Tohoku University Tohoku Medical Megabank Organization (Masayuki Yamamoto)
2020.11.20

1.   Otsuki Akihito, Yamamoto Masayuki. Cis-element architecture of Nrf2–sMaf heterodimer binding sites and its relation to diseases. Archives of Pharmacal Research. 2020; 43 (3): 275-285. doi:10.1007/s12272-019-01193-2  
2.   Yamaoka Ayaka, Suzuki Mikiko, Katayama Saori, et al. EVI1 and GATA2 misexpression induced by inv(3)(q21q26) contribute to megakaryocyte-lineage skewing and leukemogenesis. Blood Advances. 2020; 4 (8): 1722-1736. doi:10.1182/bloodadvances.2019000978  
3.   Hayashi Makiko, Kuga Ayumi, Suzuki Mikiko, et al. Microenvironmental activation of Nrf2 restricts the progression of Nrf2-activated malignant tumors. Cancer Research. 2020; : canres.2888.2019. doi:10.1158/0008-5472.CAN-19-2888  
4.   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  
5.   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  
6.   Matsunaga Hiroshi, Ito Kaoru, Akiyama Masato, et al. Transethnic Meta-Analysis of Genome-Wide Association Studies Identifies Three New Loci and Characterizes Population-Specific Differences for Coronary Artery Disease. Circulation: Genomic and Precision Medicine. 2020; 13 (3): . doi:10.1161/CIRCGEN.119.002670  
7.   Okuda Hiroshi, Okamoto Koji, Abe Michiaki, et al. Genome-wide association study identifies new loci for albuminuria in the Japanese population. Clinical and Experimental Nephrology. 2020; : . doi:10.1007/s10157-020-01884-x  
8.   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  
9.   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  
10.   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  
11.   Wagata Maiko, Kogure Mana, Nakaya Naoki, et al. Hypertensive disorders of pregnancy, obesity, and hypertension in later life by age group: a cross-sectional analysis. Hypertension Research. 2020; : . doi:10.1038/s41440-020-0463-8  
12.   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  
13.   Shimizu Ritsuko, Yamamoto Masayuki. Quantitative and qualitative impairments in GATA2 and myeloid neoplasms. IUBMB Life. 2020; 72 (1): 142-150. doi:10.1002/iub.2188  
14.   Suzuki Mikiko, Katayama Saori, Yamamoto Masayuki. Two effects of GATA2 enhancer repositioning by 3q chromosomal rearrangements. IUBMB Life. 2020; 72 (1): 159-169. doi:10.1002/iub.2191  
15.   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  
16.   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  
17.   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  
18.   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  
19.   Baird Liam, Suzuki Takafumi, Takahashi Yushi, et al. Geldanamycin-derived HSP90 Inhibitors are Synthetic Lethal with NRF2. Molecular and Cellular Biology. 2020; : . doi:10.1128/MCB.00377-20  
20.   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. 2020; : . doi:10.1128/MCB.00472-20  
21.   Uruno Akira, Matsumaru Daisuke, Ryoke Rie, et al. Nrf2 Suppresses Oxidative Stress and Inflammation in App Knock-In Alzheimer’s Disease Model Mice. Molecular and Cellular Biology. 2020; 40 (6): . doi:10.1128/MCB.00467-19  
22.   Baird Liam, Yamamoto Masayuki. NRF2-dependent bioactivation of mitomycin C as a novel strategy to target KEAP1-NRF2 pathway activation in human cancer. Molecular and Cellular Biology. 2020; : . doi:10.1128/MCB.00473-20  
23.   Baird Liam, Yamamoto Masayuki. The Molecular Mechanisms Regulating the KEAP1-NRF2 Pathway. Molecular and Cellular Biology. 2020; 40 (13): . doi:10.1128/MCB.00099-20  
