Design of Multipartite Transcription Factors for Multiplexed Logic Genome Integration Control in Mammalian Cells
Autor: | Martin Fussenegger, Maarit Kemi, Simon Ausländer, David Ausländer, Paul F. Lang |
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Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
Transposable element Letter Logic Computer science Biomedical Engineering Gene Expression Heterologous Computational biology 01 natural sciences Biochemistry Genetics and Molecular Biology (miscellaneous) Genome Cell Line 03 medical and health sciences chemistry.chemical_compound Synthetic biology Plasmid Protein Domains 010608 biotechnology Animals Transcription factor 030304 developmental biology Mammals 0303 health sciences General Medicine Multipartite chemistry Synthetic Biology Genetic Engineering DNA Biotechnology Plasmids Transcription Factors |
Zdroj: | ACS Synthetic Biology, 9 (11) ACS Synthetic Biology |
ISSN: | 2161-5063 |
DOI: | 10.1021/acssynbio.0c00413 |
Popis: | Synthetic biology relies on rapid and efficient methods to stably integrate DNA payloads encoding for synthetic biological systems into the genome of living cells. The size of designed biological systems increases with their complexity, and novel methods are needed that enable efficient and simultaneous integration of multiple payloads into single cells. By assembling natural and synthetic protein-protein dimerization domains, we have engineered a set of multipartite transcription factors for driving heterologous target gene expression. With the distribution of single parts of multipartite transcription factors on piggyback transposon-based donor plasmids, we have created a logic genome integration control (LOGIC) system that allows for efficient one-step selection of stable mammalian cell lines with up to three plasmids. LOGIC significantly enhances the efficiency of multiplexed payload integration in mammalian cells compared to traditional cotransfection and may advance cell line engineering in synthetic biology and biotechnology. ACS Synthetic Biology, 9 (11) ISSN:2161-5063 |
Databáze: | OpenAIRE |
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