Jochen H.M. Prehn

This study shows that α-synuclein accumulation in dopaminergic neurons leads to mitochondrial dysfunction and changes in circadian gene expression, contributing to neuronal damage in Parkinson's disease.

This study uses spatial transcriptomics to show that ALDH1A1+ and ALDH1A1- midbrain dopaminergic neurons respond differently to alpha-synuclein overexpression, with distinct transcriptional changes over time.

The paper investigates cell engulfment in colorectal cancer, showing it creates competitive metabolic niches linked to clinical outcomes.

DREAMER-S uses attention-based multiple-instance learning to identify spatial features in 3D imaging data for classification, achieving high F1 scores in chemotherapy response prediction.

This paper develops a biomimetic scaffold that inhibits miR-133a to promote neurite outgrowth and angiogenesis in spinal cord repair through cytoskeletal remodelling.

This study identifies cytoplasmic androgen receptor (AR) localization and novel AR protein interactions in AI-resistant breast cancer, linking them to metabolic shifts and poor prognosis.

This paper identifies a five-protein stem cell signature using a deep neural network that predicts relapse in stage III colorectal cancer patients.

This study shows Mcl-1 accumulation and redistribution during the cell cycle increase MOMP thresholds, contributing to cell-to-cell variability in apoptosis susceptibility and intra-tumour heterogeneity.

The paper develops a computational model of mitochondrial bioenergetics and integrates it with experimental data from Parkinson's Disease models to predict molecular defects and provide a resource for interpreting bioenergetic experiments.

The paper introduces a multi-step filtering pipeline to remove human reads from WGS data, improving detection of Fusobacterium in rectal cancer samples confirmed by immunohistochemistry.

This study develops humanized glioblastoma PDOX models to study tumor-immune interactions and test immunotherapies in a human context.

This study uses high-resolution spatial proteomics to characterize colorectal cancer consensus molecular subtypes at single-cell resolution, revealing subtype-specific immune and metabolic features.

The paper investigates the spatial relationship between T cells and cancer cells in stage III CRC patients, finding that closer proximity of T cells to cancer cells is associated with better disease-free survival.

sncRNAP profiles and identifies differentially expressed sncRNAs from sRNAseq data, identifying potential disease biomarkers in hepatitis and PDAC datasets.

This study demonstrates functional P2X7R expression in human iPSC-derived neurons and astrocytes using calcium imaging and immunostaining.

This study shows that systemic delivery of Ant-134, timed with BBB disruption after status epilepticus, suppresses seizures in mice with long-lasting effects.

The paper identifies functional miRNAs and their targets involved in seizure suppression in temporal lobe epilepsy using animal models and functional screens.

This study finds that genetic obesity, not diet-induced obesity, reduces orexin/hypocretin immunoreactivity in the lateral hypothalamus of mice.