Stephan Kamrad

This study identifies YBX3 as an oncoprotein in mesothelioma that drives cell proliferation through SLC7A5/LAT1-mediated amino acid uptake and shows JPH203 as a potential therapeutic agent.

This study shows that the antidepressant duloxetine disrupts RNA-protein interactions in both human and bacterial cells, revealing a new mechanism of drug action.

The paper uses laboratory evolution to identify yeast resistance mechanisms against agrochemicals and shows how evolved yeast can protect honeybee hosts.

CarveMe-GutMicrobes reconstructs genome-scale metabolic models for gut microbes from genomic data, showing high accuracy in predicting gene essentiality and metabolite secretion.

This study investigates interactions between low-calorie sweeteners and xenobiotics on gut bacteria, finding synergistic effects that alter bacterial growth and host cell responses.

This study investigates the off-target antibacterial effects of 1076 industrial and agricultural chemicals on 22 human gut bacteria, revealing 588 previously unreported interactions.

This study shows human gut bacteria can accumulate PFAS, with some species like Bacteroides uniformis accumulating them to high concentrations, and identifies mechanisms involving transmembrane transport and efflux pumps.

The paper quantifies yeast cell responses to varying metal ions, revealing widespread proteomic and genetic impacts and common metal responsiveness properties.

This study examines how bacterial proteomes and metabolomes change in response to interspecies interactions in gut microbiota co-cultures, revealing extensive molecular reorganization and emergent metabolic pathways.

The paper uses phenomics and machine learning to predict protein functions in fission yeast, identifying novel roles and validating predictions through experimental validation.

The paper records proteomes for non-essential gene knock-outs in yeast to uncover principles of protein expression and annotate gene function.

The paper functionally profiles long intergenic non-coding RNAs (lincRNAs) in fission yeast by analyzing mutant phenotypes across various conditions.

This study introduces improved methods for studying chronological lifespan in fission yeast, identifying new ageing-associated genes with potential relevance to human ageing.

The paper shows that mitochondrial respiration in fission yeast supports rapid proliferation during fermentation by supplying Krebs-cycle derived amino acids.

Pyphe automates and improves analysis of microbial fitness screens by processing colony size, viability, and growth curve data from low-cost imaging.

The paper identifies a natural variant in fission yeast Pyk1 that reduces glycolytic flux, increases respiration, and enhances oxidative-stress resistance but decreases growth.