Multiplex single-cell chemical genomics reveals the kinase dependence of the response to targeted therapy

Cell Genom. 2024 Feb 14;4(2):100487. doi: 10.1016/j.xgen.2023.100487. Epub 2024 Jan 25.

Abstract

Chemical genetic screens are a powerful tool for exploring how cancer cells' response to drugs is shaped by their mutations, yet they lack a molecular view of the contribution of individual genes to the response to exposure. Here, we present sci-Plex-Gene-by-Environment (sci-Plex-GxE), a platform for combined single-cell genetic and chemical screening at scale. We highlight the advantages of large-scale, unbiased screening by defining the contribution of each of 522 human kinases to the response of glioblastoma to different drugs designed to abrogate signaling from the receptor tyrosine kinase pathway. In total, we probed 14,121 gene-by-environment combinations across 1,052,205 single-cell transcriptomes. We identify an expression signature characteristic of compensatory adaptive signaling regulated in a MEK/MAPK-dependent manner. Further analyses aimed at preventing adaptation revealed promising combination therapies, including dual MEK and CDC7/CDK9 or nuclear factor κB (NF-κB) inhibitors, as potent means of preventing transcriptional adaptation of glioblastoma to targeted therapy.

Keywords: adaptive resistance; chemical genetics; chemical genomics; combined single-cell genetic and chemical screens; gene by environment interactions; glioblastoma; kinase-directed therapy; receptor tyrosine kinase signaling; single-cell CRISPR screens; single-cell chemical transcriptomics.

MeSH terms

  • Cell Cycle Proteins / therapeutic use
  • Genomics
  • Glioblastoma* / drug therapy
  • Humans
  • Mitogen-Activated Protein Kinase Kinases / therapeutic use
  • Protein Serine-Threonine Kinases
  • Receptor Protein-Tyrosine Kinases / therapeutic use
  • Signal Transduction

Substances

  • Receptor Protein-Tyrosine Kinases
  • Mitogen-Activated Protein Kinase Kinases
  • CDC7 protein, human
  • Protein Serine-Threonine Kinases
  • Cell Cycle Proteins