|Home | About | Journals | Submit | Contact Us | Français|
Heterotrimeric guanine nucleotide-binding proteins (G proteins) composed of three subunits α, β, γ mediate activation of multiple intracellular signaling cascades initiated by G protein-coupled receptors (GPCRs). Previously our laboratory identified small molecules that bind to Gβγ and interfere with or enhance binding of select effectors with Gβγ. To understand the molecular mechanisms of selectivity and assess binding of compounds to Gβγ, we used biophysical and biochemical approaches to directly monitor small molecule binding to Gβγ. Surface plasmon resonance (SPR) analysis indicated that multiple compounds bound directly to Gβγ with affinities in the high nanomolar to low micromolar range but with surprisingly slow on and off rate kinetics. While the koff was slow for most of the compounds in physiological buffers, they could be removed from Gβγ with mild chaotropic salts or mildly dissociating collision energy in a mass-spectrometer indicating that compound-Gβγ interactions were non-covalent. Finally, at concentrations used to observe maximal biological effects the stoichiometry of binding was 1:1. The results from this study show that small molecule modulation of Gβγ-effector interactions is by specific direct non-covalent and reversible binding of small molecules to Gβγ. This is highly relevant to development of Gβγ targeting as a therapeutic approach since reversible, direct binding is a prerequisite for drug development and important for specificity.
A cell’s ability to detect and accurately respond to its microenvironment is of paramount importance in maintaining basic biological processes such as tissue homeostasis, development and immunity. To do so, cells employ many different cellular response mechanisms to relay external sensory stimuli to internal effectors. A major such pathway, involves guanine nucleotide-binding proteins (G proteins)1 that are involved in second-messenger cascades triggered by G-protein-coupled receptors (GPCR’s). Typically, G protein signaling pathways are composed of a G protein-coupled seven transmembrane receptor/s (GPCR), heterotrimeric G proteins, and intracellular effectors . Heterotrimeric G-proteins are composed of Gα subunit and Gβγ subunits. Gβγ subunits interact with many different effector proteins to regulate cellular physiology. These include adenylate cyclase (AC), G protein coupled receptor kinase 2 (GRK2) , phospholipase Cβ1, β2 and β3 isoforms [4,29,39], inward rectifying potassium channels (GIRK) [24,27], phosphoinositide 3 kinase γ (PI3Kγ) [41,42], and PI3Kβ  isoforms, and N-type calcium channels .
Various studies suggest that pharmacological targeting of Gβγ could be of therapeutic value. Blocking Gβγ signaling with a c-terminal Gβγ-binding fragment of G protein-coupled receptor kinase-2 (GRK2ct) inhibits development of heart failure in various animal models [20,32]. Gβγ-dependent regulation of PI3Kγ plays a central role in leukocyte migration in response to chemoattractants [14,23] suggesting that blocking this interaction could be used to inhibit neutrophil dependent inflammation. Roles for Gβγ-dependent signaling in μ-opioid potency , drug addiction , cancer metastasis and prostate cancer  have all been suggested. While Gβγ subunits are ubiquitous, their participation in activation particular downstream signaling processes is more restricted . For example, while Gβγ-dependent regulation of PLCβ is prevalent in immune cells and some other cell types, Gαq-dependent PLCβ is the dominant G protein dependent PLC pathway in most cell types. Thus pharmacological specificity could come from inhibiting particular Gβγ-target couplings thereby restricting the pharmacological effects to specific tissues and pathways.
To identify small molecule compounds that could bind to Gβγ and inhibit interactions with downstream effectors we screened the NCI diversity set library using a peptide competition approach . Subsequently we and others [16,19,46] have shown that small molecules identified in this screen selectively modulate Gβγ-effector interactions in vitro and in cells. Additionally one class of molecules, M119/gallein, is efficacious in various in vivo models including, mouse models of opioid-dependent antinociception [2,25], inflammation , and cardiac hypertrophy .
