ReviewProteomics2016
Chemoenzymatic method for glycomics: Isolation, identification, and quantitation.
Review in Proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 23 citations in OpenAlex.
- Altered glycosylation of EVs in cancers: galectin-3-binding protein (LGALS3BP).Discover oncology · 2025Review
- Quantitative analysis of fucosylated glycoproteins by immobilized lectin-affinity fluorescent labeling.RSC advances · 2023Article
- A Pragmatic Guide to Enrichment Strategies for Mass Spectrometry-Based Glycoproteomics.Molecular & cellular proteomics : MCP · 2021Review
- Non-canonical amino acid labeling in proteomics and biotechnology.Journal of biological engineering · 2019Review
- A tutorial in small molecule identification via electrospray ionization-mass spectrometry: The practical art of structural elucidation.Mass spectrometry reviews · 2018Review
- Reanalysis of Global Proteomic and Phosphoproteomic Data Identified a Large Number of Glycopeptides.Analytical chemistry · 2018Article
- Modification of Sialic Acids on Solid Phase: Accurate Characterization of Protein Sialylation.Analytical chemistry · 2017Article
- Simultaneous quantification of N- and O-glycans using a solid-phase method.Nature protocols · 2017Article
- Simultaneous analyses of N-linked and O-linked glycans of ovarian cancer cells using solid-phase chemoenzymatic method.Clinical proteomics · 2017Article
- LC-MS/MS analysis of permethylated N-glycans facilitating isomeric characterization.Analytical and bioanalytical chemistry · 2017Article
- QUANTITY: An Isobaric Tag for Quantitative Glycomics.Scientific reports · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Over the past decade, considerable progress has been made with respect to the analytical methods for analysis of glycans from biological sources. Regardless of the specific methods that are used, glycan analysis includes isolation, identification, and quantitation. Derivatization is indispensable to increase their identification. Derivatization of glycans can be performed by permethylation or carbodiimide coupling/esterification. By introducing a fluorophore or chromophore at their reducing end, glycans can be separated by electrophoresis or chromatography. The fluorogenically labeled glycans can be quantitated using fluorescent detection. The recently developed approaches using solid-phase such as glycoprotein immobilization for glycan extraction and on-tissue glycan mass spectrometry imaging demonstrate advantages over methods performed in solution. Derivatization of sialic acids is favorably implemented on the solid support using carbodiimide coupling, and the released glycans can be further modified at the reducing end or permethylated for quantitative analysis. In this review, methods for glycan isolation, identification, and quantitation are discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.