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Pooled CRISPR-Based Genetic Screens in Mammalian Cells
Published on: September 4, 2019
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Rapid and robust validation of pooled CRISPR knockout screens using CelFi
Allister J Loughran1,2, Shilpa Narina1,2, Jonathon Klein1,2
1Center for Advanced Genome Engineering, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Scientific Reports
|April 17, 2025
Summary
Researchers developed a new CRISPR-based Cellular Fitness (CelFi) assay for rapid hit validation. This method monitors genetic perturbations to identify cellular vulnerabilities and confirm findings from pooled CRISPR screens.
Area of Science:
- Genomics
- Molecular Biology
- Cell Biology
Background:
- Pooled CRISPR screens are essential for unbiased gene function discovery and identifying therapeutic targets.
- Validating hits from these screens is crucial but often requires robust and rapid methods.
- Current validation approaches may lack the precision to confirm observed genetic effects.
Purpose of the Study:
- To develop a simple and robust CRISPR-based method for validating hits from pooled CRISPR screens.
- To introduce the Cellular Fitness (CelFi) assay for assessing the impact of genetic perturbations on cell fitness.
- To provide a tool for rapid verification of putative gene function discoveries.
Main Methods:
- Developed a CRISPR-based assay (CelFi) to monitor indel profiles at target loci over time.
- The assay assesses the effect of genetic perturbations on cell fitness by tracking changes in indel frequency.
- Correlates indel profile alterations with selective growth advantages or disadvantages in individual cells.
Main Results:
- The CelFi assay effectively elucidates cellular vulnerabilities by monitoring genetic changes.
- It successfully verifies hits identified from pooled CRISPR knockout screens.
- Demonstrated utility in evaluating gene dependencies and testing hypotheses irrespective of experimental variables.
Conclusions:
- The CelFi assay offers a novel and efficient approach for hit validation in CRISPR screening studies.
- This method provides a quantitative measure of cellular fitness changes linked to specific genetic perturbations.
- CelFi enhances the reliability of gene function discovery and therapeutic target identification through precise validation.

