Bernd Wollscheid

MOAgent discovers biomarker candidates in multi-omics data using gradient-boosted decision trees, addressing data challenges and providing accessible analysis tools.

The paper constructs a tissue-specific protein interaction atlas using proteomic data from 11 human tissues, identifying key drivers of inter-tissue variation and prioritizing disease genes in brain disorders.

The paper investigates circadian changes in microglial transcriptional, proteomic, and functional profiles in mice, finding significant differences between light and dark phases and impaired circadian regulation in a neurodevelopmental disorder model.

DIP-MS resolves protein complex isoforms using deep learning and mass spectrometry, revealing new subunits in human prefoldin complexes.

The paper identifies a cell surface protein complex, the HDL synapse, that modulates HDL uptake into endothelial cells, with AMPN playing a key role.

The paper identifies HDL receptors and their interactions in human endothelial cells, revealing MERTK as a novel co-receptor for HDL binding and uptake.

This paper introduces LUX-MS, a light-triggered optoproteomic technology to map surfaceome receptor interactions and nanoscale organization, revealing insights into intercellular signaling and drug action.

The paper compares the proteome of remyelination and developmental myelination in mice, finding distinct protein compositions and identifying potential therapeutic targets.

This study shows that enzymatic dissociation of brain tissue alters transcriptomic and proteotype profiles compared to mechanical dissociation.

This paper standardizes a proteotype analysis workflow across multiple international sites to enable distributed, reproducible proteomic data generation for precision medicine.

The paper analyzes surfaceome dynamics during neuronal development and synaptic plasticity, revealing surface protein reorganization independent of global proteostasis.

The paper develops a DIA-based proteotyping strategy for HDL particles, revealing significant proteotype differences between healthy individuals and those with T2DM or CHD.

The paper develops a proteogenomic resource for Listeria monocytogenes to analyze genotype-proteotype-phenotype relationships using proteotyping and genomic databases.

The paper develops an integrative proteogenomics strategy to improve prokaryotic genome annotation by combining multiple resources and experimental data, identifying novel ORFs and correcting errors.