Bonnel David, Stauber Jonathan
ImaBiotech, Parc Eurasanté, 885 Avenue Eugène Avinée, Loos, 59120, France.
Methods Mol Biol. 2017;1641:129-140. doi: 10.1007/978-1-4939-7172-5_6.
Mass spectrometry imaging (MSI) was first derived from techniques used in physics, which were then incorporated into chemistry followed by application in biology. Developed over 50 years ago, and with different principles to detect and map compounds on a sample surface, MSI supports modern biology questions by detecting biological compounds within tissue sections. MALDI (matrix-assisted laser desorption/ionization) imaging trend analysis in this field shows an important increase in the number of publications since 2005, especially with the development of the MALDI imaging technique and its applications in biomarker discovery and drug distribution. With recent improvements of statistical tools, absolute and relative quantification protocols, as well as quality and reproducibility evaluations, MALDI imaging has become one of the most reliable MSI techniques to support drug discovery and development phases. MSI allows to potentially address important questions in drug development such as "What is the localization of the drug and its metabolites in the tissues?", "What is the pharmacological effect of the drug in this particular region of interest?", or "Is the drug and its metabolites related to an atypical finding?" However, prior to addressing these questions using MSI techniques, expertise needs to be developed to become proficient at histological procedures (tissue preparation with frozen of fixed tissues), analytical chemistry, matrix application, instrumentation, informatics, and mathematics for data analysis and interpretation.
质谱成像(MSI)最初源自物理学中使用的技术,随后被引入化学领域,进而应用于生物学。MSI技术诞生于50多年前,基于不同原理来检测和绘制样品表面的化合物,通过检测组织切片中的生物化合物来支持现代生物学问题的研究。该领域的基质辅助激光解吸/电离(MALDI)成像趋势分析表明,自2005年以来,相关出版物的数量显著增加,特别是随着MALDI成像技术的发展及其在生物标志物发现和药物分布方面的应用。随着统计工具、绝对和相对定量方案以及质量和重现性评估的不断改进,MALDI成像已成为支持药物发现和开发阶段最可靠的MSI技术之一。MSI有可能解决药物开发中的重要问题,例如“药物及其代谢物在组织中的定位是什么?”、“药物在这个特定感兴趣区域的药理作用是什么?”或“药物及其代谢物与非典型发现有关吗?”然而,在使用MSI技术解决这些问题之前,需要培养专业技能,以便熟练掌握组织学程序(冷冻或固定组织的组织制备)、分析化学、基质应用、仪器操作、信息学以及用于数据分析和解释的数学知识。