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🌱 110 Transcription Factors

Comprehensive coverage of abiotic stress responses in Arabidopsis thaliana

πŸ”₯ Heat Stress Response

Analyze Heat Shock Factors and protein folding networks

πŸ’§ Drought Networks

Explore ABI5 and osmotic stress regulatory pathways

❄️ Cold Adaptation

Investigate CBF/DREB cold-responsive elements

πŸ§‚ Salt Tolerance

Discover SOS pathway and ion homeostasis networks

πŸ’‘ Quick Tip

Click on network nodes to see gene details and regulatory connections!

πŸ—„οΈ
Database Overview

CTF-BIND is a specialized database covering transcription factors involved in abiotic stress responses. It helps you understand how plants adapt to environmental challenges like heat, cold, salinity, and drought.

🎯 Quick Search Demo

πŸ•ΈοΈ
Network Visualization

Explore dynamic gene networks and see how they change under different stress conditions.

Environmental Conditions

25Β°C
15 ppt
20%

Network Legend

Heat Shock TFs
Cold Response TFs
Salt Tolerance TFs
Drought Response TFs
Target Genes
Regulatory Edge

Active Target Genes

Network Analysis

Interactive transcription factor-gene regulatory network. Nodes represent TFs (circles) and target genes (squares). Edge thickness indicates binding strength.

24
Nodes
18
Edges
6
Active TFs
12
Expressed

πŸ”
Analysis Features

πŸ“Š Gene Expression

Visualize expression patterns across timepoints with interactive bubble plots.

🧬 Gene Ontology

Access GO terms and biological processes with direct links to QuickGO.

πŸ›€οΈ Pathway Analysis

Explore KEGG pathways and molecular routes for stress responses.

🎯 DNA Motifs

Examine binding sites and sequence logos for transcription factors.

🀝 Protein Interactions

Discover protein-protein binding partners and regulatory complexes.

βš–οΈ Network Comparison

Compare networks across different conditions and timepoints.

πŸ’Ύ
Data Accessibility & Downloads

Access comprehensive datasets from CTF-BIND for your research. Download network data, regulatory modules, transcription factor-target relationships, and gene enrichment analyses in standard formats compatible with popular bioinformatics tools.

278
Transcription Factors
4
Stress Conditions

πŸ•ΈοΈNetwork Data

Complete regulatory network topology with node and edge attributes for network analysis tools.

  • Node attributes (TF/Gene type, expression levels)
  • Edge weights (binding confidence scores)
  • Network topology metrics

🧩Network Modules

Co-regulated gene modules and regulatory clusters identified through community detection algorithms.

  • Module membership assignments
  • Module enrichment scores
  • Stress-specific module activity
  • Hierarchical module structure

🎯TF-Target Data

Comprehensive transcription factor-target gene relationships with binding evidence and regulatory effects.

  • TF-target binding predictions
  • Binding site coordinates
  • Regulatory effect (activation/repression)
  • Condition-specific binding

πŸ“ŠGene Enrichment

Gene Ontology and pathway enrichment results for stress-responsive gene sets.

  • GO term enrichment (BP, MF, CC)
  • KEGG pathway analysis
  • Statistical significance scores
  • Stress condition comparisons

πŸ“‹ Data Format Preview

Source Target Interaction_Type Binding_Score Expression_Correlation
DREB2A RD29A activation 0.87 0.76
HSF1 HSP70 activation 0.92 0.84
CBF1 COR15A activation 0.79 0.71
SOS1 NHX1 activation 0.83 0.68

πŸ› οΈ
CTF-BIND Tool

Analyze your own sequences to predict transcription factor binding sites under specific conditions. Upload FASTA sequences and transcriptomic data to get binding predictions in minutes.

Traditional ChIP-seq

  • ⏱️ Takes weeks to complete
  • πŸ’° Costs thousands of dollars
  • πŸ§ͺ Requires specialized equipment
  • πŸ‘¨β€πŸ”¬ Needs expert technical skills

CTF-BIND Tool

  • ⚑ Results in 2-3 minutes
  • πŸ†“ Free to use online
  • πŸ’» Just needs web browser
  • 🎯 User-friendly interface