Clare L. Parish

This paper develops a hydrogel-based system to reprogram astrocytes into neurons by delivering reprogramming factors and valproic acid, enhancing neural repair.

This study shows that astrocytes in the substantia nigra pars compacta of A53T transgenic mice have more -synuclein aggregates and reactive morphology compared to wild-type mice.

The paper introduces NeuroGuard, a suicide gene system that selectively eliminates non-neuronal cells after transplantation, enhancing the safety and predictability of cell therapies.

This study identifies Netrin-1 as a DA-specific cue that enhances graft integration and functional recovery in Parkinsonian models without off-target effects.

The paper uses machine learning to analyze neuronal morphology in Parkinson's disease iPSC-derived neurons, identifying genotype-specific mitochondrial and lysosomal abnormalities.

FLAMESv2 is a flexible R/Bioconductor package for analyzing long-read single-cell RNA-seq data, demonstrating field-leading performance in isoform analysis and cell-type identification.

This study compares dopamine and cortical neurons with PD mutations to identify cellular dysfunctions linked to different pathological phenotypes.

BLAZE identifies 10x cell barcodes from long-read nanopore scRNA-seq data without requiring matched short-read data, outperforming existing tools in accuracy and reducing false positives.

The paper identifies and characterizes a reference iPSC line, KOLF2.1J, for standardized use in collaborative studies across multiple differentiation protocols and assays.

This study shows that early viral delivery of GDNF improves survival and function of human stem cell grafts in Parkinson's disease models.

The paper reports the generation of four iPSC lines from PBMCs of an ADHD patient and their healthy sibling, confirming pluripotency and differentiation potential.