ReviewGlycoconjugate journal2012
Recent progress in quantitative glycoproteomics.
Review in Glycoconjugate journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Hydrophilic Sulfonate Covalent Organic Frameworks for Serum Glycopeptide Profiling.International journal of molecular sciences · 2025Article
- 4-plex quantitative glycoproteomics using glycan/protein-stable isotope labeling in cell culture.Journal of proteomics · 2025Article
- Proteome Analysis of Serum Purified UsingInternational journal of molecular sciences · 2024Article
- Glycoengineering of Mammalian Expression Systems on a Cellular Level.Advances in biochemical engineering/biotechnology · 2021Article
- A Pragmatic Guide to Enrichment Strategies for Mass Spectrometry-Based Glycoproteomics.Molecular & cellular proteomics : MCP · 2021Review
- Glycomics and glycoproteomics of viruses: Mass spectrometry applications and insights toward structure-function relationships.Mass spectrometry reviews · 2020Review
- Unraveling Massive Crocins Transport and Accumulation through Proteome and Microscopy Tools during the Development of Saffron Stigma.International journal of molecular sciences · 2017Article
- LC-MS/MS analysis of permethylated N-glycans facilitating isomeric characterization.Analytical and bioanalytical chemistry · 2017Article
- Chemical Glycoproteomics.Chemical reviews · 2016Review
- Article
- Glycoproteins and glycoproteomics in pancreatic cancer.World journal of gastroenterology · 2016Review
- Fully-sialylated alpha-chain of complement 4-binding protein: Diagnostic utility for ovarian clear cell carcinoma.Gynecologic oncology · 2015Article
- Targeted methods for quantitative analysis of protein glycosylation.Proteomics. Clinical applications · 2015Review
- Mass spectrometry-based analysis of glycoproteins and its clinical applications in cancer biomarker discovery.Clinical proteomics · 2014Article
- Glycoproteomic and glycomic databases.Clinical proteomics · 2014Review
- Recent advances in cellular glycomic analyses.Biomolecules · 2013Article
- Deciphering the bacterial glycocode: recent advances in bacterial glycoproteomics.Current opinion in chemical biology · 2013Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein glycosylation is acknowledged as one of the major posttranslational modifications that elicit significant effects on protein folding, conformation, distribution, stability, and activity. The changes in glycoprotein abundance, glycosylation degree, and glycan structure are associated with a variety of diseases. Therefore, the quantitative study of glycoproteomics has become a new and popular research topic, and is quickly emerging as an important technique for biomarker discovery. Mass spectrometry-based protein quantification technologies provide a powerful tool for the systematic and quantitative assessment of the quantitative differences in the protein profiles of different samples. Combined with various glycoprotein/glycopeptide enrichment strategies and other glycoprotein analysis methods, these techniques have been further developed for application in quantitative glycoproteomics. A comprehensive quantitative analysis of the glycoproteome in a complex biological sample remains challenging because of the enormous complexity of biological samples, intrinsic characteristics of glycoproteins, and lack of universal quantitative technology. In this review, recently developed technologies in quantitative glycoproteome, especially those focused on two of the most common types of glycosylation (N-linked and O-linked glycoproteome), were summarized. The strengths and weaknesses of the various approaches were also discussed.
Indexed as
Identifiers
22699565What 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.