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Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
Published on: October 18, 2022
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Establishing artificial gene connections through RNA displacement-assembly-controlled CRISPR/Cas9 function
Wei-Jia Wang1, Jiao Lin1, Chao-Qun Wu1
1MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, Sun Yat-Sen University, Guangzhou 510275, China.
Nucleic Acids Research
|July 3, 2023
Summary
Scientists developed a novel RNA-based synthetic circuit to control gene expression in bacteria and mammalian cells. This breakthrough enables artificial genetic connections, reprogramming cellular functions and altering phenotypes.
Area of Science:
- Synthetic biology
- Molecular and cellular biology
- Genetic engineering
Background:
- Reprogramming genetic networks and signal pathways via synthetic circuits is crucial for biosystem manipulation.
- Building artificial genetic communications among endogenous RNA species is challenging due to sequence independence and structural diversity.
Purpose of the Study:
- To develop an RNA-based synthetic circuit for establishing regulatory linkages between endogenous gene expression in bacteria and mammalian cells.
- To demonstrate the effectiveness of this circuit for creating artificial connections between unrelated genes and controlling cellular phenotypes.
Main Methods:
- Utilized a displacement-assembly approach to modulate guide RNA activity for CRISPR/Cas9 function control.
- Engineered synthetic RNA circuits capable of linking endogenous RNA species.
Main Results:
- Successfully established regulatory linkages between endogenous gene expression in both Escherichia coli and mammalian cells.
- Demonstrated that exogenous and naturally occurring RNAs (small/microRNAs, long mRNAs) can control endogenous gene expression.
- Created an artificial signal pathway in mammalian cells to control cell apoptosis using the synthetic circuit.
Conclusions:
- The developed RNA-based synthetic circuit provides a general strategy for constructing artificial connections within genetic networks.
- This approach enables the reprogramming of cellular functions and alteration of phenotypes in mammalian cells.
- Offers a powerful tool for synthetic biology applications and understanding gene regulation.
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