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TiProD: the Tissue-specific Promoter Database.

Xin Chen1, Jian-min Wu, Klaus Hornischer

  • 1Centre of Bioinformatics, College of Life Sciences, National Laboratory of Protein Engineering and Plant Genetic Engineering, Peking University, Beijing 100871, China.

Nucleic Acids Research
|December 31, 2005
PubMed
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TiProD is a new database for human promoter sequences with known functional features. It enables users to explore tissue-specific gene expression and promoter activity, aiding in the study of gene regulation.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Understanding gene regulation is crucial in molecular biology.
  • Human promoter sequences play a key role in controlling gene expression.
  • Databases integrating promoter function and expression data are valuable research tools.

Purpose of the Study:

  • To introduce TiProD, a novel database of human promoter sequences.
  • To provide tools for querying promoters based on expression patterns and Gene Ontology (GO) terms.
  • To develop a measure for quantifying tissue-specificity of gene expression.

Main Methods:

  • Compilation of human promoter sequences with known functional features.
  • Development of a query system for individual promoters and expression patterns.

Related Experiment Videos

  • Implementation of retrieval functions based on tissue-specific activity and GO terms.
  • Definition of a quantitative measure for gene expression tissue-specificity.

    • Main Results:

    • TiProD database successfully integrates human promoter sequences and their functional information.
    • The database allows for flexible querying of promoters by expression patterns, tissue-specificity, and GO terms.
    • A novel measure for tissue-specificity enables discrimination between ubiquitous and specific gene expression.

    Conclusions:

    • TiProD serves as a valuable resource for researchers studying human gene regulation and promoter function.
    • The database facilitates the identification of tissue-specific promoters and associated genes.
    • The developed tissue-specificity measure enhances the analysis of gene expression patterns.