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Abstract
To develop artificial cell models that mimic living cells, cell-sized lipid vesicles encapsulating cell-free protein synthesis (CFPS) systems are useful for protein expressions or artificial gene circuits for vesicle–vesicle communications. Therefore, investigating the transcriptional and translational properties of CFPS systems in lipid vesicles is important for maximizing the synthesis and functions of proteins. Although transcription and translation using CFPS systems inside lipid vesicles are more important than that outside lipid vesicles, the former processes are not investigated by changing the lipid composition of lipid vesicles. Herein, we investigated changes in transcription and translation using CFPS systems inside giant lipid vesicles (approximately 5–20 μm in diameter) caused by changing the lipid composition of lipid vesicles containing neutral, positively, and negatively charged lipids. After incubating for 30 min, 1 h, 2 h, and 4 h, the transcriptional and translational activities in these lipid vesicles were determined by detecting the fluorescence intensities of the fluorogenic RNA aptamer on the 3′-untranslated region of mRNA (transcription) and the fluorescent protein sfCherry (translation), respectively. The results revealed that transcriptional and translational activities in a lipid vesicle containing positively charged lipids were high when the protein was synthesized using the CFPS system inside the lipid vesicle. Thus, the present study provides an experimental basis for constructing complex artificial cell models using bottom-up approaches.
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Details
1 Gunma University, Division of Molecular Science, Graduate School of Science and Technology, Kiryu, Japan (GRID:grid.256642.1) (ISNI:0000 0000 9269 4097)
2 RIKEN Center for Biosystems Dynamics Research, Laboratory for Epigenetics Drug Discovery, Yokohama, Japan (GRID:grid.508743.d)
3 RIKEN Center for Biosystems Dynamics Research, Laboratory for Cell Polarity Regulation, Suita, Japan (GRID:grid.508743.d); the University of Tokyo, Department of Cell Biology, Graduate School of Medicine, and International Research Center for Neurointelligence (WPI-IRCN), Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
4 RIKEN Center for Biosystems Dynamics Research, Laboratory for Cell Polarity Regulation, Suita, Japan (GRID:grid.508743.d); the University of Tokyo, Department of Cell Biology, Graduate School of Medicine, and International Research Center for Neurointelligence (WPI-IRCN), Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); the University of Tokyo, Department of Physics and Universal Biology Institute (UBI), Graduate School of Science, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
5 RIKEN Center for Biosystems Dynamics Research, Laboratory for Protein Functional and Structural Biology, Yokohama, Japan (GRID:grid.508743.d)




