ReviewMass spectrometry reviews
Glycoprotein analysis using protein microarrays and mass spectrometry.
Review in Mass spectrometry reviews. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 68 citations in OpenAlex.
- Advancing Point-of-Care Diagnosis: Digitalizing Combinatorial Biomarker Signals for Lupus Nephritis.Biosensors · 2024Article
- IgG glycopeptide enrichment using hydrophilic interaction chromatography-based solid-phase extraction on an aminopropyl column.Analytical and bioanalytical chemistry · 2024Article
- Methods for quantification of glycopeptides by liquid separation and mass spectrometry.Mass spectrometry reviews · 2023Review
- David M. Lubman-The University of Michigan-A retrospective in research.Mass spectrometry reviews · 2023Review
- Applications and continued evolution of glycan imaging mass spectrometry.Mass spectrometry reviews · 2023Review
- Mass spectrometry based biomarkers for early detection of HCC using a glycoproteomic approach.Advances in cancer research · 2023Review
- Article
- Cancer glycomics offers potential biomarkers and therapeutic targets in the framework of 3P medicine.Frontiers in endocrinology · 2022Review
- A Fucosylated Glycopeptide as a Candidate Biomarker for Early Diagnosis of NASH Hepatocellular Carcinoma Using a Stepped HCD Method and PRM Evaluation.Frontiers in oncology · 2022Article
- Global and site-specific analysis of protein glycosylation in complex biological systems with Mass Spectrometry.Mass spectrometry reviews · 2019Review
- Glycoproteomic markers of hepatocellular carcinoma-mass spectrometry based approaches.Mass spectrometry reviews · 2019Review
- Aberrant glycosylation and cancer biomarker discovery: a promising and thorny journey.Clinical chemistry and laboratory medicine · 2019Review
- Natural and Synthetic Sialylated Glycan Microarrays and Their Applications.Frontiers in molecular biosciences · 2019Review
- Glycomic Approaches for the Discovery of Targets in Gastrointestinal Cancer.Frontiers in oncology · 2016Review
- Clinical proteomics: promises, challenges and limitations of affinity arrays.Proteomics. Clinical applications · 2015Review
- Proteomic strategies for the discovery of novel diagnostic and therapeutic targets for infectious diseases.Pathogens and disease · 2014Review
- A universal chemical enrichment method for mapping the yeast N-glycoproteome by mass spectrometry (MS).Molecular & cellular proteomics : MCP · 2014Article
- Analysis of glycan variation on glycoproteins from serum by the reverse lectin-based ELISA assay.Journal of proteome research · 2014Article
- Review
- Cross validation of liquid chromatography-mass spectrometry and lectin array for monitoring glycosylation in fed-batch glycoprotein production.Molecular biotechnology · 2012Article
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
Protein glycosylation plays an important role in a multitude of biological processes such as cell-cell recognition, growth, differentiation, and cell death. It has been shown that specific glycosylation changes are key in disease progression and can have diagnostic value for a variety of disease types such as cancer and inflammation. The complexity of carbohydrate structures and their derivatives makes their study a real challenge. Improving the isolation, separation, and characterization of carbohydrates and their glycoproteins is a subject of increasing scientific interest. With the development of new stationary phases and molecules that have affinity properties for glycoproteins, the isolation and separation of these compounds have advanced significantly. In addition to detection with mass spectrometry, the microarray platform has become an essential tool to characterize glycan structure and to study glycosylation-related biological interactions, by using probes as a means to interrogate the spotted or captured glycosylated molecules on the arrays. Furthermore, the high-throughput and reproducible nature of microarray platforms have been highlighted by its extensive applications in the field of biomarker validation, where a large number of samples must be analyzed multiple times. This review covers a brief survey of the other experimental methodologies that are currently being developed and used to study glycosylation and emphasizes methodologies that involve the use of microarray platforms. This review describes recent advances in several options of microarray platforms used in glycoprotein analysis, including glycoprotein arrays, glycan arrays, lectin arrays, and antibody/lectin arrays. The translational use of these arrays in applications related to characterization of cells and biomarker discovery is also included.
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.