S
Satoru Kuhara
Researcher at Kyushu University
Publications - 260
Citations - 16734
Satoru Kuhara is an academic researcher from Kyushu University. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 56, co-authored 256 publications receiving 15905 citations. Previous affiliations of Satoru Kuhara include National Institute of Advanced Industrial Science and Technology & National Institute of Technology and Evaluation.
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Journal ArticleDOI
Whole genome sequencing of meticillin-resistant Staphylococcus aureus
Makoto Kuroda,Toshiko Ohta,Ikuo Uchiyama,Tadashi Baba,Harumi Yuzawa,Ichizo Kobayashi,Longzhu Cui,Akio Oguchi,Ken-ichi Aoki,Yoshimi Nagai,JianQi Lian,Teruyo Ito,Mutsumi Kanamori,Hiroyuki Matsumaru,Atsushi Maruyama,Hiroyuki Murakami,Akira Hosoyama,Yoko Mizutani-Ui,Noriko K. Takahashi,Toshihiko Sawano,Ryu-ichi Inoue,Chikara Kaito,Kazuhisa Sekimizu,Hideki Hirakawa,Satoru Kuhara,Susumu Goto,Junko Yabuzaki,Minoru Kanehisa,Atsushi Yamashita,Kenshiro Oshima,Keiko Furuya,Chie Yoshino,Tadayoshi Shiba,Masahira Hattori,Naotake Ogasawara,Hideo Hayashi,Keiichi Hiramatsu +36 more
TL;DR: Investigation of many newly identified gene products, including the 70 putative virulence factors, will greatly improve the understanding of the biology of staphylococci and the processes of infectious diseases caused by S aureus.
Journal ArticleDOI
Complete Genome Sequence of Enterohemorrhagic Eschelichia coli O157:H7 and Genomic Comparison with a Laboratory Strain K-12
Tetsuya Hayashi,Kozo Makino,Makoto Ohnishi,Ken Kurokawa,Kazuo Ishii,Katsushi Yokoyama,Chang Gyun Han,Eiichi Ohtsubo,Keisuke Nakayama,Takahiro Murata,Masashi Tanaka,Toru Tobe,Tetsuya Iida,Hideto Takami,Takeshi Honda,Chihiro Sasakawa,Naotake Ogasawara,Teruo Yasunaga,Satoru Kuhara,Tadayoshi Shiba,Masahira Hattori,Hideo Shinagawa +21 more
TL;DR: The complete chromosome sequence of an O157:H7 strain isolated from the Sakai outbreak is reported, and the results of genomic comparison with a benign laboratory strain, K-12 MG1655, are identified, which may represent the fundamental backbone of the E. coli chromosome.
Journal ArticleDOI
Genome sequencing and analysis of Aspergillus oryzae
Masayuki Machida,Kiyoshi Asai,Motoaki Sano,Toshihiro Tanaka,Toshitaka Kumagai,Goro Terai,Goro Terai,Ken Ichi Kusumoto,Toshihide Arima,Osamu Akita,Yutaka Kashiwagi,Keietsu Abe,Katsuya Gomi,Hiroyuki Horiuchi,Katsuhiko Kitamoto,Tetsuo Kobayashi,Michio Takeuchi,David W. Denning,James E. Galagan,William C. Nierman,Jiujiang Yu,David B. Archer,Joan W. Bennett,Deepak Bhatnagar,Thomas E. Cleveland,Natalie D. Fedorova,Osamu Gotoh,Hiroshi Horikawa,Akira Hosoyama,Masayuki Ichinomiya,Rie Igarashi,Kazuhiro Iwashita,Praveen R. Juvvadi,Masashi Kato,Yumiko Kato,Taishin Kin,Akira Kokubun,Hiroshi Maeda,Noriko Maeyama,Jun-ichi Maruyama,Hideki Nagasaki,Tasuku Nakajima,Ken Oda,Kinya Okada,Ian T. Paulsen,Kazutoshi Sakamoto,Toshihiko Sawano,Mikio Takahashi,Kumiko Takase,Yasunobu Terabayashi,Jennifer R. Wortman,Osamu Yamada,Youhei Yamagata,Hideharu Anazawa,Yoji Hata,Yoshinao Koide,Takashi Komori,Yasuji Koyama,Toshitaka Minetoki,Sivasundaram Suharnan,Akimitsu Tanaka,Katsumi Isono,Satoru Kuhara,Naotake Ogasawara,Hisashi Kikuchi +64 more
TL;DR: Specific expansion of genes for secretory hydrolytic enzymes, amino acid metabolism and amino acid/sugar uptake transporters supports the idea that A. oryzae is an ideal microorganism for fermentation.
Journal ArticleDOI
Toward a protein–protein interaction map of the budding yeast: A comprehensive system to examine two-hybrid interactions in all possible combinations between the yeast proteins
Takashi Ito,Kosuke Tashiro,Shigeru Muta,Ritsuko Ozawa,Tomoko Chiba,Mayumi Nishizawa,Kiyoshi Yamamoto,Satoru Kuhara,Yoshiyuki Sakaki +8 more
TL;DR: A comprehensive system to examine two-hybrid interactions in all of the possible combinations between proteins of Saccharomyces cerevisiae will provide many leads for integration of various cellular functions and serve as a major driving force in the completion of the protein-protein interaction map.
Proceedings ArticleDOI
Identification of genetic networks from a small number of gene expression patterns under the Boolean network model.
TL;DR: A much simpler algorithm is devised that is conceptually so simple that it is extensible for more realistic network models and shows that the Boolean network of size 100,000 can be identified by the algorithm from about 100 INPUT/OUTPUT pairs if the maximum indegree is bounded by 2.