東京科学大学総合研究院 M&Dデータ科学センター
Institute of Integrated Research M&D Data Science Center, Science Tokyo

Department of Integrated Analytics

Home » Research Divisions/Departments » Integrated Analytics

We deal with multidimensional and ultra-heterogeneous biological big data, which is a combination of omics data such as genome, epigenome, transcriptome, proteome, and metabolome, and human body composition values, medical interviews, blood test values, blood gas analysis values, ECG, ventilator data, and so on. Through the analysis using bioinformatics, statistical science, and machine learning (Bayesian theory, deep learning, etc.) on advanced information processing technologies such as supercomputers and GPUs, we aim to reveal new medical and life science knowledge and to elucidate entire biological systems. Beyond understanding and applying existing bioinformatics methodologies, we’re also developing new mathematical methods to analyze continuously emerging new life science data, and multi-dimensional and ultra-heterogeneous biological data. Through these methodologies and a broad understanding of medicine and life science, we are able to analyze biological systems, elucidate genomic and epigenomic causes of disease, predict patient prognosis and future conditions for acute and chronic diseases, and formulate therapeutic strategies.

Member

Satoru Miyano

Specially Appointed Professor

Takanori Hasegawa

Associate Professor

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Hiroko Tanaka

Assistant Professor

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Asako Suzuki

Technical Assistant

Seishi Okamoto
（Fujitsu Ltd.）

Visiting Professor

Koji Maruhashi
（Fujitsu Ltd.）

Visiting Professor

Project

Human Internal state prediction using mathematical modeling

Disease states are caused by the complex interactions of multidimensional and heterogeneous factors such as genes and metabolites in the body, and bacterial flora in the intestines and skin. On the other hand, a healthy state is one in which these factors are balanced within the organism. Our team combines omics data such as genome, transcriptome, proteome, and large-scale patient data obtained through clinical and health examinations with mathematical modeling to clarify the complex relationships among them and elucida the internal states of healthy and diseased individuals. This enables us to determine the causative factors of diseases, predict the severity and prognosis of each patient, and propose treatment strategies for them. In addition, even if we have only partial medical information, such as body composition values and medical interview items, these technologies will estimate the probability of disease through the prediction of blood test values and to identify the part of abnormal states.

Mathematical modeling of the effects of lifestyle, social status, and genetic factors on blood test values using a state-space model.

Development of neoantigen prediction methods to target tumor cells and inflammation-inducing cells such as senescent cells

With the development of next-generation sequencing, whole genome/exome sequencing has become a standard analytical method in cancer research. For many years, our team has been working to elucidate the pathogenesis of cancer by mathematically analyzing sequencing results. As part of this research, we have developed analytical methods to predict neoantigens based on mutations, analyzed the role of neoantigens in the cancer immune system, and evaluated immune pathology in tumors. In particular, recent studies have shown the possibility of eliminating not only tumor cells but also (partially) senescent cells by using T cells designed to target senescent cells and checkpoint inhibitors. We are developing mathematical analysis methods to assess and elucidate immune system at the cellular level and to predict appropriate neoantigens with the goal of controlling immune system and appropriately regulating these cells.

Large-scale data analysis and artificial intelligence techniques to elucidate the origin and diversity of cancer

Large-scale data analysis and artificial intelligence technology have elucidated the origin and diversity of cancerCancer research over the years. They have revealed that genes involved in invasion and epithelial-mesenchymal transition (EMT) are deeply involved in cancer metastasis. In order to elucidate the mechanisms of invasion and EMT, it is not enough to simply identify the genes involved; we need to know what kind of network is formed among the related genes, which network plays a particularly important role in invasion and EMT within that network structure, and which network is the most important one. Our team utilized the supercomputer system at the Human Genome Center of the Institute of Medical Science, the University of Tokyo, and the K and Fugaku supercomputers to run a program called network profiling, which can estimate networks that are likely to be associated with metastasis or recurrence of cancer cells. We’re extracting the network structure formed by genes that are highly likely to be associated with metastasis and recurrence of cancer cells, and to elucidate the mechanisms of metastasis and recurrence that cannot be determined at the individual gene level, as well as to discover new mechanisms.

Establishment of an integrated analysis platform for M&D data science center and promotion of collaborative research systems within and outside of Science Tokyo

Medical and dental research is entering a new era in terms of both quality and quantity of information. In the analysis of health conditions and diseases, it has become common to obtain large amounts of biomedical information through, e.g., whole genome and single cell analysis, and the integrated analysis of such information can generate new findings and therapeutic strategies for diseases. Our team, Integrated Analytics Division, consists of research members with many years of experience in such large-scale data analysis, and promotes biomedical research not only within Tokyo Medical and Dental University, but also in collaboration with many external research institutions, including the University of Tokyo, Kobe University, and Kyushu University. Our activities include whole genome analysis in the COVID19 Task Force, studies to predict the severity, mortality, and prognosis of acute and chronic diseases including COVID19 patients in ICU, germline and tumor genome analysis (whole genome, exome, transcriptome, single cell analysis, cfDNA analysis, proteome analysis, metabolome analysis, etc.), and drug response prediction. In addition, such as a comprehensive agreement has been concluded with the supercomputer SHIROKANE at the Institute of Medical Science, the University of Tokyo, we will practice integrated analysis of Science Tokyo and promote information education and the construction of an information infrastructure necessary for integrated analysis.

Research Topic

  1. Human internal state prediction using mathematical modeling
  2. Prediction of disease incidence and severity using health examination and electronic health record
  3. Mathematical modeling for the tumor and senescent cells immune system analysis
  4. Large-scale data analysis and artificial intelligence techniques to elucidate the origin and diversity of cancer
  5. Large-scale multi-omics data analysis for healthy and diseases persons

