研究者詳細 - 冨田　勝

著書 - 冨田　勝

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脱優等生のススメ

冨田勝 , 早川書房, 2023年

みんなで考えるAIとバイオテクノロジーの未来社会

冨田勝, かんき出版, 2022年

Advances in Systems Immunology and Cancer

Tomita, M., Selvarajoo, K. and Tsuchiya, M., Frontiers , 2014年

E-Cell System : Basic Concepts and Applications

Satya Nanda Vel ArjunanPawan K. DharMasaru Tomita, Springer, 2013年

Metabolomics: A new omics technology for traditional herbal medicine analysis

Iino K., Sugimoto M., Soga T., Tomita M., Chinese Medicine: Acupuncture, Herbal Medicine and Therapies, 2012年03月

Identification of a small number of bioactive components in herbal medicines is often inadequate for elucidating biological effects and for quality control because of the complexity of the components. Qualitative and quantitative analyses of all the components in herbal medicines will therefore be of considerable value. Metabolomics is a new branch of "omics" science concerned with understanding the all the metabolites in living systems. Recent advances in the development of analytical technologies in metabolomics have made a considerable contribution to various studies of herbal medicines. In particular, mass spectrometry (MS) combined with separation systems have enabled us to simul-taneously obtain datasets for dozens or hundreds of molecules. MS-based non-targeted profiling techniques provide plentiful information about known bioactive components as well as all observable components. Here, we provide an overview of the metabolomic analysis of herbal medicines. Prospects for further research based on our primary results are also discussed. © 2012 Nova Science Publishers, Inc.

Metabolomics: A new paradigm for cancer biomarker discovery

Sugimoto M., Soga T., Tomita M., Cancer Biomarkers, 2011年12月

Currently, individual molecular biomarkersare often used to detect cancers. However, to identify cancer-specific signatures appropriate for clinical use, a paradigm shift is necessary in terms of using multiple molecular profiling techniques to identify new prognostic biomarkers and therapeutic targets, and to understand the aberrant biochemical pathways. Metabolomics, a new omics, provides a holistic view of the cellular dynamic behavior derived from various endogenetic and exogenetic perturbations as well as genomics, transcriptomics and proteomics. To simultaneously assess a broad range of metabolites, we have developed profiling techniques based on capillary electrophoresis-mass spectrometry (CE-MS) that can quantify charged molecules,principally those involved in the central metabolic pathways; i.e., glycolysis, pentose phosphate pathway, amino acid pathway, nucleotide pathway, tricarboxylic cycle, and urea cycle. Because tumors exhibit unique cellular metabolic profiles to survive or to enable excessive proliferation in an aberrant microenvironment, CE-MS can offera significant opportunity to fully understand cancer metabolism. Here, we provide an overview of CE-MS-based metabolomics and two applications; 1) pathway-level metabolic variation to provide novel insights into the microenvironmentof human tumor tissues, and 2) the potential use of salivary metabolites in cancer detection. © 2011 Nova Science Publishers, Inc. All rights reserved.

Salivary metabolomics for oral cancer detection

Sugimoto M., Wong D., Soga T., Tomita M., Oral Cancer: Causes, Diagnosis and Treatment, 2011年04月

Saliva is an informative biofluid that can be used to monitor a wide range of oral and systemic diseases. This medium has gained much attention as a diagnostic fluid because of its simple collection, non-invasiveness, and low cost. Many studies have been conducted to identify diagnostic markers in saliva for several diseases, including HIV, diabetes, viral hepatitis and, importantly, cancers. The recently developed comprehensive molecular profiling approaches, such as transcriptomics and proteomics, can accelerate these studies. Metabolomics, profiling of all intracellular metabolites, has become a powerful new omics tool that can provide insight into cellular functions and facilitate biomarker discovery. Although there are several approaches to profiling metabolites, capillary electrophoresis time-of-flight-mass spectrometry (CE-TOFMS) has a prominent advantage because it enables comprehensive, simultaneous and quantitative analysis of key metabolites in various pathways, such as glycolysis, pentose phosphate pathway, tricarboxylic acid cycle and urea cycle, as well as amino acid and nucleotide metabolism. Thus, this method is well-suited to biomarker discovery in cancer cells because there are diverse metabolic aberrations related to energy metabolism and cellular proliferation in cancer cells. We recently applied CE-TOFMS-based metabolomic analysis to evaluate the potential of using the salivary metabolomic signature to detect oral cancer (oral squamous cell carcinoma cancers). The metabolic fingerprints embedded in the salivary specimens showed a prominent difference between oral cancer and healthy controls. Here, we introduce the marriage of CE and TOFMS, which has the potential to provide a state-of-the art salivary-based detection method for oral cancer. © 2011 by Nova Science Publishers, Inc. All rights reserved.

