Collected ultra-high sensitinity data of over 280,000 metabolites. Each sample can typically identify 1500-3000 metabolites.
The LC-MS untargeted metabolomics is used for unbiased detection of metabolites in samples by liquid chromatography-mass spectrometry and to obtain their qualitative and quantitative information.
The main application is for comparing the case group with the control group to find the metabolites and metabolic pathways that show significant differences between groups, which can provide clues and directions for the research in biomarker development, disease pathogenesis, and drug treatment mechanisms.
Collected ultra-high sensitinity data of over 280,000 metabolites. Each sample can typically identify 1500-3000 metabolites.
A comprehensive identification of metabolites was performed using four qualitative methods:
Matching to in-house standard database;
Matching to integrated public database;
Matching to AI database;
Identify using the metDNA algorithm.
A mature quality control system monitoring all aspects of experimentation from sample preparetion to data collection.
Clinical marker discovery and development
Understanding mechanisms behind disease progression
Studying drug efficacy and toxicity
Environmental toxicology research
Genes will tell you what may happen, metabolites tell you what is happening or has happened (Bill Lasley) Metabolomics is the qualitative and quantitative assessment of metabolites (small chemical molecules<1.5 kda). The metabolites are the downstream product of protein activity as well as the result of interactions with environmental exposures, and thus they are closely related to the phenotype. Over the last decade, metabolomics is coming to the forefront as a powerful tool for understanding disease mechanisms. and identifying biomarkers, and has great potential for clinical translation.
Sample Type | Sample | Recommended Sample | Minimum Sample | Minimum Sample |
Liquid | Plasma, serum, hemolymph, milk, egg white | 100μL | 20μL | human>30 |
animal>8 | ||||
Cerebrospinal fluid, tear fluid, interstitial fluid, uterine fluid, pancreatic, fluid and bile, pleural effusion, follicular fluid, corpse fluid | 100μL | 20μL | human>30 | |
animal>8 | ||||
seminal plasma, amniotic fluid, prostate fluid, rumen fluid, respiratory, condensate, gastric lavage fluid, alveolar lavage fluid, urine, sweat, saliva, sputum | 500μL | 100μL | human>30 | |
animal>8 | ||||
Tissue | Animal tissue, placenta, thrombus, fish skin, mycelium, nematode | 100mg | 20mg | human>30 |
animal>8 | ||||
whole body, aircraft (wings). pupae | 500mg | 20mg | human>30 | |
animal>8 | ||||
Zebrafish organs, insect organs | 20 | 10 | animal>8 | |
Cell | Adherent cells | 1*10^6 | 5*10^5 | human>30 |
animal>8 | ||||
Escherichia coli and other microorganisms | 1*10^10 | 5*10^8 | animal>8 | |
Feces | Feces, ilntestinal contents | 200 mg (wet weight) | 50 mg (wet weight) | human>30 |
animal>8 |
Please submit a detailed description of your project. We will provide you with a customized project plan metabolomics services to meet your research requests. You can also send emails directly to support-global@metwarebio.com for inquiries.