Recent Works

  1. Saiki R, Momozawa Y, Nannya Y, Nakagawa MM, Ochi Y, Yoshizato T, Terao C, Kuroda Y, Shiraishi Y, Chiba K, Tanaka H, Niida A, Imoto S, Matsuda K, Morisaki T, Murakami Y, Kamatani Y, Matsuda S, Kubo M, Miyano S, Makishima H, Ogawa S. Combined landscape of single-nucleotide variants and copy number alterations in clonal hematopoiesis. Nature medicine. 2021.07; 27 (7): 1239-1249. ( PubMed, DOI )
  2. Fujii Y, Sato Y, Suzuki H, Kakiuchi N, Yoshizato T, Lenis AT, Maekawa S, Yokoyama A, Takeuchi Y, Inoue Y, Ochi Y, Shiozawa Y, Aoki K, Yoshida K, Kataoka K, Nakagawa MM, Nannya Y, Makishima H, Miyakawa J, Kawai T, Morikawa T, Shiraishi Y, Chiba K, Tanaka H, Nagae G, Sanada M, Sugihara E, Sato TA, Nakagawa T, Fukayama M, Ushiku T, Aburatani H, Miyano S, Coleman JA, Homma Y, Solit DB, Kume H, Ogawa S. Molecular classification and diagnostics of upper urinary tract urothelial carcinoma. Cancer cell. 2021.06; 39 (6): 793-809.e8. ( PubMed, DOI )
  3. Yamaguchi K, Kasajima R, Takane K, Hatakeyama S, Shimizu E, Yamaguchi R, Katayama K, Arai M, Ishioka C, Iwama T, Kaneko S, Matsubara N, Moriya Y, Nomizu T, Sugano K, Tamura K, Tomita N, Yoshida T, Sugihara K, Nakamura Y, Miyano S, Imoto S, Furukawa Y, Ikenoue T. Application of targeted nanopore sequencing for the screening and determination of structural variants in patients with Lynch syndrome. Journal of human genetics. 2021.05; ( PubMed, DOI )
  4. Niida A, Mimori K, Shibata T, Miyano S. Modeling colorectal cancer evolution. Journal of human genetics. 2021.05; ( PubMed, DOI )
  5. Ochi Y, Yoshida K, Huang YJ, Kuo MC, Nannya Y, Sasaki K, Mitani K, Hosoya N, Hiramoto N, Ishikawa T, Branford S, Shanmuganathan N, Ohyashiki K, Takahashi N, Takaku T, Tsuchiya S, Kanemura N, Nakamura N, Ueda Y, Yoshihara S, Bera R, Shiozawa Y, Zhao L, Takeda J, Watatani Y, Okuda R, Makishima H, Shiraishi Y, Chiba K, Tanaka H, Sanada M, Takaori-Kondo A, Miyano S, Ogawa S, Shih LY. Clonal evolution and clinical implications of genetic abnormalities in blastic transformation of chronic myeloid leukaemia. Nature communications. 2021.05; 12 (1): 2833. ( PubMed, DOI )
  6. Yoshihiro Ishida, Nobuyuki Kakiuchi, Kenichi Yoshida, Yoshikage Inoue, Hiroyuki Irie, Tatsuki R Kataoka, Masahiro Hirata, Takeru Funakoshi, Shigeto Matsushita, Hiroo Hata, Hiroshi Uchi, Yuki Yamamoto, Yasuhiro Fujisawa, Taku Fujimura, Ryunosuke Saiki, Kengo Takeuchi, Yuichi Shiraishi, Kenichi Chiba, Hiroko Tanaka, Atsushi Otsuka, Satoru Miyano, Kenji Kabashima, Seishi Ogawa. Unbiased Detection of Driver Mutations in Extramammary Paget Disease. Clin Cancer Res. 2021.03; 27 (6): 1756-1765. ( PubMed, DOI )
  7. Kazuyuki Shimada, Kenichi Yoshida, Yasuhiro Suzuki, Chisako Iriyama, Yoshikage Inoue, Masashi Sanada, Keisuke Kataoka, Masaaki Yuge, Yusuke Takagi, Shigeru Kusumoto, Yasufumi Masaki, Takahiko Ito, Yuichiro Inagaki, Akinao Okamoto, Yachiyo Kuwatsuka, Masahiro Nakatochi, Satoko Shimada, Hiroaki Miyoshi, Yuichi Shiraishi, Kenichi Chiba, Hiroko Tanaka, Satoru Miyano, Yusuke Shiozawa, Yasuhito Nannya, Asako Okabe, Kei Kohno, Yoshiko Atsuta, Koichi Ohshima, Shigeo Nakamura, Seishi Ogawa, Akihiro Tomita, Hitoshi Kiyoi. Frequent genetic alterations in immune checkpoint-related genes in intravascular large B-cell lymphoma. Blood. 2021.03; 137 (11): 1491-1502. ( PubMed, DOI )
  8. Chen Li, Jiale Qin, Keisuke Kuroyanagi, Lu Lu, Masao Nagasaki, Miyano Satoru. High-speed parameter search of dynamic biological pathways from time-course transcriptomic profiles using high-level Petri net. Biosystems. 2021.03; 201 104332. ( PubMed, DOI )
  9. Taeko Kaburagi, Genki Yamato, Norio Shiba, Kenichi Yoshida, Yusuke Hara, Ken Tabuchi, Yuichi Shiraishi, Kentaro Ohki, Manabu Sotomatsu, Hirokazu Arakawa, Hidemasa Matsuo, Akira Shimada, Tomohiko Taki, Nobutaka Kiyokawa, Daisuke Tomizawa, Keizo Horibe, Satoru Miyano, Takashi Taga, Souichi Adachi, Seishi Ogawa, Yasuhide Hayashi. Clinical significance of RAS pathway alterations in pediatric acute myeloid leukemia. Haematologica. 2021.03; Online ahead of print ( PubMed, DOI )
  10. Suzuki M, Kasajima R, Yokose T, Ito H, Shimizu E, Hatakeyama S, Yokoyama K, Yamaguchi R, Furukawa Y, Miyano S, Imoto S, Yoshioka E, Washimi K, Okubo Y, Kawachi K, Sato S, Miyagi Y. Comprehensive molecular analysis of genomic profiles and PD-L1 expression in lung adenocarcinoma with a high-grade fetal adenocarcinoma component. Translational lung cancer research. 2021.03; 10 (3): 1292-1304. ( PubMed, DOI )
  11. Akira Nishimura, Shinsuke Hirabayashi, Daisuke Hasegawa, Kenichi Yoshida, Yuichi Shiraishi, Miho Ashiarai, Yosuke Hosoya, Tohru Fujiwara, Hideo Harigae, Satoru Miyano, Seishi Ogawa, Atsushi Manabe. Acquisition of monosomy 7 and a RUNX1 mutation in Pearson syndrome. Pediatr Blood Cancer. 2021.02; 68 (2): e28799. ( PubMed, DOI )
  12. Nobutaka Ebata, Masashi Fujita, Shota Sasagawa, Kazuhiro Maejima, Yuki Okawa, Yutaka Hatanaka, Tomoko Mitsuhashi, Ayako Oosawa-Tatsuguchi, Hiroko Tanaka, Satoru Miyano, Toru Nakamura, Satoshi Hirano, Hidewaki Nakagawa. Molecular Classification and Tumor Microenvironment Characterization of Gallbladder Cancer by Comprehensive Genomic and Transcriptomic Analysis. Cancers (Basel). 2021.02; 13 (4): 733. ( PubMed, DOI )
  13. Kosuke Fujimoto, Yasumasa Kimura, Jessica R Allegretti, Mako Yamamoto, Yao-Zhong Zhang, Kotoe Katayama, Georg Tremmel, Yunosuke Kawaguchi, Masaki Shimohigoshi, Tetsuya Hayashi, Miho Uematsu, Kiyoshi Yamaguchi, Yoichi Furukawa, Yutaka Akiyama, Rui Yamaguchi, Sheila E Crowe, Peter B Ernst, Satoru Miyano, Hiroshi Kiyono, Seiya Imoto, Satoshi Uematsu. Functional Restoration of Bacteriomes and Viromes by Fecal Microbiota Transplantation. Gastroenterology. 2021.02; S0016-5085(21)00400-5 ( PubMed, DOI )
  14. Chantana Polprasert, Yasuhide Takeuchi, Hideki Makishima, Kitsada Wudhikarn, Nobuyuki Kakiuchi, Nichthida Tangnuntachai, Thamathorn Assanasen, Wimonmas Sitthi, Hamidah Muhamad, Panisinee Lawasut, Sunisa Kongkiatkamon, Udomsak Bunworasate, Koji Izutsu, Yuichi Shiraishi, Kenichi Chiba, Hiroko Tanaka, Satoru Miyano, Seishi Ogawa, Kenichi Yoshida, Ponlapat Rojnuckarin. Frequent mutations in HLA and related genes in extranodal NK/T cell lymphomas. Leuk Lymphoma. 2021.01; 62 (1): 95-103. ( PubMed, DOI )
  15. Heewon Park, Koji Maruhashi, Rui Yamaguchi, Seiya Imoto, Satoru Miyano. Correction: Global gene network exploration based on explainable artificial intelligence approach. PLoS One. 2021.01; 16 (1): e0246380. ( PubMed, DOI )
  16. Fumi Nakamura, Honoka Arai, Yasuhito Nannya, Motoshi Ichikawa, Shiho Furuichi, Fusako Nagasawa, Wataru Takahashi, Tomoyuki Handa, Yuko Nakamura, Hiroko Tanaka, Yuka Nakamura, Ko Sasaki, Satoru Miyano, Seishi Ogawa, Kinuko Mitani. Development of Philadelphia chromosome-negative acute myeloid leukemia with IDH2 and NPM1 mutations in a patient with chronic myeloid leukemia who showed a major molecular response to tyrosine kinase inhibitor therapy. Int J Hematol. 2021.01; Online ahead of print ( PubMed, DOI )