24.   Pradas-Juni Marta, Hansmeier Nils R., Link Jenny C., et al. A MAFG-lncRNA axis links systemic nutrient abundance to hepatic glucose metabolism. Nature Communications. 2020; 11 (1): 644. doi:10.1038/s41467-020-14323-y  
25.   Ishigaki Kazuyoshi, Akiyama Masato, Kanai Masahiro, et al. Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases. Nature Genetics. 2020; 52 (7): 669-679. doi:10.1038/s41588-020-0640-3  
26.   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  
27.   Kojima Kaname, Tadaka Shu, Katsuoka Fumiki, et al. A genotype imputation method for de-identified haplotype reference information by using recurrent neural network. PLOS Computational Biology. 2020; 16 (10): e1008207. doi:10.1371/journal.pcbi.1008207  
28.   Shimizu Sunao, Mimura Junsei, Hasegawa Takanori, et al. Association of single nucleotide polymorphisms in the NRF2 promoter with vascular stiffness with aging. PLOS ONE. 2020; 15 (8): e0236834. doi:10.1371/journal.pone.0236834  
29.   Wagata Maiko, Ishikuro Mami, Obara Taku, et al. Low birth weight and abnormal pre-pregnancy body mass index were at higher risk for hypertensive disorders of pregnancy. Pregnancy Hypertension. 2020; 22 : 119-125. doi:10.1016/j.preghy.2020.08.001  
30.   Rashad Sherif, Saigusa Daisuke, Yamazaki Takahiro, et al. Metabolic basis of neuronal vulnerability to ischemia; an in vivo untargeted metabolomics approach. Scientific Reports. 2020; 10 (1): 6507. doi:10.1038/s41598-020-63483-w  
31.   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  
32.   Nagami Fuji, Kuriki Miho, Koreeda Sachie, et al. Public Relations and Communication Strategies in Construction of Large-Scale Cohorts and Biobank: Practice in the Tohoku Medical Megabank Project. The Tohoku Journal of Experimental Medicine. 2020; 250 (4): 253-262. doi:10.1620/tjem.250.253  
33.   Narita Akira, Nagai Masato, Mizuno Satoshi, et al. Clustering by phenotype and genome-wide association study in autism. Translational Psychiatry. 2020; 10 (1): 290. doi:10.1038/s41398-020-00951-x  
34.   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  
35.   Takahashi Yuta, Ueki Masao, Tamiya Gen, et al. Machine learning for effectively avoiding overfitting is a crucial strategy for the genetic prediction of polygenic psychiatric phenotypes. Translational Psychiatry. 2020; 10 (1): 294. doi:10.1038/s41398-020-00957-5  
36.   Saigusa Daisuke, Saito Ritsumi, Kawamoto Komei, et al. Conductive Adhesive Film Expands the Utility of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging. Analytical Chemistry. 2019; 91 (14): 8979-8986. doi:10.1021/acs.analchem.9b01159  
37.   Keleku-Lukwete Nadine, Suzuki Mikiko, Panda Harit, et al. Nrf2 activation in myeloid cells and endothelial cells differentially mitigates sickle cell disease pathology in mice. Blood Advances. 2019; 3 (8): 1285-1297. doi:10.1182/bloodadvances.2018017574  
38.   Sakurai-Yageta Mika, Kawame Hiroshi, Kuriyama Shinichi, et al. A training and education program for genome medical research coordinators in the genome cohort study of the Tohoku Medical Megabank Organization. BMC Medical Education. 2019; 19 (1): 297. doi:10.1186/s12909-019-1725-5  
39.   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  
40.   Harada Nobuhiko, Hasegawa Atsushi, Hirano Ikuo, et al. GATA 2 hypomorphism induces chronic myelomonocytic leukemia in mice. Cancer Science. 2019; 110 (4): 1183-1193. doi:10.1111/cas.13959  
41.   Suzuki Takafumi, Muramatsu Aki, Saito Ryota, et al. Molecular Mechanism of Cellular Oxidative Stress Sensing by Keap1. Cell Reports. 2019; 28 (3): 746-758.e4. doi:10.1016/j.celrep.2019.06.047  
