Chimeric RNA Guide Design for CRISPR Targeting Precision
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Solution Overview
Problem
Current genome editing techniques using CRISPR/Cas systems face challenges in efficiently identifying and targeting specific DNA sequences without causing deleterious effects, requiring sophisticated methods to optimize the targeting process.
Innovation Solution
The development of a CRISPR/Cas system utilizing chimeric RNA (chiRNA) sequences, including guide sequences, tracr mate sequences, and tracr sequences arranged in a 5' to 3' orientation, which, when transcribed, direct the CRISPR complex to specific target sequences, and a vector system encoding regulatory elements for nuclear localization and enzyme expression, enabling precise sequence-specific binding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single Cas enzyme is programmed by short RNA to recognize specific DNA targets, then the complexity of generating customized proteins is reduced, but the precision of target identification and avoidance of off-target effects becomes more challenging
Solution Approach 1:
The patent segments the RNA component into distinct functional regions: a guide sequence (20 nucleotides) for target recognition and a scaffold sequence for Cas enzyme binding. This segmentation allows the RNA to simultaneously provide specificity for target identification and structural functionality for enzyme recruitment, resolving the contradiction between simplified design and precise targeting.
Solution Approach 2:
The patent performs preliminary computational analysis to identify suitable target sequences with appropriate PAM motifs and to design complementary guide sequences before experimental execution. This preliminary action ensures high precision target identification is achieved through in silico screening for uniqueness and complementarity, avoiding off-target effects before the actual genome editing process begins.
2Productivity
If the CRISPR-Cas system is used for genome editing, then the methodology is simplified and productivity is enhanced, but the risk of deleterious off-target effects increases
Solution Approach 1:
The patent performs preliminary computational screening to identify unique target sequences that are unlikely to have off-target matches. By pre-analyzing genome sequences for PAM motif presence and guide sequence complementarity uniqueness, the system selects targets with high specificity before experimental execution, thereby maintaining high productivity while minimizing off-target effects.
Solution Approach 2:
The patent incorporates feedback mechanisms where computational predictions of off-target effects inform the selection and optimization of guide sequences. The system uses algorithms to predict potential off-target binding sites and adjusts guide sequence design accordingly, creating a feedback loop that enhances specificity while maintaining editing efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach simplifies the methodology for genome editing by allowing for the identification and targeting of unique sequences, reducing off-target effects and enhancing the accuracy of genome perturbation and gene-editing processes.
Implementation Method 1
the guide sequence directs sequence-specific binding of a CRISPR complex to the target sequence
Implementation Method 2
when transcribed, the tracr mate sequence hybridizes to the tracr sequence
Data Source
AI summary
Disclosed are thermodynamic and multiplication methods concerning CRISPR-Cas systems, and apparatus therefor.