Multi-omics data-driven systems biology of E. coli

Ishii N., Tomita M., Systems Biology and Biotechnology of Escherichia coli, 2009年12月

The omics, which means comprehensive analysis of a specific layer in a cellular system, are emerging as essential methodological approaches for molecular biology and systems biology. However, single omics analysis does not always provide enough information to understand the behaviors of a cellular system. Therefore, a combination of multiple omics analyses, the multi-omics approach, is required to acquire a precise picture of living organisms. In this chapter, basic concepts of omics studies, and recent technologies in the omics of metabolism and published multi-omics analyses of Escherichia coli, are reviewed. Subsequently, a large-scale multi-omics analysis of E. coli K-12, including transcriptomics, proteomics, metabolomics and fluxomics, is presented. This study uncovered the complementary strategies of E. coli that result in a metabolic network robust against various types of perturbations, therefore demonstrating the power of a multi-omics, data-driven approach for understanding the functional principles of total cellular systems. © 2009 Springer Netherlands.

In silico models for metabolic systems

Selvarajoo K., Vel Arjunan S.N., Tomita M., The Metabolic Pathway Engineering Handbook: Tools and Applications, 2009年01月

最新医学　臨床遺伝子学’07－ゲノム科学の臨床へのインパクト―

曽我朋義，大橋由明，冨田勝, 最新医学社, 2007年

担当範囲: 56-63,

Metabolomics-A Powerful Tool in Systems Biology-(vol.18)

Martin, R., Soga, T. and Tomita, M., Springer, 2007年

担当範囲: 189-234

バイオインフォマティクス事典

櫻田剛史，冨田勝, 共立出版, 2006年

担当範囲: 706-707

Metabolomics: The frontier of systems biology

Tomita M，Nishioka T, Springer, 2005年

Metabolism is the sum of the chemical reactions in cells that produce life-sustaining chemical energy and metabolites. In the post-genome era, metabolism has taken on new significance for biological scientists: metabolites are the chemical basis of phenotypes that are final expressions of genomic information. This book covers research on metabolomics, ranging from the development of specialized chemical analytical techniques to the construction of databases and methods for metabolic simulation. The authors have been directly involved in the development of all the subject areas, including capillary electrophoresis, liquid chromatography, mass spectrometry, metabolic databases, and metabolic simulation. Breakthrough achievements and the future of metabolome studies are described, making this book a valuable source for researchers in metabolomics in diverse fields, such as plant, animal, cellular, microbial, pharmaceutical, medical, and genetic sciences.

ここまで進んだゲノム医科学と疾患研究

大岸治行、曽我朋義、冨田勝, 羊土社, 2005年

バイオインフォマティクスの基礎 : ゲノム解析プログラミングを中心に

斎藤輪太郎, 冨田勝, サイエンス社, 2005年

ゲノムミクス・プロテオミクスの新展開

柚木克之、冨田勝, 株式会社エヌ・ティー・エス, 2004年

担当範囲: 920-929

メタボローム研究の最前線

冨田勝，西岡孝明編, シュプリンガー・フェアラーク東京, 2003年11月

好きな仕事発見　完全ガイド7

冨田勝, 学習研究所, 2003年

生命科学への招待-生命機能の科学と工学の最前線

菊地進一、冨田勝, 2003年

担当範囲: 188-197

Complex Systems Science in Biomedicine

Pawan Dhar， Masaru Tomita, 2003年

担当範囲: 265-280

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