  17. Shunsuke Kimura, Masahiro Sekiguchi, Kentaro Watanabe, Mitsuteru Hiwatarai, Masafumi Seki, Kenichi Yoshida, Tomoya Isobe, Yusuke Shiozawa, Hiromichi Suzuki, Noriko Hoshino, Yasuhide Hayashi, Akira Oka, Satoru Miyano, Seishi Ogawa, Junko Takita. Association of high-risk neuroblastoma classification based on expression profiles with differentiation and metabolism. PLoS One. 2021.01; 16 (1): e0245526. ( PubMed, DOI )
  18. Shin-Ei Kudo, Yuta Kouyama, Yushi Ogawa, Katsuro Ichimasa, Tsuyoshi Hamada, Kazuki Kato, Koki Kudo, Takaaki Masuda, Hajime Otsu, Masashi Misawa, Yuichi Mori, Toyoki Kudo, Takemasa Hayashi, Kunihiko Wakamura, Hideyuki Miyachi, Naruhiko Sawada, Toshiro Sato, Tatsuhiro Shibata, Shigeharu Hamatani, Tetsuo Nemoto, Fumio Ishida, Atsushi Niida, Satoru Miyano, Masanobu Oshima, Shuji Ogino, Koshi Mimori. Depressed Colorectal Cancer: A New Paradigm in Early Colorectal Cancer. Clin Transl Gastroenterol. 2020.12; 11 (12): e00269. ( PubMed, DOI )
  19. Felix A Dingler, Meng Wang, Anfeng Mu, Christopher L Millington, Nina Oberbeck, Sam Watcham, Lucas B Pontel, Ashley N Kamimae-Lanning, Frederic Langevin, Camille Nadler, Rebecca L Cordell, Paul S Monks, Rui Yu, Nicola K Wilson, Asuka Hira, Kenichi Yoshida, Minako Mori, Yusuke Okamoto, Yusuke Okuno, Hideki Muramatsu, Yuichi Shiraishi, Masayuki Kobayashi, Toshinori Moriguchi, Tomoo Osumi, Motohiro Kato, Satoru Miyano, Etsuro Ito, Seiji Kojima, Hiromasa Yabe, Miharu Yabe, Keitaro Matsuo, Seishi Ogawa, Berthold Gottgens, Michael R G Hodskinson, Minoru Takata, Ketan J Patel. Two Aldehyde Clearance Systems Are Essential to Prevent Lethal Formaldehyde Accumulation in Mice and Humans. Mol Cell. 2020.12; 80 (6): 996-1012.e9.
  20. Takashi Kanamori, Masashi Sanada, Masaki Ri, Hiroo Ueno, Dai Nishijima, Takahiko Yasuda, Takuto Tachita, Tomoko Narita, Shigeru Kusumoto, Atsushi Inagaki, Rei Ishihara, Yuki Murakami, Nobuhiko Kobayashi, Yusuke Shiozawa, Kenichi Yoshida, Masahiro M Nakagawa, Yasuhito Nannya, Yuichi Shiraishi, Kenichi Chiba, Hiroko Tanaka, Satoru Miyano, Keizo Horibe, Hiroshi Handa, Seishi Ogawa, Shinsuke Iida. Genomic analysis of multiple myeloma using targeted capture sequencing in the Japanese cohort. Br J Haematol. 2020.12; 191 (5): 755-763. ( PubMed, DOI )
  21. Heewon Park, Rui Yamaguchi, Seiya Imoto, Satoru Miyano. Automatic sparse principal component analysis The Canadian J Statistics. 2020.12; Online ahead of print ( DOI )
  22. Felix A Dingler, Meng Wang, Anfeng Mu, Christopher L Millington, Nina Oberbeck, Sam Watcham, Lucas B Pontel, Ashley N Kamimae-Lanning, Frederic Langevin, Camille Nadler, Rebecca L Cordell, Paul S Monks, Rui Yu, Nicola K Wilson, Asuka Hira, Kenichi Yoshida, Minako Mori, Yusuke Okamoto, Yusuke Okuno, Hideki Muramatsu, Yuichi Shiraishi, Masayuki Kobayashi, Toshinori Moriguchi, Tomoo Osumi, Motohiro Kato, Satoru Miyano, Etsuro Ito, Seiji Kojima, Hiromasa Yabe, Miharu Yabe, Keitaro Matsuo, Seishi Ogawa, Berthold Gottgens, Michael R G Hodskinson, Minoru Takata, Ketan J Patel. Two Aldehyde Clearance Systems Are Essential to Prevent Lethal Formaldehyde Accumulation in Mice and Humans. Mol Cell. 2020.12; 80 (6): 996-1012.e9. ( PubMed, DOI )
  23. Heewon Park, Koji Maruhashi, Rui Yamaguchi, Seiya Imoto, Satoru Miyano. Global gene network exploration based on explainable artificial intelligence approach. PLoS One. 2020.11; 15 (11): e0241508. ( PubMed, DOI )
  24. Sachiko Ishida, Kumiko Kato, Masami Tanaka, Toshitaka Odamaki, Ryuichi Kubo, Eri Mitsuyama, Jin-Zhong Xiao, Rui Yamaguchi, Satoshi Uematsu, Seiya Imoto, Satoru Miyano. Genome-wide association studies and heritability analysis reveal the involvement of host genetics in the Japanese gut microbiota. Commun Biol. 2020.11; 3 (1): 686. ( PubMed, DOI )
  25. Hiromi Ogura, Shouichi Ohga, Takako Aoki, Taiju Utsugisawa, Hidehiro Takahashi, Asayuki Iwai, Kenichiro Watanabe, Yusuke Okuno, Kenichi Yoshida, Seishi Ogawa, Satoru Miyano, Seiji Kojima, Toshiyuki Yamamoto, Keiko Yamamoto-Shimojima, Hitoshi Kanno. Novel COL4A1 mutations identified in infants with congenital hemolytic anemia in association with brain malformations. Hum Genome Var. 2020.11; 7 (1): 42. ( PubMed, DOI )
  26. Matthew H Bailey, William U Meyerson, Lewis Jonathan Dursi, Liang-Bo Wang, Guanlan Dong, Wen-Wei Liang, Amila Weerasinghe, Shantao Li, Yize Li, Sean Kelso, Gordon Saksena, Kyle Ellrott, Michael C Wendl, David A Wheeler, Gad Getz, Jared T Simpson, Mark B Gerstein, Li Ding, PCAWG Consortium (Satoru Miyano, et al.). Author Correction: Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples. Nat Commun. 2020.11; 11 (1): 6232. ( PubMed, DOI )
  27. Hidemasa Matsuo, Kenichi Yoshida, Kana Nakatani, Yutarou Harata, Moe Higashitani, Yuri Ito, Yasuhiko Kamikubo, Yusuke Shiozawa, Yuichi Shiraishi, Kenichi Chiba, Hiroko Tanaka, Ai Okada, Yasuhito Nannya, June Takeda, Hiroo Ueno, Nobutaka Kiyokawa, Daisuke Tomizawa, Takashi Taga, Akio Tawa, Satoru Miyano, Manja Meggendorfer, Claudia Haferlach, Seishi Ogawa, Souichi Adachi. Fusion partner-specific mutation profiles and KRAS mutations as adverse prognostic factors in MLL-rearranged AML. Blood Adv. 2020.10; 4 (19): 4623-4631. ( PubMed, DOI )
  28. Yukiko Inagaki-Kawata, Kenichi Yoshida, Nobuko Kawaguchi-Sakita, Masahiro Kawashima, Tomomi Nishimura, Noriko Senda, Yusuke Shiozawa, Yasuhide Takeuchi, Yoshikage Inoue, Aiko Sato-Otsubo, Yoichi Fujii, Yasuhito Nannya, Eiji Suzuki, Masahiro Takada, Hiroko Tanaka, Yuichi Shiraishi, Kenichi Chiba, Yuki Kataoka, Masae Torii, Hiroshi Yoshibayashi, Kazuhiko Yamagami, Ryuji Okamura, Yoshio Moriguchi, Hironori Kato, Shigeru Tsuyuki, Akira Yamauchi, Hirofumi Suwa, Takashi Inamoto, Satoru Miyano, Seishi Ogawa, Masakazu Toi. Genetic and clinical landscape of breast cancers with germline BRCA1/2 variants. Commun Biol. 2020.10; 3 (1): 578. ( PubMed, DOI )
  29. Hiroo Ueno, Kenichi Yoshida, Yusuke Shiozawa, Yasuhito Nannya, Yuka Iijima-Yamashita, Nobutaka Kiyokawa, Yuichi Shiraishi, Kenichi Chiba, Hiroko Tanaka, Tomoya Isobe, Masafumi Seki, Shunsuke Kimura, Hideki Makishima, Masahiro M Nakagawa, Nobuyuki Kakiuchi, Keisuke Kataoka, Tetsuichi Yoshizato, Dai Nishijima, Takao Deguchi, Kentaro Ohki, Atsushi Sato, Hiroyuki Takahashi, Yoshiko Hashii, Sadao Tokimasa, Junichi Hara, Yoshiyuki Kosaka, Koji Kato, Takeshi Inukai, Junko Takita, Toshihiko Imamura, Satoru Miyano, Atsushi Manabe, Keizo Horibe, Seishi Ogawa, Masashi Sanada. Landscape of driver mutations and their clinical impacts in pediatric B-cell precursor acute lymphoblastic leukemia. Blood Adv. 2020.10; 4 (20): 5165-5173. ( PubMed, DOI )
  30. Shun Koyamaishi, Takuya Kamio, Akie Kobayashi, Tomohiko Sato, Ko Kudo, Shinya Sasaki, Rika Kanezaki, Daiichiro Hasegawa, Hideki Muramatsu, Yoshiyuki Takahashi, Yoji Sasahara, Hidefumi Hiramatsu, Harumi Kakuda, Miyuki Tanaka, Masataka Ishimura, Masanori Nishi, Akira Ishiguro, Hiromasa Yabe, Takeo Sarashina, Masaki Yamamoto, Yuki Yuza, Nobuyuki Hyakuna, Kenichi Yoshida, Hitoshi Kanno, Shouichi Ohga, Akira Ohara, Seiji Kojima, Satoru Miyano, Seishi Ogawa, Tsutomu Toki, Kiminori Terui, Etsuro Ito. Correction: Reduced-intensity conditioning is effective for hematopoietic stem cell transplantation in young pediatric patients with Diamond-Blackfan anemia. Bone Marrow Transplant. 2020.10; Online ahead of print ( PubMed, DOI )
