Imoto Seiya

イモトセイヤ | Imoto Seiya

Affiliation and department：
Job title：教授
Homepage URL (2)： https://www.hm-intelligence.com/ , https://en.hm-intelligence.com/

Research field (2)： Biological, health, and medical informatics , Systems genomics

Research theme for competitive and other funds (28)：

2024 - 2027 Network analysis method for extracting useful molecules in HFLAC
2022 - 2026 Fundamental research for the development of phage therapies targeting intestinal pathobiont
2022 - 2025 時空間内包型数理的解析手法によるがん細胞のクロナリティの新たな理解
2021 - 2024 疾患メタゲノム解析による腸内微生物叢の臓器機能評価のための情報基盤技術の開発
2021 - 2024 全ゲノム-マルチオミクス情報に基づく日本型有毛白血病の分子病態解明と標的治療開発

2020 - 2023 Prediction of cancer microenvironment using deconvolution analysis

2018 - 2022 Elucidation of the molecular basis of the diseases caused by abnormalities in networks of energy metabolism

2018 - 2021 Multi-omics analysis for hepato-biliary-pancreatic cancers

2018 - 2021 Bayesian Modeling for Understanding Systems of Immune Responses and Revealing Immune Escape Mechanisms

2015 - 2020 Neodimensional exploration for cancer systems by supercomputing and innovative information technology

2015 - 2020 Theories and Methodologies for Large Complex Data

2015 - 2018 Hierarchical Bayesian method for analyzing high polymorphic HLA genome sequence

2013 - 2016 Medical informatics infrastructure for personalized genomic medicine

2012 - 2015 Omics Analysis and Systems Mathematical Science towards Understanding Kampo Efficacy

2010 - 2015 Development of Systems Cancer Research by Computation and Simulation

2011 - 2013 Prediction of Epidemic of Infectious Disease by Statistical Modeling, and Scientific Policy Making

2010 - 2012 Drug-response pathway analysis methods based on network analysis

2010 - 2012 生体内分子ネットワークに基づく大規模がんゲノムデータ解析の方法論の研究

2008 - 2010 Flexible and Robust Nonlinear Statistical Modeling Based on High-Dimensional Complex Heterogeneous Data Analysis

2008 - 2010 確率ネットワークモデルに基づく高次情報バイオマーカー探索多変量統計手法の開発

2007 - 2009 Development of Causal Structure Mining Method for Large Scale Dimensional Data and Construction of Gene Function Knowledge Base

2005 - 2009 Estimation and simulation of gene networks for developing in silico biological networks

2006 - 2008 In Silico Search for Drug Target Pathways by Gene Networks

2005 - 2008 Research on information fusion methods for multiple genomic data sources with heterogeneity based on hierarchical statistical modeling

2005 - 2007 ベイズ型統計モデルによる複数異種形式データ解析の理論と方法論の研究

2003 - 2005 Information Scientific Foundations of Knowledge Discovery from Proteome Data

2003 - 2004 高次元データによる複雑非線形現象解明のための柔軟な統計モデルの理論・方法論の研究

2003 - 2004 Information Technoloy for Gene Network Analysis

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Papers (5)：

Shinichi Mizuno, Rui Yamaguchi, Takanori Hasegawa, Shuto Hayashi, Masashi Fujita, Fan Zhang, Youngil Koh, Su Yeon Lee, Sung Soo Yoon, Eigo Shimizu, et al. Immunogenomic pan-cancer landscape reveals immune escape mechanisms and immunoediting histories. Scientific Reports. 2021. 11. 1. 15713-15713
Masashi Fujita, Rui Yamaguchi, Takanori Hasegawa, Shu Shimada, Koji Arihiro, Shuto Hayashi, Kazuhiro Maejima, Kaoru Nakano, Akihiro Fujimoto, Atsushi Ono, et al. Classification of primary liver cancer with immunosuppression mechanisms and correlation with genomic alterations. EBioMedicine. 2020. 53. 102659-102659
Peter J. Campbell, Gad Getz, Jan O. Korbel, Joshua M. Stuart, Jennifer L. Jennings, Lincoln D. Stein, Marc D. Perry, Hardeep K. Nahal-Bose, B. F.Francis Ouellette, Constance H. Li, et al. Pan-cancer analysis of whole genomes. Nature. 2020. 578. 7793. 82-93
Takatsuno Y, Mimori K, Yamamoto K, Sato T, Niida A, Inoue H, Imoto S, Kawano S, Yamaguchi R, Toh H, et al. The rs6983267 SNP is associated with MYC transcription efficiency, which promotes progression and worsens prognosis of colorectal cancer. Annals of Surgical Oncology. 2013. 20. 4. 1395-1402
Ishimaru, S, Mimori, K, Yamamoto, K, Inoue, H, Imoto, S, Kawano, S, Yamaguchi, R, Sato, T, Toh, H, Iinuma, H, et al. Increased risk for CRC in diabetic patients with the nonrisk allele of SNPs at 8q24. Annals of Surgical Oncology. 2012. 19. 9. 2853-2858

MISC (2)：

藤田征志, 井元清哉, 山口類, 長谷川嵩矩, 林周斗, 宮野悟, 松原長秀, 冨田尚裕, 山上裕機, 茶山一彰, et al. 肝臓がんおよび大腸がんのゲノム・トランスクリプトーム解析による腫瘍免疫微小環境の特性評価. 日本がん免疫学会総会プログラム・抄録集. 2018. 22回. 152-152
宮野悟, 伊東聰, Park Heewon, 白石友一, 島村徹平, 玉田嘉紀, 井元清哉. 【ビッグデータ変革する生命科学・医療激増するオミクスデータ・医療データとどう向き合い、どう活用すべきか?】(第1章)ビッグデータと生命科学「京」を使った大規模データ解析によるがんのシステム異常の網羅的解析. 実験医学. 2016. 34. 5. 733-738

Work history (6)：

2020/04 - 現在 The University of Tokyo Human Genome Center, The Institute of Medical Science Professor
2015/05 - 2020/03 The University of Tokyo Health Intelligence Center, The Institute of Medical Science Professor
2007/02 - 2015/04 The University of Tokyo Human Genome Center, The Institute of Medical Science Associate Professor
2001/12 - 2007/02 The University of Tokyo Human Genome Center, The Institute of Medical Science Assistant Professor
2001/04 - 2001/11 The University of Tokyo Human Genome Center, The Institute of Medical Science Postdoctoral Researcher

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