Biology subjects

Wolfram-Schauerte, M.

Publications and source records attributed to Wolfram-Schauerte, M..

4 recordsLinked to original sources

bioRxiv2026

The PhageExpressionAtlas reveals shared and unique transcriptional patterns across phage-host interactions

Time-resolved transcriptomic profiling has been used to study phage-host interactions for more than a decade. However, the resulting datasets are not readily accessible for custom re-analysis, and resources are lacking that provide standardized processing, storage, and analysis of transcriptomes from phage infections. Here, we present the PhageExpressionAtlas, the first bioinformatics resource for storing time-resolved dual RNA-sequencing data from phage infections. This data was processed uniformly using a custom analysis pipeline and is presented for interactive exploration through visualisation. The PhageExpressionAtlas currently hosts 42 datasets from 23 studies. Using the PhageExpressionAtlas, we replicate key findings from original publications and extend hypothesis testing across multiple phage-host systems. By systematically querying and analyzing the underlying database, we evaluate approaches to phage gene classification and show that uncharacterized phage genes are expressed across all infection phases. Moreover, we provide a comprehensive view of the expression dynamics of anti-phage defenses as well as host- and phage-encoded anti-defense systems in the infection context, indicating unique and conserved patterns of transcriptional regulation underlying bacterial anti-phage immunity and phage counter-strategies. Together, the PhageExpressionAtlas is a unifying resource that democratizes transcriptomics-driven analyses of phage-host interactions and supports integrative cross-study assessment.

bioinformatics↗

bioRxiv2026

Gradient boosting regression and convolution improve deconvolution of bulk transcriptomes

Bulk cell type deconvolution aims to estimate cell type composition from bulk transcriptomic data. So-called pseudobulk simulation, where single-cell RNA-seq data is aggregated to bulk-like expression profiles, represents a central concept in training and testing of deconvolution tools. However, deconvolution methods often lack interpretability and struggle to generalize from simulated to real data. We present GrooD (GradientBoostedDeconvolution), a second-generation deconvolution tool that uses gradient boosted trees trained on pseudobulks from scRNA-seq references. GrooDs pseudobulk simulations account for donor and condition variability to better model the complexity of real-world transcriptomes. We show that GrooD achieves state-of-the-art and superior deconvolution performance on human blood biospecimen. Furthermore, Grood provides visualizations of feature loadings and deconvolution results, that allow mechanistic insights for biological interpretation. We further integrate a convolution framework to assess the transcriptomic similarity between bulk and pseudobulk data, showing that higher similarity can indicate better deconvolution performance. GrooD deconvolution of blood transcriptomes from a large sepsis patient cohort identifies meaningful shifts in immune cell type composition that are associated with disease severity. By combining interpretability, robustness, and heterogeneous pseudobulk simulation, GrooD represents a powerful, user-friendly second-generation tool for cell type deconvolution.

bioinformatics↗

bioRxiv2024

T4 phage RNA is NAD-capped and alters the NAD-capepitranscriptome of Escherichia coli during infection through a phage-encoded decapping enzyme

Nicotinamide adenine dinucleotide (NAD+) serves as a cap-like structure on cellular RNAs (NAD-RNAs) across all domains of life, including Escherichia coli. Beyond its role in metabolism, NAD+ also functions as a regulatory molecule in phage defense mechanisms. However, NAD-RNAs have not yet been identified during bacteriophage infections, and the mechanisms governing their synthesis and degradation in this context remain unknown. To address this gap, we used T4 phage infection of E. coli as a defined and well-characterized model system to study NAD-RNAs at the virus-host interface. Here, we report the first identification and characterization of NAD-RNAs during phage infection. Using time-resolved NAD captureSeq, we identified NAD-capped host and T4 phage transcripts and observed that the set of enriched NAD-capped RNAs varies across different infection phases. Importantly, NAD captureSeq identifies NAD-capped transcripts based on enrichment and does not directly report the fraction of molecules that are NAD-capped. Consequently, temporal changes in enrichment may reflect altered NAD-capping, altered transcript abundance, or a combination of both. We provide evidence that NAD-RNAs are generated by the host RNA polymerase by initiating transcription with NAD+ at canonical transcription start sites. By quantifying intracellular NAD+ and bulk NAD-capped RNA during infection, we observe parallel decreases in both parameters over the course of infection. Furthermore, we characterize NudE.1, a T4 phage-encoded Nudix hydrolase previously shown to have in vitro NAD-RNA decapping activity. Together, our work presents the first time-resolved analysis of an RNA modification in a host-phage system, defining the landscape, dynamics, and turnover of NAD-capped RNAs during infection and providing a framework for future studies addressing their regulatory functions in phage biology.

microbiology↗

bioRxiv2024

Temporal epigenome modulation enables efficient bacteriophage engineering and functional analysis of phage DNA modifications

Lytic bacteriophages hold substantial promise in medical and biotechnological applications. CRISPR-Cas systems offer a way to explore these mechanisms via site-specific phage mutagenesis. However, phages can resist Cas-mediated cleavage through extensive DNA modifications like cytosine glycosylation, hindering mutagenesis efficiency. Our study utilizes the eukaryotic enzyme NgTET to temporarily reduce phage DNA modifications, facilitating Cas nuclease cleavage and enhancing mutagenesis efficiency. This approach enables precise DNA targeting and seamless point mutation integration, exemplified by deactivating specific ADP-ribosyltransferases crucial for phage infection. Furthermore, by temporally removing DNA modifications, we elucidated the effects of these modifications on T4 phage infections without necessitating gene deletions. Our results present a strategy enabling the investigation of phage epigenome functions and streamlining the engineering of phages with cytosine DNA modifications. The described temporal modulation of the phage epigenome is valuable for synthetic biology and fundamental research to comprehend phage infection mechanisms through the generation of mutants.

microbiology↗