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Updated: Jul 24, 2025

A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells
Published on: July 3, 2013
Multiplex single-cell chemical genomics reveals the kinase dependence of the response to targeted therapy
José L McFaline-Figueroa1,2, Sanjay Srivatsan2,3, Andrew J Hill2
1Department of Biomedical Engineering, Columbia University, New York, NY, USA.
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 NF-kB inhibitors, as potent means of preventing transcriptional adaptation of glioblastoma to targeted therapy.
Insights
This study introduces sci-Plex-Gene-by-Environment (sci-Plex-GxE) for large-scale single-cell screening. It reveals adaptive signaling in glioblastoma and suggests combination therapies to overcome drug resistance.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Chemical genetic screens offer insights into cancer drug response but lack single-gene resolution.
- Understanding gene-environment interactions is crucial for personalized cancer therapy.
Conclusions:
- sci-Plex-GxE enables large-scale, unbiased discovery of gene-environment interactions in cancer.
- Adaptive signaling pathways in glioblastoma can be targeted to enhance therapeutic efficacy.
- Combination therapies involving MEK inhibitors show promise for overcoming drug resistance in glioblastoma.
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