High-Resolution Untargeted Metabolome Profiling
Comprehensive LC-MS/MS or high-resolution MS profiling to detect a broad range of polar, semi-polar, and endogenous small-molecule features.
Untargeted metabolomics is a comprehensive mass spectrometry-based approach designed to globally detect, annotate, and compare metabolites without limiting the analysis to predefined targets.
For C. elegans, untargeted metabolomics provides a discovery platform for identifying metabolic biomarkers, revealing pathway perturbations, exploring compound mechanisms, and generating new hypotheses.
Metabolites are direct readouts of biological function and can reflect changes in genetic regulation, environmental exposure, disease progression, drug treatment, nutritional status, and toxicological stress.
In C. elegans, global metabolite profiling can be used to study energy metabolism, amino acid metabolism, nucleotide metabolism, oxidative stress response, neurotransmitter-related pathways, reproductive biology, xenobiotic metabolism, and neurodegenerative disease mechanisms.
Unlike targeted metabolomics, untargeted metabolomics aims to capture as many detectable metabolic features as possible. This makes it valuable when the most relevant metabolites or pathways are not yet known.
Fig.1 Metabolomic profiling of male C. elegans.
CD BioSciences provides reliable and customized C. elegans Untargeted Metabolomics 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.
Comprehensive LC-MS/MS or high-resolution MS profiling to detect a broad range of polar, semi-polar, and endogenous small-molecule features.
Select monophasic, biphasic, HILIC, reversed-phase, positive-mode, or negative-mode strategies according to project goals and metabolite coverage needs.
Compare wild-type, knockout, RNAi-treated, transgenic, xenobiotic metabolism-related, or disease-model strains to discover genotype-specific metabolic signatures.
Investigate how drugs, pesticides, environmental contaminants, natural products, or bioactive compounds reshape endogenous metabolism.
Analyze metabolic signatures associated with Alzheimer’s disease, Parkinson’s disease, monoamine dysfunction, β-amyloid toxicity, or dopaminergic stress models.
Identify candidate biomarkers and map differential features to metabolic pathways for mechanism generation and targeted validation planning.
The untargeted metabolomics workflow is designed for broad metabolite discovery rather than predefined quantification. Detectable feature categories may include:
Identify metabolic signatures related to neuronal stress, proteotoxicity, dopaminergic dysfunction, β-amyloid toxicity, or candidate drug response.
Study how detoxification-related strains and exposure conditions affect endogenous metabolites and compound response pathways.
Reveal metabolic mechanisms associated with pesticide or herbicide exposure, reproductive impairment, locomotion changes, and pathway disruption.
Detect early metabolic warning signals related to monoamine storage disruption, toxicant exposure, or neuroactive compounds.
Combine global metabolomics with brood size, germline, gonadal development, egg-laying, growth, and behavior assays.
Discover candidate biomarkers when the key pathway is unknown and prioritize features for follow-up validation.
Define strains, disease models, exposure conditions, developmental stage, sample size, and biological replicates.
Prepare synchronized wild-type, mutant, transgenic, compound-treated, or toxicant-exposed groups.
Extract broad metabolite classes using strategies selected for the desired discovery coverage.
Acquire untargeted metabolomics data using appropriate chromatographic and ionization modes.
Perform peak picking, alignment, deconvolution, normalization, QC filtering, and metabolite candidate annotation.
Deliver PCA, PLS-DA, heatmaps, volcano plots, pathway analysis, and biomarker prioritization.
Untargeted metabolomics provides a comprehensive and discovery-driven view of metabolic regulation in C. elegans. By globally profiling metabolic features across strains, treatments, disease models, and exposure conditions, this service helps researchers identify biomarkers, reveal pathway perturbations, and generate new biological hypotheses.
Whether you are studying neurodegenerative disease mechanisms, xenobiotic metabolism, pesticide toxicity, environmental safety, reproductive toxicity, neurotoxicity, or drug response, CD BioSciences provides customized C. elegans untargeted metabolomics services to support your research goals.
References
For research use only.
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