Here we describe characterization of Gβγ-small molecule interactions using direct biophysical methods to determine the binding mechanisms for various compound classes. Prior to this study our understanding of small molecule-Gβγ interactions primarily arose from determinations of IC50 values using indirect phage-displayed peptide competition ELISA assays . We were interested in identifying molecules that directly bound to Gβγ non-covalently by a single site 1:1 binding mechanism. This is critical for development of these molecules as a pharmacological tool because reactive molecules tend to be non-specific and single site binding implies a specific binding mode relevant to the compound’s mechanism of action. Several non-specific mechanisms for inhibition of proteins by small molecules are possible. One is covalent protein modification through reactions of compounds with nucleophiles such as SH or NH moieties in the protein. Another possibility is promiscuous-aggregation based binding of small molecule aggregates to protein surfaces leading to a general non-specific inhibition of protein function . In the course of this work we found two mechanisms for inhibition by two general groups of compounds; 1) reversible covalent reactions with cysteine residues in the protein interaction surface ( and Dessal and Smrcka unpublished data), and in the work described here, 2) reversible non-covalent binding of compounds to Gβγ. Understanding these mechanisms is critical to determining whether use of these compounds can be leads for a viable therapeutic strategy.
Compounds for this study were obtained from the National Cancer Institute repository except when indicated otherwise. Compound abbreviations are as follows: M119 (NSC119910) 2-(3,4,5-trihydroxy-6-oxoxanthen-9-yl)cyclohexane-1-carboxylic acid, M119B (NSC119892) 2-(3-hydroxy-6-oxoxanthen-9-yl)cyclohexane-1-carboxylic acid, 372 (NSC115372) 1-amino-4-(3-aminoanilino)-9,10-dioxoanthracene-2-sulfonic acid, and M201 (NSC201400) 7-amino-1,2,3,10-tetramethoxy-6,7-dihydro-5H-benzo[a]heptalen-9-one. Gallein, 3′, 4′, 5′, 6′-tetrahydroxyspiro[2-benzofuran-3, 9′-xanthene]-1-one was purchased from Acros Organics, Geel, Belgium or TCI America, Portland Oregon. All compounds were prepared as 50mM stocks in DMSO with care taken to subject them to minimum freeze thaw cycles.
Biotinylated Gβ1γ2 subunits were expressed in 1L of Hi5 cells (at a density of 1.5×106cells/mL) triply infected with 2nd pass amplified baculoviruses encoding 6his-αi (4mL), Gγ2 (10mL) and N-terminally biotin acceptor tagged-Gβ1 (10mL) and biotin-protein ligase, BirA, in a bicistronic baculovirus expression vector. Proteins were purified as described by Gilman and colleagues  and modified by . Gβγ protein produced by this method was confirmed to be biotinylated at the N terminus of the Gβ subunit by Western blotting with neutravidin linked HRP and pulldown by streptavidin agarose.
Direct binding of small molecules was assessed using a Reichert SR7000 Surface Plasmon Resonance dual channel instrument equipped with a separate auto sampler and syringe pump (Reichert, Depew, NY). The basis for surface preparation was adapted from Wu et, al  and Rebois et al  with minor modifications. Sensor chips with mixed self assembled monolayers composed of 90% monothiol alkane PEG3K-OH and 10% monothiol alkane PEG6K-COOH (part number 13206061, Reichert, Depew, NY) were mounted on the instrument using immersion oil. The flow cell block was then mounted, effectively separating the sensor chip into two identical flow cells after which running buffer (degassed double distilled water) was allowed to flow over both flow cells using the syringe pump. The two flow cells were connected in series by a short length of tubing and the surface was primed by injecting an alkaline salt solution (2M NaCl and 10mM NaOH). Free carboxyl groups on the surface were modified by injecting a mixture of 0.1 M 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride and 0.05 M N-hydroxysuccinimide at a flow rate of 5 μl/min to generate a reactive succinimide ester surface. Neutravidin (100 mg/ml; prepared in 20 mM sodium acetate buffer, pH 5.5) was coupled to the sensor via free amine coupling to the immobilized succinimide, followed by quenching the remaining activated succinimide esters with 1 M ethanolamine, pH 8.5. One flow cell was then uncoupled from the buffer flow (henceforth called the reference cell) and the running buffer was changed to Gβγ binding buffer (50mM HEPES, pH 7.6, 1 mM EDTA, 100 mM NaCl, 0.1% C12E10, and 1 mM dithiothreitol). Biotinylated Gβ1γ2 (bGβ1γ2) was bound to the flow cell (henceforth called the Gβγ cell) to achieve between 2000 – 10000 micro-refractive index units (determined by experiment). After washing away free Gβγ the reference cell was reconnected to the main buffer flow. Surface preparation is completed by injection of 1mM free biotin to block all unbound neutravidin binding sites on both the Gβγ and reference cells.
