Multiplexable and Biocomputational Virus Detection by CRISPR-Cas9-Mediated Strand Displacement

Area of Science:

• Molecular Biology
• Biotechnology
• Genetics

Background:

• Global health security is threatened by recurrent viral outbreaks like COVID-19.
• Versatile and rapid diagnostic tools are crucial for effective public health responses.
• Existing CRISPR-based detection methods have limitations in multiplexing and signal processing.

Purpose of the Study:

• To develop a novel nucleic acid detection strategy using CRISPR-Cas9 for versatile virus identification.
• To demonstrate the capability of the CRISPR-Cas9 system for detecting SARS-CoV-2 and other respiratory viruses.
• To explore the potential of DNA logic circuits for processing viral detection signals.

Main Methods:

• A CRISPR-Cas9 system utilizing strand displacement mechanism was employed.
• Molecular beacons were designed to interact with the CRISPR complex for fluorescent signal generation.
• The method was tested for detecting SARS-CoV-2 DNA amplicons from patient samples.
• Multiplexed detection and DNA logic circuit integration were demonstrated.

Main Results:

• Successful detection of SARS-CoV-2 DNA amplicons from patient samples was achieved.
• The CRISPR-Cas9 system demonstrated simultaneous detection of multiple DNA targets, including different SARS-CoV-2 regions and other respiratory viruses.
• Engineered DNA logic circuits were shown to process viral detection signals.
• The COLUMBO platform enables multiplexed, single-tube detection.

Conclusions:

• The developed CRISPR-Cas9 R-loop usage for molecular beacon opening (COLUMBO) platform offers a novel approach for multiplexed nucleic acid detection.
• This method complements existing CRISPR-based diagnostics and shows significant potential for rapid diagnostics and biocomputing.
• The platform provides a versatile tool for identifying various viral targets, enhancing global health surveillance capabilities.