S
Satoru Miyano
Researcher at Tokyo Medical and Dental University
Publications - 874
Citations - 45801
Satoru Miyano is an academic researcher from Tokyo Medical and Dental University. The author has contributed to research in topics: Gene & Gene regulatory network. The author has an hindex of 84, co-authored 811 publications receiving 38723 citations. Previous affiliations of Satoru Miyano include University of Paderborn & Institute of Medical Science.
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Journal ArticleDOI
Computational gene network analysis reveals TNF-induced angiogenesis
Kentaro Ogami,Rui Yamaguchi,Seiya Imoto,Yoshinori Tamada,Hiromitsu Araki,Cristin G. Print,Satoru Miyano +6 more
TL;DR: Computational gene network analysis revealed a novel molecular system that may play an important role in the TNF-induced angiogenesis seen in cancer and rheumatic disease, and suggests that Bayesian network analysis linked to functional annotation may be a powerful tool to provide insight into disease.
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Efficiently finding regulatory elements using correlation with gene expression.
Hideo Bannai,Shunsuke Inenaga,Shunsuke Inenaga,Ayumi Shinohara,Masayuki Takeda,Masayuki Takeda,Satoru Miyano +6 more
TL;DR: An efficient algorithm for detecting putative regulatory elements in the upstream DNA sequences of genes, using gene expression information obtained from microarray experiments, is presented, based on a generalized suffix tree.
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Contribution of comparative fish studies to general endocrinology: structure and function of some osmoregulatory hormones.
Yoshio Takei,Akatsuki Kawakoshi,Takehiro Tsukada,Shinya Yuge,Maho Ogoshi,Koji Inoue,Susumu Hyodo,Hideo Bannai,Satoru Miyano +8 more
TL;DR: This short review introduces some examples illustrating how comparative fish studies contribute to general endocrinology by taking advantage of such differences between fishes and tetrapods.
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A between-class overlapping filter-based method for transcriptome data analysis.
TL;DR: A set of univariate filter-based methods using a between-class overlapping criterion are accurate and robust, have biological significance, and are computationally efficient and easy to implement, well suited for biological and clinical discoveries.
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Aberrant DNA Methylation Is Associated with a Poor Outcome in Juvenile Myelomonocytic Leukemia
Hirotoshi Sakaguchi,Hirotoshi Sakaguchi,Hideki Muramatsu,Yusuke Okuno,Hideki Makishima,Hideki Makishima,Yinyan Xu,Yoko Furukawa-Hibi,Xinan Wang,Atsushi Narita,Kenichi Yoshida,Yuichi Shiraishi,Sayoko Doisaki,Nao Yoshida,Asahito Hama,Yoshiyuki Takahashi,Kiyofumi Yamada,Satoru Miyano,Seishi Ogawa,Jaroslaw P. Maciejewski,Seiji Kojima +20 more
TL;DR: For patients with AMS 3–4 in whom hematopoietic stem cell transplantation does not improve the prognosis, alternative therapies, including DNA methyltransferase inhibitors and new molecular-targeting agents, should be established as treatment options.