Mass-Spectrometric Analysis of Lipids (Lipidomics) 1. Identification 2. Quantification 3. Metabolism Why to do lipidomics? Biology: Functions of different lipids? Medicine: Diagnostics and Therapy Industry: Healthier food, Quality control GlyceroPhospholipids H H H H O P O O H2C H C O O CH2 H H O N H O H H H H H H >10 classes (PC, PE, PS, PI, PA etc) O - Each class consists of numerous species with different fatty acid combinations (>20 different fatty acids) => Thousands of different molecular species possible Phosphatidylcholine (PC) Neutral Glycerolipids - Triacylglycerols (TG) - Diacylglycerols (DG) - Monoacylglycerols (MG) -Each class consists of numerous species due to different fatty acid combinations => Hundreads of different molecular species TG DG Sphingolipids - Ceramides - Neutral Glycosphingolipids - Acidic Glycosphingolipids -Each class consists of numerous species due to different fatty acid => Hundreads of different molecular species Lactosylceramide Ganglioside Sulfatide The complete lipidome of no cell or tissue has ever been determined ...because of technical limitations Advantages of MS analysis Sensitivity >1000-fold higher than with conventional methods Resolution - Allows quantification of hundreds of lipid species Speed -100 times faster Can be automated - High troughput possible Ionization methods used in lipid MS Electrospray (ESI) – Does not cause fragmentation – Can be easily automated – Compatible with on-line LC Matrix-assisted laser desorption (MALDI) – Less used thus far – Suppression by PC/SM > All lipids not detected – On-line LC separation not feasible Electrospray ionization Competition for charge => Suppression effects! MS spectrum of cellular lipid extract = a Mess! Intens. PE 18:0/18:2 PS 18:0/18:1 PE 18:0/20:4 6000 PE 18:0/22:5 4000 PE 18:0/20:4 PE 16:0/18:1 LBPA 18:1/18:1 2000 0 PI 18:0/20:3 PI !8:0/18:2 PA 18:0/18:2 700 725 750 775 800 825 850 875 m/z Scanning MS1 Collision cell MS2 Detector How to improve selectivity? A. Lipid class -specific scanning (MS/MS) B. On-line chromatographic separation (LC-MS) Lipid class -specific scanning Phospholipid class consist of species with the same polar head-group but different fatty acids O CH2 O O CH O H2C O O P O X O Phospholipid class Phosphatidylcholines Phosphatidylinositols Phosphatidylethanolamines Phosphatidylserines Specific scan Precursors of +184 Precursors of -241 Neutral-loss of 141 Neutral-loss of 87 Precursor ion scanning Requires a characteristic, charged product ion PC => Diglyceride + phosphocholine (+184) Scanning Fragmentation Static (+184) MS1 Collision cell MS2 (Helium or Argon) Precursors of +184 => PC + SM SM-16:0 -Alkaline hydrolysis can be used to remove PCs Neutral-loss scanning ..when the characteristic fragment is uncharged PE => Diglyceride (+) + phosphoethanolamine (141) Mass interval = 141 Scanning MS1 Fragmentation Collision cell (Helium or Argon) Scanning MS2 Neutral-loss of 141 (= PE) 700 750 800 MS-scan Intens. PE 18:0/18:2 PS 18:0/18:1 PE 18:0/20:4 6000 PE 18:0/22:5 4000 PE 18:0/20:4 PE 16:0/18:1 LBPA 18:1/18:1 2000 0 PI 18:0/20:3 PI PA 18:0/18:2 700 725 750 775 800 825 850 !8:0/18:2 875 m/z MS analysis of Sphingolipids OH OH HO COOH O O AcHN O HO OH OH OH HO COOH AcHN OHOH HO O H H CH 2 H HC N O HO O H OH H OH H HO H HO CH H H OH H O H H O CH H C H N O O H HC H N O O C OH H CH2 CH2 CH2 HC O O O O O O O H H H O H OH H H OH C OH H OH H CH 2 H HC N O H3SO3- H OH C OH H OH H O O OH H H3SO3- O O HC O O CH C H N OH O O CH CH Sphingosine Ceramide Lactosylceramide Ganglioside Sulfatide Ceramide and Neutral Glycosphingolipids - Precursors of sphingosine (m/z +264) Glucosylceramides Ceramides 24:1 Sulfatides - Precursors of Sulfate (m/z -97) Liquid chromatography-MS (LC-MS) Advantages - Increased sensitivity due to diminished suppression of minor species by - Major species - Impurities Disadvantages – Takes more time (not UPLC) – Data analysis more complex (?) LC-MS analysis of mouse