MetaboNews September: Masanori Arita

Dr. Masanori Arita is among the initial members of the Metabolomics Society, which in 2005 organized the first Metabolomics Society conference in Tsuruoka City, Japan. He started working with RIKEN in 2007, and is currently Team Leader at Center for Sustainable Resource Science (CSRS). His research focus is metabolomics and bioinformatics, especially on data infrastructure and management. Some of his major products are well-known among the metabolomics researchers include Metabolomics.JP, MassBank, and MetaboBank

“Because of the MassBank and Tsuruoka initiative, Japan has been a leading country in this field, I believe. We are relatively weak in human analyses but Japan is strong in plants. I have an appointment at RIKEN CSRS led by Kazuki Saito, and CSRS is contributing much to this society mainly from plant metabolomics. One big achievement is the development of MS-DIAL, whose main developer is Hiroshi Tsugawa. This software platform is strong in lipidomics, and I hope many more people will use this software.

In TMIC, we also offer a range of recommended software tools and data resources that greatly enhance the utilization of their data repositories. These software resources play a crucial role in metabolomics research, providing valuable functionalities and insights for scientists in this field.


MetaboAnalyst is a versatile and powerful software platform designed to assist researchers in metabolomics data analysis. It offers an array of tools for data preprocessing, statistical analysis, and data visualization. Researchers can rely on MetaboAnalyst to uncover meaningful patterns and trends within their metabolomic datasets, facilitating informed decision-making and hypothesis generation.


MagMet is a specialized software tool tailored for magnetic resonance spectroscopy (MRS) data analysis. It empowers researchers to extract detailed metabolic information from MRS data, aiding in the identification and quantification of metabolites. This software is indispensable for studies involving the non-invasive measurement of metabolite concentrations in various biological samples.


ChemFOnt serves as a valuable resource for researchers in metabolomics, offering a comprehensive library of chemical structures and compound information. It simplifies the process of identifying and characterizing metabolites, enabling scientists to annotate their experimental results with precision and confidence.

HMDB (Human Metabolome Database)

HMDB is a renowned and extensively curated database that provides a wealth of information on human metabolites. Researchers can rely on HMDB to access detailed data on metabolite structures, properties, and biological roles. This resource is invaluable for the annotation and interpretation of metabolomic data in the context of human biology.

MiMeDB (Microbial Metabolome Database) 

MIMEDB is a specialized database that focuses on the interactions between microbes and metabolites. It offers a unique perspective on the role of microbiota in metabolomics research. Researchers can explore the intricate relationships between microbial communities and metabolites, advancing our understanding of the microbiome’s impact on human health and disease.

Incorporating these recommended software tools into metabolomics research workflows, in conjunction with TMIC’s data repositories, empowers scientists to extract deeper insights, make data-driven decisions, and contribute to the advancement of knowledge in the field of metabolomics. These resources collectively enhance the accuracy, efficiency, and comprehensiveness of metabolomics investigations, fostering meaningful discoveries and breakthroughs.

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