scholarly journals Cortical and thalamic inputs exert cell type‐specific feedforward inhibition on striatal GABAergic interneurons

Author(s):  
Maxime Assous ◽  
James M. Tepper
Cell Reports ◽  
2021 ◽  
Vol 34 (8) ◽  
pp. 108774
Author(s):  
Shovan Naskar ◽  
Jia Qi ◽  
Francisco Pereira ◽  
Charles R. Gerfen ◽  
Soohyun Lee

2020 ◽  
Author(s):  
Julio D. Perez ◽  
Susanne tom Dieck ◽  
Beatriz Alvarez-Castelao ◽  
Ivy C.W. Chan ◽  
Erin M. Schuman

AbstractThe localization and translation of mRNAs to dendrites and axons maintains and modifies the local proteome of neurons, and is essential for synaptic plasticity. Although significant efforts have allowed the identification of localized mRNAs in excitatory neurons, it is still unclear whether interneurons also localize a large population of mRNAs. In addition, the variability in the population of localized mRNAs within and between cell-types is unknown. Here we developed a method for the transcriptomic characterization of a single neuron’s subcellular compartments, which combines laser capture microdissection with scRNA-seq. This allowed us to separately profile the dendritic and somatic transcriptomes of individual rat hippocampal neurons and investigate the relation in mRNA abundances between the soma and dendrites of single glutamatergic and GABAergic neurons. We identified two types of glutamatergic and three types of GABAergic interneurons and we found that, like their excitatory counterparts, interneurons contain a rich repertoire of ~4000 mRNAs. The individual somatic transcriptomes exhibited more cell type-specific features than their associated dendritic transcriptomes. The detection and abundance of dendritic mRNAs was not always simply predicted by their somatic counterparts. Finally, using cell-type specific metabolic labelling of isolated neurites, we demonstrated that the processes not only of Glutamatergic but also of GABAergic neurons are capable of local translation, suggesting mRNA localization and local translation is a general property of neurons.


Neuroscience ◽  
2018 ◽  
Vol 376 ◽  
pp. 80-93 ◽  
Author(s):  
Young-Jin Kang ◽  
Hannah Elisabeth Smashey Lewis ◽  
Mason William Young ◽  
Gubbi Govindaiah ◽  
Lazar John Greenfield ◽  
...  

BMC Biology ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yang Yang ◽  
Anirban Paul ◽  
Thao Nguyen Bach ◽  
Z. Josh Huang ◽  
Michael Q. Zhang

Abstract Background Alternative polyadenylation (APA) is emerging as an important mechanism in the post-transcriptional regulation of gene expression across eukaryotic species. Recent studies have shown that APA plays key roles in biological processes, such as cell proliferation and differentiation. Single-cell RNA-seq technologies are widely used in gene expression heterogeneity studies; however, systematic studies of APA at the single-cell level are still lacking. Results Here, we described a novel computational framework, SAPAS, that utilizes 3′-tag-based scRNA-seq data to identify novel poly(A) sites and quantify APA at the single-cell level. Applying SAPAS to the scRNA-seq data of phenotype characterized GABAergic interneurons, we identified cell type-specific APA events for different GABAergic neuron types. Genes with cell type-specific APA events are enriched for synaptic architecture and communications. In further, we observed a strong enrichment of heritability for several psychiatric disorders and brain traits in altered 3′ UTRs and coding sequences of cell type-specific APA events. Finally, by exploring the modalities of APA, we discovered that the bimodal APA pattern of Pak3 could classify chandelier cells into different subpopulations that are from different laminar positions. Conclusions We established a method to characterize APA at the single-cell level. When applied to a scRNA-seq dataset of GABAergic interneurons, the single-cell APA analysis not only identified cell type-specific APA events but also revealed that the modality of APA could classify cell subpopulations. Thus, SAPAS will expand our understanding of cellular heterogeneity.


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