Jan Georg Hengstler

This study links polygenic scores for intelligence to general intelligence using resting-state EEG graph metrics, showing parieto-frontal brain connectivity mediates the genetic association.

This paper develops a digital twin model to simulate liver fibrosis patterns, showing that ECM distribution results from cell death zones and biomechanical compression.

The paper identifies elevated basal MET phosphorylation as a marker of hepatocyte dysregulation in liver disease, correlating with patient outcomes after surgery.

The paper uses PDE modeling and image analysis to show that nuclear phosphorylation and AKT interaction regulate YAP and TAZ shuttling dynamics in response to APAP-induced liver injury.

This study examines how sleep deprivation affects cortical excitability, plasticity, and cognitive functions like learning and memory in humans.

This study identifies microsteatosis and mild inflammation as key features of liver tolerance to repeated toxic injuries, using a mouse model and multi-omics analysis.

The paper identifies selective path integration deficits in Alzheimer's disease risk carriers using virtual navigation tasks and fMRI, linking them to grid cell dysfunction in the entorhinal cortex.

CRUP predicts condition-specific regulatory units by analyzing histone modification ChIP-seq data and linking enhancers to target genes in rheumatoid arthritis.

The paper identifies partially methylated domains (PMDs) as widespread epigenomic features across human and mouse cells, showing cell-type specificity and links to gene expression, replication timing, and proliferation.

normR normalizes ChIP-seq data to improve enrichment calling in different histone modification regimes.

This paper introduces TEPIC, a method that combines open-chromatin data with TF binding affinities to predict gene expression, achieving results comparable to TF ChIP-seq.