Tohoku University Tohoku Medical Megabank Organization (Yuichi Aoki)
2025.05.01

1.   Kudo Hisaaki, Ishida Noriko, Nobukuni Takahiro, et al. Detection and Correction of Sample Misidentifications in a Biobank Using the MassARRAY System and Genomic Information. Biopreservation and Biobanking. 2024; 22 (4): 373-382. doi:10.1089/bio.2022.0211  
2.   Ikejiri Kazuaki, Suzuki Takafumi, Muto Satsuki, et al. Effects of NRF2 polymorphisms on safety and efficacy of bardoxolone methyl: subanalysis of TSUBAKI study. Clinical and Experimental Nephrology. 2024; 28 (3): 225-234. doi:10.1007/s10157-023-02427-w  
3.   Ishizawa Kota, Tamahara Toru, Suzuki Suguo, et al. Sequential Sampling of the Gastrointestinal Tract to Characterize the Entire Digestive Microbiome in Japanese Subjects. Microorganisms. 2024; 12 (7): 1324. doi:10.3390/microorganisms12071324  
4.   Tadaka Shu, Kawashima Junko, Hishinuma Eiji, et al. jMorp: Japanese Multi-Omics Reference Panel update report 2023. Nucleic Acids Research. 2024; 52 (D1): D622-D632. doi:10.1093/nar/gkad978  
5.   Sakurai Miyuki, Motoike Ikuko N., Hishinuma Eiji, et al. Identifying critical age and gender-based metabolomic shifts in a Japanese population of the Tohoku Medical Megabank cohort. Scientific Reports. 2024; 14 (1): 15681. doi:10.1038/s41598-024-66180-0  
6.   Aoki Yu-ichi, Taguchi Keiko, Anzawa Hayato, et al. Whole blood transcriptome analysis for age- and gender-specific gene expression profiling in Japanese individuals. The Journal of Biochemistry. 2024; 175 (6): 611-627. doi:10.1093/jb/mvae008  
7.   Oikawa Daiki, Fukui Kohei, Aoki Yuichi, et al. Enterocloster alcoholdehydrogenati sp. nov., a Novel Bacterial Species Isolated from the Feces of a Patient with Alcoholism. Current Microbiology. 2023; 80 (5): 187. doi:10.1007/s00284-023-03285-1  
8.   Tatara Yota, Yamazaki Hiromi, Katsuoka Fumiki, et al. Multiomics and artificial intelligence enabled peripheral blood-based prediction of amnestic mild cognitive impairment. Current Research in Translational Medicine. 2023; 71 (1): 103367. doi:10.1016/j.retram.2022.103367  
9.   Nakayasu Masaru, Takamatsu Kyoko, Kanai Keiko, et al. Tomato root-associated Sphingobium harbors genes for catabolizing toxic steroidal glycoalkaloids. mBio. 2023; 14 (5): . doi:10.1128/mbio.00599-23  
10.   Sakurai Nozomu, Yamazaki Shinichi, Suda Kunihiro, et al. The Thing Metabolome Repository family (XMRs): comparable untargeted metabolome databases for analyzing sample-specific unknown metabolites. Nucleic Acids Research. 2023; 51 (D1): D660-D677. doi:10.1093/nar/gkac1058  
11.   Matsuda Hinako, Yamazaki Yumi, Moriyoshi Eiko, et al. Apoplast-Localized β-Glucosidase Elevates Isoflavone Accumulation in the Soybean Rhizosphere. Plant And Cell Physiology. 2023; 64 (5): 486-500. doi:10.1093/pcp/pcad012  
12.   Takamatsu Kyoko, Toyofuku Miwako, Okutani Fuki, et al. α‐Tomatine gradient across artificial roots recreates the recruitment of tomato root‐associated Sphingobium. Plant Direct. 2023; 7 (12): . doi:10.1002/pld3.550  
13.   Ohira Hideo, Oikawa Daiki, Kurokawa Yoichi, et al. Suppression of colonic oxidative stress caused by chronic ethanol administration and attenuation of ethanol-induced colitis and gut leakiness by oral administration of sesaminol in mice. Food & Function. 2022; 13 (18): 9285-9298. doi:10.1039/D1FO04120G  
14.   Obayashi Takeshi, Hibara Himiko, Kagaya Yuki, et al. ATTED-II v11: A Plant Gene Coexpression Database Using a Sample Balancing Technique by Subagging of Principal Components. Plant and Cell Physiology. 2022; 63 (6): 869-881. doi:10.1093/pcp/pcac041  
15.   Saito Sakae, Aoki Yuichi, Tamahara Toru, et al. Oral Microbiome Analysis in Prospective Genome Cohort Studies of the Tohoku Medical Megabank Project. Frontiers in Cellular and Infection Microbiology. 2021; 10 : . doi:10.3389/fcimb.2020.604596  
16.   Mardani-Korrani Hossein, Nakayasu Masaru, Yamazaki Shinichi, et al. L-Canavanine, a Root Exudate From Hairy Vetch (Vicia villosa) Drastically Affecting the Soil Microbial Community and Metabolite Pathways. Frontiers in Microbiology. 2021; 12 : . doi:10.3389/fmicb.2021.701796  
17.   Ogishima Soichi, Nagaie Satoshi, Mizuno Satoshi, et al. dbTMM: an integrated database of large-scale cohort, genome and clinical data for the Tohoku Medical Megabank Project. Human Genome Variation. 2021; 8 (1): 44. doi:10.1038/s41439-021-00175-5  
18.   Shimasaki Tomohisa, Masuda Sachiko, Garrido-Oter Ruben, et al. Tobacco Root Endophytic Arthrobacter Harbors Genomic Features Enabling the Catabolism of Host-Specific Plant Specialized Metabolites. mBio. 2021; 12 (3): . doi:10.1128/mBio.00846-21  
