Hiranyamaya Dash

This paper challenges the assumption of selective vulnerability in Parkinson's disease by analyzing post-mortem data and finding substantial neuronal loss beyond dopaminergic and pigmented populations.

This study shows that single-cell experiments often lack power to detect small-effect genes, even with 600 donors, and highlights the impact of sequencing depth and cell counts on results.

The paper presents a method to isolate rare cell populations from human post-mortem brain with high purity, demonstrating 100% microglial purity using fluorescence-activated nuclear sorting.

The paper systematically identifies cell type-specific mechanisms for 86.7% of rare disease phenotypes using transcriptomic data and the Human Phenotype Ontology, with results accessible via an interactive web portal.

MotifPeeker benchmarks epigenomic profiling methods using motif enrichment as a metric, providing an HTML report with minimal input.

The paper optimizes TIP-seq peak calling parameters to improve peak precision and alignment with known motifs.