Instrumental Analysis and Bioanalysis, Department of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.
Anal Bioanal Chem. 2012 Nov;404(8):2277-86. doi: 10.1007/s00216-012-6357-0. Epub 2012 Sep 6.
Intact cell mass spectrometry biotyping, a collection of methods for classification of cells based on mass spectrometric fingerprints, is an established method in clinical and environmental microbiology. It has recently also been applied to the investigation of mammalian cells including primary blood cells and cultured cells. However, few automated procedures suitable for higher throughput and little analytical standardization of mammalian biotyping approaches have been reported so far. Here, we present a novel automated method that robustly classifies as few as 250 cells per spot. Automatically acquired cell fingerprints from cultured and primary cells show high technical (R > 0.95) and biological reproducibility (R = 0.83-0.96), with a median peak variance below 12 %. Ion suppression is shown to be a major concern at higher cell numbers and needs to be carefully monitored. We demonstrate that intact cell mass spectrometric signatures of different cell lines start to resemble each other at higher trifluoroacetic acid (TFA) concentrations and that therefore low concentrations of TFA in the matrix solution are preferred. We show that in vitro differentiation of HL-60 cells into a neutrophil-like phenotype can be rapidly and robustly monitored. We utilize the method for global analysis of person-to-person differences in mass spectral signatures of intact polymorphonuclear neutrophils and monocytes obtained from healthy volunteers. Our data suggest that automated MALDI mass spectrometry cell biotyping could be a useful complementary approach in clinical cell analysis.
完整细胞质谱生物分型是一种基于质指纹图谱对细胞进行分类的方法,已在临床和环境微生物学中得到广泛应用。最近,它也被应用于哺乳动物细胞的研究,包括原代血细胞和培养细胞。然而,目前报道的适用于高通量的自动化程序和用于哺乳动物生物分型方法的分析标准化很少。在这里,我们提出了一种新的自动化方法,该方法可以对每个斑点进行多达 250 个细胞的稳健分类。从培养细胞和原代细胞自动获取的细胞指纹图谱具有很高的技术(R > 0.95)和生物学重现性(R = 0.83-0.96),中位数峰方差低于 12%。结果表明,在更高的细胞数量下,离子抑制是一个主要问题,需要仔细监测。我们证明,不同细胞系的完整细胞质谱特征在更高的三氟乙酸(TFA)浓度下开始相互相似,因此优选基质溶液中的低 TFA 浓度。我们表明,HL-60 细胞体外分化为中性粒细胞样表型可以快速而稳健地监测。我们利用该方法对来自健康志愿者的完整多形核粒细胞和单核细胞的质谱特征的个体间差异进行了全面分析。我们的数据表明,自动化 MALDI 质谱细胞生物分型可能是临床细胞分析的一种有用的补充方法。