ArticleCurrent protocols2021
Glycoproteomic Sample Processing, LC-MS, and Data Analysis Using GlycReSoft.
Article in Current protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 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
6 citing papers in PubMed.
- Mass Spectrometry-Based Glycomics and Proteomics Profiling of On-Slide Digested Tissue from Complex Biological Samples.Methods in molecular biology (Clifton, N.J.) · 2025Article
- N-Acetylated Monosaccharides and Derived Glycan Structures Occurring in N- and O-Glycans During Prostate Cancer Development.Cancers · 2024Review
- Recent advances in N-glycan biomarker discovery among human diseases.Acta biochimica et biophysica Sinica · 2024Review
- Review
- What Can N-glycomics and N-glycoproteomics of Cerebrospinal Fluid Tell Us about Alzheimer Disease?Biomolecules · 2021Review
- Mass spectrometry methods for analysis of extracellular matrix components in neurological diseases.Mass spectrometry reviewsReview
Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
Identification of N- and O-glycosylation on specific sites of proteins, along with glycan structural information, is necessary to determine the roles glycoproteins play in normal and pathologic cellular functions. Because such glycosylation is macro- and micro-heterogeneous and alters the dissociation behavior of glycopeptides, specific sample preparation, mass spectrometry, and data analysis techniques are required. Advanced tandem mass spectrometry-based glycoproteomics coupled with powerful data mining algorithms are key elements for characterization of protein glycosylation. This article includes the detailed, streamlined sample preparation method for liquid chromatography-mass spectrometry data acquisition and subsequent bioinformatics-based data annotation using the publicly available GlycReSoft program for highly efficient identification and quantification of glycoprotein glycosylation. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Characterization of glycans and site occupancy on purified glycoprotein Support Protocol 1: In-gel digestion of glycoproteins Support Protocol 2: Detection of glycoproteins from cells/tissue through glycopeptide enrichment Basic Protocol 2: Acquisition of glycopeptides through high-resolution nano-LC-MS/MS Basic Protocol 3: Identification and quantification of glycopeptides using GlycReSoft.
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.