Visiting Professor IKEDA Kazutaka
Campus | Kazusa DNA campus |
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Laboratory |
Omics and Imformatics
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Tel | +81-438-52-3947 |
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/ |
Career |
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 |
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Selected Publications |
Selected Publications
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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 |
Teaching |
Metabolomics, Lipidomics, Biochemistry
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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.
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.