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14. POS0459 APTAMER-BASED PROTEOMIC SCREENING IN IDENTIFICATION OF PATHOGENIC SIGNAL PATHWAY AND URINARY BIOMARKERS ASSOCIATED WITH HISTOLOGICAL FINDINGS IN LUPUS NEPHRITIS

Author

Hiramoto, K., primary, Saito, S., additional, Hanaoka, H., additional, Suzuki, K., additional, Kikuchi, J., additional, Fukui, H., additional, Takano, R., additional, Miyoshi, F., additional, Seki, N., additional, Sugahara, K., additional, Kaneko, Y., additional, and Takeuchi, T., additional

Published
2022
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19. Efficacy and safety of the dipeptidyl peptidase-4 inhibitor sitagliptin compared with α-glucosidase inhibitor in Japanese patients with type 2 diabetes inadequately controlled on sulfonylurea alone (SUCCESS-2): a multicenter, randomized, open-label, non-inferiority trial

Author

Kobayashi, K., Yokoh, H., Sato, Y., Takemoto, M., Uchida, D., Kanatsuka, A., Kuribayashi, N., Terano, T., Hashimoto, N., Sakurai, K., Hanaoka, H., Ishikawa, K., Onishi, S., and Yokote, K.

Published
2014
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22. Startup optimization of a combined cycle power plant based on cooperative fuzzy reasoning and a neural network

Author

Matsumoto, H., Ohsawa, Y., Takahasi, S., Akiyama, T., Hanaoka, H., and Ishiguro, O.

Subjects
Combined-cycle power plants -- Research, Fuzzy algorithms -- Usage, Neural networks -- Usage, Business, Electronics, Electronics and electrical industries
Abstract

A startup optimization control system for a gas and steam turbine combined cycle power plant is developed. The system can minimize startup time of the plant through cooperative fuzzy reasoning and a neural network autonomously adapting to varying process dynamics due to varying operational conditions, i.e. the ambient temperature and humidity. The operational conditions are taken into consideration by the neural network with a learning mechanism to optimize the schedule. The system is applied to a simulation for a plant with a three pressure staged reheat type 235.7 MW rated capacity, and the following points are seen. (1) The system can harmonize machines operations making good use of the operational margins, i.e. machine thermal stress and NOx emission. (2) Startup time and energy loss are reduced by 35.6% and 26.3%, respectively, compared with the conventional off-line startup scheduling method.

