Publications by authors named "Jeff Goldy"

The distinctive physiology of striatal medium spiny neurons (MSNs) underlies their ability to integrate sensory and motor input. In rodents, MSNs have a hyperpolarized resting potential and low input resistance. When activated, they have a delayed onset of spiking and regular spike rate.

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We present an enhancer AAV toolbox for accessing and perturbing striatal cell types and circuits. Best-in-class vectors were curated for accessing major striatal neuron populations including medium spiny neurons (MSNs), direct and indirect pathway MSNs, as well as Sst-Chodl, Pvalb-Pthlh, and cholinergic interneurons. Specificity was evaluated by multiple modes of molecular validation, three different routes of virus delivery, and with diverse transgene cargos.

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Large-scale analysis of single-cell gene expression has revealed transcriptomically defined cell subclasses present throughout the primate neocortex with gene expression profiles that differ depending upon neocortical region. Here, we test whether the interareal differences in gene expression translate to regional specializations in the physiology and morphology of infragranular glutamatergic neurons by performing Patch-seq experiments in brain slices from the temporal cortex (TCx) and motor cortex (MCx) of the macaque. We confirm that transcriptomically defined extratelencephalically projecting neurons of layer 5 (L5 ET neurons) include retrogradely labeled corticospinal neurons in the MCx and find multiple physiological properties and ion channel genes that distinguish L5 ET from non-ET neurons in both areas.

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Article Synopsis
  • Researchers addressed the limited access to lower motor neurons (LMNs) in the mammalian spinal cord by creating single cell multiome datasets from mouse and macaque spinal cords to identify enhancers for different neuronal populations.* -
  • They cloned identified enhancers into viral vectors and conducted functional tests in mice to screen for effective candidates, which were then validated in rats and macaques.* -
  • This new toolkit for labeling LMNs and upper motor neurons (UMNs) can facilitate future research on cell function across species and contribute to potential therapies for neurodegenerative diseases in humans.*
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  • * This study analyzed over 600,000 single-cell transcriptomes from adult and developing mice to create a detailed classification of GABAergic neuron types, revealing a complex organization with numerous subclasses and clusters.
  • * The research found that GABAergic neurons often migrate long distances and show variations in gene expression based on their spatial locations, with different stages of development leading to diversity in specific neuron types across various brain regions.
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  • The mammalian cortex consists of different cell types that have specific properties, which are important for understanding how the cortex functions in both health and disease.
  • Researchers utilized data from mouse and human studies to identify marker genes and enhancers for various cortical cell types, creating a comprehensive set of tools for targeting these cells specifically.
  • They introduced fifteen new transgenic driver lines, two new reporter lines, and over 800 enhancer AAVs, facilitating a wide range of experimental approaches to study the mammalian cortex and its functions.
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The mammalian brain is composed of diverse neuron types that play different functional roles. Recent single-cell RNA sequencing approaches have led to a whole brain taxonomy of transcriptomically-defined cell types, yet cell type definitions that include multiple cellular properties can offer additional insights into a neuron's role in brain circuits. While the Patch-seq method can investigate how transcriptomic properties relate to the local morphological and electrophysiological properties of cell types, linking transcriptomic identities to long-range projections is a major unresolved challenge.

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Biological aging can be defined as a gradual loss of homeostasis across various aspects of molecular and cellular function. Aging is a complex and dynamic process which influences distinct cell types in a myriad of ways. The cellular architecture of the mammalian brain is heterogeneous and diverse, making it challenging to identify precise areas and cell types of the brain that are more susceptible to aging than others.

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The mammalian brain consists of millions to billions of cells that are organized into many cell types with specific spatial distribution patterns and structural and functional properties. Here we report a comprehensive and high-resolution transcriptomic and spatial cell-type atlas for the whole adult mouse brain. The cell-type atlas was created by combining a single-cell RNA-sequencing (scRNA-seq) dataset of around 7 million cells profiled (approximately 4.

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Article Synopsis
  • Recent studies on human cortex have shown that GABAergic neurons have a complex hierarchical organization with various subclasses and specific types.
  • Researchers used advanced techniques to study these neurons in human brain slices, combining viral labeling and single-cell RNA sequencing.
  • The findings revealed detailed differences within GABAergic neuron types, including variations between human and mouse neurons and highlighted the need for comprehensive analysis to better understand brain cell properties.
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Neocortical layer 1 (L1) is a site of convergence between pyramidal-neuron dendrites and feedback axons where local inhibitory signaling can profoundly shape cortical processing. Evolutionary expansion of human neocortex is marked by distinctive pyramidal neurons with extensive L1 branching, but whether L1 interneurons are similarly diverse is underexplored. Using Patch-seq recordings from human neurosurgical tissue, we identified four transcriptomic subclasses with mouse L1 homologs, along with distinct subtypes and types unmatched in mouse L1.

