Wolfson Molecular Imaging Centre, Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, M20 3LJ, UK.
Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Stopford Building, Manchester, M13 9PT, UK.
Sci Rep. 2020 Oct 5;10(1):16512. doi: 10.1038/s41598-020-73518-x.
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.
解吸电喷雾电离质谱(DESI-MS)可以在 2D 组织切片中成像数百种分子,使其成为绘制肿瘤异质性的理想工具。在过去的十年中,肿瘤脂质代谢受到了越来越多的关注;在这里,使用 3D-DESI-MS 成像技术在神经胶质瘤异种移植肿瘤中可视化了脂质异质性。自动载玻片加载器的使用实现了 3D 成像的自动化,以实现高通量样本。神经胶质瘤是高度侵袭性的原发性脑肿瘤,表现出异质性特征,对化疗和放疗具有抗性。因此,了解导致其异质性的生化贡献对于治疗抵抗非常重要。与用于 DESI-MS 成像的相邻切片一起使用 H&E 染色和免疫荧光来识别不同的组织学区域和缺氧区域。将 DESI-MS 成像与生物染色进行比较,使不同的脂质种类与肿瘤内的缺氧和存活组织相关联,从而在 3D 空间中绘制分子上不同的肿瘤区域。这项工作强调了脂质在异种移植肿瘤模型的异质性中起着重要作用,并且 DESI-MS 成像可以以自动化方式用于脂质 3D 成像,以揭示单独 H&E 染色不明显的异质性。