![]() |
|
|
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.)
| |
Abstract |
|---|
|
|
|---|
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.
| |
Introduction |
|---|
|
|
|---|
The transduction of signals from the extracellular environment across the plasma membrane barrier and into the intracellular milieu is a fundamental aspect of cellular regulation. Nature has evolved a variety of means to accomplish this feat, in particular, via the use of many different types of ligands and receptors. One can generalize that such signal transduction pathways fall into four basic paradigms: 1) membrane receptors that function as ion channels, 2) membrane receptors that are enzymes, 3) intracellular receptors that recognize lipophilic ligands that diffuse across the plasma membrane, and 4) G protein-coupled receptors (GPCRs). In contrast with the other three systems, GPCR systems involve membrane interaction of components in addition to the receptor to initiate transduction of extracellular signals into the cell. Additional molecules are required to mediate feedback regulation and to integrate such signals with other cellular inputs and events. Therapeutic manipulations of GPCR systems have thus far been limited primarily to pharmacological blockade or activation of the receptors. Although GPCRs are useful as drug targets because of their patterns of distribution on different cell types and the preferential role of particular GPCR subtypes in mediating specific responses, postreceptor components are also potential therapeutic targets. If one wishes to alter GPCR signaling pathways in novel ways, it is necessary to understand the dynamics of activation for each component in the pathway and the subsequent interactions among these components.
One approach to identify novel therapeutic strategies is to examine the
stoichiometry, i.e., absolute concentrations or relative proportions of
each component, of a GPCR signal transduction pathway expressed in a
given cell. Identifying the components that determine potency
(sensitivity, EC50, etc.) and efficacy (maximal
response) can lead to insights as how to best enhance or suppress a
disregulated system. Such studies have been completed for the
Gs-linked adenylyl cyclase (AC) pathway in
cardiac myocytes (described below). Moreover, the recent evidence that
many signaling molecules are enriched in specialized microdomains of
the plasma membrane increases the likelihood that GPCR signaling is
highly compartmentalized in cells (for reviews, see Neubig,
1994
; Chidiac, 1998
; Okamoto et al., 1998
; Shaul and Anderson,
1998
). Considering the rapidity and fidelity of signal transduction by
GPCR systems, it has been suggested that the essential molecules of
such pathways are held in close association with one another and not
freely floating or dependent on random collision to interact. The
evidence supporting this idea and the therapeutic implications of
stoichiometric expression and compartmentation are the focus of this Perspective.
| |
Components of GPCR Signaling: GPCR-Gs/Gi-AC as a Paradigm |
|---|
|
|
|---|
In addition to GPCRs as the initial components that interact with
extracellular hormone or neurotransmitter, GPCRs transduce signals by
coupling to heterotrimeric (
-,
-,
-subunit-containing) GTP-binding (G) proteins that regulate effector molecules. There are
four principal G protein families (Gs,
Gi, Gq/11,
G12/13), each identified by structurally similar
-subunits that preferentially regulate specific classes of effector
molecules. Gq/11 stimulates phospholipase C
(PLC), Gs stimulates AC, and
Gi inhibits AC and activates
K+ channels, although family members can regulate
multiple types of effector enzymes, ion channels, and transporters. The
intrinsic GTPase activity of Gi and
Gq
-subunits can be enhanced by regulators of
G protein signaling (RGS) proteins (Dohlman and Thorner, 1997
), and
Gs
-subunit GTPase activity can be enhanced by
AC (Scholich et al., 1999
). The G
and
G
subunits function as a heterodimer to
regulate effector molecules and other proteins involved in GPCR
signaling and also to restrain G
action by
forming inactive G

complexes.
