William Plumbly

This paper introduces an instrument-free method for single-cell transcriptional profiling using kinetic confinement and bifunctional indexing reagents, enabling rapid and scalable analysis.

The paper analyzes single-cell transcriptomics data from Parkinson's Disease patients and controls to identify cell type-specific molecular responses and pathways involved in neurodegeneration.

This study uses MEA assays to show that L-type calcium channel inhibitors affect synchronous firing in hiPSC-derived neuronal networks, suggesting their utility for studying psychiatric risk genes.