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Journal of Pharmacology And Experimental Therapeutics Fast Forward
First published on February 11, 2003; DOI: 10.1124/jpet.102.048637


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Vol. 305, Issue 2, 460-466, May 2003


Direct Interactions between the Heterotrimeric G Protein Subunit Gbeta 5 and the G Protein gamma  Subunit-Like Domain-Containing Regulator of G Protein Signaling 11: Gain of Function of Cyan Fluorescent Protein-Tagged Ggamma 3

Janice Y. Zhou, Peter T. Toth and Richard J. Miller

Department of Molecular Pharmacology and Biological Chemistry, Northwestern University, Chicago, Illinois

    Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

We used fluorescence resonance energy transfer imaging of enhanced cyan fluorescent protein (CFP)-tagged and enhanced yellow fluorescent protein (YFP)-tagged protein pairs to examine the hypothesis that G protein gamma  subunit-like (GGL) domain-containing regulators of G protein signaling (RGS) can directly bind to the Gbeta 5 subunit of heterotrimeric G proteins in vivo. We observed that Gbeta 5 could interact with Ggamma 2 and Ggamma 13, after their expression in human embryonic kidney 293 cells. Interestingly, although untagged Ggamma 3 did not interact with Gbeta 5, CFP-tagged Ggamma 3 strongly interacted with YFP-tagged Gbeta 5 in FRET studies. Moreover, CFP-Ggamma 3 supported Ca2+ channel inhibition when paired with Gbeta 5 or YFP-Gbeta 5, indicating a "gain of function" for CFP-Ggamma 3. Gbeta 5 could also interact with RGS11 and its N-terminal, but not its C-terminal domain. On the other hand, RGS11 did not interact with Gbeta 1. These studies demonstrate that the GGL domain-containing N terminus of RGS 11 can directly interact with Gbeta 5 in vivo and supports the hypothesis that this interaction may contribute to the specificity of Gbeta 5 interactions with cellular effector molecules.

    Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

Activation of G protein-coupled receptors (GPCRs) has been shown to produce inhibition of voltage-dependent Ca2+ channels (VDCCs) (Hille, 1994). This inhibition is important in modulating the strength of synaptic communication (Miller, 1998). N-type and P/Q-type Ca2+ channels are the major VDCCs located in presynaptic nerve terminals that seem to be involved in the regulation of neurotransmission (Dunlap et al., 1995). The major mechanism underlying their inhibition is rapid, voltage-dependent, and mediated by the direct binding of Gbeta gamma subunits to the alpha 1 subunits of Ca2+ channels. However, there are many examples of GPCR activation that do not produce Ca2+ channel inhibition, although Gbeta gamma subunits are released. In many cases, these GPCRs are linked to the Gq/11 family of G proteins. The reasons for this selectivity are not clear (Simen et al., 2001). However, Gbeta 5gamma 2 has been shown to frequently interact with Galpha q (Fletcher et al., 1998). Interestingly, Ggamma subunits may not be the only dimerization partners for Gbeta 5. A subgroup of RGS proteins, including mammalian RGS6, 7, 9, and 11, contain a G protein gamma  subunit-like (GGL) domain that interacts specifically with Gbeta 5 subunits (Sondek and Siderovski, 2001). We have shown that these GGL-containing RGS proteins can block the inhibitory effect of Gbeta 5gamma 2 on N-type Ca2+ channels, providing a possible explanation for the specificity of VDCC modulation by G protein beta gamma subunits (Zhou et al., 2000). However, the molecular mechanism underlying these effects remains to be elucidated. Do these GGL-containing RGS proteins exert their effects as GTPase-activating proteins (GAPs) of Galpha q subunits, indirectly modulating Gbeta 5gamma 2-mediated signaling; or do they interact directly with Gbeta 5 subunits thereby acting as de facto beta 5/gamma 2 antagonists?

RGS proteins have been shown to participate in channel modulation (Wickman and Clapham, 1995; Chen and Lambert, 2000). For example, it has been demonstrated that RGS proteins accelerate deactivation of G protein-coupled inwardly rectifying potassium channel channels, which are directly gated by Gbeta gamma subunits (Doupnik et al., 1997; Saitoh et al., 1997). Furthermore, both heterologously (Jeong and Ikeda, 1998; Melliti et al., 1999) and intrinsically (Jeong and Ikeda, 2000) expressed RGS proteins reduce the magnitude and modulate the kinetics of Gbeta gamma -mediated N-type Ca2+ channel inhibition. Such effects could be explained by the GAP activity of RGS proteins on Galpha subunits. By accelerating GTP hydrolysis, RGS proteins enhance the formation of inactive GDP-Galpha beta gamma , and thereby attenuate signals transmitted by both Galpha and Gbeta gamma subunits (Berman and Gilman, 1998). On the other hand, biochemical studies have demonstrated that GGL-containing RGS proteins can form stable complexes with Gbeta 5 (Snow et al., 1998, 1999). Additionally, the existence of native Gbeta 5/RGS complexes in the brain and retina has been reported in immunoprecipitation studies (Cabrera et al., 1998; Liang et al., 2000; Witherow et al., 2000; Zhang and Simonds, 2000). Thus, GGL-containing RGS proteins might directly bind to Gbeta 5 and selectively modulate Gbeta 5gamma 2-mediated signaling. Evidence from our former electrophysiological studies was consistent with the direct-binding model, because the blocking effect of RGS proteins was specific for Gbeta 5-containing Gbeta gamma heterodimers. Furthermore, the results from studies of mutated and truncated constructs indicated that the RGS GGL-domain played an important role in the antagonistic effect (Zhou et al., 2000). Overall, the functional and in vitro biochemical studies suggest that competitive binding is the molecular mechanism through which GGL-containing RGS proteins prevent the formation of functional Gbeta 5gamma 2 dimers.