Among the various G protein-regulated effectors, AC is arguably the
most well studied and has provided a particularly useful system to
examine GPCR stoichiometry. AC, regulated by Gs
and Gi, synthesizes cAMP from ATP, which in turn
regulates cell function via activation of cAMP-dependent protein kinase
(PKA). PKA phosphorylates serine residues on substrates to initiate
cellular actions of cAMP, and phosphatases reverse such phosphorylation
and actions. Cells "target" the relatively nonspecific kinase
activity of PKA via A-kinase anchoring proteins (AKAPs) so that the
kinase preferentially phosphorylates specific substrates (Colledge and
Scott, 1999
). A substantial number of different AKAP proteins have been
identified. These include molecules that show preference for individual
isoforms of PKA and for interaction with specific types of substrates. An example is AKAP250 (also known as gravin), which interacts with the
-adrenergic receptor (
-AR) and targets activated PKA to
phosphorylate the receptor, thus permitting specific feedback regulation of receptor activity (Shih et al., 1999
). Targeting mechanisms also exist for G protein receptor kinases (GRKs) that phosphorylate
-ARs and other GPCRs. Targeting of GRK to activated receptors is mediated by
G
subunits, which
appear to enhance the specificity of GRK for agonist-occupied receptors (Krupnick and Benovic, 1998
; Lefkowitz, 1998
). By phosphorylating receptors, GRKs impair interaction of GPCRs with G proteins and induce
the recruitment of
-arrestin, a protein that acts as an adapter
between the receptor and clathrin and thereby initiates internalization
via clathrin-coated pits (Ferguson et al., 1996
; Goodman et al., 1996
).
| |
Stoichiometry of AC Pathway |
|---|
|
|
|---|
As discussed above, there is great interest in therapeutic efforts
to modulate GPCR signaling. This has been particularly true for
-AR
signal transduction. Given the multicomponent interactions required for
GPCR signaling, it is intriguing to imagine that each of the components
has the potential to be a therapeutic target. Developing new approaches
to accomplish this depends on understanding which component(s) of these
signal transduction pathways are most critical in determining efficacy
and potency of the system. Classical receptor theory predicts that
expression of receptor, as the site of interaction with the agonist,
determines potency, and indeed some studies confirm this theoretical
prediction (Milligan, 1996
).
However, it is not so simple to prognosticate which component
determines efficacy of the system. In part, this difficulty relates to
what one may wish to define as "response". Most molecular pharmacologists focus on the initial event (i.e., generation of second
messenger) and assess receptor occupancy relative to maximal formation
of second messenger. We emphasize this approach in this Perspective.
Others assess response as activation of "downstream" enzymes,
channels, or physiological events. In these latter cases, downstream components that limit the rate or extent of response may
prove to be as, or more, critical than upstream components that
regulate second-messenger formation. For example, if one wishes to
examine
-AR activation in the heart, one might relate receptor
occupancy to G protein or AC activation, cAMP formation, PKA
activation, ion channel activity, contractile protein or metabolic enzyme phosphorylation, or measures of inotropy, chronotropy, lusitropy, or dromotropy.
Studies to assess efficacy based on second-messenger formation
necessitate quantification of each of the components involved. In the
case of
-AR-Gs-AC, one can use radioligand
binding to quantitate receptors and AC (using
[3H]forskolin for the latter) and
radioimmunoassay or quantitative immunoblotting to quantitate
Gs. Using this approach, we conducted initial
studies to quantify
-AR signaling components of AC in S49 murine
lymphoma cells. In these cells, the ratio of receptor:G protein:AC is
approximately 1:100:3, and receptor activation of Gs appears to be the critical factor for
amplification of signaling (Alousi et al., 1991
). Subsequent studies in
adult rat cardiac myocytes and with NG108-15 cells yielded comparable
results (Post et al., 1995
; Milligan, 1996
). These results, together
with assumptions regarding uniform accessibility and equivalent
function of individual components, lead one to predict that either
receptor or AC, but not Gs, would set the limit
on the maximum efficacy of the system. Related data are consistent with
the idea that other effectors (e.g., voltage-sensitive calcium
channels) are expressed at a level akin to that of AC (Szabadkai et
al., 1998
). How the low absolute concentration of GPCR, G protein, and
effector (in the femtomole to low picomole per milligram of protein
range) favors rapid, high-fidelity interaction of components required
for signal transduction in native cells and membranes is not clear. In
addition, the stoichiometric expression of 
-subunits, in
particular different combinations of
- and
-subunits, has not
been evaluated carefully relative to other components, a major
shortcoming considering their importance in GPCR signaling. Release of

-subunits should occur in molar equivalent to that of
-subunits on activation, but their subsequent cellular effects
likely depend on the regulation of effectors by specific isoforms of

(Hildebrandt, 1997
).
