Abstract
We constructed two artificial multiple-step electron transfer (hopping) systems based on Pseudomonas aeruginosa azurin where a tyrosine (YOH) is situated between Ru(2,2′-bipyridine)2(imidazole)(histidine) and the native copper site: RuH107YOH109 and RuH124-YOH122. We investigated the rates of CuI oxidation by flash-quench generated RuIII over a range of conditions that probed the role of proton-coupled oxidation/reduction of YOH in the reaction. Rates of CuI oxidation were enhanced over single-step electron transfer by factors between 3 and 80, depending on specific scaffold and buffer conditions.
1. Introduction
Proton-coupled electron transfer (PCET) reactions play central roles in many biological redox processes. The broadest definition of PCET includes all net transformations in which both protons and electrons are transferred, regardless of mechanism.1 Many redox processes involve PCET, including conversion of NAD+ to NADH, H+ to H2, and reduction of CO2 to carbohydrates. The phenol side chain of tyrosine (YOH) is known to participate in the PCET reactions of photosystem II,2 ribonucleotide reductase, 3 and cytochrome c oxidase. 4 Herein, we demonstrate that proton-coupled multiple-step redox reactions (hopping) via YOH can facilitate long-range oxidation of CuI in Ru-modified Pseudomonas aeruginosa azurin. We regret that we did not have a chance to share our findings with Bob Williams, most especially since his groundbreaking work over many years greatly influenced our views of the reactivity patterns of blue copper proteins.5
PCET reactions involving a single proton and electron can occur by any one of three limiting mechanisms: sequential electron transfer followed by proton transfer (ETPT) or vice versa (PTET), or concerted transfer of both particles (CPET). 6 Investigations of PCET mechanisms in the above enzymes, and in small molecule models, have generated lively debate about the relative importance of each reaction pathway.7,8,9,10,11 Reactions of model compounds in non-aqueous solvents typically favor concerted (H• transfer) mechanisms, which avoid the generation of high-energy (charged) intermediates.12 Conversely, reactions of model complexes in water can take advantage of both stepwise and concerted mechanisms, especially PTET, since aqueous PT reactions are facile.7,10,11
The redox reactions of phenol (PhOH) serve as models for biological oxidations of YOH. Oxidation of phenols13 and related models14 H-bonded to proton acceptors in polar, aprotic solvents (e.g., acetonitrile) is thought to occur via a concerted mechanism. In buffered aqueous media, oxidation of PhOH proceeds via PTET.11 It is thought that buffer conjugate bases can act as proton acceptors under some conditions,9,11 a role played by H2O in unbuffered media. Indeed, at certain pH values, H2O is thought to serve as proton acceptor in concerted oxidation of PhOH to PhO•.11
Incorporation of phenol (as YOH) into a protein matrix can have a dramatic impact on the energetics and kinetics of its redox reactions. Work on peptides15 and proteins16 has shown how local interactions modulate YOH redox behavior, and investigations of modified ribonucleotide reductases17 have shed light on the roles of YOH reduction potentials in redox function. In adding to this body of work, we have investigated two-step YOH-promoted ET in Ru-labeled azurins (Figure 1) where YOH is situated between a histidine-ligated RuII(bpy)2(im) photosensitizer: RuH107YOH109 and RuH124YOH122 (bpy = 2,2′-bipyridine, im - imidazole). We previously demonstrated that these two proteins have cofactor arrangements that are spatially optimized for ET hopping.18
Figure 1.

Models of RuH107YOH109 (left) and RuH124YOH122 (right) azurins. The structures are based on those determined for rhenium-modified azurins (PDB ID 1I53 and 2I7S, respectively). The site of Ru-coordination is shown with a teal sphere and the site of YOH incorporation is highlighted in red. For clarity, only the protein backbone connecting the histidine and Cu-ligating residue is shown.
2. Results
2.1 Synthesis and characterization
All P. aeruginosa azurins were expressed and purified as described previously.18,19 Note that we used azurins that contain only one YOH residue; all of the YOH and W residues in wild-type azurin were replaced with F and the native H83 is Q. The Ru-labeling protocol is described elsewhere.19 The labeled proteins were characterized using mass spectrometry (see Supporting Information) and UV-vis spectroscopy.
