ReviewMolecular & cellular proteomics : MCP2021
The Role of Data-Independent Acquisition for Glycoproteomics.
Review in Molecular & cellular proteomics : MCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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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
29 citing papers in PubMed.
- Article
- Phosphoproteomic profiling of lipopolysaccharide stimulated toll-like receptor pathways in macrophages.Scientific data · 2025Article
- Isoforms of Phosphorylated Tau as Potential Biomarkers for Alzheimer's Disease: The Contribution of Mass Spectrometry-Based Proteomics.NeuroSci · 2025Review
- dELTA-MS: A Mass Spectrometry-Based Proteomics Approach for Identifying ADP-Ribosylation Sites and Forms.Journal of proteome research · 2025Article
- Data Independent Acquisition Mass Spectrometry Enhanced Personalized Glycosylation Profiling of Haptoglobin in Hepatocellular Carcinoma.Journal of proteome research · 2024Article
- Data-Independent Acquisition: A Milestone and Prospect in Clinical Mass Spectrometry-Based Proteomics.Molecular & cellular proteomics : MCP · 2024Review
- Instrumentation at the Leading Edge of Proteomics.Analytical chemistry · 2024Review
- Bone Proteomics Method Optimization for Forensic Investigations.Journal of proteome research · 2024Article
- Decoding the glycoproteome: a new frontier for biomarker discovery in cancer.Journal of hematology & oncology · 2024Review
- Oxonium ion scanning mass spectrometry for large-scale plasma glycoproteomics.Nature biomedical engineering · 2024Article
- Robust, Precise, and Deep Proteome Profiling Using a Small Mass Range and Narrow Window Data-Independent-Acquisition Scheme.Journal of proteome research · 2024Article
- Mass Spectrometry Strategies forCells · 2024Review
- RAMZIS: a bioinformatic toolkit for rigorous assessment of the alterations to glycoprotein composition that occur during biological processes.Bioinformatics advances · 2024Article
- Differential expression of ST6GALNAC1 and ST6GALNAC2 and their clinical relevance to colorectal cancer progression.PloS one · 2024Article
- Recent trends in glycoproteomics by characterization of intact glycopeptides.Analytical and bioanalytical chemistry · 2023Review
- The next "sweet" spot for pancreatic ductal adenocarcinoma: Glycoprotein for early detection.Mass spectrometry reviews · 2023Review
- Measuring the multifaceted roles of mucin-domain glycoproteins in cancer.Advances in cancer research · 2023Review
- Glycoinformatics in the Artificial Intelligence Era.Chemical reviews · 2022Review
- Potential of Single Pulse and Multiplexed Drift-Tube Ion Mobility Spectrometry Coupled to Micropillar Array Column for Proteomics Studies.International journal of molecular sciences · 2022Article
- Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity.Nature communications · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data-independent acquisition (DIA) is now an emerging method in bottom-up proteomics and capable of achieving deep proteome coverage and accurate label-free quantification. However, for post-translational modifications, such as glycosylation, DIA methodology is still in the early stage of development. The full characterization of glycoproteins requires site-specific glycan identification as well as subsequent quantification of glycan structures at each site. The tremendous complexity of glycosylation represents a significant analytical challenge in glycoproteomics. This review focuses on the development and perspectives of DIA methodology for N- and O-linked glycoproteomics and posits that DIA-based glycoproteomics could be a method of choice to address some of the challenging aspects of glycoproteomics. First, the current challenges in glycoproteomics and the basic principles of DIA are briefly introduced. DIA-based glycoproteomics is then summarized and described into four aspects based on the actual samples. Finally, we discussed the important challenges and future perspectives in the field. We believe that DIA can significantly facilitate glycoproteomic studies and contribute to the development of future advanced tools and approaches in the field of glycoproteomics.
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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.