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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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Role of the Orphan Transporter SLC35E1 in the Nuclear Egress of Herpes Simplex Virus 1

TL;DR: A new system consisting of interactome screening for the herpes simplex virus 1 (HSV-1) nuclear egress complex (NEC), followed by loss-of-function screening to target the identified putative NEC-interacting cellular proteins to detect a defect in HSV- 1nuclear egress identified SLC35E1, an orphan transporter, as a novel cellular protein required for efficient HSv-1 de-envelopment.

HAKKE: A Multi-Strategy Prediction System for Sequences

TL;DR: In this article, a machine learning system called HAKKE was developed for predicting functional regions from sequences, such as protein-coding region prediction, and transmembrane domain prediction.
Journal ArticleDOI

[Successful treatment of pure red cell aplasia with cyclosporin in a patient with T-cell large granular lymphocytic leukemia harboring the STAT3 D661V mutation].

TL;DR: Oral cyclosporin A administration resulted in prompt improvement of anemia, suggesting its high sensitivity, and whole-exome sequencing of his peripheral blood DNA revealed somatic mutations in 33 genes, including the STAT3 gene, implying their roles in T-LGL leukemia.
Proceedings ArticleDOI

Abstract 3568: Quantitative t cell receptor (tcr) repertoire analysis by next-generation sequencing (ngs) in non-small cell lung cancer patients treated with therapeutic cancer peptide vaccines

TL;DR: A new high throughput sequencing method to investigate the detailed genetic profiling of the TCR repertoire of millions of peripheral T lymphocytes from non-small cell lung cancer patients who had been treated with cancer vaccine cocktail of peptides derived from CDCA1, URLC10, and KIF20A and should contribute to the better understanding of the immune responses in patients treated with immunotherapy.
Journal ArticleDOI

Assignment of Certainty-Factor Parameters with a Given Reasoning Tree for the Prediction of Protein Localization Sites

TL;DR: A simple scheme for assigning certainty-factor parameters with a given reasoning tree is presented, in which an input ux is divided into thinner ows on a step-by-step basis according to some characteristic values calculated from the input sequence.