In the present studies, we have used a fluorescence resonance energy transfer (FRET) imaging paradigm to examine whether GFP-tagged G protein subunits and RGS proteins can associate in vivo. Our results complement the findings of biochemical and functional studies, confirming the interaction between Gbeta 5 and its potential cellular partners. This supports our previous hypothesis that these interactions may be involved in the specificity of GPCR inhibition of Ca2+ channels.

    Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

Expression Constructs. To make YFP-tagged Gbeta subunits, the cDNA of Gbeta 5 was cut with BamHI/XbaI, and Gbeta 1 was cut with EcoRI. The enzyme digestion products were inserted in frame into the polylinker of pEYFP-C1 vector (BD Biosciences Clontech, Palo Alto, CA). The cDNA of Ggamma 3 was amplified by polymerase chain reaction with a 5' primer containing an XhoI site and a 3' primer containing an EcoRI site. The enzyme-cut fragment was inserted in-frame into the polylinker of pECFP-C1 vector (BD Biosciences Clontech). The cDNAs of Ggamma 2 and Ggamma 13 were cut with BamHI/XbaI; RGS11Delta D was cut with EcoRI; and RGS11, RGS11n, and RGS11c were cut with EcoRI/XbaI. All were inserted in frame into the polylinker of pECFP-C1 vector. All fusion constructs were YFP- or CFP-tagged at their N termini. Linkers were derived from the polylinker region of pEGFP-C1 and/or pcDNA3.1 and are not expected to affect the protein functions. Linkers ranged from 13 to 25 amino acids, depending on the convenience of enzyme digestion sites (Fig. 1). They were confirmed by restriction enzyme digestion and sequencing as follows: Y-Gbeta 1, TCC GGA CTC AGA TCT CGA GCT CAA GCT TCG AAT TCA CTA GTG ATT GCC GCC ACC; Y-Gbeta 5, TCC GGA CTC AGA TCT CGA GCT CAA GCT TCG AAT TCT GCA GTC GAC GGT ACC GCG GGC CCG GGA TCC GCC GCC ACC; C-Ggamma 2, TCC GGA CTC AGA TCT CGA GCT CAA GCT TCG AAT TCT GCA GTC GAC GGT ACC GCG GGC CCG GGA TCC CCG; C-Gg3, TCC GGA CTC AGA TCT CGA GTG ATC AGA TTC CCC AGG ACT GTC GCT GCC TGT GGC CTC AGG; C-Gg13: TCC GGA CTC AGA TCT CGA GCT CAA GCT TCG AAT TCT GCA GTC GAC GGT ACC GCG GGC CCG GGA TCC GAC GCC; C-RGS11, TCC GGA CTC AGA TCT CGA GCT CAA GCT TCG AAT TCG ACC ATG CCG CAT CTG AGG AAG; C-RGS11c, TCC GGA CTC AGA TCT CGA GCT CAA GCT TCG AAT TCG ACC; C-RGS11n: TCC GGA CTC AGA TCT CGA GCT CAA GCT TCG AAT TCG ACC; and C-GS11Delta D, TCC GGA CTC AGA TCT CGA GCT CAA GCT TCG AAT TCC GAC.


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Fig. 1.   Schematic structures of N-terminal GFP-tagged Gbeta , Ggamma , and different RGS11 constructs. Artificial linkers constructed from the polylinker region of pEGFP-C1 and pcDNA3.1, are drawn in double lines, and ranged from 13 to 25 amino acids. Linker sequences have been detailed under Materials and Methods. Artificial sequences retained from the original constructs and reported in Zhou et al. (2000) are drawn in thick gray lines. All fusion constructs were YFP- or CFP-tagged at their N termini. With the exception of Ggamma 3 linker sequences and/or fluorophore tagging did not modify the protein function (see text and Fig. 2 for further details).

cDNAs for Gbeta 1, Gbeta 5, RGS11n, and RGS11c have been described previously (Zhou et al., 2000). Full-length Ggamma 13, RGS11, and RGS11Delta D constructs were gifts from Dr. D. Siderovski (University of North Carolina, Chapel Hill, NC), and Ggamma 2 and Ggamma 3 cDNA were kindly provided by Dr. A. Katz (California Institute of Technology, Pasadena, CA). The CFP-YFP concatemer containing a nine amino acid linker was a generous gift from Dr. R. Morimoto's laboratory (Northwestern University, Chicago, IL).