2.2 pKa determination
We evaluated the pKas of YOH109 and YOH122 by monitoring absorbance changes (295 nm20) as a function of pH. Titrations were carried out using 20 μM CuII azurin in 250 mM sodium borate + 100 mM NaCl (pH values of 7.94, 9.07, 10.02, 11.14, 12.34, and 12.81). Data were fit as described in the experimental section. As the pH increased, a new band appeared at 295 nm, indicative of YO−.formation. Analysis of this band gave pKa(YOH109) = 10.2 ± 0.3 and pKa(YOH122) = 10.5 ± 0.1. The shift in pKa between YOH109 and YOH122 is consistent with our findings for nitrotyrosines at the same positions.18 The titration data showed isosbestic points for conversion of YOH to YO−, but the optical band for CuII shifted above pH ∼11, suggesting perturbation of the metal site (the protein may be partially unfolded at high pH values).
2.2 Time-resolved laser spectroscopy
We explored YOH-promoted hopping in the Ru-azurins using standard laser flash-quench techniques. Transient absorption at 632.8 nm monitors the Cu oxidation state; increased 632.8 nm absorption is consistent with the formation of CuII azurin by reaction with photochemically generated RuIII(bpy)2(im)(His).
2.3 pH dependence with imidazole buffer
CuI oxidation was probed in RuH124YOH122 (Figure 2) and RuH107YOH109 (Figure 3) at different pH values ([im] = 250 mM; [NaCl] = 100 mM). CuI oxidation was not observed at pH 5 for RuH107YOH109. For all other samples, CuI oxidation kinetics were fit to a single exponential model; the observed rate constants are set out in Table 1. The specific rates of CuI oxidation by RuIII were enhanced over single-step ET by factors between 3 and 82, depending on the protein and pH. The greatest enhancement was for RuH107YOH109 at pH 9; the smallest enhancement was found for RuH124YOH122 at pH 5.
Figure 2.

Transient absorption traces (632.8 nm) for CuI oxidation in RuH107YOH109 azurin. The fits (red solid lines) are single exponential functions.
Figure 3.

Transient absorption traces (632.8 nm) for CuI oxidation in RuH124YOH122 azurin. The fits (red solid lines) are single exponential functions.
Table 1.
CuI oxidation rate constants (kobs, s−1) at different pH values.
| pH | RuH107YOH109 | RuH124YOH122 |
|---|---|---|
| single-stepa | (2.4 ± 0.5) × 102 | (2.2 ± 0.2) × 104 |
| 5 | --- | (6.7 ± 0.2) × 104 |
| 6 | (5.7 ± 0.3) × 103 | (8.0 ± 0.2) × 104 |
| 7 | (1.2 ± 0.2) × 104 | (8.5 ± 0.2) × 104 |
| 8 | (1.7 ± 0.2) × 104 | (1.0 ± 0.2) × 105 |
| 9 | (1.8 ± 0.2) × 104 | (1.4 ± 0.2) × 105 |
2.4 Buffer concentration
We also investigated the effects of buffer concentration on ET kinetics in the Ru-azurins. The range of imidazole buffer concentrations was limited, owing to the difficulty of maintaining a fixed pH in solutions where [imidazole]total < [RuIII(NH3)6Cl3]. CuI oxidation kinetics were examined for RuH124YOH122 and RuH107YOH109 proteins using 250, 100, and 10 mM imidazole + 100 mM NaCl at pH 8. Kinetics traces are shown in Supporting Information. In the absence of buffer (pH adjusted with NaOH/HCl), we did not observe oxidation of CuI in RuH107YOH109 azurin; and the rate of oxidation of CuI in RuH124YOH122 is within experimental error of that in the RuH124K122 protein.21
2.5 Buffer identity
To probe further the role of buffer in YOH-mediated CuI oxidation, we also explored ET reactions using Tris [tris(hydroxymethyl)aminomethane], sodium borate, and sodium acetate (all at 250 mM + 100 mM NaCl, pH 8). Kinetics traces are shown in Supporting Information and the observed rate constants are set out in Table 3. The observed rate constants were essentially independent of the specific buffer. However, in the case of RuH124YOH122 in acetate (pKa = 4.76), the kinetics deviated somewhat from single exponential, and the rate constants were smaller than those for ET reactions in the other buffers. The differences in behavior of the two proteins could be due to the different environments surrounding YOH122 and YOH109.18
Table 3. Rate constants in different buffers (+100 mM NaCl, pH 8).
