【Original Articles】

• Shimizu H, Nakayama KI. A universal molecular prognostic score for gastrointestinal tumors. NPJ Genom. Med., 6(1), 6, 2021 (IF=8.6)
• Egami R, Kokaji T, Hatano A, Yugi K, Eto M, Morita K, Ohno S, Fujii M, Hironaka K, Uematsu S, Terakawa A, Bai Y, Pan Y, Tsuchiya T, Ozaki H, Inoue H, Uda S, Kubota H, Suzuki Y, Matsumoto M, Nakayama KI, Hirayama A, Soga T, & Kuroda S. Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle. iScience, 24(3), 102217. (2021) (IF=6.1)
• Ichihara K, Matsumoto A, Nishida H, Kito Y, Shimizu H, Shichino Y, Iwasaki S, Imami K, Ishihama Y, Nakayama KI. Combinatorial analysis of translation dynamics reveals eIF2 dependence of translation initiation at near-cognate codons. Nucleic Acids Res., 49(13), 7298-7317,  2021 (IF=16.9)

【Talks】

• Way J, Dobbertin T, Heid D, Chan KR, Vernet A, Sanchez-Ventura M, Graveline A, Burrill D, Lee J, Shimizu H, Niopek D, Silver P. Harnessing the natural trypsin antagonist SPINK-1 for targeted treatment of acute pancreatitis. 52nd Annual Meeting of the American Pancreatic Association. 2021

【Original Articles】

• Onoyama I, Nakayama S, Shimizu H, Nakayama KI. Loss of Fbxw7 impairs development of and induces heterogeneous tumor formation in the mouse mammary gland. Cancer Res., 80(24), 5515-5530,  2020 (IF=13.3) 
• Kokaji T, Hatano A, Ito Y, Yugi K, Eto M, Morita K, Ohno S, Fujii M, Hironaka K, Egami R, Terakawa A, Tsuchiya T, Ozaki H, Inoue H, Uda S, Kubota H, Suzuki Y, Ikeda K, Arita M, Matsumoto M, Nakayama K.I, Hirayama A, Soga T, & Kuroda S. Transomics analysis reveals allosteric and gene regulation axes for altered hepatic glucose-responsive metabolism in obesity. Science Signaling, 13(660), eaaz1236. (2020) (IF=8.2)
• Yamauchi Y, Nita A, Nishiyama M, Muto Y, Shimizu H, Nakatsumi H, Nakayama KI. Skp2 contributes to cell cycle progression in trophoblast stem cells and to placental development. Genes Cells, 25(6), 427-438, 2020 (IF=2.30)
• Ohno S, Quek L-E, Krycer JR, Yugi K, Hirayama A, Ikeda S, Shoji F, Suzuki K, Soga T, James DE, & Kuroda S. Kinetic trans-omic analysis reveals key regulatory mechanisms for insulin-regulated glucose metabolism in adipocytes. iScience, 23(9), 101479. (2020) (IF=6.1)
• Oshikawa K, Matsumoto M, Kodama M, Shimizu H, Nakayama KI. A fail-safe system to prevent oncogenesis by senescence is targeted by SV40 small T antigen. Oncogene, 39(10), 2170-2186, 2020 (IF=9.87)
• Quek L-E, Krycer JR, Ohno S, Yugi K, Fazakerley DJ, Scalzo R, Elkington SD, Dai Z, Hirayama A, Ikeda S, Shoji F, Suzuki K, Locasale JW, Soga T, James DE, & Kuroda S. Dynamic ¹³C Flux Analysis Captures the Reorganization of Adipocyte Glucose Metabolism in Response to Insulin. iScience, 23(2). (2020) (IF=6.1)
• Kodama M, Oshikawa K, Shimizu H, Yoshioka S, Takahashi M, Izumi Y, Bamba T, Tateishi C, Tomonaga T, Matsumoto M, Nakayama KI. A shift in glutamine nitrogen metabolism contributes to malignant progression of cancer. Nature Commun., 11(1), 1320, 2020 (IF=14.9)

【Review】

• Shimizu H, Nakayama KI. Artificial intelligence in oncology. Cancer Sci., 111(5), 1452-1460,  2020 (IF=6.72)

