Evolutionary engineering of biomacromolecules for improvement of artificial genetic circuits

2015 Fiscal Year Final Research Report

• Project Area: Synthetic biology for the comprehension of biomolecular networks
• Project/Area Number: 23119005
• Research Category: Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
• Allocation Type: Single-year Grants
• Review Section: Complex systems
• Research Institution: Tokyo Institute of Technology
• Principal Investigator: Kiga Daisuke 東京工業大学, 大学院総合理工学研究科, 准教授 (30376587)
• Co-Investigator(Kenkyū-buntansha): INOUE Tan 京都大学, 大学院生命科学研究科, 教授 (40114855) ; IKAWA Yoshiya 富山大学, 大学院理工学研究部, 教授 (70281087)
• Co-Investigator(Renkei-kenkyūsha): KIGAWA Takanori 理化学研究所, 生命分子システム基盤研究領域, 副領域長 (20270598) ; SAITO Hirohide 京都大学, 白眉センター, 准教授 (20423014)
• Project Period (FY): 2011-04-01 – 2016-03-31
• Keywords: 合成生物学 / 進化分子工学 / タンパク質 / RNA / 数理モデル / リボザイム / 遺伝暗号

Outline of Final Research Achievements

By evolutionary engineering method applied for natural RNP (RNA-protein complex), this research leads to preparation of novel RNP modules for control of signal transduction pathway. Also, a double RNA splicing reaction system was developed artificially, in which a pair of splicing ribozymes worked cooperatively to edit two distinct RNA sequences. This system can be employed as a module for RNA-based genetic circuits in vivo. As interdisciplinary studies with information science researchers, furthermore, we have demonstrated that the same results can be obtained as a result of the same perturbation, modulation of strength for promoters of artificial genetic circuits, both on living cell population and model established by information science and control engineering.

Free Research Field

合成生物学