論文

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2020年12月29日

Hidden proteome of synaptic vesicles in the mammalian brain

Proceedings of the National Academy of Sciences
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回数 : 106
  • Zacharie Taoufiq
  • Momchil Ninov
  • Alejandro Villar-Briones
  • Han-Ying Wang
  • Toshio Sasaki
  • Michael C. Roy
  • Francois Beauchain
  • Yasunori Mori
  • Tomofumi Yoshida
  • Shigeo Takamori
  • Reinhard Jahn
  • Tomoyuki Takahashi
  • 全て表示

117
52
開始ページ
33586
終了ページ
33596
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1073/pnas.2011870117
出版者・発行元
Proceedings of the National Academy of Sciences

Current proteomic studies clarified canonical synaptic proteins that are common to many types of synapses. However, proteins of diversified functions in a subset of synapses are largely hidden because of their low abundance or structural similarities to abundant proteins. To overcome this limitation, we have developed an “ultra-definition” (UD) subcellular proteomic workflow. Using purified synaptic vesicle (SV) fraction from rat brain, we identified 1,466 proteins, three times more than reported previously. This refined proteome includes all canonical SV proteins, as well as numerous proteins of low abundance, many of which were hitherto undetected. Comparison of UD quantifications between SV and synaptosomal fractions has enabled us to distinguish SV-resident proteins from potential SV-visitor proteins. We found 134 SV residents, of which 86 are present in an average copy number per SV of less than one, including vesicular transporters of nonubiquitous neurotransmitters in the brain. We provide a fully annotated resource of all categorized SV-resident and potential SV-visitor proteins, which can be utilized to drive novel functional studies, as we characterized here Aak1 as a regulator of synaptic transmission. Moreover, proteins in the SV fraction are associated with more than 200 distinct brain diseases. Remarkably, a majority of these proteins was found in the low-abundance proteome range, highlighting its pathological significance. Our deep SV proteome will provide a fundamental resource for a variety of future investigations on the function of synapses in health and disease.

リンク情報
DOI
https://doi.org/10.1073/pnas.2011870117
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/33376223
URL
https://syndication.highwire.org/content/doi/10.1073/pnas.2011870117
ID情報
  • DOI : 10.1073/pnas.2011870117
  • ISSN : 0027-8424
  • eISSN : 1091-6490
  • PubMed ID : 33376223

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