Cell Culture and Transient Transfection. The C2D7 cell line, derived from human embryonic kidney 293 cells and stably expressing N-type Ca2+ channel alpha 1B, alpha 2delta , and beta 1-3 subunits (SIBIA Neurosciences, San Diego, CA), was used. Cell culture was maintained as described previously (Zhou et al., 2000). Cells were transfected using polyethylenimine-mediated method as described by Boussif et al. (1995). For electrophysiological recordings, cells were transfected as described previously (Zhou et al., 2000). For FRET experiments, cells were thinly plated on polylysine-coated 25-mm coverslips at 20 to 30% confluence the day before transfection. Different amount of fluorescent constructs were used in transfection, ranging from 1.5 to 4 µg. The purpose was to achieve a similar expression level, judged by intensity of fluorescence, for either YFP-tagged or CFP-tagged constructs across different transfection pairs.

Electrophysiological Recording and Data Analysis. Whole-cell patch-clamp recordings from C2D7 cells were acquired as described previously (Zhou et al., 2000) 40 to 72 h after transfection. Prepulse experiments were carried out using a prepulse protocol consisting of a 50-ms +10-mV depolarization test pulse from -80-mV holding potential with (test pulse 2) or without (test pulses 1) a 50-ms + 80-mV prepulse (Fig. 2A). Facilitation was indicated by calculating the facilitation ratio (P2/P1), which was defined as the peak current of test pulse 2 divided by the current of test pulse 1 at the same time point (Fig. 2A) as described by Simen and Miller (1998). Electrophysiological and FRET data were plotted as mean ± S.E.M. Electrophysiological data were statistical analyzed using StatMost program (StatMost3.5; Dataxiom Software, Inc., Los Angeles, CA). One-way ANOVA followed by nonparametric Kolmogorov-Smirnov test was used for multiple comparisons. Unpaired t test was used for two-group comparisons.


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Fig. 2.   Modulation of N-type Ca2+ channels by GFP-tagged Gbeta , Ggamma , and RGS11 constructs. A, prepulse protocol and calculation of the facilitation ratio. The facilitation ratio (P2/P1) is defined as the peak current of test pulse 2 divided by the current of test pulse 1 at the same time point. B, N-terminal GFP-tagged Gbeta and Ggamma had similar abilities to inhibit N-type Ca2+ channels, compared with untagged proteins when coexpressed, except for CFP-tagged Ggamma 3. Data are plotted as mean ± S.E.M.; *, p < 0.01, one-way ANOVA analysis followed by nonparametric Kolmogorov-Smirnov test (n = 5-7). C, N-terminal CFP-tagged RGS11 constructs had similar abilities compared with their untagged counterparts to antagonize Ca2+ channel inhibition by Gbeta 5gamma 2. Data are plotted as mean ± S.E.M.; *, p < 0.01, unpaired t test between Gbeta 5gamma 2 and Gbeta 5gamma 2/RGS11-constructs (n = 5-15).

FRET Data Acquisition and Analysis. Forty-eight to 72 h after transfection, C2D7 cells were washed with phosphate-buffered saline and fixed with 4% paraformaldehyde at 4°C for 20 min. Then cells were washed three times with PBS and mounted with mounting solution (60% glycerol, 3% n-propyl gallate, 120 mM Tris base, sonicated to dissolve, pH 7.4, and kept in dark at 4°C). Images were captured with a fluorescence microscope (BX50WI; Olympus, Tokyo, Japan), equipped with an intensified 12-bit Penta-MAX charge-coupled device camera (Princeton Instruments, Trenton, NJ) controlled by MetaMorph software (Universal Imaging Corporation, Downingtown, PA) using a 100× numerical aperture 1.3 objective. Filter sets for the fluorescence channels used were as follows: YFP (excitation filter, 500 ± 20 nm; beam splitter, 515 nm long pass; and emission filter, 535 ± 15 nm), CFP (440 ± 20 nm, 455 nm, 485 ± 20 nm), and FRET (440 ± 20 nm, 455 nm, 535 ± 15 nm). No neutral density filter was used (neutral density = 0). Briefly, three consecutive images were collected from the same field, using the filter settings for YFP, FRET, and CFP. After that, a fourth image was also collected using a 340-nm excitation filter to obtain the background image. Occasionally, autofluorescence from cells was clearly visible on the background images, but the pixel values never exceeded twice the values of the background where no cells were found. Emissions from CFP or YFP constructs were not detectable using the 340-nm excitation filter. The background image obtained this way was used in the background subtraction subroutine of the MetaMorph software to obtain the FRET fluorescence image (Ff) from the raw FRET image, the donor fluorescence image (Df) from the CFP image, and the acceptor fluorescence image (Af) from the YFP image. The two-letter symbols were used as defined by Gordon et al. (1998). Shading correction was also applied at the time of background subtraction.

