Enhanced sensitivity for high spatial resolution lipid analysis by negative ion mode matrix assisted laser desorption ionization imaging mass spectrometry

We have achieved enhanced lipid imaging to a ~10 μm spatial resolution using negative ion mode matrix assisted laser desorption ionization (MALDI) imaging mass spectrometry, sublimation of 2,5-dihydroxybenzoic acid as the MALDI matrix, and a sample preparation protocol that uses aqueous washes. We r...

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Vydáno v:Analytical chemistry (Washington) Ročník 84; číslo 3; s. 1557
Hlavní autoři: Angel, Peggi M, Spraggins, Jeffrey M, Baldwin, H Scott, Caprioli, Richard
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 07.02.2012
Témata:
Acetates - chemistry
Animals
Brain - metabolism
Formates - chemistry
Hydrogen-Ion Concentration
Ions - chemistry
Lipids - analysis
Mice
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
ISSN:1520-6882, 1520-6882
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Shrnutí:We have achieved enhanced lipid imaging to a ~10 μm spatial resolution using negative ion mode matrix assisted laser desorption ionization (MALDI) imaging mass spectrometry, sublimation of 2,5-dihydroxybenzoic acid as the MALDI matrix, and a sample preparation protocol that uses aqueous washes. We report on the effect of treating tissue sections by washing with volatile buffers at different pHs prior to negative ion mode lipid imaging. The results show that washing with ammonium formate, pH 6.4, or ammonium acetate, pH 6.7, significantly increases signal intensity and number of analytes recorded from adult mouse brain tissue sections. Major lipid species measured were glycerophosphoinositols, glycerophosphates, glycerolphosphoglycerols, glycerophosphoethanolamines, glycerophospho-serines, sulfatides, and gangliosides. Ion images from adult mouse brain sections that compare washed and unwashed sections are presented and show up to 5-fold increases in ion intensity for washed tissue. The sample preparation protocol has been found to be applicable across numerous organ types and significantly expands the number of lipid species detectable by imaging mass spectrometry at high spatial resolution.
Bibliografie:ObjectType-Article-1
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ISSN:1520-6882
1520-6882
DOI:10.1021/ac202383m