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A method for gene regulatory network estimation based on high-throughput sequencer data

Research Project

Project/Area Number 24700294
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Bioinformatics/Life informatics
Research InstitutionOsaka University

Principal Investigator

Seno Shigeto  大阪大学, 情報科学研究科, 助教 (30432462)

Project Period (FY) 2012-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywordsバイオインフォマティクス / 遺伝子発現解析 / 褐色脂肪細胞
Outline of Final Research Achievements

We developed a method for the estimation of gene regulatory networks based on the gene expression data obtained by using both microarray technology and high throughput sequencer technology. Our method was applied to the data observing the effects of cold exposure against adipocytes, we successfully detected some candidate genes concerning browning mechanism.

Report

(5 results)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • 2013 Research-status Report
  • 2012 Research-status Report
  • Research Products

    (18 results)

All 2016 2015 2014 2013 2012 Other

All Journal Article (6 results) (of which Peer Reviewed: 6 results,  Open Access: 2 results,  Acknowledgement Compliant: 1 results) Presentation (12 results) (of which Int'l Joint Research: 1 results,  Invited: 1 results)

  • [Journal Article] Proinflammatory cytokine interleukin-1β suppresses cold-induced thermogenesis in adipocytes2016

    • Author(s)
      Tsuyoshi Goto, Supaporn Naknukool, Rieko Yoshitake, Yuki Hanafusa, Soshi Tokiwa, Yongjia Li, Tomoya Sakamoto, Takahiro Nitta, Minji Kim, Nobuyuki Takahashi, Rina Yu, Hiromi Daiyasu, Shigeto Seno, Hideo Matsuda, Teruo Kawada
    • Journal Title

      Cytokine

      Volume: 77 Pages: 107-114

    • DOI

      10.1016/j.cyto.2015.11.001

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Detecting shifts in gene regulatory networks during time-course experiments at single-time-point temporal resolution2016

    • Author(s)
      Yoichi Takenaka, Shigeto Seno, Hideo Matsuda
    • Journal Title

      J. Bioinformatics and Computational Biology

      Volume: 13 Issue: 05 Pages: 1543002-1543020

    • DOI

      10.1142/s0219720015430027

    • Related Report
      2015 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Metagenome fragment classification based on multiple motif-occurrence profiles2014

    • Author(s)
      Naoki Matsushita, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Journal Title

      PeerJ

      Volume: 2: e559 Pages: 1-13

    • DOI

      10.7717/peerj.559

    • Related Report
      2014 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] 複数時系列遺伝子発現プロファイルを利用した遺伝子制御ネットワーク推定の精度向上手法2013

    • Author(s)
      渡邉之人, 瀬尾茂人, 竹中要一, 松田秀雄
    • Journal Title

      情報処理学会論文誌 数理モデル化と応用

      Volume: 6 Pages: 151-162

    • NAID

      110009550160

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Journal Article] An estimation method for a cellular-state-specific gene regulatory network along tree-structured gene expression profiles2013

    • Author(s)
      Ryo Araki, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Journal Title

      Gene

      Volume: Vol.518 Issue: 1 Pages: 17-25

    • DOI

      10.1016/j.gene.2012.11.090

    • Related Report
      2012 Research-status Report
    • Peer Reviewed
  • [Journal Article] A Method for Isoform Prediction from RNA-Seq Data by Iterative Mapping2012

    • Author(s)
      Tomoshige Ohno, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Journal Title

      IPSJ Transactions on Bioinformatics(TBIO)

      Volume: 5 Pages: 27-33

    • Related Report
      2012 Research-status Report
    • Peer Reviewed
  • [Presentation] イメージングデータの定量化とトランスオミクス解析2015

    • Author(s)
      瀬尾茂人
    • Organizer
      生理学研究所研究会
    • Place of Presentation
      自然科学研究機構岡崎コンファレンスセンター(岡崎市)
    • Year and Date
      2015-09-14
    • Related Report
      2015 Annual Research Report
    • Invited
  • [Presentation] Detecting the shifts of gene regulatory networks during time-course experiments with a single time point temporal resolution2015

    • Author(s)
      Yoichi Takenaka, Shigeto Seno, Hideo Matsuda
    • Organizer
      GIW/InCOB2015
    • Place of Presentation
      日本科学未来館(江東区)
    • Year and Date
      2015-09-09
    • Related Report
      2015 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ダイナミックベイジアンネットワークを用いた遺伝子制御ネットワーク推定の部分問題化による近似解法2015

    • Author(s)
      上木怜, 瀬尾茂人, 竹中要一, 松田秀雄
    • Organizer
      第42回バイオ情報学研究会
    • Place of Presentation
      沖縄科学技術大学院大学(沖縄県)
    • Year and Date
      2015-06-23
    • Related Report
      2015 Annual Research Report
  • [Presentation] ベイジアンネットワークによる遺伝子制御ネットワーク推定結果の反復構築のための計算速度向上手法2014

    • Author(s)
      津田絢子,瀬尾茂人,竹中要一,松田秀雄
    • Organizer
      第98回MPS・第38回BIO合同研究発表会
    • Place of Presentation
      沖縄科学技術大学院大学
    • Year and Date
      2014-06-25 – 2014-06-27
    • Related Report
      2014 Research-status Report
  • [Presentation] An estimation method for a cellular-state-specific gene regulatory network along tree-structured gene expression profiles2012

    • Author(s)
      Ryo Araki, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Organizer
      GIW2012
    • Place of Presentation
      Tainan, Taiwan
    • Related Report
      2012 Research-status Report
  • [Presentation] Estimate Dynamic Gene Regulatory Networks in Adipocyte Differentiation for Detecting Changes of Gene Regulations by Splitting Time Course Data2012

    • Author(s)
      Tomoyoshi Nakayama, Yoshiyuki Kido, Hiromi Daiyasu, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Organizer
      GIW2012
    • Place of Presentation
      Tainan, Taiwan
    • Related Report
      2012 Research-status Report
  • [Presentation] Bayes-based inference of gene regulatory network for multiple time series gene expression profile2012

    • Author(s)
      Yukito Watanabe, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Organizer
      Joint Conference on Informatics is Biology, Medicine and Pharmacology 2012
    • Place of Presentation
      Tokyo, Japan
    • Related Report
      2012 Research-status Report
  • [Presentation] Transcript-Type Dependent Normalization of Expression Levels in RNA-Seq Data for Non-Coding RNA Analysis2012

    • Author(s)
      Tomoshige Ohno, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Organizer
      Joint Conference on Informatics is Biology, Medicine and Pharmacology 2012
    • Place of Presentation
      Tokyo, Japan
    • Related Report
      2012 Research-status Report
  • [Presentation] Gene Set Enrichment Analysis for a Long Time Series Gene Expression Profile

    • Author(s)
      Yuta Okuma, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Organizer
      BIOCOMP2013
    • Place of Presentation
      Las Vegas, Nevada, USA
    • Related Report
      2013 Research-status Report
  • [Presentation] A Method of Sequence Analysis for High-Throughput Sequencer Data Based on Shifted Short Read Clustering

    • Author(s)
      Kensuke Suzuki, Daisuke Ueta, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Organizer
      BIOCOMP2013
    • Place of Presentation
      Las Vegas, Nevada, USA
    • Related Report
      2013 Research-status Report
  • [Presentation] Reconstruction of Dynamic Gene Regulatory Networks for Cell Differentiation by Separation of Time-course Data

    • Author(s)
      Tomoyoshi Nakayama, Hiromi Daiyasu, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Organizer
      BIOCOMP2013
    • Place of Presentation
      Las Vegas, Nevada, USA
    • Related Report
      2013 Research-status Report
  • [Presentation] Integrative prediction of miRNA-mRNA interactions from high-throughput sequencing data

    • Author(s)
      Tomoshige Ohno, Hiromi Daiyasu, Shigeto Seno, Yoichi Takenaka, Hideo Matsuda
    • Organizer
      RECOMB DREAM 2013
    • Place of Presentation
      Las Vegas, Nevada, USA
    • Related Report
      2013 Research-status Report

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Published: 2013-05-31   Modified: 2019-07-29  

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