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KBERG: KnowledgeBase for Estrogen Responsive Genes.

Suisheng Tang1, Zhuo Zhang, Sin Lam Tan

  • 1Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613. suisheng@i2r.a-star.edu.sg

Nucleic Acids Research
|November 9, 2006
PubMed
Summary
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We developed the KnowledgeBase for Estrogen Responsive Genes (KBERG) to understand how estrogen affects gene transcription. KBERG analyzes conserved promoter motifs and gene ontology to explore estrogen-responsive genes.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Estrogen significantly influences human physiology by regulating the transcription of numerous genes.
  • Understanding the functional characteristics of these estrogen-responsive genes is crucial for deciphering estrogen's biological roles.

Purpose of the Study:

  • To develop a comprehensive database, KBERG, for exploring estrogen-responsive genes.
  • To investigate transcription regulation mechanisms of estrogen-responsive genes through conserved promoter motifs.
  • To facilitate functional annotation and exploration of these genes.

Main Methods:

  • Derived genes from the Estrogen Responsive Gene Database (ERGDB).
  • Identified conserved promoter motifs in orthologous genes (human, mouse, rat) using ab initio discovery within [-1200, +500] regions.

Related Experiment Videos

  • Linked motifs to transcription factor binding sites via the TRANSFAC database.
  • Integrated Gene Ontology (GO) and eVOC for functional and co-expression analysis.
  • Main Results:

    • KBERG integrates gene information, conserved promoter motifs, transcription factor binding sites, and functional annotations (GO, eVOC).
    • The system facilitates the exploration of gene co-expression patterns using human EST libraries.
    • Identified conserved cis-elements in promoter regions reflect evolutionary sequence preservation.

    Conclusions:

    • KBERG provides a user-friendly platform for the functional exploration and annotation of estrogen-responsive genes.
    • The database links to multiple external resources, enhancing its utility for researchers.
    • Analysis of conserved motifs offers insights into the transcriptional regulation of estrogen-affected genes.