多模态空间代谢与中红外显微镜引导的质谱成像成像多模态空间代谢
Minqian Wei1, Haining Wang2, Yirong Zeng2
1Institutes of Biomedical Sciences, Fudan University; Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital; mqwei23@m.fudan.edu.cn.
Journal of visualized experiments : JoVE
|August 11, 2025
概括
这项研究引入了多模态空间代谢学的新工作流程,将单个组织部分的中红外 (MIR) 成像和质谱成像 (MSI) 整合在一起. 这种方法增强了对生物系统中代谢异质性的理解.
科学领域:
- 生物化学 生化学
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 空间代谢学绘制了代谢物分布图,以了解生物异质性.
- 中红外 (MIR) 成像和质谱成像 (MSI) 是空间代谢学的关键技术.
- 整合这些技术为更深入的见解提供了互补的优势.
研究的目的:
- 在同一组织部位上进行MIR成像和矩阵辅助激光吸附离子化MSI (MALDI-MSI) 的工作流程.
- 通过共同注册和整合来自两种成像模式的数据来实现多模态空间代谢.
- 利用先进的生物信息学工具进行全面的数据分析.
主要方法:
- 非破坏性MIR成像首先用于生物化学分析.
- 随后,MALDI-MSI以MIR空间数据为指导进行了测试.
- 共同注册和整合MIR和MALDI-MSI图像的数据.
- 使用像Seurat这样的工具进行生物信息学分析,用于多模式数据解释.
主要成果:
- 一个验证的工作流程,用于对相同的组织段进行连续MIR成像和MALDI-MSI.
- 两种模式数据的成功联合注册和整合.
- 展示对代谢过程的增强空间和化学洞察力.
结论:
- 整合MIR成像和MSI是空间代谢学的一个变革性的进步.
- 这种多模式的方法为研究健康和疾病中的代谢复杂性提供了前所未有的机会.
- 生物标志物发现,诊断和治疗开发的巨大潜力.
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