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批量效应评估和纠正在质谱成像中的质量控制标准

Luojiao Huang¹, Yaejin Kim¹, Benjamin Balluff²

¹Cell Biology-Inspired Tissue Engineering, Institute for Technology-Inspired Regenerative Medicine, Maastricht University, 6229ER Maastricht, Netherlands.

Analytical chemistry

|May 12, 2025

概括

一个新的质量控制标准 (QCS) 和数据分析管道提高了矩阵辅助激光消耗/电离质谱成像 (MALDI-MSI) 的可重复性. 这种方法解决了技术变异,以提高数据质量和可靠的空间分子分析.

科学领域:

分析化学分析化学
生物技术是生物技术.
质谱仪成像成像质谱仪成像

背景情况:

矩阵辅助激光消耗/电离质谱成像 (MALDI-MSI) 能够进行空间分子分析,但在可重现性方面面临挑战.
样本准备和仪器性能方面的技术差异阻碍了MALDI-MSI的准确评估和数据质量.
需要一种标准化的质量控制和批量效应校正方法,以提高MALDI-MSI结果的可靠性.

研究的目的:

开发和验证一个新的质量控制标准 (QCS) MALDI-MSI.
引入一个数据分析管道,用于评估和纠正MALDI-MSI的技术变化.
使用MALDI-MSI提高空间分子分析的可复制性和数据质量.

主要方法:

设计了一种模仿组织的QCS,在凝基质中使用propranolol来模拟离子抑制.
进行了为期三天的批量实验,以评估QCS对纵向技术变化的敏感性.
应用了三种计算方法来对MALDI-MSI数据进行批量效应校正,包括主要组件分析 (PCA).

主要成果:

开发的QCS有效地模仿了组织样本中观察到的离子抑制.
质量控制系统表现出对纵向技术变化的敏感性,作为批量效应的有效指标.
批量效应校正显著降低了QCS变化,并在PCA中改善了样本聚类,提高了数据质量.

结论:

设计的QCS为MALDI-MSI中评估批量效应提供了可靠的工具.
数据分析管道有效地纠正技术差异,改善MALDI-MSI数据的可复制性.
这种综合方法为MALDI-MSI用户提供了一种可靠的质量控制方法和增强的数据分析.

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