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Vol. 294, Issue 2, 407-412, August 2000
Department of Pharmacology, School of Medicine, University of
California, San Diego, La Jolla, California (R.S.O., P.A.I.); and
Division of Cardiovascular Medicine, Gill Heart Institute, University
of Kentucky, Lexington, Kentucky (S.R.P.)
There is great therapeutic interest in manipulating (either enhancing
or suppressing) G protein-coupled receptor (GPCR) signal transduction.
However, most current strategies are limited to pharmacological
activation or blockade of receptors. Human gene therapy, including both
overexpression and antisense approaches, may allow manipulation of GPCR
signaling at steps distal to receptors. To fully understand the impact
of such therapy, the transduction of signals between the multiple
components of GPCR signaling and their interaction with other cellular
molecules must be understood in the context of both normal physiology
and disease. Defining the stoichiometric relationship among multiple
components of GPCR signaling is a first step. We summarize data showing
the substantial excess of G
s relative to
both
-adrenergic receptors and adenylyl cyclase. A predominant idea
regarding signaling via GPCRs has for over 20 years emphasized the
concept of random movement and collision ("collision coupling") of
proteins within the lipid bilayer of the plasma membrane. This notion
does not readily account for the rapidity and fidelity of signal
transduction by the multiple components involved in GPCR-G
protein-effector systems, especially considering the low abundance of
these proteins in cells. Recently, many components involved in signal
transduction by GPCRs have been shown to exist primarily in
microdomains of the plasma membrane, in particular, caveolae. These and
other structures may serve to compartmentalize signals, thereby
optimizing signal transduction between an agonist and specific
effectors. The formation, organization, and maintenance of such
structures may prove to be altered in disease states associated with
disregulated signaling. In addition, we speculate that identification
of genetic polymorphisms of and therapy targeted to components that are
critical for determining efficacy (e.g., effectors such as adenylyl
cyclase) will provide important future therapeutic strategies.
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