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CRISPR Interference Modules as Low-Burden Logic Inverters in Synthetic Circuits. | LitMetric

AI Article Synopsis

  • CRISPR and CRISPRi systems have transformed genetic engineering by allowing precise gene editing and regulation through customizable guide RNAs (sgRNAs).
  • CRISPRi can function as logic inverters that repress specific genes, proving useful in bacterial synthetic biology for creating complex information processing circuits.
  • Researchers optimized the performance of CRISPRi modules to reduce cell burden while enhancing their effectiveness, demonstrating their ability to improve existing genetic circuits and develop new logic gates.

Article Abstract

CRISPR and CRISPRi systems have revolutionized our biological engineering capabilities by enabling the editing and regulation of virtually any gene, via customization of single guide RNA (sgRNA) sequences. CRISPRi modules can work as programmable logic inverters, in which the dCas9-sgRNA complex represses a target transcriptional unit. They have been successfully used in bacterial synthetic biology to engineer information processing tasks, as an alternative to the traditionally adopted transcriptional regulators. In this work, we investigated and modulated the transfer function of several model systems with specific focus on the cell load caused by the CRISPRi logic inverters. First, an optimal expression cassette for dCas9 was rationally designed to meet the low-burden high-repression trade-off. Then, a circuit collection was studied at varying levels of dCas9 and sgRNAs targeting three different promoters from the popular , and systems, placed at different DNA copy numbers. The CRISPRi NOT gates showed low-burden properties that were exploited to fix a high resource-consuming circuit previously exhibiting a non-functional input-output characteristic, and were also adopted to upgrade a transcriptional regulator-based NOT gate into a 2-input NOR gate. The obtained data demonstrate that CRISPRi-based modules can effectively act as low-burden components in different synthetic circuits for information processing.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831695PMC
http://dx.doi.org/10.3389/fbioe.2021.743950DOI Listing

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