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Updated: Jan 29, 2026

Pooled shRNA Library Screening to Identify Factors that Modulate a Drug Resistance Phenotype
Published on: June 17, 2022
Lymphoma and Leukemia Cell Vulnerabilities and Resistance Identified by Compound Library Screens
Katarzyna Tomska1, Sebastian Scheinost1, Thorsten Zenz2
1Molecular Therapy in Haematology and Oncology, National Center for Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Abstract:
Response to anticancer agents is often restricted to subsets of patients. The recognition of factors underlying this heterogeneity and the identification of biomarkers associated with response to drugs would greatly improve the efficacy of drug treatment. Platforms that can comprehensively map drug response in high-throughput ex vivo provide a unique tool to identify associated biomarkers and provide hypotheses for mechanisms underlying variable response. Such screens can be performed on cell lines and short-term cultures of primary cells to take advantage of the respective models' strength, which include, e.g., the ability to silence genes in cell lines and the "indefinite" supply of primary cells where clonal selection can be avoided. Cohorts of such samples represent the natural diversity of cancers, including rarer mutations and combinatorial patterns of mutations.We here summarize a simple and scalable method for the measurement of viability after drug exposure based on ATP measurements as a surrogate for viability, which we use to measure and understand drug response in cell lines and primary cells.
Insights
Identifying biomarkers for anticancer drug response is crucial. This study presents a scalable ATP-based viability assay for high-throughput drug screening in cell lines and primary cells to understand treatment heterogeneity.
Area of Science:
- Oncology
- Pharmacology
- Biotechnology
Background:
- Anticancer agent efficacy varies significantly among patients, necessitating identification of response factors.
- Biomarkers for drug response are essential to improve cancer treatment outcomes.
- High-throughput ex vivo drug response platforms can identify biomarkers and elucidate response mechanisms.
Purpose of the Study:
- To present a simple, scalable method for measuring anticancer drug response.
- To utilize ATP measurements as a surrogate for cell viability.
- To understand drug response variability in cancer cell lines and primary cells.
Main Methods:
- Developed a high-throughput drug screening method using ATP measurements.
- Applied the method to assess drug response in cancer cell lines.
- Applied the method to assess drug response in short-term cultures of primary cancer cells.
Main Results:
- The ATP-based assay provides a scalable measurement of cell viability after drug exposure.
- The method allows for comprehensive mapping of drug response.
- The platform facilitates the identification of biomarkers and hypotheses for drug response mechanisms.
Conclusions:
- The described method is effective for high-throughput ex vivo drug screening.
- This approach aids in understanding drug response heterogeneity in cancer.
- The platform supports biomarker discovery for personalized cancer therapy.
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