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

  • Lei Xia
  • , Anastasia Komissarova
  • , Arielle Jacover
  • , Yehuda Shovman*
  • , Sebastian Arcila-Barrera
  • , Sharona Tornovsky-Babeay
  • , Milsee Mol Jaya Prakashan
  • , Abdelmajeed Nasereddin
  • , Inbar Plaschkes
  • , Yuval Nevo
  • , Idit Shiff
  • , Oshri Yosefov-Levi
  • , Tamara Izhiman
  • , Eleonora Medvedev
  • , Elad Eilon
  • , Asaf Wilensky
  • , Simon Yona
  • , Oren Parnas*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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.

Original languageEnglish
Article number6295
JournalNature Communications
Volume14
Issue number1
DOIs
StatePublished - 9 Oct 2023

Bibliographical note

Publisher Copyright:
© 2023, Springer Nature Limited.

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