Christoph Bueschl

The paper identifies zinc-mediated immunity in Arabidopsis thaliana, showing that microbial cell wall components trigger zinc accumulation and defense gene expression independent of major signaling pathways.

This study evaluates three biological nitrification inhibitors in two soils, finding that MBOA is the most effective with minimal off-target effects and greatest persistence.

This study evaluates the effects of exogenous biological nitrification inhibitors on barley growth, soil nitrogen dynamics, and microbial communities in an alkaline agricultural soil.

The paper systematically evaluates the metabolic and transcriptional effects of SLC superfamily members, identifying new substrates and functional groups.

The paper identifies a non-enzymatic role of NUDT5 in repressing purine de novo synthesis by scaffolding PPAT, with implications for cancer treatment and MTHFD1 deficiency.

The paper introduces specXplore, an interactive dashboard for exploring mass spectral data, enabling structural hypothesis generation through visualization and spectral similarity analysis.

The paper introduces a normalization method, MIX, that combines pharmacokinetic and statistical approaches to correct size effects in metabolomic time series data, improving biomarker detection.

The paper identifies and annotates heterogeneous multimeric metabolite ions in LC-MS data using labeled and unlabeled Pichia pastoris extracts and demonstrates their presence in public and additional datasets.

PeakBot is a machine learning tool for detecting chromatographic peaks in LC-HRMS data, achieving high accuracy in distinguishing peaks from background signals.

CPExtract automatically searches LC-HRMS data for user-defined isotopolog patterns from labeled tracers, enabling pathway-specific metabolite detection in fungi.