Literature DB >> 16652392

Mass spectrometry-based profiling of phospholipids and sphingolipids in extracts from Saccharomyces cerevisiae.

Xue Li Guan1, Markus R Wenk.   

Abstract

Lipids are rapidly moving to centre stage in many fields of biological sciences. Lipidomics, the systems-level scale analysis of lipids and their interacting factors, is thus an emerging field which holds great promise for drug and biomarker discovery. Here we present a mass spectrometry-based approach for profiling of polar lipids, in particular phospholipids and sphingolipids, in Saccharomyces cerevisiae. The first step includes semi-quantitative surveys of lipids in an untargeted fashion, which is particularly powerful for detection of changes that cannot easily be anticipated. This leads to the identification of ions with increased or decreased signal intensities. Comprehensive theoretical calculation of the masses of yeast phospholipid and sphingolipid molecular species, based on fatty acyl and headgroup heterogeneity, is next used to tentatively assign ions of interest. Subsequent targeted analysis using tandem mass spectrometry allows for characterization and quantification of phospholipids and sphingolipids. Given the high degree of conservation in pathways of lipid metabolism between different organisms, it can be expected that this method will lead to the discovery of novel enzymatic activities and modulators of known ones, particularly when used in combination with genetic and chemogenetic libraries and screens. We validated the method using the EUROSCARF library of non-essential deletion mutants. Mutants of SCS7, a lipid hydroxylase, and SLC1, a putative acyl transferase with unknown substrate specificity, were profiled for their phospholipid and sphingolipid content. The observed changes in lipid profiles are consistent with previous observations and extend our knowledge on in vivo substrate use under permissive growth conditions. Copyright 2006 John Wiley & Sons, Ltd.

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Year:  2006        PMID: 16652392     DOI: 10.1002/yea.1362

Source DB:  PubMed          Journal:  Yeast        ISSN: 0749-503X            Impact factor:   3.239


  35 in total

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Review 2.  Roles for sphingolipids in Saccharomyces cerevisiae.

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4.  Lipidomics of intact mitochondria by MALDI-TOF/MS.

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5.  Global analysis of the yeast lipidome by quantitative shotgun mass spectrometry.

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-27       Impact factor: 11.205

6.  Ethanol production and maximum cell growth are highly correlated with membrane lipid composition during fermentation as determined by lipidomic analysis of 22 Saccharomyces cerevisiae strains.

Authors:  Clark M Henderson; Michelle Lozada-Contreras; Vladimir Jiranek; Marjorie L Longo; David E Block
Journal:  Appl Environ Microbiol       Date:  2012-10-12       Impact factor: 4.792

7.  Characterization of substrate preference for Slc1p and Cst26p in Saccharomyces cerevisiae using lipidomic approaches and an LPAAT activity assay.

Authors:  Guanghou Shui; Xue Li Guan; Pradeep Gopalakrishnan; Yangkui Xue; Joyce Sze Yuin Goh; Hongyuan Yang; Markus R Wenk
Journal:  PLoS One       Date:  2010-08-04       Impact factor: 3.240

8.  A review of lipidomic technologies applicable to sphingolipidomics and their relevant applications.

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Journal:  Eur J Lipid Sci Technol       Date:  2009       Impact factor: 2.679

9.  Functional interactions between sphingolipids and sterols in biological membranes regulating cell physiology.

Authors:  Xue Li Guan; Cleiton M Souza; Harald Pichler; Gisèle Dewhurst; Olivier Schaad; Kentaro Kajiwara; Hirotomo Wakabayashi; Tanya Ivanova; Guillaume A Castillon; Manuele Piccolis; Fumiyoshi Abe; Robbie Loewith; Kouichi Funato; Markus R Wenk; Howard Riezman
Journal:  Mol Biol Cell       Date:  2009-02-18       Impact factor: 4.138

10.  Fermentation temperature modulates phosphatidylethanolamine and phosphatidylinositol levels in the cell membrane of Saccharomyces cerevisiae.

Authors:  Clark M Henderson; Wade F Zeno; Larry A Lerno; Marjorie L Longo; David E Block
Journal:  Appl Environ Microbiol       Date:  2013-06-28       Impact factor: 4.792

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