Study Design

• Tissues
• Technology
  • Microarray Production
  • Analysis Techniques
• Network Motifs
  • Network Analysis

• Raw Data
• Literature Evidence of Autoregulation
• Binding Table of Analyzed Data
• Binding Site Presence in Autoregulatory Promoters
• Supporting Material (pdf)
• ChIP Protocol (pdf)

To understand how complex transcriptional regulatory networks produce gene expression programs, it is useful to identify the simplest units of commonly used network architecture. We suspect that these simple units, or network motifs, provide specific regulatory capacities such as positive and negative feedback loops. The frequency with which cells use individual motifs reveals the regulatory strategies that were selected during evolution. These motifs can be assembled into network structures that help explain how a complex gene expression program is regulated.