untargeted metabolomics -凯发天生赢家一触即发官网

untargeted metabolomics

description
specification
resources

service description

bgi genomics has extensive experience in the field of untargeted metabolomics with developed reliable workflows using market leading technologies and an advanced bioinformatics infrastructure.

untargeted metabolomics

by applying cutting-edge lc-ms/ms systems and techniques, bgi genomics offers validated workflows of untargeted metabolomics to support biomedical and biotechnology applications¹. our untargeted metabolomics services are designed to obtain a metabolite profile and screen for differentially-expressed molecules in the sample.

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

untargeted metabolomics services are performed using waters acquity uplc and cutting-edge mass spectrometer (q exactive hf/hf-x and q-tof 5600).
  • sample preparation and services

    • increase metabolome depth of coverage using both acquity uplc beh c18 and amide column
    • ( ) and (-) esi detection by a q exactive hf/hf-x mass spectrometer


  • quality standard

    • summary includes all methods and data analysis
    • reports provided in excel or pdf format, raw files available upon request


  • turn around time

    • typical 5-7 weeks after sample receipt for raw data delivery


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≥ 300 µl≥ 100 µl
urine≥ 300 µl≥ 100 µl
animal and clinical tissues≥ 200 mg≥ 25 mg
feces and intestinal contents≥ 200 mg≥ 25 mg
cell1×10^75×10^6
microorganism≥ 200 mg≥ 25 mg
culture medium, fermentation medium≥ 1 ml≥ 100 µl
milk≥ 1 ml≥ 100 µl
other body fluids (amniotic fluid, saliva, hemolymph, cerebrospinal fluid, etc.)≥ 300 µl≥ 100 µl
data analysis
  • data analysis performed with metax1 and bgi genomics library
  • t-test, pca, pls-da, opls-da for differential metabolite identification
  • cluster analysis
  • metabolite pathway annotation
  • roc analysis
  • metabolite correlation analysis


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