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Related Concept Videos

Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

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Related Experiment Video

Updated: May 12, 2026

Pooled CRISPR-Based Genetic Screens in Mammalian Cells
09:05

Pooled CRISPR-Based Genetic Screens in Mammalian Cells

Published on: September 4, 2019

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

Tao Xu1, Zhenju Guo1, Yinghao Li2

  • 1School of Life Sciences, Peking University, Beijing 100871, China; National Center for Protein Sciences (Beijing) at Peking University, Beijing , China.

Methods (San Diego, Calif.)
|May 10, 2026
PubMed
Summary

This study defines optimal parameters for CRISPR knockout screening. Researchers found 15 days and 800x coverage balance data quality, efficiency, and cost for reliable gene function characterization.

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Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes
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Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes

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Last Updated: May 12, 2026

Pooled CRISPR-Based Genetic Screens in Mammalian Cells
09:05

Pooled CRISPR-Based Genetic Screens in Mammalian Cells

Published on: September 4, 2019

Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes
08:32

Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes

Published on: May 23, 2025

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • CRISPR-based loss-of-function screening is vital for gene function studies.
  • Standardized metrics for sgRNA coverage are lacking, impacting screening reliability and efficiency.

Purpose of the Study:

  • Determine optimal sgRNA coverage for CRISPR knockout screening.
  • Establish key parameter benchmarks for screening efficacy and reproducibility.

Main Methods:

  • Conducted systematic sgRNA coverage tests in HeLa cells.
  • Incorporated multiple timepoints to monitor sgRNA knockout dynamics.
  • Analyzed data to balance quality, time, and cost.

Main Results:

  • Identified 15 days and 800x coverage as optimal parameters for CRISPR iBAR screens.
  • Demonstrated stable sgRNA distribution beyond 15 days.
  • Provided reference data for varying coverage levels.

Conclusions:

  • Established key parameter benchmarks for effective CRISPR knockout screening.
  • Ensured screening efficacy and reproducibility for target identification and drug screening.