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Biological ageing can be defined as a gradual loss of homeostasis across various aspects of molecular and cellular function 1 , 2 . Mammalian brains consist of thousands of cell types 3 , which may be differentially susceptible or resilient to ageing. Here we present a comprehensive single-cell RNA sequencing dataset containing roughly 1.2 million high-quality single-cell transcriptomes of brain cells from young adult and aged mice of both sexes, from regions spanning the forebrain, midbrain and hindbrain. High-resolution clustering of all cells results in 847 cell clusters and reveals at least 14 age-biased clusters that are mostly glial types. At the broader cell subclass and supertype levels, we find age-associated gene expression signatures and provide a list of 2,449 unique differentially expressed genes (age-DE genes) for many neuronal and non-neuronal cell types. Whereas most age-DE genes are unique to specific cell types, we observe common signatures with ageing across cell types, including a decrease in expression of genes related to neuronal structure and function in many neuron types, major astrocyte types and mature oligodendrocytes, and an increase in expression of genes related to immune function, antigen presentation, inflammation, and cell motility in immune cell types and some vascular cell types. Finally, we observe that some of the cell types that demonstrate the greatest sensitivity to ageing are concentrated around the third ventricle in the hypothalamus, including tanycytes, ependymal cells, and certain neuron types in the arcuate nucleus, dorsomedial nucleus and paraventricular nucleus that express genes canonically related to energy homeostasis. Many of these types demonstrate both a decrease in neuronal function and an increase in immune response. These findings suggest that the third ventricle in the hypothalamus may be a hub for ageing in the mouse brain. Overall, this study systematically delineates a dynamic landscape of cell-type-specific transcriptomic changes in the brain associated with normal ageing that will serve as a foundation for the investigation of functional changes in ageing and the interaction of ageing and disease. A comprehensive single-cell RNA sequencing study delineates cell-type-specific transcriptomic changes in the brain associated with normal ageing that will inform the investigation into functional changes and the interaction of ageing and disease.

-acting regulatory enhancer elements are valuable tools for gaining cell type-specific genetic access. Leveraging large chromatin accessibility atlases, putative enhancer sequences can be identified and deployed in adeno-associated virus (AAV) delivery platforms. However, a significant bottleneck in enhancer AAV discovery is charting their detailed expression patterns , a process that currently requires gold-standard one-by-one testing. Here we present a barcoded multiplex strategy for screening enhancer AAVs at cell type resolution using single cell RNA sequencing and taxonomy mapping. We executed a proof-of-concept study using a small pool of validated enhancer AAVs expressing in a variety of neuronal and non-neuronal cell types across the mouse brain. Unexpectedly, we encountered substantial technical and biological noise including chimeric packaging products, necessitating development of novel techniques to accurately deconvolve enhancer expression patterns. These results underscore the need for improved methods to mitigate noise and highlight the complexity of enhancer AAV biology .

Background Dysfunction of the Basal Ganglia is implicated in several neurodegenerative diseases such as Parkinson’s and Huntington’s. A substructure of the Basal Ganglia, the caudate nucleus, is observed to have diffuse amyloid plaques in Alzheimer’s disease (AD), in Thal phase III. Additionally, literature suggests the presence of AD ‐related tangles. Functionally, the caudate is known to be involved in cognitive functions impacted by AD such as memory. The caudate also receives signals and has efferent projections to significantly affected regions in AD such as cortex and hippocampus respectively. Despite these connections, caudate nucleus remains understudied in AD. Method AT8 (pTau) and 6e10 (Aβ) immunohistochemical staining was performed on the caudate from 42 donors with only canonical proteionopathies and no comorbities. Single nucleus RNA and ATAC‐seq (multiome or singleome) was collected for all donors in the cohort. Spatial transcriptomics was performed on a subset of 5 Thal I‐III and 5 Thal IV‐V donors, with post‐hoc immunostaining of AT8 and 6e10. Cells were labeled using deep learning with a reference caudate dataset from healthy BRAIN Initiative donors. Changes in expression and cell type abundance were modeled in terms of levels of AT8 and 6e10 using Bayesian and general linear mixed effects models respectively. Result We identified caudate specific pTau associated abundance increases in astrocyte and microglia types. These microglia types were not the stereotypical disease associated types described in cortex. We also identified pTau associated abundance decreases in oliogodendrocyte subtypes consistent with cortex. Almost all neuronal populations in the caudate show little change in their cellular abundances. Most effects in cellular composition or differential expression were observed specifically with respect to level of pTau and not Aβ. Conclusion AD’s impact in caudate head contrasts with established effects on the cortex. Regionally unique increases in certain non‐neuronal populations suggest a caudate specific response to AD. Additionally, little neuronal loss, even with respect to significant pTau pathology suggests either environmental or cellular factors that confer resilience, or distinct pTau conditions in the caudate. Finally, our data suggests that the predominantly diffuse plaques in caudate are not sufficient for a plaque induced response in microglia.

