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Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 J+Cheminform 2017 ; 9 (ä): ä Nephropedia Template TP
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Comprehensive identification of sphingolipid species by in silico retention time and tandem mass spectral library #MMPMID28316657
Tsugawa H; Ikeda K; Tanaka W; Senoo Y; Arita M; Arita M
J Cheminform 2017[]; 9 (ä): ä PMID28316657show ga
Background: Liquid chromatography coupled with electrospray ionization tandem mass spectrometry (LC?ESI?MS/MS) is used for comprehensive metabolome and lipidome analyses. Compound identification relies on similarity matching of the retention time (RT), precursor m/z, isotopic ratio, and MS/MS spectrum with reference compounds. For sphingolipids, however, little information on the RT and MS/MS references is available. Results: Negative-ion ESI?MS/MS is a useful method for the structural characterization of sphingolipids. We created theoretical MS/MS spectra for 21 sphingolipid classes in human and mouse (109,448 molecules), with substructure-level annotation of unique fragment ions by MS-FINDER software. The existence of ceramides with ?-hydroxy fatty acids was confirmed in mouse tissues based on cheminformatic- and quantum chemical evidences. The RT of sphingo- and glycerolipid species was also predicted for our LC condition. With this information, MS-DIAL software for untargeted metabolome profiling could identify 415 unique structures including 282 glycerolipids and 133 sphingolipids from human cells (HEK and HeLa) and mouse tissues (ear and liver). Conclusions: MS-DIAL and MS-FINDER software programs can identify 42 lipid classes (21 sphingo- and 21 glycerolipids) with the in silico RT and MS/MS library. The library is freely available as Microsoft Excel files at the software section of our RIKEN PRIMe website (http://prime.psc.riken.jp/). Electronic supplementary material: The online version of this article (doi:10.1186/s13321-017-0205-3) contains supplementary material, which is available to authorized users.