[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.
Li
Hui
H
Key Laboratory of Chemical Biology of Guangdong Province, Graduate School of Shenzhen, Tsinghua University, Shenzhen, China.
Yu
Zhiguo
Z
Zu
Xuyu
X
Liu
Feng
F
Jin
Yibao
Y
Jiang
Yuyang
Y
Liu
Hongxia
H
D016475:3T3 Cells; D000818:Animals; D002460:Cell Line; D002469:Cell Separation / Q000379:methods*; D002477:Cells / Q000145:classification* / Q000378:metabolism; D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D006367:HeLa Cells; D056945:Hep G2 Cells; D006801:Humans; D007668:Kidney / Q000166:cytology / Q000196:embryology; D013058:Mass Spectrometry / Q000379:methods*; D055432:Metabolomics / Q000379:methods*; D051379:Mice; D025341:Principal Component Analysis