Literature DB >> 17954214

Structure-specific, quantitative methods for analysis of sphingolipids by liquid chromatography-tandem mass spectrometry: "inside-out" sphingolipidomics.

M Cameron Sullards1, Jeremy C Allegood, Samuel Kelly, Elaine Wang, Christopher A Haynes, Hyejung Park, Yanfeng Chen, Alfred H Merrill.   

Abstract

Due to the large number of highly bioactive subspecies, elucidation of the roles of sphingolipids in cell structure, signaling, and function is beginning to require that one perform structure-specific and quantitative (i.e., "sphingolipidomic") analysis of all individual subspecies, or at least of those are relevant to the biologic system of interest. As part of the LIPID MAPS Consortium, methods have been developed and validated for the extraction, liquid chromatographic (LC) separation, and identification and quantitation by electrospray ionization (ESI), tandem mass spectrometry (MS/MS) using an internal standard cocktail that encompasses the signaling metabolites (e.g., ceramides, ceramide 1-phosphates, sphingoid bases, and sphingoid base 1-phosphates) as well as more complex species (sphingomyelins, mono- and di-hexosylceramides). The number of species that can be analyzed is growing rapidly with the addition of sulfatides and other complex sphingolipids as more internal standards become available. This review describes these methods as well as summarizes others from the published literature. Sphingolipids are an amazingly complex family of compounds that are found in all eukaryotes as well as some prokaryotes and viruses. The size of the sphingolipidome (i.e., all of the individual molecular species of sphingolipids) is not known, but must be immense considering mammals have over 400 headgroup variants (for a listing, see http://www.sphingomap.org), each of which is comprised of at least a few-and, in some cases, dozens-of lipid backbones. No methods have yet been developed that can encompass so many different compounds in a structurally specific and quantitative manner. Nonetheless, it is possible to analyze useful subsets of the sphingolipidome, such as the backbone sphingolipids involved in signaling (sphingoid bases, sphingoid base 1-phosphates, ceramides, and ceramide 1-phosphates) and metabolites at important branchpoints, such as the partitioning of ceramide into sphingomyelins, glucosylceramides, galactosylceramides, and ceramide 1-phosphate versus turnover to the backbone sphingoid base. This review describes methodology that has been developed as part of the LIPID MAPS Consortium (www.lipidmaps.org) as well as other methods that can be used for sphingolipidomic analysis to the extent that such is currently feasible. The focus of this review is primarily mammalian sphingolipids; hence, if readers are interested in methods to study other organisms, they should consult the excellent review by Stephen Levery in another volume of Methods in Enzymology (Levery, 2005), which covers additional species found in plants, fungi, and other organisms. It should be noted from the start that although many analytical challenges remain in the development of methods to analyze the full "sphingolipidome," the major impediment to progress is the limited availability of reliable internal standards for most of the compounds of interest. Because it is an intrinsic feature of mass spectrometry that ion yields tend to vary considerably among different compounds, sources, methods, and instruments, an analysis that purports to be quantitative will not be conclusive unless enough internal standards have been added to correct for these variables. Ideally, there should be some way of standardizing every compound in the unknown mixture; however, that is difficult, if not impossible, to do because the compounds are not available, and the inclusion of so many internal standards generates a spectrum that may be too complex to interpret. Therefore, a few representative internal standards are usually added, and any known differences in the ion yields of the analytes of interest versus the spiked standard are factored into the calculations. Identification of appropriate internal standards has been a major focus of the LIPID MAPS Consortium, and the methods described in this review are based on the development of a certified (i.e., compositionally and quantitatively defined by the supplier) internal standard cocktail that is now commercially available (Avanti Polar Lipids, Alabaster, AL). For practical and philosophical reasons, an internal standard cocktail was chosen over the process of an investigator adding individual standards for only the analytes of interest. On the practical level, addition of a single cocktail minimizes pipetting errors as well as keeping track of whether each internal standard is still usable (e.g., has it degraded while in solution?). Philosophically, the internal standard cocktail was chosen because an underlying premise of systems analysis asserts that, due to the high relevancy of unexpected interrelationships involving more distant components, one can only understand a biological system when factors outside the primary focus of the experiment have also been examined. Indeed, the first payoffs of "omics" and systems approaches involve the discoveries of interesting compounds in unexpected places when a "sphingolipidomic" analytical method was being used as routine practice instead of a simpler method that would have only measured the compound initially thought to be important (Zheng et al., 2006). Thus, routine addition of a broad internal standard cocktail at the outset of any analysis maximizes the opportunity for such discoveries, both at the time the original measurements are made and when one decides to return to the samples later, which can fortunately be done for many sphingolipids because they remain relatively stable in storage.

