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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

机译:GC-TOFMS分析粘附的MDCK细胞中的代谢物,并提出一种新的策略来鉴定细胞内代谢标记物,以用作数据归一化中的细胞量指标

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摘要

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.
机译:培养的细胞系是生物医学研究中有用的模型,可表征对各种刺激(例如病原体,毒素或药物/化学物质)的代谢反应并探索其潜在机制。但是,细胞代谢组学研究的数据必须根据细胞数量进行标准化,这取决于不同的治疗方法。当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细胞内代谢的淬灭。为了开发一种方便的替代方法,在这项研究中,从一系列培养的贴壁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。存在于两种不同细胞系中的11种细胞内标志物的GC-TOFMS信号强度与蛋白质含量显示出良好的线性关系,其中肌醇和泛酸最有前景(相关系数> 0.970)。尽管细胞数量不同,但根据代谢标记物和蛋白质量归一化的数据显示出相似的效果,导致两个细胞系更好地分离,在主成分分析得分图上的每个组(细胞系)内的聚类更紧密,并且具有与非标准化数据相比,细胞内代谢物的相对标准偏差更低,表明这些标记物是细胞数量的有效指标,并且与细胞系无关。

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