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Structural Basis for Different Phosphoinositide Specificities of the PX Domains of Sorting Nexins Regulating G-protein Signaling*

Overview of attention for article published in Journal of Biological Chemistry, August 2014
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Title
Structural Basis for Different Phosphoinositide Specificities of the PX Domains of Sorting Nexins Regulating G-protein Signaling*
Published in
Journal of Biological Chemistry, August 2014
DOI 10.1074/jbc.m114.595959
Pubmed ID
Authors

Caroline Mas, Suzanne J Norwood, Andrea Bugarcic, Genevieve Kinna, Natalya Leneva, Oleksiy Kovtun, Rajesh Ghai, Lorena E Ona Yanez, Jasmine L Davis, Rohan D Teasdale, Brett M Collins

Abstract

Sorting nexins (SNXs) or phox homology (PX) domain containing proteins are central regulators of cell trafficking and signaling. A sub-family of PX domain proteins possesses two unique PX-associated domains, as well as a regulator of GPCR signaling (RGS) domain that attenuates Gαs-coupled GPCR-signaling. Here we delineate the structural organization of these RGS-PX proteins, revealing a protein family with a modular architecture that is conserved in all eukaryotes. The one exception to this is mammalian SNX19, which lacks the typical RGS structure but preserves all other domains. The PX domain is a sensor of membrane phosphoinositide lipids and we find that specific sequence alterations in the PX domains of the mammalian RGS-PX proteins, SNX13, SNX14, SNX19 and SNX25, confer differential phosphoinositide binding preferences. While SNX13 and SNX19 PX domains bind the early endosomal lipid phosphatidylinositol 3-phosphate (PtdIns3P), SNX14 shows no membrane binding at all. Crystal structures of the SNX19 and SNX14 PX domains reveal key differences, with alterations in SNX14 leading to closure of the binding pocket to prevent phosphoinositide association. Our findings suggest a role for alternative membrane interactions in spatial control of RGS-PX proteins in cell signaling and trafficking.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 7 18%
Student > Master 5 13%
Professor > Associate Professor 3 8%
Professor 3 8%
Other 3 8%
Unknown 10 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 20%
Agricultural and Biological Sciences 8 20%
Medicine and Dentistry 3 8%
Chemistry 2 5%
Business, Management and Accounting 1 3%
Other 3 8%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 October 2014.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Journal of Biological Chemistry
#82,451
of 85,240 outputs
Outputs of similar age
#212,192
of 247,499 outputs
Outputs of similar age from Journal of Biological Chemistry
#375
of 466 outputs
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