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CRISPRi-Linked Multimodule Negative Feedback Loops to Address Winner-Take-All Resource Competition
Sadikshya Rijal1, Kylie Standage-Beier1, Rong Zhang1
1School of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona 85281, United States.
Synthetic gene circuits often suffer from resource competition, leading to Winner-Takes-All (WTA) behavior. A novel Negatively Competitive Regulatory (NCR) controller using CRISPR interference (CRISPRi) effectively suppressed WTA, enhancing synthetic biology circuit modularity.
Area of Science:
- Synthetic biology
- Genetic engineering
- CRISPR technology
Background:
- Cellular resource limitations cause unintended module interactions in synthetic gene circuits.
- Positive feedback loops in circuits exacerbate resource competition, leading to Winner-Takes-All (WTA) behavior.
- Compromised circuit modularity hinders predictable synthetic gene circuit design and application.
Purpose of the Study:
- To experimentally implement and evaluate a Negatively Competitive Regulatory (NCR) controller.
- To assess the NCR controller's efficacy in mitigating WTA behavior in synthetic gene circuits.
- To improve the modularity and resource allocation of synthetic gene circuits.
Main Methods:
- Implementation of an NCR controller utilizing CRISPR interference (CRISPRi) with a tunable dCas9 gene.
- Chromosomal integration of dCas9 and design of module-specific guide RNAs (gRNAs) for self-repression.
- Evaluation in dual self-activation and cascading bistable switch gene circuits, comparing with a control group.
Main Results:
- The NCR controller significantly suppressed Winner-Takes-All (WTA) behavior in tested gene circuits.
- Module coactivation was substantially increased by the NCR controller compared to controls.
- Quantitative analysis confirmed balanced module activation and improved resource reallocation.
Conclusions:
- The Negatively Competitive Regulatory (NCR) controller is an effective strategy for managing resource competition.
- NCR enhances the modularity of synthetic gene circuits by mitigating WTA dynamics.
- This approach offers a robust method for improving the predictability and performance of synthetic gene circuits.
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