Naz Taskin

The paper presents a barcoded multiplex strategy to screen enhancer AAVs using single-cell RNA sequencing and taxonomy mapping, but finds significant technical and biological noise complicates accurate expression pattern analysis.

This study shows that cell type-specific AADC expression in Parkinson's disease models reduces motor deficits and dyskinesia more effectively than broad targeting.

The paper develops a cross-species enhancer-AAV toolkit for targeting specific cell types in the basal ganglia across species, validated in mouse and macaque.

The paper analyzes multi-modal Patch-seq data from macaque striatum to reveal morphoelectric diversity and functional specialization of neuronal cell types, highlighting primate-specific features and differences from rodents.

The paper examines HCN-channel properties in primate supragranular pyramidal neurons, finding conserved traits across species with some divergence in magnitude between humans and macaques.

The paper identifies enhancers for spinal motor neurons and develops AAV vectors to target these cells in rodents and macaques, enabling functional studies and potential therapeutic applications.

The paper presents an enhancer AAV toolbox for targeting and perturbing striatal cell types and circuits in mice, with validated specificity and cross-species applicability.

This study compares AAV9 and AAV-PHP.eB transduction efficiency in pigtail macaques, finding AAV-PHP.eB achieves higher rates in cortical and spinal regions.

The paper uses viral labeling and Patch-seq to define morpho-electric properties of GABAergic interneurons in human neocortex, revealing functional insights and reclassifying some SST neurons into PVALB subclass.

The paper develops AAV-based genetic tools to specifically target astrocytes and oligodendrocytes across species, revealing functional roles in reward-dependent acetylcholine responses.

The paper analyzes gene regulatory programs in the neocortex of rodents and primates using single-cell multiomics, finding rapid evolution of cell type-specific gene expression and TE-driven cCREs.

The paper classifies neurons in mouse visual cortex into 17 electrophysiological and 35 morphological types using unsupervised methods and links them to transcriptomic types.