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Article Synopsis
  • The study investigates the cellular structure of the human cortex to define different cortical areas using single-cell transcriptomics.
  • Researchers performed RNA-sequencing across eight cortical areas and found consistent cellular makeup, but notable variations in the proportion of excitatory neuron subclasses, indicating differences in connectivity.
  • Findings include unique features in the primary visual cortex, such as changes in the ratio of excitatory to inhibitory neurons and an expansion of excitatory neurons in layer 4, suggesting a need for refined understanding of human cortical organization.
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The cognitive abilities of humans are distinctive among primates, but their molecular and cellular substrates are poorly understood. We used comparative single-nucleus transcriptomics to analyze samples of the middle temporal gyrus (MTG) from adult humans, chimpanzees, gorillas, rhesus macaques, and common marmosets to understand human-specific features of the neocortex. Human, chimpanzee, and gorilla MTG showed highly similar cell-type composition and laminar organization as well as a large shift in proportions of deep-layer intratelencephalic-projecting neurons compared with macaque and marmoset MTG.

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Alzheimer's disease (AD) is the most common cause of dementia in older adults. Neuropathological and imaging studies have demonstrated a progressive and stereotyped accumulation of protein aggregates, but the underlying molecular and cellular mechanisms driving AD progression and vulnerable cell populations affected by disease remain coarsely understood. The current study harnesses single cell and spatial genomics tools and knowledge from the BRAIN Initiative Cell Census Network to understand the impact of disease progression on middle temporal gyrus cell types.

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Article Synopsis
  • The brain of a mouse has millions of different cells, and scientists want to make a complete list of these cell types to understand how the brain works.
  • Researchers created a detailed map of these cells by studying around 7 million cells with a special technique that looks at their genes and how they are placed in the brain.
  • They discovered that there are many different types of cells in the brain, with some areas being very unique, like the dorsal part having fewer but more distinct types, while the ventral part has many similar types.
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We present a unique, extensive, and open synaptic physiology analysis platform and dataset. Through its application, we reveal principles that relate cell type to synaptic properties and intralaminar circuit organization in the mouse and human cortex. The dynamics of excitatory synapses align with the postsynaptic cell subclass, whereas inhibitory synapse dynamics partly align with presynaptic cell subclass but with considerable overlap.

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The neocortex is disproportionately expanded in human compared with mouse, both in its total volume relative to subcortical structures and in the proportion occupied by supragranular layers composed of neurons that selectively make connections within the neocortex and with other telencephalic structures. Single-cell transcriptomic analyses of human and mouse neocortex show an increased diversity of glutamatergic neuron types in supragranular layers in human neocortex and pronounced gradients as a function of cortical depth. Here, to probe the functional and anatomical correlates of this transcriptomic diversity, we developed a robust platform combining patch clamp recording, biocytin staining and single-cell RNA-sequencing (Patch-seq) to examine neurosurgically resected human tissues.

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Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain. With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organization. Here we generated transcriptomes and epigenomes from more than 500,000 individual cells in the mouse primary motor cortex, a structure that has an evolutionarily conserved role in locomotion.

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The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally conserved across mammals. Here, using high-throughput transcriptomic and epigenomic profiling of more than 450,000 single nuclei in humans, marmoset monkeys and mice, we demonstrate a broadly conserved cellular makeup of this region, with similarities that mirror evolutionary distance and are consistent between the transcriptome and epigenome. The core conserved molecular identities of neuronal and non-neuronal cell types allow us to generate a cross-species consensus classification of cell types, and to infer conserved properties of cell types across species.

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Abundant evidence supports the presence of at least three distinct types of thalamocortical (TC) neurons in the primate dorsal lateral geniculate nucleus (dLGN) of the thalamus, the brain region that conveys visual information from the retina to the primary visual cortex (V1). Different types of TC neurons in mice, humans, and macaques have distinct morphologies, distinct connectivity patterns, and convey different aspects of visual information to the cortex. To investigate the molecular underpinnings of these cell types, and how these relate to differences in dLGN between human, macaque, and mice, we profiled gene expression in single nuclei and cells using RNA-sequencing.

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