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Brull, O. R.

Publications and source records attributed to Brull, O. R..

2 recordsLinked to original sources

A Multimodal Atlas Reveals the Anatomical Distribution of Medium Spiny Neuron Subtypes and a Novel RGS6+ Population in the Primate Striatum

The primate striatum and its principal neuron type, the medium spiny neuron (MSN), integrate cortical and subcortical signals related to movement, cognition, and emotion. These signals are processed through cell type specific circuits traditionally defined by MSN dopamine receptor expression. However, classification by dopamine receptor type alone fails to fully specify MSN diversity and falls short of capturing the functional complexity of the striatum. Here, we combined single-nucleus multi-omic sequencing and high-plex spatial transcriptomics to build a comprehensive atlas of MSNs in the macaque striatum. Using multi-omic sequencing, we profiled MSNs across four anatomically and functionally defined territories, and we mapped these subtypes back into their anatomical context by integrating the multi-omic data with [~]5.4 million spatially resolved cells sampled across the full rostral-caudal and dorsal-ventral extent of the striatum. This approach revealed two previously undocumented ventral striatum (VS) subtypes, D1-VS-RGS6 and D2-VS-RGS6, which are molecularly distinct from known ventral striatal MSNs yet share core limbic features. We also uncovered gradients in matrix-compartment cell types along the rostral-caudal axis. Finally, by integrating MSN subtype-specific transcriptomes and ATAC-seq-derived regulatory annotations with human GWAS data, we demonstrate strong, cell-type-specific enrichment of polygenic risk for Parkinsons disease, substance use disorders, and psychiatric and cognitive traits, including a striking association of D2-VS-RGS6 with schizophrenia and bipolar disorder. Together, this multimodal atlas provides a foundation for linking primate striatal cell types to circuit function and disease mechanisms. HIGHTLIGHTSO_LIMultimodal analysis of NHP striatum reveals heterogeneous cell type distribution C_LIO_LITwo previously uncharacterized MSN subtypes in the ventral striatum express RGS6 C_LIO_LIVentral striatum cell types exhibit similar characteristics across the Rostro-Caudal axis C_LIO_LINHP cell types show strong, cell type specific associations to genomic disease predictors C_LI

neuroscience↗

Cell Type Specific Enhancers for Dorsolateral Prefrontal Cortex.

The dorsolateral prefrontal cortex (DLPFC) is crucial to primate cognitive functions, but a paucity of cell type specific tools limits studies of DLPFC neurocomputational principles. Therefore, we set out to identify enhancers that fit inside Adeno-Associated Virus (AAV) vectors and that elicited functional, cell type specific gene expression in the non-human primate (NHP) DLPFC. We used single nucleus RNA-Seq and ATAC-Seq from rhesus macaque tissue samples to define DLPFC cell types and their associated open chromatin regions (OCRs). We trained machine learning (ML) models to recognize the unique regulatory grammar associated with each DLPFC neuron type, performed in silico screening of all OCRs, and identified candidate enhancers most likely to elicit cell type specific transgene expression in each neuron type. For layer 3 pyramidal neurons (L3PNs) and layer 5 extratelencephalic neurons (L5ETs), we cloned the top twelve identified candidates into AAVs and injected them into NHP DLPFC. In situ observation of enhancer-driven expression revealed the best performers, RMacL3-01 and RMacL5ET-01. We validated RMacL3-01 and RMacL5ET-01 using one-at-a-time injections in NHP DLPFC. RMacL3-01 restricted GFP expression to pyramidal neurons in layers 2 and 3, whereas RMacL5ET-01 restricted expression to POU3F1+ neurons in layer 5. RMacL3-01 elicited functional levels of channelrhodopsin expression that enabled optical activation of single- and multi-unit activity in NHP DLFPC. Together, these results and resources establish a solid foundation to study cell type specific principles of primate cognitive functions.

neuroscience↗