Following the ideas of genomics and proteomics, metabolomics is an emerging omics that is the qualitative and quantitative analysis of all metabolites in an organism to find the relationship between metabolites and physiological changes. Metabolomics is the study of endogenous small molecules with a relative molecular mass of less than 1500 Da, which analyzes the changes of metabolites of biological systems (cells, tissues, or organisms) after stimulation or disturbance.

Service Specifications

Untargeted metabolomics refers to the non-biased detection of the dynamic changes of all small molecule metabolites in cells, tissues, organs, or organisms after stimulation or disturbance by LC-MS, GC-MS, and NMR technology. Differential metabolites are screened by bioinformatics analysis, and then pathway analysis is performed to reveal the physiological mechanism of their changes.

Applications

  • Phenotypic and Physiological Functions
  • Pathological Study of Diseases
  • Clinical Diagnosis and Treatment
  • Drug Research
  • Food Science and Nutrition
  • Animal Husbandry and Agroforestry
  • Environmental Toxicology

Competitive Advantages

  • Advanced Instrument Platform: UHPLC-QE-MS & UHPLC-QTOF-MS & GC-Q-MS.
  • Abundant Commercial Databases: Many commercial databases, more than 2000 standard databases, more accurate qualitative data.
  • Strict Quality Control: Rigorous method validation in analytical processes.
  • Personalized Service: Professional bioinformatics teams, Personalized bioinformatics analysis services.

Untargeted Metabolomics Work Flow

Service Specifications

Service Types Sample Type Sample Requirements Platform Price Turnaround Time Deliverables
Untargeted Metabolomics(LC-MS) Cell ≥107 Thermo Q Exactive Focus Inquire Inquire
  • Raw data
  • Data analysis report
Tissue Animal tissue ≥100mg, plant tissue ≥1000mg, microorganism ≥60mg
Feces ≥150mg
Untargeted Metabolomics(GC-MS) Bodily Fluid Serum/plasma ≥100µL, urine ≥125µL, saliva ≥0.5ml GC-Q-MSC
Exosome ≥200µL
Soil ≥5g

Project Design
Untargeted metabolomics is used to detect and quantify total metabolites in biological samples. The design idea of untargeted metabolomics experiments is to compare differential metabolites under different treatments or physiological states and to explore the difference of mechanisms. At least 8 biological replicates are required for cell, plant, and microbial samples in each group. At least 10 biological replicates are required for animal samples in each group. At least 30 biological replicates are required for clinical samples each group.

Analysis Item

Number Analysis Item Number Analysis Item
1 Raw data preprocessing 6 OPLS-DA analysis
2 Data quality control 7 Differential metabolites expression analysis
3 Base peak chromatogram 8 Cluster analysis of differential metabolites
4 PCA analysis 9 ROC analysis
5 PLS-DA analysis 10 KEGG pathway analysis

Data Analysis

BPC of Typical Samples

PCA Score Plot

PLS-DA Score Plot

PLS-DA Permutation Test Plot

Correlation Heatmap of Differential Metabolites

Pathway Impact Plot

Targeted metabolomics refers to several target compounds or target metabolites involved in a certain pathway. The targeted metabolomics method with high specificity, high sensitivity, and good reproducibility was established by using the standard compounds for absolute quantitative analysis of the target metabolites. Technique platforms include liquid chromatograph-mass spectrometer (LC-MS) and Selective Reaction Monitor / Multi Reaction Monitor (SRM/MRM).

Targeted Metabolites List

Metabolites Category Metabolites Type Metabolites Names
Short-chain fatty acids 7 Acetic acid, Propionic acid, Butyric acid, Isobutyric acid, Pentanoic acid, Isovaleric acid, Hexanoic acid
TMAO and related metabolites 5 Trimethylamine N-oxide, Choline, Betaine, Creatinine, L-Carnitine
Amino acid 22 L-Asparagine, L-Phenylalanine, L-Valine, L-Lysine, L-Alanine, L-Serine, Glycine, etc.
Fatty acid 51 Methyl Caproate, Methyl Caprylate, Methyl Caprate, Methyl Undecanoate, Methyl Laurate, etc.
Neurotransmitter 23 Histamine, Tyramine, Levodopa, Tryptamine, et al
Bile acid 40 Allolithocholic acid, Lithocholic acid, Isolithocholic acid, Deoxycholic acid, Cholic acid, etc.

Applications

  • Short-Chain Fatty Acids: Regulating blood sugars, anti-inflammatory, improving intestinal functions, etc.
  • TMAO and Related Metabolites: Aquatic products, mammals, plants, cardiovascular diseases, diabetes, etc.
  • Amino Acids: Cardiovascular diseases, diabetes, plant stress tolerance, plant growth and development, etc.
  • Fatty Acids: Animal and plant oil, regulating cell membrane composition, etc.
  • Neurotransmitters: Tissue fluid and blood samples, particular chemical that acts as a messenger, etc.
  • Bile Acids: Liver and gall diseases, gastrointestinal diseases etc.

Competitive Advantages

  • Advanced Mass Spectrometry Platform: High sensitivity.
  • Strict Quality Control (QC): Set QC sample, standard curve R2>0.99.
  • Complete Data Analysis: Comprehensive targeted metabolic data analysis.

Targeted Metabolomics Work Flow

Service Specifications

Service Types Sample Types Platform Price Turnaround Time Deliverables
Short-chain fatty acids Cell, Tissue: Animal tissue/plant tissue/microorganism, Feces Bodily Fluid: Serum/plasma/urine/saliva, Exosome, Soil, etc. GC-Q-MS Inquire Inquire
  • Raw data
  • Data analysis report
TMAO and related metabolites LC-MS/MS
Amino acids LC-MS/MS
Fatty acids GC-Q-MS
Neurotransmitters LC-MS/MS
Bile acids LC-MS/MS

Project Design
Targeted metabolomics analysis has several characteristics, such as high specificity, high sensitivity, and quantitative accuracy. It can be combined with other experimental data to reveal relevant molecular mechanisms by accurate quantitative and qualitative analysis of a specific metabolite. On the other hand, it can also provide strong supports for the development and utilization of metabolic biomarkers in the future. Targeted metabolomics can be used to test hypotheses proposed by untargeted metabolomics experiments.

Analysis Item

Number Analysis Item Number Analysis Item
1 Raw data preprocessing 6 OPLS-DA analysis
2 Standard curve drawing 7 Quantitative analysis of target metabolites
3 Total ion chromatogram (TIC) 8 Cluster analysis of target metabolites
4 PCA analysis 9 ROC analysis
5 PLS-DA analysis 10 KEGG pathway analysis

Data Analysis

TIC of Samples

Standard Curve

Metabolites Cluster Heatmap

Box Plot of Target Metabolites

Z-score Plot

Metabolic Pathway Plot

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