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Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures
Published on: December 26, 2016
Functional profiling: from microarrays via cell-based assays to novel tumor relevant modulators of the cell cycle
Dorit Arlt1, Wolfgang Huber, Urban Liebel
1Division of Molecular Genome Analysis, German Cancer Research Center, Heidelberg, Germany.
Abstract:
Cancer transcription microarray studies commonly deliver long lists of "candidate" genes that are putatively associated with the respective disease. For many of these genes, no functional information, even less their relevance in pathologic conditions, is established as they were identified in large-scale genomics approaches. Strategies and tools are thus needed to distinguish genes and proteins with mere tumor association from those causally related to cancer. Here, we describe a functional profiling approach, where we analyzed 103 previously uncharacterized genes in cancer relevant assays that probed their effects on DNA replication (cell proliferation). The genes had previously been identified as differentially expressed in genome-wide microarray studies of tumors. Using an automated high-throughput assay with single-cell resolution, we discovered seven activators and nine repressors of DNA replication. These were further characterized for effects on extracellular signal-regulated kinase 1/2 (ERK1/2) signaling (G1-S transition) and anchorage-independent growth (tumorigenicity). One activator and one inhibitor protein of ERK1/2 activation and three repressors of anchorage-independent growth were identified. Data from tumor and functional profiling make these proteins novel prime candidates for further in-depth study of their roles in cancer development and progression. We have established a novel functional profiling strategy that links genomics to cell biology and showed its potential for discerning cancer relevant modulators of the cell cycle in the candidate lists from microarray studies.
Insights
Researchers developed a new method to identify cancer-causing genes from large gene lists. This functional profiling approach distinguishes tumor-associated genes from those causally involved in cancer development.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Cancer microarray studies yield numerous candidate genes with unknown functions.
- Distinguishing tumor-associated genes from causally relevant ones is crucial for cancer research.
Purpose of the Study:
- To develop and validate a functional profiling approach to identify cancer-relevant genes from microarray data.
- To analyze previously uncharacterized genes for their roles in DNA replication, cell proliferation, and tumorigenicity.
Main Methods:
- A high-throughput, single-cell resolution assay was used to analyze 103 uncharacterized genes.
- Assays probed effects on DNA replication, extracellular signal-regulated kinase 1/2 (ERK1/2) signaling, and anchorage-independent growth.
Main Results:
- Seven activators and nine repressors of DNA replication were identified.
- Key proteins affecting ERK1/2 signaling and anchorage-independent growth (tumorigenicity) were discovered.
Conclusions:
- The functional profiling strategy effectively links genomics to cell biology.
- Identified proteins are prime candidates for further investigation into their roles in cancer development and progression.

