Diversity of interneurons in the dorsal striatum revealed by single-cell RNA sequencing and PatchSeq
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Published version
Author(s)
Type
Journal Article
Abstract
Striatal locally projecting neurons, or interneurons, act on nearby circuits and shape functional output to the rest of the basal ganglia. We performed single-cell RNA sequencing of striatal cells enriching for interneurons. We find seven discrete interneuron types, six of which are GABAergic. In addition to providing specific markers for the populations previously described, including those expressing Sst/Npy, Th, Npy without Sst, and Chat, we identify two small populations of cells expressing Cck with or without Vip. Surprisingly, the Pvalb-expressing cells do not constitute a discrete cluster but rather are part of a larger group of cells expressing Pthlh with a spatial gradient of Pvalb expression. Using PatchSeq, we show that Pthlh cells exhibit a continuum of electrophysiological properties correlated with expression of Pvalb. Furthermore, we find significant molecular differences that correlate with differences in electrophysiological properties between Pvalb-expressing cells of the striatum and those of the cortex.
Date Issued
2018-08-21
Date Acceptance
2018-07-16
Citation
Cell Reports, 2018, 24 (8), pp.2179-2190.e1-e7
ISSN
2211-1247
Publisher
Elsevier
Start Page
2179
End Page
2190.e1-e7
Journal / Book Title
Cell Reports
Volume
24
Issue
8
Copyright Statement
© 2018 The Author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000442693600023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Cell Biology
FAST-SPIKING INTERNEURONS
CALCIUM-BINDING PROTEIN
GABAERGIC INTERNEURONS
K+ CHANNELS
FEEDFORWARD INHIBITION
PROJECTION NEURONS
EXPRESSING NEURONS
RAT NEOSTRIATUM
MOUSE STRIATUM
BASAL GANGLIA
Publication Status
Published
Date Publish Online
2018-08-24