High-throughput targeted metabolomics HML1600

DESCRIPTION
SPECIFICATION
RESOURCES

Service Description

BGI Genomics has extensive experience in the field of targeted metabolomics spanning accurate quantification of target metabolites, verification of hypothesis by untargeted metabolomics or other omics, and metabolic model study for specific metabolites1.

HML1600

The HML1600 can achieve absolute quantification for more than 1600 lipids of 12 subclasses by the method of combining standard curves with internal standard, covering all kinds of lipids with important biological functions. HML1600 is used for nervous system disease research, cardiovascular and cerebrovascular disease research, nutritional metabolism research, lipid metabolism research and other fields.

Project Workflow

References

[1] Liu R., et al., Gut microbiome and serum metabolome alterations in obesity and after weight-loss intervention. Nat Med, 2017. 23(7): p. 859-868.

Mass Spectrometry Service Specification

HML1600 high-throughput targeted metabolomics services are performed using Waters ACQUITY UPLC and SCIEX QTRAP 5500.
  • Sample Preparation and Services

    • Custom-developed UPLC-MRM/MS methods combine isotope internal standard technology
    • Metabolomics quantification using standard curves and internal standards with exceptional accuracy and precision
    • Using LC-MS (SCIEX QTRAP 5500) to increase the scope of detection
  • Quality Standard

    • Summary includes all methods and data analysis
    • Reports provided in Excel or PDF format
  • Turn Around Time

    • Typical 5-7 weeks after sample receipt

Sample Requirements

We accept metabolite samples in a variety of formats. Contact your BGI Genomics account representative for details for your samples.
SAMPLE TYPERECOMMENDED SAMPLE AMOUNTMINIMUM SAMPLE AMOUNT
Serum, plasma, urine≥ 100 µL≥ 50 µL
Animal and clinical tissues, feces and intestinal contents, microorganism≥ 50 mg≥ 20 mg
Cell1×10^71×10^5
Culture medium, fermentation medium≥ 500 µL≥ 100 µL

Data Analysis

Data Analysis
  • Data analysis performed with metaX and BGI Genomics library
  • Data quality control
  • Standard curves
  • Quantification results

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