Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Yasushi Nakano is active.

Publication


Featured researches published by Yasushi Nakano.


Science and Technology of Advanced Materials | 2016

X-ray computed tomography imaging of a tumor with high sensitivity using gold nanoparticles conjugated to a cancer-specific antibody via polyethylene glycol chains on their surface

Tomohiko Nakagawa; Kohsuke Gonda; Takashi Kamei; Liman Cong; Yoh Hamada; Narufumi Kitamura; Hiroshi Tada; Takanori Ishida; Takuji Aimiya; Naoko Furusawa; Yasushi Nakano; Noriaki Ohuchi

Abstract Contrast agents are often used to enhance the contrast of X-ray computed tomography (CT) imaging of tumors to improve diagnostic accuracy. However, because the iodine-based contrast agents currently used in hospitals are of low molecular weight, the agent is rapidly excreted from the kidney or moves to extravascular tissues through the capillary vessels, depending on its concentration gradient. This leads to nonspecific enhancement of contrast images for tissues. Here, we created gold (Au) nanoparticles as a new contrast agent to specifically image tumors with CT using an enhanced permeability and retention (EPR) effect. Au has a higher X-ray absorption coefficient than does iodine. Au nanoparticles were supported with polyethylene glycol (PEG) chains on their surface to increase the blood retention and were conjugated with a cancer-specific antibody via terminal PEG chains. The developed Au nanoparticles were injected into tumor-bearing mice, and the distribution of Au was examined with CT imaging, transmission electron microscopy, and elemental analysis using inductively coupled plasma optical emission spectrometry. The results show that specific localization of the developed Au nanoparticles in the tumor is affected by a slight difference in particle size and enhanced by the conjugation of a specific antibody against the tumor.


Scientific Reports | 2017

Quantitative diagnostic imaging of cancer tissues by using phosphor-integrated dots with ultra-high brightness

Kohsuke Gonda; Mika Watanabe; Hiroshi Tada; Minoru Miyashita; Yayoi Takahashi-Aoyama; Takashi Kamei; Takanori Ishida; Shin Usami; Hisashi Hirakawa; Yoichiro Kakugawa; Yohei Hamanaka; Ryuichi Yoshida; Akihiko Furuta; Hisatake Okada; Hideki Goda; Hiroshi Negishi; Kensaku Takanashi; Masaru Takahashi; Yuichi Ozaki; Yuka Yoshihara; Yasushi Nakano; Noriaki Ohuchi

The quantitative sensitivity and dynamic range of conventional immunohistochemistry (IHC) with 3,3′-diaminobenzidine (IHC-DAB) used in pathological diagnosis in hospitals are poor, because enzyme activity can affect the IHC-DAB chromogenic reaction. Although fluorescent IHC can effectively increase the quantitative sensitivity of conventional IHC, tissue autofluorescence interferes with the sensitivity. Here, we created new fluorescent nanoparticles called phosphor-integrated dots (PIDs). PIDs have 100-fold greater brightness and a more than 300-fold greater dynamic range than those of commercially available fluorescent nanoparticles, quantum dots, whose fluorescence intensity is comparable to tissue autofluorescence. Additionally, a newly developed image-processing method enabled the calculation of the PID particle number in the obtained image. To quantify the sensitivity of IHC using PIDs (IHC-PIDs), the IHC-PIDs method was compared with fluorescence-activated cell sorting (FACS), a method well suited for evaluating total protein amount, and the two values exhibited strong correlation (R = 0.94). We next applied IHC-PIDs to categorize the response to molecular target-based drug therapy in breast cancer patients. The results suggested that the PID particle number estimated by IHC-PIDs of breast cancer tissues obtained from biopsy before chemotherapy can provide a score for predicting the therapeutic effect of the human epidermal growth factor receptor 2-targeted drug trastuzumab.


Archive | 2011

TISSUE STAINING METHOD, TISSUE EVALUATION METHOD AND BIOSUBSTANCE DETECTION METHOD

Takuji Aimiya; Hideki Gouda; Hisatake Okada; Yasushi Nakano; Kohsuke Gonda; Motohiro Takeda; Noriaki Ohuchi


Archive | 2012

Biological substance detection method

Kensaku Takanashi; Hisatake Okada; Yasushi Nakano; Kohsuke Gonda; Noriaki Ohuchi; Mika Watanabe


Archive | 2011

Evaluation system of biological material expression level

Takuji Aimiya; Akinori Tsunomori; 昭教 角森; Hideki Goda; 秀樹 郷田; Yasushi Nakano; 寧 中野; Kosuke Gonda; 幸祐 権田; Noriaki Ouchi; 憲明 大内; Mika Watanabe; みか 渡邉


Biochemical and Biophysical Research Communications | 2012

Development of a quantitative diagnostic method of estrogen receptor expression levels by immunohistochemistry using organic fluorescent material-assembled nanoparticles

Kohsuke Gonda; Minoru Miyashita; Mika Watanabe; Yayoi Takahashi; Hideki Goda; Hisatake Okada; Yasushi Nakano; Hiroshi Tada; Masakazu Amari; Noriaki Ohuchi


Archive | 2012

METHOD FOR STAINING TISSUE

Hideki Gouda; Hisatake Okada; Yasushi Nakano; Kohsuke Gonda; Noriaki Ohuchi; Mika Watanabe


Archive | 2013

Method for detection biological substance

Hideki Hoshino; 星野 秀樹; Hideki Gouda; 秀樹 郷田; Kensaku Takanashi; 健作 高梨; Yasushi Nakano; 中野 寧; Kohsuke Gonda; 幸祐 権田; Noriaki Ohuchi; 憲明 大内; Mika Watanabe; みか 渡邉


Archive | 2007

Core/shell nanoparticle, biological substance labeling agent, and method for producing particle

Naoko Furusawa; Kazuya Tsukada; Yasushi Nakano


Archive | 2010

METHOD FOR DETECTING AFFERENT LYMPH VESSEL INFLOW REGIONS AND METHOD FOR IDENTIFYING SPECIFIC CELLS

Makoto Hikage; Kohsuke Gonda; Motohiro Takeda; Takashi Kamei; Noriaki Ohuchi; Hideki Gouda; Yasushi Nakano

Collaboration


Dive into the Yasushi Nakano's collaboration.

Top Co-Authors

Avatar

Kohsuke Gonda

Takeda Pharmaceutical Company

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Motohiro Takeda

Takeda Pharmaceutical Company

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge