Untargeted metabolomics enables the unbiased detection of dynamic changes in most small molecule metabolites within an organism in response to external stimuli. By leveraging Liquid Chromatography-Mass Spectrometry (LC-MS), researchers can gain comprehensive insights into biological systems influenced by environmental, genetic ortherapeutic variations.
At Novogene, our comprehensive untargeted metabolomics services offer the latest state-of-the-art LC-MS technologies together with cutting-edge bioinformatics analyses to deliver high-quality metabolomic data to support your research.
Applications:
Untargeted metabolomics plays a vital role in agricultural, clinical, and medical research by offering insights into plant and soil metabolite profiles, stress responses, and environmental interactions, while also facilitating the in-depth study of metabolic changes related to diseases, drug responses, and personalized medicine.
- Stress Resistance Research
- Crop Improvement & Breeding
- Plant Growth, Soil Health & Microbial Interactions
- Food Science Research
- Biomarker Screening
- Pathological Mechanisms
Advantages and Features of Novogene's Untargeted Metabolomics Services
- Ultra-high Resolution and Sensitivity: Powered by the TripleTOF 6600+ mass spectrometry platform, Novogene delivers exceptional data quality for precise and reliable results.
- High Quality Database::
- Access to an extensive catalog of over 280,000 metabolites, complemented by a repository of 30,000+ purified chemical standards spanning diverse metabolite classes. This rich collection forms the cornerstone for precise metabolite identification and analysis.
- Rigorous Quality Control: 10 QC indicators for monitoring all aspects of experimentation from sample preparation to data collection.
- Comprehensive Metabolite Information:
1) In-house standard database;
2) Integrated public database;
3) AI database;
Sample Requirements for Animal Tissues and Fluids Metabolomics Samples：
| Sample Type | Sample | Recommended Sample | Minimum Sample | Biological Replicate |
| Liquid | Plasma, Serum, Hemolymph, Milk, Egg White | 100μL | 20μL | human≥30, animal≥8, Plant≥3 |
| Cerebrospinal Fluid, Tear Fluid, Interstitial Fluid, Uterine Fluid, Pancreatic Fluid and Bile, Pleural Effusion, Follicular Fluid, Culture Medium | 100μL | 20μL | ||
| Seminal Plasma, Amniotic Fluid, Prostate Fluid, Rumen Fluid, Respiratory Condensate, Gastric Lavage Fluid, Alveolar Lavage Fluid, Urine, Sweat, Saliva, Sputum | 500μL | 100μL | ||
| Tissue | Animal Tissue, Placenta, Thrombus, Fish Skin, Nematode | 100mg | 20mg | |
| Insect Whole Body, Insect Wings, Pupae | 500mg | 20mg | ||
| Zebrafish Organs, Insect Organs | 20mg | 10mg | ||
| Stem, Bud, Node, Leaf, Root, Flower, Fruit, Healing Tissue, Animal Tissue | 300mg | 200mg | ||
| Cell | Adherent Cells | 1*10^6 | 5*10^5 |
Notes:
1) Not applicable for GC-MS.
2) For extracted metabolites, we advise the recommended quantity for the extraction process.
3) Appropriate for Untargeted Metabolomics, TM Widely-Targeted Metabolomics, Quantitative Lipidomics, and Energy Metabolism studies.
Sample Requirements for Plant Tissues and Fluids Metabolomics Samples：
| Sample Type | Sample | Recommended Sample | Minimum Sample | Biological replicate |
| Tissue | Fresh Tissue Sample: Root、Stem、Leaf、Flower、Fruit | 600mg | 300mg | human≥30, animal≥8, Plant≥3 |
| Dry Sample | 50mg | 30mg | ||
| Liquid | Root secretion | 10ml | 3ml | |
| Wine，Fermented Broth | 5ml | 3ml | ||
| Tissue fluid、Extracting solution | 500μl | 200μl | ||
| Jjuice | 5ml | 3ml | ||
| Oil、Essential oil | 500μl | 200μl | ||
| Honey | 500μl | 200μl | ||
| Special Tissue | Trichome | 50mg | 15mg |
Notes:
1) Not applicable for GC-MS.
2) For extracted metabolites, please advise on the recommended quantity for the extraction process.
3) Suitable for Widely-Targeted Metabolomics for Plants and Flavonoids Metabolomics.
4) Recommended sampling approach:
– Collect samples from 3 or more individuals for each biological replicate.
– Ensure a minimum of 3 biological replicates per sample group.
– Example: Combine leaves from 3 individual plants as one replicate; repeat for 2 more replicates (involving 6 additional individual plants) to achieve 3 biological replicates for one experimental group (e.g., Control).
– Repeat the process with 9 individual plants for the second experimental group (e.g., Treatment).
List of Detectable Metabolites
| Database Type | Metabolites | MS2 Spectra | Notes |
| Integrated Public Database | 150,000+ | 2,000,000+ | Aggregates data from KEGG, HMDB, METLIN, MassBank, and LipidSearch |
| AI Database | 130,000+ | 720,000+ | AI-curated library to expand identification coverage and confidence |
| In-House Database | 3,000+ | 20,000+ | Custom-developed database for validated, high-confidence metabolite annotation |
Project Workflow
Metabolomics research experimental procedures encompass sample collection and pre-processing, metabolite extraction, LC-MS data acquisition, metabolite annotation and identification through database searching, and bioinformatic analysis. These steps enable researchers to gain holistic insights into the metabolic state of a system.
At Novogene, we uphold the highest standards of precision and quality control at every step of the experimental process, ensuring consistent, reliable and high-quality data for your research.
Metabolite Classification Pie Chart
Visualization of the proportion of different metabolite categories based on their respective numbers.
PCA analysis of total samples
Convert a group of variables that may have correlation into a group of linear uncorrelated variables through orthogonal transformation
PLS-DA plot
Uses partial least squares regression to establish the relationship model between the relative quantitative value of metabolites and the sample category to realize the prediction of the sample category.
Volcano plot of differential metabolites
Volcano plot of differential metabolites
Lollipop chart of different metabolites
Show the up and down-regulation of the metabolites and the substances with large difference multiple changes.
Box plot of differential metabolite
Display the measurement statistics of the central trend and the measurement statistics of the dispersion.
Differential metabolite violin map
The distribution pattern of the same metabolite across different groups.
K-Means analysis of differential metabolites
The variation trend of metabolites across different groups.
Correlation analysis of different metabolites
The consistency of variation trends between pairs of metabolites, where red indicates a positive correlation and blue indicates a negative correlation.
Chord diagram of differential metabolites
Reflects the correlation and association between pairs of differential metabolites.
Z-score analysis
The relative abundance levels across different groups.
Cluster analysis of differential metabolites
Metabolites with similar or identical metabolic patterns are clustered together to infer their functions.
KEGG enrichment bubble diagram
The hypergeometric test algorithm is used to analyze the relevant metabolic pathways associated with differential metabolites between two groups.
KEGG enrichment pathway diagram
GSEA analysis
ROC curve Analysis of differential metabolite
Use the Area Under the Curve (AUC) to evaluate the sensitivity and specificity of metabolite detection.
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