To the Future with
PROTEO-SCIENCE

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プライムの情報はこちら

INFORMATION

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ABOUT PROS

Proteins are the building blocks of life. The wheat cell-free protein synthesis method, pioneered here at PROS, enables the high-throughput, large scale synthesis of high quality proteins.

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PRiME

PRiME is a joint-use, collaborative research center focusing on interactome analysis set up by the Proteo-Science Center at Ehime University.
Collaborative research is the bedrock of our center, and we are continuously adapting our program to facilitate our ability to work together with researchers all over the world.

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DEPARTMENTS

The Proteo-Science Center at Ehime University consists of various diverse research departments affiliated with 'Fundamental Technology Development‘ and 'Complex Bioscience Analysis’. We aim to promote protein-based life science research, and to use our expertise to inform the development of novel diagnostics and therapeutics for the improvement of human health.

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ACHIEVEMENTS

Original paper Vesicles Secreted by Renal Cell Carcinoma Cells Cause Vascular Endothelial Cells to Express PSMA and Drive Tumor Progression

Cells.， 2025； 22;14(3)：165
DOI:10.3390/cells14030165
Ryuta Watanabe, Keito Kagimoto, Mami Chosei, Tomohisa Sakaue, Mie Kurata, Noriyoshi Miura, Riko Kitazawa, Tadahiko Kikugawa, Shigeki Higashiyama, Takashi Saika

Original paper Reliable intraoperative diagnostic methods for PCNSL: utility of combining intraoperative immunohistochemistry, cytology, and flow cytometry in achieving optimal treatment

Acta Neurol Belg.， 2025； 125(1)：99-108
DOI:10.1007/s13760-024-02637-3
Akihiro Inoue, Yukihiro Miyazaki, Hideaki Watanabe, Masahiro Nishikawa, Kosuke Kusakabe, Takanori Ohnishi, Mashio Taniwaki, Takatsugu Honda, Takuya Kondo, Shingo Kinnami, Eiji Katayama, Seiji Shigekawa, Mie Kurata, Riko Kitazawa, Takeharu Kunieda

Original paper Artificial intelligence challenge of discriminating cutaneous arteritis and polyarteritis nodosa based on hematoxylin-and-eosin images of skin biopsy specimens

Pathol Res Pract.， 2025； 269：155915
DOI:10.1016/j.prp.2025.155915
Wataru Kashiwa, Kenji Hirata, Hiroki Endo, Kohsuke Kudo, Chietsugu Katoh, Tamihiro Kawakami, Hiroyuki Kanno, Kei Takahashi, Tatsuhiko Miyazaki, Eiji Ikeda, Toshiaki Oharaseki, Yayoi Ogawa, Mitsuho Onimaru, Mie Kurata, Daigo Nakazawa, Eri Muso, Yuka Nishibata, Sakiko Masuda, Utano Tomaru, Yoshihiro Matsuno, Shunsuke Furuta, Yoshiyuki Abe, Naoto Tamura, Masayoshi Harigai, Akihiro Ishizu

Original paper Usefulness of four-dimensional noise reduction filtering using a similarity algorithm in low-dose dynamic computed tomography for the evaluation of breast cancer: a preliminary study

Japanese journal of radiology.， 2025； May;43(5)：787-799
DOI:10.1007/s11604-024-01730-0
Daichi Uraoka, Megumi Matsuda, Yuki Tanabe, Naoto Kawaguchi, Chihiro Nishiyama, Ayaka Okada, Koichiro Uda, Hiroshi Suekuni, Hikaru Nishiyama, Yoshiaki Kamei, Mie Kurata, Riko Kitazawa, Shota Nakano, Teruhito Kido

Original paper Diagnostic accuracy of a machine learning model using radiomics features from breast synthetic MRI.

BMC Medical Imaging.， 2025； 2025 Sep 29;25(1)：399
DOI:10.1186/s12880-025-01930-8
Takuya Matsuda, Megumi Matsuda, Hasnine Haque, Shotaro Fuchibe, Masaki Matsumoto, Yasuhiro Shiraishi, Yuki Nobe, Kango Kuwabara, Wataru Toshimori, Kanako Okada, Naoto Kawaguchi, Mie Kurata, Yoshiaki Kamei, Riko Kitazawa, Teruhito Kido
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