Machino Hidenori 町野英徳

Researcher Number	60833762
Other IDs
Affiliation (based on the past Project Information) *help	2022 – 2023: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員 2021: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員
Review Section/Research Field	Principal Investigator Basic Section 50010:Tumor biology-related
Keywords	Principal Investigator GATA family / AP-1 family / 転写因子 / 上皮間葉転換 / マルチオミックス解析 / 高異型度卵巣漿液性がん

Multi-omics analysis of ovarian cancer using a stepwise tumorigenesis modelPrincipal Investigator
- Principal Investigator
  
  Machino Hidenori
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 50010:Tumor biology-related
- Research Institution
  Institute of Physical and Chemical Research

All 2023 2022 2021

All Journal Article Presentation

[Journal Article] Analysis of super-enhancer using machine learning and its application to medical biology2023
- Author(s)
  Hamamoto Ryuji、Takasawa Ken、Shinkai Norio、Machino Hidenori、Kouno Nobuji、Asada Ken、Komatsu Masaaki、Kaneko Syuzo
- Journal Title
  
  Briefings in Bioinformatics
  
  Volume: - Issue: 3
- DOI
  10.1093/bib/bbad107
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H03550, KAKENHI-PROJECT-22K07180, KAKENHI-PROJECT-21K15519
[Journal Article] Integrative analysis reveals early epigenetic alterations in high-grade serous ovarian carcinomas2023
- Author(s)
  Machino Hidenori、Dozen Ai、Konaka Mariko、Komatsu Masaaki、Nakamura Kohei、Ikawa Noriko、Shozu Kanto、Asada Ken、Kaneko Syuzo、Yoshida Hiroshi、Kato Tomoyasu、Nakayama Kentaro、Saloura Vassiliki、Kyo Satoru、Hamamoto Ryuji
- Journal Title
  
  Experimental & Molecular Medicine
  
  Volume: 55 Issue: 10 Pages: 2205-2219
- DOI
  10.1038/s12276-023-01090-1
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-21H03550
[Journal Article] Advances in cancer DNA methylation analysis with methPLIER: use of non-negative matrix factorization and knowledge-based constraints to enhance biological interpretability2023
- Author(s)
  Takasawa K, Asada K, Kaneko S, Shiraishi K, Machino H, Takahashi S, Shinkai N, Kouno N, Kobayashi K, Komatsu M, Mizuno T, Okubo Y, Mukai M, Yoshida T, Yoshida Y, Horinouchi H, Watanabe S, Ohe Y, Yatabe Y, Kohno T, Hamamoto R
- Journal Title
  
  Experimental and Molecular Medicine
  
  Volume: 56 Issue: 3 Pages: 646-655
- DOI
  10.1038/s12276-024-01173-7
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K07180, KAKENHI-PROJECT-22K07681, KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-19H03429, KAKENHI-PROJECT-21H03550, KAKENHI-PROJECT-23K27449
[Journal Article] Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening2022
- Author(s)
  Sakai Akira、Komatsu Masaaki、Komatsu Reina、Matsuoka Ryu、Yasutomi Suguru、Dozen Ai、Shozu Kanto、Arakaki Tatsuya、Machino Hidenori、Asada Ken、Kaneko Syuzo、Sekizawa Akihiko、Hamamoto Ryuji
- Journal Title
  
  Biomedicines
  
  Volume: 10 Issue: 3 Pages: 551-551
- DOI
  10.3390/biomedicines10030551
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K09456, KAKENHI-PROJECT-21K15519
[Journal Article] The metabolic stress-activated checkpoint LKB1-MARK3 axis acts as a tumor suppressor in high-grade serous ovarian carcinoma2022
- Author(s)
  Hidenori Machino, Syuzo Kaneko, Masaaki Komatsu, Noriko Ikawa, Ken Asada, Ryuichiro Nakato, Kanto Shozu, Ai Dozen, Kenbun Sone, Hiroshi Yoshida, Tomoyasu Kato, Katsutoshi Oda, Yutaka Osuga, Tomoyuki Fujii, Gottfried von Keudell, Vassiliki Saloura, Ryuji Hamamoto
- Journal Title
  
  Communications Biology
  
  Volume: 5 Issue: 1 Pages: 39-39
- DOI
  10.1038/s42003-021-02992-4
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K09768, KAKENHI-PROJECT-19K09775, KAKENHI-PROJECT-20H03820, KAKENHI-PROJECT-21H03550, KAKENHI-PROJECT-21K09466, KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-21H03074
[Journal Article] Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information2022
- Author(s)
  Hamamoto R, Koyama T, Kouno N, Yasuda T, Yui S, Sudo K, Hirata M, Sunami K, Kubo T, Takasawa K, Takahashi S, Machino H, Kobayashi K, Asada K, Komatsu M, Kaneko S, Yatabe Y, Yamamoto N
- Journal Title
  
