@article{b268247507ff4d1e86fda56c5c915cc8,
title = "An Approach to Spatiotemporally Resolve Protein Interaction Networks in Living Cells",
abstract = "Cells operate through protein interaction networks organized in space and time. Here, we describe an approach to resolve both dimensions simultaneously by using proximity labeling mediated by engineered ascorbic acid peroxidase (APEX). APEX has been used to capture entire organelle proteomes with high temporal resolution, but its breadth of labeling is generally thought to preclude the higher spatial resolution necessary to interrogate specific protein networks. We provide a solution to this problem by combining quantitative proteomics with a system of spatial references. As proof of principle, we apply this approach to interrogate proteins engaged by G-protein-coupled receptors as they dynamically signal and traffic in response to ligand-induced activation. The method resolves known binding partners, as well as previously unidentified network components. Validating its utility as a discovery pipeline, we establish that two of these proteins promote ubiquitin-linked receptor downregulation after prolonged activation.",
keywords = "APEX, GPCR, adrenergic receptor, mass spectrometry, opioid receptor, proximity labeling",
author = "Lobingier, {Braden T.} and Ruth H{\"u}ttenhain and Kelsie Eichel and Miller, {Kenneth B.} and Ting, {Alice Y.} and {von Zastrow}, Mark and Krogan, {Nevan J.}",
note = "Funding Information: B.T.L. was supported by the Program for Breakthrough Biomedical Research, which is partially funded by the Sandler Foundation and by the NIH (F32DA038947). R.H. is a recipient of postdoctoral fellowships from the Swiss National Science Foundation (P2EZP3_148742; P300P3_151154), the European Molecular Biology Organization (ALTF 1123-2013), and the Human Frontiers in Science Program (LT000089/2014-L). R.H. was also supported by NIH funding for the UCSF-Gladstone Institute of Virology and Immunology Center for AIDS Research (CFAR; P30-AI027763). K.E. is a recipient of the National Science Foundation Graduate Research Fellowship. A.Y.T. was supported by funding from the NIH (R01CA186568). M.v.Z. was supported by funding from the NIH (R01DA012864 and DA010711). N.J.K was supported from the NIH (P50 GM082250, U19 AI106754, P01 HL089707, P01 CA177332, U19 AI118610, R01 AI120694, and P01 AI063302). The work was carried out in the Thermo Fisher Scientific Mass Spectrometry Facility for Disease Target Discovery at the J. David Gladstone Institutes. We thank Hannes Braberg for advice on the hierarchical clustering analysis, Mike Shales for help with figure design, Aaron Marley, Nathan Thomsen, and James Wells for valuable discussion, and members of both the von Zastrow lab and Krogan lab for helpful advice and comments. Publisher Copyright: {\textcopyright} 2017 Elsevier Inc.",
year = "2017",
month = apr,
day = "6",
doi = "10.1016/j.cell.2017.03.022",
language = "English (US)",
volume = "169",
pages = "350--360.e12",
journal = "Cell",
issn = "0092-8674",
publisher = "Cell Press",
number = "2",
}