期刊
METABOLOMICS
卷 10, 期 6, 页码 1129-1144出版社
SPRINGER
DOI: 10.1007/s11306-014-0652-z
关键词
H-1 NMR metabolomics; B16-F10 melanoma; Spleen; Metabolomics; Multivariate analysis; OPLS; PCA
资金
- National Institute of Environmental Health Sciences of the National Institute of Health (NIH) [R01ES022176, NIH/R01EB013231]
- DOE's Office of Biological and Environmental Research
- DOE [DE-AC06-76RLO 1830]
Melanoma is a malignant tumor of melanocytes. Although extensive investigations have been done to study metabolic changes in primary melanoma in vivo and in vitro, little effort has been devoted to metabolic profiling of metastatic tumors in organs other than lymph nodes. In this work, NMR-based metabolomics combined with multivariate data analysis is used to study metastatic B16-F10 melanoma in C57BL/6J mouse spleen. Principal component analysis, an unsupervised multivariate data analysis method, is used to detect possible outliers, while orthogonal projection to latent structure (OPLS), a supervised multivariate data analysis method, is employed to find important metabolites responsible for discriminating the control and the melanoma groups. Two different strategies, i.e. spectral binning and spectral deconvolution, are used to reduce the original spectral data before statistical analysis. Spectral deconvolution is found to be superior for identifying a set of discriminatory metabolites between the control and the melanoma groups, especially when the sample size is small. OPLS results show that the melanoma group can be well separated from its control group. It is found that taurine, glutamate, aspartate, O-phosphoethanolamine, niacinamide, ATP, lipids and glycerol derivatives are decreased statistically and significantly while alanine, malate, xanthine, histamine, dCTP, GTP, thymidine, 2'-deoxyguanosine are statistically and significantly elevated. These significantly changed metabolites are associated with multiple biological pathways and may be potential biomarkers for metastatic melanoma in spleen.
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