Literature DB >> 34727523

Transcriptional and anatomical diversity of medium spiny neurons in the primate striatum.

Jing He1, Michael Kleyman2, Jianjiao Chen1, Aydin Alikaya1, Kathryn M Rothenhoefer1, Bilge Esin Ozturk3, Morgan Wirthlin2, Andreea C Bostan1, Kenneth Fish4, Leah C Byrne3, Andreas R Pfenning5, William R Stauffer6.   

Abstract

Medium spiny neurons (MSNs) constitute the vast majority of striatal neurons and the principal interface between dopamine reward signals and functionally diverse cortico-basal ganglia circuits. Information processing in these circuits is dependent on distinct MSN types: cell types that are traditionally defined according to their projection targets or dopamine receptor expression. Single-cell transcriptional studies have revealed greater MSN heterogeneity than predicted by traditional circuit models, but the transcriptional landscape in the primate striatum remains unknown. Here, we set out to establish molecular definitions for MSN subtypes in Rhesus monkeys and to explore the relationships between transcriptionally defined subtypes and anatomical subdivisions of the striatum. Our results suggest at least nine MSN subtypes, including dorsal striatum subtypes associated with striosome and matrix compartments, ventral striatum subtypes associated with the nucleus accumbens shell and olfactory tubercle, and an MSN-like cell type restricted to μ-opioid receptor rich islands in the ventral striatum. Although each subtype was demarcated by discontinuities in gene expression, continuous variation within subtypes defined gradients corresponding to anatomical locations and, potentially, functional specializations. These results lay the foundation for achieving cell-type-specific transgenesis in the primate striatum and provide a blueprint for investigating circuit-specific information processing.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  FISH; MSNs; NHP; NUDAP; anatomical diversity; medium spiny neurons; primate; snRNA-seq; striatum; transcriptional diversity

Mesh:

Substances:

Year:  2021        PMID: 34727523      PMCID: PMC9359438          DOI: 10.1016/j.cub.2021.10.015

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.900


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