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Analysis of RAS protein interactions in living cells reveals a mechanism for pan-RAS depletion by membrane-targeted RAS binders

Authors: Yao-Cheng Li; Nikki K. Lytle; Seth T. Gammon; Luke Wang; Tikvah K. Hayes; Margie N. Sutton; Robert C. Bast; +4 Authors

Analysis of RAS protein interactions in living cells reveals a mechanism for pan-RAS depletion by membrane-targeted RAS binders

Abstract

Significance RAS proteins, critical regulators of cell growth and differentiation, are the most frequently mutated oncogenes in humans. RAS functions as dimers/coclusters on cell membranes. We developed an improved split luciferase complementation assay coupled to a powerful genetic system to show that colocalization within the same membrane domain enables formation of RAS dimers/coclusters with itself and other membrane-associated proteins. Membrane association-facilitated interactions (MAFIs) are not sufficient for RBD-mediated Ras inhibition, which additionally requires high-affinity domain-mediated interactions. Notably, we show that MAFI augments the impact of domain-mediated interactions to elicit autophagy/lysosome-mediated elimination of nonfunctional RAS complexes. This broadly applicable strategy enables discovery of low-affinity protein interactions mediated by membrane tethering and analysis of their impact on biologic function.

Country
United States
Keywords

Models, Molecular, 1.1 Normal biological development and functioning, NRAS, split-luciferase complementation, protein-protein interaction, Underpinning research, Models, KRAS, 2.1 Biological and endogenous factors, Humans, Protein Isoforms, Protein Interaction Domains and Motifs, Aetiology, Cancer, Cell Membrane, Autophagosomes, Molecular, protein–protein interaction, HRAS, ras Proteins, Lysosomes, Signal Transduction

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    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
Green
bronze