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Updated: Jan 26, 2026

Performing an In Vitro Genome-Wide CRISPR Knockout Screen in Chimeric Antigen Receptor T Cells
Published on: January 31, 2025
In vivo profiling of metastatic double knockouts through CRISPR-Cpf1 screens
Ryan D Chow1,2,3,4, Guangchuan Wang1,2,3, Lupeng Ye1,2,3
1Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Abstract:
Systematic investigation of the genetic interactions that influence metastatic potential has been challenging. Here we developed massively parallel CRISPR-Cpf1/Cas12a crRNA array profiling (MCAP), an approach for combinatorial interrogation of double knockouts in vivo. We designed an MCAP library of 11,934 arrays targeting 325 pairwise combinations of genes implicated in metastasis. By assessing the metastatic potential of the double knockouts in mice, we unveiled a quantitative landscape of genetic interactions that drive metastasis.
Insights
Investigating genetic drivers of cancer metastasis is complex. We developed a new CRISPR screening method (MCAP) to efficiently map gene interactions influencing metastatic potential in vivo, revealing key genetic networks.
Area of Science:
- Genetics
- Cancer Biology
- Molecular Biology
Background:
- Understanding genetic interactions driving cancer metastasis is crucial but challenging.
- Previous methods limited systematic, in vivo investigation of double gene knockouts.
Purpose of the Study:
- To develop and apply a novel high-throughput screening method for interrogating genetic interactions in metastasis.
- To create a quantitative map of gene interactions influencing metastatic potential.
Main Methods:
- Developed massively parallel CRISPR-Cpf1/Cas12a crRNA array profiling (MCAP) for combinatorial double knockout screening.
- Designed an MCAP library targeting 325 pairwise combinations of metastasis-implicated genes.
- Assessed metastatic potential of double knockouts in vivo in mice.
Main Results:
- Successfully implemented MCAP for large-scale genetic interaction profiling.
- Unveiled a quantitative landscape of genetic interactions that significantly impact metastatic potential.
- Identified specific gene pairs whose combined disruption alters cancer spread.
Conclusions:
- MCAP is a powerful tool for dissecting complex genetic architectures of metastasis.
- The identified genetic interactions provide new insights into metastasis mechanisms.
- This approach can accelerate the discovery of therapeutic targets for metastatic cancer.
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