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

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 visual...

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Autores principales: Henderson, Fiona, Jones, Emrys, Denbigh, Joanna, Christie, Lidan, Chapman, Richard, Hoyes, Emmy, Claude, Emmanuelle, Williams, Kaye J., Roncaroli, Federico, McMahon, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536442/
https://www.ncbi.nlm.nih.gov/pubmed/33020565
http://dx.doi.org/10.1038/s41598-020-73518-x
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author Henderson, Fiona
Jones, Emrys
Denbigh, Joanna
Christie, Lidan
Chapman, Richard
Hoyes, Emmy
Claude, Emmanuelle
Williams, Kaye J.
Roncaroli, Federico
McMahon, Adam
author_facet Henderson, Fiona
Jones, Emrys
Denbigh, Joanna
Christie, Lidan
Chapman, Richard
Hoyes, Emmy
Claude, Emmanuelle
Williams, Kaye J.
Roncaroli, Federico
McMahon, Adam
author_sort Henderson, Fiona
collection PubMed
description 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.
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spelling pubmed-75364422020-10-07 3D DESI-MS lipid imaging in a xenograft model of glioblastoma: a proof of principle Henderson, Fiona Jones, Emrys Denbigh, Joanna Christie, Lidan Chapman, Richard Hoyes, Emmy Claude, Emmanuelle Williams, Kaye J. Roncaroli, Federico McMahon, Adam Sci Rep Article 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. Nature Publishing Group UK 2020-10-05 /pmc/articles/PMC7536442/ /pubmed/33020565 http://dx.doi.org/10.1038/s41598-020-73518-x Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Henderson, Fiona
Jones, Emrys
Denbigh, Joanna
Christie, Lidan
Chapman, Richard
Hoyes, Emmy
Claude, Emmanuelle
Williams, Kaye J.
Roncaroli, Federico
McMahon, Adam
3D DESI-MS lipid imaging in a xenograft model of glioblastoma: a proof of principle
title 3D DESI-MS lipid imaging in a xenograft model of glioblastoma: a proof of principle
title_full 3D DESI-MS lipid imaging in a xenograft model of glioblastoma: a proof of principle
title_fullStr 3D DESI-MS lipid imaging in a xenograft model of glioblastoma: a proof of principle
title_full_unstemmed 3D DESI-MS lipid imaging in a xenograft model of glioblastoma: a proof of principle
title_short 3D DESI-MS lipid imaging in a xenograft model of glioblastoma: a proof of principle
title_sort 3d desi-ms lipid imaging in a xenograft model of glioblastoma: a proof of principle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536442/
https://www.ncbi.nlm.nih.gov/pubmed/33020565
http://dx.doi.org/10.1038/s41598-020-73518-x
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