Andrea I. Krahn

An automated workflow for quantifying the formation of synuclein aggregates in human dopaminergic neurons

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.

Applications of adeno-associated virus for 3D single-cell morphometric analysis in iPSC-derived midbrain organoids.

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.

A high-content imaging workflow to screen for molecules that reduce cellular uptake of α-synuclein preformed fibrils

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.

A deep learning convolutional neural network distinguishes neuronal models of Parkinson's disease from matched controls

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

Defining the Neural Kinome: Strategies and Opportunities for Small Molecule Drug Discovery to Target Neurodegenerative Diseases

The paper discusses the potential of kinase inhibitors for neurodegenerative diseases, highlighting the need for validated targets and strategies for drug discovery.

The Landscape of Parkin Variants Reveals Pathogenic Mechanisms and Therapeutic Targets in Parkinson’s Disease

The paper classifies Parkin variants into functional groups based on their impact on mitophagy and stability, revealing potential therapeutic targets for Parkinson’s disease.