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Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS): A New Tool for the Analysis of Toxicological Effects on Single Cell Level

机译:飞行时间二次离子质谱仪(ToF-SIMS):一种用于分析单细胞水平毒理学影响的新工具

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摘要

Single cell imaging mass spectrometry opens up a complete new perspective for strategies in toxicological risk assessment and drug discovery. In particular, time-of-flight secondary ion mass spectrometry (ToF-SIMS) with its high spatial and depth resolution is becoming part of the imaging mass spectrometry toolbox used for single cell analysis. Recent instrumentation advancements in combination with newly developed cluster ion guns allow 3-dimensional reconstruction of single cells together with a spatially resolved compound location and quantification on nanoscale depth level. The exact location and quantification of a single compound or even of a set of compounds is no longer restricted to the two dimensional space within single cells, but is available for voxels, a cube-sized 3-dimensional space, rather than pixels. The information gathered from one voxel is further analysed using multivariate statistical methodology like maximum autocorrelation factors to co-locate the compounds of interest within intracellular organelles like nucleus, mitochondria or golgi apparatus. Furthermore, the cell membrane may be resolved, including adhering compounds and potential changes of the lipid patterns. The generated information can be used further for a first evaluation of intracellular target specifity of new drug candidates or for the toxicological risk assessment of environmental chemicals and their intracellular metabolites. Additionally, single cell lipidomics and metabolomics enable for the first time an in-depth understanding of the activation or inhibition of cellular biosynthesis and signalling pathways.
机译:单细胞成像质谱为毒理学风险评估和药物发现策略开辟了一个全新的视角。特别是,具有高空间和深度分辨率的飞行时间二次离子质谱(ToF-SIMS)成为用于单细胞分析的成像质谱工具箱的一部分。与新开发的簇离子枪相结合,仪器的最新进展允许对单个单元进行3维重建,并在纳米级深度水平上进行空间分辨的化合物定位和定量分析。单个化合物甚至一组化合物的确切位置和定量不再局限于单个单元格内的二维空间,而是可用于体素(立方大小的3维空间)而不是像素。从一个体素收集的信息将使用多变量统计方法(例如最大自相关因子)进行进一步分析,以将目标化合物共定位在细胞内细胞器(如核,线粒体或高尔基体)中。此外,细胞膜可以被分解,包括粘附的化合物和脂质模式的潜在变化。所产生的信息可进一步用于新药物候选物的细胞内靶标特异性的首次评估或环境化学物质及其细胞内代谢物的毒理学风险评估。另外,单细胞脂质组学和代谢组学首次使对细胞生物合成和信号传导途径的激活或抑制的深入了解成为可能。

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