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Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer
Published on: May 21, 2019
Dissecting phenotypic responses of the druggable targetome in cancers
Euna Jeong1, Choa Park2, Sung Ung Moon1
1Research Institute of Women's Health, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
Abstract:
Although a large amount of screening data comprising target genes and/or drugs tested against cancer cell line panels are available, different assay conditions and readouts limit the integrated analysis and batch-to-batch comparison of these data. Here, we systematically produced and analyzed the anticancer effect of the druggable targetome to understand the varied phenotypic outcomes of diverse functional classes of target genes. A library of siRNAs targeting ~4,800 druggable genes was screened against cancer cell lines under 2D and/or 3D assay conditions. The anticancer effect was simultaneously measured by quantifying cell proliferation and/or viability. Hit rates varied significantly depending on assay conditions and/or phenotypic readouts. Functional classes of hit genes were correlated with the microenvironment difference between the 2D monolayer cell proliferation and 3D sphere formation assays. Furthermore, multiplexing of cell proliferation and viability measures enabled us to compare the sensitivity and resistance responses to the gene knockdown. Many target genes that inhibited cell proliferation increased the single-cell-level viability of surviving cells, leading to an increase in self-renewal potential. In this study, combinations of parallel 2D/3D assays and multiplexing of cell proliferation and viability measures provided functional insights into the varied phenotypic outcomes of the cancer targetome.
Insights
This study analyzed the anticancer effects of druggable genes using 2D and 3D cell culture models. Gene knockdown impacts varied by assay, revealing complex responses in cancer cell proliferation and viability.
Area of Science:
- Cancer Biology
- Genomics
- Drug Discovery
Background:
- Existing cancer cell line screening data are limited by assay variability, hindering integrated analysis.
- Understanding the phenotypic outcomes of targeting druggable genes is crucial for cancer therapy development.
Purpose of the Study:
- To systematically analyze the anticancer effects of targeting the druggable human targetome.
- To investigate how different assay conditions (2D vs. 3D) and readouts affect observed gene functions.
- To correlate gene functions with microenvironmental differences and understand phenotypic plasticity.
Main Methods:
- Screened a library of siRNAs targeting approximately 4,800 druggable genes in cancer cell lines.
- Utilized both 2D monolayer and 3D sphere formation assay conditions.
- Simultaneously measured cell proliferation and viability as phenotypic readouts.
Main Results:
- Hit rates and observed gene effects significantly varied based on assay conditions and readouts.
- Functional gene classes showed distinct correlations with the 2D and 3D microenvironments.
- Gene knockdown targeting proliferation often increased surviving cell viability and self-renewal potential.
Conclusions:
- Parallel 2D/3D assays and multiplexed readouts provide deeper functional insights into the cancer targetome.
- The study highlights the importance of considering assay context when interpreting gene function in cancer.
- Findings offer a framework for understanding complex phenotypic responses to gene modulation in cancer.
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