使用液相色谱-质谱联用技术绘制髓母细胞瘤细胞代谢组学和脂质组学图谱的方案。
Protocol for mapping the metabolome and lipidome of medulloblastoma cells using liquid chromatography-mass spectrometry.
机构信息
Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College St, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada.
Department of Surgery, McMaster University, 1280 Main St W, Hamilton, ON L8S 4L8, Canada; Department of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main St W, Hamilton, ON L8S 4L8, Canada; Center for Discovery in Cancer Research (CDCR), McMaster University, 1280 Main St W, Hamilton, ON L8S 4L8, Canada.
出版信息
STAR Protoc. 2023 Dec 15;4(4):102736. doi: 10.1016/j.xpro.2023.102736. Epub 2023 Nov 24.
Liquid chromatography-mass spectrometry (LC-MS)-based metabolomics and lipidomics have recently been used to show that MYC-amplified group 3 medulloblastoma tumors are driven by metabolic reprogramming. Here, we present a protocol to extract metabolites and lipids from human medulloblastoma brain tumor-initiating cells and normal neural stem cells. We describe untargeted LC-MS methods that can be used to achieve extensive coverage of the polar metabolome and lipidome. Finally, we detail strategies for metabolite identification and data analysis. For complete details on the use and execution of this protocol, please refer to Gwynne et al..
基于液相色谱-质谱联用（LC-MS）的代谢组学和脂质组学最近被用于表明，MYC 扩增的 3 组髓母细胞瘤肿瘤是由代谢重编程驱动的。在这里，我们提出了一种从人髓母细胞瘤起始细胞和正常神经干细胞中提取代谢物和脂质的方案。我们描述了非靶向 LC-MS 方法，可用于广泛覆盖极性代谢组和脂质组。最后，我们详细介绍了代谢物鉴定和数据分析的策略。如需使用和执行本方案的完整详细信息，请参阅 Gwynne 等人的研究。
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