质谱成像
质谱法
药物发现
药物开发
亚型
系统药理学
计算机科学
广告
数据科学
药理学
药品
计算生物学
生物信息学
医学
化学
色谱法
生物
程序设计语言
作者
Presha Rajbhandari,Taruna V. Neelakantan,Noreen Hosny,Brent R. Stockwell
标识
DOI:10.1016/j.tips.2023.11.003
摘要
The emerging and powerful field of spatial pharmacology can map the spatial distribution of drugs and their metabolites, as well as their effects on endogenous biomolecules including metabolites, lipids, proteins, peptides, and glycans, without the need for labeling. This is enabled by mass spectrometry imaging (MSI) that provides previously inaccessible information in diverse phases of drug discovery and development. We provide a perspective on how MSI technologies and computational tools can be implemented to reveal quantitative spatial drug pharmacokinetics and toxicology, tissue subtyping, and associated biomarkers. We also highlight the emerging potential of comprehensive spatial pharmacology through integration of multimodal MSI data with other spatial technologies. Finally, we describe how to overcome challenges including improving reproducibility and compound annotation to generate robust conclusions that will improve drug discovery and development processes.
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