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基质辅助激光解吸电离-质谱成像技术(MALDI-MSI)及其在脑神经性疾病研究中的应用

金涛 潘本松 聂洪港

金涛,潘本松,聂洪港. 基质辅助激光解吸电离-质谱成像技术(MALDI-MSI)及其在脑神经性疾病研究中的应用[J]. 计量科学与技术,2022, 66(3): 3-22 doi: 10.12338/j.issn.2096-9015.2022.0030
引用本文: 金涛,潘本松,聂洪港. 基质辅助激光解吸电离-质谱成像技术(MALDI-MSI)及其在脑神经性疾病研究中的应用[J]. 计量科学与技术,2022, 66(3): 3-22 doi: 10.12338/j.issn.2096-9015.2022.0030
JIN Tao, PAN Bensong, NIE Honggang. Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging and its Application in the Study of Brain Neurological Disease[J]. Metrology Science and Technology, 2022, 66(3): 3-22. doi: 10.12338/j.issn.2096-9015.2022.0030
Citation: JIN Tao, PAN Bensong, NIE Honggang. Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging and its Application in the Study of Brain Neurological Disease[J]. Metrology Science and Technology, 2022, 66(3): 3-22. doi: 10.12338/j.issn.2096-9015.2022.0030

基质辅助激光解吸电离-质谱成像技术(MALDI-MSI)及其在脑神经性疾病研究中的应用

doi: 10.12338/j.issn.2096-9015.2022.0030
详细信息
    作者简介:

    金涛:金 涛(1970-),黑龙江大学教授,研究方向:生物制药学和微生物学,邮箱:taotao604@qq.com

    通讯作者:

    金涛(1970-),黑龙江大学教授,研究方向:生物制药学和微生物学,邮箱:taotao604@qq.com

    聂洪港(1980-),北京大学高级工程师,研究方向:质谱成像等,邮箱:hgnie@pku.edu.cn

Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging and its Application in the Study of Brain Neurological Disease

  • 摘要: 大脑是人体内结构最精细、功能最复杂的高级器官,其化学物质种类众多、功能多样、作用机制复杂。研究证明,脑中枢神经系统疾病的病变脑组织都涉及到一些神经分子的改变。但由于分析检测手段、样品制备、成像技术等原因,对脑神经组织进行成分分析、功能鉴定、空间分布等研究一直是个难点。随着质谱技术的发展和成像软件的发展,一种新分析检测方法,质谱成像技术(Mass Spectrometry Imaging ,MSI)应运而生。该技术把高灵敏度的质谱和提供检测物空间信息的成像软件相结合,是一种具有高灵敏、没有特异性标记且可同时监测多种目标分子空间分布和含量变化的成像技术,为绘制脑神经组织中分子的空间分布和含量变化提供了新的选择。其中,基质辅助激光解吸电离-质谱成像技术(Matrix-Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging,MALDI-MSI)在蛋白质、脂质、药物和小分子物质检测上的优势显著,广泛应用于生物组织的成像研究,尤其是脑神经组织。目前,随着一些MSI定量分析方法和校正策略的出现,定量质谱成像技术(q-MSI)越来越成熟,不仅可用于可视化生物组织中各种分子的含量及原位分布信息,还可提供浓度的绝对分析,具有广阔的应用前景。本文旨在简要介绍MALDI-MSI的基本原理、操作流程、样品处理、基质选择与喷涂、数据采集与分析,质谱成像的定性、定量分析方法,并对该技术在常见脑神经疾病(如帕金森病、阿尔茨海默病、多发硬化症、脑损伤和缺血性脑卒中等)中的应用进展进行综述,有助于了解脑中枢神经功能、疾病形成机制和神经药物的代谢机理,有利于发现新的药物靶点以及生物标志物,为研究其治疗策略的潜在机制提供参考,并对未来发展方向进行了展望。
  • 图  1  MALDI-MSI成像[2]

    Figure  1.  MALDI-MSI imaging[2]

    表  1  MALDI-IMS的商业软件/开放软件包

    Table  1.   Commercial software / open software package of MALDI-IMS

    软件特点及功能References
    QUIMBI商业软件,预处理工具ProViM,MSI数据的可视化和多元分析处理相结合[63]
    MALDIVision商业软件imzML格式,二维和三维IMS数据可视化、对比分析、图像校正(光学图像到IMS数据)[64]
    Quantinetix商业软件,IMS数据可视化、定量分析[65]
    Cardinal商业软件,R软件包,IMS数据可视化,光谱数据预处理,PCA,PLS-DA,分类,空间分割[66]
    SCiLS Lab商业软件,二维和三维IMS数据可视化、对比分析、分类建模、带注释的空间分割[67]
    MALDIQuantR软件包,IMS数据可视化,光谱数据预处理,定量分析[68]
    massPixR软件包,数据可视化,假定脂质注释,分类,主成分分析,k-均值聚类[69]
    MirionMS图像数据的可视化与自动处理[70]
    msIQuant免费软件,IMS数据的定性和定量分析、光谱预处理、校准、超大数据集分析(>50GB)[71]
    MSiReader免费软件,MATLAB工具,读取各种IMS数据文件格式,IMS数据可视化,光谱预处理[72]
    OpenMSI免费软件,基于Web的IMS数据可视化、定性分析和管理工具[73]
    rMSI免费软件,R软件包,用于IMS数据可视化、定性分析[74]
    SpectralAnalysis免费软件,MATLAB工具,IMS数据的可视化、定性分析,光谱预处理,PCA,NMF,MAF,PLSA[75]
    SpectViewer免费软件,IMS数据可视化,协助数据解释、分类、图像校正和叠加[76]
    MassImager免费软件,人工智能病理诊断、多离子可视化、多通道叠加、图像归一化,有监督或无监督的多元统计自动识别生物标记物[77]
    下载: 导出CSV
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