Subsequent studies, primarily those conducted with cardiac
preparations, have strongly suggested that AC is the critical component that limits maximal
-AR response. This is true whether one measures cAMP accumulation in isolated cells, AC activity in membranes, or
functional parameters in whole hearts. Overexpression of
-AR subtypes or Gs in isolated cells or transgenic
animals leads to small increases in the maximum cAMP and only modest
enhancement in cardiac performance in response to
-AR activation
(Milano et al., 1994
; Gaudin et al., 1995
). In contrast, overexpression of AC type 6 (AC6) increases maximal cAMP response in a manner proportional to the degree of overexpression of the enzyme (Gao et al.,
1998
). Furthermore, transgenic mice with cardiac-directed overexpression of AC6 display improved cardiac performance and
-AR-mediated cAMP formation (Gao et al., 1999
; Roth et al., 1999
).
The stoichiometry for other GPCR families may not be the same as for
Gs-linked systems. For
G
i, it is believed that
levels of expression are somewhat greater than those of
G
s, whereas receptor
expression resembles that of Gs-linked GPCRs
(Milligan, 1996
). However, the fact that RGS proteins can regulate
Gi activity, whereas no known RGS protein
regulates Gs, may result in different kinetics of
activation of this pathway. Stoichiometry in the
Gq/PLC pathway is likely to be very different
than that observed for Gs. Although there are no
documented efforts to define the stoichiometric relationships of
components in Gq-linked pathways, studies using receptor alkylating agents such as benzylilcholine mustard and phenoxybenzamine (selective for muscarinic and
-ARs, respectively) indicate that such GPCR systems possess a high degree of receptor reserve (Siegel and Triggle, 1982
; Ruffolo, 1986
). Data for
Gq/11 suggest levels of expression akin to those
for Gs, albeit with substantial decreases, at
least in some tissues, during postnatal development (Mochizuki et al.,
1995
). Conceivably, the expression and kinetics of PLC activity
may be key for signal amplification of those systems. The components
that are most critical for potency and efficacy in
Gq/11 and G12/13 systems
remain to be defined and may yield results different from those
observed for Gs-linked systems.
| |
Compartmentation of GPCR Signaling |
|---|
|
|
|---|
Stoichiometric analysis of the overall cellular expression of
components of signal transduction pathways may be an overly simplistic
approach because such analysis fails to account for the potential
compartmentation of molecules in cells. Such compartmentation is well
known, wherein certain cells establish protein domains on one portion
of the cell that are strikingly different from another. For example,
epithelial cells have luminal and basolateral surfaces with a distinct
segregation of proteins, including receptors and other signaling
molecules (Wozniak et al., 1997
). In addition, target cells innervated
by neurons typically have subsynaptic regions enriched with high
concentrations of certain receptors, transporters, and enzymes
(Colledge and Froehner, 1998
). Specific protein domains, such as PDZ
(PSD-95, Discs large, ZO-1) domains, may be responsible for the
differential targeting of molecules in neurons and epithelia (Kim,
1997
) and for the clustering of multiple proteins into functional
complexes (Fanning and Anderson, 1999
). This type of compartmentation
likely aids in amplification of signals and can contribute to the
specialized responses of differentiated cells. Other observations at a
single-cell level imply existence of subcellular compartments. For
example, both
1- and
2-ARs stimulate production of cAMP and
activate PKA in cardiac myocytes, but only
1-AR-promoted PKA activity appears to lead to
the phosphorylation of downstream effector molecules, such as
phospholamban and troponin, proteins involved in the regulation of the
contractile machinery (Kuschel et al., 1999
).
Several targeting proteins have been identified that may help organize
GPCR signaling and may contribute to the compartmentation of the
signaling components. The aforementioned AKAPs target the PKA catalytic
subunit to particular effector molecules (Colledge and Scott, 1999
).
RACKs, also known as receptors for activated C kinase, target PKC to
particular phosphorylation targets (Mochly-Rosen and Gordon, 1998
).
RAMPs (receptor activity modifying proteins) serve as accessory
proteins for a particular GPCR (which can be activated by calcitonin or
adrenomedullin) and facilitate its transport to the cell surface and
regulate its glycosylation and pharmacology (Foord and Marshall, 1999
).
Other as-yet-unidentified RAMPs may play similar roles for other GPCRs.
