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Related Experiment Videos

Time-dependent changes in ARE-driven gene expression by use of a noise-filtering process for microarray data.

Jiang Li1, Jeffrey A Johnson

  • 1School of Pharmacy, University of Wisconsin, Madison, Wisconsin 53705, USA.

Physiological Genomics
|June 5, 2002
PubMed
Summary
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This study identified time-dependent gene expression changes in antioxidant responsive element (ARE)-driven genes induced by tert-butylhydroquinone (tBHQ) in neuroblastoma cells. Noise-filtering methods revealed novel ARE-driven genes involved in detoxification and neuronal development.

Area of Science:

  • Molecular Biology
  • Genomics
  • Neuroscience

Background:

  • Antioxidant responsive element (ARE)-driven genes play crucial roles in cellular defense mechanisms.
  • tert-butylhydroquinone (tBHQ) is a known inducer of ARE-driven genes.
  • Understanding the temporal dynamics of gene expression is vital for deciphering cellular responses.

Purpose of the Study:

  • To identify time-dependent gene expression profiles of ARE-driven genes induced by tBHQ.
  • To apply noise-filtering methods for accurate analysis of microarray data.
  • To discover novel ARE-driven genes and their functions.

Main Methods:

  • Utilized large-scale oligonucleotide microarrays to analyze gene expression in IMR-32 human neuroblastoma cells treated with tBHQ (10 microM).

Related Experiment Videos

  • Implemented noise-filtering techniques, including rank analysis and 3x3 matrix comparison, to minimize variance and eliminate false positives.
  • Employed self-organizing map (SOM) for gene clustering to identify patterns of co-regulated genes.

    • Main Results:

    • Identified 101 out of 9,670 genes exhibiting dynamic expression changes between 4 and 48 hours post-tBHQ treatment.
    • Gene clustering revealed that previously identified ARE-driven genes did not always group together, suggesting complex regulatory mechanisms.
    • Discovered novel ARE-driven genes involved in detoxification, antioxidant defense, neuronal proliferation, differentiation, and signal transduction.

    Conclusions:

    • The applied noise-filtering process effectively identified time-dependent changes in ARE-driven gene expression.
    • Multiple transcription factors and signaling pathways likely contribute to the transcriptional activation of the ARE.
    • This study expands the known repertoire of ARE-driven genes and their functional significance in neuronal cells.