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Using intrinsic tryptophan fluorescence to measure heterotrimeric G-protein activation

Robin E. Muller, David P. Siderovski, Adam J. Kimple University of North Carolina 07/2009
  • Heterotrimeric G protein activation is measured via the change in tryptophan fluorescence in the Ga subunit
  • This method applies to most Gαi, Gao and some small G proteins that have movement in the switch II region
  • Alternative, non-radiological method to 35S-GTPγS and[γ−32P]GTP assays

Table of contents

Introduction

GTP-binding proteins (G-proteins) are important, well-described cellular signaling molecules. Heterotrimeric G-proteins are composed of three subunits Ga, Gβ and Gγ and are typically bound to seven trans-membrane G-protein coupled receptors (GPCRs). The Ga-subunit binds guanine nucleotides while the Gβ and Gγ subunits form an obligate heterodimer. In its inactive state, the GDP bound Ga subunit is bound to Gβγ. Upon agonist activation the receptor acts as a guanine nucleotide exchange factor (GEF), resulting in the release of GDP and subsequent binding of GTP. The binding of GTP causes a dramatic conformational change in three flexible switch regions of Ga (Fig. 1 dark red and dark blue) resulting in the dissociation of Ga-GTP from Gβγ.

The duration of activation is controlled by the hydrolysis rate of GTP. Two well-described accessory protein  families affect the kinetics of Ga subunits by either accelerating GTP hydrolysis (the RGS proteins) or retarding GDP release (the GoLoco proteins). Regulators of G-protein signaling rapidly accelerate the GTP hydrolysis of Ga subunits by stabilizing the transition state; while GoLoco motifs act as GDIs (guanine nucleotide dissociation inhibitors), preventing GDP dissociation by adding a second arginine side-chain to  the contacts made to the bound nucleotide.


In this application note, we describe the use of the  BMG LABTECH’s POLARstar® Omega to monitor changes in the intrinsic fluorescence of a highly-conserved tryptophan located in the switch II region of Ga subunits (Fig. 1, “SII”). The conformational change in SII decreases the exposure of the Trp residue to the aqueous environment, resulting in an increase in the quantum yield. One can quantify this event by measuring the increase in Ga protein fluorescence at 350 nm upon excitation at 280 nm. In this application  note, we have optimized the assay by varying  concentration of Ga, changing assay buffers, and shifting excitation and emission wavelengths.

 

Materials & Methods

All experiments were conducted on the POLARstar Omega plate reader at ambient temperature using  Corning Black Polystyrene 96-well plates. Gai1 was purified exactly as previously described and diluted to 1 μM in assay buffer (unless otherwise noted) and  plated at an initial volume of 187 μL/well. Experiments were conducted using a 280 ± 5 nm and 350 ± 5 nm filter for excitation and emission, respectively, unless specified otherwise. 

 

To maximize data acquisition during the experiment, typical data collection was divided into three distinct phases – baseline (-15 - 0 s), activation (0 - 132 s), and plateau phase (132 - 158 s). Data were collected at 1, 0.6 and 2 s intervals for baseline, activation and plateau phases, respectively, using the fast kinetics (well mode) function on the Omega. At 0 s, 8 μL of 0.5 M NaF and  5 μL of 1.2 mM AlCl3 were injected sequentially with a 5 s delay. NaF and AlCl3 undergo a chemical reaction  to form AlF4¯, which mimics the leaving phosphate  group upon hydrolysis of GTP. This stable complex, Gai1 · GDP · AlF4¯, mimics the active, GTP-bound state of Gai1. The gain was set to 50% relative to 200 μL of pre-activated Gai1 · GDP · AlF4¯ to avoid saturating the signal. The previously described GoLoco motif GDI peptide, AGS3Con, was used and shown to inhibit the formation of Gai1 · GDP · AlF4¯


Buffers
Phosphate assay buffer (pH 8.0) - 100 mM NaCl, 100 μM EDTA, 2 mM MgCl2, 2 μM GDP, 20 mM K2HPO4/ KH2PO4 pH 8.0 


HEPES assay buffer (pH 8.0) - 100 mM NaCl,  100 μM EDTA, 2 mM MgCl2, 2 μM GDP, 20 mM  HEPES


Tris assay buffer (pH 8.0) - 100 mM NaCl, 100 μM  EDTA, 2 mM MgCl2, 2 μM GDP, 20 mM Tris

 
Instrument Settings

Fluorescence Intensity - Well Mode
Keep default settings except for the following:
No. of kinetic windows - 3

 

Baseline
No. of intervals - 15, No. of flashes - 10, Interval  time - 1 sec


Activation
No. of intervals - 220, No. of flashes - 10, Interval time - 0.6 sec


Plateau
No. of intervals - 13, No. of flashes - 10, Interval  time - 2 sec

 

Injection - use 320 μL/s and keep smart injection unchecked

 

Pump 1 inject 8 μL at start time 15 s (at t=0 in the graphs)
Pump 2 inject 5 μL at start time 20 s (at t =5s in the graphs)

 

Results & Discussion

In order to measure the effect of sample concentration on maximal response, we made serial dilutions of Gai1 from 3 μM to 50 nM in Tris pH 8.0 assay buffer. The most  robust response was seen at the highest concentration  of Gai1 tested (Fig. 2, red), but a change in fluorescence was detectable at all concentrations. To compare the quality  of the signal for each concentration, a Z’-factor was computed for each concentration.

This calculation accounts for the magnitude of the  signal change upon excitation (μplateau - μbaseline) as well as the standard deviation of data collected during  the plateau phase (σplateau) and baseline phase (σbaseline). Using the Z’-factor, 3 μM of Gai1 was seen to have no advantage over 1 μM Gai1 (i.e., both Z’-factors > 0.9) while the quality of the data decreased at concentrations under 1 μM (not shown). 

To assess the effect of assay buffer composition on  signal intensity, we measured the activation of 1 μM Gai1 in assay buffer prepared with various common buffer salts (Fig. 3a). The quality of the measurements, as determined by the Z’-factor, was similar for all of the buffers (Fig. 3b) although the maximum signal was observed with Tris assay buffer and the lowest magnitude was observed using HEPES assay buffer.

To verify that the assay is detecting the rate of Ga activation and is sensitive to changes in this rate, we incubated 500 nM of Gai1 with 5 μM AGS3Con peptide, a previously described GDI. As expected, the addition of AGS3Con (Fig. 4) dramatically dampened the maximal response of Gai1, as compared with 500 nM Gai1 alone.

Conclusion


In this application note, we described a robust auto-mated assay system for measuring G-protein a subunit activity. The assay is a sensitive and high-quality means to measure G-protein activation without the use of radiolabeled nucleotides.


Performing the assays with the POLARstar Omega 96-well plate reader with on-board injectors offers the advantage of automating the assays in triplicate on multiple Ga mutants or multiple modulators of spontaneous GDP release. 

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