Biology subjects

Frisch, T.

Publications and source records attributed to Frisch, T..

4 recordsLinked to original sources

bioRxiv2025

Phage resistance impacts antibiotic susceptibility and virulence in Staphylococcus aureus

As antibiotic resistance continues to rise worldwide, phage therapy offers a promising solution by harnessing viruses that infect and kill bacteria. However, phage-resistance may develop, compromising therapy. Phage-resistance has primarily been linked to changes in major phage receptors that for the human pathogen Staphylococcus aureus are the cell-wall linked wall teichoic acids (WTA). To identify additional factors contributing to phage-resistance, S. aureus was evolved under selective pressure from lytic phages, including candidates from therapeutic phage cocktails, to obtain resistant clones. A third of the phage-resistant clones acquired mutations associated with cell-wall changes previously linked with phage resistance, namely in femA, involved in peptidoglycan crossbridge formation, and tagO, encoding the initiator of the WTA biosynthesis. The remaining clones had mutations in pathways not previously associated with phage-resistance, including nucleoside catabolism (deoC1), polyamine import (potAB) and DNA/RNA replication (cshA, ligA), suggesting that phage-resistance may be associated with phage-driven host takeover. Antibiotic susceptibility and virulence were diversely affected by the mutations; mutations in tagO increased {beta}-lactams sensitivity and attenuated virulence, whereas mutations in femA/ligA or cshA increased staphylococcal virulence in Galleria mellonella. This work demonstrates the involvement of several novel bacterial pathways in phage resistance, highlighting the complexity behind phage-bacterial interactions.

microbiology↗

bioRxiv2025

The pcnB gene sustains Shigella flexneri virulence

The enteropathogen Shigella flexneri employs a Type Three Secretion System (T3SS) to colonize intestinal epithelial cells. Genes encoding the T3SS are located on a large IncFII virulence plasmid, pINV. T3SS expression comes at the expense of slowed Shigella growth and is therefore strictly controlled by both transcriptional and post-transcriptional mechanisms. Following up on a recent genome-wide screen, we here show that the chromosomal gene pcnB, encoding the poly-A polymerase I (PAP-I), slows Shigella growth at 37{degrees}C, while at the same time promotes early colonization of a human epithelial enteroid model. Proteomic profiling revealed that pcnB drives global increase of the Shigella T3SS virulence program. Accordingly, pcnB sustains pINV replication to a level optimal for Shigella virulence. This is achieved through increased degradation of the antisense RNA CopA, involved in plasmid replication control. The pcnB effect on pINV replication was found to also ensure longer-term intraepithelial expansion of Shigella following human intestinal epithelium invasion. Our findings exemplify how an optimal pINV level is necessary for the execution of Shigellas infection cycle. AUTHOR SUMMARYBacterial infections represent a major global threat. Understanding the genetic determinants promoting infections is crucial to overcome this threat. Shigella is an intracellular bacterial pathogen that invades and disseminates in the intestinal epithelium, causing bacillary dysentery in humans. Shigellas ability to cause disease relies on the delivery of effector proteins into the host cells through an injection machinery, with most of the genes involved in this process located on a large virulence plasmid. Here we show that the chromosomal gene pcnB sustains an optimal virulence plasmid level. This is crucial for Shigella to maximize virulence protein expression and thereby efficiently invade, replicate and spread within the intestinal epithelium.

microbiology↗

bioRxiv2020

sPLINK: A Federated, Privacy-Preserving Tool as a Robust Alternative to Meta-Analysis in Genome-Wide Association Studies

Genome-wide association studies (GWAS) have been widely used to unravel connections between genetic variants and diseases. Larger sample sizes in GWAS can lead to discovering more associations and more accurate genetic predictors. However, sharing and combining distributed genomic data to increase the sample size is often challenging or even impossible due to privacy concerns and privacy protection laws such as the GDPR. While meta-analysis has been established as an effective approach to combine summary statistics of several GWAS, its accuracy can be attenuated in the presence of cross-study heterogeneity. Here, we present sPLINK (safe PLINK), a user-friendly tool, which performs federated GWAS on distributed datasets while preserving the privacy of data and the accuracy of the results. sPLINK neither exchanges raw data nor does it rely on summary statistics. Instead, it performs model training in a federated manner, communicating only model parameters between cohorts and a central server. We verify that the federated results from sPLINK are the same as those from aggregated analyses conducted with PLINK. We demonstrate that sPLINK is robust against heterogeneous data (phenotype and confounding factors) distributions across cohorts while existing meta-analysis tools considerably lose accuracy in such scenarios. We also show that sPLINK achieves practical runtime, in order of minutes or hours, and acceptable network bandwidth consumption for chi-square and linear/logistic regression tests. Federated analysis with sPLINK, thus, has the potential to replace meta-analysis as the gold standard for collaborative GWAS. The user-friendly, readily usable sPLINK tool is available at https://exbio.wzw.tum.de/splink.

bioinformatics↗

bioRxiv2019

MS Atlas - A molecular map of brain lesion stages in progressive multiple sclerosis

Multiple sclerosis (MS) is a chronic inflammatory neurodegenerative disorder of the central nervous system with an untreatable late progressive phase in a high percentage of patients. Molecular maps of different stages of brain lesion evolution in patients with progressive MS (PMS) are missing but critical for understanding disease development and to identify novel targets to halt progression. We introduce the first MS brain lesion atlas (msatlas.dk), developed to address the current challenges of understanding mechanisms driving the fate of PMS on lesion basis. The MS Atlas gives means for testing research hypotheses, validating candidate biomarkers and drug targets. The MS Atlas data base comprises comprehensive high-quality transcriptomic profiles of 73 brain white matter lesions at different stages of lesion evolution from 10 PMS patients and 25 control white matter samples from five patients with non-neurological disease. The MS Atlas was assembled from next generation RNA sequencing of post mortem samples using strict, conservative preprocessing as well as advanced statistical data analysis. It comes with a user-friendly web interface, which allows for querying and interactively analyzing the PMS lesion evolution. It fosters bioinformatics methods for de novo network enrichment to extract mechanistic markers for specific lesion types and pathway-based lesion type comparison. We describe examples of how the MS Atlas can be used to extract systems medicine signatures. We also demonstrate how its interface can interactively condense and visualize the atlas content. This compendium of mechanistic PMS white matter lesion profiles is an invaluable resource to fuel future multiple sclerosis research and a new basis for treatment development.

systems biology↗