Boaz P. Levi

This study evaluates three pan-inhibitory viral constructs in macaques to assess their efficacy in targeting inhibitory neurons and modulating neural activity.

This study uses single-nucleus RNA-seq, ATAC-seq, and Multiome to analyze Alzheimer's disease across multiple brain regions, revealing shared and region-specific cellular vulnerabilities.

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 constructs a single-cell atlas of fetal Down syndrome cortex, identifying chromosome 21 transcription factors that regulate intellectual disability gene networks and showing their normalization can restore molecular signatures.

The paper defines major axes of human basal ganglia astrocyte specialization using a multimodal atlas and identifies enhancer code for targeted viral tools.

The paper creates a cross-species consensus atlas of primate basal ganglia cell types using multiomic data from human, macaque, and marmoset, identifying 61 conserved cell types and a novel hybrid medium spiny neuron type.

The paper evaluates computational methods for predicting cell type-specific enhancers in the mouse cortex using in vivo validation data and finds that open chromatin and sequence models improve prediction accuracy.

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.

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 shows that AAV libraries packaged as pools exhibit extensive chimerism due to length and homology dependence, affecting most genomes.

This study creates an integrated multimodal cell atlas of Alzheimer's disease by analyzing single nuclei transcriptomes, epigenomes, and spatial coordinates across AD stages.

The paper constructs a high-resolution transcriptomic and epigenomic atlas of the developing mouse visual cortex, revealing continuous cell type diversification across embryonic and postnatal stages.

This study demonstrates that interneuron-specific AAV-mediated SCN1A gene replacement significantly rescues Dravet syndrome symptoms in mouse models.

This paper creates a high-resolution transcriptomic and spatial cell type atlas of the whole adult mouse brain, revealing spatial organization and transcription factor codes for cell types.

The paper uses single nucleus RNA-sequencing to analyze human cortical areas, revealing cell type proportions and gene expression patterns that correlate with functional connectivity and areal specialization.

The paper constructs a single-cell chromatin accessibility atlas of the human brain, identifies cell-type-specific regulatory elements, and develops models to predict regulatory function of disease risk variants.

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 identifies cell-type-specific molecular signatures of aging in a brain-wide transcriptomic atlas of mice, revealing key changes in non-neuronal cells and specific regions like the hypothalamic third ventricle.

The paper investigates target cell-specific synaptic dynamics between excitatory and inhibitory neurons in human neocortex, finding similarities to rodent studies.

The paper identifies 188 cell types in the human brain using single-cell DNA methylation and 3D genome data, and develops a tool to predict cell types based on methylation patterns.

The paper assesses inter-individual variation in human cortical cell types across 75 individuals, finding significant variation in abundance and gene expression, particularly in deep layer glutamatergic neurons.

The paper uses single-cell RNA-seq to analyze relay neurons in the dLGN across species, finding subtle transcriptomic differences compared to morphological and functional distinctions.

This study defines a comprehensive transcriptomic cell type taxonomy of the adult mouse isocortex and hippocampal formation using single-cell RNA-sequencing.

This study identifies the anatomical composition and connectivity patterns of the mouse default mode network at the regional, layer, and cell-class levels.

The paper develops enhancer viruses and a transgenic mouse line to enable combinatorial labeling of specific neuronal subclasses in the mouse cortex and human slices.

The paper identifies transcriptomic diversity in human supragranular neurons and links it to functional specialization and disease vulnerability.

The paper identifies enhancer elements that drive subclass-specific gene expression in neocortex across mouse, primate, and human species using comparative epigenetics and AAV-based functional assays.