EhecRegNet

EhecRegNet predicts and maps transcriptional gene regulatory interactions in pathogenic Escherichia coli strains, including Enterohemorrhagic E. coli (EHEC) and Enteroaggregative E. coli (EAEC), to support comparative and pathogenicity-focused regulatory analysis.

Key Features:

• Database Integration: Integrates regulatory networks derived from RegulonDB for E. coli K-12 and extends these networks to 16 pathogenic E. coli strains via inter-species transfer.
• Predictive Analysis: Uses a dataset of 3,489 known regulations from E. coli K-12 to predict approximately 40,913 potential regulatory interactions in human-pathogenic E. coli strains.
• Conservation-based Inference: Identifies evolutionarily conserved regulatory sites within the DNA sequences of E. coli K-12 and pathogenic strains to infer regulatory interactions.
• Regulatory Network Focus: Analyzes transcriptional regulatory networks and genetic switches controlling bacterial pathogenicity, survival, and reproduction.

Scientific Applications:

• EHEC Regulatory Mechanism Research: Supports investigation of genetic control mechanisms in Enterohemorrhagic E. coli by characterizing its transcriptional regulatory networks.
• Therapeutic Target Identification: Aids identification of candidate regulatory targets for novel treatments by predicting large-scale interactions involved in bacterial pathogenicity.
• Comparative Genomics and Evolution: Enables comparative analysis between E. coli K-12 and pathogenic strains to study conservation and evolution of gene regulatory networks.

Methodology:

EhecRegNet applies a computer-aided approach using RegulonDB-derived interactions from E. coli K-12 (3,489 known regulations), transfers interactions across 16 pathogenic strains by detecting evolutionarily conserved regulatory sites in DNA sequences, and thereby predicts ~40,913 regulatory interactions.