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Cellular Lipid Extraction for Targeted Stable Isotope Dilution Liquid Chromatography-Mass Spectrometry Analysis
Published on: November 17, 2011
16.8K
Using lipidomics analysis to determine signalling and metabolic changes in cells.
An Nguyen1, Simon A Rudge1, Qifeng Zhang1
1The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, United Kingdom.
Current Opinion in Biotechnology
|November 7, 2016
Summary
Lipidomics tools and software enable detailed analysis of lipid structures and interactions. This approach aids in understanding complex lipid networks and predicting therapeutic targets.
Area of Science:
- Biochemistry
- Systems Biology
- Mass Spectrometry
Background:
- Lipidomics tools and software have advanced lipid identification and quantification.
- Mass spectrometry is a key technology in lipidomic analysis.
- Understanding lipid networks requires integrating data into biological contexts.
Purpose of the Study:
- To review lipidomics analysis at systematic and molecular levels.
- To demonstrate data collection, processing, and integration methods.
- To explore the prediction of enzyme activities and therapeutic targets.
Main Methods:
- Utilizing advanced lipidomics tools and software for data processing.
- Integrating mass spectrometric lipid data with pathways and databases.
- Analyzing lipidomic data at both systematic and molecular levels.
Main Results:
- Construction of complex lipid networks revealing biochemical interactions.
- Demonstration of lipidomics analysis at multiple levels.
- Identification of potential enzyme targets for therapeutic intervention.
Conclusions:
- Lipidomics analysis provides a comprehensive view of lipid complexity.
- Integrated lipidomic data can predict enzyme activities.
- This approach offers potential for therapeutic manipulation of enzyme activities.
