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Related Experiment Videos

PromoLign: a database for upstream region analysis and SNPs.

Tao Zhao1, Li-Wei Chang, Howard L McLeod

  • 1Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110, USA.

Human Mutation
|May 18, 2004
PubMed
Summary

This study introduces PromoLign, a tool for analyzing single nucleotide polymorphisms (SNPs) in transcription factor binding sites. It aids in understanding gene regulation and SNP function through cross-species sequence alignment.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Functional annotation of genomic regulatory regions is crucial for understanding transcriptional regulation.
  • Phylogenetic footprinting aids in identifying conserved regulatory elements by aligning orthologous gene sequences across species.
  • Single nucleotide polymorphisms (SNPs) within transcription factor (TF) binding sites can alter gene regulation.

Purpose of the Study:

  • To develop a tool for integrating SNP data with TF binding profiles within conserved genomic regions.
  • To facilitate the functional evaluation of SNPs and enhance the study of transcription regulation.

Main Methods:

  • Utilizing phylogenetic footprinting for cross-species sequence alignment of orthologous genes.
  • Developing an online database application, PromoLign, to present SNPs and TF binding profiles.

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  • Implementing a hyperlinked graphical interface for data visualization and interaction.

    • Main Results:

    • PromoLign integrates human-mouse orthologous sequence alignments with SNP and TF binding data.
    • The application provides a user-friendly interface for exploring potential regulatory impacts of SNPs.
    • Demonstrates the utility of correlating SNPs with TF sites for functional genomic studies.

    Conclusions:

    • PromoLign serves as a valuable resource for researchers studying transcriptional regulation and SNP function.
    • The tool supports diverse genetic studies, including association genetics, population genetics, and pharmacogenetics.
    • Facilitates a deeper understanding of how genetic variations influence gene expression through TF binding site alterations.