Z-scores outperform similar methods for analyzing CRISPR paralog synthetic lethality screens

Juihsuan Chou1,2, Nazanin Esmaeili Anvar1, Reem Elghaish1,2

  • 1Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Genome Biology
|July 3, 2025
PubMed

Insights

Multiplex CRISPR screens using Cas12a can identify synthetic lethal interactions, which are crucial for cancer therapy. Analyzing data with Z-transformed dLFC (ZdLFC) or rescaled dLFC (RdLFC) improves consistency over standard dLFC.

Area of Science:

  • Genomics
  • Cancer Biology
  • Bioinformatics

Background:

  • Genetic screens are vital for discovering cancer therapeutic targets.
  • Single-gene knockout screens miss redundant genes, limiting target identification.
  • Multiplex CRISPR systems (Cas9, Cas12a) enable genetic interaction assays, but analysis methods vary.

Purpose of the Study:

  • To evaluate different data analysis approaches for multiplex CRISPR/Cas12a screens.
  • To identify reliable methods for detecting synthetic lethal interactions in cancer cell lines.
  • To compare delta log fold change (dLFC), Z-transformed dLFC (ZdLFC), and rescaled dLFC (RdLFC) for analyzing CRISPR screen data.

Main Methods:

  • Performed four in4mer CRISPR/Cas12a screens in cancer cell lines.
  • Applied delta log fold change (dLFC), Z-transformed dLFC (ZdLFC), and rescaled dLFC (RdLFC) analysis methods.
  • Assessed the consistency of synthetic lethal pair identification across different cell lines and methods.

Main Results:

  • ZdLFC and RdLFC demonstrated more consistent identification of synthetic lethal pairs compared to unscaled dLFC.
  • ZdLFC analysis proved effective without needing a pre-existing set of known genetic interactors.
  • The study highlights the utility of ZdLFC and RdLFC for robust synthetic lethality discovery.

Conclusions:

  • ZdLFC and RdLFC are superior analytical methods for multiplex CRISPR/Cas12a screens.
  • These improved methods enhance the discovery of tumor-specific synthetic lethal interactions.
  • This work contributes to refining genetic screening analysis for cancer therapeutic target identification.