4.2 Review

Shotgun lipidomics: multidimensional MS analysis of cellular lipidomes

Journal

EXPERT REVIEW OF PROTEOMICS
Volume 2, Issue 2, Pages 253-264

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1586/14789450.2.2.253

Keywords

electrospray ionization mass spectrometry; intrasource separation; lipidome; lipidomics; multidimensional mass spectrometry; phospholipids; sphingolipids

Funding

  1. NHLBI NIH HHS [P01HL57278, R01HL41250] Funding Source: Medline

Ask authors/readers for more resources

Shotgun lipidomics, comprised of intrasource separation, multidimensional mass spectrometry and computer-assisted array analysis, is an emerging powerful technique in lipidomics. Through effective intrasource separation of predetermined groups of lipid classes based on their intrinsic electrical propensities, analyses of lipids from crude extracts of biologic samples can be directly and routinely performed. Appropriate multidimensional array analysis of lipid pseudomolecular ions and fragments can be performed leading to the identification and quantitation of targeted lipid molecular species. Since most biologic lipids are linear combinations of aliphatic chains, backbones and head groups, a rich repertoire of multiple lipid building blocks present in discrete combinations represent experimental observables that can be computer reconstructed in conjunction with their pseudomolecular ions to directly determine the lipid molecular structures from a lipid extract. Through this approach, dramatic increases in the accessible dynamic range for ratiometric quantitation and discrimination of isobaric molecular species can be achieved without any prior column chromatography or operator-dependent supervision. At its current state of development, shotgun lipidomics can analyze over 20 lipid classes, hundreds of lipid molecular species and more than 95% of the mass content of a cellular lipidome. Thus, understanding the biochemical mechanisms underlying lipid-mediated disease states will be greatly facilitated by the power of shotgun lipidomics.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available