  31. Takuya Moriyama, Seiya Imoto, Satoru Miyano, Rui Yamaguchi. Theoretical Foundation of the Performance of Phylogeny-Based Somatic Variant Detection Lecture Note in Bioinformatis. 2020.10; 12508 87-101. ( DOI )
  32. 奥田 瑠璃花, 南谷 泰仁, 越智 陽太郎, 蝶名林 和久, Creignou Maria, 牧島 秀樹, 竹田 淳恵, 昆 彩奈, 宮野 悟, 半田 寛, 千葉 滋, 大屋敷 一馬, Haferlach Torsten, Lindberg Eva, 小川 誠司. 骨髄異形成症候群におけるder(1;7)の民族的、臨床的、遺伝的特徴(Distinct ethnic, clinical, and genetic characteristics of der(1;7) in myelodysplastic syndromes) 日本癌学会総会記事. 2020.10; 79回 OE7-1. ( 医中誌 )
  33. Takanori Hasegawa, Shuto Hayashi, Eigo Shimizu, Shinichi Mizuno, Atsushi Niida, Rui Yamaguchi, Satoru Miyano, Hidewaki Nakagawa, Seiya Imoto. Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens. Bioinformatics. 2020.09; 36 (18): 4813-4816. ( PubMed, DOI )
  34. Shun Koyamaishi, Takuya Kamio, Akie Kobayashi, Tomohiko Sato, Ko Kudo, Shinya Sasaki, Rika Kanezaki, Daiichiro Hasegawa, Hideki Muramatsu, Yoshiyuki Takahashi, Yoji Sasahara, Hidefumi Hiramatsu, Harumi Kakuda, Miyuki Tanaka, Masataka Ishimura, Masanori Nishi, Akira Ishiguro, Hiromasa Yabe, Takeo Sarashina, Masaki Yamamoto, Yuki Yuza, Nobuyuki Hyakuna, Kenichi Yoshida, Hitoshi Kanno, Shouichi Ohga, Akira Ohara, Seiji Kojima, Satoru Miyano, Seishi Ogawa, Tsutomu Toki, Kiminori Terui, Etsuro Ito. Reduced-intensity conditioning is effective for hematopoietic stem cell transplantation in young pediatric patients with Diamond-Blackfan anemia. Bone Marrow Transplant. 2020.09; ( PubMed, DOI )
  35. Yasuo Kubota, Masafumi Seki, Tomoko Kawai, Tomoya Isobe, Misa Yoshida, Masahiro Sekiguchi, Shunsuke Kimura, Kentaro Watanabe, Aiko Sato-Otsubo, Kenichi Yoshida, Hiromichi Suzuki, Keisuke Kataoka, Yoichi Fujii, Yuichi Shiraishi, Kenichi Chiba, Hiroko Tanaka, Mitsuteru Hiwatari, Akira Oka, Yasuhide Hayashi, Satoru Miyano, Seishi Ogawa, Kenichiro Hata, Yukichi Tanaka, Junko Takita. Comprehensive genetic analysis of pediatric germ cell tumors identifies potential drug targets. Commun Biol. 2020.09; 3 (1): 544. ( PubMed, DOI )
  36. Kosuke Fujimoto, Yasumasa Kimura, Masaki Shimohigoshi, Takeshi Satoh, Shintaro Sato, Georg Tremmel, Miho Uematsu, Yunosuke Kawaguchi, Yuki Usui, Yoshiko Nakano, Tetsuya Hayashi, Koji Kashima, Yoshikazu Yuki, Kiyoshi Yamaguchi, Yoichi Furukawa, Masanori Kakuta, Yutaka Akiyama, Rui Yamaguchi, Sheila E Crowe, Peter B Ernst, Satoru Miyano, Hiroshi Kiyono, Seiya Imoto, Satoshi Uematsu. Metagenome Data on Intestinal Phage-Bacteria Associations Aids the Development of Phage Therapy against Pathobionts. Cell Host Microbe. 2020.09; 28 (3): 380-389.e9. ( PubMed, DOI )
  37. Matthew H Bailey, William U Meyerson, Lewis Jonathan Dursi, Liang-Bo Wang, Guanlan Dong, Wen-Wei Liang, Amila Weerasinghe, Shantao Li, Yize Li, Sean Kelso, , , Gordon Saksena, Kyle Ellrott, Michael C Wendl, David A Wheeler, Gad Getz, Jared T Simpson, Mark B Gerstein, Li Ding, . Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples. Nat Commun. 2020.09; 11 (1): 4748. ( PubMed, DOI )
  38. Constance H Li, Stephenie D Prokopec, Ren X Sun, Fouad Yousif, Nathaniel Schmitz, Paul C Boutros, PCAWG Consortium (Satoru Miyano, et al.). Sex differences in oncogenic mutational processes. Nat Commun. 2020.08; 11 (1): 4330. ( PubMed, DOI )
  39. Masahiro Sekiguchi, Masafumi Seki, Tomoko Kawai, Kenichi Yoshida, Misa Yoshida, Tomoya Isobe, Noriko Hoshino, Ryota Shirai, Mio Tanaka, Ryota Souzaki, Kentaro Watanabe, Yuki Arakawa, Yasuhito Nannya, Hiromichi Suzuki, Yoichi Fujii, Keisuke Kataoka, Yuichi Shiraishi, Kenichi Chiba, Hiroko Tanaka, Teppei Shimamura, Yusuke Sato, Aiko Sato-Otsubo, Shunsuke Kimura, Yasuo Kubota, Mitsuteru Hiwatari, Katsuyoshi Koh, Yasuhide Hayashi, Yutaka Kanamori, Mureo Kasahara, Kenichi Kohashi, Motohiro Kato, Takako Yoshioka, Kimikazu Matsumoto, Akira Oka, Tomoaki Taguchi, Masashi Sanada, Yukichi Tanaka, Satoru Miyano, Kenichiro Hata, Seishi Ogawa, Junko Takita. Integrated multiomics analysis of hepatoblastoma unravels its heterogeneity and provides novel druggable targets. NPJ Precis Oncol. 2020.07; 4 20. ( PubMed, DOI )
  40. Munmee Dutta, Hidewaki Nakagawa, Hiroaki Kato, Kazuhiro Maejima, Shota Sasagawa, Kaoru Nakano, Aya Sasaki-Oku, Akihiro Fujimoto, Raul Nicolas Mateos, Ashwini Patil, Hiroko Tanaka, Satoru Miyano, Takushi Yasuda, Kenta Nakai, Masashi Fujita. Whole genome sequencing analysis identifies recurrent structural alterations in esophageal squamous cell carcinoma. PeerJ. 2020.06; 8 e9294. ( PubMed, DOI )
  41. Yotaro Ochi, Ayana Kon, Toyonori Sakata, Masahiro M Nakagawa, Naotaka Nakazawa, Masanori Kakuta, Keisuke Kataoka, Haruhiko Koseki, Manabu Nakayama, Daisuke Morishita, Tatsuaki Tsuruyama, Ryunosuke Saiki, Akinori Yoda, Rurika Okuda, Tetsuichi Yoshizato, Kenichi Yoshida, Yusuke Shiozawa, Yasuhito Nannya, Shinichi Kotani, Yasunori Kogure, Nobuyuki Kakiuchi, Tomomi Nishimura, Hideki Makishima, Luca Malcovati, Akihiko Yokoyama, Kengo Takeuchi, Eiji Sugihara, Taka-Aki Sato, Masashi Sanada, Akifumi Takaori-Kondo, Mario Cazzola, Mineko Kengaku, Satoru Miyano, Katsuhiko Shirahige, Hiroshi I Suzuki, Seishi Ogawa. Combined Cohesin-RUNX1 Deficiency Synergistically Perturbs Chromatin Looping and Causes Myelodysplastic Syndromes. Cancer Discov. 2020.06; 10 (6): 836-853. ( PubMed, DOI )
  42. Yuki Saito, Junji Koya, Mitsugu Araki, Yasunori Kogure, Sumito Shingaki, Mariko Tabata, Marni B McClure, Kota Yoshifuji, Shigeyuki Matsumoto, Yuta Isaka, Hiroko Tanaka, Takanori Kanai, Satoru Miyano, Yuichi Shiraishi, Yasushi Okuno, Keisuke Kataoka. Landscape and function of multiple mutations within individual oncogenes. Nature. 2020.06; 582 (7810): 95-99. ( PubMed, DOI )
  43. Isidro Cortes-Ciriano, Jake June-Koo Lee, Ruibin Xi, Dhawal Jain, Youngsook L Jung, Lixing Yang, Dmitry Gordenin, Leszek J Klimczak, Cheng-Zhong Zhang, David S Pellman, Peter J Park, PCAWG Consortium (Satoru Miyano, et al.). Publisher Correction: Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing. Nat Genet. 2020.05; Online ahead of print ( PubMed, DOI )
  44. Minako Mori, Asuka Hira, Kenichi Yoshida, Hideki Muramatsu, Yusuke Okuno, Yuichi Shiraishi, Michiko Anmae, Jun Yasuda, Shu Tadaka, Kengo Kinoshita, Tomoo Osumi, Yasushi Noguchi, Souichi Adachi, Ryoji Kobayashi, Hiroshi Kawabata, Kohsuke Imai, Tomohiro Morio, Kazuo Tamura, Akifumi Takaori-Kondo, Masayuki Yamamoto, Satoru Miyano, Seiji Kojima, Etsuro Ito, Seishi Ogawa, Keitaro Matsuo, Hiromasa Yabe, Miharu Yabe, Minoru Takata. Pathogenic mutations identified by a multimodality approach in 117 Japanese Fanconi anemia patients. Haematologica. 2020.04; 105 (4): 1166-1167. ( PubMed, DOI )
  45. Yao-Zhong Zhang, Arda Akdemir, Georg Tremmel, Seiya Imoto, Satoru Miyano, Tetsuo Shibuya, Rui Yamaguchi. Nanopore basecalling from a perspective of instance segmentation. BMC Bioinformatics. 2020.04; 21 (Suppl 3): 136. ( PubMed, DOI )