AKAPs, RACKs, RAMPs, and other such proteins (probably many yet to be
identified) facilitate the rapid and specific signaling characteristic
of GPCR activation and may be specifically compartmentalized themselves.
| |
Signaling Molecules in Caveolae and Coated Pits |
|---|
|
|
|---|
Recent studies have emphasized the localization of GPCR-signaling
components in specific membrane microdomains, caveolae, and the
potential role of the caveolar protein caveolin as a scaffolding and
regulatory molecule (Shaul and Anderson, 1998
). Thus, the concept of
"prearranged signaling complexes" has been put forth (Okamoto et
al., 1998
). Although this idea is controversial, if true, it would
limit the utility of analyzing total cellular expression (and
stoichiometry) of components because a given pool of receptors may be
physically and functionally "precoupled" to a G protein (or perhaps
a small pool of total cellular G protein) and a specific effector. This
concept would also be a mechanism to account for rapid, high-fidelity
signaling of multicomponent systems such as that of GPCRs.
Caveolae, or "little caves", so-called because of their
morphological identity as flask-like invaginations, are membrane
regions enriched in particular proteins (caveolins and probably others) and lipids (cholesterol, sphingolipids). Caveolae were originally identified (almost 50 years ago) in endothelial cells, but are found in
a wide variety of cell types where they are involved in potocytosis,
endocytosis, and transcellular movement of molecules (Anderson, 1998
).
Endocytosis by caveolae differs from that mediated by another
specialized region of the plasma membrane, clathrin-coated pits. These
two vesicular structures differ biochemically and transport different
types of molecules and thus represent parallel but distinct pathways.
The recent renaissance in thinking of caveolae as centers for signal
transduction has been aided by the discovery of a marker protein for
these structures, caveolin, which has facilitated biochemical
"purification" of caveolae and analysis of the proteins that reside
therein. The separation of caveolar membranes depends on their
enrichment for lipids that impart higher buoyancy than the rest of the
plasma membrane and thus facilitate separation of caveolin-rich
fractions on sucrose gradients. Such fractions may or may not contain
morphologically distinct caveolae (Hooper, 1999
). Use of certain
detergents provides a rapid means to isolate caveolin-rich fractions,
but detergents may alter retention of proteins in the resultant
fractions. Thus, for studies of signaling components, detergent-free
methods are preferred (Song et al., 1996
; Oh and Schnitzer, 1999
).
Three different caveolins have been identified (called caveolin 1-3,
caveolin-3 being a muscle-specific caveolin) that can be detected
immunologically with commercially available antibodies. Researchers
using this approach have defined a growing list of signaling molecules
localized in caveolae or closely associated with caveolins (Table
1). GPCRs, as well as various receptor
tyrosine kinases (including receptors for platelet-derived growth
factor, epidermal growth factor, and nerve growth factor), have also
been localized in caveolae, as have many of the molecules critical in
transducing the signals initiated by these types of receptors. Most of
the molecules involved in GPCR signaling (including GPCRs, G proteins,
AC, PKA, and GRK) have been localized to caveolae, with the exception
(thus far) of AKAPs and
-arrestins (Table 1). Therefore, caveolar
microdomains concentrate signaling molecules and may also
compartmentalize or segregate components.
|
Merely describing the expression of signaling proteins in caveolae is a
long way from definitively demonstrating that the components exist in
preassembled complexes. However, several different approaches have
strongly suggested that this is the case. For example, disrupting
caveolae using detergents, cholesterol-removing agents, or other
methods can lead to altered signaling. Disruption of caveolae inhibits
phophinositide hydrolysis by interfering with the interaction of the
enzyme that mediates this hydrolysis (PLC) with its substrate
(phosphatidylinositol 4,5-bisphosphate), which is also enriched
in caveolae (Pike and Casey, 1996
). By contrast, caveolar disruption
can lead to increased activity of AC, perhaps because of removal of the
enzyme from inhibition by caveolin (Toya et al., 1998
).
Caveolin exists in a hairpin-like structure with both the carboxy and
amino tails intracellular separated by a turn in the membrane. On the
N-terminal portion of caveolin-1 and -3 is a putative caveolin
scaffolding domain, in part based on its interaction with binding
motifs that exist in numerous signaling proteins as a conserved
sequence of aromatic residues (Table 2).