Published
1997

25. The H-Invitational Database (H-InvDB), a comprehensive annotation resource for human genes and transcripts

Author

Yamasaki, C., Murakami, K., Fujii, Y., Sato, Y., Harada, E., Takeda, J., Taniya, T., Sakate, R., Kikugawa, S., Shimada, M., Tanino, M., Koyanagi, K.O., Barrero, R.A., Gough, C., Chun, H., Habara, T., Hanaoka, H., Hayakawa, Y., Hilton, P.B., Kaneko, Y., Kanno, M., Kawahara, Y., Kawamura, T., Matsuya, A., Nagata, N., Nishikata, K., Noda, A.O., Nurimoto, S., Saichi, N., Sakai, H., Sanbonmatsu, R., Shiba, R., Suzuki, M., Takabayashi, K., Takahashi, A., Tamura, T., Tanaka, M., Tanaka, S., Todokoro, F., Yamaguchi, K., Yamamoto, N., Okido, T., Mashima, J., Hashizume, A., Jin, L., Lee, K., Lin, Y., Nozaki, A., Sakai, K., Tada, M., Miyazaki, S., Makino, T., Ohyanagi, H., Osato, N., Tanaka, N., Suzuki, Y., Ikeo, K., Saitou, N., Sugawara, H., O'Donovan, C., Kulikova, T., Whitfield, E., Halligan, B., Shimoyama, M., Twigger, S., Yura, K., Kimura, K., Yasuda, T., Nishikawa, T., Akiyama, Y., Motono, C., Mukai, Y., Nagasaki, H., Suwa, M., Horton, P., Kikuno, R., Ohara, O., Lancet, D., Eveno, E., Graudens, E., Imbeaud, S., Debily, M., Hayashizaki, Y., Amid, C., Han, M., Osanger, A., Endo, T., Thomas, M.A., Hirakawa, M., Makalowski, W., Nakao, M., Kim, N., Yoo, H., de Souza, S.J., Bonaldo, M.D.F., Niimura, Y., Kuryshev, V., Schupp, I., Wiemann, S., Bellgard, M., Shionyu, M., Jia, L., Thierry-Mieg, D., Thierry-Mieg, J., Wagner, L., Zhang, Q., Go, M., Minoshima, S., Ohtsubo, M., Hanada, K., Tonellato, P., Isogai, T., Zhang, J., Lenhard, B., Kim, S., Chen, Z., Hinz, U., Estreicher, A., Nakai, K., Makalowska, I., Hide, W., Tiffin, N., Wilming, L., Chakraborty, R., Soares, M.B., Chiusano, M.L., Auffray, C., Yamaguchi-Kabata, Y., Itoh, T., Hishiki, T., Fukuchi, S., Nishikawa, K., Sugano, S., Nomura, N., Tateno, Y., Imanishi, T., Gojobori, T., Genexpress, Centre National de la Recherche Scientifique (CNRS), Yamasaki, C., Murakami, K., Fujii, Y., Sato, Y., Harada, E., Takeda, J., Taniya, T., Sakate, R., Kikugawa, S., Shimada, M., Tanino, M., Koyanagi, K. O., Barrero, R. A., Gough, C., Chun, H. W., Habara, T., Hanaoka, H., Hayakawa, Y., Hilton, P. B., Kaneko, Y., Kanno, M., Kawahara, Y., Kawamura, T., Matsuya, A., Nagata, N., Nishikata, K., Noda, A. O., Nurimoto, S., Saichi, N., Sakai, H., Sanbonmatsu, R., Shiba, R., Suzuki, M., Takabayashi, K., Takahashi, A., Tamura, T., Tanaka, M., Tanaka, S., Todokoro, F., Yamaguchi, K., Yamamoto, N., Okido, T., Mashima, J., Hashizume, A., Jin, L., Lee, K. B., Lin, Y. C., Nozaki, A., Sakai, K., Tada, M., Miyazaki, S., Makino, T., Ohyanagi, H., Osato, N., Tanaka, N., Suzuki, Y., Ikeo, K., Saitou, N., Sugawara, H., Odonovan, C., Kulikova, T., Whitfield, E., Halligan, B., Shimoyama, M., Twigger, S., Yura, K., Kimura, K., Yasuda, T., Nishikawa, T., Akiyama, Y., Motono, C., Mukai, Y., Nagasaki, H., Suwa, M., Horton, P., Kikuno, R., Ohara, O., Lancet, D., Eveno, E., Graudens, E., Imbeaud, S., Debily, M. A., Hayashizaki, Y., Amid, C., Han, M., Osanger, A., Endo, T., Thomas, M. A., Hirakawa, M., Makalowski, W., Nakao, M., Kim, N. S., Yoo, H. S., De Souza, S. J., Bonaldo Mde, F., Niimura, Y., Kuryshev, V., Schupp, I., Wiemann, S., Bellgard, M., Shionyu, M., Jia, L., Thierry Mieg, D., Thierry Mieg, J., Wagner, L., Zhang, Q., Go, M., Minoshima, S., Ohtsubo, M., Hanada, K., Tonellato, P., Isogai, T., Zhang, J., Lenhard, B., Kim, S., Chen, Z., Hinz, U., Estreicher, A., Nakai, K., Makalowska, I., Hide, W., Tiffin, N., Wilming, L., Chakraborty, R., Soares, M. B., Chiusano, MARIA LUISA, Auffray, C., Yamaguchi Kabata, Y., Itoh, T., Hishiki, T., Fukuchi, S., Nishikawa, K., Sugano, S., Nomura, N., Tateno, Y., Imanishi, T., and Gojobori, T.

