ArticleBriefings in bioinformatics2023
Lipid network and moiety analysis for revealing enzymatic dysregulation and mechanistic alterations from lipidomics data.
Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Circulatory lipid signature in response to short-term testosterone gel treatment of healthy young females.Scientific reports · 2025Trial
- The insulin-like growth factor 2 mRNA-binding protein 2 affects tumor cell metabolism via mitochondrial transporter activity and lipid alterations.Cell death discovery · 2026Article
- Navigating the lipid universe with LipidLibrarian: a cross-linked database for lipidomics data integration.Journal of lipid research · 2026Article
- Lipid reprogramming of stratified squamous epithelium by the high-risk HPV E6 and E6/E7 oncoproteins.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- A lipidomics roadmap: from basic research to societal challenges.Nature communications · 2026Review
- Establishing an untargeted lipidomics workflow for cellular analysis: insights into endothelial cell function in anaphylaxis.Frontiers in immunology · 2026Article
- Identification of plasma phosphatidylethanolamine species associated with myocardial infarction risk in patients with stable angina: A cross-sectional lipidomics study.The Journal of international medical research · 2025Article
- Benchmarking of Trapped Ion Mobility Spectrometry in Differentiating Plasmalogens from Other Ether Lipids in Lipidomics Experiments.Analytical chemistry · 2025Article
- Metabolomic liquid biopsy dynamics predict early-stage HCC and actionable candidates of human hepatocarcinogenesis.JHEP reports : innovation in hepatology · 2025Article
- Unveiling cellular changes in leukaemia cell lines after cannabidiol treatment through lipidomics.Scientific reports · 2025Article
- Cell Labeling with 15-YNE Is Useful for Tracking Protein Palmitoylation and Metabolic Lipid Flux in the Same Sample.Molecules (Basel, Switzerland) · 2025Article
- Proteomic, metabolomic and lipidomic profiles in community acquired pneumonia for differentiating viral and bacterial infections.Scientific reports · 2025Article
- Multi-omics characterization of diabetic nephropathy in the db/db mouse model of type 2 diabetes.Computational and structural biotechnology journal · 2025Article
- Codonopsis pilosula-derived glycopeptide dCP1 promotes the polarization of tumor-associated macrophage from M2-like to M1 phenotype.Cancer immunology, immunotherapy : CII · 2024Article
- The Metabolic and Lipidomic Fingerprint of Torin1 Exposure in Mouse Embryonic Fibroblasts Using Untargeted Metabolomics.Metabolites · 2024Article
- PLA2G4A and ACHE modulate lipid profiles via glycerophospholipid metabolism in platinum-resistant gastric cancer.Journal of translational medicine · 2024Article
- Novel insight into the lipid network of plasma extracellular vesicles reveal sex-based differences in the lipidomic profile of alcohol use disorder patients.Biology of sex differences · 2024Article
- LipidSpace: Simple Exploration, Reanalysis, and Quality Control of Large-Scale Lipidomics Studies.Analytical chemistry · 2023Article
- Multiplatform Metabolomics Characterization Reveals Novel Metabolites and Phospholipid Compositional Rules ofInternational journal of molecular sciences · 2023Article
- Lipidomic Profiling of PFOA-Exposed Mouse Liver by Multi-Modal Mass Spectrometry Analysis.Analytical chemistry · 2023Article
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Authors and funding
6 authors.
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Abstract
Lipidomics is of growing importance for clinical and biomedical research due to many associations between lipid metabolism and diseases. The discovery of these associations is facilitated by improved lipid identification and quantification. Sophisticated computational methods are advantageous for interpreting such large-scale data for understanding metabolic processes and their underlying (patho)mechanisms. To generate hypothesis about these mechanisms, the combination of metabolic networks and graph algorithms is a powerful option to pinpoint molecular disease drivers and their interactions. Here we present lipid network explorer (LINEX$^2$), a lipid network analysis framework that fuels biological interpretation of alterations in lipid compositions. By integrating lipid-metabolic reactions from public databases, we generate dataset-specific lipid interaction networks. To aid interpretation of these networks, we present an enrichment graph algorithm that infers changes in enzymatic activity in the context of their multispecificity from lipidomics data. Our inference method successfully recovered the MBOAT7 enzyme from knock-out data. Furthermore, we mechanistically interpret lipidomic alterations of adipocytes in obesity by leveraging network enrichment and lipid moieties. We address the general lack of lipidomics data mining options to elucidate potential disease mechanisms and make lipidomics more clinically relevant.
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