Jeff Goldy

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 integrates transcriptomic, morphological, and electrophysiological data to define neuron types in mouse visual cortex and predict their projection targets.

This study uses multimodal Patch-seq data to show that gene expression gradients in mouse basal ganglia neurons correlate with spatial location, physiology, and morphology.

The paper maps conserved cell type signatures in the adult mouse brainstem and spinal cord using multi-omics data, revealing shared and region-specific features.

This paper introduces a standards framework for integrating single-cell and spatial omics data into brain cell atlases, enabling interoperable and reusable knowledge-ready resources.

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.

The paper reveals the external globus pallidus (GPe) as a basal ganglia output hub with distinct subpopulations that mediate specific behaviors through projection-specific circuits.

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 creates a cross-species spinal cord cell type atlas integrating data from mouse, macaque, and human, identifying conserved and species-specific features.

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 integrates multimodal data to characterize human neocortical glutamatergic neurons, revealing morphoelectric properties that distinguish transcriptomic subclasses and highlight species-specific differences.

The paper maps AD-related pathological changes in the caudate nucleus at cellular resolution, identifying distinct features and cell type-specific responses.

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 analyzes the transcriptomic and spatial organization of GABAergic neurons in the mouse telencephalon, revealing complex developmental and spatial relationships across multiple brain regions.

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.

The paper develops a toolkit of transgenic mouse lines and enhancer AAVs for selective targeting of cortical cell populations using transcriptomic and epigenomic data.

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 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 identifies transcriptomic and morpho-electric diversity in human neocortical layer 1 interneurons, revealing greater subclass distinction compared to mouse.

This study uses single nucleus transcriptomics to compare human and non-human primate cortical tissues, identifying human-specific gene expression patterns and their potential functional roles.

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 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 presents a synaptic physiology dataset and analysis platform to study cortical microcircuit structure and synaptic properties in mouse and human neocortex, revealing layer-dependent connectivity and subclass-specific dynamics.

The paper compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.