ArticleJCI insight2017
LipidFinder: A computational workflow for discovery of lipids identifies eicosanoid-phosphoinositides in platelets.
Article in JCI insight, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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
17 citing papers in PubMed.
- Comparative Study of Lipid Profile for Mice Treated with Cyclophosphamide by HPLC-HRMS and Bioinformatics.Metabolites · 2025Article
- Software and Computational Tools for LC-MS-Based Epilipidomics: Challenges and Solutions.Analytical chemistry · 2023Review
- A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics.Metabolites · 2022Review
- Dynamic Progress in Technological Advances to Study Lipids in Aging: Challenges and Future Directions.Frontiers in aging · 2022Review
- Structural library and visualization of endogenously oxidized phosphatidylcholines using mass spectrometry-based techniques.Nature communications · 2021Article
- The role of lipids in exosome biology and intercellular communication: Function, analytics and applications.Traffic (Copenhagen, Denmark) · 2021Review
- LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications.Bioinformatics (Oxford, England) · 2021Article
- Mass Spectrometry-Based Shotgun Lipidomics for Cancer Research.Advances in experimental medicine and biology · 2021Article
- Metabolic Dysregulation of the Lysophospholipid/Autotaxin Axis in the Chromosome 9p21 Gene SNP rs10757274.Circulation. Genomic and precision medicine · 2020Article
- Cloud-based archived metabolomics data: A resource for in-source fragmentation/annotation, meta-analysis and systems biology.Analytical science advances · 2020Article
- Lipidomics from sample preparation to data analysis: a primer.Analytical and bioanalytical chemistry · 2020Review
- Tutorial on lipidomics.Analytica chimica acta · 2019Review
- "Redox lipidomics technology: Looking for a needle in a haystack".Chemistry and physics of lipids · 2019Review
- Redox (phospho)lipidomics of signaling in inflammation and programmed cell death.Journal of leukocyte biology · 2019Review
- LipidFinder on LIPID MAPS: peak filtering, MS searching and statistical analysis for lipidomics.Bioinformatics (Oxford, England) · 2019Article
- Phospholipid signaling in innate immune cells.The Journal of clinical investigation · 2018Review
- Comprehensive analyses of oxidized phospholipids using a measured MS/MS spectra library.Journal of lipid research · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Accurate and high-quality curation of lipidomic datasets generated from plasma, cells, or tissues is becoming essential for cell biology investigations and biomarker discovery for personalized medicine. However, a major challenge lies in removing artifacts otherwise mistakenly interpreted as real lipids from large mass spectrometry files (>60 K features), while retaining genuine ions in the dataset. This requires powerful informatics tools; however, available workflows have not been tailored specifically for lipidomics, particularly discovery research. We designed LipidFinder, an open-source Python workflow. An algorithm is included that optimizes analysis based on users' own data, and outputs are screened against online databases and categorized into LIPID MAPS classes. LipidFinder outperformed three widely used metabolomics packages using data from human platelets. We show a family of three 12-hydroxyeicosatetraenoic acid phosphoinositides (16:0/, 18:1/, 18:0/12-HETE-PI) generated by thrombin-activated platelets, indicating crosstalk between eicosanoid and phosphoinositide pathways in human cells. The software is available on GitHub (https://github.com/cjbrasher/LipidFinder), with full userguides.
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What OpenQuestion holds
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.