Direct binding of ligands (small molecules/peptides) was done at 25°C. In the case of small molecules, the running buffer was replaced by Gβγ binding buffer + 1.2% Dimethyl Sulfoxide (DMSO). The Gβγ binding buffer contained DTT to inhibit redox reactions of compounds with free cysteines on Gβγ and 0.1% C12E10 to disrupt small molecule aggregates . Thus any interactions observed are not likely dependent on redox chemistry or nonspecific promiscuous aggregate binding. Temperature compensation and buffer calibration was done prior to any/all data collection using SPR direct access software. A series of dilutions of compounds were prepared in binding buffer and injected for 7 min followed by a dissociation phase of 10 min at a flow rate of 50 μL/min. To reference for drift, two blank injections were performed between compound injections and used to apply corrections. The sensorgrams were corrected for nonspecific background by running the same experiment in series over the identical reference cell. Actual subtractions (for drift and non-specific background binding) were done using Reichert SPR v4.5 software (Reichert, Depew, NY). Bulk shift effects and refractive index changes due to differences in DMSO concentration between running buffer and solvent concentrations were corrected using Scrubber 2.0 (Biologic) software. Best fit kinetic parameters were determined using either a kinetic titration model, which accounts for incomplete dissociation between injections  or the standard surface regeneration model . Data analysis was carried out using either Scrubber 2.0 (Biologic) or ClampXP version 3.5 and plotted using Graphpad 5.
To assess the reversibility and stoichiometry of compound binding to Gβγ 5μM Gβ1γ2C68S protein in 20mM Ammonium Acetate pH 7.0 buffer, was mixed with 100μM gallein and incubated for 30 minutes at room temperature. Gβγ or Gβγ-gallein complexes were separately and directly analyzed using a Waters “Synapt” nano ESI QToF Mass Spectrometer specifically designed for analysis of intact non-covalent protein complexes .
Commercially available gallein (Acros Organics, Geel, Belgium) at 99% purity, was labeled with [3H] by tritium exchange (American Radiolabeled Chemicals, USA). The resulting radiolabeled product was purified and analyzed by C18 HPLC chromatography with absorbance detection, relative to a purified gallein standard to determine purity and specific activity. The final radiolabeled product was 99% pure with a specific activity of 12 Ci/mmol. Gβ1γ2 was mixed with [3H]-gallein diluted with unlabeled gallein at various specific activities to give final concentrations of 1μM Gβγ and the indicated concentrations of gallein in a total reaction volume of 60μL and incubated for 1 hour at room temperature in Gβγ binding buffer. The Gβγ-[3H]-gallein complex was separated from unbound [3H]-gallein using a Zeba™ microspin desalting columns (Thermo scientific) and measured by liquid scintillation counting. To calculate binding stoichiometry Gβγ concentrations were corrected for loss of Gβγ in the column that ranged from 25 to 50%.
