Wolfgang Reintsch

The paper uses imaging to study the spatial distribution of betaII-spectrin in human motor neuron axons, revealing a gap-and-patch pattern in the actin/spectrin membrane skeleton.

This paper develops an automated assay to quantify synuclein aggregate formation in human dopaminergic neurons using pS129-syn as a marker, showing dose- and time-dependent increases with PFFs and genetic factors affecting aggregate formation.

This study uses adeno-associated virus to image and analyze 3D morphology and connectivity of neurons and astrocytes in living human midbrain organoids over time.

The paper describes a high-content imaging assay to screen small molecules that reduce cellular uptake of α-synuclein preformed fibrils in hiPSC-derived cells, identifying compounds that effectively lower intracellular PFF load.

This study uses CRISPR/Cas9 screening to identify genes regulating α-synuclein fibril uptake via heparan sulfate proteoglycans, revealing SLC39A9 and C3orf58 as key modulators.

This study uses a convolutional neural network to classify Parkinson's disease models from control cells with high accuracy using microscopy images.

This study compares FMR1 knock-out and Fragile X patient iPSC-derived neuronal models, finding shared transcriptional and functional impairments in neuronal activity and differentiation.

Over half of 614 commercial antibodies for 65 human neuroscience proteins failed a knockout-controlled assay, yet most targets had a well-performing antibody; recombinants performed best.

This study develops a workflow to generate and analyze iPSC-derived motor neuron spheroids, confirming their marker expression and functional activity.

This study develops microfabricated disks to scale up midbrain organoid generation, reducing labor and variability while maintaining viability for Parkinson's disease research.