LA-ICP-MS and MALDI-MS image registration for correlating nanomaterial biodistributions and their biochemical effects
LA-ICP-MS and MALDI-MS image registration for correlating nanomaterial biodistributions and their biochemical effects
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DOI：
10.1039/d1an01783g
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发表时间：
2021-11-17
期刊：
影响因子：
4.2
通讯作者：
Vachet，Richard W.
中科院分区：
文献类型：
--
作者：
Castellanos-Garcia，Laura J.;Sikora，Kristen N.;Vachet，Richard W.
激光消融电感耦合等离子体质谱(LA-ICPMS)成像和基质辅助激光解吸电离质谱仪成像(MALDI-MSI)是测量组织切片中元素和生物分子分布的互补方法。这两种成像模式提供的信息的定量相关性要求数据集在相同的坐标系中配准，从而允许逐个像素的比较。我们在这里描述了一个用Python语言编写的计算工作流程，它完成了这种配准，即使是对于相邻的组织切片，精度在±50μm以内。这个配准过程的价值通过关联注射了金纳米材料药物输送系统的小鼠的组织切片图像来展示。LA-ICPMS成像检测到的纳米材料输送载体与MALDI-MSI检测到的生化变化之间的定量相关性，为纳米材料输送系统如何影响组织中的脂质生物化学提供了更深入的了解。此外，配准过程允许利用与LA-ICPMS成像相关的更精确的图像来实现改进的MALDI-MS图像分割，从而识别与组织中不同亚器官区域最相关的脂质。
Laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) imaging and matrix assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) are complementary methods that measure distributions of elements and biomolecules in tissue sections. Quantitative correlations of the information provided by these two imaging modalities requires that the datasets be registered in the same coordinate system, allowing for pixel-by-pixel comparisons. We describe here a computational workflow written in Python that accomplishes this registration, even for adjacent tissue sections, with accuracies within ±50 μm. The value of this registration process is demonstrated by correlating images of tissue sections from mice injected with gold nanomaterial drug delivery systems. Quantitative correlations of the nanomaterial delivery vehicle, as detected by LA-ICP-MS imaging, with biochemical changes, as detected by MALDI-MSI, provide deeper insight into how nanomaterial delivery systems influence lipid biochemistry in tissues. Moreover, the registration process allows the more precise images associated with LA-ICP-MS imaging to be leveraged to achieve improved segmentation in MALDI-MS images, resulting in the identification of lipids that are most associated with different sub-organ regions in tissues.