AMR is a global problem. We therefore embrace the principles of open science and collaboration, and are proud to publish our data, so that scientists around the world can see, expand and build on our work.
Dataset – reComBat: batch-effect removal in large-scale multi-source gene-expression data integration
Dataset – Antibiotic persistence of intracellular Brucella abortus
Dataset – Combining CRISPRi and metabolomics for functional annotation of compound libraries
Dataset – CRISPRi-seq for genome-wide fitness quantification in bacteria
Dataset – Dynamic persistence of intracellular bacterial communities of uropathogenic Escherichia coli in a human bladder-chip model of urinary tract infections
Dataset – Early invasion of the bladder wall by solitary bacteria protects uropathogenic E. coli from antibiotics and neutrophil swarms in an organoid model
Dataset – The antibiotic darobactin mimics a beta-strand to inhibit outer membrane insertase