Interestingly, the binding of caveolin-1 or -3 (or peptide fragments
thereof) to these signaling molecules generally results in their
inactivation. Therefore, caveolin appears to be a negative regulator of
signal transduction. Activities of G proteins, AC, GRK, PKC, multiple tyrosine kinases, and endothelial nitric-oxide synthase are each suppressed on interacting with caveolin or caveolin peptides (Couet et
al., 1997
; Toya et al., 1998
; Carman et al., 1999
). These observations are thus consistent with the notion that caveolins serve both as
scaffolding molecules and as regulators of cell signaling.
|
Clathrin-coated pits are involved in internalization of GPCRs and
desensitization of receptor responses as well as in endocytosis and
vesicular transport. Coated pits form from the interaction of clathrin
with other specific proteins such as adaptins and dynamin. These
proteins, and their associated cargo, initiate the budding process and
pinching off of clathrin-containing vesicles. Certain GPCRs are
targeted to clathrin-coated pit domains, perhaps in part by
G
-activated GRK
phosphorylation and the subsequent recruitment of
-arrestin, which
escort the receptors into these domains (Krupnick and Benovic, 1998
;
Lefkowitz, 1998
). In addition, muscarinic cholinergic, bradykinin, and
-AR receptors (at least in some cells) can translocate to caveolar
membranes on agonist activation, implicating this structure as a means
of internalizing certain GPCRs (Raposo et al., 1989
; de Weerd and
Leeb-Lundberg, 1997
; Feron et al., 1997
). In contrast, adenosine
A1 receptors translocate out of caveolae on
exposure to agonist (Lasley et al., 2000
). Clathrin-coated pits and
caveolae differ in their intracellular destinations and thus may impart
different fates for the internalized molecules. Therefore, although
endocytosis of certain receptors (e.g., low-density lipoprotein
receptors, certain GPCRs, and receptor tyrosine kinases) occur via
clathrin-coated pit endocytosis, caveolae likely act as a separate, but
nonredundant, route for internalization of other receptors. It is
further possible that certain types of receptors may initially localize
to caveolae on activation but subsequently exit these domains during
the desensitization process. Additional work is needed to understand
the precise roles of these two specialized membrane microdomains in
signal transduction, including assessment as to whether other
components involved in regulation of GPCR signaling (e.g., RACKs,
RAMPs, RGS proteins, AKAPs, and other "partners") exist in caveolar microdomains.
| |
Therapeutic Implications |
|---|
|
|
|---|
The evolving ideas regarding stoichiometry and compartmentation of signaling molecules have numerous implications in terms of development and use of therapeutic agents. We briefly address two of these: choice of therapeutic targets and role of genetic polymorphisms.
If one accepts the notion of the critical role for expression of
receptors and effectors as determinants of potency and efficacy, respectively, then therapy directed to each of those components may
have very different effects on cell signaling. Receptor blockade by
competitive antagonists will produce the expected patterns of rightward
shifts in agonist concentration-response curves but will not alter
maximal response. Furthermore, settings with higher concentrations of
agonists would require higher concentrations of antagonists (i.e.,
higher IC50 values) to achieve equivalent decreases in signaling. For example, a higher concentration of a
-AR
antagonist would be required to decrease
-AR stimulation of cardiac
cells in a physiological setting, such as exercise, in which
circulating catecholamines are increased. Enhancement of receptor
number would be expected to produce a leftward shift in the agonist
concentration-response curve, thereby sensitizing cells to endogenous
or exogenous agonist, but having only a minor effect on maximal levels
of signal transduction. This idea has been borne out in efforts to
increase
-AR number in the heart via generation of transgenic
animals or by gene transfer to cardiac myocytes. Increased expression
of
-AR subtypes leads to increases in "basal" levels of cAMP,
leftward shift of agonist concentration-response curves, and only
minimal (if any) increase in maximal response to agonist activation
(Milano et al., 1994
; Zolk et al., 1998
), the predicted result if
expression of the effector AC determines maximal response.
Although the concepts related to receptors and receptor agonists and
antagonists are well known in pharmacology, the impact of changing G
protein or effector concentration has not been as carefully considered.
Given the large stoichiometric excess of G proteins, we believe that
attempts to manipulate their level may have only minimal impact on the
usual types of cell signaling, but may considerably perturb cells via
less "traditional" mechanisms. For example, transgenic animals that
overexpress Gs
in the heart have a very small
increase in ability to generate cAMP but develop decreased cardiac
function, perhaps because of changes in Ca2+
dynamics resulting from Gs interaction with
molecules other than AC (Lader et al., 1998
). On the other hand, if
only a portion of a cell's content of a G protein is appropriately
compartmentalized with cognate receptors and effectors, adding to or
subtracting from this specific population of G protein might be
expected to have a substantial impact on signaling. In addition, if
particular combinations of
-,
-, and
-subunits link to
different receptors and effectors (Hildebrandt, 1997
), then
manipulating the levels of specific G protein subunits might achieve
selectivity in the regulation of responses to endogenous agonists.
