ArticleCommunications chemistry2022
Computational mass spectrometry accelerates C = C position-resolved untargeted lipidomics using oxygen attachment dissociation.
Article in Communications chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 21 citations in OpenAlex.
- Aziridination-Enabled Structural and Quantitative Lipidomics.Journal of the American Society for Mass Spectrometry · 2026Review
- Oxygen Attachment Dissociation of Protonated Reserpine and Its Analogs.Rapid communications in mass spectrometry : RCM · 2026Article
- A lipidomics roadmap: from basic research to societal challenges.Nature communications · 2026Review
- New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026Review
- SMASH Imaging: A Serial Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Strategy for High-Resolution Imaging Facilitates Dual-Polarity and MS2 Spatial Lipidomics on a Single Tissue Section.Analytical chemistry · 2026Article
- Mass-spectrometry based metabolomics: an overview of workflows, strategies, data analysis and applications.Proteome science · 2025Review
- Dual fragmentation via collision-induced and oxygen attachment dissociations using water and its radicals for C=C position-resolved lipidomics.Communications chemistry · 2025Article
- MS-DIAL 5 multimodal mass spectrometry data mining unveils lipidome complexities.Nature communications · 2024Article
- LipidOz enables automated elucidation of lipid carbon-carbon double bond positions from ozone-induced dissociation mass spectrometry data.Communications chemistry · 2023Article
- MS-RIDD paves the way toward routine double bond localization in mass spectrometry-based lipidomics.Communications chemistry · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Mass spectrometry-based untargeted lipidomics has revealed the lipidome atlas of living organisms at the molecular species level. Despite the double bond (C = C) position being a crucial factor in biological system, the C = C defined structures have not yet been characterized comprehensively. Here, we present an approach for C = C position-resolved untargeted lipidomics using a combination of oxygen attachment dissociation and computational mass spectrometry to increase the annotation rate. We validated the accuracy of our platform as per the authentic standards of 85 lipids and the biogenic standards of 52 molecules containing polyunsaturated fatty acids (PUFAs) from the cultured cells fed with various fatty acid-enriched media. By analyzing human and mice-derived samples, we characterized 648 unique lipids with the C = C position-resolved level encompassing 24 lipid subclasses defined by LIPIDMAPS. Our platform also illuminated the unique profiles of tissue-specific lipids containing n-3 and/or n-6 very long-chain PUFAs (carbon [Formula: see text] 28 and double bonds [Formula: see text] 4) in the eye, testis, and brain of the mouse.
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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.