ReviewHigh-throughput2019
Mass Spectrometry-Based Methodologies for Targeted and Untargeted Identification of Protein Covalent Adducts (Adductomics): Current Status and Challenges.
Review in High-throughput, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Development of an Optimized Two-Step Solid-Phase Extraction Method for Urinary Nucleic Acid Adductomics.Biomolecules · 2025Article
- Multi-adductomics: Advancing mass spectrometry techniques for comprehensive exposome characterization.Trends in analytical chemistry : TRAC · 2024Article
- Human brains preserve in diverse environments for at least 12 000 years.Proceedings. Biological sciences · 2024Article
- AdductHunter: identifying protein-metal complex adducts in mass spectra.Journal of cheminformatics · 2024Article
- Overview of Adductomics in Toxicology.Current protocols · 2023Article
- Applications of Adductomics in Chemically Induced Adverse Outcomes and Major Emphasis on DNA Adductomics: A Pathbreaking Tool in Biomedical Research.International journal of molecular sciences · 2021Review
- Lipid peroxidation derived reactive carbonyl species in free and conjugated forms as an index of lipid peroxidation: limits and perspectives.Redox biology · 2021Article
- Covalent Histone Modification by an Electrophilic Derivative of the Anti-HIV Drug Nevirapine.Molecules (Basel, Switzerland) · 2021Article
- Covalent Modification of Proteins by Plant-Derived Natural Products: Proteomic Approaches and Biological Impacts.Proteomics · 2021Review
- Review
- Special Issue "Adductomics: Elucidating the Environmental Causes of Disease".High-throughput · 2019Article
- The mercapturomic profile of health and non-communicable diseases.High-throughput · 2019Review
- A Metabolomics-Inspired Strategy for the Identification of Protein Covalent Modifications.Frontiers in chemistry · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Protein covalent adducts formed upon exposure to reactive (mainly electrophilic) chemicals may lead to the development of a wide range of deleterious health outcomes. Therefore, the identification of protein covalent adducts constitutes a huge opportunity for a better understanding of events underlying diseases and for the development of biomarkers which may constitute effective tools for disease diagnosis/prognosis, for the application of personalized medicine approaches and for accurately assessing human exposure to chemical toxicants. The currently available mass spectrometry (MS)-based methodologies, are clearly the most suitable for the analysis of protein covalent modifications, providing accuracy, sensitivity, unbiased identification of the modified residue and conjugates along with quantitative information. However, despite the huge technological advances in MS instrumentation and bioinformatics tools, the identification of low abundant protein covalent adducts is still challenging. This review is aimed at summarizing the MS-based methodologies currently used for the identification of protein covalent adducts and the strategies developed to overcome the analytical challenges, involving not only sample pre-treatment procedures but also distinct MS and data analysis approaches.
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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.