Franz Lennard Ricklefs

BRIDGE correlates MRI with cellular data to predict brain disease states using deep learning and high-resolution microscopy.

This paper develops and validates an optimized workflow for isolating and characterizing extracellular vesicle subsets from diverse sources using FACS and imaging techniques.

This study shows that extracellular vesicles from cortical neurons alter spontaneous activity in recipient neurons by increasing postsynaptic potential amplitude.

This study compares extracellular vesicles from three odontogenic cell types, finding donor-specific differences and highlighting their therapeutic potential.

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

This study identifies ADAM10-mediated shedding of human PrP at Y226 and shows sPrP associates with misfolded protein aggregates in neurodegenerative diseases.

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