Back to Search Start Over

Probing the mutational landscape of regulators of G protein signaling proteins in cancer.

Authors :
DiGiacomo V
Maziarz M
Luebbers A
Norris JM
Laksono P
Garcia-Marcos M
Source :
Science signaling [Sci Signal] 2020 Feb 04; Vol. 13 (617). Date of Electronic Publication: 2020 Feb 04.
Publication Year :
2020

Abstract

The advent of deep-sequencing techniques has revealed that mutations in G protein-coupled receptor (GPCR) signaling pathways in cancer are more prominent than was previously appreciated. An emergent theme is that cancer-associated mutations tend to cause enhanced GPCR pathway activation to favor oncogenicity. Regulators of G protein signaling (RGS) proteins are critical modulators of GPCR signaling that dampen the activity of heterotrimeric G proteins through their GTPase-accelerating protein (GAP) activity, which is conferred by a conserved domain dubbed the "RGS-box." Here, we developed an experimental pipeline to systematically assess the mutational landscape of RGS GAPs in cancer. A pan-cancer bioinformatics analysis of the 20 RGS domains with GAP activity revealed hundreds of low-frequency mutations spread throughout the conserved RGS domain structure with a slight enrichment at positions that interface with G proteins. We empirically tested multiple mutations representing all RGS GAP subfamilies and sampling both G protein interface and noninterface positions with a scalable, yeast-based assay. Last, a subset of mutants was validated using G protein activity biosensors in mammalian cells. Our findings reveal that a sizable fraction of RGS protein mutations leads to a loss of function through various mechanisms, including disruption of the G protein-binding interface, loss of protein stability, or allosteric effects on G protein coupling. Moreover, our results also validate a scalable pipeline for the rapid characterization of cancer-associated mutations in RGS proteins.<br /> (Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)

Details

Language :
English
ISSN :
1937-9145
Volume :
13
Issue :
617
Database :
MEDLINE
Journal :
Science signaling
Publication Type :
Academic Journal
Accession number :
32019900
Full Text :
https://doi.org/10.1126/scisignal.aax8620