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.
Papers
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Journal ArticleDOI
Whole Exome Sequencing to Predict Response to Hypomethylating Agents in MDS
Holleh D Husseinzadeh,Edward P Evans,Kenichi Yoshida,Hideki Makishima,Andres Jerez,Matthew Ruffalo,Yuichi Shiraishi,Satoru Miyano,Masashi Sanada,Kenichi Chiba,Yasunobu Nagata,Inés Gómez-Seguí,Bartlomiej P Przychodzen,Candice M. Wenzell,Manuel G. Afable,Yogen Saunthararajah,Anjali S. Advani,Mikkael A. Sekeres,Seishi Ogawa,Jaroslaw P. Maciejewski +19 more
TL;DR: A cohort of 168 patients with MDS who received either azacitidine or decitabine for the presence of somatic mutations was screened, finding mutant CBL and PPFIA2 to be strongly associated with response, whereas mutant U2AF1/2, SF3B1 and PRPF8 were stronglyassociated with refractoriness.
Journal ArticleDOI
Detection of Recurrent Genetic Mutations in Intravascular Large B-Cell Lymphoma By Comprehensive Genetic Analyses Using Peripheral Blood Circulating Cell-Free DNA
Akihiro Tomita,Akihiro Tomita,Kazuyuki Shimada,Kenichi Yoshida,Yasuhiro Suzuki,Chisako Iriyama,Masashi Sanada,Masaaki Yuge,Yusuke Takagi,Shigeru Kusumoto,Yasufumi Masaki,Takahiko Ito,Yuichiro Inagaki,Akinao Okamoto,Yuichi Shiraishi,Kenichi Chiba,Hiroko Tanaka,Satoru Miyano,Seishi Ogawa,Hitoshi Kiyoi +19 more
TL;DR: Shimada et al. as discussed by the authors showed that the concentration of cfDNA is significantly higher in IVLBCL than in DLBCL, and that efficiently accumulating the tDNA in peripheral blood is useful for comprehensive genetic analyses to detect recurrent genetic mutations.
Journal ArticleDOI
A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models
Takanori Hasegawa,Atsushi Niida,Tomoya Mori,Teppei Shimamura,Rui Yamaguchi,Satoru Miyano,Tatsuya Akutsu,Seiya Imoto +7 more
TL;DR: A novel method that utilizes the approximate Bayesian computation in filtering the data and self-organizing ensemble Kalman filter in constructing the prior distributions of the parameter values is proposed and applied to real observation data in rat circadian oscillation to demonstrate the usefulness in practical situations.
Proceedings ArticleDOI
Simulation analysis for the effect of light-dark cycle on the entrainment in circadian rhythm
TL;DR: The simulation results suggested that the interacting circadian feedback network at the molecular level is essential for phase dependence of the light effects, observed in mammalian behavior.
Journal ArticleDOI
Recent computational drug repositioning strategies against SARS-CoV-2
TL;DR: In this paper , the authors present a review of drug repositioning and combination efforts towards providing better handling of COVID-19 and find that graph theory and neural network were the most used strategies with high potential towards drug reppositioning for COVID19.