Browsing Division of RNA biology of bacterial infections ([HIRI] RABI) by Subjects
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A detailed cell-free transcription-translation-based assay to decipher CRISPR protospacer-adjacent motifs.The RNA-guided nucleases derived from the CRISPR-Cas systems in bacteria and archaea have found numerous applications in biotechnology, including genome editing, imaging, and gene regulation. However, the discovery of novel Cas nucleases has outpaced their characterization and subsequent exploitation. A key step in characterizing Cas nucleases is determining which protospacer-adjacent motif (PAM) sequences they recognize. Here, we report advances to an in vitro method based on an E. coli cell-free transcription-translation system (TXTL) to rapidly elucidate PAMs recognized by Cas nucleases. The method obviates the need for cloning Cas nucleases or gRNAs, does not require the purification of protein or RNA, and can be performed in less than a day. To advance our previously published method, we incorporated an internal GFP cleavage control to assess the extent of library cleavage as well as Sanger sequencing of the cleaved library to assess PAM depletion prior to next-generation sequencing. We also detail the methods needed to construct all relevant DNA constructs, and how to troubleshoot the assay. We finally demonstrate the technique by determining PAM sequences recognized by the Neisseria meningitidis Cas9, revealing subtle sequence requirements of this highly specific PAM. The overall method offers a rapid means to identify PAMs recognized by diverse CRISPR nucleases, with the potential to greatly accelerate our ability to characterize and harness novel CRISPR nucleases across their many uses.
An enhanced assay to characterize anti-CRISPR proteins using a cell-free transcription-translation system.The characterization of CRISPR-Cas immune systems in bacteria was quickly followed by the discovery of anti-CRISPR proteins (Acrs) in bacteriophages. These proteins block different steps of CRISPR-based immunity and, as some inhibit Cas nucleases, can offer tight control over CRISPR technologies. While Acrs have been identified against a few CRISPR-Cas systems, likely many more await discovery and application. Here, we report a rapid and scalable method for characterizing putative Acrs against Cas nucleases using an E. coli-derived cell-free transcription-translation system. Using known Acrs against type II Cas9 nucleases as models, we demonstrate how the method can be used to measure the inhibitory activity of individual Acrs in under two days. We also show how the method can overcome non-specific inhibition of gene expression observed for some Acrs. In total, the method should accelerate the interrogation and application of Acrs as CRISPR-Cas inhibitors.