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Article: GC/TOFMS analysis of endogenous metabolites in mouse fibroblast cells and its application in TiO 2 nanoparticle-induced cytotoxicity study

TitleGC/TOFMS analysis of endogenous metabolites in mouse fibroblast cells and its application in TiO <inf>2</inf> nanoparticle-induced cytotoxicity study
Authors
KeywordsGas chromatography/time-of-flight mass spectrometry
Metabolomics
Mouse fibroblast cell
TiO nanoparticle 2
Issue Date2012
Citation
Chromatographia, 2012, v. 75, n. 21-22, p. 1301-1310 How to Cite?
AbstractIn this paper, we present an optimized procedure for metabolomic analysis of endogenous metabolites in mouse fibroblast (L929) cell line using gas chromatography/time-of-flight mass spectrometry with multivariate statistics. The optimization of metabolite extraction was performed using three solvents: methanol, water, and chloroform, and then followed by methoxymation and silylation. This method was subsequently validated using 29 reference standards and cell line samples. The intra- and inter-day relative standard deviations (RSDs) of the standard compounds were lower than 15.0 and 25.0 %, respectively. As for most of the tested metabolites in cell line samples, RSDs were below 20.0 % for reproducibility and stability, respectively. We applied this approach in metabolomic study of L929 cells obtained from TiO 2 nanoparticle-induced cytotoxicity model samples (n = 5) and control samples (n = 5). Metabolite markers associated with TiO 2 nanoparticle-induced cytotoxicity were identified and validated by statistical methods and reference standards. Our work highlights the potential of this method for cell metabolomic study. © 2012 Springer-Verlag.
Persistent Identifierhttp://hdl.handle.net/10722/342430
ISSN
2023 Impact Factor: 1.2
2023 SCImago Journal Rankings: 0.301
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, Yumin-
dc.contributor.authorCheng, Yu-
dc.contributor.authorChen, Tianlu-
dc.contributor.authorZhang, Yinan-
dc.contributor.authorWang, Xiaoyan-
dc.contributor.authorZhao, Aihua-
dc.contributor.authorJia, Wei-
dc.contributor.authorBo, Yang-
dc.contributor.authorJin, Chengyu-
dc.date.accessioned2024-04-17T07:03:46Z-
dc.date.available2024-04-17T07:03:46Z-
dc.date.issued2012-
dc.identifier.citationChromatographia, 2012, v. 75, n. 21-22, p. 1301-1310-
dc.identifier.issn0009-5893-
dc.identifier.urihttp://hdl.handle.net/10722/342430-
dc.description.abstractIn this paper, we present an optimized procedure for metabolomic analysis of endogenous metabolites in mouse fibroblast (L929) cell line using gas chromatography/time-of-flight mass spectrometry with multivariate statistics. The optimization of metabolite extraction was performed using three solvents: methanol, water, and chloroform, and then followed by methoxymation and silylation. This method was subsequently validated using 29 reference standards and cell line samples. The intra- and inter-day relative standard deviations (RSDs) of the standard compounds were lower than 15.0 and 25.0 %, respectively. As for most of the tested metabolites in cell line samples, RSDs were below 20.0 % for reproducibility and stability, respectively. We applied this approach in metabolomic study of L929 cells obtained from TiO 2 nanoparticle-induced cytotoxicity model samples (n = 5) and control samples (n = 5). Metabolite markers associated with TiO 2 nanoparticle-induced cytotoxicity were identified and validated by statistical methods and reference standards. Our work highlights the potential of this method for cell metabolomic study. © 2012 Springer-Verlag.-
dc.languageeng-
dc.relation.ispartofChromatographia-
dc.subjectGas chromatography/time-of-flight mass spectrometry-
dc.subjectMetabolomics-
dc.subjectMouse fibroblast cell-
dc.subjectTiO nanoparticle 2-
dc.titleGC/TOFMS analysis of endogenous metabolites in mouse fibroblast cells and its application in TiO <inf>2</inf> nanoparticle-induced cytotoxicity study-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s10337-012-2315-4-
dc.identifier.scopuseid_2-s2.0-84867973490-
dc.identifier.volume75-
dc.identifier.issue21-22-
dc.identifier.spage1301-
dc.identifier.epage1310-
dc.identifier.eissn1612-1112-
dc.identifier.isiWOS:000310073400009-

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