Literature DB >> 27506717

Amino Acid Metabolomics Using LC-MS/MS: Assessment of Cancer-Cell Resistance in a Simulated Tumor Microenvironment.

Ryoko Tomita1, Kenichiro Todoroki, Hiroshi Maruoka, Hideyuki Yoshida, Toshihiro Fujioka, Manabu Nakashima, Masatoshi Yamaguchi, Hitoshi Nohta.   

Abstract

We performed a comprehensive quantification of 20 amino acids in RPMI 1640 medium-cultured human colorectal adenocarcinoma cells to evaluate the efficacy of 5-fluorouracil treatment under hypoxic and hypoglycemic conditions, which mimic the tumor microenvironment. In this study, we developed a simple and comprehensive analytical method by using LC-MS/MS connected to the Intrada amino acid column, which eluted amino acids within 9 min. The present method covered a linearity range of 3.6 - 1818 μM, except for Gly (227 - 1818 μM), Ala, Asp, His (7.1 - 1818 μM each), and Trp (3.6 - 909 μM). The limits of detection were in the range of 0.02 - 38.0 pmol per injection in a standard solution. Amino acid concentration data were analyzed using principal-component analysis to represent samples on two-dimensional graphs. Linear discriminant analysis was used to classify samples on the score plots. Using this approach, the effect of 5-fluorouracil treatment could be successfully discriminated at high discrimination rates. Moreover, several amino acids were extracted from corresponding loading plots as candidate markers for distinguishing the effects of the 5-fluorouracil treatment or tumor microenvironmental conditions. These results suggest that our proposed method might be a useful tool for evaluating the efficacy of anticancer drugs in the tumor microenvironment.

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Year:  2016        PMID: 27506717     DOI: 10.2116/analsci.32.893

Source DB:  PubMed          Journal:  Anal Sci        ISSN: 0910-6340            Impact factor:   2.081


  4 in total

1.  A reliable LC-MS/MS method for the quantification of natural amino acids in mouse plasma: Method validation and application to a study on amino acid dynamics during hepatocellular carcinoma progression.

Authors:  Zhenzhen Liu; Mei-Juan Tu; Chao Zhang; Joseph L Jilek; Qian-Yu Zhang; Ai-Ming Yu
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2019-06-02       Impact factor: 3.205

2.  Suppressed Methionine γ-Lyase Expression Causes Hyperaccumulation of S-Methylmethionine in Soybean Seeds.

Authors:  Takuya Teshima; Naohiro Yamada; Yuko Yokota; Takashi Sayama; Kenji Inagaki; Takao Koeduka; Masayoshi Uefune; Masao Ishimoto; Kenji Matsui
Journal:  Plant Physiol       Date:  2020-04-28       Impact factor: 8.340

3.  Inter-Laboratory Comparison of Metabolite Measurements for Metabolomics Data Integration.

Authors:  Yoshihiro Izumi; Fumio Matsuda; Akiyoshi Hirayama; Kazutaka Ikeda; Yoshihiro Kita; Kanta Horie; Daisuke Saigusa; Kosuke Saito; Yuji Sawada; Hiroki Nakanishi; Nobuyuki Okahashi; Masatomo Takahashi; Motonao Nakao; Kosuke Hata; Yutaro Hoshi; Motohiko Morihara; Kazuhiro Tanabe; Takeshi Bamba; Yoshiya Oda
Journal:  Metabolites       Date:  2019-10-31

4.  Gadolinium-Based Paramagnetic Relaxation Enhancement Agent Enhances Sensitivity for NUS Multidimensional NMR-Based Metabolomics.

Authors:  Chandrashekhar Honrao; Nathalie Teissier; Bo Zhang; Robert Powers; Elizabeth M O'Day
Journal:  Molecules       Date:  2021-08-24       Impact factor: 4.411

  4 in total

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