Localization of sterols and oxysterols in mouse brain reveals distinct spatial cholesterol metabolism

YUTUC, Eylan, ANGELINI, Roberto, BAUMERT, Mark, MAST, Natalia, PIKULEVA, Irina, NEWTON, Jillian, CLENCH, Malcolm, SKIBINSKI, David O.F., HOWELL, Owain W., WANG, Yuqin and GRIFFITHS, William J. (2020). Localization of sterols and oxysterols in mouse brain reveals distinct spatial cholesterol metabolism. Proceedings of the National Academy of Sciences, p. 201917421.

Clench_Localization_Of_Sterols(VoR).pdf - Published Version
Creative Commons Attribution.

Download (2MB) | Preview
Official URL: https://www.pnas.org/content/early/2020/03/03/1917...
Link to published version:: https://doi.org/10.1073/pnas.1917421117


Dysregulated cholesterol metabolism is implicated in a number of neurological disorders. Many sterols, including cholesterol and its precursors and metabolites, are biologically active and important for proper brain function. However, spatial cholesterol metabolism in brain and the resulting sterol distributions are poorly defined. To better understand cholesterol metabolism in situ across the complex functional regions of brain, we have developed on-tissue enzyme-assisted derivatization in combination with microliquid extraction for surface analysis and liquid chromatography-mass spectrometry to locate sterols in tissue slices (10 µm) of mouse brain. The method provides sterolomic analysis at 400-µm spot diameter with a limit of quantification of 0.01 ng/mm2. It overcomes the limitations of previous mass spectrometry imaging techniques in analysis of low-abundance and difficult-to-ionize sterol molecules, allowing isomer differentiation and structure identification. Here we demonstrate the spatial distribution and quantification of multiple sterols involved in cholesterol metabolic pathways in wild-type and cholesterol 24S-hydroxylase knockout mouse brain. The technology described provides a powerful tool for future studies of spatial cholesterol metabolism in healthy and diseased tissues.

Item Type: Article
Identification Number: https://doi.org/10.1073/pnas.1917421117
Page Range: p. 201917421
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 09 Mar 2020 16:51
Last Modified: 18 Mar 2021 02:33
URI: https://shura.shu.ac.uk/id/eprint/25950

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics