第764回 生医研セミナー(多階層生体防御システム研究拠点)


下記の通り、Jean-Marc Schwartz 先生によるセミナーを開催致します。皆様方のご来聴を心より歓迎申し上げます。

※セミナーは英語で行われます。(Seminar in English)

演題 / Title

Applications of systems and network approaches to the investigation of human diseases.

演者 / Speaker

Dr. Jean-Marc Schwartz
Senior Lecturer
Faculty of Biology, Medicine and Health
University of Manchester, UK

日時 / Date

2018年1月22日(水)  Jan. 22 (Mon), 2018
16:00~17:00

場所 / Venue

病院キャンパス 総合研究棟1F 105セミナー室
以下の地図の1番です。
(http://www.kyushu-u.ac.jp/f/30078/Hospital_jp-2017.pdf)

Seminar Room 105, 1F, Biomedical Research Station
No.1 on the following linked map.
(http://www.kyushu-u.ac.jp/f/30074/Hospital_en-2017.pdf)

要 旨 / Abstract

Network and systems-based approaches are increasingly used to study dysregulated molecular components in diseases. By modelling the relations between genes/proteins in an integrative way, we can gain better understanding of the processes and pathways involved in disorders and infer their causal regulators, paving the way for the development of new treatments. In this seminar, we will describe different approaches enabling us to model disease systems. First, we will present a Boolean modelling technique applied to understand the mechanisms of action of Herceptin, a drug which is widely used to treat breast cancer but whose action is hampered in some cases by the development of resistance in tumour cells. Next, we will present an integration of network analysis with gene expression (RNA-sequencing) data applied to the study of skeletal diseases, and show how this integration helps to discover new pathways and regulators involved in these disorders.

業 績 / Publications

  1. Hetmanski et al (2016). A MAPK-driven feedback loop suppresses Rac activity to promote RhoA-driven cancer cell invasion. PLoS Computational Biology 12: e1004909.
  2. Dunn et al (2016). Gene expression changes in damaged osteoarthritic cartilage identify a signature of non-chondrogenic and mechanical responses. Osteoarthritis and Cartilage 24: 1431-40.
  3. Schwartz et al (2015). Metabolic flux prediction in cancer cells with altered substrate uptake. Biochem Soc Trans 43: 1177-81.
  4. Soul et al (2015). PhenomeExpress: A refined network analysis of expression datasets by inclusion of known disease phenotypes. Scientific Reports 5: 8117.
  5. Tian et al (2013). Dynamics of DNA damage induced pathways to cancer. PLoS One 8: e72303.

連絡先 / Contact

生体防御医学研究所 システムコホート学分野
山西 芳裕 092(642)6925

Division of System Cohort, MIB, Yoshihiro Yamanishi
Tel:092-642-6925