New Nucleic Acids Research paper: Exploring the genetic landscape of ciprofloxacin-induced DNA supercompaction in Escherichia coli

Work by Krister Vikedal from the Bacterial Defense Systems and Antimicrobial Resistance Group led by James Booth and Emily Helgesen at the Department of Microbiology shows that combining high-content imaging with machine learning is a powerful, scalable way to map how bacterial genes shape chromosome organization and DNA damage responses. The modular nature of the developed method means it can readily be extended to other gene libraries, stress conditions, reporters, or bacterial species. These insights bring us a step closer to understanding — and ultimately combating — antibiotic resistance.

















