1H NMR metabolomics study of metastatic melanoma in C57BL/6J mouse spleen
Abstract
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. As such, 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 (PCA), 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'-Deoxyguanosinemore »
- Authors:
-
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States); The Chinese Academy of Sciences, Wuhan (People's Republic of China)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- The Chinese Academy of Sciences, Wuhan (People's Republic of China)
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Environmental Molecular Sciences Laboratory (EMSL)
- Sponsoring Org.:
- National Institutes of Health (NIH), National Institute of Environmental Health Sciences (NIEHS); USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1176848
- Report Number(s):
- PNNL-SA-101943
Journal ID: ISSN 1573-3882; 47841; 400412000
- Grant/Contract Number:
- AC05-76RL01830; R01ES022176; NIH/R01EB013231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Metabolomics
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 6; Journal ID: ISSN 1573-3882
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; SPLEEN; MULTIVARIATE ANALYSIS; POLAR-CAP ABSORPTION; 1H NMR metabolomics; B16-F10 melanoma; spleen; metabolomics; multivariate analysis; OPLS; PCA; Environmental Molecular Sciences Laboratory
Citation Formats
Wang, Xuan, Hu, Mary Y., Feng, Ju, Liu, Maili, and Hu, Jian Z. 1H NMR metabolomics study of metastatic melanoma in C57BL/6J mouse spleen. United States: N. p., 2014.
Web. doi:10.1007/s11306-014-0652-z.
Wang, Xuan, Hu, Mary Y., Feng, Ju, Liu, Maili, & Hu, Jian Z. 1H NMR metabolomics study of metastatic melanoma in C57BL/6J mouse spleen. United States. https://doi.org/10.1007/s11306-014-0652-z
Wang, Xuan, Hu, Mary Y., Feng, Ju, Liu, Maili, and Hu, Jian Z. Thu .
"1H NMR metabolomics study of metastatic melanoma in C57BL/6J mouse spleen". United States. https://doi.org/10.1007/s11306-014-0652-z. https://www.osti.gov/servlets/purl/1176848.
@article{osti_1176848,
title = {1H NMR metabolomics study of metastatic melanoma in C57BL/6J mouse spleen},
author = {Wang, Xuan and Hu, Mary Y. and Feng, Ju and Liu, Maili and Hu, Jian Z.},
abstractNote = {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. As such, 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 (PCA), 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. Furthermore, these significantly changed metabolites are associated with multiple biological pathways and may be potential biomarkers for metastatic melanoma in spleen.},
doi = {10.1007/s11306-014-0652-z},
journal = {Metabolomics},
number = 6,
volume = 10,
place = {United States},
year = {Thu Apr 03 00:00:00 EDT 2014},
month = {Thu Apr 03 00:00:00 EDT 2014}
}
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