Return
Translatome of dorsal striatum parvalbumin interneurons revisited: insights across diverse experimental paradigms
DOI:10.3389/fncel.2025.1648461.png)
Abstract
En 中文
Parvalbumin (PV) interneurons in the dorsal striatum (DS) are fast-spiking GABAergic cells critical for feedforward inhibition and synaptic integration within basal ganglia circuits. Despite their well-characterized electrophysiological roles; their molecular identity remains incompletely defined. Using the Ribotag approach in Pvalb-Cre mice; we profiled the translatome of DS PV interneurons and identified over 2; 700 transcripts significantly enriched (fold-change > 1.5) in this population. Our data validate established PV markers and reveal a distinct molecular signature of DS PV neurons compared to PV interneurons from the nucleus accumbens. Gene ontology analyses highlight prominent expression of genes related to extracellular matrix components; cell adhesion molecules; synaptic organization; ion channels; and neurotransmitter receptors; particularly those mediating glutamatergic and GABAergic signaling. Notably; perineuronal net markers were robustly expressed in DS PV interneurons and confirmed by immunofluorescence. Transcriptomic analysis of DS PV neurons following repeated d-amphetamine exposure identified Gm20683 as the only differentially expressed transcript between treated groups. Furthermore; RNAseq analysis of mice subjected to an operant behavior paradigm with two types of food reward (high-palatable diet or standard chow) identified over 1; 000 and 100 genes enriched in DS PV neurons from standard and high-palatable masters; respectively. These findings provide a comprehensive molecular profile of DS PV interneurons; distinguishing them from other striatal PV populations; and reveal specific gene expression changes associated with psychostimulant exposure and reward-driven behaviors. Our findings deepen insight into the molecular mechanisms of PV interneuron activity in striatal circuits and their potential roles in neuropsychiatric; motor and reward-related disorders.
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4
Papers:
6.4K
Citations:
2.3W

