Tomoyoshi Soga

Summary

Affiliation: Keio University
Country: Japan

Publications

  1. Yamamoto Y, Nakanishi Y, Murakami S, Aw W, Tsukimi T, Nozu R, et al. A Metabolomic-Based Evaluation of the Role of Commensal Microbiota throughout the Gastrointestinal Tract in Mice. Microorganisms. 2018;6: pubmed publisher
    ..Collectively, commensal microbiota partially affects the gastrointestinal luminal metabolite composition based on their metabolic dynamics, in cooperation with host digestion and absorption. ..
  2. Kuranaga Y, Sugito N, Shinohara H, Tsujino T, Taniguchi K, Komura K, et al. SRSF3, a Splicer of the PKM Gene, Regulates Cell Growth and Maintenance of Cancer-Specific Energy Metabolism in Colon Cancer Cells. Int J Mol Sci. 2018;19: pubmed publisher
    ..These findings altogether indicated that SRSF3 as a PKM splicer played a positive role in cancer-specific energy metabolism. ..
  3. request reprint
    Soga T, Baran R, Suematsu M, Ueno Y, Ikeda S, Sakurakawa T, et al. Differential metabolomics reveals ophthalmic acid as an oxidative stress biomarker indicating hepatic glutathione consumption. J Biol Chem. 2006;281:16768-76 pubmed
    ..Our method can thus pinpoint specific metabolite changes and provide insights into the perturbation of metabolic pathways on a large scale and serve as a powerful new tool for discovering low molecular weight biomarkers. ..
  4. Hirayama A, Igarashi K, Tomita M, Soga T. Development of quantitative method for determination of γ-glutamyl peptides by capillary electrophoresis tandem mass spectrometry: an efficient approach avoiding matrix effect. J Chromatogr A. 2014;1369:161-9 pubmed publisher
    ..10 nl). The CE-MS/MS method provided high resolution and proved to be highly selective and sensitive, its utility being demonstrated by the determination of γ-glutamyl di- and tripeptides in serum and liver samples. ..
  5. Nakajima T, Katsumata K, Kuwabara H, Soya R, Enomoto M, Ishizaki T, et al. Urinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls. Int J Mol Sci. 2018;19: pubmed publisher
    ..961 (95% CI: 0.937-0.984, p < 0.0001). Computational validations confirmed the generalization ability of the models. Taken together, polyamines and a machine-learning method showed potential as a screening tool of CRC. ..
  6. Soga T, Sugimoto M, Honma M, Mori M, Igarashi K, Kashikura K, et al. Serum metabolomics reveals ?-glutamyl dipeptides as biomarkers for discrimination among different forms of liver disease. J Hepatol. 2011;55:896-905 pubmed publisher
    ..Glutamyl dipeptides are novel biomarkers for liver diseases, and varying levels of individual or groups of these peptides have the power to discriminate among different forms of hepatic disease. ..
  7. Soga T. Cancer metabolism: key players in metabolic reprogramming. Cancer Sci. 2013;104:275-81 pubmed publisher
    ..This paper reviews recent findings related to key transcription factors and enzymes that play an important role in the regulation of cancer metabolism. ..
  8. Itoi T, Sugimoto M, Umeda J, Sofuni A, Tsuchiya T, Tsuji S, et al. Serum Metabolomic Profiles for Human Pancreatic Cancer Discrimination. Int J Mol Sci. 2017;18: pubmed publisher
    ..Changes in metabolomic profiles might be used to screen for malignant cancers as well as to differentiate between PC and other malignant diseases. ..
  9. Asai Y, Itoi T, Sugimoto M, Sofuni A, Tsuchiya T, Tanaka R, et al. Elevated Polyamines in Saliva of Pancreatic Cancer. Cancers (Basel). 2018;10: pubmed publisher
    ..These data show the potential of saliva as a source for tests screening for PC. ..

More Information

Publications11

  1. Soga T, Igarashi K, Ito C, Mizobuchi K, Zimmermann H, Tomita M. Metabolomic profiling of anionic metabolites by capillary electrophoresis mass spectrometry. Anal Chem. 2009;81:6165-74 pubmed publisher
    ..8 and 24 fmol) at a signal-to-noise ratio of 3. This method is quantitative, sensitive, and robust, and its utility was demonstrated by the analysis of the metabolites in the central metabolic pathways extracted from mouse liver...
  2. Satoh K, Yachida S, Sugimoto M, Oshima M, Nakagawa T, Akamoto S, et al. Global metabolic reprogramming of colorectal cancer occurs at adenoma stage and is induced by MYC. Proc Natl Acad Sci U S A. 2017;114:E7697-E7706 pubmed publisher
    ..Moreover, inhibition of MYC target pyrimidine synthesis genes such as CAD, UMPS, and CTPS blocked cell growth, and thus are potential targets for colorectal cancer therapy. ..