James E. Galagan

Footprint-seq quantitatively maps protein-DNA interactions in vitro with high resolution and sensitivity, demonstrating its effectiveness for bacterial systems.

The paper develops a nicotine biosensor using a microbial-derived redox enzyme, demonstrating detection over a clinically relevant range.

This paper develops a wearable nicotine biosensor using NicA2 and CycN, achieving high sensitivity and selectivity for real-time sweat monitoring.

The paper maps DNA binding of 139 E. coli TFs using ChIP-Seq and trains BoltzNet, a neural network that predicts TF binding energy from DNA sequence, validated with biophysical experiments.

This study identifies DicC, a cryptic prophage transcription factor in E. coli, and shows it regulates hundreds of host genes, influencing bacterial phenotypes independently of other prophage genes.

The paper expands RegulonDB to integrate high-throughput binding data with existing knowledge on gene regulation in E. coli K-12, enhancing its comprehensiveness and utility.