Manipulation of expression of effector molecules would be expected to
have a major impact on efficacy. There are a number of disease entities
in which such an effect might be desirable. Three examples related to
-AR-mediated cAMP formation via ACs are: 1) asthma, wherein one
might enhance cAMP formation in airway epithelial and smooth muscle
cells; 2) cystic fibrosis, in which increased cAMP formation might
enhance expression and function of the cystic fibrosis transmembrane
regulator; and 3) congestive heart failure, for which enhanced
responsiveness of AC might improve cardiac metabolism and contractility
(Post et al., 1999
). Limited data are available, but recent biochemical
and functional findings related to congestive heart failure indicate
that transgenic overexpression of AC6 has a beneficial or protective
effect (Roth et al., 1999
). Unlike effects studied in mice
overexpressing
-AR or Gs, the effects of AC6
overexpression appear long-lived and without significant side effects
or changes in basal cAMP formation, perhaps because of the tight
regulation of AC activity even when overexpressed. Other settings may
provide additional opportunities in which manipulating the expression
of AC or other effectors could have therapeutic benefit. Both the
stoichiometric relationship and potential compartmentation of
components should be considered in particular cells and tissues in
developing new gene therapy approaches targeted to GPCR signaling.
Genetic polymorphisms in signaling molecules are likely to prove of
considerable importance in pharmacology. Recent data have emphasized
coding polymorphisms in several different GPCRs, some of which alter
the ability of the receptors to activate signaling pathways, whereas
others have changes that perturb ability of the receptors to be
desensitized (e.g., Büscher et al., 1999
; Liggett, 1999
). Other
recent data have suggested that G protein subunits may have
polymorphisms in coding or noncoding regions that may be linked to
alterations in disease susceptibility or response to pharmacological
agents (Siffert et al., 1998
; Jia et al., 1999
). To date, essentially
nothing is known about polymorphisms in effector molecules.
Polymorphisms in molecules involved in GPCR signaling that impart
alterations in function or expression could have profound effects if
that component is key for determining the potency or efficacy of the
response. The ideas related to the critical role of effector molecules
in determining maximal responses to agonists presented above suggest
that studies designed to identify and characterize such polymorphisms
should produce useful results. We hypothesize that polymorphic
alterations changing expression or function of effectors will have an
important impact on signaling and response in cells and will effect the
use of therapeutic agents.
| |
Footnotes |
|---|
1 This work was supported by grants from the National Institutes of Health and the Cystic Fibrosis Foundation.
Received for publication February 10, 2000.
Send reprint requests to: Paul A. Insel, M.D., Department of Pharmacology, 0636, University of California, San Diego, La Jolla, CA 92093-0636. E-mail: pinsel{at}ucsd.edu
| |
Abbreviations |
|---|
GPCR, G protein-coupled receptor; AC, adenylyl cyclase; RGS, regulator of G protein signaling; AC6, adenylyl cyclase type 6; PGE2, prostaglandin E2; PKA, cAMP-dependent protein kinase; AKAP, A-kinase anchoring protein; PKC, protein kinase C; AR, adrenergic receptor; GRK, G protein receptor kinase; RACK, receptor for activated C kinase; RAMP, receptor activity modifying protein; PLC, phospholipase C.