42.   Kurosawa Ryo, Satoh Kimio, Kikuchi Nobuhiro, et al. Identification of Celastramycin as a Novel Therapeutic Agent for Pulmonary Arterial Hypertension. Circulation Research. 2019; 125 (3): 309-327. doi:10.1161/CIRCRESAHA.119.315229  
43.   Panda Harit, Keleku-Lukwete Nadine, Kuga Ayumi, et al. Dietary supplementation with sulforaphane attenuates liver damage and heme overload in a sickle cell disease murine model. Experimental Hematology. 2019; 77 : 51-60.e1. doi:10.1016/j.exphem.2019.08.001  
44.   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  
45.   Mori Minako, Hira Asuka, Yoshida Kenichi, et al. Pathogenic mutations identified by a multimodality approach in 117 Japanese Fanconi anemia patients. Haematologica. 2019; 104 (10): 1962-1973. doi:10.3324/haematol.2018.207241  
46.   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  
47.   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  
48.   Nagasaki Masao, Kuroki Yoko, Shibata Tomoko F., et al. Construction of JRG (Japanese reference genome) with single-molecule real-time sequencing. Human Genome Variation. 2019; 6 (1): 27. doi:10.1038/s41439-019-0057-7  
49.   Sakurai Rieko, Ueki Masao, Makino Satoshi, et al. Outlier detection for questionnaire data in biobanks. International Journal of Epidemiology. 2019; 48 (4): 1305-1315. doi:10.1093/ije/dyz012  
50.   Fuse Nobuo, Sakurai-Yageta Mika, Katsuoka Fumiki, et al. Establishment of Integrated Biobank for Precision Medicine and Personalized Healthcare: The Tohoku Medical Megabank Project. JMA Journal. 2019; 2 (2): 113-122. doi:10.31662/jmaj.2019-0014  
51.   Kiniwa Yukiko, Yasuda Jun, Saito Sakae, et al. Identification of genetic alterations in extramammary Paget disease using whole exome analysis. Journal of Dermatological Science. 2019; 94 (1): 229-235. doi:10.1016/j.jdermsci.2019.03.006  
52.   Katsuoka Fumiki, Otsuki Akihito, Takahashi Mizue, et al. Direct and Specific Functional Evaluation of the Nrf2 and MafG Heterodimer by Introducing a Tethered Dimer into Small Maf-Deficient Cells. Molecular and Cellular Biology. 2019; 39 (20): . doi:10.1128/MCB.00273-19  
53.   Akiyama Masato, Ishigaki Kazuyoshi, Sakaue Saori, et al. Characterizing rare and low-frequency height-associated variants in the Japanese population. Nature Communications. 2019; 10 (1): 4393. doi:10.1038/s41467-019-12276-5  
54.   Kikuchi Koichi, Saigusa Daisuke, Kanemitsu Yoshitomi, et al. Gut microbiome-derived phenyl sulfate contributes to albuminuria in diabetic kidney disease. Nature Communications. 2019; 10 (1): 1835. doi:10.1038/s41467-019-09735-4  
55.   Suzuki Ken, Akiyama Masato, Ishigaki Kazuyoshi, et al. Identification of 28 new susceptibility loci for type 2 diabetes in the Japanese population. Nature Genetics. 2019; 51 (3): 379-386. http://www.nature.com/articles/s41588-018-0332-4  
56.   Amano Yuji, Akazawa Yohei, Yasuda Jun, et al. A low-frequency IL4R locus variant in Japanese patients with intravenous immunoglobulin therapy-unresponsive Kawasaki disease. Pediatric Rheumatology. 2019; 17 (1): 34. doi:10.1186/s12969-019-0337-2  
57.   Miura Emiri, Tsuchiya Naho, Igarashi Yu, et al. Respiratory resistance among adults in a population-based cohort study in Northern Japan. Respiratory Investigation. 2019; 57 (3): 274-281. doi:10.1016/j.resinv.2018.12.008  
58.   Sato Koji, Hirano Ikuo, Sekine Hiroki, et al. An immortalized cell line derived from renal erythropoietin-producing (REP) cells demonstrates their potential to transform into myofibroblasts. Scientific Reports. 2019; 9 (1): 11254. doi:10.1038/s41598-019-47766-5  
