Optimization of a Cas12a-Driven Synthetic Gene Regulatory Network System

Area of Science:

• Synthetic biology
• Molecular biology
• Gene regulation

Background:

• Gene regulatory networks (GRNs) control gene expression using logic modules like gene regulatory cascades (GRCs).
• Synthetic biology enables the creation of artificial GRCs for studying gene regulation.
• Single-cell technologies have advanced the discovery of gene regulatory modules, but validation tools are limited.

Purpose of the Study:

• To design and implement an alternative synthetic GRC using DNA cutting-defective Cas12a (dCas12a).
• To compare the performance of dCas12a-based GRCs with existing dCas9-based systems.
• To optimize the dCas12a system for improved reporter gene expression.

Main Methods:

• Construction of a synthetic GRC utilizing dCas12a.
• Comparative analysis of dCas12a and dCas9 systems for fluorescent reporter expression.
• Investigation of component influences, particularly nuclear localization, on system activity.
• Optimization of dCas12a nuclear localization to enhance performance.

Main Results:

• The dCas12a system was initially more streamlined than the dCas9 system.
• Nuclear localization was identified as a key factor influencing system activity.
• Optimizing nuclear localization for the dCas12a system increased reporter-positive cells by 1.5-fold and reporter intensity by 15-fold.

Conclusions:

• The optimized dCas12a system, termed Synthetic Gene Regulatory Network (SGRN), offers superior performance for reporter gene expression.
• SGRN provides a powerful new tool for validating synthetic gene regulatory modules.
• This work advances the engineering of complex gene regulatory systems.