| |
References |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
S. M. Pontier, Y. Percherancier, S. Galandrin, A. Breit, C. Gales, and M. Bouvier Cholesterol-dependent Separation of the {beta}2-Adrenergic Receptor from Its Partners Determines Signaling Efficacy: INSIGHT INTO NANOSCALE ORGANIZATION OF SIGNAL TRANSDUCTION J. Biol. Chem., September 5, 2008; 283(36): 24659 - 24672. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Qin, P. R. Sethi, and N. A. Lambert Abundance and stability of complexes containing inactive G protein-coupled receptors and G proteins FASEB J, August 1, 2008; 22(8): 2920 - 2927. [Abstract] [Full Text] [PDF] |
||||
![]() |
U. Renner, K. Glebov, T. Lang, E. Papusheva, S. Balakrishnan, B. Keller, D. W. Richter, R. Jahn, and E. Ponimaskin Localization of the Mouse 5-Hydroxytryptamine1A Receptor in Lipid Microdomains Depends on Its Palmitoylation and Is Involved in Receptor-Mediated Signaling Mol. Pharmacol., September 1, 2007; 72(3): 502 - 513. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. T. Griffin, K. W. Figueroa, S. Liller, and F. J. Ehlert Estimation of Agonist Activity at G Protein-Coupled Receptors: Analysis of M2 Muscarinic Receptor Signaling through Gi/o,Gs, and G15 J. Pharmacol. Exp. Ther., June 1, 2007; 321(3): 1193 - 1207. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. A. Bundey and P. A. Insel Adenylyl Cyclase 6 Overexpression Decreases the Permeability of Endothelial Monolayers via Preferential Enhancement of Prostacyclin Receptor Function Mol. Pharmacol., November 1, 2006; 70(5): 1700 - 1707. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. H. Patel, B. P. Head, H. N. Petersen, I. R. Niesman, D. Huang, G. J. Gross, P. A. Insel, and D. M. Roth Protection of adult rat cardiac myocytes from ischemic cell death: role of caveolar microdomains and {delta}-opioid receptors Am J Physiol Heart Circ Physiol, July 1, 2006; 291(1): H344 - H350. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. M. Krumins and A. G. Gilman Targeted Knockdown of G Protein Subunits Selectively Prevents Receptor-mediated Modulation of Effectors and Reveals Complex Changes in Non-targeted Signaling Proteins J. Biol. Chem., April 14, 2006; 281(15): 10250 - 10262. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. M. L. Smith, Y. Lei, J. Liu, M. E. Cahill, G. M. Hagen, B. G. Barisas, and D. A. Roess Luteinizing Hormone Receptors Translocate to Plasma Membrane Microdomains after Binding of Human Chorionic Gonadotropin Endocrinology, April 1, 2006; 147(4): 1789 - 1795. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. P. Head, H. H. Patel, D. M. Roth, N. C. Lai, I. R. Niesman, M. G. Farquhar, and P. A. Insel G-protein-coupled Receptor Signaling Components Localize in Both Sarcolemmal and Intracellular Caveolin-3-associated Microdomains in Adult Cardiac Myocytes J. Biol. Chem., September 2, 2005; 280(35): 31036 - 31044. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Wieland and M. C. Michel Can a GDP-Liganded G-Protein Be Active? Mol. Pharmacol., September 1, 2005; 68(3): 559 - 562. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Maudsley, B. Martin, and L. M. Luttrell The Origins of Diversity and Specificity in G Protein-Coupled Receptor Signaling J. Pharmacol. Exp. Ther., August 1, 2005; 314(2): 485 - 494. [Abstract] [Full Text] [PDF] |
||||
![]() |
V. Rudajev, J. Novotny, L. Hejnova, G. Milligan, and P. Svoboda Dominant Portion of Thyrotropin-Releasing Hormone Receptor Is Excluded from Lipid Domains. Detergent-Resistant and Detergent-Sensitive Pools of TRH Receptor and Gq{alpha}/G11{alpha} Protein J. Biochem., August 1, 2005; 138(2): 111 - 125. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Lagane, S. Ballet, T. Planchenault, K. Balabanian, E. Le Poul, C. Blanpain, Y. Percherancier, I. Staropoli, G. Vassart, M. Oppermann, et al. Mutation of the DRY Motif Reveals Different Structural Requirements for the CC Chemokine Receptor 5-Mediated Signaling and Receptor Endocytosis Mol. Pharmacol., June 1, 2005; 67(6): 1966 - 1976. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. J. Bornheimer, M. R. Maurya, M. G. Farquhar, and S. Subramaniam Computational modeling reveals how interplay between components of a GTPase-cycle module regulates signal transduction PNAS, November 9, 2004; 101(45): 15899 - 15904. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Trivedi, V. A. Narkar, T. Hussain, and M. F. Lokhandwala Dopamine recruits D1A receptors to Na-K-ATPase-rich caveolar plasma membranes in rat renal proximal tubules Am J Physiol Renal Physiol, November 1, 2004; 287(5): F921 - F931. |