A variety of biophysical techniques are possible for direct measurement of small molecule ligand, protein interactions. We chose a surface plasmon resonance (SPR) based method for monitoring direct small molecule binding to Gβγ. A major advantage of SPR over isothermal titration calorimetry, for example, is that only small amounts of unlabeled protein are required  and it provides kinetic data (kon and koff values) for protein-ligand interactions . A potential difficulty is that the method is ideally suited for monitoring large protein binding interactions because the sensitivity of the method is directly proportional to the mass of the binding ligand. However various investigators have successfully employed SPR to measure small molecule binding to proteins by increasing the surface density of the bound target [18,28].
Gβ1γ2 subunits with site specific biotin modification at the amino terminus of the Gβ subunit were prepared using in vivo biotinylation of a biotin acceptor tag fused to the N-terminus of Gβ1(bGβ1) and coexpression of biotin-ligase in insect cells. Neutravidin was directly coupled to the SPR chip via primary amine coupling followed by binding of bGβ1γ2 as described in methods. We standardized the Neutravidin surface density to 4000–5000μRIU which could yield a maximum of 12000μRIU Gβγ subunit immobilization (or less when appropriate). High immobilization densities are required for detection of binding of low molecular weight ligands. To determine if the Gβγ hot spot was accessible for small molecule binding we tested a hot spot-binding peptide, SIGK, for binding to immobilized Gβ1γ2 (Figure 1, A and B). The peptide bound to Gβγ with an affinity of 3.9±0.5μM in close agreement with IC50 values obtained from competition ELISA experiments . Control peptide SIGK(L9A) which was non-binding in the ELISA experiments  did not elicit a response associated with binding to Gβγ in the SPR assay (data not shown).
Initial experiments with small molecule binding to Gβγ were carried out with M119 (Figure 2), owing to the abundance of in vitro and in vivo data demonstrating that M119 and the related compound gallein inhibit Gβγ-dependent signaling processes [2,5,22]. Figure 2A and B show representative association phases for two concentrations of M119, fit to a one phase exponential association equation. Data between 300 nM and 10 μM fit well with this equation but fit results for data from 30 and 100μM concentrations of M119 were poor. Since 10 μM M119 is saturating for most of its biological effects, all SPR experiments were performed at less than or equal to 10 μM. Surprisingly, M119 bound very slowly, atypical of most common small molecule protein interactions where binding is often diffusion limited [28,40]. As a first approximation the data was analyzed using an equilibrium binding analysis . Since the binding did not reach saturation during each binding interaction due to the slow on rate, Rmax(obs) values were estimated from the one phase exponential association equation for each concentration. Rmax(obs) values were plotted as a function of concentration and fit using linear least squares fitting to a 1:1 Langmuir isotherm (Figure 2C, Table 1). The Ka obtained from this single data set was equal to 2.16×106 M−1 giving a Kd of 460 nM.
To analyze the data more rigorously, kinetic data was collected for both association and dissociation phases at various concentrations of M119 (Figure 2D). Surprisingly, dissociation of M119 was also quite slow (Figure 2D) and did not allow return to baseline between each injection. To account for incomplete dissociation between injections we used a kinetic titration approach as described by Myszka and colleagues  to obtain binding data. Global fitting of the single data set in figure 2D to the parameters in the kinetic titration model yielded a Kd of 120 nM (Table 1) similar to the Kd estimated from equilibrium analysis in Figure 2C. The average Kd for M119 binding to Gβγ from multiple kinetic titration experiments is 276±70 nM and is shown in Table 2. The binding rates and constants obtained from kinetic titration analysis were independent of flow rate over a wide range (25 – 100μL/min) indicating a lack of mass transfer effects.
Overall these data demonstrate that M119 binds directly and reversibly to Gβγ, but surprisingly the kon and koff were quite slow. The apparent Kd is submicromolar and the data are best fit with a 1:1 binding model. Since the experiments are done in the presence of DTT, EDTA and 0.1% non-ionic detergent, it suggests that M119 is not utilizing a redox-based, metal ion- dependent, or promiscuous-aggregation based mechanism for binding to Gβγ.
