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脱細胞化マトリックスとプロテオミクスを用いた ECM 情報解析の技術開発と応用Development and Application of ECM Information Analysis Technology Using Decellularized Matrix and Proteomics


研究代表者 Research Leader 

大槻 純男 (熊本大学大学院 生命科学研究部 微生物薬学分野, 教授)

Sumio Ohtsuki (Professor, Faculty of Life Sciences, Kumamoto University)


研究分担者 Research Member 

岸田 晶夫 (東京医科歯科大学 生体材料工学研究所 物質医工学分野, 教授) 

Akio Kishida (Professor, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University)

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研究分担者 Research Member 

木村 剛 (東洋大学 生命科学部 生体工学科, 教授) 

Tsuyoshi Kimura (Professor, Department of Biomedical Engineering, Faculty of Life Science, Toyo University)



Decellularized matrices, obtained by removing cellular components from biological tissues, are expected to be new medical materials. Analysis of the proteome of decellularized matrices identifies and quantifies the proteins in ECM that carry extracellular information. Still, the proteins that make up decellularized tissue are difficult to analyze because of their poor solubility. This research group has developed proteomic analysis techniques for poorly soluble proteins, including membrane proteins, and also reported on the characteristic properties of decellularized matrices, such as high tissue remodeling capacity, low immunogenicity, low degradability, and hemocompatibility, by utilizing the developed decellularization methods. This research group aims to establish a comprehensive understanding of the functions of decellularized matrices and ECMs and a basis for the construction of designer matrices by integrating proteome analysis and decellularized matrices. To integrate the two technologies, we will develop ECM proteome analysis technologies to enable proteome analysis of decellularized tissues and binding factors. We will also provide researchers in the field with quantitative molecular information on the high-depth proteome. In addition, develop techniques for the preparation of a variety of decellularized matrices and evaluate the effects of each matrix element by combining each factor to collect information for important proteins.

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