Molecular and Chemical Life Science :
Genome Informatics


Visiting Professor IKEDA Kazutaka
Campus Kazusa DNA campus
Laboratory Omics and Imformatics
Tel +81-438-52-3947
E-mail kaikeda@kazusa.or.jp
Website http://www.kazusa.or.jp/laboratories/genome-dept/biomolecule-group/ http://www.kazusa.or.jp/en-laboratories/en-genome-dept/en-biomolecule-group/
2010 : 
・Doctor of Pharmacy, Graduate School of Pharmaceutical Sciences, Nagoya City University, Japan
・Assistant Professor, Department of Metabolome, Graduate School of Medicine, The University of Tokyo, Japan
2011 : Assistant Professor, Institute for Advanced Biosciences, Keio University, Japan
2016 : Deputy Team Leader, Laboratory for Metabolomics, RIKEN Center for Integrative Medical Sciences (IMS), Japan
2020-Present :
・Visiting professor, Graduate School of Life and Health Sciences, Chubu University, Japan
・Group leader, Laboratory of Biomolecule Analysis, Kazusa DNA Research Institute, Japan

Selected Publications
Selected Publications
  1. Comprehensive identification of sphingolipid species by in silico retention time and tandem mass spectral library. Ikeda K*., et al. (2017), J Cheminform., 9:19, doi: 10.1186/s13321-017-0205-3 *Equal contribution
  2. Mass-spectrometric analysis of phospholipids by target discovery approach. Ikeda K. (2015), Bioactive Lipid Mediators, Part Ⅳ 25, 349–356
  3. Triacylglycerol/phospholipid molecular species profiling of fatty livers and regenerated non-fatty livers in cystathionine beta-synthase-deficient mice, an animal model for homocysteinemia/homocystinuria. Ikeda K., et al. (2011), Anal. Bioanal. Chem., 400, 1853–1863
  4. Increase of oxidant-related triglycerides and phosphatidylcholines in serum and villi during development of intestinal polyp formation in Min mice. Ikeda K., et al. (2011), Cancer Sci., 102, 79–87
  5. Highly sensitive localization analysis of gangliosides and sulfatides including structural isomers in mouse cerebellum sections by combination of laser microdissection and hydrophilic interaction liquid chromatography/electrospray ionization-mass spectrometry with theoretically expanded multiple reaction monitoring. Ikeda K., et al. (2010), Rapid Commun. Mass Spectrom., 24, 2957–2965
  6. GM1/GD1b/GA1 synthase expression results in the reduced cancer phenotypes with modulation of composition and raft-localization of gangliosides in a melanoma cell line. Ikeda K*., et al. (2010), Cancer Sci., 101, 2039–2047 *Equal contribution
  7. Global analysis of triacylglycerols including oxidized molecular species by reverse-phase high resolution LC/ESI-QTOF MS/MS. Ikeda K., et al. (2009), J. Chromatogr. B., 877, 2639–2647
  8. Targeted analysis of ganglioside and sulfatide molecular species by LC/ESI-MS/MS with theoretically expanded multiple reaction monitoring. Ikeda K., et al. (2008), J. Lipid. Res., 49, 2678–2689
Activities in Academic Societies
・The Japanese Conference on the Biochemistry of Lipids
・The Mass Spectrometry Society of Japan
・Japanese Society for Biomedical Mass Spectrometry
・The American Society for Mass Spectrometry
Metabolomics, Lipidomics, Biochemistry

Recent Activities

The rapid development of genome science since the mid-1990s has enabled the decoding of whole genome sequences and accelerated the understanding of biological phenomena, whereas there remain many phenomena that are difficult to explain using genome science alone. Consequently, metabolomics and lipidomics, which captures the final phenotype of genomic information, has been attracting attention as a post-genomic science. 
We are working on the development of next-generation technologies for metabolomics and lipidomics, aiming at disease prevention and very early detection through the highly accurate and sensitive detection of important metabolic changes and the discovery of unknown molecules and new metabolic pathways.

Message to Students

The development of metabolomics and lipidomics technologies that can comprehensively capture in vivo metabolism is essential to focus on disease prevention in the super-aging society.
We are seeking students who will work together to construct next-generation measurement and information processing technologies that will accelerate personalized healthcare through stable, large-scale accumulation and integration of molecular-level information in vivo for improving QOL and extending healthy life spans.