59.   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  
60.   Mimori Takahiro, Yasuda Jun, Kuroki Yoko, et al. Construction of full-length Japanese reference panel of class I HLA genes with single-molecule, real-time sequencing. The Pharmacogenomics Journal. 2019; 19 (2): 136-146. doi:10.1038/s41397-017-0010-4  
61.   Minegishi Naoko, Nishijima Ichiko, Nobukuni Takahiro, et al. Biobank Establishment and Sample Management in the Tohoku Medical Megabank Project. The Tohoku Journal of Experimental Medicine. 2019; 248 (1): 45-55. doi:10.1620/tjem.248.45  
62.   Kuniyoshi Yasutaka, Kikuya Masahiro, Miyashita Masako, et al. Severity of eczema and mental health problems in Japanese schoolchildren: The ToMMo Child Health Study. Allergology International. 2018; 67 (4): 481-486. doi:10.1016/j.alit.2018.02.009  
63.   Watanabe Takashi, Saito Takahiro, Rico Evelyn Marie Gutiérrez, et al. Functional characterization of 40 CYP2B6 allelic variants by assessing efavirenz 8-hydroxylation. Biochemical Pharmacology. 2018; 156 : 420-430. doi:10.1016/j.bcp.2018.09.010  
64.   Yasuda Jun, Katsuoka Fumiki, Danjoh Inaho, et al. Regional genetic differences among Japanese populations and performance of genotype imputation using whole-genome reference panel of the Tohoku Medical Megabank Project. BMC Genomics. 2018; 19 (1): 551. doi:10.1186/s12864-018-4942-0  
65.   Hishinuma Eiji, Narita Yoko, Saito Sakae, et al. Functional Characterization of 21 Allelic Variants of Dihydropyrimidine Dehydrogenase Identified in 1070 Japanese Individuals. Drug Metabolism and Disposition. 2018; 46 (8): 1083-1090. doi:10.1124/dmd.118.081737  
66.   Kumondai Masaki, Ito Akio, Hishinuma Eiji, et al. Development and application of a rapid and sensitive genotyping method for pharmacogene variants using the single-stranded tag hybridization chromatographic printed-array strip (STH-PAS). Drug Metabolism and Pharmacokinetics. 2018; 33 (6): 258-263. doi:10.1016/j.dmpk.2018.08.003  
67.   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  
68.   Shibuya Yusuke, Tokunaga Hideki, Saito Sakae, et al. Identification of somatic genetic alterations in ovarian clear cell carcinoma with next generation sequencing. Genes, Chromosomes and Cancer. 2018; 57 (2): 51-60. doi:10.1002/gcc.22507  
69.   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  
70.   Suzuki Norio, Matsuo-Tezuka Yukari, Sasaki Yusuke, et al. Iron attenuates erythropoietin production by decreasing hypoxia-inducible transcription factor 2α concentrations in renal interstitial fibroblasts. Kidney International. 2018; 94 (5): 900-911. doi:10.1016/j.kint.2018.06.028  
71.   Takeuchi Fumihiko, Akiyama Masato, Matoba Nana, et al. Interethnic analyses of blood pressure loci in populations of East Asian and European descent. Nature Communications. 2018; 9 (1): 5052. doi:10.1038/s41467-018-07345-0  
72.   Rashad Sherif, Niizuma Kuniyasu, Saigusa Daisuke, et al. Intracellular S1P Levels Dictate Fate of Different Regions of the Hippocampus following Transient Global Cerebral Ischemia. Neuroscience. 2018; 384 : 188-202. doi:10.1016/j.neuroscience.2018.05.015  
73.   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  
74.   Hachiya Tsuyoshi, Narita Akira, Ohmomo Hideki, et al. Genome-wide analysis of polymorphism × sodium interaction effect on blood pressure identifies a novel 3′-BCL11B gene desert locus. Scientific Reports. 2018; 8 (1): 14162. doi:10.1038/s41598-018-32074-1  
75.   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  
76.   山本 雅之, 勝岡 史城. 東北メディカル・メガバンク計画が実施するゲノムコホート研究. 医学のあゆみ. 2018; 266 ((5)): 370-376.  
