Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Genetic Screens

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...

CRISPR

CRISPR

Genome editing technologies allow scientists to modify an organism’s DNA via the addition, removal, or rearrangement of genetic material at specific genomic locations. These types of techniques could potentially be used to cure genetic disorders such as hemophilia and sickle cell anemia. One popular and widely used DNA-editing research tool that could lead to safe and effective cures for genetic disorders is the CRISPR-Cas9 system. CRISPR-Cas9 stands for Clustered Regularly Interspaced...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Orobas: A computational approach for scoring and analysis of quantitative chemical-genetic interactions from CRISPR-Cas9 screens.

STAR protocols·2026

Same author

Global genetic interaction network of a human cell maps conserved principles and informs functional interpretation of gene co-essentiality profiles.

Cell·2026

Same author

NetCIS: a network-based common insertion site pipeline for case-control Sleeping Beauty screens.

Briefings in bioinformatics·2026

Same author

Expanding TheCellMap.org to visualize a genome-scale genetic interaction network for a human cell line.

bioRxiv : the preprint server for biology·2026

Same author

SETDB1/ATF7IP regulate the precise genome engineering of HUSH-regulated genes.

Epigenetics & chromatin·2026

Same author

Quantitative analysis of genetic interactions in human cells from genome-wide CRISPR-Cas9 screens.

bioRxiv : the preprint server for biology·2026

Same journal

High-throughput DNA engineering by mating bacteria.

Cell systems·2026

Same journal

Living bacterial reservoir computers for information processing and sensing.

Cell systems·2026

Same journal

A data-driven modeling framework for mapping genotypes to synthetic microbial community functions.

Cell systems·2026

Same journal

BulkFormer: A large-scale foundation model for bulk transcriptomes.

Cell systems·2026

Same journal

Glycoform engineering of a mammalian platform to sculpt a humanized recombinant bioscavenger.

Cell systems·2026

Same journal

Targeted genomic editing of human gut Bacteroides species based on CRISPR-associated transposases.

Cell systems·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 30, 2025

Pooled CRISPR-Based Genetic Screens in Mammalian Cells

Pooled CRISPR-Based Genetic Screens in Mammalian Cells

Published on: September 4, 2019

Reproducibility metrics for context-specific CRISPR screens.

Maximilian Billmann¹, Henry N Ward², Michael Aregger³

¹Department of Computer Science and Engineering, University of Minnesota, Twin Cities, Minneapolis, MN 55455, USA; Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn 53127, Germany.

|May 18, 2023

Summary

This summary is machine-generated.

Current CRISPR screens focus on context-specific phenotypes. New quality assessment metrics are needed to accurately measure reproducibility for these specialized applications, ensuring reliable results in genetic research.

Keywords:

CRISPR screening correlation coefficients genetic interactions replicate correlation reproducibility

More Related Videos

Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes

Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes

Published on: May 23, 2025

MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data

MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data

Published on: February 7, 2025

Related Experiment Videos

Last Updated: Jul 30, 2025

Pooled CRISPR-Based Genetic Screens in Mammalian Cells

Pooled CRISPR-Based Genetic Screens in Mammalian Cells

Published on: September 4, 2019

Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes

Genome-Wide CRISPR Screen for Unveiling Radiosensitive and Radioresistant Genes

Published on: May 23, 2025

MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data

MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data

Published on: February 7, 2025

Area of Science:

Genomics
Molecular Biology
Biotechnology

Background:

CRISPR screens systematically investigate genotype-phenotype relationships.
Early screens identified core cell fitness genes, but current research targets context-specific phenotypes.

Purpose of the Study:

To address the need for improved quality assessment standards in CRISPR screens.
To highlight the limitations of current metrics in measuring context-specific hit reproducibility.
To propose the use of more sensitive metrics for evaluating CRISPR screen quality.

Main Methods:

Review and analysis of existing CRISPR screening methodologies.
Evaluation of commonly used metrics for quantifying screen quality.
Development of recommendations for reporting reproducibility statistics.

Main Results:

Many current quality metrics do not accurately reflect the reproducibility of context-specific hits in CRISPR screens.
There is a critical need for standards that align quality assessment with the specific goals of each screen.
Reproducibility statistics should be sensitive to context-specific biological signals.

Conclusions:

Enhanced quality assessment standards are crucial for the reliable application of CRISPR screening technologies.
Reporting reproducibility statistics that directly address the screen's purpose is essential.
Adopting context-sensitive metrics will improve the interpretation and utility of CRISPR screen results.