Normalized FRET (FRETN) was calculated by subtracting direct fluorescence contributions from CFP and YFP and normalizing for concentration as described previously (Gordon et al., 1998) using the built-in image manipulation functions of MetaMorph:
<UP>FRETN</UP>=<FR><NU><UP>Ff</UP>−<UP>Df</UP>(<UP>Fd/Dd</UP>)−<UP>Af</UP>(<UP>Fa/Aa</UP>)</NU><DE><UP>Df</UP>×<UP>Af</UP></DE></FR>
The ratio, Fd/Dd, represents the percentage of cyan contribution into the FRET channel when only CFP-tagged constructs were expressed. The ratio, Fa/Aa, represents the percentage of yellow contribution into the FRET channel when only YFP-tagged constructs were expressed. For cyan contribution, CFP-vector or CFP-Ggamma 2 alone was transfected. A value for cyan contribution (Fd/Dd) was calculated from cells of different fields and transfections, and averaged at 83%. Similarly, for yellow contribution (Fa/Aa), it was calculated from transfection of YFP-vector or YFP-Gbeta 5 alone, and averaged at 3.7%. To calculate FRETN, both CFP- and YFP-tagged proteins were coexpressed in cells, and the signal was averaged from each regions of interest (ROIs). The entire individual cells were selected manually as ROIs. For each interaction pairs, two or three independent transfections were performed, and six to 10 fields were selected for each transfection. There were normally three to six ROIs, or cells double-transfected, in each field.

To further limit the effect of heterogeneity of expression levels, different amount of cDNAs were used to achieve a similar expression level across different CFP-tagged constructs, and a similar level for all YFP-tagged constructs. Only cells with similar expression level of YFP-tagged and CFP-tagged constructs across different transfections were selected. For pairs whose FRETN variances strongly correlated with either or both expression levels (R2 > 0.7), linear/multiple regressions were used with StatMost software (Dataxiom Software, Inc.).

    Results
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

GFP-Variants of Gbeta and RGS11 Proteins Preserve Their Ability to Inhibit N-type Ca2+ Channels. To use FRET as an indicator of protein-protein interactions, two variants of GFP, CFP and YFP, were tagged to proteins of interest. Based on the structures of Gbeta and Ggamma subunits (Wall et al., 1995; Sondek et al., 1996) and molecular modeling of GGL-containing RGS proteins (Snow et al., 1998), fluorescent tags were fused in-frame to the amino termini of these proteins (Fig. 1). Sequences around the linker area were confirmed by sequencing. YFP-Gbeta 1 contains an 18 amino acid linker, YFP-Gbeta 5 25 aa, CFP-Ggamma 2 23 aa, CFP-Ggamma 3 20 aa, CFP-Ggamma 13 24 aa, CFP-RGS11 19 aa, and CFP-RGS11c, CFP-RGS11n, and CFP-RGS11Delta D all contain a 13 aa linker. These linkers were derived from the polylinker regions of pEGFP-C1 and pcDNA3.1 vectors and were chosen based on availability of restriction enzyme sites.

To ensure that N-terminal insertion of the 27-kDa GFP did not disrupt the normal functions of these tagged proteins, all tagged constructs were tested as modulators of N-type Ca2+ channels. GFP-tagged and untagged constructs were transfected into N-type Ca2+ channel-expressing C2D7 cells either alone or in combination with other constructs as indicated. Total Ba2+ currents (IBa) were recorded from fluorescent cells in the whole-cell configuration, as described previously (Zhou et al., 2000). Prepulse facilitation (Fig. 2A) has been frequently used to study the characteristics of Gbeta gamma -mediated fast, voltage-dependent Ca2+ channel inhibition. As shown in Fig. 2B, in cells expressing transfected Gbeta gamma subunits, IBa exhibited slower activation kinetics and a reduced current amplitude during test pulse 1 (trace 1). A +80-mV depolarizing prepulse (trace 2) relieved this inhibition and resulted in facilitation during test pulse 2 (trace 2) characterized by an increased current amplitude and accelerated activation kinetics. The P2/P1 ratio was thus defined as the peak current of test pulse 2 divided by the current of test pulse 1 at the same time point (Fig. 2A) and was used as a measure of the magnitude of Gbeta gamma -mediated inhibition of N-type Ca2+ channels.