  46. Shunsuke Kimura, Masafumi Seki, Tomoko Kawai, Hiroaki Goto, Kenichi Yoshida, Tomoya Isobe, Masahiro Sekiguchi, Kentaro Watanabe, Yasuo Kubota, Yasuhito Nannya, Hiroo Ueno, Yusuke Shiozawa, Hiromichi Suzuki, Yuichi Shiraishi, Kentaro Ohki, Motohiro Kato, Katsuyoshi Koh, Ryoji Kobayashi, Takao Deguchi, Yoshiko Hashii, Toshihiko Imamura, Atsushi Sato, Nobutaka Kiyokawa, Atsushi Manabe, Masashi Sanada, Marc R Mansour, Akira Ohara, Keizo Horibe, Masao Kobayashi, Akira Oka, Yasuhide Hayashi, Satoru Miyano, Kenichiro Hata, Seishi Ogawa, Junko Takita. DNA methylation-based classification reveals difference between pediatric T-cell acute lymphoblastic leukemia and normal thymocytes. Leukemia. 2020.04; 34 (4): 1163-1168. ( PubMed, DOI )
  47. Atsushi Niida, Takanori Hasegawa, Hideki Innan, Tatsuhiro Shibata, Koshi Mimori, Satoru Miyano. A unified simulation model for understanding the diversity of cancer evolution. PeerJ. 2020.04; 8 e8842. ( PubMed, DOI )
  1. Satoru Miyano. Digesting Cancer Big Networks by Explainable AI and Supercomputers. The 3rd R-CCS International Symposium (R-CCSIS'21) 2021.02.16 Online
  2. 渡邉 健太郎, 加登 翔太, 磯部 知弥, 緒方 瑛人, 田坂 佳資, 上野 浩生, 南谷 泰仁, 田中 洋子, 白石 友一, 千葉 健一, 梅田 雄嗣, 樋渡 光輝, 宮野 悟, 小川 誠司, 滝田 順子. 小児・AYA腫瘍の最近の進歩　難治性骨肉腫における糖鎖遺伝子の役割と治療標的としての可能性. 第79回日本癌学会学術総会 2020.10.03 リーガロイヤルホテル広島
  3. 渡邉 健太郎、加登 翔太、磯部 知弥、緒方 瑛人、田坂 佳資、上 野 浩生、南谷 泰仁、田中 洋子、白石 友一、千葉 健一、梅田 雄嗣、樋渡 光輝、宮野 悟、小川 誠司、滝田 順子. 難治性骨肉腫における糖鎖遺伝子の役割と治療標的としての可能性. 2020.10.03 リーガロイヤルホテル広島
  4. 古川 洋一、山口 貴世志、笠島 理加、清水 英悟、高根 希世子、 山口 類、井元 清哉、宮野 悟、池上 恒雄. 消化管遺伝性腫瘍の最前線. 第79回日本癌学会学術総会 2020.10.03
  5. 宮野　悟. AIとがん研究・医療との対話 - がん研究・医療のための自然言語処理と説明可能 AI. 第79回日本癌学会学術総会 2020.10.02 リーガロイヤルホテル広島
  6. 垣内 伸之、内野 基、木原 多佳子、赤木 宏太朗、井上 善景、横 山 顕礼、平野 智紀、廣田 誠一、池内 浩基、竹内 理、宮野 悟、妹尾 浩、小川 誠司. 潰瘍性大腸炎における大腸上皮クローン進化から明らかとなった大腸 がんの脆弱性. 第79回日本癌学会学術総会 2020.10.02 リーガロイヤルホテル広島
  7. 井上 善景, 垣内 伸之, 吉田 健一, 塩澤 裕介, 竹内 康英, 千葉 健一, 吉里 哲一, 長山 聡, 宮野 悟, 坂井 義治, 小川 誠司. POLE遺伝子に変異を持つ大腸癌における免疫回避機構. 日本癌学会総会記事 2020.10.01
  8. 南谷 泰仁, 牧島 秀樹, 竹田 淳恵, 桃沢 幸秀, 佐伯 龍之介, 宮崎 泰司, 石川 隆之, 大屋敷 一馬, Hellstroem Lindberg Eva, Mario Cazzola, Torsten Haferlach, 鎌谷 洋一郎, 久保 充明, 宮野 悟, 小川 誠司. 骨髄系腫瘍におけるDDX41変異の意義. 日本癌学会総会記事 2020.10.01
  9. 古川 洋一, 山口 貴世志, 笠島 理加, 清水 英悟, 高根 希世子, 山口 類, 井元 清哉, 宮野 悟, 池上 恒雄. 遺伝性腫瘍-最新情報と今後の方向性　消化管遺伝性腫瘍の最前線. 日本癌学会総会記事 2020.10.01
  10. 垣内 伸之, 横山 顕礼, 内野 基, 木原 多佳子, 赤木 宏太朗, 井上 善景, 平野 智紀, 廣田 誠一, 池内 浩基, 竹内 理, 宮野 悟, 妹尾 浩, 小川 誠司. 遺伝子変異クローンによる食道および大腸組織の再構築の解明. 第79回日本癌学会学術総会 2020.10.01
  11. 笠島 理加, 鈴木 理樹, 清水 英悟, 玉田 嘉紀, 新井田 厚司, 山口 類, 井元 清哉, 古川 洋一, 宮野 悟, 横瀬 智之, 宮城 洋平. 胎児性肺癌における遺伝子ネットワーク解析. 日本癌学会総会記事 2020.10.01
  12. 大津 敬, 笠島 理加, 鷲見 公太, 廣島 幸彦, 片山 琴絵, 清水 英悟, 山口 類, 井元 清哉, 宮野 悟, 河村 大輔, 石川 俊平, 横瀬 智之, 比留間 徹, 宮城 洋平. 肉腫患者由来ゼノグラフトのRNA発現解析. 日本癌学会総会記事 2020.10.01
  13. 竹内 康英, 鈴木 啓道, 吉田 健一, 白石 友一, 垣内 伸之, 塩澤 裕介, 井上 善景, 千葉 健一, 牧島 秀樹, 宮野 悟, 羽賀 博典, Damm Frederik, 小川 誠司. 粘液線維肉腫にみられるTP53の異常と著明な遺伝的不安定性. 日本癌学会総会記事 2020.10.01
  14. 鎌谷 高志, 平田 真, 植田 幸嗣, 片山 琴絵, 山口 類, 松原 大祐, 藤田 征志, 高澤 豊, 山下 享子, 中村 卓郎, 井元 清哉, 宮野 悟, 中川 英刀, 松田 浩一, 角田 達彦. 粘液型脂肪肉腫におけるがん微小環境の免疫学的解析. 日本癌学会総会記事 2020.10.01
  15. 平野 智紀, 垣内 伸之, 竹内 康英, 増井 俊彦, 上本 伸二, 南口 早智子, 羽賀 博典, 白石 友一, 宮野 悟, 宇座 徳光, 児玉 裕三, 妹尾 浩, 千葉 勉, 小川 誠司. 異時性多発膵癌の遺伝子解析. 日本癌学会総会記事 2020.10.01
  16. 越智 陽太郎, 吉田 健一, 佐々木 光, 細谷 紀子, 塩澤 裕介, 南谷 泰仁, 石川 隆之, 白石 友一, 千葉 健一, 田中 洋子, 真田 昌, 牧島 秀樹, 高折 晃史, 宮野 悟, 三谷 絹子, 小川 誠司. 慢性骨髄性白血病急性転化の遺伝学的機序と予後. 日本癌学会総会記事 2020.10.01
  17. 竹田 淳恵, 吉田 健一, 依田 成玄, 南谷 泰仁, 中川 正宏, 越智 陽太郎, 昆 彩奈, 吉里 哲一, 塩澤 裕介, 白石 友一, 千葉 健一, 田中 洋子, 真田 昌, 宮野 悟, 牧島 秀樹, 小川 誠司. 急性赤白血病におけるJAK阻害剤の検討. 日本癌学会総会記事 2020.10.01
  18. 土方 康基, 横山 和明, 山口 貴世志, 池上 恒雄, 山口 類, 井元 清哉, 内丸 薫, 宮野 悟, 四柳 宏, 東條 有伸, 古川 洋一. 当院における標準治療不応進行がん患者を対象としたクリニカルシーケンスの検討. 日本癌学会総会記事 2020.10.01
  19. 垣内 伸之, 内野 基, 木原 多佳子, 赤木 宏太朗, 井上 善景, 横山 顕礼, 平野 智紀, 廣田 誠一, 池内 浩基, 竹内 理, 宮野 悟, 妹尾 浩, 小川 誠司. 大腸がんの診断・治療と発がん研究における新しい知見　潰瘍性大腸炎における大腸上皮クローン進化から明らかとなった大腸がんの脆弱性. 日本癌学会総会記事 2020.10.01
  20. 西村 友美, 垣内 伸之, 吉田 健一, 竹内 康英, 前田 紘奈, 塩澤 裕介, 平田 勝啓, 片岡 竜貴, 桜井 孝規, 馬場 郷子, 竹内 賢吾, 羽賀 博典, 宮野 悟, 戸井 雅和, 小川 誠司. 乳がん微小環境の特性と全身性応答、新しい治療展開　乳管上皮増殖性病変から乳癌へ至るクローン進化. 日本癌学会総会記事 2020.10.01
  21. 藤井 陽一, 佐藤 悠佑, 鈴木 啓道, 吉里 哲一, 垣内 伸之, 吉田 健一, 千葉 健一, 白石 友一, 西松 寛明, 岡根谷 利一, 真田 昌, 南谷 泰仁, 牧島 秀樹, 宮野 悟, 久米 春喜, 小川 誠司. 上部尿路上皮癌の分子分類と新規バイオマーカー. 日本癌学会総会記事 2020.10.01
  22. 関口 昌央, 関 正史, 吉田 健一, 田中 水緒, 白井 了太, 宗崎 良太, 白石 友一, 樋渡 光輝, 加藤 元博, 田口 智章, 田中 祐吉, 宮野 悟, 小川 誠司, 滝田 順子. マルチオミックス解析による肝芽腫の治療標的NQO1、ODC1の同定. 日本癌学会総会記事 2020.10.01
  23. 小笠原 辰樹, 藤井 陽一, 塩澤 裕介, 牧島 秀樹, 中村 英二郎, 田中 知明, 白石 友一, 宮野 悟, 小川 誠司. チアノーゼ性先天性心疾患に伴う多発パラガングリオーマは異なるHIF2α変異を伴う平行進化を示した. 日本癌学会総会記事 2020.10.01
  24. 佐伯 龍之介, 吉里 哲一, 白石 友一, 千葉 健一, 田中 洋子, 松田 浩一, 村上 善則, 久保 充明, 宮野 悟, 牧島 秀樹, 小川 誠司. クローン造血における遺伝子変異とコピー数異常の統合解析. 日本癌学会総会記事 2020.10.01
  25. 藤田 征志, 山口 類, 有廣 光司, 島田 周, 宮野 悟, 山上 裕機, 茶山 一彰, 垣見 和宏, 田中 真二, 井元 清哉, 中川 英刀. がん免疫ゲノム解析　肝臓がんの免疫ゲノム解析. 日本癌学会総会記事 2020.10.01
  26. 藤田 征志、山口 類、有廣 光司、島田 周、宮野 悟、山上 裕 機、茶山 一彰、垣見 和宏、田中 真二、井元 清哉2、中川 英刀. 肝臓がんの免疫ゲノム解析. 第79回日本癌学会学術総会 2020.10.01 リーガロイヤルホテル広島
  27. 前田 紘奈、垣内 伸之、平野 智紀、竹内 康英、伊藤 孝司、 小川 絵里、塩川 雅広、宇座 徳光、田中 洋子、南谷 泰仁、牧 島 秀樹、上本 伸二、宮野 悟、小川 誠司. 慢性炎症に伴う胆管上皮におけるクローン拡大. 第79回日本癌学会学術総会 2020.10.01 リーガロイヤルホテル広島
  28. Satoru Miyano. Cancer Big Data Challenges from Genomes to Networks. The 24th International Conference on Research in Computational Molecular Biology (RECOBM 2020) 2020.06.23 Online
  29. Nobuyuki Kakiuchi, Kenichi Yoshida, Motoi Uchino, Takako Kihara, Akaki Kotaro, Yoshikage Inoue, Kenji Kawada, Satoshi Nagayama, Akira Yokoyama, Tomonori Hirano, Yasuhide Takeuchi, Hiroyuki Miyoshi, Yoshiharu Sakai, Hironori Haga, Seiichi Hirota, Hiroki Ikeuchi, Osamu Takeuchi, Satoru Miyano, Hiroshi Seno, Seishi Ogawa. Analysis of clonal expansion in epithelium affected by ulcerative colitis reveals frequent mutations affecting IL-17 signaling pathway and novel cancer vulnerability. AACR Annual Meeting 2020 2020.04.27 Online, Philadelphia, USA
  30. Hirano Tomonori, Nobuyuki Kakiuchi, Yasuhide Takeuchi, Yoshikage Inoue, Tomomi Nishimura, Yoichi Fujii, Akira Yokoyama, Hideki Makishima, Toshihiko Masui, Shinji Uemoto, Sachiko Minamiguchi, Hironori Haga, Kenichi Chiba, Hiroko Tanaka, Yuichi Shiraishi, Satoru Miyano, Norimitsu Uza, Yuzo Kodama, Hiroshi Seno, Seishi Ogawa. Genetic analysis of metachronous pancreatic cancers. AACR Annual Meeting 2020 2020.04.27 Online, Philadelphia, USA
  31. Yoichi Fujii, Yusuke Sato, Hiromichi Suzuki, Tetsuichi Yoshizato, Kenichi Yoshida, Yuichi Shiraishi, Taketo Kawai, Tohru Nakagawa, Hiroaki Nishimatsu, Toshikazu Nishimatsu, Masashi Sanada, Hideki Makishima, Satoru Miyano, Haruki Kume, Seishi Ogawa. Distinct molecular subtypes and a high diagnostic urinary biomarker of upper urinary tract urothelial carcinoma. AACR Annual Meeting 2020 2020.04.27 Online, Philadelphia, USA
  32. Yoshikage Inoue, Nobuyuki Kakiuchi, Kenichi Yoshida, Yasuhide Takeuchi, Yusuke Shiozawa, Yuichi Shiraishi, Kenichi Chiba, Tetsuichi Yoshizato, Hiroko Tanaka, Ai Okada, Satoshi Nagayama, Satoru Miyano, Yoshiharu Sakai, Seishi Ogawa. Frequent genomic alterations to evade the immune system in colorectal cancer with POLE gene mutation. AACR Annual Meeting 2020 2020.04.27 Online, Philadelphia, USA
  33. Yasuhide Takeuchi, Annegret Kunitz, Adriane Halik, Hiromichi Suzuki, Kenichi Yoshida, Yuichi Shiraishi, Kenichi Chiba, Hiroko Tanaka, Nobuyuki Kakiuchi, Yusuke Shiozawa, Akira Yokoyama, Yoshikage Inoue, Tetsuichi Yoshizato, Kosuke Aoki, Yoichi Fujii, Yasuhito Nannya, Hideki Makishima, Satoru Miyano, Hironori Haga, Frederik Damm, Seishi Ogawa. Frequent abnormalities in TP53 and increased genetic instability in myxofibrosarcoma. AACR Annual Meeting 2020 2020.04.27 Online, Philadelphia, USA
  1. 第16回ヘルシーソサエティ賞（パイオニア部門），ヘルシー・ソサエティ賞事務局，2020年11月

