Sonja Hänzelmann

This study uses retrograde tracing to characterize neuron-tumor networks in glioblastoma and shows that targeting these networks can enhance therapeutic outcomes.

DISCERN improves cell clustering and subtype detection by reconstructing missing gene expression, identifying novel T cell types in COVID-19 and predicting disease severity.

This study demonstrates that RNAlater preserves kidney biopsies effectively for single nucleus RNA sequencing, proteomics, and histopathology, but not metabolomics.

The paper performs a multiomic analysis of ALS patients and mouse models to identify sex differences, molecular subclusters, and the MAPK pathway as a therapeutic target.

The paper identifies an epigenetic neural signature in glioblastoma that correlates with poor prognosis and therapeutic vulnerability.