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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...

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Related Experiment Video

Updated: Jun 14, 2025

Pooled CRISPR-Based Genetic Screens in Mammalian Cells

Pooled CRISPR-Based Genetic Screens in Mammalian Cells

Published on: September 4, 2019

Guide assignment in single-cell CRISPR screens using crispat.

Jana M Braunger¹, Britta Velten^1,2

¹Centre for Organismal Studies, Heidelberg University, Heidelberg, 69120, Germany.

Bioinformatics (Oxford, England)

|September 6, 2024

Summary

This summary is machine-generated.

Choosing the right guide assignment strategy is crucial for accurate analysis of pooled single-cell CRISPR screens. The new crisprat tool helps researchers select the optimal strategy for functional genomics studies.

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Last Updated: Jun 14, 2025

Pooled CRISPR-Based Genetic Screens in Mammalian Cells

Pooled CRISPR-Based Genetic Screens in Mammalian Cells

Published on: September 4, 2019

Cell Surface Receptor Identification Using Genome-Scale CRISPR/Cas9 Genetic Screens

Cell Surface Receptor Identification Using Genome-Scale CRISPR/Cas9 Genetic Screens

Published on: June 6, 2020

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis

Published on: April 25, 2022

Area of Science:

Functional genomics
CRISPR screening technologies
Computational biology

Background:

Pooled single-cell CRISPR screens are vital for large-scale genetic intervention studies.
Accurate cell-to-guide assignment is a critical yet challenging step in data analysis.
Existing methods lack systematic benchmarks and accessible software for strategy comparison.

Purpose of the Study:

Introduce crispat, a Python package for guide assignment in single-cell CRISPR screens.
Facilitate the selection of appropriate guide assignment strategies.
Improve the power and accuracy of functional genomics analyses.

Main Methods:

Development of a Python package named crispat.
Implementation of various guide assignment strategies for comparison.
Demonstration using four pooled single-cell CRISPR interference screens.

Main Results:

crispat revealed significant differences in cell assignment, target gene downregulation, and discovery counts across strategies.
The choice of guide assignment strategy impacts the power of single-cell CRISPR screens.
Highlights the necessity of optimizing guide assignment for robust results.

Conclusions:

The crispat tool aids researchers in selecting optimal guide assignment strategies.
Proper strategy selection is essential for maximizing insights from CRISPR screens.
Enhances the reliability and efficiency of functional genomics research.