ArticleJournal of proteome research2022
Development and Application of Multidimensional Lipid Libraries to Investigate Lipidomic Dysregulation Related to Smoke Inhalation Injury Severity.
Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
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- Review
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- Selecting the Correct Autosampler Vial and Insert to Improve Reproducibility and Accuracy in Mass Spectrometry Analyses.International journal of mass spectrometry · 2025Article
- Wildfire smoke induces GM3 ganglioside lipid accumulation and transcriptomic shifts in mouse lung tissue: A smoke signal story.The Science of the total environment · 2025Article
- Assessment of Variable Traveling Wave Profiles for Small-Molecule Applications in Ion Mobility Spectrometry-Mass Spectrometry (IMS-MS).Journal of the American Society for Mass Spectrometry · 2025Article
- Article
- Evaluating Ion Mobility Data Acquisition, Calibration, and Processing for Small Molecules: A Cross-Platform Assessment of Drift Tube and Traveling Wave Methodologies.Journal of the American Society for Mass Spectrometry · 2025Article
- Increasing Oligonucleotide Sequencing Information and Throughput with Ion Mobility Spectrometry-Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2025Article
- FluoroMatch IM: An Interactive Software for PFAS Analysis by Ion Mobility Spectrometry.Environmental science & technology · 2025Article
- Lipidomics Reveals Cell Specific Changes During Pluripotent Differentiation to Neural and Mesodermal Lineages.bioRxiv : the preprint server for biology · 2025Article
- PubChemLite Plus Collision Cross Section (CCS) Values for Enhanced Interpretation of Nontarget Environmental Data.Environmental science & technology letters · 2025Article
- Conditional knockout of C/EBPβ in epidermis results in dysregulated lipid biosynthesis and a defect in skin barrier function.PloS one · 2025Article
- Lipidomics changes in bronchoalveolar lavage fluid of refractory mycoplasma pneumoniae pneumonia: LC-MS-based analysis of potential biomarkers and pathogenesis.Frontiers in pediatrics · 2025Article
- Proteomic and Lipidomic Plasma Evaluations Reveal Biomarkers for Domoic Acid Toxicosis in California Sea Lions.Journal of proteome research · 2024Article
- Highly reliable LC-MS lipidomics database for efficient human plasma profiling based on NIST SRM 1950.Journal of lipid research · 2024Article
- Streamlining Phenotype Classification and Highlighting Feature Candidates: A Screening Method for Non-Targeted Ion Mobility Spectrometry-Mass Spectrometry (IMS-MS) Data.Analytical chemistry · 2024Article
- Recent additions and access to a multidimensional lipidomic database containing liquid chromatography, ion mobility spectrometry, and tandem mass spectrometry information.Analytical and bioanalytical chemistry · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
The implication of lipid dysregulation in diseases, toxic exposure outcomes, and inflammation has brought great interest to lipidomic studies. However, lipids have proven to be analytically challenging due to their highly isomeric nature and vast concentration ranges in biological matrices. Therefore, multidimensional techniques such as those integrating liquid chromatography, ion mobility spectrometry, collision-induced dissociation, and mass spectrometry (LC-IMS-CID-MS) have been implemented to separate lipid isomers as well as provide structural information and increased identification confidence. These data sets are however extremely large and complex, resulting in challenges for data processing and annotation. Here, we have overcome these challenges by developing sample-specific multidimensional lipid libraries using the freely available software Skyline. Specifically, the human plasma library developed for this work contains over 500 unique lipids and is combined with adapted Skyline functions such as indexed retention time (iRT) for retention time prediction and IMS drift time filtering for enhanced selectivity. For comparison with other studies, this database was used to annotate LC-IMS-CID-MS data from a NIST SRM 1950 extract. The same workflow was then utilized to assess plasma and bronchoalveolar lavage fluid (BALF) samples from patients with varying degrees of smoke inhalation injury to identify lipid-based patient prognostic and diagnostic markers.
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Registered trials
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