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Omics Analysis and Systems Mathematical Science towards Understanding Kampo Efficacy

Research Project

Project/Area Number 24300111
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypePartial Multi-year Fund
Section一般
Research Field Bioinformatics/Life informatics
Research InstitutionThe University of Tokyo

Principal Investigator

IMOTO Seiya  東京大学, 医科学研究所, 准教授 (10345027)

Co-Investigator(Kenkyū-buntansha) WATANABE Kenji  慶應義塾大学, 環境情報学部, 教授 (70191757)
Project Period (FY) 2012-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥16,900,000 (Direct Cost: ¥13,000,000、Indirect Cost: ¥3,900,000)
Fiscal Year 2014: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2013: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2012: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
Keywordsシステム数理解析 / 漢方薬効 / オミクスデータ解析 / トランスクリプトーム / システム的解析 / オミックス解析 / データ統合 / 遺伝子発現 / 遺伝子ネットワーク
Outline of Final Research Achievements

Kampo medicine has been widely used, but frequently its scientific evidence is not very clear. In this study, to find scientific evidence of two Kampo medicine, Hochuekki-to and Ninjinyoei-to, we newly create whole transcriptome data measured by microarray chip technology. The transcriptome data were measured in time-series and we prepare multiple conditions for case-control study and for Hochuekki-to transcriptome data were measured in multiple tissues. We used them to elucidate molecular mechanism of Kampo efficacy. To create simulation model for representing drug mode-of-action, we developed new data assimilation technique that can handle drug as an external variable. The relationship among molecules can be automatically determined based on the previously reported models. If the template models contain errors, the method automatically revised the models that yield more accurate prediction. This technique enables us to perform larger simulation of Kampo mode-of-action.

Report

(4 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Annual Research Report
  • 2012 Annual Research Report
  • Research Products

    (7 results)

All 2015 2014 2013

All Journal Article (5 results) (of which Peer Reviewed: 5 results,  Open Access: 3 results) Presentation (2 results) (of which Invited: 1 results)

  • [Journal Article] Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks2015

    • Author(s)
      Hasegawa T, Mori T, Yamaguchi R, Shimamura T, Miyano S, Imoto S, Akutsu T.
    • Journal Title

      BMC Systems Biology

      Volume: 9 Issue: 1 Pages: 14-14

    • DOI

      10.1186/s12918-015-0154-2

    • NAID

      120005749949

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Sparse overlapping group lasso for integrative multi-omics analysis2015

    • Author(s)
      Park H, Niida A, Miyano S, Imoto S.
    • Journal Title

      Journal of Computational Biology

      Volume: 22 Issue: 2 Pages: 73-84

    • DOI

      10.1089/cmb.2014.0197

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] An Efficient Data Assimilation Schema for Restoration and Extension of Gene Regulatory Networks Using Time-course Observation Data2014

    • Author(s)
      T. Hasegawa, T. Mori, R. Yamaguchi, S. Miyano, T. Akutsu
    • Journal Title

      Journal of Computational Biology

      Volume: 21 Issue: 11 Pages: 785-798

    • DOI

      10.1089/cmb.2014.0171

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Analysis of Questionnaire for Traditional Medicine and Development of Decision Support System2014

    • Author(s)
      Kotoe Katayama, Rui Yamaguchi, Seiya Imoto, Kenji Watanabe and Satoru Miyano
    • Journal Title

      Evidence-Based Complementary and Alternative Medicine

      Volume: 2014 Issue: 1 Pages: 974139-974139

    • DOI

      10.1155/2014/974139

    • Related Report
      2013 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Multi-omics approach for estimating metabolic networks using low-order partial correlations2013

    • Author(s)
      Kayano M, Imoto S, Yamaguchi R, Miyano S
    • Journal Title

      Journal of Computational Biology

      Volume: 20 Issue: 8 Pages: 571-582

    • DOI

      10.1089/cmb.2013.0043

    • Related Report
      2013 Annual Research Report
    • Peer Reviewed
  • [Presentation] Integrated understanding for Hochuekkito on microarray expression data2015

    • Author(s)
      Kotoe Katayama, Kaori Munakata, Katsuaki Dan, Rui Yamaguchi ,Seiya Imoto, Kenji Watanabe, Satoru Miyano
    • Organizer
      Pacific Symposium on Biocomputing
    • Place of Presentation
      Hawaii, USA
    • Year and Date
      2015-01-04 – 2015-01-08
    • Related Report
      2014 Annual Research Report
  • [Presentation] 個別化医療時代の漢方2014

    • Author(s)
      井元清哉
    • Organizer
      NPO健康医療開発機構 第7回シンポジウム
    • Place of Presentation
      学士会館, 東京都
    • Related Report
      2013 Annual Research Report
    • Invited

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Published: 2012-04-24   Modified: 2019-07-29  

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