Literature DB >> 16889377

In vivo 15N-enrichment of metabolites in suspension cultured cells and its application to metabolomics.

Kazuo Harada1, Eiichiro Fukusaki, Takeshi Bamba, Fumihiko Sato, Akio Kobayashi.   

Abstract

The incorporation of stable isotopes in suspension cultured cells is very simple and useful as a preliminary experimental method in the experimental scene of plant metabolomics to elucidate the metabolic profiles of mutants and transformants. Stable isotope methods would afford a dynamic explanation of turnover speed that would concern the metabolic flux. Utilization of suspension cultured cells allows genes to be easily induced or suppressed, culture conditions to be controlled, and samples to be easily prepared. Stable isotope tracing allows an index of metabolic flux to be obtained. Here we present an experiment feeding (15)N-labeled inorganic salts to Arabidopsis (cell line T87) and Coptis cultured cells. Results of a comparison of (15)N labeling ratios of amino acids derived from T87 cells cultured under light with those cultured in the dark corresponded to transcriptional expressions revealed by microarray experiments published previously, demonstrating the validity of this procedure. Furthermore, (15)N labeling ratios of Coptis cultured cells revealed arginine and lysine metabolism inhibition, which should result in inhibition of polyamine biosynthesis and cell division. This very simple experiment allowed us to uncover metabolic dynamic features of the plant cell. Therefore this method is very useful for forming working hypotheses and experimental design.

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Year:  2006        PMID: 16889377     DOI: 10.1021/bp060139z

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  8 in total

1.  Application of Metabolomics for High Resolution Phenotype Analysis.

Authors:  Eiichiro Fukusaki
Journal:  Mass Spectrom (Tokyo)       Date:  2015-01-07

2.  Increased Dynamics of Tricarboxylic Acid Cycle and Glutamate Synthesis in Obese Adipose Tissue: IN VIVO METABOLIC TURNOVER ANALYSIS.

Authors:  Hirofumi Nagao; Hitoshi Nishizawa; Takeshi Bamba; Yasumune Nakayama; Noriyoshi Isozumi; Shushi Nagamori; Yoshikatsu Kanai; Yoshimitsu Tanaka; Shunbun Kita; Shiro Fukuda; Tohru Funahashi; Norikazu Maeda; Eiichiro Fukusaki; Iichiro Shimomura
Journal:  J Biol Chem       Date:  2017-01-24       Impact factor: 5.157

3.  The metabolic response of heterotrophic Arabidopsis cells to oxidative stress.

Authors:  Charles J Baxter; Henning Redestig; Nicolas Schauer; Dirk Repsilber; Kiran R Patil; Jens Nielsen; Joachim Selbig; Junli Liu; Alisdair R Fernie; Lee J Sweetlove
Journal:  Plant Physiol       Date:  2006-11-22       Impact factor: 8.340

4.  Novel strategy for non-targeted isotope-assisted metabolomics by means of metabolic turnover and multivariate analysis.

Authors:  Yasumune Nakayama; Yoshihiro Tamada; Hiroshi Tsugawa; Takeshi Bamba; Eiichiro Fukusaki
Journal:  Metabolites       Date:  2014-08-25

5.  Metabolome searcher: a high throughput tool for metabolite identification and metabolic pathway mapping directly from mass spectrometry and using genome restriction.

Authors:  A Ranjitha Dhanasekaran; Jon L Pearson; Balasubramanian Ganesan; Bart C Weimer
Journal:  BMC Bioinformatics       Date:  2015-02-25       Impact factor: 3.169

Review 6.  Bioinformatics: the next frontier of metabolomics.

Authors:  Caroline H Johnson; Julijana Ivanisevic; H Paul Benton; Gary Siuzdak
Journal:  Anal Chem       Date:  2014-11-20       Impact factor: 6.986

7.  Pathway-specific metabolome analysis with 18O2-labeled Medicago truncatula via a mass spectrometry-based approach.

Authors:  Kota Kera; Dennis D Fine; Daniel J Wherritt; Yoshiki Nagashima; Norimoto Shimada; Takeshi Ara; Yoshiyuki Ogata; Lloyd W Sumner; Hideyuki Suzuki
Journal:  Metabolomics       Date:  2018-05-11       Impact factor: 4.290

Review 8.  Proteomics, metabolomics, and protein interactomics in the characterization of the molecular features of major depressive disorder.

Authors:  Daniel Martins-de-Souza
Journal:  Dialogues Clin Neurosci       Date:  2014-03       Impact factor: 5.986

  8 in total

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