Well over 20 structurally distinct Gβγ modulating small molecules were identified in our initial screen. Some of these compounds have since been shown to act by a redox based mechanism. Here we selected 3 representative compounds with distinct structural moieties and biological functions, that did not bind to Gβγ using redox chemistry . These were gallein, M201 (NSC201400) and 372 (NSC115372) (Fig 3A). Biological activities have been previously reported for gallein and M201 .
Kinetic titration experiments and analysis was carried out for each individual compound over separate Gβγ immobilized surfaces. Non-specific/multiple binding sites were observed above 30 μM gallein and 20 μM 372. Since 10 μM gallein was a maximally effective concentration in biological assays; all SPR assays were carried out to a maximum of 10 μM for gallein and 15 μM for 372. All 3 compounds bound to immobilized Gβγ with slow association and dissociation kinetics consistent with those observed for M119 (Fig 3, B, C and D; Table 2). The koff for both gallein and 372 were 10 fold slower than that of M201 resulting in incomplete dissociation of both these compounds in the time course of this experiment compared with M201 which showed full dissociation to baseline levels. To examine the on and off rates for gallein in more detail we conducted an extended binding and dissociation time course for one concentration of gallein (supplemental figure 1). These results are consistent with slow association of gallein with Gβγ followed by a slow, but fully reversible dissociation of gallein from Gβγ. These data indicate that all of these compounds bind directly to Gβγ but that the binding and dissociation kinetics are surprisingly slow for multiple compounds.
Since gallein, M119 and 372 dissociation from Gβγ was slowly reversible, we tested if these molecules bound by a covalent mechanism. As one approach, we searched for ionic solution conditions that would rapidly and completely strip these compounds from the Gβγ surface. We tested multiple different solution conditions and identified a cocktail of low concentration chaotropic agents (610 mM MgCl2, 205 mM Urea and 610 mM Guanidine-HCl) that completely (>85%) and rapidly removed all 3 classes of Gβγ hot spot-binding small molecules from Gβγ and allowed for complete rebinding of all of the molecules. Figure 4A shows an example experiment demonstrating gallein binding, restoration of the baseline during regeneration, and rebinding gallein after regeneration.
To demonstrate that the stripping treatment completely reversed binding of the small molecules yet left Gβγ intact, we used the chaotropic cocktail described above in a SPR regeneration protocol to determine binding constants for gallein and 372 . Surface regeneration was carried out between each association, dissociation cycle by giving 3, 30s pulses of regeneration cocktail. Representative data is shown for gallein and fits are given in Figure 4B. Kinetic and equilibrium constants determined by this approach (Table 3) were very similar to those determined in experiments in figures 3B and 3D and reported in Table 2 that did not involve regeneration. This provides strong support for the accuracy of the kinetic and equilibrium binding data in Tables 1 and 2 and indicates that regeneration to remove compound does not damage the Gβγ subunit complex. Compounds covalently associated with Gβγ would be unlikely to be removed by this relatively mild treatment, indicating that binding of these compounds to Gβγ does not involve covalent modification of Gβγ subunits.
As an alternate approach to assessing binding stoichiometry and reversibility we used a low energy electrospray TOF mass spectrometry approach that measures non-covalently associated protein complexes  to analyze Gβ1His6γ2C68S small molecule complexes. The electrospray ionization conditions for introducing the protein complex into the gas phase for MS are sufficiently mild that non-covalent complexes are observable.
Gβγ-gallein complexes were formed by addition of 100 μM gallein to 5 μM Gβ1His6γ2C68S. The Gγ2C68S mutation prevents lipid modification at Gγ2C68 obviating the requirement for detergent in the analysis of Gβγ. Figure 5A shows a representative +12 ion of Gβ1His6γ2C68S subunits while Figure 5B shows Gβ1γ2(C68S) with bound gallein. In both cases the major peak at 3837.8 (46044 Da) corresponds to the Gβ1His6γ2C68S heterodimer with Gβ1 N-terminally processed and acetylated, and unprocessed His6γ2C68S. Peak heterogeneity is due primarily to the presence of various incomplete N-terminal processed forms of Gγ (N terminus cleaved unacetylated and uncleaved unacetylated) and NH3+ adducts.