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Year:  2007        PMID: 17954214     DOI: 10.1016/S0076-6879(07)32004-1

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  68 in total

1.  Quantitation of multiple sphingolipid classes using normal and reversed-phase LC-ESI-MS/MS: comparative profiling of two cell lines.

Authors:  M Athar Masood; Raghavendra P Rao; Jairaj K Acharya; Josip Blonder; Timothy D Veenstra
Journal:  Lipids       Date:  2011-11-29       Impact factor: 1.880

Review 2.  Sphingolipid and glycosphingolipid metabolic pathways in the era of sphingolipidomics.

Authors:  Alfred H Merrill
Journal:  Chem Rev       Date:  2011-09-26       Impact factor: 60.622

3.  RNAi-based biosynthetic pathway screens to identify in vivo functions of non-nucleic acid-based metabolites such as lipids.

Authors:  Hongjie Zhang; Nessy Abraham; Liakot A Khan; Verena Gobel
Journal:  Nat Protoc       Date:  2015-04-02       Impact factor: 13.491

4.  Enhanced detection of sphingoid bases via divalent ruthenium bipyridine complex derivatization and electrospray ionization tandem mass spectrometry.

Authors:  M Athar Masood; Xia Xu; Jairaj K Acharya; Timothy D Veenstra; Josip Blonder
Journal:  Anal Chem       Date:  2009-01-01       Impact factor: 6.986

5.  Lipidomics joins the omics evolution.

Authors:  Edward A Dennis
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-11       Impact factor: 11.205

6.  Multiphasic triacylglycerol dynamics in the intact heart during acute in vivo overexpression of CD36.

Authors:  Andrew N Carley; Jian Bi; Xuerong Wang; Natasha H Banke; Jason R B Dyck; J Michael O'Donnell; E Douglas Lewandowski
Journal:  J Lipid Res       Date:  2012-10-25       Impact factor: 5.922

7.  Lithium Hydroxide Hydrolysis Combined with MALDI TOF Mass Spectrometry for Rapid Sphingolipid Detection.

Authors:  Anh Tran; Liting Wan; Zhenbo Xu; Janette M Haro; Bing Li; Jace W Jones
Journal:  J Am Soc Mass Spectrom       Date:  2020-10-30       Impact factor: 3.109

8.  Myristate-derived d16:0 sphingolipids constitute a cardiac sphingolipid pool with distinct synthetic routes and functional properties.

Authors:  Sarah Brice Russo; Rotem Tidhar; Anthony H Futerman; L Ashley Cowart
Journal:  J Biol Chem       Date:  2013-03-25       Impact factor: 5.157

9.  Quantitation of fatty acyl-coenzyme As in mammalian cells by liquid chromatography-electrospray ionization tandem mass spectrometry.

Authors:  Christopher A Haynes; Jeremy C Allegood; Kacee Sims; Elaine W Wang; M Cameron Sullards; Alfred H Merrill
Journal:  J Lipid Res       Date:  2008-02-20       Impact factor: 5.922

10.  Ceramide signaling in cancer and stem cells.

Authors:  Erhard Bieberich
Journal:  Future Lipidol       Date:  2008-06
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