ReviewBriefings in bioinformatics2013
Automated glycopeptide analysis--review of current state and future directions.
Review in Briefings in bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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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.
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Who cites it
32 citing papers in PubMed.
- Leveraging glycosylation for early detection and therapeutic target discovery in pancreatic cancer.Cell death & disease · 2025Review
- Recent advances in mass spectrometry analysis of neuropeptides.Mass spectrometry reviews · 2023Review
- Glycomics and glycoproteomics of viruses: Mass spectrometry applications and insights toward structure-function relationships.Mass spectrometry reviews · 2020Review
- Why Glycosylation Matters in Building a Better Flu Vaccine.Molecular & cellular proteomics : MCP · 2019Review
- Proteomics, Glycomics, and Glycoproteomics of Matrisome Molecules.Molecular & cellular proteomics : MCP · 2019Review
- Advances in mass spectrometry-based glycoproteomics.Electrophoresis · 2018Review
- Identification of Poly-N-Acetyllactosamine-Carrying Glycoproteins from HL-60 Human Promyelocytic Leukemia Cells Using a Site-Specific Glycome Analysis Method, Glyco-RIDGE.Journal of the American Society for Mass Spectrometry · 2018Article
- Large-scale intact glycopeptide identification by Mascot database search.Scientific reports · 2018Article
- A Comprehensive, Open-source Platform for Mass Spectrometry-based Glycoproteomics Data Analysis.Molecular & cellular proteomics : MCP · 2017Article
- Glycosylation profiling to evaluate glycoprotein immunogens against HIV-1.Expert review of proteomics · 2017Review
- pGlyco 2.0 enables precision N-glycoproteomics with comprehensive quality control and one-step mass spectrometry for intact glycopeptide identification.Nature communications · 2017Article
- Algorithms and design strategies towards automated glycoproteomics analysis.Mass spectrometry reviews · 2017Review
- Use of an informed search space maximizes confidence of site-specific assignment of glycoprotein glycosylation.Analytical and bioanalytical chemistry · 2017Article
- Chemical Glycoproteomics.Chemical reviews · 2016Review
- Liquid chromatography-tandem mass spectrometry-based fragmentation analysis of glycopeptides.Glycoconjugate journal · 2016Review
- A review of methods for interpretation of glycopeptide tandem mass spectral data.Glycoconjugate journal · 2016Review
- Integrated Omics and Computational Glycobiology Reveal Structural Basis for Influenza A Virus Glycan Microheterogeneity and Host Interactions.Molecular & cellular proteomics : MCP · 2016Article
- pGlyco: a pipeline for the identification of intact N-glycopeptides by using HCD- and CID-MS/MS and MS3.Scientific reports · 2016Article
- The Art of Destruction: Optimizing Collision Energies in Quadrupole-Time of Flight (Q-TOF) Instruments for Glycopeptide-Based Glycoproteomics.Journal of the American Society for Mass Spectrometry · 2016Article
- Site-specific O-Glycosylation Analysis of Human Blood Plasma Proteins.Molecular & cellular proteomics : MCP · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Glycosylation of proteins is involved in immune defense, cell-cell adhesion, cellular recognition and pathogen binding and is one of the most common and complex post-translational modifications. Science is still struggling to assign detailed mechanisms and functions to this form of conjugation. Even the structural analysis of glycoproteins-glycoproteomics-remains in its infancy due to the scarcity of high-throughput analytical platforms capable of determining glycopeptide composition and structure, especially platforms for complex biological mixtures. Glycopeptide composition and structure can be determined with high mass-accuracy mass spectrometry, particularly when combined with chromatographic separation, but the sheer volume of generated data necessitates computational software for interpretation. This review discusses the current state of glycopeptide assignment software-advances made to date and issues that remain to be addressed. The various software and algorithms developed so far provide important insights into glycoproteomics. However, there is currently no freely available software that can analyze spectral data in batch and unambiguously determine glycopeptide compositions for N- and O-linked glycopeptides from relevant biological sources such as human milk and serum. Few programs are capable of aiding in structural determination of the glycan component. To significantly advance the field of glycoproteomics, analytical software and algorithms are required that: (i) solve for both N- and O-linked glycopeptide compositions, structures and glycosites in biological mixtures; (ii) are high-throughput and process data in batches; (iii) can interpret mass spectral data from a variety of sources and (iv) are open source and freely available.
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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.