Figure 5B shows a single peak at 3837.87 for Gβγ without bound gallein, one major peak corresponding to exactly 1 molecule of bound gallein (peak 3868.29) and two minor peaks with exactly 2 (peak 3898.42) and 3 (peak 3930.79) Gβγ bound gallein molecules. Since Gβγ-gallein interactions are non-covalent, even though the Gβγ-complex was formed at saturating gallein concentration, much of the bound gallein is likely dissociated during the initial electrospray ionization. Nevertheless, the relative abundance of the remaining peaks likely represents the relative stability of those complexes in the gas phase. The peak corresponding to 1 molecule of bound gallein is the predominant gallein bound form. No species representing a Gβγ-bound aggregate of gallein was observable. Thus if any aggregate binding does occur in solution it is likely relatively weak and unobservable by this method. The minor peaks corresponding to 2 and 3 molecules of bound gallein likely represent less energetically favorable Gβγ-gallein complexes and thus are less predominant in the spectrum. Since these complexes were formed at 100 μM gallein (100 times the Kd for gallein-Gβγ interactions), the presence of weaker binders is not unexpected. This data indicates that stoichiometries as high as 3:1 gallein: βγ are possible at high concentration (ie > 30 μM gallein) but the most energetically stable form is the 1:1 complex that is likely to be found at concentrations 10 μM or less which is the biologically relevant concentration of gallein.
To provide additional evidence that gallein binding is reversible, we increased the collision cell voltage to disrupt non-covalent interactions but leave covalent interactions intact. In Figure 6A is the spectrum at low collision energy showing three multiply charged Gβγ-gallein ions (+13, +12 and +11) with peaks corresponding to bound gallein. At higher collision energy (Figure 6B) the peaks corresponding to different Gβγ-bound species of gallein are absent while peaks corresponding to +11, +12 and +13 Gβγ ions remained. Additional peaks corresponding to free β subunits were also observed (4144.39, 3730.16). Thus at collision energies that maintain some non-covalent Gβ-Gγ interactions, gallein binding is fully reversed. These data are in stark contrast with what we reported for covalent modifiers of Gβγ subunits where incubation with compound completely depletes the free Gβγ pool and only species corresponding to covalently modified β subunits are observed at higher collision energies . These data strongly support the notion that the most energetically favorable binding of gallein to Gβγ is in a 1:1 stoichiometry, and that the binding is non-covalent and fully reversible.
As another approach to assess gallein:Gβγ binding stoichiometry we carried out a simple binding experiment using 3H labeled gallein as a tracer and a spin-through size exclusion column to separate bound from free gallein. In the absence of Gβγ there is a small leak of gallein in the Gβγ fraction (Fig 7A column 1). In the presence of Gβγ the binding in this fraction is significantly increased in a manner that is eliminated by inclusion of excess of unlabeled “cold” gallein (Fig. 7A columns 2 and 3). Thus, this assay detects [3H]-gallein specifically bound to Gβγ. Several gallein concentrations were tested by this method and molar binding stoichiometries were calculated. The amount of binding increased with increasing concentrations to a maximum of 1.6 moles of gallein to 1 mole of Gβγ. This 1.6:1 stoichiometry only occurred at concentrations of 100 μM gallein or greater and at 30 μM or less the binding stoichiometry was 1:1 or less. As stated earlier, gallein is saturating in most biological assays at 10 μM so the relevant binding stoichiometry that achieves complete inhibition of Gβγ functions is close to 1:1.
