| Literature DB >> 33376223 |
Zacharie Taoufiq1, Momchil Ninov2, Alejandro Villar-Briones3, Han-Ying Wang4, Toshio Sasaki5, Michael C Roy3, Francois Beauchain4, Yasunori Mori6, Tomofumi Yoshida6, Shigeo Takamori6, Reinhard Jahn7, Tomoyuki Takahashi1.
Abstract
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.Entities:
Keywords: brain disorders; deep proteomics; neurotransmission; synapse; synaptic vesicles
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Year: 2020 PMID: 33376223 PMCID: PMC7776996 DOI: 10.1073/pnas.2011870117
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 12.779