| buffer | pKa | RuH107YOH109 | RuH124YOH122 |
|---|---|---|---|
| acetate | 4.76 | (1.3 ± 0.3) × 104 | (5.0 ± 0.5) × 104 |
| imidazole | 7.05 | (1.7 ± 0.2) × 104 | (1.0 ± 0.2) × 105 |
| Tris | 8.07 | (1.7 ± 0.2) × 104 | (1.6 ± 0.2) × 105 |
| borate | 9.14 | (1.8 ± 0.2) × 104 | (1.7 ± 0.2) × 105 |
3. Discussion
3.1 CuI oxidation
Oxidation of CuI by flash-quench generated [Ru(bpy)2(im)(HisX)]3+ was accelerated over single-step ET in the proteins we investigated. In analogy to findings from work on 3-nitrotyrosine-assisted18 and Trp-assisted ET,22 we attribute the rate enhancements to multistep tunneling made possible by the introduction of YOH between RuIII and CuI sites. The pH dependence of the hopping rate enhancements suggests that proton movement associated with YOH oxidation plays a critical role. Involvement with buffer also is suggested, as ET rate enhancement over single-step CuI to RuIII ET was not observed in the absence of buffer.
3.2 Mechanism
The YOH-mediated oxidation of CuI by RuIII could occur by any one of several mechanisms. In the following discussion, we focus on the first ET step (YOH → RuIII), as we did not observe tyrosyl radicals, indicating very rapid CuI → YOH ET. First, the oxidation of CuI by pure ET hopping (via a YOH•+/0 couple) can be eliminated on thermodynamic grounds, because the driving force (−ΔG°) for such a reaction is near −0.4 eV (E°(RuIII/II) = 1.0 V;23 E°(YOH•+/0) = 1.4 V6b versus NHE). In addition, the pKa of YOH is too high to be consistent with the population of tyrosinate (YO−) required for mediation of hopping. Hopping maps (Figure 4) constructed as described previously24 support these predictions.
Figure 4.

Hopping maps for pure electron transfer reactions. The parameters used to construct the maps are shown on the right. The numbers 1, 2, and 3 refer to RuIII, YOH, and CuI respectively. The dotted black line represents the driving force for the RuIII – CuI → RuII – CuII reaction. Hopping is not predicted to occur via YOH (upper black dot) in either of the proteins. Hopping is predicted to occur via YO− with rates of 4.3 × 105 and 1.5 × 106 s-1 for RuH107YOH109 and RuH124YOH122, respectively. The dashed line is drawn at 0.7 eV.
Three remaining potential mechanisms for the initial oxidation of YOH by RuIII are ETPT, PTET, and CPET, where oxidation of YOH occurs with concerted H+ transfer to buffer or to water. Involvement of YOH•+ (the first intermediate in the ETPT pathway) is unlikely, owing to the highly endergonic initial ET step (vide supra). Concerted reactions where H2O is the H+ acceptor11 also are unlikely, given the limited reactivity without added buffer. Under our experimental conditions, this pathway is not competitive with recombination between RuIII and reduced quencher (0.1-1 ms).
A concerted mechanism, with buffer as the H+ acceptor, also is not favored. First, marked changes in the kinetics would be expected upon buffer concentration changes. The observed yields of CuI oxidation products did not change and the rate constants were only marginally perturbed. Using previously derived values for free tyrosine,9b we expect that the fraction of azurin-YOH hydrogen bonded to buffer (imidazole in this case) would go from ∼90% (250 mM buffer) to ∼20% (10 mM buffer). However, the binding concentrations of YOH/buffer could differ markedly from those reported by Meyer and Thorp9b given the protein environment surrounding the YOH residue. Similarly, changing the identity of the buffer will change the driving force of a concerted reaction, which should be reflected in the rate constants. We did not observe behavior consistent with this prediction; the only exception was minimal perturbation of RuH124YOH122 in acetate buffer, where the pH is far from the buffer pKa value. Finally, we emphasize that concerted oxidation of phenols in model systems is associated with substantial nuclear reorganization.14
It is difficult to simulate the kinetics of the reaction, likely owing to uncertainties in YOH and YO– reduction potentials as well as ET distances in the protein, or the explicit buffer effect. Buffer presence is a requirement for ET rate enhancement over single-step ET, suggesting a buffer-mediated reaction. However, little dependence on buffer concentration or on buffer pKa, on ET rate constants was observed (a larger ET rate dependence on buffer characteristics was expected). These results could mean that buffer is bound under all experimental conditions tested. For the concentrations we have studied, a binding constant of only 103 M−1 would be needed to be consistent with negligible change in the fraction of buffer bound to the protein. Although there is room for other interpretations, we suggest, given the dependence of Cu oxidation on pH, coupled with the exergonic ET step from the phenolate and the requirement of buffer, that PTET oxidation of YOH accounts for the CuI to RuIII ET rates.
