Guido Lenz

The paper develops a functional autophagy gene set signature to classify autophagy states and links autophagy induction and lysosomal activity to poor prognosis in glioblastoma.

CloVarS generates synthetic single-cell lineage data to model time-lapse microscopy experiments and test biological hypotheses.

This study identifies TSPO-mediated mitochondrial-nuclear contacts as a mechanism enabling glioblastoma cells to evade TMZ chemotherapy, showing that modulating TSPO restores chemosensitivity.

This paper introduces a new dataset for cell detection in microscopy images using oriented bounding boxes and evaluates its effectiveness for cancer biology tasks.

SCOUT identifies and analyzes outlier cells in cancer single-cell data to uncover biologically significant information not apparent in whole-population analysis.