Carol X.‐Q. Chen

This study shows that USP15 deletion in astrocytes and microglia reduces neuroinflammation and slows synucleinopathy progression in mice, with human data linking USP15 expression to Parkinson's disease risk.

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 paper develops a human vocal fold organ-on-chip model to study mucosal responses to particulate matter, finding platform-specific differences in gene expression and barrier function.

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.

This study shows that restoring calpastatin activity improves motor neuron function and survival in C9orf72 ALS models by enhancing synaptic proteolysis and NMJ integrity.

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 shows that glucosylceramide-induced ectosomes transmit pathogenic α-synuclein between neurons in Parkinson's disease.

This study investigates how LRRK2 kinase activity affects GCase activity in microglia under inflammatory conditions, finding that LRRK2 variants influence GCase response to interferon gamma.

The paper establishes a validated antibody platform for ALS research, identifying high-quality antibodies and revealing protein expression patterns in neurological cell types.

This study uses 3D iPSC-derived motor neuron spheroids with SOD1 mutations to show ALS-related phenotypes and genetic variability effects.

This study investigates the role of cathepsin B in Parkinson's disease by analyzing genetic variants and manipulating catB function in cell models to assess its impact on lysosomal activity and alpha-synuclein clearance.

This study shows that homozygous ALS-linked TARDBP mutations cause synaptic abnormalities and reduced activity in human iPSC-derived motor neurons without affecting TDP-43 localization or aggregation.

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.

The paper optimizes an iMGL protocol to generate microglia-like cells from an ALSP patient, revealing functional defects in migration and phagocytosis.

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

The paper develops a flow cytometry pipeline called CelltypeR to annotate and characterize cell types in brain organoids, identifying dopamine neuron subtypes and tracking cell type dynamics over time.

The paper generates PRKN and PINK1-KO and double KO human iPSC lines using CRISPR/Cas9 to model Parkinson's disease.

Auto-qPCR automates qPCR data analysis, reducing errors and time by providing a web-based tool for DNA quantification and gene expression analysis.

This study uses midbrain organoids from SNCA triplication patients to model synucleinopathy features, showing increased alpha-synuclein expression and aggregation linked to dopaminergic neuron loss.

This study introduces a streamlined CRISPR workflow to generate isogenic iPSCs with specific ALS-related mutations for modeling the disease.