| First Author | Taoufiq Z | Year | 2020 |
| Journal | Proc Natl Acad Sci U S A | Volume | 117 |
| Issue | 52 | Pages | 33586-33596 |
| PubMed ID | 33376223 | Mgi Jnum | J:326665 |
| Mgi Id | MGI:7316615 | Doi | 10.1073/pnas.2011870117 |
| Citation | Taoufiq Z, et al. (2020) Hidden proteome of synaptic vesicles in the mammalian brain. Proc Natl Acad Sci U S A 117(52):33586-33596 |
| abstractText | 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. |
