Literature DB >> 29125959

Proximity labeling: spatially resolved proteomic mapping for neurobiology.

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.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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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


  58 in total

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9.  An improved smaller biotin ligase for BioID proximity labeling.

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  36 in total

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