Using lipidomics analysis to determine signalling and metabolic changes in cells.
Recent advances in lipidomics tools and software assist in the identification and quantification of lipid species detected by mass spectrometry. By integrating mass spectrometric lipid data into mapped pathways and databases, an entire network of lipid species which both demonstrates the complexity of lipid structures and biochemical interactions can be constructed. Here we demonstrate lipidomics analysis at both systematic and molecular levels. This review focuses on four points: how lipid data can be collected and processed with the support of tools, software and databases; how lipidomic analysis is performed at the molecular level; how to integrate data analysis into a biological context; how the results of such analysis predict enzyme activities and potential sites for therapeutic interventions or manipulation of enzyme activities.
The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, United Kingdom.
An
A
Nguyen
The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, United Kingdom.
Simon A
SA
Rudge
The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, United Kingdom.
Qifeng
Q
Zhang
The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, United Kingdom. Electronic address: Michael.wakelam@babraham.ac.uk.
Michael Jo
MJ
Wakelam
D000818:Animals; D002468:Cell Physiological Phenomena; D016208:Databases, Factual; D006801:Humans; D008055:Lipids / Q000032:analysis* / Q000737:chemistry; D013058:Mass Spectrometry / Q000379:methods*; D015398:Signal Transduction; D012984:Software
D008055:Lipids