77.   Nezu Masahiro, Suzuki Norio, Yamamoto Masayuki. Targeting the KEAP1-NRF2 System to Prevent Kidney Disease Progression. American Journal of Nephrology. 2017; 45 (6): 473-483. doi:10.1159/000475890  
78.   Katayama Saori, Suzuki Mikiko, Yamaoka Ayaka, et al. GATA2 haploinsufficiency accelerates EVI1-driven leukemogenesis. Blood. 2017; 130 (7): 908-919. doi:10.1182/blood-2016-12-756767  
79.   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  
80.   Pan Xiaoqing, Nariai Naoki, Fukuhara Noriko, et al. Monitoring of minimal residual disease in early T‐cell precursor acute lymphoblastic leukaemia by next‐generation sequencing. British Journal of Haematology. 2017; 176 (2): 318-321. doi:10.1111/bjh.13948  
81.   Yagishita Yoko, Uruno Akira, Fukutomi Toshiaki, et al. Nrf2 Improves Leptin and Insulin Resistance Provoked by Hypothalamic Oxidative Stress. Cell Reports. 2017; 18 (8): 2030-2044. doi:10.1016/j.celrep.2017.01.064  
82.   Tsuchida Kouhei, Tsujita Tadayuki, Hayashi Makiko, et al. Halofuginone enhances the chemo-sensitivity of cancer cells by suppressing NRF2 accumulation. Free Radical Biology and Medicine. 2017; 103 : 236-247. doi:10.1016/j.freeradbiomed.2016.12.041  
83.   Matsuura Kentaro, Sawai Hiromi, Ikeo Kazuho, et al. Genome-Wide Association Study Identifies TLL1 Variant Associated With Development of Hepatocellular Carcinoma After Eradication of Hepatitis C Virus Infection. Gastroenterology. 2017; 152 (6): 1383-1394. doi:10.1053/j.gastro.2017.01.041  
84.   Kaneko Hiroshi, Katoh Takehide, Hirano Ikuo, et al. Induction of erythropoietin gene expression in epithelial cells by chemicals identified in GATA inhibitor screenings. Genes to Cells. 2017; 22 (11): 939-952. doi:10.1111/gtc.12537  
85.   Hamanaka Teruhiko, Kimura Masae, Sakurai Tetsuro, et al. A Histologic Categorization of Aqueous Outflow Routes in Familial Open-Angle Glaucoma and Associations With Mutations in the MYOC Gene in Japanese Patients. Investigative Opthalmology & Visual Science. 2017; 58 (5): 2818. doi:10.1167/iovs.16-20646  
86.   Miyashita Masako, Ishikuro Mami, Kikuya Masahiro, et al. Development of a Questionnaire Method of Screening for Citrin Deficiency in Schoolchildren. JPCD. 2017; 4 : 1-4. doi:10.17303/jpcd.2017.4.101  
87.   Nezu Masahiro, Souma Tomokazu, Yu Lei, et al. Transcription factor Nrf2 hyperactivation in early-phase renal ischemia-reperfusion injury prevents tubular damage progression. Kidney International. 2017; 91 (2): 387-401. doi:10.1016/j.kint.2016.08.023  
88.   Baird Liam, Tsujita Tadayuki, Kobayashi Eri H, et al. A Homeostatic Shift Facilitates Endoplasmic Reticulum Proteostasis through Transcriptional Integration of Proteostatic Stress Response Pathways. Molecular and Cellular Biology. 2017; 37 (4): . doi:10.1128/MCB.00439-16  
89.   Yu Lei, Takai Jun, Otsuki Akihito, et al. Derepression of the DNA Methylation Machinery of the Gata1 Gene Triggers the Differentiation Cue for Erythropoiesis. Molecular and Cellular Biology. 2017; 37 (8): MCB.00592-16. doi:10.1128/MCB.00592-16  
