基于液相色谱-质谱联用技术的代谢组学方法在细胞种属分类中的应用

细胞内的代谢产物可以反映细胞的生理状态。为了考察基于胞内代谢物的指纹图谱对不同种属细胞进行区分的可行性,利用基于超高效液相色谱-高分辨飞行时间质谱(UPLC-TOF MS)技术的代谢组学方法对5种不同来源的细胞进行分类,获得了小分子代谢产物的差异表达谱,并采用主成分分析(PCA)数据处理方法对各类细胞进行模式识别。研究结果表明,不同的细胞种属之间均能呈现显著性差异。该研究可从分子水平对细胞种属进行分类,为细胞种属的鉴定与评价提供了一种新的技术方法,为细胞组学的深入研究提供了一种潜在的、非常具有应用前景的技术手段。

Classification of the cell lines in the extraction of intracellular metabolites based on ultra performance liquid chromatography-time of flight mass spectrometry

Intracellular metabolites can reflect the physiological state of cells. Ultra performance liquid chromatography/time of flight mass spectrometry (UPLC-TOF MS) is a relatively new technique for the separation of complex samples. The aim of this work is to assess the feasibility of metabonomics in cell line sorting. In the work, a total of 5 cell line samples were analyzed by using UPLC-TOF MS and small molecules metabolite profiles from the extraction of intracellular metabolites were obtained. Principal component analysis (PCA) models were used to extract meaningful information from the complex biological samples. The cell line discrimination was highly improved by PCA. These preliminary results suggested that UPLC/MS coupled with pattern recognition show promise for metabonomics. It is a potential and very promising technology for the classification of the cell lines.