【Original Article】

• Shimizu H, Nakayama KI. A 23 gene-based molecular prognostic score precisely predicts overall survival of breast cancer patients. EBioMedicine, 46, 150-159, 2019 (IF=11.2)
• Muto Y, Moroishi T, Ichihara K, Nishiyama M, Shimizu H, Eguchi H, Moriya K, Koike K, Mimori K, Mori M, Katayama Y, Nakayama KI. Disruption of FBXL5-mediated cellular iron homeostasis promotes liver carcinogenesis. J. Exp. Med.,216(4), 950-965, 2019 (IF=14.3)
• Shimizu H, Takeishi S, Nakatsumi H, Nakayama KI. Prevention of cancer dormancy by Fbxw7 ablation eradicates disseminated tumor cells. JCI Insight, 4(4), e125138, 2019 (IF=9.48)

【Invited talks (English only)】

• Shimizu H, Nakayama KI. Machine learning uncovers novel aspects in healthcare and life science, 第42回日本分子生物学会シンポジウム, 2019

• Shimizu H, An AI-based Scoring System Precisely Predicts Overall Survival of Breast Cancer Patients. 第14回研究所ネットワーク国際シンポジウム, 2019

【Original Articles】

• Shimizu H, Horii A, Sunamura M, Motoi F, Egawa S, Unno M, Fukushige S.  Identification of epigenetically silenced genes in human pancreatic cancer by a novel method “microarray coupled with methyl-CpG targeted transcriptional activation” (MeTA-array). Biochem. Biophys. Res. Commun., 411(1), 162-7, 2011 (IF=3.6)
• Saiki Y, Yoshino Y, Fujimura H, Manabe T, Kudo Y, Shimada M, Mano N, Nakano T, Lee Y, Shimizu S, Oba S, Fujiwara S, Shimizu H, Chen N, Nezhad ZK, Jin G, Fukushige S, Sunamura M, Ishida M, Motoi F, Egawa S, Unno M, Horii A. DCK is frequently inactivated in acquired gemcitabine-resistant human cancer cells. Biochem. Biophys. Res. Commun., 421(1), 98-104, 2012 (IF=3.6)
• Ohno S, Furusawa C, and Shimizu H. In silico screening of triple reaction knockout Escherichia coli strains for overproduction of useful metabolites. J. Biosci. Bioeng., 115(2), 221–228. (2013) (IF=2.9)
• Ohno S, Shimizu H, and Furusawa C. FastPros: Screening of reaction knockout strategies for metabolic engineering. Bioinformatics, 30(7), 981–987. (2014) (IF=6.9)
• Nakashima N, Ohno S, Yoshikawa K, Shimizu H, and Tamura T. A vector library for silencing central carbon metabolism genes with antisense RNAs in Escherichia coli. Appl. Environ. Microbiol., 80(2), 564–573. (2014) (IF=4.8)
• Tokuyama K, Ohno S, Yoshikawa K, Hirasawa T, Tanaka S, Furusawa C, & Shimizu H. Increased 3-hydroxypropionic acid production from glycerol by modification of central metabolism in Escherichia coli. Microb. Cell Fact., 13, 64. (2014) (IF=5.1)
• Sano T, Kawata K, Ohno S, Yugi K, Kakuda H, Kubota H, Uda S, Fujii M, Kunida K, Hoshino D, Hatano A, Ito Y, Sato M, Suzuki Y, & Kuroda S. Selective control of up-regulated and down-regulated genes by temporal patterns and doses of insulin. Science Signaling, 9(455), ra112. (2016) (IF=8.2)
• Krycer JR, Yugi K, Hirayama A, Fazakerley DJ, Quek L-E, Scalzo R, Ohno S, Hodson MP, Ikeda S, Shoji F, Suzuki K, Domanova W, Parker LB, Nelson ME, Humphrey SJ, Turner N, Hoehn KL, Cooney GJ, Soga T, Kuroda S, & James DE. Dynamic Metabolomics Reveals that Insulin Primes the Adipocyte for Glucose Metabolism. Cell Reports, 21(12), 3536–3547. (2017) (IF=9.4)

【Talks】

• Shimizu H, Matsumoto M, Nakayama KI. Artificial Intelligence Precisely Predicts Overall Survival of Cancer Patients. 第21回九州大学生体防御医学研究所リトリート, 2018
• Fukushige S, Shimizu H, Sato Y, Horii A. Identification of novel targets for aberrant methylation in pancreatic cancer by a newly developed method “methyl-CpG targeted transcriptional activation (MeTA)”. AACR 101st Annual Meeting 2010
• Shimizu H, Fukushige S, Horii A. Identification of epigenetically silenced genes by the novel “methyl-CpG targeted transcriptional activation” method in human pancreatic cancer. AACR-JCA 8th Joint Conference, 2010