Advanced search×

Visualizing spatial lipid distribution in porcine lens by MALDI imaging high-resolution mass spectrometry.

J Lipid Res 51(8):2295-302 (2010) PMID 20388918 PMCID PMC2903793

The intraocular lens contains high levels of both cholesterol and sphingolipids, which are believed to be functionally important for normal lens physiology. The aim of this study was to explore the spatial distribution of sphingolipids in the ocular lens using mass spectrometry imaging (MSI). Matrix-assisted laser desorption/ionization (MALDI) imaging with ultra high resolution Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) was used to visualize the lipid spatial distribution. Equatorially-cryosectioned, 12 microm thick slices of tissue were thaw-mounted to an indium-tin oxide (ITO) glass slide by soft-landing to an ethanol layer. This procedure maintained the tissue integrity. After the automated MALDI matrix deposition, the entire lens section was examined by MALDI MSI in a 150 microm raster. We obtained spatial- and concentration-dependent distributions of seven lens sphingomyelins (SM) and two ceramide-1-phosphates (CerP), which are important lipid second messengers. Glycosylated sphingolipids or sphingolipid breakdown products were not observed. Owing to ultra high resolution MS, all lipids were identified with high confidence, and distinct distribution patterns for each of them are presented. The distribution patterns of SMs provide an understanding of the physiological functioning of these lipids in clear lenses and offer a novel pathophysiological means for understanding diseases of the lens.

DOI: 10.1194/jlr.M005488
Version: za2963e q8zab q8zb3 q8zcd q8zd5 q8ze6 q8zf0 q8zg0

Similar articles you may find interesting…

  1. A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation

    arXiv:1305.5306 [cs.CV] 23 May 2013

    We show how to successfully apply and Extend this model to the context of visual scene modeling. Specifically, we Propose SupDocNADE, a supervised extension of DocNADE, that increases the Discriminative power of the hidden topic features by incorporating label Information into the training objective...
  2. Parallelizing Gaussian Process Calculations in R

    arXiv:1305.4886 [stat.CO] 21 May 2013

    We consider parallel computation for Gaussian process calculations to Overcome computational and memory constraints on the size of datasets that can Be analyzed. Using a hybrid parallelization approach that uses both threading (shared memory) and message-passing (distributed memory), we implement th...
  3. Constraining the Galactic millisecond pulsar population using Fermi Large Area Telescope

    arXiv:1305.1584 [astro-ph.GA] 7 May 2013

    We Aim to infer the properties of the Galactic population of gamma-ray emitting MSPs from the samples detected by the Fermi-LAT. We developed a Monte Carlo Model to predict the spatial and gamma-ray luminosity distribution of the Galactic MSP population. Based on the estimated detection sensitivity...