Related Experiment Video
Updated: Jul 6, 2025
Pooled CRISPR-Based Genetic Screens in Mammalian Cells
Published on: September 4, 2019
Benchmark Software and Data for Evaluating CRISPR-Cas9 Experimental Pipelines Through the Assessment of a Calibration
Raffaele M Iannuzzi1, Ichcha Manipur2, Clare Pacini3,4
1Human Technopole, Milan, Italy.
Abstract:
Genome-wide genetic screens using CRISPR-guide RNA libraries are widely performed in mammalian cells to functionally characterize individual genes and for the discovery of new anticancer therapeutic targets. As the effectiveness of such powerful and precise tools for cancer pharmacogenomics is emerging, tools and methods for their quality assessment are becoming increasingly necessary. Here, we provide an R package and a high-quality reference data set for the assessment of novel experimental pipelines through which a single calibration experiment has been executed: a screen of the HT-29 human colorectal cancer cell line with a commercially available genome-wide library of single-guide RNAs. This package and data allow experimental researchers to benchmark their screens and produce a quality-control report, encompassing several quality and validation metrics. The R code used for processing the reference data set, for its quality assessment, as well as to evaluate the quality of a user-provided screen, and to reproduce the figures presented in this article is available at https://github.com/DepMap-Analytics/HT29benchmark. The reference data is publicly available on FigShare.
Insights
This study introduces an R package and reference dataset for assessing CRISPR screens in cancer pharmacogenomics. It enables researchers to benchmark their experiments and ensure data quality for gene function discovery.
Area of Science:
- Genomics and Computational Biology
- Cancer Research and Therapeutics
Background:
- Genome-wide CRISPR screens are crucial for identifying cancer therapeutic targets.
- Quality assessment tools are needed to validate these powerful genetic screening methods.
Purpose of the Study:
- To provide a reference dataset and R package for assessing CRISPR screen quality.
- To enable benchmarking of experimental pipelines in cancer pharmacogenomics research.
Main Methods:
- Development of an R package for quality control of CRISPR screens.
- Creation of a high-quality reference dataset from a screen of HT-29 colorectal cancer cells.
- Inclusion of R code for data processing, quality assessment, and figure reproduction.
Main Results:
- A validated reference dataset and R package are now available for CRISPR screen assessment.
- The package provides metrics for evaluating screen quality and experimental pipeline performance.
- Reference data is accessible on FigShare, and code is available on GitHub.
Conclusions:
- This resource facilitates robust quality control for CRISPR-based genetic screens.
- It supports the reliable discovery of anticancer therapeutic targets through pharmacogenomics.
