Tohoku University Tohoku Medical Megabank Organization (Seizo Koshiba)
2020.11.20

1.   Yokose Takahiro, Kabe Yasuaki, Matsuda Atsushi, et al. O-Glycan-Altered Extracellular Vesicles: A Specific Serum Marker Elevated in Pancreatic Cancer. Cancers. 2020; 12 (9): 2469. doi:10.3390/cancers12092469  
2.   Koshiba Seizo, Motoike Ikuko N., Saigusa Daisuke, et al. Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population. Communications Biology. 2020; 3 (1): 662. doi:10.1038/s42003-020-01383-5  
3.   Suzuki Takafumi, Uruno Akira, Yumoto Akane, et al. Nrf2 contributes to the weight gain of mice during space travel. Communications Biology. 2020; 3 (1): 496. doi:10.1038/s42003-020-01227-2  
4.   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. 2020; 49 (1): 18-19m. doi:10.1093/ije/dyz169  
5.   Kasai Takuma, Ono Shunsuke, Koshiba Seizo, et al. Amino-acid selective isotope labeling enables simultaneous overlapping signal decomposition and information extraction from NMR spectra. Journal of Biomolecular NMR. 2020; 74 (2-3): 125-137. doi:10.1007/s10858-019-00295-9  
6.   Sugawara Junichi, Ishikuro Mami, Obara Taku, et al. Maternal Baseline Characteristics and Perinatal Outcomes: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Journal of Epidemiology. 2020; : . doi:10.2188/jea.JE20200338  
7.   Hozawa Atsushi, Tanno Kozo, Nakaya Naoki, et al. Study Profile of the Tohoku Medical Megabank Community-Based Cohort Study. Journal of Epidemiology. 2020; : . doi:10.2188/jea.JE20190271  
8.   Shirota Matsuyuki, Saigusa Daisuke, Yamashita Riu, et al. Longitudinal plasma amino acid profiling with maternal genomic background throughout human pregnancy. Medical Mass Spectrometry. 2020; 4 (1): 36-49. doi:10.24508/mms.2020.06.001  
9.   Tadaka Shu, Hishinuma Eiji, Komaki Shohei, et al. jMorp updates in 2020: large enhancement of multi-omics data resources on the general Japanese population. Nucleic Acids Research. 2020; : . doi:10.1093/nar/gkaa1034  
10.   Nagai Koshi, Uranbileg Baasanjav, Chen Zhen, et al. Identification of novel biomarkers of hepatocellular carcinoma by high‐definition mass spectrometry: Ultrahigh‐performance liquid chromatography quadrupole time‐of‐flight mass spectrometry and desorption electrospray ionization mass spectrometry imaging. Rapid Communications in Mass Spectrometry. 2020; 34 (S1): rcm.8551. doi:10.1002/rcm.8551  
11.   Tsuboi Akito, Matsui Hiroyuki, Shiraishi Naru, et al. Design and Progress of Oral Health Examinations in the Tohoku Medical Megabank Project. The Tohoku Journal of Experimental Medicine. 2020; 251 (2): 97-115. doi:10.1620/tjem.251.97  
12.   Takahashi Yuta, Ueki Masao, Yamada Makoto, et al. Improved metabolomic data-based prediction of depressive symptoms using nonlinear machine learning with feature selection. Translational Psychiatry. 2020; 10 (1): 157. doi:10.1038/s41398-020-0831-9  
13.   Sugawara Junichi, Ochi Daisuke, Yamashita Riu, et al. Maternity Log study: a longitudinal lifelog monitoring and multiomics analysis for the early prediction of complicated pregnancy. BMJ Open. 2019; 9 (2): e025939. doi:10.1136/bmjopen-2018-025939  
14.   Wada Yoichi, Kikuchi Atsuo, Arai-Ichinoi Natsuko, et al. Biallelic GALM pathogenic variants cause a novel type of galactosemia. Genetics in Medicine. 2019; 21 (6): 1286-1294. doi:10.1038/s41436-018-0340-x  
15.   Yamaguchi-Kabata Yumi, Yasuda Jun, Uruno Akira, et al. Estimating carrier frequencies of newborn screening disorders using a whole-genome reference panel of 3552 Japanese individuals. Human Genetics. 2019; 138 (4): 389-409. doi:10.1007/s00439-019-01998-7  
16.   Tadaka Shu, Katsuoka Fumiki, Ueki Masao, et al. 3.5KJPNv2: an allele frequency panel of 3552 Japanese individuals including the X chromosome. Human Genome Variation. 2019; 6 (1): 28. doi:10.1038/s41439-019-0059-5  
17.   Sato Tomonori, Kawasaki Yoshihide, Maekawa Masamitsu, et al. Value of global metabolomics in association with diagnosis and clinicopathological factors of renal cell carcinoma. International Journal of Cancer. 2019; 145 (2): 484-493. doi:10.1002/ijc.32115  
18.   Saigusa Daisuke, Matsukawa Naomi, Tadaka Shu, et al. Metabolome Analysis of Human Plasma by GC-MS/MS in a Large-scale Cohort. Proteome Letters. 2019; 4 (1): 31-40. doi:10.14889/jpros.4.1_31  
19.   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  
20.   Koshiba Seizo, Motoike Ikuko, Saigusa Daisuke, et al. Omics research project on prospective cohort studies from the Tohoku Medical Megabank Project. Genes to Cells. 2018; 23 (6): 406-417. doi:10.1111/gtc.12588  
21.   Yamaguchi-Kabata Yumi, Yasuda Jun, Tanabe Osamu, et al. Evaluation of reported pathogenic variants and their frequencies in a Japanese population based on a whole-genome reference panel of 2049 individuals. Journal of Human Genetics. 2018; 63 (2): 213-230. doi:10.1038/s10038-017-0347-1  
22.   Tadaka Shu, Saigusa Daisuke, Motoike Ikuko N., et al. jMorp: Japanese Multi Omics Reference Panel. Nucleic Acids Research. 2018; 46 (D1): D551-D557. doi:10.1093/nar/gkx978  
23.   Sato Kota, Saigusa Daisuke, Saito Ritsumi, et al. Metabolomic changes in the mouse retina after optic nerve injury. Scientific Reports. 2018; 8 (1): 11930. doi:10.1038/s41598-018-30464-z  
24.   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  
25.   Saigusa Daisuke, Okamura Yasunobu, Motoike Ikuko N., et al. Establishment of Protocols for Global Metabolomics by LC-MS for Biomarker Discovery. PLOS ONE. 2016; 11 (8): e0160555. doi:10.1371/journal.pone.0160555  
26.   Koshiba Seizo, Motoike Ikuko, Kojima Kaname, et al. The structural origin of metabolic quantitative diversity. Scientific Reports. 2016; 6 (1): 31463. doi:10.1038/srep31463  
27.   Kasai Takuma, Koshiba Seizo, Yokoyama Jun, Kigawa Takanori. Stable isotope labeling strategy based on coding theory. Journal of Biomolecular NMR. 2015; 63 (2): 213-221. doi:10.1007/s10858-015-9978-8  
28.   Tochio Naoya, Umehara Takashi, Nakabayashi Kazuhiko, et al. Solution structures of the DNA-binding domains of immune-related zinc-finger protein ZFAT. Journal of Structural and Functional Genomics. 2015; 16 (2): 55-65. doi:10.1007/s10969-015-9196-3  
29.   Koizumi Taichi, Terada Tohru, Nakajima Ken-ichiro, et al. Identification of key neoculin residues responsible for the binding and activation of the sweet taste receptor. Scientific Reports. 2015; 5 (1): 12947. doi:10.1038/srep12947