Key result
PathoGD, an automated bioinformatic pipeline, successfully designed highly specific RPA primers and gRNAs for five bacterial pathogens, demonstrating high specificity with minimal off-target signal.
Why the study?
Selection of highly specific diagnostic targets for CRISPR-based diagnostic assays is critical but often requires iterative cycles of manual selection, optimisation, and redesign.
PathoGD provides an automated, scalable bioinformatic pipeline for the rapid design of highly specific primers and guide RNAs for CRISPR-based pathogen diagnostics.
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Offers a scalable bioinformatic tool for developing rapid CRISPR-based pathogen diagnostics; leaves open its clinical.
Critical to the success of CRISPR-based diagnostic assays is the selection of a diagnostic target highly specific to the organism of interest, a process often requiring iterative cycles of manual selection, optimisation, and redesign. Here we present PathoGD, a bioinformatic pipeline for rapid and high-throughput design of RPA primers and gRNAs for CRISPR-Cas12a-based pathogen detection. PathoGD is fully automated, leverages publicly available sequences and is scalable to large datasets, allowing rapid continuous monitoring and validation of primer/gRNA sets to ensure ongoing assay relevance. We designed primers and gRNAs for five clinically relevant bacterial pathogens, and experimentally validated a subset of the designs for detecting Streptococcus pyogenes and/or Neisseria gonorrhoeae in assays with and without pre-amplification. We demonstrated high specificity of primers and gRNAs designed, with minimal off-target signal observed for all combinations. We anticipate PathoGD will be an important resource for assay design for current and emerging pathogens. PathoGD is available on GitHub at https://github.com/sjlow23/pathogd .
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Low et al. (2025) studied Bacterial pathogens. PathoGD pipeline was evaluated on Identification and validation of target-specific gRNAs and primers. PathoGD, an automated bioinformatic pipeline, successfully designed highly specific RPA primers and gRNAs for five bacterial pathogens, demonstrating high specificity with minimal off-target signal.
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