3D DESI-MS lipid imaging in a xenograft model of glioblastoma : a proof of principle

Henderson, F; Jones, E; Denbigh, JL; Christie, L; Chapman, R; Hoyes, E; Claude, E; Williams, KJ; Roncaroli, F; McMahon, A

Abstract

Desorption electrospray ionisation mass spectrometry (DESI-MS) can image hundreds of molecules in a 2D tissue section, making it an ideal tool for mapping tumour heterogeneity. Tumour lipid metabolism has gained increasing attention over the past decade; and here, lipid heterogeneity has been visualised in a glioblastoma xenograft tumour using 3D DESI-MS imaging. The use of an automatic slide loader automates 3D imaging for high sample-throughput. Glioblastomas are highly aggressive primary brain tumours, which display heterogeneous characteristics and are resistant to chemotherapy and radiotherapy. It is therefore important to understand biochemical contributions to their heterogeneity, which may be contributing to treatment resistance. Adjacent sections to those used for DESI-MS imaging were used for H&E staining and immunofluorescence to identify different histological regions, and areas of hypoxia. Comparing DESI-MS imaging with biological staining allowed association of different lipid species with hypoxic and viable tissue within the tumour, and hence mapping of molecularly different tumour regions in 3D space. This work highlights that lipids are playing an important role in the heterogeneity of this xenograft tumour model, and DESI-MS imaging can be used for lipid 3D imaging in an automated fashion to reveal heterogeneity, which is not apparent in H&E stains alone.

• Journal Article Type: Article
• Acceptance Date: Sep 15, 2020
• Online Publication Date: Oct 5, 2020
• Publication Date: Oct 5, 2020
• Deposit Date: Oct 6, 2020
• Publicly Available Date: Oct 6, 2020
• Journal: Scientific Reports
• Print ISSN: 2045-2322
• Publisher: Nature Publishing Group
• Volume: 10
• Pages: 16512
• DOI: https://doi.org/10.1038/s41598-020-73518-x
• Publisher URL: https://doi.org/10.1038/s41598-020-73518-x
• Related Public URLs: https://www.nature.com/srep
• Additional Information: Additional Information : ** From Springer Nature via Jisc Publications Router ** Licence for this article: https://creativecommons.org/licenses/by/4.0/ **Journal IDs: eissn 2045-2322 **Article IDs: publisher-id: s41598-020-73518-x; manuscript: 73518 **History: collection 12-2020; online 05-10-2020; published_online 05-10-2020; registration 18-09-2020; accepted 15-09-2020; submitted 06-07-2020; Funders : CRUK & EPSRC Cancer Imaging Centre in Cambridge & Manchester;CRUK and EPSRC Cancer Imaging Centre in Cambridge and Manchester; Projects : Cancer Imaging Centre in Cambridge and Manchester;C8742; Grant Number: C197/A16465; Grant Number: C8742/A18097