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DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation
Published on: December 29, 2021
Minimizing dsRNA impurity generation through structure-function-guided directed evolution of T7 RNA polymerase
Wei He1, Jingchao Xi2, Xiaoqin Wu3
1College of Forestry, Nanjing Forestry University, Nanjing, 210037, China; Vazyme Biotech Co., Ltd., Nanjing, 210000, China.
Engineering T7 RNA polymerase (T7 RNAP) reduces double-stranded RNA (dsRNA) byproducts in mRNA therapeutics. Mutations in the RNA exit tunnel minimize dsRNA, enhancing mRNA therapeutic development.
Area of Science:
- Molecular Biology
- Biotechnology
- RNA Therapeutics
Background:
- Double-stranded RNA (dsRNA) is a pathogen-associated molecular pattern that activates innate immunity, posing challenges for mRNA therapeutics.
- Current strategies for dsRNA reduction in mRNA synthesis often involve T7 RNA polymerase (T7 RNAP) engineering.
Purpose of the Study:
- To elucidate the mechanisms of dsRNA generation during T7 RNAP-catalyzed in vitro transcription.
- To engineer T7 RNAP variants with significantly reduced dsRNA byproduct formation for improved mRNA therapeutics.
Main Methods:
- Investigated the role of the RNA exit tunnel in transcription termination and dsRNA formation.
- Employed phage-assisted non-continuous evolution to engineer T7 RNAP variants.
- Introduced specific mutations within the RNA exit tunnel of T7 RNAP.
Main Results:
- The RNA exit tunnel is critical for both transcription termination and dsRNA byproduct generation.
- Engineered T7 RNAP variants with mutations in the RNA exit tunnel showed reduced dsRNA.
- A double mutant T7 RNAP (M183E + I210V) eliminated over 99% of dsRNA.
Conclusions:
- The RNA exit tunnel of T7 RNAP is a key determinant of dsRNA byproduct formation.
- Engineered T7 RNAP variants, particularly the M183E + I210V double mutant, significantly minimize dsRNA content.
- These engineered polymerases are highly promising for developing next-generation mRNA therapeutics with enhanced safety and efficacy.
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