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Related Experiment Videos

S/MARt DB: a database on scaffold/matrix attached regions.

Ines Liebich1, Jürgen Bode, Matthias Frisch

  • 1Research Group Bioinformatics, GBF, Mascheroder Weg 1, D-38124 Braunschweig, Germany. ili@gbf.de

Nucleic Acids Research
|December 26, 2001
PubMed
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S/MARt DB is a relational database detailing scaffold/matrix attached regions (S/MARs) and nuclear matrix proteins. This resource aids research into chromosomal attachment to the nuclear scaffold.

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Scaffold/matrix attached regions (S/MARs) are crucial DNA elements involved in organizing the genome within the nucleus.
  • Nuclear matrix proteins play a key role in the attachment of chromatin to the nuclear scaffold, influencing gene regulation.
  • Understanding S/MARs and associated proteins is essential for comprehending genome architecture and function.

Purpose of the Study:

  • To establish and maintain S/MARt DB, a comprehensive relational database for S/MARs and nuclear matrix proteins.
  • To integrate data from scientific literature and provide a web-based submission interface.
  • To facilitate research by linking S/MAR information with transcription factor binding data.

Main Methods:

  • Data extraction from peer-reviewed scientific publications.

Related Experiment Videos

  • Development of a relational database structure for S/MAR and protein information.
  • Implementation of a World Wide Web interface for data access and submission.
  • Main Results:

    • S/MARt DB provides a curated collection of S/MAR sequences and associated nuclear matrix proteins.
    • The database links S/MAR information with data from the TRANSFAC database, enhancing its utility.
    • A web interface is available for non-profit research access and direct data submission.

    Conclusions:

    • S/MARt DB serves as a valuable, freely accessible resource for researchers studying genome organization and nuclear architecture.
    • The database facilitates the study of chromosomal attachment mechanisms and their regulation.
    • Integration with transcription factor data enhances the potential for discovering regulatory roles of S/MARs.