19.   Otsuki Akihito, Okamura Yasunobu, Aoki Yuichi, et al. Identification of Dominant Transcripts in Oxidative Stress Response by a Full-Length Transcriptome Analysis. Molecular and Cellular Biology. 2021; 41 (2): 1-18. doi:10.1128/MCB.00472-20  
20.   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. 2021; 49 (D1): D536-D544. doi:10.1093/nar/gkaa1034  
21.   Waki Toshiyuki, Terashita Miho, Fujita Naoki, et al. Identification of the Genes Coding for Carthamin Synthase, Peroxidase Homologs that Catalyze the Final Enzymatic Step of Red Pigmentation in Safflower ( Carthamus tinctorius L.). Plant and Cell Physiology. 2021; 62 (10): 1528-1541. doi:10.1093/pcp/pcab122  
22.   Nakayasu Masaru, Ohno Kohei, Takamatsu Kyoko, et al. Tomato roots secrete tomatine to modulate the bacterial assemblage of the rhizosphere. Plant Physiology. 2021; 186 (1): 270-284. doi:10.1093/plphys/kiab069  
23.   Nakayasu Masaru, Yamazaki Shinichi, Aoki Yuichi, et al. Triterpenoid and Steroidal Saponins Differentially Influence Soil Bacterial Genera. Plants. 2021; 10 (10): 2189. doi:10.3390/plants10102189  
24.   Sakurai-Yageta Mika, Kumada Kazuki, Gocho Chinatsu, et al. Japonica Array NEO with increased genome-wide coverage and abundant disease risk SNPs. The Journal of Biochemistry. 2021; 170 (3): 399-410. doi:10.1093/jb/mvab060  
25.   Hishinuma Eiji, Shimada Muneaki, Matsukawa Naomi, et al. Wide-Targeted Metabolome Analysis Identifies Potential Biomarkers for Prognosis Prediction of Epithelial Ovarian Cancer. Toxins. 2021; 13 (7): 461. doi:10.3390/toxins13070461  
26.   Saigusa Daisuke, Motoike Ikuko N., Saito Sakae, et al. Impacts of NRF2 activation in non–small‐cell lung cancer cell lines on extracellular metabolites. Cancer Science. 2020; 111 (2): 667-678. doi:10.1111/cas.14278  
27.   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  
28.   Ishida Noriko, Aoki Yuichi, Katsuoka Fumiki, et al. Landscape of electrophilic and inflammatory stress-mediated gene regulation in human lymphoblastoid cell lines. Free Radical Biology and Medicine. 2020; 161 : 71-83. doi:10.1016/j.freeradbiomed.2020.09.023  
29.   Sakurai Nozomu, Mardani-Korrani Hossein, Nakayasu Masaru, et al. Metabolome Analysis Identified Okaramines in the Soybean Rhizosphere as a Legacy of Hairy Vetch. Frontiers in Genetics. 2020; 11 : . doi:10.3389/fgene.2020.00114  
30.   Waki Toshiyuki, Mameda Ryo, Nakano Takuya, et al. A conserved strategy of chalcone isomerase-like protein to rectify promiscuous chalcone synthase specificity. Nature Communications. 2020; 11 (1): 870. doi:10.1038/s41467-020-14558-9  
31.   Matsuda Hinako, Nakayasu Masaru, Aoki Yuichi, et al. Diurnal metabolic regulation of isoflavones and soyasaponins in soybean roots. Plant Direct. 2020; 4 (11): . doi:10.1002/pld3.286  
32.   Okutani Fuki, Hamamoto Shoichiro, Aoki Yuichi, et al. Rhizosphere modelling reveals spatiotemporal distribution of daidzein shaping soybean rhizosphere bacterial community. Plant, Cell & Environment. 2020; 43 (4): 1036-1046. doi:10.1111/pce.13708  
33.   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  
34.   Obayashi Takeshi, Kagaya Yuki, Aoki Yuichi, et al. COXPRESdb v7: a gene coexpression database for 11 animal species supported by 23 coexpression platforms for technical evaluation and evolutionary inference. Nucleic Acids Research. 2019; 47 (D1): D55-D62. doi:10.1093/nar/gky1155  
35.   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  
36.   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  
37.   Obayashi Takeshi, Aoki Yuichi, Tadaka Shu, et al. ATTED-II in 2018: A Plant Coexpression Database Based on Investigation of the Statistical Property of the Mutual Rank Index. Plant and Cell Physiology. 2018; 59 (1): e3-e3. doi:10.1093/pcp/pcx191  
38.   Aoki Yuichi, Okamura Yasunobu, Ohta Hiroyuki, et al. ALCOdb: Gene Coexpression Database for Microalgae. Plant and Cell Physiology. 2016; 57 (1): e3-e3. doi:10.1093/pcp/pcv190  
39.   Aoki Yuichi, Okamura Yasunobu, Tadaka Shu, et al. ATTED-II in 2016: A Plant Coexpression Database Towards Lineage-Specific Coexpression. Plant and Cell Physiology. 2016; 57 (1): e5-e5. doi:10.1093/pcp/pcv165  
40.   Okamura Yasunobu, Aoki Yuichi, Obayashi Takeshi, et al. COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems. Nucleic Acids Research. 2015; 43 (D1): D82-D86. doi:10.1093/nar/gku1163  
41.   Obayashi Takeshi, Okamura Yasunobu, Ito Satoshi, et al. ATTED-II in 2014: Evaluation of Gene Coexpression in Agriculturally Important Plants. Plant and Cell Physiology. 2014; 55 (1): e6-e6. doi:10.1093/pcp/pct178