Dysfunction of the Basal Ganglia is implicated in several neurodegenerative diseases such as Parkinson's and Huntington's. A substructure of the Basal Ganglia, the caudate nucleus, is observed to have diffuse amyloid plaques in Alzheimer's disease (AD), in Thal phase III. Additionally, literature suggests the presence of AD -related tangles. Functionally, the caudate is known to be involved in cognitive functions impacted by AD such as memory. The caudate also receives signals and has efferent projections to significantly affected regions in AD such as cortex and hippocampus respectively. Despite these connections, caudate nucleus remains understudied in AD. AT8 (pTau) and 6e10 (Aβ) immunohistochemical staining was performed on the caudate from 42 donors with only canonical proteionopathies and no comorbities. Single nucleus RNA and ATAC-seq (multiome or singleome) was collected for all donors in the cohort. Spatial transcriptomics was performed on a subset of 5 Thal I-III and 5 Thal IV-V donors, with post-hoc immunostaining of AT8 and 6e10. Cells were labeled using deep learning with a reference caudate dataset from healthy BRAIN Initiative donors. Changes in expression and cell type abundance were modeled in terms of levels of AT8 and 6e10 using Bayesian and general linear mixed effects models respectively. We identified caudate specific pTau associated abundance increases in astrocyte and microglia types. These microglia types were not the stereotypical disease associated types described in cortex. We also identified pTau associated abundance decreases in oliogodendrocyte subtypes consistent with cortex. Almost all neuronal populations in the caudate show little change in their cellular abundances. Most effects in cellular composition or differential expression were observed specifically with respect to level of pTau and not Aβ. AD's impact in caudate head contrasts with established effects on the cortex. Regionally unique increases in certain non-neuronal populations suggest a caudate specific response to AD. Additionally, little neuronal loss, even with respect to significant pTau pathology suggests either environmental or cellular factors that confer resilience, or distinct pTau conditions in the caudate. Finally, our data suggests that the predominantly diffuse plaques in caudate are not sufficient for a plaque induced response in microglia.

Background Alzheimer’s disease (AD) is clinically characterized by a progressive cognitive decline associated with stereotyped accumulation of amyloid‐beta (Aβ) plaques and hyperphosphorylated Tau (pTau) tangles across brain regions. While histopathology has revealed patterns of regional involvement, the molecular and cellular events that accompany and potentially drive this progression remain incompletely understood. Method We applied single nucleus RNA sequencing (RNAseq), ATAC‐seq, and Multiome profiling to over 7 million high‐quality nuclei from 10 brain regions—spanning medial and lateral entorhinal cortices, hippocampus, multiple temporal and frontal cortical areas, and primary visual cortex—sampled from the same cohort of 84 aged human donors across the AD spectrum (3 regions from all donors, 7 from those without severe co‐morbidities). We predicted the cell‐type for each nucleus by mapping to an expanded BRAIN initiative cell‐type taxonomy, which included AD‐associated non‐neuronal states and ∼70 brain region‐specific neuronal types. These datasets were paired with regional quantitative measurements of Aβ (6e10), pTau (AT8), and other protein pathologies, as well as cellular stains for neurons, microglia, and astrocytes. Result We inferred two distinct protein pathology accumulation patterns across brain regions: neocortical areas accumulated Aβ prior to pTau, whereas hippocampus and entorhinal cortex had early and, in some cases, substantial pTau burden independent of Aβ. Among neocortical regions, accumulation of AT8 beyond the temporal medial lobe strongly associated with dementia. In analyzing cell‐type abundance differences associated with higher levels of pTau pathology, we identified shared motifs of selective neuronal loss consistent with our previous observations from the middle temporal gyrus. These included loss of L2/3 and L5 intratelencephalic excitatory neurons and several types of inhibitory interneurons (e.g., Vip, Sst, Pvalb). These same vulnerable inhibitory types were also reduced in hippocampal and entorhinal regions, when present, and we observed parallel increases in astrocyte, microglial, and oligodendrocyte precursor cells. Additionally, we observed a decrease in specific, regionally specialized neuron subtypes in the hippocampus, entorhinal cortex, and visual cortex. Conclusion Our multimodal, multi‐region single‐cell atlas reveals common and region‐specific patterns of cellular vulnerability in AD. These cell‐types, particularly those commonly affected in distinct neural circuits, could serve as candidate therapeutic targets and biomarkers.