Figure 2 summarizes our results comparing the effects of GFP-tagged and untagged constructs. As with untagged G protein subunits, YFP-tagged Gbeta 5 (Y-beta 5) or CFP-tagged Ggamma 3 (C-gamma 3) did not produce voltage-dependent inhibition of N-type Ca2+ channels when expressed alone (Fig. 2B). Similar results were obtained for YFP-Gbeta 1, CFP-Ggamma 2, and CFP-Ggamma 13 (data not shown). However, when YFP-tagged Gbeta 5 was coexpressed with CFP-tagged Ggamma 2 or Ggamma 13, significant facilitation was observed, to a similar degree compared with coexpression of untagged Gbeta gamma heterodimers (Fig. 2B). Coexpression of one tagged with one untagged protein for beta 5/gamma 2 or beta 5/gamma 13 pairs produced similar facilitation ratios (data not shown). Interestingly, however, coexpression of YFP-beta 5 and CFP-gamma 3 produced significant facilitation (one-way ANOVA followed by Kolmogorov-Smirnov test, *p < 0.01), with a facilitation ratio of 1.63 ± 0.07 (mean ± S.E.M.), whereas coexpression of untagged Gbeta 5 and Ggamma 3 failed to inhibit Ca2+ channels (Fig. 2B). To further characterize which GFP-tagged protein made the dimer capable of modulating channels, YFP-beta 5 was coexpressed with untagged Ggamma 3, and CFP-gamma 3 was coexpressed with untagged Gbeta 5. Coexpression of CFP-tagged Ggamma 3 with untagged Gbeta 5 produced strong facilitation of 2.09 ± 0.26, whereas YFP-Gbeta 5/Ggamma 3 did not inhibit the channel (data not shown).

GGL-containing RGS11 proteins have been shown to block Gbeta 5gamma 2-mediated inhibition of N-type Ca2+ channels, resulting in decreased facilitation ratios (Zhou et al., 2000). Thus, N-terminal CFP-tagged RGS11 constructs were tested for their ability to modulate the inhibitory effect of Gbeta 5gamma 2. Eight micrograms of different RGS11 constructs was coexpressed with 1 µg of Gbeta 5 and 1 µg of Ggamma 2. As with their untagged counterparts, coexpression of CFP-RGS11, CFP-RGS11n, and CFP-RGS11Delta D with Gbeta 5/HA-Ggamma 2 significantly blocked the inhibitory effect of Gbeta 5gamma 2 on N-type Ca2+ channels (unpaired t test, *p < 0.01), whereas coexpression of CFP-RGS11c did not have such an effect (Fig. 2C).

Interaction of Gbeta and Ggamma Subunits in Cells. We used the FRET technique to study protein-protein interactions between Gbeta and Ggamma subunits. YFP-tagged Gbeta subunits and CFP-tagged Ggamma subunits were cotransfected into cells. Figure 3A demonstrates typical images observed from the YFP, FRET, and CFP channels. All colors are artificially assigned. Signals from the YFP channel are presented as green, signals from CFP channel as blue, and signals from the FRET channel are shown in pseudocolor. Numerical values for each point of each channel represent the intensity of the signal, but do not encode color information. However, the color images in Figs. 3A and 4A do illustrate some important points. The yellow (top) and cyan (bottom) images demonstrate that the cellular distribution of the YFP- and CFP-tagged constructs were fairly similar. Moreover, although the raw data from the FRET channel (middle) does not carry information about the FRET interaction by itself, it does demonstrate the importance of the proper normalization in the FRET methodology. Owing to different expression levels of the constructs within cells and inhomogeneities in the thickness of the cells, the raw FRET intensities vary from cell to cell. However, after normalization, the normalized data from different regions of interest fell into the same range regardless of the original intensities of the raw FRET values.


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Fig. 3.   Interaction between Gbeta and Ggamma subunits in cells detected by FRET. Cells were transfected with indicated constructs. FRET signal acquisition was carried out 48 to 72 h after transfection using a two-cube setup (see Materials and Methods). FRETN was calculated as described; see Materials and Methods and Gordon et al. (1998). A, representative fluorescent signals observed from three channels. All colors are arbitrarily assigned to indicate signal strength. B, summary of FRETN between different protein pairs as indicated. cfp-yfp is a construct that CFP and YFP fluorophores are directly linked (see Materials and Methods). Data are plotted as mean ± S.E.M. (n = 20-40).


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Fig. 4.   Interaction between Gbeta and RGS11 constructs in cells detected by FRET. A, representative fluorescent signals observed from three channels. All colors are arbitrarily assigned to indicate signal strength. B, summary of FRETN between different protein pairs as indicated. Data are plotted as mean ± S.E.M. (n = 20-40).

