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Single Molecule Fluorescence Energy Transfer Study of Ribosome Protein Synthesis
Published on: July 6, 2021
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Three-dimensional structure-guided evolution of a ribosome with tethered subunits
Do Soon Kim1,2,3, Andrew Watkins4,5, Erik Bidstrup1,2,6
1Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.
Nature Chemical Biology
|July 14, 2022
Summary
Evolink enables high-throughput engineering of large RNA machines by linking distant sequences. This method significantly improved ribosome activity and cellular growth, opening new avenues for synthetic biology.
Area of Science:
- Synthetic biology
- Molecular biology
- RNA engineering
Background:
- RNA-based macromolecular machines, like ribosomes, feature complex structures with interactions between distant sequences.
- These long-range interactions pose challenges for traditional methods in exploring mutations and designing novel structures.
- Understanding and manipulating these interactions is crucial for advancing synthetic biology applications.
Purpose of the Study:
- To develop a novel method, Evolink, for high-throughput evolution of sequence-distant regions in large RNA machines.
- To enable the design of structurally stable RNA molecules using computational modeling.
- To enhance the functionality of macromolecular machines for synthetic biology.
Main Methods:
- Evolink (evolution and linkage) method for high-throughput evolution of sequence-distant regions.
- Computational RNA modeling for guiding library design and exploring stable structures.
- Application to a tethered ribosome system for functional enhancement.
Main Results:
- Achieved a 58% increase in orthogonal protein translation activity in an evolved tethered ribosome.
- Demonstrated a 97% improvement in cellular doubling times using the engineered ribosome.
- Identified new permissible sequences within specific ribosomal helices, expanding knowledge of RNA structure-function relationships.
Conclusions:
- Evolink facilitates the engineering of large RNA machines with improved functions.
- The method overcomes limitations in exploring sequence-distant interactions, crucial for RNA design.
- This approach holds significant potential for advancing synthetic biology through enhanced macromolecular machines.
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