論文

査読有り
2013年6月

Protocadherin 17 Regulates Presynaptic Assembly in Topographic Corticobasal Ganglia Circuits

NEURON
  • Naosuke Hoshina
  • Asami Tanimura
  • Miwako Yamasaki
  • Takeshi Inoue
  • Ryoji Fukabori
  • Teiko Kuroda
  • Kazumasa Yokoyama
  • Tohru Tezuka
  • Hiroshi Sagara
  • Shinji Hirano
  • Hiroshi Kiyonari
  • Masahiko Takada
  • Kazuto Kobayashi
  • Masahiko Watanabe
  • Masanobu Kano
  • Takanobu Nakazawa
  • Tadashi Yamamoto
  • 全て表示

78
5
開始ページ
839
終了ページ
854
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.neuron.2013.03.031
出版者・発行元
CELL PRESS

Highly topographic organization of neural circuits exists for the regulation of various brain functions in corticobasal ganglia circuits. Although neural circuit-specific refinement during synapse development is essential for the execution of particular neural functions, the molecular and cellular mechanisms for synapse refinement are largely unknown. Here, we show that protocadherin 17 (PCDH17), one of the nonclustered delta 2-protocadherin family members, is enriched along corticobasal ganglia synapses in a zone-specific manner during synaptogenesis and regulates presynaptic assembly in these synapses. PCDH17 deficiency in mice causes facilitated presynaptic vesicle accumulation and enhanced synaptic transmission efficacy in corticobasal ganglia circuits. Furthermore, PCDH17(-/-) mice exhibit antidepressant-like phenotypes that are known to be regulated by corticobasal ganglia circuits. Our findings demonstrate a critical role for PCDH17 in the synaptic development of specific corticobasal ganglia circuits and suggest the involvement of PCDH17 in such circuits in depressive behaviors.

リンク情報
DOI
https://doi.org/10.1016/j.neuron.2013.03.031
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/23684785
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000320743400011&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.neuron.2013.03.031
  • ISSN : 0896-6273
  • PubMed ID : 23684785
  • Web of Science ID : WOS:000320743400011

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