4. Conclusions
We demonstrated that a tyrosine residue situated between RuIII and CuI redox sites in azurin accelerates copper oxidation by up to a factor of 80. The rates depend upon solution pH, buffer, and to a lesser extent the identity of the buffer. Analysis using hopping maps suggests that the first ET step (oxidation of YOH by RuIII) controls the overall rates of CuI oxidation. For this first step, our results are inconsistent with a concerted mechanism, where YOH is oxidized and deprotonated in a single step. Instead, our data suggest that a stepwise pathway (proton transfer to form YO−, followed by oxidation) is operative. Such stepwise pathways may well occur during the biological redox reactions of tyrosine.
5. Materials and Methods
Buffer salts and solvents were obtained from J. T. Baker. Imidazole was from Sigma-Aldrich. Terrific broth was from BD Biosciences. Solutions were prepared using 18 MΩ-cm water, unless otherwise noted. Ru(2,2′-bipyridine)2Cl2 and [Ru(NH3)6]Cl3 were from Strem Chemicals. Ru(NH3)6Cl3 was recrystallized prior to use.25 Mass spectrometry was performed in the Caltech Protein/Peptide MicroAnalytical Laboratory (PPMAL).26 UV-visible spectra were recorded on an Agilent 8453 diode array spectrophotometer. All data were collected at ambient temperature (∼293 K).
Plasmids encoding for mutant azurins were generated using the Stratagene Quikchange protocol. Proteins were expressed and purified using known protocols. Purity was assessed using UV-vis and mass spectrometry.
The pKas of YOH109 and YOH124 residues were determined by measuring optical spectra of solutions prepared by addition of aliquots of a concentrated azurin solution (in water) to a buffer solution of sodium borate (250 mM, pH 8-13) and NaCl (100 mM). Spectroscopic isosbestic points for each titration are consistent with just two absorbing species (YOH and YO–). As YO− is the only species absorbing at 295 nm, pKas values could be extracted from fits of the pH-dependent absorbance (A295 nm) to Eqn. 1 (α is a pH-independent constant).
| (1) |
All transient spectroscopic measurements were conducted in the Beckman Institute Laser Resource Center at Caltech. Excitation (500 nm) was provided by an optical parametric oscillator (Spectra-Physics, Quanta-Ray MOPO-700) pumped by the third-harmonic of a Q-switched Nd:YAG laser (Spectra-Physics, Quanta-Ray PRO-Series, 8 ns pulse width), as described elsewhere.27 All experiments, which were carried out at ambient temperature (295K), employed [Ru(NH3)6]3+ (12 mM) as quencher, with 35 μM labeled azurin. Kinetics traces were collected at 632.8 and 490 nm for each protein sample. Protein samples were reduced using sodium ascorbate and desalted using PD-10 columns (GE Healthcare) into the appropriate buffer solution. The samples were deoxygenated by repeated pump-backfill cycles and left under an argon atmosphere for data collection. Data were fit to single exponential functions (Eqn. 2, see Supporting Information).
| (2) |
Supplementary Material
Table 2.
Rate constants at different buffer concentrations (+100 mM NaCl, pH 8).
| [buffer] (M) | RuH107YOH109 | RuH124YOH122 |
|---|---|---|
| 0.25 | (1.7 ± 0.2) × 104 | (1.0 ± 0.2) × 105 |
| 0.1 | (1.5 ± 0.2) × 104 | (1.0 ± 0.2) × 105 |
| 0.01 | (1.3 ± 0.2) × 104 | (9.8 ± 0.2) × 104 |
Acknowledgments
Research reported in this publication was supported by The National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health under award number R01DK019038 to HBG and JRW. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Additional support was provided by the Arnold and Mabel Beckman Foundation.
Footnotes
Dedicated to the memory of Robert J. P. (Bob) Williams.
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