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Related Experiment Videos

Target gene identification from expression array data by promoter analysis.

T Werner1

  • 1Genomatix Software GmbH, Karlstrasse 55, 80333, Munich, Germany. werner@gsf.de

Biomolecular Engineering
|February 27, 2001
PubMed
Summary
This summary is machine-generated.

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DNA microarrays reveal gene expression patterns, but understanding regulation requires analyzing promoter sequences. Bioinformatics analysis of these sequences identifies regulatory modules, elucidating gene networks and functions.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • DNA microarrays and expression arrays generate vast data linking cDNA sequences to gene expression patterns.
  • Current software analyzes DNA array data against mRNA sequences to determine gene expression timing and location.
  • Transcriptional regulatory networks are governed by promoter and enhancer sequences, not directly by cDNA sequences on arrays.

Purpose of the Study:

  • To leverage the complete human genome sequence for identifying gene regulatory regions.
  • To develop bioinformatics methods for analyzing promoter sequences to understand transcriptional regulation.
  • To establish a method for elucidating gene function through promoter structure analysis.

Main Methods:

  • Obtaining promoter sequences from genomic sequences via exon mapping.

Related Experiment Videos

  • Utilizing promoter prediction tools to identify promoters in genomic sequences, especially for 5'-incomplete cDNAs.
  • Applying comparative promoter analysis to co-regulated genes to model transcription factor binding site organization.

    • Main Results:

    • Identification of promoter modules responsible for the common regulation of genes using bioinformatics.
    • Development of models describing higher-order transcription factor binding site organization within promoter regions.
    • Demonstration that promoter modules represent molecular mechanisms driving regulatory network influence on gene expression.

    Conclusions:

    • Bioinformatics analysis of promoter sequences is crucial for understanding transcriptional regulatory networks.
    • This approach can identify functional features of genes by linking them through common promoter structures.
    • Comparative promoter analysis provides a powerful tool for deciphering gene regulation and function.