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Updated: Jan 22, 2026

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Substrate Generation for Endonucleases of CRISPR/Cas Systems
Published on: September 8, 2012
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Programmable CRISPR-Cas Repression, Activation, and Computation with Sequence-Independent Targets and Triggers
Mike Jin1,2, Nicolas Garreau de Loubresse1,2, Youngeun Kim1,2
1Wyss Institute for Biologically Inspired Engineering , Harvard University , Boston , Massachusetts 02115 , United States.
ACS Synthetic Biology
|July 11, 2019
Summary
Researchers developed sequence-independent CRISPR-Cas9 systems using conditional guide RNAs (cgRNAs). These systems enable multi-input logic computations for advanced genomic engineering and synthetic circuit design.
Area of Science:
- Molecular Biology
- Synthetic Biology
- Genomics
Background:
- CRISPR-Cas9 is a programmable DNA-targeting system widely used in research and medicine.
- Previous Cas9 engineering for nucleic acid detection faced limitations due to sequence-dependent guide RNA constraints.
- Single-input control was the primary focus, limiting complex regulatory applications.
Purpose of the Study:
- To design and present novel DNA- and RNA-sensing conditional guide RNAs (cgRNAs).
- To demonstrate multi-input logic gate computations (AND, OR, NAND, NOR) using these cgRNAs.
- To develop sequence-independent CRISPR-Cas9 systems with enhanced logic capabilities.
Main Methods:
- Engineering of conditional guide RNAs (cgRNAs) for sequence-independent nucleic acid sensing.
- Implementation of CRISPR-Cas9 systems to perform logical operations based on DNA and RNA inputs.
- Testing and validation of AND, OR, NAND, and NOR logic gate functionalities.
Main Results:
- Successful design and demonstration of sequence-independent DNA- and RNA-sensing cgRNAs.
- Achieved complete sets of logical computations (AND, OR, NAND, NOR) using these cgRNAs.
- Established a foundation for advanced CRISPR-Cas9 based logic systems.
Conclusions:
- The developed sequence-independent cgRNAs overcome previous sequence constraints in CRISPR-Cas9 systems.
- These systems enable sophisticated multi-input logic computations for precise genomic control.
- This advancement holds potential for improved genome engineering, regulation, and synthetic circuit construction.
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