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Detalle de: Visualizing the impact of disease-associated mutations on G protein–nucleotide interactions

Title Visualizing the impact of disease-associated mutations on G protein–nucleotide interactions
Abstract

Activation of G proteins stimulates ubiquitous intracellular signaling cascades essential for life processes. Under normal physiological conditions, nucleotide exchange is initiated upon the formation of complexes between a G protein and G protein-coupled receptor (GPCR), which facilitates exchange of bound GDP for GTP, subsequently dissociating the trimeric G protein into its Gα and Gβγ subunits. However, single point mutations in Gα circumvent nucleotide exchange regulated by GPCR–G protein interactions, leading to either loss-of-function or constitutive gain-of-function. Mutations in several Gα subtypes are closely linked to the development of multiple diseases, including several intractable cancers. We leveraged an integrative spectroscopic and computational approach to investigate the mechanisms by which seven of the most frequently observed clinically-relevant mutations in the α subunit of the stimulatory G protein result in functional changes. Variable temperature circular dichroism (CD) spectroscopy showed a bimodal distribution of thermal melting temperatures across all Gα S variants. Modeling from molecular dynamics (MD) simulations established a correlation between observed thermal melting temperatures and structural changes caused by the mutations. Concurrently, saturation-transfer difference NMR (STD– NMR) highlighted variations in the interactions of Gα S variants with bound nucleotides. MD simulations indicated that changes in local interactions within the nucleotide-binding pocket did not consistently align with global structural changes. This collective evidence suggests a multifaceted energy landscape, wherein each mutation may introduce distinct perturbations to the nucleotide-binding site and protein-protein interaction sites. Consequently, it underscores the importance of tailoring therapeutic strategies to address the unique challenges posed by individual mutations.

Apa Reference Anazia, K., Koenekoop, L., Ferré, G., Petracco, E., Gutiérrez-de-Teran, H. & Eddy, M.T. (2024). Visualizing the impact of disease-associated mutations on G protein–nucleotide interactions. 10.1101/2024.01.30.578006
Doi 10.1101/2024.01.30.578006
Publication Date 1 Feb 2024
Publication Type Preprint
Researcher Hugo Gutiérrez de Terán Castañón
Ontology Computational models and simulations, Mutation Analysis and design, Biomolecular simulation, Molecular Interactions/Docking, Protein-Protein Interactions, Development
Research Groups Computational Biochemistry of Membrane Receptors
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