Major Past Research Achievements

※Bold belong to this field

  1. ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium. Pan-cancer analysis of whole genomes. Nature. 578(7793):82-93, 2020.
  2. Kakiuchi N, Yoshida K, Uchino M, Kihara T, Akaki K, Inoue Y, Kawada K, Nagayama S, Yokoyama A, Yamamoto S, Matsuura M, Horimatsu T, Hirano T, Goto N, Takeuchi Y, Ochi Y, Shiozawa Y, Kogure Y, Watatani Y, Fujii Y, Kim SK, Kon A, Kataoka K, Yoshizato T, MM Nakagawa, Yoda A, Nannya Y, Makishima H, Shiraishi Y, Chiba K, Tanaka H, Sanada M, Sugihara E, Sato T, Maruyama T, Miyoshi H, Taketo MM, Oishi J, Inagaki R, Ueda Y, Okamoto S, Okajima H, Sakai Y, Sakurai T, Haga H, Hirota S, Ikeuchi H, Nakase H, Marusawa H, Chiba T, Takeuchi O, Miyano S, Seno H, Ogawa S. Frequent mutations converging into NFKBIZ signalling in ulcerative colitis. Nature. 577:260–265, 2020.
  3. Ochi Y, Kon A, Sakata T, Nakagawa MM, Nakazawa N, Kakuta M, Kataoka K, Koseki H, Nakayama M, Morishita D, Tsuruyama T, Saiki R, Yoda A, Okuda R, Yoshizato T, Yoshida K, Shiozawa Y, Nannya Y, Kotani S, Kogure Y, Kakiuchi N, Nishimura T, Makishima H, Malcovati L, Yokoyama A, Takeuchi K, Sugihara E, Sato TA, Sanada M, Takaori-Kondo A, Cazzola M, Kengaku M, Miyano S, Shirahige K, Suzuki HI, Ogawa S. Combined cohesin-Runx1 deficiency synergistically perturbs chromatin looping and causes myelodysplastic syndromes. Cancer Discov. pii: CD-19-0982. doi: 10.1158/2159-8290, 2020.
  4. Yokoyama A, Kakiuchi N, Yoshizato T, Nannya Y, Suzuki H, Takeuchi Y, Shiozawa Y, Sato Y, Aoki K, Kim SK, Fujii Y, Yoshida K, Kataoka K, Nakagawa MM, Inoue Y, Hirano T, Shiraishi Y, Chiba K, Tanaka H, Sanada M, Nishikawa Y, Amanuma Y, Ohashi S, Aoyama I, Horimatsu T, Miyamoto S, Tsunoda S, Sakai Y, Narahara M, Brown JB, Sato Y, Sawada G, Mimori K, Minamiguchi S, Haga H, Seno H, Miyano S, Makishima H, Muto M, Ogawa S. Age-related remodelling of oesophageal epithelia by mutated cancer drivers. Nature. 565(7739):312-317, 2019.
  5. Okuno Y, Murata T, Sato Y, Muramatsu H, Ito Y, Watanabe T, Okuno T, Murakami N, Yoshida K, Sawada A, Inoue M, Kawa K, Seto M, Ohshima K, Shiraishi Y, Chiba K, Tanaka H, Miyano S, Narita Y, Yoshida M, Goshima F, Kawada JI, Nishida T, Kiyoi H, Kato S, Nakamura S, Morishima S, Yoshikawa T, Fujiwara S, Shimizu N, Isobe Y, Noguchi M, Kikuta A, Iwatsuki K, Takahashi Y, Kojima S, Ogawa S, Kimura H. Defective Epstein-Barr virus in chronic active infection and haematological malignancy. Nature Microbiology. 4(3):404-413, 2019; Publisher Correction: Nature Microbiology. 2019 Mar;4(3):544.
  6. Matsuno Y, Atsumi Y, Shimizu A, Katayama K, Fujimori H, Hyodo M, Minakawa Y, Nakatsu Y, Kaneko S, Hamamoto R, Shimamura T, Miyano S, Tsuzuki T, Hanaoka F, Yoshioka KI. Replication stress triggers microsatellite destabilization and hypermutation leading to clonal expansion in vitro. Nature Commun. 10(1):3925, 2019.
  7. Kajino T, Shimamura T, Gong S, Yanagisawa K, Ida L, Nakatochi M, Griesing S, Shimada Y, Kano K, Suzuki M, Miyano S, Takahashi T. Divergent lncRNA MYMLR regulates MYC by eliciting DNA looping and promoter-enhancer interaction. EMBO J. 8(17):e98441, 2019.
  8. Saito T, Niida A, Uchi R, Hirata H, Komatsu H, Sakimura S, Hayashi S, Nambara S, Kuroda Y, Ito S, Eguchi H, Masuda T, Sugimachi K, Tobo T, Nishida H, Daa T, Chiba K, Shiraishi Y, Yoshizato T, Kodama M, Okimoto T, Mizukami K, Ogawa R, Okamoto K, Shuto M, Fukuda K, Matsui Y, Shimamura T, Hasegawa T, Doki Y, Nagayama S, Yamada K, Kato M, Shibata T, Mori M, Aburatani H, Murakami K, Suzuki Y, Ogawa S, Miyano S, Mimori K. A temporal shift of the evolutionary principle shaping intratumor heterogeneity in colorectal cancer. Nature Commun. 9(1):2884, 2018.
  9. Shiozawa Y, Malcovati L, Gallì A, Sato-Otsubo A, Kataoka K, Sato Y, Watatani Y, Suzuki H, Yoshizato T, Yoshida K, Sanada M, Makishima H, Shiraishi Y, Chiba K, Hellström-Lindberg E, Miyano S, Ogawa S, Cazzola M. Aberrant splicing and defective mRNA production induced by somatic spliceosome mutations in myelodysplasia. Nature Commun. 9(1):3649, 2018.
  10. da Silva-Coelho P, Kroeze LI, Yoshida K, Koorenhof-Scheele TN, Knops R, van de Locht LT, de Graaf AO, Massop M, Sandmann S, Dugas M, Stevens-Kroef MJ, Cermak J, Shiraishi Y, Chiba K, Tanaka H, Miyano S, de Witte T, Blijlevens NMA, Muus P, Huls G, van der Reijden BA, Ogawa S, Jansen JH. Clonal evolution in myelodysplastic syndromes. Nature Commun. 8:15099, 2017.
  11. Makishima H, Yoshizato T, Yoshida K, Sekeres MA, Radivoyevitch T, Suzuki H, Przychodzen B, Nagata Y, Meggendorfer M, Sanada M, Okuno Y, Hirsch C, Kuzmanovic T, Sato Y, Sato-Otsubo A, LaFramboise T, Hosono N, Shiraishi Y, Chiba K, Haferlach C, Kern W, Tanaka H, Shiozawa Y, Gómez-Seguí I, Husseinzadeh HD, Thota S, Guinta KM, Dienes B, Nakamaki T, Miyawaki S, Saunthararajah Y, Chiba S, Miyano S, Shih LY, Haferlach T, Ogawa S, Maciejewski JP. Dynamics of clonal evolution in myelodysplastic syndromes. Nature Genetics. 49(2):204-212, 2017.
  12. Seki M, Kimura S, Isobe T, Yoshida K, Ueno H, Nakajima-Takagi Y, Wang C, Lin L, Kon A, Suzuki H, Shiozawa Y, Kataoka K, Fujii Y, Shiraishi Y, Chiba K, Tanaka H, Shimamura T, Masuda K, Kawamoto H, Ohki K, Kato M, Arakawa Y, Koh K, Hanada R, Moritake H, Akiyama M, Kobayashi R, Deguchi T, Hashii Y, Imamura T, Sato A, Kiyokawa N, Oka A, Hayashi Y, Takagi M, Manabe A, Ohara A, Horibe K, Sanada M, Iwama A, Mano H, Miyano S, Ogawa S, Takita J. Recurrent SPI1 (PU.1) fusions in high-risk pediatric T cell acute lymphoblastic leukemia. Nature Genetics. 49(8):1274-1281, 2017.
  13. Fujimoto A, Furuta M, Totoki Y, Tsunoda T, Kato M, Shiraishi Y, Tanaka H, Taniguchi H, Kawakami Y, Ueno M, Gotoh K, Ariizumi S, Wardell CP, Hayami S, Nakamura T, Aikata H, Arihiro K, Boroevich KA, Abe T, Nakano K, Maejima K, Sasaki-Oku A, Ohsawa A, Shibuya T, Nakamura H, Hama N, Hosoda F, Arai Y, Ohashi S, Urushidate T, Nagae G, Yamamoto S, Ueda H, Tatsuno K, Ojima H, Hiraoka N, Okusaka T, Kubo M, Marubashi S, Yamada T, Hirano S, Yamamoto M, Ohdan H, Shimada K, Ishikawa O, Yamaue H, Chayama K, Miyano S, Aburatani H, Shibata T, Nakagawa H. Whole-genome mutational landscape and characterization of noncoding and structural mutations in liver cancer. Nature Genetics. 48(5):500-509, 2016. Erratum: Nature Genetics. 48(6):700. doi: 10.1038/ng0616-700a.
  14. Kataoka K, Shiraishi Y, Takeda Y, Sakata S, Matsumoto M, Nagano S, Maeda T, Nagata Y, Kitanaka A, Mizuno S, Tanaka H, Chiba K, Ito S, Watatani Y, Kakiuchi N, Suzuki H, Yoshizato T, Yoshida K, Sanada M, Itonaga H, Imaizumi Y, Totoki Y, Munakata W, Nakamura H, Hama N, Shide K, Kubuki Y, Hidaka T, Kameda T, Masuda K, Minato N, Kashiwase K, Izutsu K, Takaori-Kondo A, Miyazaki Y, Takahashi S, Shibata T, Kawamoto H, Akatsuka Y, Shimoda K, Takeuchi K, Seya T, Miyano S, Ogawa S. Aberrant PD-L1 expression through 3'-UTR disruption in multiple cancers. Nature. 534(7607):402-406, 2016.
  15. Fujimoto A, Furuta M, Shiraishi Y, Gotoh K, Kawakami Y, Arihiro K, Nakamura T, Ueno M, Ariizumi SI, Hai Nguyen H, Shigemizu D, Abe T, Boroevich KA, Nakano K, Sasaki A, Kitada R, Maejima K, Yamamoto Y, Tanaka H, Shibuya T, Shibata T, Ojima H, Shimada K, Hayami S, Shigekawa Y, Aikata H, Ohdan H, Marubashi S, Yamada T, Kubo M, Hirano S, Ishikawa O, Yamamoto M, Yamaue H, Chayama K, Miyano S, Tsunoda T, Nakagawa H. Whole-genome mutational landscape of liver cancers displaying biliary phenotype reveals hepatitis impact and molecular diversity. Nature Commun. 6:6120, 2015.
  16. Kataoka K, Nagata Y, Kitanaka A, Shiraishi Y, Shimamura T, Yasunaga J, Totoki Y, Chiba K, Sato-Otsubo A, Nagae G, Ishii R, Muto S, Kotani S, Watatani Y, Takeda J, Sanada M, Tanaka H, Suzuki H, Sato Y, Shiozawa Y, Yoshizato T, Yoshida K, Makishima H, Iwanaga M, Ma G, Nosaka K, Hishizawa M, Itonaga H, Imaizumi Y, Munakata W, Ogasawara H, Sato T, Sasai K, Muramoto K, Penova M, Kawaguchi T, Nakamura H, Hama N, Shide K, Kubuki Y, Hidaka T, Kameda T, Nakamaki T, Ishiyama K, Miyawaki S, Yoon SS, Tobinai K, Miyazaki Y, Takaori-Kondo A, Matsuda F, Takeuchi K, Nureki O, Aburatani H, Watanabe T, Shibata T, Matsuoka M, Miyano S, Shimoda K, Ogawa S. Integrated molecular analysis of adult T cell leukemia/lymphoma. Nature Genetics. 47(11):1304-1315, 2015.
  17. Madan V, Kanojia D, Li J, Okamoto R, Sato-Otsubo A, Kohlmann A, Sanada M, Grossmann V, Sundaresan J, Shiraishi Y, Miyano S, Thol F, Ganser A, Yang H, Haferlach T, Ogawa S, Koeffler HP. Aberrant splicing of U12-type introns is the hallmark of ZRSR2 mutant myelodysplastic syndrome. Nature Commun. 6:6042, 2015.
  18. Polprasert C, Schulze I, Sekeres MA, Makishima H, Przychodzen B, Hosono N, Singh J, Padgett RA, Gu X, Phillips JG, Clemente M, Parker Y, Lindner D, Dienes B, Jankowsky E, Saunthararajah Y, Du Y, Oakley K, Nguyen N, Mukherjee S, Pabst C, Godley LA, Churpek JE, Pollyea DA, Krug U, Berdel WE, Klein HU, Dugas M, Shiraishi Y, Chiba K, Tanaka H, Miyano S, Yoshida K, Ogawa S, Müller-Tidow C, Maciejewski JP. Inherited and somatic defects in DDX41 in myeloid neoplasms. Cancer Cell. 27(5):658-670, 2015.
  19. Seki M, Nishimura R, Yoshida K, Shimamura T, Shiraishi Y, Sato Y, Kato M, Chiba K, Tanaka H, Hoshino N, Nagae G, Shiozawa Y, Okuno Y, Hosoi H, Tanaka Y, Okita H, Miyachi M, Souzaki R, Taguchi T, Koh K, Hanada R, Kato K, Nomura Y, Akiyama M, Oka A, Igarashi T, Miyano S, Aburatani H, Hayashi Y, Ogawa S, Takita J. Integrated genetic and epigenetic analysis defines novel molecular subgroups in rhabdomyosarcoma. Nature Commun. 6:7557, 2015.
