Cahill John F, Kertesz Vilmos
Mass Spectrometry and Laser Spectroscopy Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
Front Plant Sci. 2018 Aug 20;9:1211. doi: 10.3389/fpls.2018.01211. eCollection 2018.
Current analytical methods are not capable of providing rapid, sensitive, and comprehensive chemical analysis of a wide range of cellular constitutes of single cells (e.g., lipids, metabolites, proteins, etc.) from dispersed cell suspensions and thin tissues. This capability is important for a number of critical applications, including discovery of cellular mechanisms for coping with chemical or environmental stress and cellular response to drug treatment, to name a few. Here we introduce an optically guided platform and methodology for rapid, automated recognition, sampling, and chemical analysis of surface confined individual cells utilizing a novel hybrid laser capture microdissection/liquid vortex capture/mass spectrometry system. The system enabled automated analysis of single cells by reliably detecting and sampling them either through laser ablation from a glass microscope slide or by cutting the entire cell out of a poly(ethylene naphthalate)-coated membrane substrate that the cellular sample is deposited on. Proof of principle experiments were performed using thin tissues of and cultured and cell suspensions as model systems for single cell analysis using the developed method. Reliable, hands-off laser ablation sampling coupled to liquid vortex capture/mass spectrometry analysis was conducted for hundreds of individual cells in connected tissue. In addition, more than 300 individual and cells were analyzed automatically and sampled using laser microdissection sampling with the same liquid vortex capture/mass spectrometry analysis system. Principal component analysis-linear discriminant analysis, applied to each mass spectral dataset, was used to determine the accuracy of differentiation of the different algae cell lines.
当前的分析方法无法对来自分散细胞悬液和薄组织的单个细胞的多种细胞成分(例如脂质、代谢物、蛋白质等)进行快速、灵敏且全面的化学分析。这种能力对于许多关键应用至关重要,包括发现细胞应对化学或环境应激的机制以及细胞对药物治疗的反应等。在此,我们介绍一种光学引导平台和方法,用于利用新型混合激光捕获显微切割/液体涡旋捕获/质谱系统对表面受限的单个细胞进行快速、自动的识别、采样和化学分析。该系统通过从玻璃显微镜载玻片上进行激光烧蚀或从细胞样品所沉积的聚(萘二甲酸乙二醇酯)涂层膜基板上切下整个细胞来可靠地检测和采样,从而实现对单个细胞的自动分析。使用薄组织以及培养的细胞悬液作为模型系统,采用所开发的方法进行单细胞分析的原理验证实验。对连接组织中的数百个单个细胞进行了可靠的、无需人工干预的激光烧蚀采样,并与液体涡旋捕获/质谱分析相结合。此外,使用相同的液体涡旋捕获/质谱分析系统,通过激光显微切割采样对300多个单个细胞和细胞进行了自动分析和采样。将主成分分析 - 线性判别分析应用于每个质谱数据集,以确定不同藻类细胞系分化的准确性。