| Literature DB >> 29125959 |
Shuo Han1, Jiefu Li2, Alice Y Ting3.
Abstract
Understanding signaling pathways in neuroscience requires high-resolution maps of the underlying protein networks. Proximity-dependent biotinylation with engineered enzymes, in combination with mass spectrometry-based quantitative proteomics, has emerged as a powerful method to dissect molecular interactions and the localizations of endogenous proteins. Recent applications to neuroscience have provided insights into the composition of sub-synaptic structures, including the synaptic cleft and inhibitory post-synaptic density. Here we compare the different enzymes and small-molecule probes for proximity labeling in the context of cultured neurons and tissue, review existing studies, and provide technical suggestions for the in vivo application of proximity labeling.Entities:
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Year: 2017 PMID: 29125959 PMCID: PMC6726430 DOI: 10.1016/j.conb.2017.10.015
Source DB: PubMed Journal: Curr Opin Neurobiol ISSN: 0959-4388 Impact factor: 6.627