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.

Cancer Research
|September 6, 2005
PubMed

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.

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