Alzheimer's disease (AD) is clinically characterized by a progressive cognitive decline associated with stereotyped accumulation of amyloid-beta (Aβ) plaques and hyperphosphorylated Tau (pTau) tangles across brain regions. While histopathology has revealed patterns of regional involvement, the molecular and cellular events that accompany and potentially drive this progression remain incompletely understood. We applied single nucleus RNA sequencing (RNAseq), ATAC-seq, and Multiome profiling to over 7 million high-quality nuclei from 10 brain regions-spanning medial and lateral entorhinal cortices, hippocampus, multiple temporal and frontal cortical areas, and primary visual cortex-sampled from the same cohort of 84 aged human donors across the AD spectrum (3 regions from all donors, 7 from those without severe co-morbidities). We predicted the cell-type for each nucleus by mapping to an expanded BRAIN initiative cell-type taxonomy, which included AD-associated non-neuronal states and ∼70 brain region-specific neuronal types. These datasets were paired with regional quantitative measurements of Aβ (6e10), pTau (AT8), and other protein pathologies, as well as cellular stains for neurons, microglia, and astrocytes. We inferred two distinct protein pathology accumulation patterns across brain regions: neocortical areas accumulated Aβ prior to pTau, whereas hippocampus and entorhinal cortex had early and, in some cases, substantial pTau burden independent of Aβ. Among neocortical regions, accumulation of AT8 beyond the temporal medial lobe strongly associated with dementia. In analyzing cell-type abundance differences associated with higher levels of pTau pathology, we identified shared motifs of selective neuronal loss consistent with our previous observations from the middle temporal gyrus. These included loss of L2/3 and L5 intratelencephalic excitatory neurons and several types of inhibitory interneurons (e.g., Vip, Sst, Pvalb). These same vulnerable inhibitory types were also reduced in hippocampal and entorhinal regions, when present, and we observed parallel increases in astrocyte, microglial, and oligodendrocyte precursor cells. Additionally, we observed a decrease in specific, regionally specialized neuron subtypes in the hippocampus, entorhinal cortex, and visual cortex. Our multimodal, multi-region single-cell atlas reveals common and region-specific patterns of cellular vulnerability in AD. These cell-types, particularly those commonly affected in distinct neural circuits, could serve as candidate therapeutic targets and biomarkers.

The basal ganglia (BG) are conserved brain regions essential for motor control, learning, emotion, and cognition, and are implicated in neurological and psychiatric disease. Yet a unified cross-species taxonomy of BG cell types is lacking, limiting translation of BG circuit mechanisms, interpretation of human genetic risk, and development of cell type-targeted tools. We present a multiomic consensus atlas of 1.8 million nuclei from human, macaque, and marmoset spanning eight BG structures. Integrating cross-species gene expression, open chromatin, and spatial profiling enables definition of conserved and divergent cell types. Alignment to existing mouse and human atlases identifies 61 homologous cell types conserved over 80 million years. We identify a STRd D2 StrioMat Hybrid medium spiny neuron (MSN) type with molecular, electrophysiological, and morphological features that clarify hybrid MSN identities. Comparative cis-regulatory analysis reveals conserved sequence grammars that encode cell identity and inform viral targeting strategies, providing a foundational resource for BG evolution, function, and disease.

