ReviewJournal of proteome research2023
Deciphering the Properties and Functions of Glycoproteins Using Quantitative Proteomics.
Review in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 15 citations in OpenAlex.
- Proteogenomics: decoding cancer in multiple dimensions.MedScience · 2026Review
- Dose-Dependent Inhibition of Protein Glycosylation Reveals Crosstalk between Glycosylation and Phosphorylation in EGF Signaling Pathways.Analytical chemistry · 2026Article
- Comprehensive and Site-Specific Characterization of Protein N-Glycosylation in AD Samples Reveals Its Potential Roles in Protein Aggregation and Synaptic Dysfunction.Analytical chemistry · 2025Article
- Novel compound heterozygous NDNF variants in congenital hypogonadotropic hypogonadism: insights into genotype-phenotype correlation and infertility.Molecular biology reports · 2025Article
- Machine learning-based prediction of disease progression in primary progressive multiple sclerosis.Brain communications · 2025Article
- Extracellular Matrix Components and Mechanosensing Pathways in Health and Disease.Biomolecules · 2024Review
- Integrating the analysis of human biopsies using post-translational modifications proteomics.Protein science : a publication of the Protein Society · 2024Review
- Systematic analysis of the impact of phosphorylation and O-GlcNAcylation on protein subcellular localization.Cell reports · 2023Article
- Mass spectrometry-based methods for investigating the dynamics and organization of the surfaceome: exploring potential clinical implications.Expert review of proteomicsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Glycosylation is one of the most common and important protein modifications, and it regulates the properties and functions of a wide range of proteins. Aberrant glycosylation is directly related to human diseases. Recently, with the advancement of mass spectrometry (MS) instrumentation and MS-based glycoproteomic methods, global characterization of glycoproteins in complex biological samples has become possible. Using quantitative proteomics, the abundance of glycoproteins in different samples can be quantified, which provides a wealth of information to further our understanding of protein functions, cellular activities, and the molecular mechanisms of diseases. In this review, we discuss quantitative proteomic methods used for comprehensive analysis of protein glycosylation, and cover the applications of quantitative glycoproteomics to unveil the properties and functions of glycoproteins and their association with various diseases. It is expected that quantitative proteomic methods will be extensively applied to explore the role of protein glycosylation in complex biological systems, and to identify glycoproteins as biomarkers for disease detection and as therapeutic targets for disease treatment.
Indexed as
Identifiers
What Socratic 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 Socratic graph.