bioRxivNeurosciencePreprint
Direct cryo-ET detection of native SNARE and Munc13 protein bridges using AI classification and preprocessing
Daniel H. Orozco-BorundaiD, Christos PapantoniouiD, Nils BroseiD, Vladan LučićiD
Abstract
Synaptic transmission requires Munc13 and SNARE proteins for synaptic vesicle priming and fusion. Cryo-electron tomography detected multiple types of Munc13- or SNARE-dependent dependent molecular bridges that tether synaptic vesicles to the presynaptic active zone plasma membrane. To integrate the molecular scenario with structural observations, we obtained de novo, in situ cryo-electron tomography averages of native, mammalian SNARE- and Munc13-dependent tethers. These provide direct evidence that Munc13 and a complex comprising SNARE proteins link synaptic vesicles to the active zone membrane. Furthermore, we determined the plausibility of different molecular compositions of tethers, placed constraints on their conformations and positioning, and proposed the existence of a complex downstream of Munc13 and upstream of SNARE complex formation. Because the detection and subtomogram averaging of membrane-bridging complexes is complicated by the presence of two lipid membranes and multiple protein species and conformations, we developed preprocessing methods and feature-based AI classifiers that outperformed standard methods.
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