five

A Spatiomolecular Map of the Striatum

收藏
NIAID Data Ecosystem2026-04-25 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP226645
下载链接
链接失效反馈
官方服务:
资源简介:
The striatum is organized into two major outputs formed by striatal projection neuron (SPN) subtypes with distinct molecular identities. In addition, the histochemical division into patch and matrix compartments represents an additional spatial organization, proposed to mirror a functional specialization in a motor-motivation dimension. To map the molecular diversity of SPNs in the context of the patch and matrix division, we genetically labeled mu-opioid receptor (Oprm1) expressing striatal neurons and performed single-nucleus RNA sequencing (snRNA-seq). This allowed us to establish new molecular definitions of the patch-matrix compartments, resulting in a molecular code for mapping patch SPNs at the cellular level. In addition, Oprm1 expression labeled exopatch SPNs, which we found to be molecularly distinct from both patch as well as neighboring matrix SPNs, thereby forming a separate molecular entity. At the cell-type level, we found an unexpected SPN diversity, leading to the identification of a new Col11a1+ striatonigral SPN type. At the tissue level, we found that mapping the spatial expression of a number of markers revealed new definitions of spatial domains in the striatum, which were conserved in the non-human primate brain. Interestingly, the spatial markers were cell-type independent and instead represented a spatial code that was found across all SPNs within a spatially restricted domain. This spatiomolecular map establishes a formal system for targeting and studying the striatal subregions and SPNs subtypes, beyond the classical striatonigral and striatopallidal division. Overall design: Single-nucleus RNA sequencing of mouse striatal neurons using two different genotypes to include patch neurons (Oprm1-Cre genotype) and GABAergic neurons (Slc32a1-Cre genotype)
创建时间:
2020-02-02
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作