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Targeting of Diacylglycerol Degradation to M1 Muscarinic Receptors by ß-Arrestins

Authors: Christopher D, Nelson; Stephen J, Perry; Debra S, Regier; Stephen M, Prescott; Matthew K, Topham; Robert J, Lefkowitz;

Targeting of Diacylglycerol Degradation to M1 Muscarinic Receptors by ß-Arrestins

Abstract

Seven-transmembrane receptor (7TMR) signaling is transduced by second messengers such as diacylglycerol (DAG) generated in response to the heterotrimeric guanine nucleotide–binding protein G q and is terminated by receptor desensitization and degradation of the second messengers. We show that β-arrestins coordinate both processes for the G q -coupled M1 muscarinic receptor. β-Arrestins physically interact with diacylglycerol kinases (DGKs), enzymes that degrade DAG. Moreover, β-arrestins are essential for conversion of DAG to phosphatidic acid after agonist stimulation, and this activity requires recruitment of the β-arrestin–DGK complex to activated 7TMRs. The dual function of β-arrestins, limiting production of diacylglycerol (by receptor desensitization) while enhancing its rate of degradation, is analogous to their ability to recruit adenosine 3′,5′-monophosphate phosphodiesterases to G s -coupled β 2 -adrenergic receptors. Thus, β-arrestins can serve similar regulatory functions for disparate classes of 7TMRs through structurally dissimilar enzymes that degrade chemically distinct second messengers.

Keywords

Diacylglycerol Kinase, Arrestins, Recombinant Fusion Proteins, Receptor, Muscarinic M1, Phosphatidic Acids, Transfection, Second Messenger Systems, Cell Line, Diglycerides, COS Cells, Chlorocebus aethiops, Mutation, Animals, Humans, Carbachol, RNA, Small Interfering, beta-Arrestins, Protein Binding, Signal Transduction

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Powered by OpenAIRE graph
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!
140
Top 10%
Top 10%
Top 1%