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Metabolite profiling of chondrosarcoma cells: A robust GC-MS method for the analysis of endogenous metabolome.

Authors :
Zhu, Jinfeng
Zhang, Mengmeng
Guo, Jinxiu
Wu, Xueke
Wang, Shaomin
Zhou, Yubing
Liu, Hongmin
Source :
Journal of Chromatography B: Analytical Technologies in the Biomedical & Life Sciences. Apr2021, Vol. 1169, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• First metabolic profiling of chondrosarcoma SW-1353 cells. • Optimized pretreatment protocols for chondrosarcoma cell metabolite profiling. • Representative metabolites were quantitatively determined. • Simple, robust, and reproducible GC–MS method. • Helpful to further pathophysiology research of chondrosarcoma by metabolomics. Chondrosarcoma is the 2nd most frequent bone sarcoma. In this study, the metabolic profiling of human chondrosarcoma SW-1353 cell line was investigated for the first time. To obtain more precise information about the metabolites from chondrosarcoma cells, pretreatment methods including washing steps/solvents, harvesting conditions, and extraction protocols for chondrosarcoma SW-1353 cells were evaluated in the context of metabolite profiling by GC–MS technique. In addition, a total of 32 representative metabolites (related to amino acid metabolism, TCA cycle, glycolysis, and fatty acid metabolism) were quantitatively determined. We found that a fast water rinse step before metabolic quenching, may reduce the contaminants and improve sensitivity. Trypsin/ethylene diamine tetraacetic acid treatment led to a large amount of metabolite leakage, which was not suitable for metabolomics research. Methanol was selected as a more suitable extraction solvent among four extraction approaches applied to SW-1353 cells. The final protocol can provide a simple, robust, and reproducible method to obtain precise information about the metabolites from chondrosarcoma cells, which is helpful to further understand the chondrosarcoma cell physiology and the mechanism of drug resistance in this disease, from the perspective of metabolomics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15700232
Volume :
1169
Database :
Academic Search Index
Journal :
Journal of Chromatography B: Analytical Technologies in the Biomedical & Life Sciences
Publication Type :
Academic Journal
Accession number :
149369908
Full Text :
https://doi.org/10.1016/j.jchromb.2021.122606