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采用 GC-TOFMS 分析贴壁 MDCK 细胞中的代谢物,以及一种新策略,用于鉴定细胞内代谢标志物,用作数据归一化中的细胞数量指标。

GC-TOFMS analysis of metabolites in adherent MDCK cells and a novel strategy for identifying intracellular metabolic markers for use as cell amount indicators in data normalization.

机构信息

Laboratory of Metabolomics, China Pharmaceutical University, Nanjing, China.

出版信息

Anal Bioanal Chem. 2011 Jul;400(9):2983-93. doi: 10.1007/s00216-011-4981-8. Epub 2011 May 2.

Abstract

Cultured cell lines are useful models in biomedical research that characterize metabolic responses to various stimuli (e.g., pathogens, toxins, or drugs/chemicals) and explore the underlying mechanisms. However, data from cell metabolomic studies must be normalized to the amount of cells, which is dependent on diverse treatments. The currently used methods of cell counting and protein assay involve extra work and delay the quenching of intracellular metabolism. To develop a convenient, alternative approach, in this study, intracellular metabolites were extracted from a series amount of cultured adherent cells and profiled by gas chromatography-time-of-flight mass spectrometry (GC-TOFMS). The GC-TOFMS signal intensities for 11 intracellular markers present in two different cell lines showed good linearity with the protein content, with inositol and pantothenate most promising (correlation coefficient > 0.970). Despite the various amounts of cells, the data normalized to the metabolic markers and protein amounts showed similar effectiveness, resulted in better separation of the two cell lines, closer clustering within each group(cell line) on a principal components analysis scores plot, and had lower relative standard deviations for intracellular metabolites than those of the non-normalized data, suggesting that these markers were effective indicators of cell amounts and independent of cell lines.

摘要

细胞培养物系是生物医学研究中的有用模型,可用于描述对各种刺激(例如病原体、毒素或药物/化学物质)的代谢反应,并探索潜在的机制。然而,细胞代谢组学研究的数据必须根据细胞数量进行归一化,而细胞数量取决于各种处理。目前使用的细胞计数和蛋白质测定方法涉及额外的工作,并延迟了细胞内代谢的猝灭。为了开发一种方便的替代方法,在这项研究中,从一系列数量的贴壁培养细胞中提取细胞内代谢物,并通过气相色谱-飞行时间质谱(GC-TOFMS)进行分析。两种不同细胞系中 11 种细胞内标志物的 GC-TOFMS 信号强度与蛋白质含量呈良好的线性关系,其中肌醇和泛酸最有前途(相关系数>0.970)。尽管细胞数量不同,但归一化到代谢标志物和蛋白质含量的数据显示出相似的有效性,导致两种细胞系的分离更好,在主成分分析得分图上每个细胞系(细胞系)内的聚类更接近,并且细胞内代谢物的相对标准偏差低于非归一化数据,表明这些标志物是细胞数量的有效指标,与细胞系无关。

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