We previously identified multiple small molecules that bind to G protein βγ subunits and inhibit Gβγ subunit functions. One class of these molecules in particular, gallein/M119, has been extensively tested by us and others in various in vitro and in vivo experiments that suggest specificity and efficacy of these molecules [1,2,5,10,19,22,25]. Despite this extensive data, detailed analysis of the biophysical mechanism for action of these compounds has not been reported. This is important because there are potential artifactual and non-specific mechanisms for small molecule inhibition of protein function and for this to be considered as a viable approach to therapeutics, non-specific reactivity or binding mechanisms have to be avoided. These non-specific mechanisms include reversible and irreversible covalent modification of the protein target by the small molecule, small molecule aggregation resulting in non-specific coating and inhibition of the protein target, redox modification of the protein as well as others. In fact we have reported that some small molecules reversibly modify Gβγ by formation of disulfides or mixed disulfides with a specific cysteine residue in the Gβγ hot spot . Our previous data indicating selectivity of gallein and other small molecules for inhibition of different G protein effectors suggests the binding of gallein to Gβγ is not via these non-specific mechanisms . Nevertheless, to further consider small molecule inhibition of Gβγ as a viable direction for drug development it is important that these issues be resolved with direct methods.
In this report we use several biophysical methods to show that gallein/M119 and two other classes of molecules bind directly to Gβγ. A surprising result from direct binding analysis of the different classes of Gβγ hot spot-binding small molecules was the remarkably slow kinetics of binding and dissociation of these compounds compared to the much faster kinetics of Gβγ hot spot-binding peptides (i.e. SIGK. Fig. 1.). The reason for this slow binding is not understood. One possibility is that the compounds bind to a single conformation explored by the Gβγ binding surface. It is widely thought that Gβγ does not undergo major conformational changes but recent NMR data suggests that the Gβγ hot spot is highly dynamic . If the binding surface is exploring multiple conformations it could be that a specific minor conformation is required for small molecule binding. If adopting such a conformation were rate limiting for complex formation this could underlie a slow on-rate constant.
The slow dissociation of gallein and 372 from Gβγ in the SPR experiments suggested possible covalent interactions. The observation of binding in the presence of reducing agent and EDTA suggested that the molecules were not binding in a redox or metal ion-dependent manner. Analysis by intact protein mass spectrometry demonstrated that gallein could be completely dissociated from Gβγ at collision energies that maintain some intact Gβγ heterotrimer, and gallein and 372 could be completely stripped from Gβγ with a mixture of low concentration chaotropic agents. This strongly suggests that gallein and M119 bind in a reversible non-covalent manner.
The SPR binding data agree very closely with a simple bimolecular binding interaction model, and the major binding mode assessed by non-covalent mass spectrometry and [3H]-gallein binding at relevant concentrations was close to 1:1. Potential formation of ordered aggregates was tested by Dynamic Light Scattering analysis (DLS). None of the small molecules tested showed aggregate formation at levels measurable by DLS (data not shown). These compounds also do not appear as promiscuous hits for aggregators in commonly carried out screening experiments. Additionally the experiments were done in detergent conditions which have been shown to disrupt aggregates .
The key goal of this study was to establish that the various small molecules of interest directly interact with Gβγ in a reversible, specific and stoichiometric manner. The data presented strongly support this conclusion and along with recent studies in animal models suggest [5,25] that use of molecules such as those shown here represent viable starting points for development of lead molecules for therapeutics.
This work was supported by the National Institutes of Health Institute of General Medicine [Grant 5R01GM081772]. The authors would like to thank Thomas Ryan, Chief Scientist Reichert Inc (Depew, NY) for his help in the preparation of Figure 2 and also guidance in carrying out SPR experiments in this text.
1Non standard abbreviations: GPCR, G protein-coupled receptor; SIGK, peptide with sequence SIGKAFKILGYPDYD; Gβγ, Heterotrimeric G protein βγ subunits; DTT, Dithiothreitol; SPR, Surface Plasmon Resonance; ELISA, Enzyme Linked Immunosorbent Assay; PLC, Phospholipase C; GRK2, G protein-coupled receptor kinase 2; TBS, Tris-buffered Saline
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.