  20. Suzuki H, Aoki K, Chiba K, Sato Y, Shiozawa Y, Shiraishi Y, Shimamura T, Niida A, Motomura K, Ohka F, Yamamoto T, Tanahashi K, Ranjit M, Wakabayashi T, Yoshizato T, Kataoka K, Yoshida K, Nagata Y, Sato-Otsubo A, Tanaka H, Sanada M, Kondo Y, Nakamura H, Mizoguchi M, Abe T, Muragaki Y, Watanabe R, Ito I, Miyano S, Natsume A, Ogawa S. Mutational landscape and clonal architecture in grade II and III gliomas. Nature Genetics. 47(5):458-468, 2015.
  21. Yoshizato T, Dumitriu B, Hosokawa K, Makishima H, Yoshida K, Townsley D, Sato-Otsubo A, Sato Y, Liu D, Suzuki H, Wu CO, Shiraishi Y, Clemente MJ, Kataoka K, Shiozawa Y, Okuno Y, Chiba K, Tanaka H, Nagata Y, Katagiri T, Kon A, Sanada M, Scheinberg P, Miyano S, Maciejewski JP, Nakao S, Young NS, Ogawa S. Somatic mutations and clonal hematopoiesis in aplastic anemia. N Engl J Med. 373(1):35-47, 2015.
  22. Arima C, Kajino T, Tamada Y, Imoto S, Shimada Y, Nakatochi M, Suzuki M, Isomura H, Yatabe Y, Yamaguchi T, Yanagisawa K, Miyano S, Takahashi T. Lung adenocarcinoma subtypes definable by lung development-related miRNA expression profiles in association with clinicopathologic features. Carcinogenesis. 35(10): 2224-2231, 2014.
  23. Sakata-Yanagimoto M, Enami T, Yoshida K, Shiraishi Y, Ishii R, Miyake Y, Muto H, Tsuyama N, Sato-Otsubo A, Okuno Y, Sakata S, Kamada Y, Nakamoto-Matsubara R, Tran NB, Izutsu K, Sato Y, Ohta Y, Furuta J, Shimizu S, Komeno T, Sato Y, Ito T, Noguchi M, Noguchi E, Sanada M, Chiba K, Tanaka H, Suzukawa K, Nanmoku T, Hasegawa Y, Nureki O, Miyano S, Nakamura N, Takeuchi K, Ogawa S, Chiba S. Somatic RHOA mutation in angioimmunoblastic T cell lymphoma. Nature Genetics. 46(2):171-175, 2014.
  24. Sato Y, Maekawa S, Ishii R, Sanada M, Morikawa T, Shiraishi Y, Yoshida K, Nagata Y, Sato-Otsubo A, Yoshizato T, Suzuki H, Shiozawa Y, Kataoka K, Kon A, Aoki K, Chiba K, Tanaka H, Kume H, Miyano S, Fukayama M, Nureki O, Homma Y, Ogawa S. Recurrent somatic mutations underlie corticotropin-independent Cushing's syndrome. Science. 344(6186):917-920, 2014.
  25. Kon A, Shih LY, Minamino M, Sanada M, Shiraishi Y, Nagata Y, Yoshida K, Okuno Y, Bando M, Nakato R, Ishikawa S, Sato-Otsubo A, Nagae G, Nishimoto A, Haferlach C, Nowak D, Sato Y, Alpermann T, Nagasaki M, Shimamura T, Tanaka H, Chiba K, Yamamoto R, Yamaguchi T, Otsu M, Obara N, Sakata-Yanagimoto M, Nakamaki T, Ishiyama K, Nolte F, Hofmann WK, Miyawaki S, Chiba S, Mori H, Nakauchi H, Koeffler HP, Aburatani H, Haferlach T, Shirahige K, Miyano S, Ogawa S. Recurrent mutations in multiple components of the cohesin complex in myeloid neoplasms. Nature Genetics. 45(10):1232-1237, 2013.
  26. Makishima H, Yoshida K, Nguyen N, Przychodzen B, Sanada M, Okuno Y, Ng KP, Gudmundsson KO, Vishwakarma BA, Jerez A, Gomez-Segui I, Takahashi M, Shiraishi Y, Nagata Y, Guinta K, Mori H, Sekeres MA, Chiba K, Tanaka H, Muramatsu H, Sakaguchi H, Paquette RL, McDevitt MA, Kojima S, Saunthararajah Y, Miyano S, Shih LY, Du Y, Ogawa S, Maciejewski JP. Somatic SETBP1 mutations in myeloid malignancies. Nature Genetics. 45(8):942-946, 2013.
  27. Sakaguchi H, Okuno Y, Muramatsu H, Yoshida K, Shiraishi Y, Takahashi M, Kon A, Sanada M, Chiba K, Tanaka H, Makishima H, Wang X, Xu Y, Doisaki S, Hama A, Nakanishi K, Takahashi Y, Yoshida N, Maciejewski JP, Miyano S, Ogawa S, Kojima S. Exome sequencing identifies secondary mutations of SETBP1 and JAK3 in juvenile myelomonocytic leukemia. Nature Genetics. 45(8):937-941, 2013.
  28. Sato Y, Yoshizato T, Shiraishi Y, Maekawa S, Okuno Y, Kamura T, Shimamura T, Sato-Otsubo A, Nagae G, Suzuki H, Nagata Y, Yoshida K, Kon A, Suzuki Y, Chiba K, Tanaka H, Niida A, Fujimoto A, Tsunoda T, Morikawa T, Maeda D, Kume H, Sugano S, Fukayama M, Aburatani H, Sanada M, Miyano S, Homma Y, Ogawa S. Integrated molecular analysis of clear-cell renal cell carcinoma. Nature Genetics. 45(8):860-867, 2013.
  29. Yoshida K, Toki T, Okuno Y, Kanezaki R, Shiraishi Y, Sato-Otsubo A, Sanada M, Park MJ, Terui K, Suzuki H, Kon A, Nagata Y, Sato Y, Wang R, Shiba N, Chiba K, Tanaka H, Hama A, Muramatsu H, Hasegawa D, Nakamura K, Kanegane H, Tsukamoto K, Adachi S, Kawakami K, Kato K, Nishimura R, Izraeli S, Hayashi Y, Miyano S, Kojima S, Ito E, Ogawa S. The landscape of somatic mutations in Down syndrome-related myeloid disorders. Nature Genetics. 45:1293–1299, 2013. Erratum in: Nature Genetics. 45(12):1516, 2013.
  30. Yoshimaru T, Komatsu M, Matsuo T, Chen YA, Murakami Y, Mizuguchi K, Mizohata E, Inoue T, Akiyama M, Yamaguchi R, Imoto S, Miyano S, Miyoshi Y, Sasa M, Nakamura Y, Katagiri T. Targeting BIG3-PHB2 interaction to overcome tamoxifen resistance in breast cancer cells. Nature Commun. 4:2443, 2013.
  31. Fujimoto A, Totoki Y, Abe T, Boroevich KA, Hosoda F, Hai Nguyen H, Aoki M, Hosono N , Kubo M, Miya F, Arai Y, Takahashi H, Shirakihara T, Nagasaki M, Shibuya T, Nakano K, Watanabe-Makino K, Tanaka H, Nakamura H, Kusuda J, Ojima H , Shimada K, Okusaka T, Ueno M, Shigekawa Y, Kawakami Y, Arihiro K, Ohdan H, Gotoh K, Ishikawa O, Ariizumi S, Yamamoto M, Yamada T, Chayama K, Kosuge T, Yamaue H, Kamatani N, Miyano S, Nakagama H, Nakamura Y, Tsunoda T, Shibata T, Nakagawa H. Whole-genome sequencing of liver cancers identifies etiological influences on mutation patterns and recurrent mutations in chromatin regulators. Nature Genetics . 44(7):760-764, 2012 .
  32. Yoshida K, Sanada M, Shiraishi Y, Nowak D, Nagata Y, Yamamoto R, Sato Y, Sato-Otsubo A, Kon A, Nagasaki M, Chalkidis G, Suzuki Y, Shiosaka M, Kawahata R, Yamaguchi T, Otsu M, Obara N, Sakata-Yanagimoto M, Ishiyama K, Mori H, Nolte F, Hofmann WK, Miyawaki S, Sugano S, Haferlach C, Koeffler HP, Shih LY, Haferlach T, Chiba S, Nakauchi H, Miyano S, Ogawa S. 　 Frequent pathway mutations of splicing machinery in myelodysplasia. Nature. 478(7367): 64-69, 2011.
  33. Fujimoto A, Nakagawa H, Hosono N, Nakano K, Abe G, Boroevich KA, Nagasaki M, Yamaguchi R, Shibuya T, Kubo M, Miyano S, Nakamura Y, Tsunoda T. Whole-genome sequencing and comprehensive variant analysis of a Japanese individual using massively parallel sequencing. Nature Genetics. 42: 931–936, 2010.
  1. Fujita M, Yamaguchi R, Hasegawa T, Shimada S, Arihiro K, Hayashi S, Maejima K, Nakano K, Fujimoto A, Ono A, Aikata H, Ueno M, Hayami S, Tanaka H, Miyano S, Yamaue H, Chayama K, Kakimi K, Tanaka S, Imoto S, Nakagawa H. Classification of primary liver cancer with immunosuppression mechanisms and correlation with genomic alterations. EBioMedicine. 2020 Mar;53:102659. doi: 10.1016/j.ebiom.2020.102659.
  2. Fujimoto A, Fujita M, Hasegawa T, Wong JH, Maejima K, Oku-Sasaki A, Nakano K, Shiraishi Y, Miyano S, Yamamoto G, Akagi K, Imoto S, Nakagawa H. Comprehensive analysis of indels in whole-genome microsatellite regions and microsatellite instability across 21 cancer types. Genome Res. 2020 Mar 24. doi: 10.1101/gr.255026.119.
  3. Hasegawa T, Yamaguchi R, Kakuta M, Sawada K, Kawatani K, Murashita K, Nakaji S, Imoto S. Prediction of blood test values under different lifestyle scenarios using time-series electronic health record. PLoS One. 15(3):e0230172, 2020.
  4. Sato N, Kakuta M, Uchino E, Hasegawa T, Kojima R, Kobayashi W, Sawada K, Tamura Y, Tokuda I, Imoto S, Nakaji S, Murashita K, Yanagita M, Okuno Y. The relationship between cigarette smoking and the tongue microbiome in an East Asian population. J Oral Microbiol. 12(1):1742527, 2020.
  5. Sato N, Kakuta M, Hasegawa T, Yamaguchi R, Uchino E, Kobayashi W, Sawada K, Tamura Y, Tokuda I, Murashita K, Nakaji S, Imoto S, Yanagita M, Okuno Y. Metagenomic analysis of bacterial species in tongue microbiome of current and never smokers. NPJ Biofilms Microbiomes. 6(1):11, 2020.
  6. Misawa K, Hasegawa T, Mishima E, Jutabha P, Ouchi M, Kojima K, Kawai Y, Matsuo M, Anzai N, Nagasaki M. Contribution of rare variants of the SLC22A12 gene to the missing heritability of serum urate levels. Genetics. 214(4):1079-1090, 2020.
  7. Ito S, Yadome M, Nishiki T, Ishiduka S, Yamaguchi R, Miyano S. Virtual Grid Engine: A simulated grid engine environment for large-scale supercomputers. BMC Bioinformatics. 20(Suppl 16):591, 2019.
  8. Moriyama T, Imoto S, Hayashi S, Shiraishi Y, Miyano S, Yamaguchi R. A Bayesian model integration for mutation calling through data partitioning. Bioinformatics. 35(21):4247-4254, 2019.
  9. Hayashi S, Moriyama T, Yamaguchi R, Mizuno S, Komura M, Miyano S, Nakagawa H, Imoto S. ALPHLARD-NT: Bayesian method for human leukocyte antigen genotyping and mutation calling through simultaneous analysis of normal and tumor whole-genome sequence data. J Comput Biol. 26(9):923-937, 2019.
  10. Hayashi S, Yamaguchi R, Mizuno S, Komura M, Miyano S, Nakagawa H, Imoto S. ALPHLARD: a Bayesian method for analyzing HLA genes from whole genome sequence data. BMC Genomics. 19(1):790, 2018.
  11. Shiraishi Y, Kataoka K, Chiba K, Okada A, Kogure Y, Tanaka H, Ogawa S, Miyano S.　A comprehensive characterization of cis-acting splicing-associated variants in human cancer.　Genome Res. 28(8):1111-1125, 2018.
  12. Moriyama T, Shiraishi Y, Chiba K, Yamaguchi R, Imoto S, Miyano S. OVarCall: Bayesian mutation calling method utilizing overlapping paired-end reads. IEEE Trans Nanobioscience. 16(2): 116-122, 2017.
  13. Zhang YZ, Yamaguchi R, Imoto S, Miyano S. Sequence-specific bias correction for RNA-seq data using recurrent neural networks. BMC Genomics. 18(Suppl 1):1044, 2017.
  14. Zhang YZ, Imoto S, Miyano S, Yamaguchi R. Reconstruction of high read-depth signals from low-depth whole genome sequencing data using deep learning. BIBM 2017: 1227-1232, 2017.