Aβ presence in the caudate nucleus (Ca) partially defines Thal stage III in Alzheimer's disease (AD), but little is known about AD's cellular impact on the region. Leveraging a public basal ganglia taxonomy of cellular populations, we generated a cellular resolution atlas of AD-associated pathological changes in Ca. Unlike cortex, we found that Ca AD pathology is dominated by two key features: phosphorylated tau (pTau)-containing neuropil threads enriched near oligodendrocytes in white matter tracts and amyloid-β diffuse plaques enriched in gray matter. Although AD pathology in affected cortical regions results in neuronal loss, we find no AD-driven reductions in neuron proportions in Ca. However, there were observable changes in multiple cellular populations. Protoplasmic astrocytes and FLT1+/IL1B+ microglia increased in abundance with global pTau levels. We also observe gene expression changes in fast-spiking PTHLH-PVALB interneurons indicative of disrupted signaling pathways and altered intrinsic physiological properties. This work provides a cellular-resolution framework for understanding AD pathology in Ca.

The mammalian cortex is composed of a highly diverse set of cell types and develops through a series of temporally regulated events that build out the cell type and circuit foundation for cortical function. The mechanisms underlying the development of different cell types remain elusive. Single-cell transcriptomics provides the capacity to systematically study cell types across the entire temporal range of cortical development. Here, we present a comprehensive and high-resolution transcriptomic and epigenomic cell type atlas of the developing mouse visual cortex. The atlas was built from a single-cell RNA-sequencing dataset of 568,674 high-quality single-cell transcriptomes and a single-nucleus Multiome dataset of 194,545 high-quality nuclei providing both transcriptomic and chromatin accessibility profiles, densely sampled throughout the embryonic and postnatal developmental stages from E11.5 to P56. We computationally reconstructed a transcriptomic developmental trajectory map of all excitatory, inhibitory, and non-neuronal cell types in the visual cortex, identifying branching points marking the emergence of new cell types at specific developmental ages and defining molecular signatures of cellular diversification. In addition to neurogenesis, gliogenesis and early postmitotic maturation in the embryonic stage which gives rise to all the cell classes and nearly all subclasses, we find that increasingly refined cell types emerge throughout the postnatal differentiation process, including the late emergence of many cell types during the eye-opening stage (P11-P14) and the onset of critical period (P21), suggesting continuous cell type diversification at different stages of cortical development. Throughout development, we find cooperative dynamic changes in gene expression and chromatin accessibility in specific cell types, identifying both chromatin peaks potentially regulating the expression of specific genes and transcription factors potentially regulating specific peaks. Furthermore, a single gene can be regulated by multiple peaks associated with different cell types and/or different developmental stages. Collectively, our study provides the most detailed dynamic molecular map directly associated with individual cell types and specific developmental events that reveals the molecular logic underlying the continuous refinement of cell type identities in the developing visual cortex.

Experimental access to cell types within the mammalian spinal cord is severely limited by the availability of genetic tools. To enable access to lower motor neurons (LMNs) and LMN subtypes, we generated single cell multiome datasets from mouse and macaque spinal cords and discovered putative enhancers for each neuronal population. We cloned these enhancers into adeno-associated viral vectors (AAVs) driving a reporter fluorophore and functionally screened them in mouse. We extensively characterized the most promising candidate enhancers in rat and macaque and developed an optimized pan LMN enhancer virus. Additionally, we generated derivative viruses expressing iCre297T recombinase or ChR2-EYFP for labeling and functional studies, and we created a single vector with combined enhancer elements to achieve simultaneous labeling of layer 5 extratelencephalic projecting (ET) neurons and LMNs. This unprecedented LMN toolkit will enable future investigations of cell type function across species and potential therapeutic interventions for human neurodegenerative diseases.