Susanne Häußler

This paper identifies LemA proteins as conserved drivers of bacterial membrane reorganization, involved in organelle and vesicle formation through interactions with divisome components and other membrane remodeling factors.

This study shows that loss of type I restriction-modification methyltransferases in Pseudomonas aeruginosa increases fluoroquinolone persistence through enhanced SOS response and slower growth.

This study identifies a ribosome-centered mechanism of resistance to antibacterial PNAs in E. coli, showing that mutations in ribosomal protein uS12 alter 30S assembly and translation-initiation dynamics, reducing PNA efficacy.

The paper tests if pathogen virulence affects antibiotic efficacy under controlled in vivo growth conditions and finds no such effect when growth rates are matched.

This paper introduces DRAP3R, a method for analyzing Pol III transcribed RNAs and their modifications, revealing new transcripts and epitranscriptomic changes in infected cells.

This study identifies diagnostic biomarkers for peri-implantitis by analyzing microbiome and metatranscriptome data from biofilm samples.

This study identifies cis non-coding genetic variants associated with gene expression changes in E. coli and P. aeruginosa pangenomes, revealing their role in antimicrobial resistance.

This study uses nanomotion technology to rapidly test Salmonella enterica's susceptibility to azithromycin, showing correlation with traditional susceptibility measures.

FlashFold predicts protein structures and stoichiometry faster than AlphaFold3 with minimal accuracy loss and supports custom sequence databases.

This study shows that pseudopaline-mediated zinc uptake in Pseudomonas aeruginosa enables clinically relevant phenotypes and influences infection outcomes.

BacSC is a computational pipeline for bacterial single-cell RNA sequencing data that automates quality control, dimension reduction, and clustering, improving subpopulation detection across multiple bacterial species.

The paper evaluates metagenomic software tools using realistic datasets, highlighting improvements in assembly and taxon profiling while identifying remaining challenges in virus/archaea detection and reproducibility.