School personnel information

写真b

OKADA Mariko


Keyword

Systems biology, Signal transduction, Transcriptional regulation, Mathematical modeling, cancer, immunology, inflammation

Mail Address

 Mail Address

Laboratory Phone number

+81-6-6879-8617

Laboratory Fax number

+81-6-6879-8619

URL

http://www.protein.osaka-u.ac.jp/laboratories/cell-systems

Gender

Female
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Organization 【 display / non-display 】

  • 2016.07.01 - , Institute for Protein Research, Professor

  • 2014.10.01 - , Institute for Protein Research

  • 2014.04.01 - , Institute for Protein Research

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Education 【 display / non-display 】

Tokyo University of Agriculture and Technology Graduate School, Division of Agricltural Sciences  Completed 1988.03
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Employment Record 【 display / non-display 】

RIKEN Institute 2000.07 - 2016.07
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Research topics 【 display / non-display 】

  • Cellular Systems Biology
    Quantitative experiments and mathematical modeling for understanding of cell decision mechanisms
    Omics analysis of cell systems
    Cell biology-related, Functional biochemistry-related, System genome science-related

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Academic Papers 【 display / non-display 】

  • Pulmonary phagocyte-derived NPY controls the pathology of severe influenza virus infection, Seiki Fujiwara, Midori Hoshizaki, Yu Ichida, Dennis Lex, Etsushi Kuroda, Ken Ishii, Shigeyuki Magi, Mariko Okada, Hiroyuki Takao, Masahiro Gandou, Hirotaka Imai, Ryujiro Hara, Herbert Herzog, Akihiko Yoshimura, Hitoshi Okamura, Josef Penninger, Arthur Slutsky, Stefan Uhlig, Keiji Kuba, and Yumiko Imai, Nature Microbiology，Vol. 4, pp. 258-268, 2019.02, Papers

  • Tamoxifen reprograms the tumor microenvironment and the survival of cancer cells via HIF-1A, Ernesto Cortes, Dariusz Lachowski, Benjamin Robinson, Muge Sarper, Jaakko Teppo, Stephen Thorpe, Tyler Lieberthal, Kazunari Iwamoto, Daniel Lee, Mariko Okada-Hatakeyama, Markku Varjosalo, and Armando del Rio Hernandez, EMBO Reports，Volume 20, Issue 2, e46557, 2018.12, Papers

  • Inference of Genetic Networks Using Random Forests: Use of Different Weights for Time-series and Static Gene Expression Data, Shuhei Kimura, Masato Tokuhisa and Mariko Okada-Hatakeyama, Proc. of the 18th IEEE International Conference on Bioinformatics and Bioengineering，pp. 98-103, 2018.12, International Conference(Proceedings)

  • Hunt for the tipping point during endocrine resistance process in breast cancer by dynamic network biomarkers, Rui Liu, Jinzeng Wang, Masao Ukai, Ki Sewon, Pei Chen, Yutaka Suzuki, Haiyun Wang, Kazuyuki Aihara, Mariko Okada-Hatakeyama, Luonan Chen., Journal of Molecular Cell Biology， 1-16, 2018.11, Papers

  • The Number of Transcription Factor Molecules Loading at an Enhancer Determines Gene Expression Quantity, Kazunari Iwamoto, Hisaaki Shinohara, Noriko Yumoto, Masahide Seki, Mana Umeda, Tetsutaro Hayashi, Itoshi Nikaido, Yutaka Suzuki, Mariko Okada-Hatakeyama, SSRN，3287786, 2018.11, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3287786, Papers

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Conference management 【 display / non-display 】

  • International Conference, 16th International Conference of Systems Biology (ICSB) , Program Committee, 2015.11

  • International Conference, 2nd Symposium on Complex Biodynamics & Networks , Program Committee, 2015.05

  • International Conference, The Third BMIRC International Symposium for Virtual Physiological Human , Program Chair, 2015.03

  • International Conference, The US-Japan International Cancer Systems Biology Meeting, Organizer, 2009.10

  • International Conference, The 2nd RIKEN - University of Edinburgh Joint Workshop for Computational and Systems Biology (Tokyo, 2009),, Organizer, 2009.09

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