Dong Jiyang, Peng Qianwen, Deng Lingli, Zhao Chao, Cai Zongwei
Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361005, China.
Department of Information Engineering, East China University of Technology, Nanchang 33000, China.
STAR Protoc. 2023 Mar 13;4(2):102159. doi: 10.1016/j.xpro.2023.102159.
Biomolecule regulation and communication between cells and organs show specific network and regional features and play an important role in disease progression. Here, we describe steps for in situ detection of biomolecules with detailed spatial distribution using imaging mass spectrometry (iMS). Using the information on inter-cells and inter-organs metabolic interactions provided by iMS, we detail the establishment of an iMS-dataset-sourced multiscale network strategy and present steps for exploring metabolic responses in environmental-exposure-induced disease model. For complete details on the use and execution of this protocol, please refer to Dong et al. (2022)..
生物分子在细胞和器官之间的调节与通讯呈现出特定的网络和区域特征，并在疾病进展中发挥重要作用。在此，我们描述了使用成像质谱（iMS）原位检测具有详细空间分布的生物分子的步骤。利用iMS提供的细胞间和器官间代谢相互作用信息，我们详细阐述了一种源自iMS数据集的多尺度网络策略的建立，并展示了在环境暴露诱导的疾病模型中探索代谢反应的步骤。有关本方案使用和执行的完整详细信息，请参阅Dong等人（2022年）的文章。
