Literature DB >> 32710103

Cell Surface Protein mRNAs Show Differential Transcription in Pyramidal and Fast-Spiking Cells as Revealed by Single-Cell Sequencing.

Lilla Ravasz1,2, Katalin Adrienna Kékesi1,2,3, Dániel Mittli2, Mihail Ivilinov Todorov2, Zsolt Borhegyi1,2, Mária Ercsey-Ravasz4,5, Botond Tyukodi4,6, Jinhui Wang7, Tamás Bártfai8, James Eberwine7, Gábor Juhász1,2,9.   

Abstract

The prefrontal cortex (PFC) plays a key role in higher order cognitive functions and psychiatric disorders such as autism, schizophrenia, and depression. In the PFC, the two major classes of neurons are the glutamatergic pyramidal (Pyr) cells and the GABAergic interneurons such as fast-spiking (FS) cells. Despite extensive electrophysiological, morphological, and pharmacological studies of the PFC, the therapeutically utilized drug targets are restricted to dopaminergic, glutamatergic, and GABAergic receptors. To expand the pharmacological possibilities as well as to better understand the cellular and network effects of clinically used drugs, it is important to identify cell-type-selective, druggable cell surface proteins and to link developed drug candidates to Pyr or FS cell targets. To identify the mRNAs of such cell-specific/enriched proteins, we performed ultra-deep single-cell mRNA sequencing (19 685 transcripts in total) on electrophysiologically characterized intact PFC neurons harvested from acute brain slices of mice. Several selectively expressed transcripts were identified with some of the genes that have already been associated with cellular mechanisms of psychiatric diseases, which we can now assign to Pyr (e.g., Kcnn2, Gria3) or FS (e.g., Kcnk2, Kcnmb1) cells. The earlier classification of PFC neurons was also confirmed at mRNA level, and additional markers have been provided.
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Entities:  

Keywords:  drug target; interneuron; prefrontal cortex; pyramidal cell; single-cell transcriptomics

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Year:  2021        PMID: 32710103      PMCID: PMC7906784          DOI: 10.1093/cercor/bhaa195

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  67 in total

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