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Updated: Aug 2, 2026
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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
Published on: March 7, 2018
TRANSFAC: transcriptional regulation, from patterns to profiles
1BIOBASE GmbH, Halchtersche Strasse 33, D-38304 Wolfenbüttel, Germany. vma@biobase.de
Nucleic Acids Research
|January 10, 2003
Summary
The TRANSFAC database now includes expression patterns for human and mouse transcription factors and enhanced tools for analyzing binding sites. This update improves the study of eukaryotic transcriptional regulation.
Area of Science:
- Bioinformatics
- Molecular Biology
- Genomics
Background:
- The TRANSFAC database is a key resource for eukaryotic transcriptional regulation.
- It contains information on transcription factors, target genes, and regulatory binding sites.
- Previous versions required updates to incorporate new data and functionalities.
Purpose of the Study:
- To describe the recent extensions and developments of the TRANSFAC database.
- To introduce new features for analyzing transcription factor binding sites and expression patterns.
- To enhance the usability and scope of the TRANSFAC resource.
Main Methods:
- Integration of structured expression pattern data for human and mouse transcription factors using the CYTOMER database.
- Enhancement of the Match tool for matrix-based search of transcription factor binding sites, including tissue-specific profiles.
- Expansion of the GENE table with links to external databases (LocusLink, RefSeq, OMIM) and introduction of direct links between factors and genes.
Main Results:
- The TRANSFAC database has been significantly expanded in terms of entries, scope, and data structure.
- New structured fields for transcription factor expression patterns in human and mouse are now available.
- The Match tool's functionality has been improved with enhanced profiles for binding site analysis.
- The GENE table now includes more comprehensive linking to external resources and internal relationships.
Conclusions:
- The updated TRANSFAC database provides a more comprehensive and user-friendly resource for studying transcriptional regulation.
- Enhanced tools and data integration facilitate deeper analysis of transcription factor binding and gene expression.
- The extended resource supports research in molecular biology, genomics, and bioinformatics.
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