Subjects
DNA, Complementary, [SDV]Life Sciences [q-bio], Pseudogene, Locus (genetics), Biology, computer.software_genre, User-Computer Interface, 03 medical and health sciences, Annotation, 0302 clinical medicine, Databases, Genetic, Genetics, Animals, Humans, Gene family, RNA, Messenger, Gene, database, 030304 developmental biology, Internet, 0303 health sciences, Human genome, Database, Alternative splicing, Chromosome Mapping, Proteins, Articles, Gene expression profiling, Genes, transcriptome, computer, 030217 neurology & neurosurgery
Abstract

International audience; Here we report the new features and improvements in our latest release of the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/), a comprehensive annotation resource for human genes and transcripts. H-InvDB, originally developed as an integrated database of the human transcriptome based on extensive annotation of large sets of full-length cDNA (FLcDNA) clones, now provides annotation for 120 558 human mRNAs extracted from the International Nucleotide Sequence Databases (INSD), in addition to 54 978 human FLcDNAs, in the latest release H-InvDB_4.6. We mapped those human transcripts onto the human genome sequences (NCBI build 36.1) and determined 34 699 human gene clusters, which could define 34 057 (98.1%) protein-coding and 642 (1.9%) non-protein-coding loci; 858 (2.5%) transcribed loci overlapped with predicted pseudogenes. For all these transcripts and genes, we provide comprehensive annotation including gene structures, gene functions, alternative splicing variants, functional non-protein-coding RNAs, functional domains, predicted sub cellular localizations, metabolic pathways, predictions of protein 3D structure, mapping of SNPs and microsatellite repeat motifs, co-localization with orphan diseases, gene expression profiles, orthologous genes, protein-protein interactions (PPI) and annotation for gene families. The current H-InvDB annotation resources consist of two main views: Transcript view and Locus view and eight sub-databases: the DiseaseInfo Viewer, H-ANGEL, the Clustering Viewer, G-integra, the TOPO Viewer, Evola, the PPI view and the Gene family/group.

Published
2007

31. Isolation of 76Br from irradiated Cu276Se targets using dry distillation: evaluations and improvement for routine production

Author

Watanabe, Sh., Watanabe, Sa., Ohshima, Y., Sugo, Y., Sasaki, I., Hanaoka, H., Ishioka, N. S., Japan Atomic Energy Agency, Takasaki, Gunma, Japan, and Chiba University Graduate School of Pharmaceutical, Chiba, Japan

Subjects
76Br, Cu2Se targets, PET imaging, ddc:530, 76Br, Kupferselenidtarget, PET Bildgebung
Abstract

Introduction 76Br is of interest for in vivo PET imaging applications. Its relatively long half-life (16.1 h) allows use not only on small molecules but also proteins which have slow excretion as carrier molecules. Irradiation using a low energy proton beam (~ 20 MeV) on an enriched Cu276Se target, followed by dry distillation with thermal chromatography, is one of the best methods to obtain sufficient amounts of 76Br for clinical applications1,2. However, the thermal chromatography is plagued by poor reproducibility and appears unsuitable for automation of its production, leading us to remove the thermal chroma-tography from the dry distillation. In this investigation we employed H2O solution to collect 76Br and optimized the distillation condition using a small amount of 77Br (57.0 h). We also produced large amount of 76Br under the optimized conditions to evaluate the dry distillation method. Material and Methods Target preparation and dry distillation were conducted based on the methods described in previous reports1,2. To produce 77Br, Cu2natSe target was irradiated with 20 MeV proton beams (5 µA) accelerated by AVF cyclotron in the Japan Atomic Energy Agency. The following two systems were used in the dry distillation optimization studies; (1) an initial system was composed of two furnaces, a main and an auxiliary furnace. Temperature of each furnace was set at 1050 °C (main) and 200 °C (auxiliary) respectively; (2) the second system was made of one large furnace composed of heating and cooling area. Temperature of the heating area was varied from 1050 to 1120 °C. In both systems PTFE tubing, leading to a H2O solution (15 mL), was inserted into the apparatus. The irradiated target was heated under streaming Ar gas (30 mL/min.). An enriched Cu276Se target (76Se enrichment: 99.67%) was used for 76Br production. Radioactivity was measured on a high-purity germanium (HPGe) detector coupled to a multichannel analyzer. TLC analyses were conducted on Al2O3 plates (Merck) using 7:1 acetone:H2O as the eluting solvent. Results and Conclusion Low efficiency (33 %) of 77Br recovery was ob-served in the initial system. Distribution of radioactivity inside the apparatus showed that 35 % was trapped in the PTFE tube and the quartz tube. The recovery yield was increased up to 54 % when the auxiliary furnace was turned off, indicating that the temperature gradient inside the quartz tube is suitable to carry 77Br effectively to the H2O trap. We initially used a quartz boat to place the irradiated target in the furnace, but found that using a reusable tungsten backing was better. However, we found that recovery yield was dramatically reduced to 18 %. The studies where the temperature was varied showed that releasing efficiency was increased up to 100 % at the temperature of 1120 °C. Good recovery yield (~ 77 %) was achieved after optimizing the temperature gradient (FIG. 1b). Using the optimized setup, 76Br production runs (n = 6) have been conducted, allowing us to recover up to 39.8 MBq/µAh (EOB) of 76Br. High specific activity (~4400 GBq/µmol) was obtained in the final solution. TLC analysis showed that chemical form obtained was bromide. We concluded that the dry distillation using H2O trap is capable of providing enough high purity 76Br for clinical applications.

