Lipid Analysis of 30 000 Individual Rodent Cerebellar Cells Using High-Resolution Mass Spectrometry

Single-cell measurements aid our understanding of chemically heterogeneous systems such as the brain. Lipids are one of the least studied chemical classes, and their cell-to-cell heterogeneity remains largely unexplored. We adapted microscopy-guided single-cell profiling using matrix-assisted laser...

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Bibliographic Details
Published in:Analytical chemistry (Washington) 2019-06, Vol.91 (12), p.7871-7878
Main Authors: Neumann, Elizabeth K, Ellis, Joanna F, Triplett, Amelia E, Rubakhin, Stanislav S, Sweedler, Jonathan V
Format: Article
Language:English
Subjects:
Brain
Cerebellum
Chemistry
Clustering
Cyclotron resonance
Heterogeneity
Ionization
Ions
Lipid composition
Lipids
Mass spectrometry
Mass spectroscopy
Microscopy
Organic chemistry
Scientific imaging
Spectroscopy
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Summary:Single-cell measurements aid our understanding of chemically heterogeneous systems such as the brain. Lipids are one of the least studied chemical classes, and their cell-to-cell heterogeneity remains largely unexplored. We adapted microscopy-guided single-cell profiling using matrix-assisted laser desorption/ionization ion cyclotron resonance mass spectrometry to profile the lipid composition of over 30 000 individual rat cerebellar cells. We detected 520 lipid features, many of which were found in subsets of cells; Louvain clustering identified 101 distinct groups that can be correlated to neuronal and astrocytic classifications and lipid classes. Overall, the two most common lipids found were [PC(32:0)+H]+ and [PC(34:1)+H]+, which were present within 98.9 and 89.5% of cells, respectively; lipid signals present in
ISSN:0003-2700
1520-6882
DOI:10.1021/acs.analchem.9b01689