Literature DB >> 19523925

A novel application of metabolomics in vertebrate development.

Shunsuke Hayashi1, Shinichi Akiyama, Yutaka Tamaru, Yasuaki Takeda, Toshinobu Fujiwara, Kunio Inoue, Akio Kobayashi, Shingo Maegawa, Eiichiro Fukusaki.   

Abstract

Many studies have demonstrated the functions of individual genes associated with embryogenesis and have determined the genome sequences of several organisms. Despite the availability of enormous amount of genetic information, dynamic changes that occur during embryogenesis have not yet been completely understood. In order to understand the dynamic processes involved in embryogenesis, we employed the metabolomic approach. The results of our study indicated that there is a close correlation between metabolomes and developmental stages. Our method enables the identification of embryonic stages using metabolomes as "fingerprints." In this manner, we could successfully predict embryonic development on the basis of metabolomic fingerprints. This is the first report describing a model for predicting vertebrate development by using metabolomics.

Mesh:

Year:  2009        PMID: 19523925     DOI: 10.1016/j.bbrc.2009.06.041

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  9 in total

1.  Application of Metabolomics for High Resolution Phenotype Analysis.

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

2.  13C-isotope-based protocol for prenyl lipid metabolic analysis in zebrafish embryos.

Authors:  Vera Mugoni; Claudio Medana; Massimo M Santoro
Journal:  Nat Protoc       Date:  2013-10-31       Impact factor: 13.491

3.  A metabolomics-based strategy for identification of gene targets for phenotype improvement and its application to 1-butanol tolerance in Saccharomyces cerevisiae.

Authors:  Shao Thing Teoh; Sastia Putri; Yukio Mukai; Takeshi Bamba; Eiichiro Fukusaki
Journal:  Biotechnol Biofuels       Date:  2015-09-15       Impact factor: 6.040

4.  Metabolome analysis of Drosophila melanogaster during embryogenesis.

Authors:  Phan Nguyen Thuy An; Masamitsu Yamaguchi; Takeshi Bamba; Eiichiro Fukusaki
Journal:  PLoS One       Date:  2014-08-14       Impact factor: 3.240

Review 5.  Fortune telling: metabolic markers of plant performance.

Authors:  Olivier Fernandez; Maria Urrutia; Stéphane Bernillon; Catherine Giauffret; François Tardieu; Jacques Le Gouis; Nicolas Langlade; Alain Charcosset; Annick Moing; Yves Gibon
Journal:  Metabolomics       Date:  2016-09-15       Impact factor: 4.290

6.  Metabolic profiling of zebrafish embryo development from blastula period to early larval stages.

Authors:  Sundeep S Dhillon; Frida Torell; Magdalena Donten; Katrin Lundstedt-Enkel; Kate Bennett; Stefan Rännar; Johan Trygg; Torbjörn Lundstedt
Journal:  PLoS One       Date:  2019-05-14       Impact factor: 3.240

7.  Metabolite profiles correlate closely with neurobehavioral function in experimental spinal cord injury in rats.

Authors:  Yusuke Fujieda; Shinya Ueno; Ryoko Ogino; Mariko Kuroda; Thomas J Jönsson; Lining Guo; Takeshi Bamba; Eiichiro Fukusaki
Journal:  PLoS One       Date:  2012-08-13       Impact factor: 3.240

Review 8.  Advances in genomics of bony fish.

Authors:  Herman P Spaink; Hans J Jansen; Ron P Dirks
Journal:  Brief Funct Genomics       Date:  2013-11-29       Impact factor: 4.241

9.  A novel lung alveolar cell model for exploring volatile biomarkers of particle-induced lung injury.

Authors:  Hsiao-Chi Chuang; Shih-Wei Tsai; Ruei-Hao Shie; Yi-Chia Lu; Sheng-Rong Song; Sheng-Hsiu Huang; Hsin-Yi Peng; Hsiao-Yu Yang
Journal:  Sci Rep       Date:  2020-09-24       Impact factor: 4.379

  9 in total

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