Quantitative super-resolution imaging of Bruchpilot distinguishes active zone states.
Quantitative super-resolution imaging of Bruchpilot distinguishes active zone states.
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DOI:
10.1038/ncomms5650
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发表时间:
2014-08-18
影响因子:
16.6
通讯作者:
Kittel, Robert J.
中科院分区:
文献类型:
--
作者:
Ehmann, Nadine;van de Linde, Sebastian;Alon, Amit;Ljaschenko, Dmitrij;Keung, Xi Zhen;Holm, Thorge;Rings, Annika;DiAntonio, Aaron;Hallermann, Stefan;Ashery, Uri;Heckmann, Manfred;Sauer, Markus;Kittel, Robert J.
The precise molecular architecture of synaptic active zones (AZs) gives rise to different structural and functional AZ states that fundamentally shape chemical neurotransmission. However, elucidating the nanoscopic protein arrangement at AZs is impeded by the diffraction-limited resolution of conventional light microscopy. Here we introduce new approaches to quantify endogenous protein organization at single-molecule resolution in situ with super-resolution imaging by direct stochastic optical reconstruction microscopy (dSTORM). Focusing on the Drosophila neuromuscular junction (NMJ), we find that the AZ cytomatrix (CAZ) is composed of units containing ~137 Bruchpilot (Brp) proteins, three quarters of which are organized into about 15 heptameric clusters. We test for a quantitative relationship between CAZ ultrastructure and neurotransmitter release properties by engaging Drosophila mutants and electrophysiology. Our results indicate that the precise nanoscopic organization of Brp distinguishes different physiological AZ states and link functional diversification to a heretofore unrecognized neuronal gradient of the CAZ ultrastructure. Complex molecular interactions occur in the active zone cytomatrix (CAZ) within the presynaptic terminal to regulate synaptic plasticity. Here, the authors use imaging techniques to show that the CAZ is composed of units containing on average 137 Bruchpilot proteins, many of which are arranged into clusters.
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DOI:
10.1126/science.1166673
发表时间:
2009-04-03
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Gilestro GF;Tononi G;Cirelli C
通讯作者:
Cirelli C
影响因子:
16.2
作者:
Boyken, Janina;Gronborg, Mads;Chua, John Jia En
通讯作者:
Chua, John Jia En
影响因子:
25
作者:
Guerrero, G;Reiff, DF;Isacoff, EY
通讯作者:
Isacoff, EY
影响因子:
4.8
作者:
Bar-On, Dana;Wolter, Steve;Ashery, Uri
通讯作者:
Ashery, Uri
影响因子:
56.9
作者:
Betzig, Eric;Patterson, George H.;Hess, Harald F.
通讯作者:
Hess, Harald F.