Kristian Händler

The paper uses single-nucleus RNA sequencing to identify cell type-specific dysregulation in Parkin-deficient neuron-microglia co-cultures, revealing distinct pathway disturbances in dopaminergic neurons and microglia.

The paper introduces searchSTR, a tool for genome-wide STR somatic instability analysis, and finds associations between STR instability and age, sex, brain morphology, and neurodegeneration markers.

This study compares trio, singleton, and standard genome sequencing in rare disease diagnosis, finding trio sequencing has the highest diagnostic yield.

This study identifies molecular factors shaping brain-resident CD8+ T cell formation and function in health and disease.

This study creates vascularized midbrain organoids to model Parkinson's disease, showing increased neuroinflammation and dopaminergic neuron vulnerability in patient-derived assembloids.

This study investigates the cell type-specific roles of AhR and AhRR in diet-induced obesity and fibrosis, finding that AhRR deficiency protects from metabolic dysfunction and liver damage, while AhR deficiency worsens outcomes.

The paper shows adult mouse SCN astrocytes respond to glucocorticoids through GR activation, influencing circadian rhythms and highlighting astrocytic roles in time-keeping.

This paper integrates transcriptome and chromatin state data to develop a scalable pipeline for drug discovery, predicting cancer cell line sensitivity and guiding compound development.

This paper introduces Swarm Learning, a decentralized machine learning approach for disease classification using transcriptomic data, demonstrating its effectiveness in developing classifiers for COVID-19, tuberculosis, and leukemias while preserving privacy.

This study identifies two independent mechanisms by which TRIM71 inhibits let-7 miRNA maturation and activity, impacting developmental and oncogenic processes.

The paper generates synthetic embryo-like structures from ESCs through transcription factor-mediated reprogramming, showing implantation and decidual tissue formation.

This study uses single-cell RNA-seq and computational methods to analyze macrophage states in COPD patients, revealing transcriptional changes and metabolic shifts associated with the disease.

The paper develops a rule-based data-informed approach to create a consensus map of the human mononuclear phagocyte cell space using computational integration and single-cell RNA-sequencing.

This study investigates how IL4 signalling and NCOR2 regulate the reprogramming of human monocytes into dendritic cells and macrophages, revealing distinct transcriptional and functional profiles based on cytokine exposure timing.