Because intensity-based FRET analysis is subject to direct fluorescent contributions from both CFP and YFP and may suffer from a high level of "false-positive" detection if this is not properly compensated, appropriate controls are necessary for establishing a correct protocol. A CFP-YFP concatemer was used as a positive control. Because the CFP fluorophore and the YFP fluorophore were joined together with a short linker of 9 aa in the concatemer, efficient energy transfer was expected to occur between the two fluorophores when this construct was expressed in cells. Using the protocol described under Materials and Methods, expression of the CFP-YFP concatemer produced an FRETN signal of (93.5 ± 1.1) ×10-5 (Fig. 3B). On the other hand, because FRET efficiency decreases as the inverse 6th power of distance, coexpression of unlinked YFP and CFP fluorophores should not generate FRET signal unless they are in direct contact. For the transfection pair YFP-Gbeta 5 and the CFP vector, there was no interaction between the two proteins, and they looked diffusely distributed across the cells. Thus, when both were expressed, there was no energy transfer, with an FRETN of (18.6 ± 1.4) × 10-5 (Fig. 3B). Similarly, coexpression of YFP vector and CFP-Ggamma 2 resulted in an FRETN of (18.9 ± 0.9) × 10-5. These two pairs were used as negative controls. Therefore, the control experiments verified that the protocol used accurately detected FRET signals.

Using the same protocol for FRET signal acquisition and analysis, interactions between Gbeta 5 and Ggamma 2, Ggamma 3 and Ggamma 13 were studied. Coexpression of YFP-Gbeta 5 with CFP-Ggamma 2 gave an FRETN value of (61.3 ± 1.2) × 10-5, whereas coexpression of YFP-Gbeta 5 with CFP-Ggamma 3 or CFP-Ggamma 13 had an FRETN of (30.3 ± 2.3) × 10-5 and (52.3 ± 2.6) × 10-5, respectively. Coexpression of YFP-Gbeta 1 and CFP-Ggamma 2 produced an FRETN at (89.6 ± 7.0) × 10-5 (Fig. 3B).

Interaction of Gbeta 5 and RGS11 Constructs in Cells. To test whether GGL-containing RGS11 proteins associate directly with Gbeta 5 in cells and which domain(s) is involved in the association, protein-protein interactions between Gbeta 5 and different RGS11 constructs were studied using FRET. The results are summarized in Fig. 4. Again, the FRETN signal from expressed CFP-YFP concatemer was used as a positive control, and FRETN from coexpression of the YFP vector and CFP-Ggamma 2 was used as a negative control. Coexpression of YFP-Gbeta 5 and the CFP-tagged full-length RGS11 protein (c-R11) generated a strong FRETN signal of (92.6 ± 1.7) × 10-5, similar to the positive control. On the other hand, coexpression of YFP-Gbeta 1 and CFP-RGS11 had an FRETN value of (12.5 ± 1.5) × 10-5, similar to the negative control. RGS11n contains the N-terminal, the DEP domain, the DEP-GGL linker, and the GGL domain of RGS11 (Fig. 1). Coexpression of CFP-tagged RGS11n (c-R11n) and YFP-Gbeta 5 gave an FRETN of (63.3 ± 3.2) × 10-5. RGS11c contains the GGL-RGS linker, the RGS domain, and the C-terminal of RGS11 (Fig. 1). FRETN for coexpression of CFP-R11c and YFP-Gbeta 5 was (26.8 ± 1.3) × 10-5. RGS11Delta D contains the GGL domain, the GGL-RGS linker, the RGS domain, and a truncated C-terminal. Coexpression of CFP-R11 Delta D and YFP-Gbeta 5 had an FRETN of (70.0 ± 1.1) × 10-5 (Fig. 4B).

    Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References

Activation of Gq-coupled GPCRs often fails to produce fast, voltage-dependent, Gbeta /gamma -mediated inhibition of Ca2+ channels (Simen et al., 2001). We have previously shown that Galpha q-selective Gbeta 5 subunits can produce Ca2+ channel inhibition when paired with Ggamma 2. However, the inhibitory effect of Gbeta 5gamma 2 can be specifically blocked by GGL domain-containing RGS proteins (Zhou et al., 2000). RGS proteins have been shown to be involved in channel modulation either as GAPs or as effector antagonists (Berman and Gilman, 1998). Our previous study suggested that GGL-containing RGS proteins might also selectively attenuate signaling mediated by Gbeta 5-containing Gbeta gamma heterodimers through direct interaction between the GGL-domain and Gbeta 5. We have now tried to confirm this hypothesis by studying protein-protein interactions between Gbeta 5 and GGL-containing RGS11 proteins in cells.

Interactions between Gbeta and Ggamma or RGS proteins have been studied using biochemical methods. The affinity of Gbeta 5gamma 2 association is relatively weak and sensitive to isolation conditions (Snow et al., 1999). On the other hand, GGL-containing RGS proteins interact strongly with Gbeta 5 in in vitro binding studies, and endogenous complexes of Gbeta 5/RGS have been identified from the brain and retina in immunoprecipitation studies. We addressed this question further by studying protein-protein interactions in cells using FRET techniques. The efficiency of FRET is inversely related to the 6th power of the distance between the two fluorophores. For the CFP/YFP pair we used the critical distance (R0) is about 50 Å. Therefore, any significant FRET signal should indicate direct interactions between the tagged proteins.

