Untargeted lipidomics is a high-throughput mass spectrometry-based approach designed to comprehensively profile lipid species without predefining specific lipid targets.
For C. elegans, untargeted lipidomics provides a discovery-driven strategy for identifying lipid biomarkers, mapping lipid metabolic pathway changes, and generating new hypotheses in aging, drug response, disease modeling, nutrition, and toxicology studies.
Lipids play essential roles in membrane architecture, energy storage, cell signaling, stress response, reproduction, development, and lifespan regulation. In C. elegans, lipid metabolism is closely linked to mitochondrial function, insulin/IGF-1 signaling, oxidative stress resistance, neuronal health, and aging-related phenotypes.
Unlike targeted lipidomics, untargeted lipidomics explores lipid changes at a broader scale. High-resolution LC-MS/MS, UPLC-MS, Q-TOF MS, Orbitrap MS, DDA, DIA, or SWATH-style acquisition can detect large numbers of lipid features for downstream annotation and statistical comparison.
Untargeted lipidomics is particularly useful when the relevant lipid classes are unknown. It can reveal unexpected lipid signatures associated with genotype, treatment, developmental stage, toxicant exposure, or disease-related phenotypes.
Fig.2 Lipidome of plag-15 RNAi worms at the L4 stage
CD BioSciences provides reliable and customized C. elegans Untargeted Lipidomics Service for academic researchers, biotechnology companies, pharmaceutical teams, and functional product developers. Our service modules are kept separate by service type to ensure that each project receives the most appropriate analytical strategy.
High-resolution MS-based discovery profiling of lipid features across C. elegans samples without restricting the analysis to predefined lipid targets.
Flexible acquisition strategies can be selected to improve lipid coverage, fragmentation information, and retrospective data mining potential.
Compare wild-type vs. mutant, young vs. aged, treated vs. untreated, diet-intervention, RNAi, or disease-model groups to identify differential lipid signatures.
Discover lipidomic changes associated with anti-aging compounds, plant extracts, antioxidants, probiotics, dietary interventions, or healthspan-related phenotypes.
Support mechanism exploration by linking lipidomic patterns to biological pathways, compound responses, or genotype-specific metabolic changes.
Evaluate lipidome disturbances caused by chemical, pharmaceutical, or environmental exposures for early safety and mechanism assessment.
Reveal how aging-related genes, mitochondrial function, IIS signaling, antioxidants, or dietary interventions regulate lipid metabolism.
Identify lipid pathways altered by gene mutation, RNAi, or drug exposure to support target discovery and mechanism studies.
Evaluate lipid changes related to neuronal stress, proteotoxicity, membrane remodeling, and candidate neuroprotective compounds.
Detect compound-induced lipid perturbations and pathway disruption for early-stage safety evaluation.
Define strains, treatment groups, aging stages, dose-response conditions, and biological replicates.
Prepare synchronized worm samples with standardized collection and storage procedures.
Use extraction strategies optimized for broad lipidome coverage and sample compatibility.
Acquire lipidomic data using suitable chromatographic and MS/MS acquisition strategies.
Process features, annotate lipid candidates, and identify differentially changed lipid signals.
Interpret lipid classes, pathways, biomarker candidates, and validation priorities.
Untargeted lipidomics provides a comprehensive and discovery-driven view of lipid metabolism in C. elegans. It enables broad lipid detection, comparative lipidome analysis, lipid biomarker discovery, and pathway-level interpretation.
Whether you are investigating anti-aging mechanisms, functional ingredients, drug responses, disease models, or compound safety, CD BioSciences provides customized C. elegans untargeted lipidomics services to support discovery and mechanistic research.
Reference
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