90.   Yu Lei, Moriguchi Takashi, Kaneko Hiroshi, et al. Reducing Inflammatory Cytokine Production from Renal Collecting Duct Cells by Inhibiting GATA2 Ameliorates Acute Kidney Injury. Molecular and Cellular Biology. 2017; 37 (22): e00211-17. doi:10.1128/MCB.00211-17  
91.   Hirano Ikuo, Suzuki Norio, Yamazaki Shun, et al. Renal Anemia Model Mouse Established by Transgenic Rescue with an Erythropoietin Gene Lacking Kidney-Specific Regulatory Elements. Molecular and Cellular Biology. 2017; 37 (4): MCB.00451-16. doi:10.1128/MCB.00451-16  
92.   Suzuki Takafumi, Seki Shiori, Hiramoto Keiichiro, et al. Hyperactivation of Nrf2 in early tubular development induces nephrogenic diabetes insipidus. Nature Communications. 2017; 8 (1): 14577. doi:10.1038/ncomms14577  
93.   Akiyama Masato, Okada Yukinori, Kanai Masahiro, et al. Genome-wide association study identifies 112 new loci for body mass index in the Japanese population. Nature Genetics. 2017; 49 (10): 1458-1467. doi:10.1038/ng.3951  
94.   Low Siew-Kee, Takahashi Atsushi, Ebana Yusuke, et al. Identification of six new genetic loci associated with atrial fibrillation in the Japanese population. Nature Genetics. 2017; 49 (6): 953-958. doi:10.1038/ng.3842  
95.   Hachiya Tsuyoshi, Furukawa Ryohei, Shiwa Yuh, et al. Genome-wide identification of inter-individually variable DNA methylation sites improves the efficacy of epigenetic association studies. npj Genomic Medicine. 2017; 2 (1): 11. doi:10.1038/s41525-017-0016-5  
96.   Shiga Yukihiro, Nishiguchi Koji M., Kawai Yosuke, et al. Genetic analysis of Japanese primary open-angle glaucoma patients and clinical characterization of risk alleles near CDKN2B-AS1, SIX6 and GAS7. PLOS ONE. 2017; 12 (12): e0186678. doi:10.1371/journal.pone.0186678  
97.   Nezu Masahiro, Souma Tomokazu, Yu Lei, et al. Nrf2 inactivation enhances placental angiogenesis in a preeclampsia mouse model and improves maternal and fetal outcomes. Science Signaling. 2017; 10 (479): eaam5711. doi:10.1126/scisignal.aam5711  
98.   Hachiya Tsuyoshi, Komaki Shohei, Hasegawa Yutaka, et al. Genome-wide meta-analysis in Japanese populations identifies novel variants at the TMC6–TMC8 and SIX3–SIX2 loci associated with HbA1c. Scientific Reports. 2017; 7 (1): 16147. doi:10.1038/s41598-017-16493-0  
99.   Hachiya Tsuyoshi, Kamatani Yoichiro, Takahashi Atsushi, et al. Genetic Predisposition to Ischemic Stroke. Stroke. 2017; 48 (2): 253-258. doi:10.1161/STROKEAHA.116.014506  
100.   Satoh H., Moriguchi T., Saigusa D., et al. NRF2 Intensifies Host Defense Systems to Prevent Lung Carcinogenesis, but After Tumor Initiation Accelerates Malignant Cell Growth. Cancer Research. 2016; 76 (10): 3088-3096. doi:10.1158/0008-5472.CAN-15-1584  
101.   Otsuki Akihito, Suzuki Mikiko, Katsuoka Fumiki, et al. Unique cistrome defined as CsMBE is strictly required for Nrf2-sMaf heterodimer function in cytoprotection. Free Radical Biology and Medicine. 2016; 91 : 45-57. doi:10.1016/j.freeradbiomed.2015.12.005  
102.   Katsuoka Fumiki, Yamamoto Masayuki. Small Maf proteins (MafF, MafG, MafK): History, structure and function. Gene. 2016; 586 (2): 197-205. doi:10.1016/j.gene.2016.03.058  
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