Published
2015

32. Vascular endothelial growth factor as a predictive marker for POEMS syndrome treatment response: retrospective cohort study

Author

Misawa, S., primary, Sato, Y., additional, Katayama, K., additional, Hanaoka, H., additional, Sawai, S., additional, Beppu, M., additional, Nomura, F., additional, Shibuya, K., additional, Sekiguchi, Y., additional, Iwai, Y., additional, Watanabe, K., additional, Amino, H., additional, Ohwada, C., additional, Takeuchi, M., additional, Sakaida, E., additional, Nakaseko, C., additional, and Kuwabara, S., additional

Published
2015
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38. FRI0609 Ultrasonography is a Useful Modality with Ease Access Reflecting Local Molecular Pathophysiology of Inflammatory Joint in Rheumatoid Arthritis

Author

Kondo, Y., primary, Suzuki, K., additional, Inoue, Y., additional, Takeshita, M., additional, Morita, R., additional, Kasai, Y., additional, Miyazaki, T., additional, Niki, Y., additional, Hanaoka, H., additional, Kaneko, Y., additional, Yasuoka, H., additional, Yamaoka, K., additional, Yoshimura, A., additional, and Takeuchi, T., additional

Published
2015
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39. Integrative Annotation of 21,037 Human Genes\ud Validated by Full-Length cDNA Clones

Author

Imanishi, T., Itoh, T., Suzuki, Y., O'Donovan, C., Fukuchi, S., Koyanagi, K.O., Barrero, R.A., Tamura, T., Yamaguchi-Kabata, Y., Tanino, M., Yura, K., Miyazaki, S., Ikeo, K., Homma, K., Kasprzyk, A., Nishikawa, T., Hirakawa, M., Thierry-Mieg, J., Thierry-Mieg, D., Ashurst, J., Jia, L., Nakao, M., Thomas, M.A., Mulder, N., Karavidopoulou, Y., Jin, L., Kim, S., Yasuda, T., Lenhard, B., Eveno, E., Yamasaki, C., Takeda, J., Gough, C., Hilton, P., Fujii, Y., Sakai, H., Tanaka, S., Amid, C., Bellgard, M., De Fatima Bonaldo, M., Bono, H., Bromberg, S.K., Brookes, A.J., Bruford, E., Carninci, P., Chelala, C., Couillault, C., de Souza, S.J., Debily, M., Devignes, M., Dubchak, I., Endo, T., Estreicher, A., Eyras, E., Fukami-Kobayashi, K., Gopinath, G.R., Graudens, E., Hahn, Y., Han, M., Han, Z., Hanada, K., Hanaoka, H., Harada, E., Hinz, U., Hishiki, T., Hopkinson, I., Imbeaud, S., Inoko, H., Kanapin, A., Kaneko, Y., Kasukawa, T., Kersey, P., Kikuno, R., Kimura, K., Korn, B., Kuryshev, V., Makalowska, I., Makino, T., Mano, S., Mariage-Samson, R., Mashima, J., Matsuda, H., Mewes, H., Minoshima, S., Nagai, K., Nagasaki, H., Nagata, N., Nigam, R., Ogasawara, O., Ohara, O., Ohtsubo, M., Okido, T., Oota, S., Ota, M., Ota, T., Otsuki, T., Piatier-Tonneau, D., Poustka, A., Ren, S., Saitou, N., Sakai, K., Sakamoto, S., Sakate, R., Schupp, I., Servant, F., Sherry, S., Shiba, R., Shimizu, N., Shimoyama, M., Simpson, A.J., Soares, B., Steward, C., Suwa, M., Suzuki, M., Takahashi, A., Tamiya, G., Tanaka, H., Taylor, T., Terwilliger, J.D., Unneberg, P., Veeramachaneni, V., Watanabe, S., Wilming, L., Yasuda, N., Yoo, H-S., Stodolsky, M., Makalowski, W., Go, M., Nakai, K., Takagi, T., Kanehisa, M., Sakaki, Y., Quackenbush, J., Okazaki, Y., Hayashizaki, Y., Hide, W., Chakraborty, R., Nishikawa, K., Sugawara, H., Tateno, Y., Chen, Z., Oishi, M., Tonellato, P., Apweiler, R., Okubo, K., Wagner, L., Wiemann, S., Strausberg, R.L., Isogai, T., Auffray, C., Nomura, N., Gojobori, T., and Sugano, S.

