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Revision as of 02:09, 16 November 2017
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Description
What is SynORI?
SynORI stands for synthetic origin of replication. It is a framework designed to make working with single and multi-plasmid systems precise, easy and on top of that - more functional.
The SynORI system enables scientists to build a multi-plasmid system in a standardized manner by:
- Selecting the number of plasmid groups
- Picking the type of copy number control (specific to one group or regulating all of them at once)
- Choosing the copy number of each group.
The framework also comes with the possibility of adding a selection system that reduces the usage of antibiotics (only 1 antibiotic for up to 5 plasmids!) and an active partitioning system to make sure that low copy number plasmid groups are not lost during the division.
Applications
Everyday lab work
Easy to assemble and control multi-plasmid system. With our framework there is no need to limit your research to a particular plasmid copy number just because there are not enough right replicons to choose from. With SynORI you can easily create a vector with a desired copy number that suits your needs.
Biological computing
The ability to choose from a wide range of copy number options and their control type will make the synthetic biology engineering much more flexible and predictable. Regulation of plasmid copy number is equivalent to adding a global parameter into a computer system. This enables the coordination of multiple gene group expression.
Smart assembly of large protein complexes
Co-expression of multi-subunit complexes using different replicons brings incoherency to an already chaotic cell system. This can be avoided by using SynORI, as every plasmid group uses the same type of control, yet can act in a group-specific manner.
Metabolic engineering
A big challenge for heterologous expression of multiple gene pathways is to accurately adjust the levels of each enzyme to achieve optimal production efficiency. Precise promoter tuning in transcriptional control and synthetic ribosome binding sites in translational control are already widely used to maintain expression levels. In addition to current approaches, our framework offers multiple gene control at the same time and on top of that, inducible regulation can make the search for perfect conditions a lot easier.
