Determining optimal sgRNA coverage and screening duration for pooled CRISPR screens: A quantitative framework.

knockout libraries. Furthermore, we incorporated multiple timepoints to monitor sgRNA-mediated gene knockout dynamics. Here, balancing data quality, time efficiency, and cost, we identify 15 days and 800 × coverage as the optimal screening parameters for standard iBAR‑based CRISPR screens. Data from varying coverage levels can also serve as essential references for screening under different experimental conditions. Longitudinal analysis revealed that extending the screening period beyond 15 days maintains stable sgRNA distribution patterns within the cell population. This study establishes key parameter benchmarks to ensure CRISPR knockout screening efficacy and reproducibility, providing a solid foundation for downstream drug screening and target identification.

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Publication Details

Journal
PubMed
Published
2026-05-08
DOI
https://doi.org/10.1016/j.ymeth.2026.04.016
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Determining optimal sgRNA coverage and screening duration for pooled CRISPR screens: A quantitative framework.

郭振举, Yinghao Li, Hongxia Lyu, Tao Xu
PubMed
CRISPR and Genetic Engineering
article

Determining optimal sgRNA coverage and screening duration for pooled CRISPR screens: A quantitative framework.

郭振举, Yinghao Li, Hongxia Lyu, Tao Xu
article en

Abstract

knockout libraries. Furthermore, we incorporated multiple timepoints to monitor sgRNA-mediated gene knockout dynamics. Here, balancing data quality, time efficiency, and cost, we identify 15 days and 800 × coverage as the optimal screening parameters for standard iBAR‑based CRISPR screens. Data from varying coverage levels can also serve as essential references for screening under different experimental conditions. Longitudinal analysis revealed that extending the screening period beyond 15 days maintains stable sgRNA distribution patterns within the cell population. This study establishes key parameter benchmarks to ensure CRISPR knockout screening efficacy and reproducibility, providing a solid foundation for downstream drug screening and target identification.

PubMed
Peking University (CN)
Good health and well-being
Openalex Percentile: Top 7%
CRISPR and Genetic Engineering
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