Job title：
Associate Professor
Other affiliations (1)：
National Institutes of Biomedical Innovation, Health and Nutrition
Artificial Intelligence Center for Health and Biomedical Research
Visiting Researcher
Research field (4)：
Systems genomics
, Molecular biology
, Genomics
, Pharmaceuticals - chemistry and drug development
Research theme for competitive and other funds (6)：
2020 - 2023 Identification of Novel Antifibrotic Drug by Data-Driven Research Using AI
2020 - 2021 バイオインフォマティクス解析e-Learningコンテンツの開発
2016 - 2018 Identification of Small Non-Coding RNA for Pupation
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Papers (20)：
Hirokazu Shoji, Hidekazu Hirano, Yosui Nojima, Daigo Gunji, Akina Shinkura, Satoshi Muraoka, Yuichi Abe, Ryohei Narumi, Chioko Nagao, Masahiko Aoki, et al. Phosphoproteomic subtyping of gastric cancer reveals dynamic transformation with chemotherapy and guides targeted cancer treatment. Cell Reports. 2024. 114774-114774
Yosui Nojima, Masahiko Aoki, Suyong Re, Hidekazu Hirano, Yuichi Abe, Ryohei Narumi, Satoshi Muraoka, Hirokazu Shoji, Kazufumi Honda, Takeshi Tomonaga, et al. Integration of pharmacoproteomic and computational approaches reveals the cellular signal transduction pathways affected by apatinib in gastric cancer cell lines. Computational and Structural Biotechnology Journal. 2023. 21. 2172-2187
Yu Futami, Yoshito Takeda, Taro Koba, Ryohei Narumi, Yosui Nojima, Mari Ito, Mana Nakayama, Mimiko Ishida, Hanako Yoshimura, Yujiro Naito, et al. Identification of CD14 and lipopolysaccharide-binding protein as novel biomarkers for sarcoidosis using proteomics of serum extracellular vesicles. International Immunology. 2022. 34. 6. 327-340
Yayoi Natsume-Kitatani, Mari N Itoh, Yoshito Takeda, Masataka Kuroda, Haruhiko Hirata, Kohtaro Miyake, Takayuki Shiroyama, Yuya Shirai, Yoshimi Noda, Yuichi Adachi, et al. Data-driven patient stratification and drug target discovery by using medical information and serum proteome data of idiopathic pulmonary fibrosis patients. Research Square. 2022
Hidekazu Hirano, Yuichi Abe, Yosui Nojima, Masahiko Aoki, Hirokazu Shoji, Junko Isoyama, Kazufumi Honda, Narikazu Boku, Kenji Mizuguchi, Takeshi Tomonaga, et al. Temporal dynamics from phosphoproteomics using endoscopic biopsy specimens provides new therapeutic targets in stage IV gastric cancer. Scientific Reports. 2022. 12. 1. 4419-4419
Application of machine learning to single-cell RNA sequencing provides the candidate drugs against drug-tolerant persister cells in colorectal cancer
(CBI学会2024年大会 2024)
Application of machine learning to single-cell RNA sequencing provides the effective drugs against drug-tolerant persister cells in colorectal cancer
(The Conference of Digital Life vol.2 2024)
Ph.D. (Tokyo University of Agriculture and Technology)
Work history (7)：
2023/09 - 現在 Osaka University Center for Mathematical Modeling and Data Science Associate Professor
2020/09 - 現在 National Institutes of Biomedical Innovation, Health and Nutrition Artificial Intelligence Center for Health and Biomedical Research Visiting Scientist
2020/09 - 2023/08 Osaka University Center for Mathematical Modeling and Data Science Specially Appointed Lecturer
2018/04 - 2020/08 National Institutes of Biomedical Innovation, Health and Nutrition Artificial Intelligence Center for Health and Biomedical Research
2017/10 - 2018/03 RIKEN Center for Develpmental Biology Laboratory for Growth Control Signaling
2017/10 - 2018/03 Japan Society for the Promotion of Science
2016/04 - 2017/09 Japan Society for the Promotion of Science
The Japan Society for Industrial and Applied Mathematics
, Japanese Association for Medical Artificial Intelligence
, Japanese Society for Bioinformatics
, The Molecular Biology Society of Japan
