Minee L. Choi

The paper uses deep learning to identify cell death-related heterogeneity in Parkinson's disease iPSC-derived neurons by analyzing intrinsic dimensionality.

This paper introduces a noninvasive framework using optical diffraction tomography and organelle-aware representation learning to detect mitochondrial dysfunction in live human neurons with high accuracy.

The paper compares metabolic stress resilience of hESC and hiPSC-derived neurons, finding hESCs show greater recovery capabilities under stress conditions.

The paper shows that astrocytic RNA editing via ADAR1 modulates immune responses to alpha-synuclein, contributing to neuroinflammation in Parkinson's disease.

The paper identifies novel SNCA transcripts in human dopaminergic neurons and demonstrates their impact on antisense oligonucleotide therapy for Parkinson's disease.

This study shows GLP-1R agonism improves Parkinson's disease by restoring neuronal insulin signaling and reducing glial inflammation, with clinical benefits in patients with higher baseline MAPK expression.

This study uses hiPSCs with SNCA mutations to identify early molecular events in synucleinopathy, showing protein aggregation precedes functional impairments in midbrain dopaminergic neurons.

The paper tracks α-synuclein conformational changes in neurons and shows mitochondrial involvement in oligomerization and toxicity.

This paper develops a method to generate highly enriched midbrain dopaminergic neurons from hiPSCs, which model Parkinson's disease features like synucleinopathy and mitochondrial dysfunction.