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10.1016/j.cell.2017.03.022 http://scihub22266oqcxt.onion/10.1016/j.cell.2017.03.022 C5616215!5616215!28388416     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cell 2017 ; 169 (2): 350-360.e12 Nephropedia Template TP {{tp|p=28388416|t=2017. An Approach to Spatiotemporally Resolve Protein Interaction Networks in Living Cells |pdf=|usr=}}{{28388416}} gab.com Text An Approach to Spatiotemporally Resolve Protein Interaction Networks in Living Cells JO: Cell http://www.kidney.de/pget.php?&tw=1&pmid=28388416 #FOAvip 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. Twit Text FOAVip An Approach to Spatiotemporally Resolve Protein Interaction Networks in Living Cells ????Cell http://www.kidney.de/pget.php?&tw=1&pmid=28388416 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28388416 #FOAvip English Wikipedia <ref>{{Cite pmid|28388416}}</ref> An Approach to Spatiotemporally Resolve Protein Interaction Networks in Living Cells #MMPMID28388416 Lobingier BT; Hüttenhain R; Eichel K; Miller KB; Ting AY; von Zastrow M; Krogan NJ Cell 2017[Apr]; 169 (2): 350-360.e12 PMID28388416show ga 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. äAn Approach to Spatiotemporally Resolve Protein Interaction Networks i(epmc).pdf DeepDyve Pubget Overpricing