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Lipidomics Profiling

DESCRIPTION
SPECIFICATION
RESOURCES


Service Description

BGI Genomics lipidomics profiling services are designed to obtain a lipid profile and screen for differentially-expressed lipids in the sample. BGI Genomics has extensive experience in the field of lipidomics profiling with developed reliable workflows using market leading technologies and an advanced bioinformatics infrastructure¹.

Lipidomics Profiling

Combined with LipidSearch software and advanced algorithm analysis, BGI Genomics' lipidomics profiling service enables confirmation of lipid structure characteristics such as lipid molecule head structure, fatty acid branch chain length and unsaturated double bond number by comparing the characteristic signals of precursor ions, MS2 fragments and neutral loss. LipidSearch is equipped with the largest lipids database, covering 8 categories of lipids, 300 lipid subclasses, and containing more than 1.7 million lipid ions and their predictive fragment ions information.

Project Workflow

References

[1] Zhong H, et al., Lipidomic profiling reveals distinct differences in plasma lipid composition in healthy, prediabetic, and type 2 diabetic individuals. Gigascience, 2017 07 01; 67(7). doi:10.1093/gigascience/gix036.

Mass Spectrometry Service Specification

Lipidomics Profiling services are performed using Waters ACQUITY UPLC and cutting-edge mass spectrometer (Q Exactive™ HF-X et al).
  • Sample Preparation and Services

    • Increase metabolome depth of coverage using ACQUITY UPLC CSH C18 column
    • (+) and (-) ESI detection by Q Exactive™ HF-X et al 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

DATA ANALYSIS
  • Data analysis performed with metaX1 and BGI library
  • T-test, PCA, PLS-DA, OPLS-DA for differential metabolic identification
  • Cluster analysis
  • Metabolite pathway annotation
  • ROC analysis
  • Metabolite correlation analysis

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