ArticleMethods in molecular biology (Clifton, N.J.)2025
Recommendations for Accurate Lipid Annotation and Semi-absolute Quantification from LC-MS/MS Datasets.
Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The efflux pump QacA mediates the transition to vancomycin heteroresistance in sequence type 5 methicillin-resistantEmerging microbes & infections · 2026Article
- MALDI Mass Spectrometry Imaging in Alzheimer's Disease Lipidomics: Matrix Selection, Spatial Lipid Pathology and Emerging Analytical Strategies.International journal of molecular sciences · 2026Review
- A lipidomics roadmap: from basic research to societal challenges.Nature communications · 2026Review
- SLC33A1 exports oxidized glutathione to maintain endoplasmic reticulum redox homeostasis.Nature cell biology · 2026Article
- SLC33A1 exports oxidized glutathione to maintain endoplasmic reticulum redox homeostasis.bioRxiv : the preprint server for biology · 2026Article
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Authors and funding
2 authors.
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Abstract
Recent developments in LC-MS instrumentation and analytical technologies together with bioinformatics tools supporting high-throughput processing of large omics datasets significantly enhanced our capabilities and efficiency of identification and quantification of lipids in diverse biological materials. However, each biological matrix is characterized by its unique lipid composition, thus requiring optimization of analytical and bioinformatics workflows for each studied lipidome. Here, we describe an integrated workflow for deep lipidome profiling, accurate annotation, and semi-absolute quantification of complex lipidomes based on reversed phase chromatography and high resolution mass spectrometry. This chapter provides details on selection of the optimal extraction protocol, acquisition of LC-MS/MS data for accurate annotation of lipid molecular species, and design of lipidome-specific mixtures of internal standards to assist quantitative analysis of complex, native lipidomes.
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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 Socratic graph.