Jens Hansen

The paper introduces predicTox, a database integrating clinical risk scores and gene expression data to identify genomic variants and pathways linked to drug-induced cardiotoxicity.

The paper presents a multi-modal atlas of human kidney disease, identifying cellular and spatial mechanisms of injury resolution or failure and linking them to clinical outcomes.

MBCO PathNet integrates and visualizes functionally related pathways from transcriptomic and proteomic data using ontologies, providing pie charts, bar diagrams, heatmaps, and timelines.

The paper identifies cardiotoxic drug signatures using bulk transcriptomics and integrates them with genomic and single-cell data to predict toxicity mechanisms.

The paper uses ontologies to integrate clinical, pathological, and molecular kidney data for precision medicine analysis.

This study identifies a four-drug combination that promotes axonal regeneration in the optic nerve of rats by targeting subcellular processes, leading to functional recovery.

The paper identifies SCI-induced changes in axonal RNA, including circular RNAs, and shows that reducing ADAR1 promotes axonal outgrowth.

The paper creates a high-resolution cellular atlas of healthy and injured kidney cell states and niches using single-cell and spatial technologies, identifying molecular signatures and pathways related to kidney injury.

Boldine improves locomotor function and reduces glial activation in a mouse model of spinal cord injury by modulating calcium signaling and gene expression.

The paper constructs a reference tissue atlas of the human kidney using multi-omics data to identify cell types, pathways, and genes across nephron segments and interstitium.

The paper identifies extracellular histones as new inhibitors of CNS axonal regeneration, showing they induce growth cone collapse and can be reversed by activated protein C.

This paper introduces structural gene expression signatures (sGES) derived from protein structure features, showing their utility in identifying robust biological signatures across datasets and experimental platforms.

This study shows that the ApoE4 variant in mice leads to worse recovery and reduced neuronal sprouting after spinal cord injury compared to ApoE3.

The paper constructs a tissue- and organ-based subcellular-function atlas of obesity-related genes and pathways using publicly available datasets and integration methods.

This study identifies WT1 as a transcriptional repressor that decreases memory strength and promotes memory flexibility by regulating synaptic plasticity and learning outcomes.

The paper uses simulations and experiments to show that imbalances between higher-level subcellular processes like vesicle transport and microtubule growth lead to dystrophic bulb formation in neurite outgrowth.

The paper develops an ontology to model subcellular processes and their interactions to predict whole cell functions from omics data.

This study compares 3-DGE and conventional mRNAseq, finding similar gene expression results with 3-DGE offering cost savings and scalability.

The paper develops clinically-weighted transcriptomic signatures to predict protein kinase inhibitor-associated cardiotoxicity using mRNA sequencing and elastic net regression.