycosylation Pathways Enables Display of the Human Glycome by Gene Engineered Cells.Molecular cell · 2019Article
- Enhancing the glycosciences toolkit: new GAGs in the lineup.Nature methods · 2018Article
- Synthetic Oligosaccharide Libraries and Microarray Technology: A Powerful Combination for the Success of Current Glycosaminoglycan Interactomics.ChemMedChem · 2018Review
- The Good the Bad and the Ugly of Glycosaminoglycans in Tissue Engineering Applications.Pharmaceuticals (Basel, Switzerland) · 2017Review
- Glycosaminoglycanomics: where we are.Glycoconjugate journal · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microarray technologies inspired the development of carbohydrate arrays. Initially, carbohydrate array technology was hindered by the complex structures of glycans and their structural variability. The first designs of glycoarrays focused on the HTP (high throughput) study of protein-glycan binding events, and subsequently more in-depth kinetic analysis of carbohydrate-protein interactions. However, the applications have rapidly expanded and now achieve successful discrimination of selective interactions between carbohydrates and, not only proteins, but also viruses, bacteria and eukaryotic cells, and most recently even live cell responses to immobilized glycans. Combining array technology with other HTP technologies such as mass spectrometry is expected to allow even more accurate and sensitive analysis. This review provides a broad overview of established glycoarray technologies (with a special focus on glycosaminoglycan applications) and their emerging applications to the study of complex interactions between glycans and whole living cells.
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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 Socratic graph.