Abstract

The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein\ud requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of\ud investigation have been used to elucidate the structure and function of the genes in the human genome. Even so, gene\ud prediction remains a difficult task, as the varieties of transcripts of a gene may vary to a great extent. We thus\ud performed an exhaustive integrative characterization of 41,118 full-length cDNAs that capture the gene transcripts as\ud complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level.\ud Our international collaboration has validated 21,037 human gene candidates by analysis of high-quality full-length\ud cDNA clones through curation using unified criteria. This led to the identification of 5,155 new gene candidates. It also\ud manifested the most reliable way to control the quality of the cDNA clones. We have developed a human gene\ud database, called the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). It provides the following:\ud integrative annotation of human genes, description of gene structures, details of novel alternative splicing isoforms,\ud non-protein-coding RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein\ud three-dimensional structure, mapping of known single nucleotide polymorphisms (SNPs), identification of polymorphic\ud microsatellite repeats within human genes, and comparative results with mouse full-length cDNAs. The H-InvDB\ud analysis has shown that up to 4% of the human genome sequence (National Center for Biotechnology Information\ud build 34 assembly) may contain misassembled or missing regions. We found that 6.5% of the human gene candidates\ud (1,377 loci) did not have a good protein-coding open reading frame, of which 296 loci are strong candidates for nonprotein-coding\ud RNA genes. In addition, among 72,027 uniquely mapped SNPs and insertions/deletions localized within\ud human genes, 13,215 nonsynonymous SNPs, 315 nonsense SNPs, and 452 indels occurred in coding regions. Together\ud with 25 polymorphic microsatellite repeats present in coding regions, they may alter protein structure, causing\ud phenotypic effects or resulting in disease. The H-InvDB platform represents a substantial contribution to resources\ud needed for the exploration of human biology and pathology

Published
2004

42. Anti-signal recognition particle antibody in patients without inflammatory myopathy: a survey of 6180 patients with connective tissue diseases.

Author

Hanaoka, H, Kaneko, Y, Suzuki, S, Takada, T, Hirakata, M, Takeuchi, T, and Kuwana, M

Subjects
*IMMUNOGLOBULINS, *MUSCLE diseases, *IMMUNOPRECIPITATION, *ENZYME-linked immunosorbent assay, *CONNECTIVE tissue diseases, *SIGNAL recognition particle, *PATIENTS
Abstract

Objectives: To clarify the prevalence of anti-signal recognition particle (anti-SRP) antibody in connective tissue diseases (CTDs) and investigate the clinical characteristics of patients without inflammatory myopathy.Method: Sera from 6180 patients with CTD were examined by immunoprecipitation (IPP) assays, and the records of patients positive for anti-SRP antibody were reviewed retrospectively. The antibody against the 54-kDa protein of SRP (SRP54) was quantified by enzyme-linked immunosorbent assay (ELISA) in patients with anti-SRP antibody.Results: Of the 28 patients positive for anti-SRP antibody, nine (32.1%) did not have inflammatory myopathy. The clinical diagnoses and characteristics of those patients varied considerably. In patients with inflammatory myopathy, the index of anti-SRP54 was much higher than in those without myopathy (1.15 vs. 0.46; p = 0.036).Conclusions: The prevalence of anti-SRP antibody was 0.5% in a cohort of Japanese patients with CTD, and one-third of them did not have inflammatory myopathy. Sera from patients with inflammatory myopathy recognized SRP54 more strongly than in those without myopathy. [ABSTRACT FROM AUTHOR]

Published
2016
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