Tohoku University Tohoku Medical Megabank Organization (Hiroshi Tanaka)
2019.09.20

1.   Kuriyama Shinichi, Metoki Hirohito, Kikuya Masahiro, et al. Cohort Profile: Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study): Rationale, Progress and Perspective. International Journal of Epidemiology. 2019; : . doi:10.1093/ije/dyz169  
2.   Yasuda Jun, Kinoshita Kengo, Katsuoka Fumiki, et al. Genome analyses for the Tohoku Medical Megabank Project towards establishment of personalized healthcare. The Journal of Biochemistry. 2019; 165 (2): 139-158. doi:10.1093/jb/mvy096  
3.   Takai-Igarashi Takako, Kinoshita Kengo, Nagasaki Masao, et al. Security controls in an integrated Biobank to protect privacy in data sharing: rationale and study design. BMC Medical Informatics and Decision Making. 2017; 17 (1): 100. doi:10.1186/s12911-017-0494-5  
4.   Watanabe Ko, Tanaka Hiroshi, Takahashi Kensho, et al. NIRS-Based Language Learning BCI System. IEEE Sensors Journal. 2016; 16 (8): 2726-2734. doi:10.1109/JSEN.2016.2519886  
5.   Kuriyama Shinichi, Yaegashi Nobuo, Nagami Fuji, et al. The Tohoku Medical Megabank Project: Design and Mission. Journal of Epidemiology. 2016; 26 (9): 493-511. doi:10.2188/jea.JE20150268  
6.   Ogishima Soichi, Mizuno Satoshi, Kikuchi Masataka, et al. AlzPathway, an Updated Map of Curated Signaling Pathways: Towards Deciphering Alzheimer’s Disease Pathogenesis. Methods in molecular biology (Clifton, N.J.). 2016; 1303 : 423-432. doi:10.1007/978-1-4939-2627-5_25  
7.   Kikuchi Masataka, Ogishima Soichi, Mizuno Satoshi, et al. Network-Based Analysis for Uncovering Mechanisms Underlying Alzheimer’s Disease. Methods in molecular biology (Clifton, N.J.). 2016; 1303 : 479-491. doi:10.1007/978-1-4939-2627-5_29  
8.   Mizuno Satoshi, Ogishima Soichi, Kitatani Kazuyuki, et al. Network Analysis of a Comprehensive Knowledge Repository Reveals a Dual Role for Ceramide in Alzheimer's Disease. PloS one. 2016; 11 (2): e0148431. doi:10.1371/journal.pone.0148431  
9.   Mizuno Satoshi, Ogishima Soichi, Nishigori Hidekazu, et al. The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia. PLOS ONE. 2016; 11 (10): e0162828. doi:10.1371/journal.pone.0162828  
10.   Nagaie Satoshi, Ogishima Soichi, Nakaya Jun, Tanaka Hiroshi. A method to associate all possible combinations of genetic and environmental factors using GxE landscape plot. Bioinformation. 2015; 11 (3): 161-4. doi:10.6026/97320630011161  
11.   Sawai Hashime, Takai-Igarashi Takako, Tanaka Hiroshi. Identification of collaborative activities with oxidative phosphorylation in bipolar disorder. Bioinformation. 2015; 11 (4): 207-216. doi:10.6026/97320630011207  
12.   Ogishima Soichi, Tanaka Hiroshi, Nakaya Jun. Modularity in the evolution of yeast protein interaction network. Bioinformation. 2015; 11 (3): 127-30. doi:10.6026/97320630011127  
13.   Suzuki Asami, Takai-Igarashi Takako, Nakaya Jun, Tanaka Hiroshi. Development of an Ontology for Periodontitis. Journal of Biomedical Semantics. 2015; 6 (1): 30. doi:10.1186/s13326-015-0028-y  
14.   Tanaka Hiroshi, Ogishima Soichi. Network biology approach to epithelial-mesenchymal transition in cancer metastasis: three stage theory. Journal of molecular cell biology. 2015; 7 (3): 253-66. doi:10.1093/jmcb/mjv035  
15.   Arner E., Daub C. O., Vitting-Seerup K., et al. Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells. Science. 2015; 347 (6225): 1010-1014. doi:10.1126/science.1259418  
16.   Hori-Tanaka Yasuha, Yura Kei, Takai-Igarashi Takako, Tanaka Hiroshi. Structural classification of steroid-binding sites on proteins by coarse-grained atomic environment and its correlation with their biological function. Steroids. 2015; 96 : 81-88. doi:10.1016/j.steroids.2015.01.015  
17.   Ogishima Soichi, Takai Takako, Shimokawa Kazuro, et al. Integrated Database And Knowledge Base For Genomic Prospective Cohort Study In Tohoku Medical Megabank Toward Personalized Prevention And Medicine. Studies in health technology and informatics. 2015; 216 : 1057. doi:10.3233/978-1-61499-564-7-1057  
18.   Hase Takeshi, Kikuchi Kaito, Ghosh Samik, et al. Identification of drug-target modules in the human protein–protein interaction network. Artificial Life and Robotics. 2014; 19 (4): 406-413. doi:10.1007/s10015-014-0178-5  
19.   FANTOM Consortium and the RIKEN PMI and CLST (DGT) The FANTOM Consortium and the RIKEN PMI and CLST, Forrest Alistair R R, Kawaji Hideya, et al. A promoter-level mammalian expression atlas. Nature. 2014; 507 (7493): 462-70. doi:10.1038/nature13182  
20.   Nishio Yousuke, Ogishima Soichi, Ichikawa Masao, et al. Analysis of L-glutamic acid fermentation by using a dynamic metabolic simulation model of Escherichia coli. BMC systems biology. 2013; 7 (1): 92. doi:10.1186/1752-0509-7-92  
21.   Ogishima S, Mizuno S, Kikuchi M, et al. A map of Alzheimer's disease-signaling pathways: a hope for drug target discovery. Clinical pharmacology and therapeutics. 2013; 93 (5): 399-401. doi:10.1038/clpt.2013.37  
22.   Kikuchi Masataka, Ogishima Soichi, Miyamoto Tadashi, et al. Identification of unstable network modules reveals disease modules associated with the progression of Alzheimer's disease. PloS one. 2013; 8 (11): e76162. doi:10.1371/journal.pone.0076162  
23.   Suzuki Satoru, Takai-Igarashi Takako, Fukuoka Yutaka, et al. Systems analysis of inflammatory bowel disease based on comprehensive gene information. BMC Medical Genetics. 2012; 13 (1): 25. doi:10.1186/1471-2350-13-25  
24.   Böck Matthias, Ogishima Soichi, Tanaka Hiroshi, et al. Hub-centered gene network reconstruction using automatic relevance determination. PloS one. 2012; 7 (5): e35077. doi:10.1371/journal.pone.0035077