Spatiomolecular mapping reveals anatomical organization of heterogeneous cell types in the human nucleus accumbens
Ravichandran, P.; Bach, S. V.; Phillips, R. A.; Valentine, M. R.; Eagles, N. J.; Du, Y.; Rosario, I. D.; Miller, R. A.; Divecha, H. R.; Tippani, M.; Montgomery, K. D.; Kleinman, J. E.; Han, S.; Page, S. C.; Hyde, T. M.; Torres, L. C.; Battle, A.; Martinowich, K.; Hicks, S. C.; Maynard, K.
Show abstract
The nucleus accumbens (NAc) is a key component of the mesolimbic dopamine system that critically regulates many behaviors related to reward and motivation. The NAc is implicated in several neuropsychiatric disorders, including major depressive disorder, schizophrenia, and substance use disorders. Rodent studies have identified spatial organization of heterogeneous medium spiny neuron (MSN) subtypes across the NAc core and shell, but the extent to which this cellular diversity and spatial organization is conserved in the human brain remains unclear. Here, we generated a spatiomolecular atlas of NAc cell types and spatial domains by integrating spatial transcriptomics and single-nucleus RNA sequencing data from postmortem NAc tissue from 10 neurotypical adult donors. We identified 20 transcriptionally unique cell populations and 8 spatial domains, including specialized D1 islands composed of distinct dopamine receptor 1 (DRD1) MSN subtypes, which were enriched for OPRM1. In contrast to a discrete core vs. shell division, we observed continuous spatial gradients of gene expression across MSN domains, suggesting a more complex organization of DRD1 and DRD2 MSNs. Cross-species comparisons demonstrated conservation of MSN subtypes and spatial features between human, rodent, and nonhuman primate NAc. Genetic enrichment analysis with stratified linkage disequilibrium score regression revealed specific spatial domains associated with risk for psychiatric and addiction-related traits. To investigate this further, we spatially mapped ligand-receptor interactions involving neuropsychiatric risk genes. Finally, we leveraged existing rodent NAc data to identify drug-responsive transcriptional programs and predict their spatial distribution in the human NAc. Collectively, we provide a spatiomolecular framework for understanding the human NAc and its relevance to neuropsychiatric disease.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cellular and genetic drivers of RNA editing variation in the human brain 97%
- Cell-type, single-cell, and spatial signatures of brain-region specific splicing in postnatal development 97%
- The molecular diversity of hippocampal regions and strata at synaptic resolution revealed by integrated transcriptomic and proteomic profiling 97%
Similar papers in this journal
- Comparative molecular landscapes of immature neurons in the mammalian dentate gyrus across species reveal special features in humans 97%
- Single-cell epigenomic reconstruction of developmental trajectories in human neural organoid systems from pluripotency 97%
- Molecular characterization of selectively vulnerable neurons in Alzheimer's Disease 97%
Similar papers in this journal
- Epigenetically bistable regions across neuron-specific genes govern neuron eligibility to a coding ensemble in the hippocampus 96%
- The molecular genetic landscape of human brain size variation 96%
- Spatiotemporal analysis of gene expression in the human dentate gyrus reveals age-associated changes in cellular maturation and neuroinflammation 95%
Similar papers in this journal
- A multimodal cell census and atlas of the mammalian primary motor cortex 97%
- A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain 97%
- A human DNA methylation atlas reveals principles of cell type-specific methylation and identifies thousands of cell type-specific regulatory elements 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.