Although the underlying mechanism that generates FRET may be relatively straightforward, the actual data analysis is complicated. Several methods have been developed (Wouters et al., 2001). Our present study used an intensity-based method termed "sensitized emission". Sensitized emission is defined as the increased acceptor emission due to energy transfer from the donor to the acceptor. Intensity-based methods for FRET data analysis suffer from a high level of false-positives when not properly corrected for direct fluorescence contributions from both donor and acceptor. We adopted the formula of Gordon et al. (1998) to correct for direct fluorescence contributions and concentration effects. There are several different versions of this formula (Gordon et al., 1998; Xia and Liu, 2001). However, based on our observations, the concentration effect was not completely corrected using either of the formulae. The calculated FRETN exhibited a large variation due to heterogeneity of the expression levels of donor and acceptor proteins. In the present studies, several measures were adopted to control for this effect. First, the amount of cDNA used in transfections was adjusted to obtain similar expression levels for YFP-tagged and CFP-tagged constructs, respectively, judged from their fluorescence intensity. Second, only cells with similar expression levels of YFP-tagged and CFP-tagged proteins were selected for data analysis. Finally, data were corrected for differences in expression levels using statistical methods. To check the sensitivity and selectivity of the protocol we used for FRET detection, controls were always run in parallel with our experimental samples. As expected, the positive control, a CFP-YFP concatemer, produced an FRETN value significantly larger than that produced by the negative controls. Thus, the protocol was used in our study of protein-protein interaction.

For the FRET analysis to be meaningful, the fusion proteins must be correctly assembled and functional. All YFP/CFP-tagged Gbeta , Ggamma , and RGS11 constructs produced similar effects compared with their untagged counterparts in modulating N-type Ca2+ channels, with only one exception. Interestingly, N-terminal CFP-tagged Ggamma 3 "gained" the ability to form functional dimers with Gbeta 5 and to inhibit N-type Ca2+ channels; untagged Gbeta 5/gamma 3 was not effective in this functional test. This gain of function was due to the CFP-Ggamma 3, rather than YFP-Gbeta 5. Coexpression of untagged Gbeta 5 with CFP-Ggamma 3 inhibited channels, whereas coexpression of YFP-Gbeta 5 with untagged Ggamma 3 did not (data not shown). Because the lack of effect of untagged Gbeta 5/gamma 3 is presumably due to the inability of these two subunits to form heterodimers (Watson et al., 1994), an N-terminal CFP tag on Ggamma 3 may help to stabilize the interaction with Gbeta 5. The N-terminal coiled-coil structure between Gbeta and Ggamma subunits is important for their interaction, and the "unusual" Gbeta 5 subunit differs from other Gbeta subunits mainly at the N-terminal portion (Clapham and Neer, 1997). Therefore, an N-terminal CFP tag on Ggamma 3 subunit may somehow stabilize the N-terminal structure of Gbeta 5 and Ggamma 3 and help to form a functional heterodimer. Alternatively, tagging Ggamma 3 might greatly increase its level of expression, resulting in the observed interaction, although we have no evidence that this is the case. Furthermore, epifluorescent and confocal microscopy showed similar subcellular distributions of GFP-tagged constructs in transfected cells (data not shown) compared with that reported for endogenous proteins (Zhang et al., 2001), indicating that the N-terminal GFP-tag did not disrupt normal cellular distributions of the proteins.

Results from the FRET studies complement those of biochemical and functional studies. The FRETN data for YFP-Gbeta 5/CFP-Ggamma 2 and YFP-Gbeta 5/CFP-Ggamma 13 had intermediate values, suggesting that Gbeta 5 forms heterodimers with Ggamma 2 and Ggamma 13. This was in agreement with the results of electrophysiological studies (Blake et al., 2001). Electrophysiological studies also indicated that Gbeta 5gamma 3 did not form functional dimers that inhibited N-type channels, whereas, as we show here, Gbeta 5/CFP-Ggamma 3 did. Thus, as discussed above, the N-terminal CFP tag on Ggamma 3 may stabilize its interaction with Gbeta 5. Coexpression of YFP-Gbeta 5 and CFP-RGS11 generated a large FRETN value, suggesting that Gbeta 5 and RGS11 did form stable heterodimers in cells. On the other hand, YFP-Gbeta 1 did not form heterodimers with CFP-RGS11 and had an FRETN value similar to negative controls. These findings further support the results from biochemical binding studies (Snow et al., 1998) and immunoprecipitation studies (Witherow et al., 2000; Zhang and Simonds, 2000) and are in support of the notion that interaction between Gbeta 5 and GGL-containing RGS proteins underlies the blocking effect of RGS11 on Gbeta 5gamma 2 mediated N-type channel inhibition. Furthermore, the interaction between Gbeta 5 and GGL-containing RGS proteins, indicated by FRETN values, depends on the GGL domain. CFP-RGS11n and CFP-RGS11Delta D, both containing the GGL domain, interacted with YFP-Gbeta 5, whereas CFP-RGS11c had much weaker interaction with YFP-Gbeta 5. The pattern of interactions between Gbeta 5 and RGS11 constructs (Fig. 4B) coincides with the pattern of blocking effect of different RGS11 constructs on Gbeta 5gamma 2-mediated N-type channel inhibition (Fig. 2C). A reasonable explanation would be that interaction between Gbeta 5 and GGL-containing RGS proteins underlies the blocking effect.

