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单细胞多原子MALDI-MSI 通过亲和阵列捕获脂质和N-甘氨酸的分析

James W Dressman¹, Muhammed F Bayram¹, Peggi M Angel¹

¹Medical University of South Carolina, Department of Pharmacology and Immunology, Basic Science Building Room 310, 173 Ashley Avenue, Charleston, South Carolina 29425, United States.

Analytical chemistry

|June 11, 2025

概括

这项研究引入了一种新方法,用于快速单细胞分析,使用矩阵辅助激光吸附/电离质谱成像 (MALDI-MSI). 这种方法可以从单个细胞中获取多原子数据,从而推进细胞群体研究.

科学领域:

生物技术是生物技术.
分析化学分析化学
细胞生物学细胞生物学

背景情况:

矩阵辅助激光消耗/电离质谱成像 (MALDI-MSI) 在实现真正的单细胞分辨率方面面临着挑战.
从相邻细胞区分信号和计算解卷是当前MALDI-MSI单细胞分析中的重大障碍.

研究的目的:

为MALDI-MSI开发一种新的,有针对性的单细胞捕获和采样方法.
为了能够从单个细胞中快速获取多原子数据.
使用人工智能自动化单细胞选择和分析.

主要方法:

采用微接触式打印,用于有针对性的单细胞捕获和阵列形成.
开发了一个基于人工智能的应用程序SoloCell,用于自动选择捕获的单细胞.
应用MALDI-MSI用于从同一被捕获细胞中快速脂和N-甘氨酸分析.

主要成果:

在网格格式中成功捕获了数千个单个细胞.
从单个细胞中以每秒6个细胞的速度实现了脂质和N-甘氨酸的快速分析.
展示了一种用于从同一单细胞中获取多原子数据的新方法.

结论:

开发的方法克服了MALDI-MSI单细胞分析的先前局限性.
这项技术为解开细胞群复杂性提供了前所未有的工具.
结合了单细胞捕获,人工智能自动化和成像质谱学,以获得先进的生物学见解.

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