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Chemical communication between synthetic and natural cells: a possible experimental design.

作者
Giordano Rampioni,Marco Messina,Livia Leoni,Damiano L,D'Angelo F,Stano, P.
摘要

""\\"\\\\\\"The bottom-up construction of synthetic cells is one of the most intriguing and interesting research. arenas in synthetic biology. Synthetic cells are built by encapsulating biomolecules inside lipid vesicles. (liposomes), allowing the synthesis of one or more functional proteins. Thanks to the in situ. synthesized proteins, synthetic cells become able to perform several biomolecular functions, which. can be exploited for a large variety of applications. This paves the way to several advanced uses of. synthetic cells in basic science and biotechnology, thanks to their versatility, modularity, biocompatibility,. and programmability. In the previous WIVACE (2012) we presented the state-of-the-art. of semi-synthetic minimal cell (SSMC) technology and introduced, for the first time, the idea of. chemical communication between synthetic cells and natural cells. The development of a proper synthetic. communication protocol should be seen as a tool for the nascent field of bio\\\\\\\\\\\\\\\/chemical-based. Information and Communication Technologies (bio-chem-ICTs) and ultimately aimed at building. soft-wet-micro-robots. In this contribution (WIVACE, 2013) we present a blueprint for realizing this. project, and show some preliminary experimental results. We firstly discuss how our research goal. based on the natural capabilities of biological systems to manipulate chemical signals finds a proper. place in the current scientific and technological contexts. Then, we shortly comment on the experimental. approaches from the viewpoints of (i) synthetic cell construction, and (ii) bioengineering of. microorganisms, providing up-to-date results from our laboratory. Finally, we shortly discuss how. autopoiesis can be used as a theoretical framework for defining synthetic minimal life and minimal. cognition, as well as a bridge between synthetic biology and artificial intelligence.\\\\\\"\\"""

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