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Optimal methods for analyzing targeted pairwise knockout screens.
Chou, Juihsuan; Anvar, Nazanin Esmaeili; Elghaish, Reem; Chen, Junjie; Hart, Traver.
Afiliación
  • Chou J; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Anvar NE; The UT Health/MD Anderson Graduate School of Biological Sciences, Houston, Texas.
  • Elghaish R; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Chen J; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Hart T; The UT Health/MD Anderson Graduate School of Biological Sciences, Houston, Texas.
bioRxiv ; 2024 Aug 20.
Article en En | MEDLINE | ID: mdl-39229040
ABSTRACT

Background:

Synthetic lethality offers a promising strategy for cancer treatment by targeting genetic vulnerabilities unique to tumor cells, leading to selective tumor cell death. However, single-gene knockout screens often miss functional redundancy due to paralog genes. Multiplex CRISPR systems, including various Cas9 and Cas12a platforms, have been developed to assay genetic interactions, yet no systematic comparison of method to identify synthetic lethality from CRISPR screens has been conducted.

Results:

We evaluated data from four in4mer CRISPR/Cas12a screens in cancer cell lines, using three bioinformatic approaches to identify synthetic lethal interactions delta log fold change (dLFC), Z-transformed dLFC (ZdLFC), and rescaled dLFC (RdLFC). Both ZdLFC and RdLFC provided more consistent identification of synthetic lethal pairs across cell lines compared to the unscaled dLFC method.

Conclusions:

The ZdLFC method offers a robust framework for scoring synthetic lethal interactions from paralog screens, providing consistent results across different cell lines without requiring a training set of known positive interactors.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos