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Related Concept Videos

CRISPR/Cas9 Genome Editing01:28

CRISPR/Cas9 Genome Editing

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The CRISPR-Cas system serves as a bacterial defense mechanism against invading genetic elements such as viruses and plasmids, forming the foundation for its adaptation as a powerful genome-editing tool. Originally discovered in prokaryotes, this system has been repurposed to revolutionize genetic engineering across a wide range of organisms, including plants, animals, and humans. The core component, Cas9, is an endonuclease derived from Streptococcus pyogenes, capable of introducing...
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  • 1Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, 15213, PA, USA.

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Single-cell CRISPR screens can now map gene regulation genome-wide. A new method, SCEPTRE, improves accuracy by accounting for technical biases in perturbation detection.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Single-cell CRISPR screens are powerful for genome-wide regulatory element mapping.
  • Technical factors like sequencing depth introduce confounding effects, impacting expression measurement and perturbation detection.
  • Existing methods face calibration issues due to these technical challenges.

Purpose of the Study:

  • To address calibration issues in single-cell CRISPR screens.
  • To develop a robust computational method for analyzing single-cell perturbation data.
  • To accurately infer regulatory relationships between perturbations and gene expression.

Main Methods:

  • Proposed SCEPTRE (single-cell perturbation screens via conditional resampling).
  • Infers associations by resampling perturbations based on a cell-specific detection probability model.
  • Validated on two independent single-cell CRISPR screen datasets.

Main Results:

  • SCEPTRE demonstrates excellent calibration and sensitivity on CRISPR screen data.
  • Identified hundreds of novel regulatory relationships.
  • Findings were supported by orthogonal biological evidence.

Conclusions:

  • SCEPTRE provides a reliable method for analyzing single-cell CRISPR screens.
  • The approach effectively corrects for technical biases, improving regulatory element mapping.
  • Enables discovery of new gene regulatory networks with high confidence.