ArticleJournal of the American Society for Mass Spectrometry2019
Mapping Lipid Fragmentation for Tailored Mass Spectral Libraries.
Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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.
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Who cites it
19 citing papers in PubMed, 30 citations in OpenAlex.
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- Deep Learning Predicts Non-Normal Transmission Distributions in High-Field Asymmetric Waveform Ion Mobility (FAIMS) Directly from Peptide Sequence.Analytical chemistry · 2025Article
- Triacylglycerol mobilization underpins mitochondrial stress recovery.Nature cell biology · 2025Article
- Breast cancer secretes anti-ferroptotic MUFAs and depends on selenoprotein synthesis for metastasis.EMBO molecular medicine · 2024Article
- Highly reliable LC-MS lipidomics database for efficient human plasma profiling based on NIST SRM 1950.Journal of lipid research · 2024Article
- High-content phenotypic analysis of a C. elegans recombinant inbred population identifies genetic and molecular regulators of lifespan.Cell reports · 2024Article
- Exploring the plant lipidome: techniques, challenges, and prospects.Advanced biotechnology · 2024Review
- High-content phenotypic analysis ofbioRxiv : the preprint server for biology · 2024Article
- Improved Structural Characterization of Glycerophospholipids and Sphingomyelins with Real-Time Library Searching.Analytical chemistry · 2023Article
- Software and Computational Tools for LC-MS-Based Epilipidomics: Challenges and Solutions.Analytical chemistry · 2023Review
- Spatial snapshots of amyloid precursor protein intramembrane processing via early endosome proteomics.Nature communications · 2022Article
- HIGH RESOLUTION MASS SPECTROMETRY IN LIPIDOMICS.Mass spectrometry reviews · 2021Review
- Analytical Platforms for the Determination of Phospholipid Turnover in Breast Cancer Tissue: Role of Phospholipase Activity in Breast Cancer Development.Metabolites · 2021Review
- A large-scale genome-lipid association map guides lipid identification.Nature metabolism · 2020Article
- Toward Comprehensive Per- and Polyfluoroalkyl Substances Annotation Using FluoroMatch Software and Intelligent High-Resolution Tandem Mass Spectrometry Acquisition.Analytical chemistry · 2020Article
- Lipidomics from sample preparation to data analysis: a primer.Analytical and bioanalytical chemistry · 2020Review
- Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Libraries of simulated lipid fragmentation spectra enable the identification of hundreds of unique lipids from complex lipid extracts, even when the corresponding lipid reference standards do not exist. Often, these in silico libraries are generated through expert annotation of spectra to extract and model fragmentation rules common to a given lipid class. Although useful for a given sample source or instrumental platform, the time-consuming nature of this approach renders it impractical for the growing array of dissociation techniques and instrument platforms. Here, we introduce Library Forge, a unique algorithm capable of deriving lipid fragment mass-to-charge (m/z) and intensity patterns directly from high-resolution experimental spectra with minimal user input. Library Forge exploits the modular construction of lipids to generate m/z transformed spectra in silico which reveal the underlying fragmentation pathways common to a given lipid class. By learning these fragmentation patterns directly from observed spectra, the algorithm increases lipid spectral matching confidence while reducing spectral library development time from days to minutes. We embed the algorithm within the preexisting lipid analysis architecture of LipiDex to integrate automated and robust library generation within a comprehensive LC-MS/MS lipidomics workflow. Graphical Abstract.
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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.