  Experimental Biology and Oncology
  
  Volume: 11 Issue: 1 Pages: 8-8
- DOI
  10.1186/s40164-022-00333-7
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K07180, KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-20H03461, KAKENHI-PROJECT-21H03550, KAKENHI-PROJECT-23K24468
[Journal Article] Repression of the PRELP gene is relieved by histone deacetylase inhibitors through acetylation of histone H2B lysine 5 in bladder cancer2022
- Author(s)
  Shozu Kanto、Kaneko Syuzo、Shinkai Norio、Dozen Ai、Kosuge Hirofumi、Nakakido Makoto、Machino Hidenori、Takasawa Ken、Asada Ken、Komatsu Masaaki、Tsumoto Kouhei、Ohnuma Shin-Ichi、Hamamoto Ryuji
- Journal Title
  
  Clinical Epigenetics
  
  Volume: 14 Issue: 1 Pages: 1-13
- DOI
  10.1186/s13148-022-01370-z
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-19H03429, KAKENHI-PROJECT-20H02531, KAKENHI-PROJECT-21H03550, KAKENHI-PROJECT-22KJ0925
[Journal Article] Tumor Suppressive Role of the PRELP Gene in Ovarian Clear Cell Carcinoma2022
- Author(s)
  Dozen Ai、Shozu Kanto、Shinkai Norio、Ikawa Noriko、Aoyama Rina、Machino Hidenori、Asada Ken、Yoshida Hiroshi、Kato Tomoyasu、Hamamoto Ryuji、Kaneko Syuzo、Komatsu Masaaki
- Journal Title
  
  Journal of Personalized Medicine
  
  Volume: 12 Issue: 12 Pages: 1999-1999
- DOI
  10.3390/jpm12121999
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-19H03429, KAKENHI-PROJECT-21H03550
[Journal Article] Appkication of non-negative matrix fractorization in oncology: one approach for establishing precision medicine2022
- Author(s)
  Hamamoto R, Takasawa K, Machino H, Kobayashi K, Takahashi S, Bolatkan A, Shinkai N, Sakai A, Aoyama R, Yamada M, Asada K, Komatsu M, Okamoto K, Kameoka H, Kaneko S
- Journal Title
  
  Briefings in Bioinformatics
  
  Volume: 23 Issue: 4
- DOI
  10.1093/bib/bbac246
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K07180, KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-21H03550
[Presentation] Comprehensive transcription factor motif analysis focusing on mutational signatures in multiple cancer types2023
- Author(s)
  Hidenori Machino
- Organizer
  日本癌学会
- Data Source
  KAKENHI-PROJECT-21K15519
[Presentation] 複数がん種のmutational signatureに着目した包括的転写因子モチーフ解析2023
- Author(s)
  Hidenori Machino
- Organizer
  日本メディカルAI学会
- Data Source
  KAKENHI-PROJECT-21K15519
[Presentation] Epigenetic dysregulation of AP-1 and GATA family genes induces epithelial-mesenchymal transition in ovarian carcinomas2022
- Author(s)
  Hidenori Machino
- Organizer
  日本癌学会
- Data Source
  KAKENHI-PROJECT-21K15519
[Presentation] Integrative analysis revealed early epigenetic changes in high-grade serous ovarian carcinogenesis2021
- Author(s)
  Hidenori Machino
- Organizer
  日本癌学会
- Data Source
  KAKENHI-PROJECT-21K15519

1. 小松玲奈

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
2. 小松正明

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results
3. 金子修三

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results
4. 浜本隆二

# of Collaborated Projects: 0 results

# of Collaborated Products: 4 results
5. 浅田健

# of Collaborated Projects: 0 results

# of Collaborated Products: 4 results

Machino Hidenori 町野 英徳

Research Projects

Research Products

Co-Researchers

Multi-omics analysis of ovarian cancer using a stepwise tumorigenesis modelPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Analysis of super-enhancer using machine learning and its application to medical biology2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Integrative analysis reveals early epigenetic alterations in high-grade serous ovarian carcinomas2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Advances in cancer DNA methylation analysis with methPLIER: use of non-negative matrix factorization and knowledge-based constraints to enhance biological interpretability2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] The metabolic stress-activated checkpoint LKB1-MARK3 axis acts as a tumor suppressor in high-grade serous ovarian carcinoma2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Repression of the PRELP gene is relieved by histone deacetylase inhibitors through acetylation of histone H2B lysine 5 in bladder cancer2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Tumor Suppressive Role of the PRELP Gene in Ovarian Clear Cell Carcinoma2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Appkication of non-negative matrix fractorization in oncology: one approach for establishing precision medicine2022

Author(s)

Journal Title

DOI

Data Source

[Presentation] Comprehensive transcription factor motif analysis focusing on mutational signatures in multiple cancer types2023

Author(s)

Organizer

Data Source

[Presentation] 複数がん種のmutational signatureに着目した包括的転写因子モチーフ解析2023

Author(s)

Organizer

Data Source

[Presentation] Epigenetic dysregulation of AP-1 and GATA family genes induces epithelial-mesenchymal transition in ovarian carcinomas2022

Author(s)

Organizer

Data Source

[Presentation] Integrative analysis revealed early epigenetic changes in high-grade serous ovarian carcinogenesis2021

Author(s)

Organizer

Data Source

Machino Hidenori 町野英徳