Publications
Nature communicationsOct 2023 |
14
(
1
),
6295
DOI:
10.1038/s41467-023-41792-8

Systematic identification of gene combinations to target in innate immune cells to enhance T cell activation

Xia, Lei; Komissarova, Anastasia; Jacover, Arielle; Shovman, Yehuda; Arcila-Barrera, Sebastian; Tornovsky-Babeay, Sharona; Jaya Prakashan, Milsee Mol; Nasereddin, Abdelmajeed; Plaschkes, Inbar; Nevo, Yuval; Shiff, Idit; Yosefov-Levi, Oshri; Izhiman, Tamara; Medvedev, Eleonora; Eilon, Elad; Wilensky, Asaf; Yona, Simon; Parnas, Oren
Product Used
Variant Libraries
Abstract
Genetic engineering of immune cells has opened new avenues for improving their functionality but it remains a challenge to pinpoint which genes or combination of genes are the most beneficial to target. Here, we conduct High Multiplicity of Perturbations and Cellular Indexing of Transcriptomes and Epitopes (HMPCITE-seq) to find combinations of genes whose joint targeting improves antigen-presenting cell activity and enhances their ability to activate T cells. Specifically, we perform two genome-wide CRISPR screens in bone marrow dendritic cells and identify negative regulators of CD86, that participate in the co-stimulation programs, including Chd4, Stat5b, Egr2, Med12, and positive regulators of PD-L1, that participate in the co-inhibitory programs, including Sptlc2, Nckap1l, and Pi4kb. To identify the genetic interactions between top-ranked genes and find superior combinations to target, we perform high-order Perturb-Seq experiments and we show that targeting both Cebpb and Med12 results in a better phenotype compared to the single perturbations or other combinations of perturbations.
Product Used
Variant Libraries

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