Identification of Synthetic Lethal Interactions Using High-Throughput, Arrayed CRISPR/Cas9-Based Platforms.

Area of Science:

• Genomics
• Cancer Biology
• Molecular Genetics

Background:

• Synthetic lethality (SL) is a promising strategy for cancer therapy, selectively targeting cancer cells based on genetic relationships between gene pairs.
• Previous methods for identifying synthetic lethal interactions (SLIs) often relied on pooled screening, necessitating extensive validation to minimize false positives.

Purpose of the Study:

• To develop a high-throughput, arrayed CRISPR-based screening method for identifying synthetic lethal interactions (SLIs).
• To demonstrate the method's utility by constructing an interaction map for DNA damage and repair (DDR) genes.

Main Methods:

• High-throughput production of plasmid DNA and lentiviral vectors for single guide RNA (sgRNA) delivery.
• Cellular transduction and subsequent screening using multiwell plates for arrayed CRISPR screening.
• Image-based quantification for high-resolution, comparative measurement of SLIs.

Main Results:

• The described method enables the querying of hundreds of SLIs with reduced false positives compared to pooled screens.
• Successfully applied to map interactions within DNA damage and repair (DDR) gene networks.
• Demonstrated scalability across multiple cancer cell types and gene targets.

Conclusions:

• This scalable, arrayed CRISPR screening method offers a robust platform for identifying novel SLIs.
• The approach facilitates the discovery of new functional gene interactions with therapeutic potential in cancer treatment.
• Enables high-resolution, comparative measurement of SLIs for precise target identification.