brain lipids Time Hermansson et al. (2005) Anal Chem.77:2166-75 Data analysis => software A. Processing of the data => Identification => Concentrations B. Bioinformatics => Biomarkers? =>Biological significance? Quantification not simple Signal intensity depends on: • • • • • • Lipid head-group Acyl chain length Acyl chain unsaturation Ions present (adduct formation) Detergent and other impurities (suppression) Solvent composition and instrument settings => Internal standards necessary! LIMSA Excel add-on for Quantitative Analysis of MS data (Haimi et al. .2006. Anal Chem. 78:8324-31) LIMSA does: Peak picking and fitting Peak overlap correction Peak assignment (database of >3000 lipids) Quantification with internal standards Batch analysis MS-imaging of Lipids by MALDI PI 38:4 Sulfatide 24:1 Hydroxy-Sulfatide 24:1 Analysis of Lipid Metabolism by MS Adds another, dynamic dimension to lipidomics Labeled lipids can be selectively detected! D9-PC D4-PE D4-PS D6-PI => +193 (Unlabeled PC => +184) => 145 (Unlabeled PE => 141) => 90 (Unlabeled PS => 87) => -247 (Unlabeled PI => -241) Precursors Water soluble precursors (D9-choline etc) Exogenous lipids Phospholipid Remodeling: Exchange of acyl PO4 Glycerol Fatty acid OH Alcohol Alcohol PO4 Glycerol Acyl transferase Fatty acid Fatty acid Fatty acid Glycerol PLA2 Fatty acid PO4 Alcohol chains Analysis of phospholipid remodeling using soluble precursor is problematic D4-ethanolamine => cells => D4-PE species 18:1/18:1 16:0/18:1 100 Kinetics 18:0/18:1 16:0/17:1 0h 16:0/16:1 50 1h 100 5h 100 24h Relative abundance (%) Relative intensity (%) 100 16:0/16:1 16:0/17:1 16:0/18:1 16:1/18:1 18:0/18:1 18:1/18:1 18:1/18:2 18:0/20:4 18:1/20:4 18:0/22:6 25 0 100 0 unlabeled 680 700 720 740 m/z 760 780 800 5 10 15 Chase time (h) 20 25 Our approach: Use intact exogenous phospholipids with a deuterium-labeled head-group PROTOCOL • Synthesize a phospholipid with a deuterium-labeled head group • Make vesicles containing the labeled phospholipid • Incubate cells with these vesicles and β-cyclodextrin (carrier) • Extract and analyze lipids using MS/MS scans showing the labeled (or unlabeled) lipid only • Determine the pathways and kinetics of remodeling Unnatural 14:0/14:0-PE is remodeled very rapidly 14:0/14:0-D4-PE KINETICS 100% 14:0/14:0 0h 100% 14:0/18:1 14:0/20:4 50 3h 18:0/18:1 Relative Intensity 16:0/14:0 14:1/14:1 16:0/14:1 18:0/14:1 18:1/14:1 16:0/18:1 14:1/20:4 18:0/18:1 18:1/18:1 18:0/20:4 18:1/20:4 100% 18:1/18:1 18:0/20:4 16:0/18:1 18:1/20:4 7h 25 100 24h 0 100% 0 Endogenous 700 750 m/z 800 850 5 10 15 20 25 ”Natural” 18:1/18:1-PE is hardly remodeled 18:1/18:1 100% 0h 100% Relative abundance 1h 100% 3h 100% 5h 100% 24 h 100% endogenous 700 750 800 Positional isomers are remodeled with very different kinetics 14:0/18:1 100% 18:1/14:0 14:0/18:1 100% 18:1/14:0 18:1/18:1 18:1/20:4 18:1/18:1 18:1/18:2 16:1/16:1 0h 0h 18:1/22:6 18:1/16:1 Relative abundance 100% 700 750 800 18:1/18:1 100% 700 750 800 3h 3h 18:1/18:2 100% 700 750 800 700 700 750 750 800 7h 100% 700 750 endogenous 700 800 7h 16:1/18:1 16:0/18:1 100% 100% 750 m/z 800 800 endogenous 700 750 m/z 800 Pathways of 14:0/14:0-PE remodeling 14:0/14:0 14:0/ 18:2 14:0/ 16:1 18:1 /18:2 18:1 /16:1 14:0/ 18:1 14:0/ 20:4 14:0/ 22:6 18:1 /20:4 18:1 /22:6 16:1 /18:2 16:0 /18:2 16:0 /18:1 16:1 /18:1 18:1 /18:1 18:0 /20:4 Kainu et al. (2008) J Biol Chem. 283:3676-87 Studies with >50 phospholipid species (and PLA inhibitors) indicate that => Multiple acyl chain specific PLAs are involved in remodeling of phospholipids in mammalian cells BUT which PLAs? ..and what determines their specificity? ..and which acyltransferases are involved? Conclusions MS-based lipidomics is highly usefull in – Biology – Medicine – Food industry ....but needs to be integrated with other “omics” and functional assays Heavy isotope –labeling adds an important extra dimension to lipidomics Contributors • Martin Hermansson • Ville Kainu • Perttu Haimi