FRET techniques provide a way of studying protein-protein interaction in vivo and are potentially useful for quantifying the interaction and dynamics of protein interaction. However, great care must be taken to interpret the energy transfer data. Because FRET is sensitive to the distance between the two fluorophores and the dipole orientation, such effects may be so significant that different energy transfer readings could be due to either conformational changes or binding-unbinding, which cannot be distinguished from the FRET data. Furthermore, an apparent energy transfer efficiency for sensitized emission is equal to the true energy transfer efficiency multiplied by the fraction of tagged acceptor molecules in a complex and the ratio of donor and acceptor brightness (Wouters et al., 2001). The FRETN values for YFP-Gbeta 1/CFP-Ggamma 2 and YFP-Gbeta 5/CFP-RGS11 were quite high, similar to the positive control of CFP-YFP concatemer. This is intriguing when one considers that all (100%) donor and acceptor pairs coexist in the CFP-YFP concatemers, whereas presumably only a fraction of donor/acceptor pairs would exist in complex resulting from Gbeta /gamma or Gbeta /RGS transfections. However, although the fraction in a complex may be lower for Gbeta /gamma or Gbeta /RGS transfections, their true FRET efficiency could be higher. Indeed, that is what might be expected. True FRET efficiency is determined by the strength of protein-protein interaction and falls off with the inverse 6th power of distance. The CFP and YFP fluorophores are simply linked together by a linker of nine amino acids in the concatemer; there is no active binding activity between the two molecules. On the other hand, biochemical studies have shown that there is active interaction in the complex of Gbeta 1/gamma 2 and Gbeta 5/RGS11, possibly resulting in a higher FRET efficiency. However, the relative contributions of energy transfer efficiency and the fraction ratio could not be distinguished from the observed FRET signals. At each point in an image, a mixture of states, both bound and unbound, coexists. To quantify the true FRET efficiency, the relative amounts of bound and unbound acceptor must be known at each point. This requires precise knowledge of all of the biochemical parameters governing the interaction between the two proteins under consideration, so that correct models can be used. Therefore, both biochemical studies and FRET studies offer important complementary information.

In summary, we show here that GGL-containing RGS proteins can interact directly with Gbeta 5 in cells. The pattern of interactions between Gbeta 5 and RGS11 constructs, indicated by FRET values, coincides with the pattern of blocking effects of different RGS11 constructs on Gbeta 5gamma 2-mediated N-type channel inhibition in electrophysiological studies. Therefore, we suggest that GGL-containing RGS proteins can act as Gbeta 5 effector antagonists and specifically attenuate Gbeta 5gamma -mediated signaling, including inhibition of N-type Ca2+ channels.

    Acknowledgments

We thank Dr. V. Bindokas (University of Chicago) for insightful suggestions and comments. We are grateful to Dr. D. Siderovski (University of North Carolina) for kindly providing cDNA for Ggamma 13 and RGS11 proteins, to Dr. A. Katz (Caltech) for Ggamma subunits cDNA, to Dr. R. Morimoto and Soojin Kim (Northwestern University) for the CFP-YFP concatemer.

    Footnotes

Accepted for publication February 6, 2003.

Received for publication January 1, 2003.

This study was supported by U.S. Public Health Service Grant MH-40165. Preliminary results were presented in abstract format at the 2001 Neuroscience Meeting (Abstract 271.7).

DOI: 10.1124/jpet.102.048637

Address correspondence to: Dr. Richard J. Miller, Department of Molecular Pharmacology and Biological Chemistry, Northwestern University, 303 E. Chicago Ave., Chicago, IL 60611. E-mail: r-miller10{at}northwestern.edu

    Abbreviations

GPCR, G protein-coupled receptor; VDCC, voltage-dependent Ca2+ channel; RGS, regulator of G protein signaling; GGL, G protein gamma  subunit-like; GTPase-activating protein, FRET, fluorescence resonance energy transfer; YFP, yellow fluorescent protein; CFP, cyan fluorescent protein; ANOVA, analysis of variance; FRETN, normalized fluorescence resonance energy transfer; ROI, region of interest; aa, amino acid.

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Abstract
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Materials and Methods
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