  15. Hasegawa T, Kojima K, Kawai Y, Misawa K, Mimori T, Nagasaki M. AP-SKAT: highly-efficient genome-wide rare variant association test. BMC Genomics. 17(1):745, 2016.
  16. Kojima K, Kawai Y, Nariai N, Mimori T, Hasegawa T, Nagasaki M. Short tandem repeat number estimation from paired-end reads for multiple individuals by considering coalescent tree. BMC Genomics. 17 Suppl 5:494, 2016.
  17. Koshiba S, Motoike I, Kojima K, Hasegawa T, Shirota M, Saito T, Saigusa D, Danjoh I, Katsuoka F, Ogishima S, Kawai Y, Yamaguchi-Kabata Y, Sakurai M, Hirano S, Nakata J, Motohashi H, Hozawa A, Kuriyama S, Minegishi N, Nagasaki M, Takai-Igarashi T, Fuse N, Kiyomoto H, Sugawara J, Suzuki Y, Kure S, Yaegashi N, Tanabe O, Kinoshita K, Yasuda J, Yamamoto M. The structural origin of metabolic quantitative diversity. Sci Rep. 6:31463, 2016.
  18. Chiba K, Shiraishi Y, Nagata Y, Yoshida K, Imoto S, Ogawa S, Miyano S. Genomon ITDetector: A tool for somatic internal tandem duplication detection from cancer genome sequencing data. Bioinformatics. 31(1), 116-118, 2015.
  19. Ito S, Shiraishi Y, Shimamura T, Chiba K, Miyano S. High performance computing of a fusion gene detection pipeline on the K computer. BIBM 2015: 1441-1447, 2015.
  20. Shiraishi Y, Sato Y, Chiba K, Okuno Y, Nagata Y, Yoshida K, Shiba N, Hayashi Y, Kume H, Homma Y, Sanada M, Ogawa S, Miyano S. An empirical Bayesian framework for somatic mutation detection from cancer. Nucleic Acids Res. 41(7): e89, 2013.
  21. Niida A, Imoto S, Shimamura T, Miyano S. Statistical model-based testing to evaluate the recurrence of genomic aberrations. Bioinformatics. 28(12):i115-i120, 2012.
  22. Shiraishi U, Okada-Hatakeyama M, Miyano S. A rank-based statistical test for measuring synergistic effects between two gene sets. Bioinformatics. 27 (17): 2399-2405, 2011.
  1. Hasegawa T, Yamaguchi R, Niida A, Miyano S, Imoto S. Ensemble smoothers for inference of hidden states and parameters in combinatorial regulatory model. J Franklin Institute. (5):2916-2933, 2020.
  2. Niida A, Hasegawa T, Innan H, Shibata T, Mimori K, Miyano S. A unified simulation model for understanding the diversity of cancer evolution. PeerJ. 8:e8842, 2020.
  3. Niida A, Hasegawa T, Miyano S. Sensitivity analysis of agent-based simulation utilizing massively parallel computation and interactive data visualization. PLoS One. 14(3):e0210678, 2019.
  4. Park H, Yamada M, Imoto S, Miyano S. Robust sample-specific stability selection with effective error control. J Comput Biol. 26(3):202-217, 2019.
  5. Park H, Shimamura T, Imoto S, Miyano S. Adaptive NetworkProfiler for identifying cancer characteristic-specific gene regulatory networks. J Comput Biol. 25(2):130-145, 2018.
  6. Mimori K, Saito T, Niida A, Miyano S. Cancer evolution and heterogeneity. Ann Gastroenterol Surg. 2(5):332-338, 2018.
  7. Hasegawa T, Kojima K, Kawai Y, Nagasaki M. Time-series filtering for replicated observations via a kernel approximate Bayesian computation. IEEE Transactions on Signal Processing. 66(23):6148-6161, 2018.
  8. Niida A, Nagayama S, Miyano S, Mimori K. Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling. Cancer Sci. 109(4):884-892, 2018.
  9. Park H, Niida A, Imoto S, Miyano S. Interaction-based feature selection for uncovering cancer driver genes through copy number-driven expression level. J Comput Biol. 24(2):138-152, 2017.
  10. Park H, Shiraishi Y, Imoto S, Miyano S. A novel adaptive penalized logistic regression for uncovering biomarker associated with anti-cancer drug sensitivity. IEEE/ACM Trans Comput Biol Bioinform. 14(4):771-782, 2017.
  11. Matsui Y, Niida A, Uchi R, Mimori K, Miyano S, Shimamura T. phyC: Clustering cancer evolutionary trees. PLoS Comput Biol. 13(5):e1005509, 2017.
  12. Morita T, Rahman A, Hasegawa T, Ozaki A, Tanimoto T. The potential possibility of symptom checker. Int J Health Policy Manag. 6(10):615-616, 2017.
  13. Kurashige J, Hasegawa T, Niida A, Sugimachi K, Deng N, Mima K, Uchi R, Sawada G, Takahashi Y, Eguchi H, Inomata M, Kitano S, Fukagawa T, Sasako M, Sasaki H, Sasaki S, Mori M, Yanagihara K, Baba H, Miyano S, Tan P, Mimori K. Integrated molecular profiling of human gastric cancer identifies DDR2 as a potential regulator of peritoneal dissemination. Sci Rep. 6:22371, 2016.
  14. Hasegawa T, Mori T, Yamaguchi R, Shimamura T, Miyano S, Imoto S, Akutsu T. Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks. BMC Syst Biol. 9:14, 2015.
  15. Park H, Niida, A, Miyano S, Imoto S. Sparse overlapping group lasso for integrative multi-omics analysis. J Comput Biol. 22(2): 73-84, 2015.
  16. Park H, Imoto S, Miyano S. Recursive Random Lasso (RRLasso) for identifying anti-cancer drug targets. PLoS One. 10(11):e0141869, 2015.
  17. Nakata A, Yoshida R, Yamaguchi R, Yamauchi M, Tamada Y, Fujita A, Shimamura T, Imoto S, Higuchi T, Nomura M, Kimura T, Nokihara H, Higashiyama M, Kondoh K, Nishihara H, Tojo A, Yano S, Miyano S, Gotoh N. Elevated β-catenin pathway as a novel target for patients with resistance to EGF receptor targeting drugs. Sci Rep. 5:13076, 2015.
  18. Hasegawa T, Yamaguchi R, Nagasaki M, Miyano S, Imoto S. Inference of gene regulatory networks incorporating multi-source biological knowledge via a state space model with L1 regularization. PLoS One. 9(8):e105942, 2014.
  19. Hasegawa T, Nagasaki M, Yamaguchi R, Imoto S, Miyano S. An efficient method of exploring simulation models by assimilating literature and biological observational data. Biosystems. 121:54-66, 2014.
  20. Hasegawa T, Mori T, Yamaguchi R, Imoto S, Miyano S, Akutsu T. An efficient data assimilation schema for restoration and extension of gene regulatory networks using time-course observation data. J Comput Biol. 21(11):785-798, 2014.
  21. Park H, Shimamura T, Miyano S, Imoto S. Robust prediction of anti-cancer drug sensitivity and sensitivity-specific biomarker. PLoS One. 9(1): e108990, 2014.
  22. Yamauchi M, Yamaguchi R, Nakata A, Kohno T, Nagasaki M, Shimamura T, Imoto S, Saito A, Ueno K, Hatanaka Y, Yoshida R, Higuchi T, Nomura M, Beer DG, Yokota J, Miyano S, Gotoh N. Epidermal growth factor receptor tyrosine kinase defines critical prognostic genes of stage I lung adenocarcinoma. PLoS One. 7(9): e43923, 2012.
  23. Shimamura T, Imoto S, Shimada Y, Hosono Y, Niida A, Nagasaki M, Yamaguchi R, Takahashi T, Miyano S. A novel network profiling analysis reveals system changes in epithelial-mesenchymal transition. PLoS One. 6(6): e20804, 2011.
  24. Tamada Y, Imoto S, Miyano S. Parallel algorithm for learning optimal Bayesian network structure. J Machine Learning Research. 12: 2437-2459, 2011.
  25. Tamada Y, Imoto S, Araki H, Nagasaki M, Print C, Charnock-Jones DS, Miyano S. Estimating genome-wide gene networks using nonparametric Bayesian network models on massively parallel computers. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(3): 683 - 697, 2011. Tamada Y, Shimamura T, Yamaguchi R, Imoto S, Nagasaki M, Miyano S. SiGN: large-scale gene network estimation environment for high performance computing. Genome Informatics. 25: 40-52, 2011.
  26. Tamada Y, Yamaguchi R, Imoto S, Hirose O, Yoshida R, Nagasaki M, Miyano S. SiGN-SSM: open source parallel software for estimating gene networks with state space models. Bioinformatics. 27: 1172-1173, 2011.
  27. Kojima K, Perrier E, Imoto S, Miyano S. Optimal search on clustered structural constraint for learning Bayesian network structure. J Machine Learning Research. 11: 285−310, 2010.
  28. Yamaguchi R, Imoto S, Yamauchi M, Nagasaki M, Yoshida R, Shimamura T, Hatanaka Y, Ueno K, Higuchi T, Gotoh N, Miyano S. Predicting differences in gene regulatory systems by state space models. Genome Informatics. 21:101-113, 2008.
  29. Perrier E, Imoto S, Miyano S. Finding optimal Bayesian network given a super-structure. J Machine Learning Research. 9: 2251-2286, 2008.
  30. Yamaguchi R, Yoshida R, Imoto S, Higuchi T, Miyano S. Finding module-based gene networks with state-space models? Mining high-dimensional and short time-course gene expression data. IEEE Signal Processing Magazine. 24(1): 37-46, 2007.
  31. Imoto S, Tamada Y, Araki H, Yasuda K, Print CG, Charnock-Jones SD, Sanders D, Savoie CJ, Tashiro K, Kuhara S, Miyano S. Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles. Pacific Symposium on Biocomputing. 11: 559-571, 2006.
  32. Ott S, Hansen A, Kim S-Y, Miyano S. Superiority of network motifs over optimal networks and an application to the revelation of gene network evolution. Bioinformatics. 21(2): 227-238, 2005.
  33. Imoto S, Goto T, Miyano S. Estimation of genetic networks and functional structures between genes by using Bayesian network and nonparametric regression. Pacific Symposium on Biocomputing. 7:175-186, 2002.
  1. Anderson WP; Global Life Science Data Resources Working Group: Apweiler R, Bateman A, Bauer GA, Berman H, Blake JA, Blomberg N, Burley SK, Cochrane G, Di Francesco V, Donohue T, Durinx C, Game A, Green E, Gojobori T, Goodhand P, Hamosh A, Hermjakob H, Kanehisa M, Kiley R, McEntyre J, McKibbin R, Miyano S, Pauly B, Perrimon N, Ragan MA, Richards G, Teo YY, Westerfield M, Westhof E, Lasko PF. Data management: A global coalition to sustain core data. Nature. 543(7644):179, 2017.
AI and Big Data Research Department

Department of AI Technology Development

Medical Statistics and Mathematical Sciences Research Department

Department of Biostatistics

Data Science Algorithm Design and Analysis Department

Department of Data Science Algorithm Design and Analysis

Health Intelligence Department

Department of AI Systems Medicine