scispace - formally typeset
H

Hiroshi Yanagawa

Researcher at Keio University

Publications -  198
Citations -  7359

Hiroshi Yanagawa is an academic researcher from Keio University. The author has contributed to research in topics: mRNA display & Peptide sequence. The author has an hindex of 41, co-authored 196 publications receiving 6876 citations. Previous affiliations of Hiroshi Yanagawa include Mitsubishi & Mitsubishi Chemical Corporation.

Papers
More filters
Journal ArticleDOI

Systematic identification of cell cycle-dependent yeast nucleocytoplasmic shuttling proteins by prediction of composite motifs

TL;DR: The successful prediction of CDK1-regulated nucleocytoplasmic shuttling proteins is reported using a prediction system for nuclear localization signals (NLSs) and the application of this strategy to other functional linear motifs should be useful in systematic studies of protein–protein networks.
Journal ArticleDOI

Six Classes of Nuclear Localization Signals Specific to Different Binding Grooves of Importin α

TL;DR: Six different NLS classes that specifically bind to distinct binding pockets of importin α are reported, finding that they fundamentally require the regions outside the core basic residues for their activity and have specific residues or patterns that confer the activities differently between yeast, plants, and mammals.
Journal ArticleDOI

In vitro virus: bonding of mRNA bearing puromycin at the 3'-terminal end to the C-terminal end of its encoded protein on the ribosome in vitro.

TL;DR: Construction of ‘in vitro virus’ was carried out in which a genotype molecule covalently binds to the phenotype molecule (protein) through puromycin on the ribosome in a cell‐free translation system, indicating a population of the in vitro virus to have ∼1012 protein variants.
Journal ArticleDOI

The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line

Harukazu Suzuki, +162 more
- 01 May 2009 - 
TL;DR: The results indicate that cellular states are constrained by complex networks involving both positive and negative regulatory interactions among substantial numbers of transcription factors and that no single transcription factor is both necessary and sufficient to drive the differentiation process.
Journal ArticleDOI

Modulation of Glucose Metabolism by CD44 Contributes to Antioxidant Status and Drug Resistance in Cancer Cells

TL;DR: It is found that CD44, a cell surface marker for cancer stem cells, interacts with pyruvate kinase M2 (PKM2) and thereby enhances the glycolytic phenotype of cancer cells that are either deficient in p53 or exposed to hypoxia.