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J. Biol. Chem., Vol. 279, Issue 43, 44775-44784, October 22, 2004
Increased Site 1 Affinity Improves Biopotency of Porcine Growth HormoneEVIDENCE AGAINST DIFFUSION DEPENDENT RECEPTOR DIMERIZATION*![]() From the Institute for Molecular Bioscience and School of Biomedical Sciences, University of Queensland, St. Lucia 4072, Australia
Received for publication, June 2, 2004 , and in revised form, August 4, 2004.
Based on phage display optimization studies with human growth hormone (GH), it is thought that the biopotency of GH cannot be increased. This is proposed to be a result of the affinity of the first receptor for hormone far exceeding that which is required to trap the hormone long enough to allow diffusion of the second receptor to form the ternary complex, which initiates signaling. We report here that despite similar site 1 kinetics to the hGH/hGH receptor interaction, the potency of porcine GH for its receptor can be increased up to 5-fold by substituting hGH residues involved in site 1 binding into pGH. Based on extensive mutations and BIAcore studies, we show that the higher potency and site 1 affinity of hGH for the pGHR is primarily a result of a decreased off-rate associated with residues in the extended loop between helices 1 and 2 that interact with the two key tryptophans Trp104 and Trp169 in the receptor binding hot spot. Our mutagenic analysis has also identified a second determinant (Lys165), which in addition to His169, restricts the ability of non-primate hormones to activate hGH receptor. The increased biopotency of GH that we observe can be explained by a model for GH receptor activation where subunit alignment is critical for effective signaling.
The growth hormone receptor (GHR)1 was the first class 1 cytokine receptor to be characterized, and the interaction between the human receptor and its ligand has been particularly well characterized (1, 2). The GHR has served as a paradigm for the ligand-induced dimerization mechanism that is believed to result in the activation of paired Janus kinases bound to the membrane proximal box 1 sequence of the receptor by a process of transphosphorylation. In the case of the GHR, JAK2 is the proximal effector, and once activated, it phosphorylates selected tyrosines in the receptor cytoplasmic domain, providing docking sites for SH2-domain containing signaling proteins and adaptors. Several important pathways are activated by this process, including the STAT5a/b, the ERK, and Akt pathways (3).
In a series of elegant investigations, a Genentech group demonstrated that the 4-helix bundle hormone possesses two non-identical binding surfaces, but binds to similar receptor binding sites in an ordered sequence, with the initial binding site possessing a higher affinity (site 1). Site 2 binding is stabilized by a further inter-receptor interaction involving the "dimerization domain" in the lower of the two cytokine homology modules (46). Both site 1 and site 2 interactions are critically dependent on a key tryptophan contributed by the upper cytokine module (Trp104), with a second precisely oriented tryptophan (Trp169) from the lower module also contributing critically to site 1 binding (2, 7). These tryptophans form the center of a hydrophobic binding surface (hot spot), which is the basis for the hormone-receptor interaction, with surrounding residues packing around these tryptophans to ensure high affinity interactions with the relevant hormone residues. Systematic mutagenesis has shown that essentially, the minihelix and loop between helices 1 and 2, together with residues in the center of helix 4 comprise the first hormone binding site 1 (1, 2). Residues at the amino terminus of the first helix and helix 3 comprise the second and smaller binding site on the hormone (5, 6). Simulation of the process of bivalent hormone-dependent dimerization of receptor subunits shows that increasing site 1 affinity will shift the dose-response curve leftwards, whereas increasing site 2 affinity increases the maximum response (8, 9). The Genentech group therefore sought to increase the potency of human GH by increasing the affinity of both site 1 and site 2 for the receptor using phage display. However, despite a 400-fold increase in site 1 affinity, or a 40-fold increase in site 2 affinity, no increase in potency of hGH was observed in a cell proliferation assay (10). This led these workers to conclude that hGH is evolutionarily "optimized," because site 1 affinity in particular was sufficient to trap the hormone at the cell surface long enough for efficient dimerization with the second receptor subunit following its diffusion in the plane of the membrane to the receptor 1-hormone complex. This optimization is evidently very effective, because it was necessary to lower site 1 affinity by around 100-fold to observe a significant increase in the EC50 for cell proliferation (10). While developing a cell proliferation assay for porcine GH based on stable expression of the pGH receptor, we noted that the biopotency of human GH was 5-fold greater than that of pGH. In an effort to understand the mechanisms responsible for this difference, and to create higher potency pGH analogues with economic potential, we have substituted site 1 binding residues from hGH residues into pGH. This also allowed us to identify species-specific determinants for hGH binding. We find that, contrary to hGH, it is possible to improve the biopotency of pGH, both by increasing on-rate and by decreasing off-rate constants. Our observations are consistent with a model for GH receptor activation that involves a hormone-induced conformational change within a constitutive dimer, rather than hormone-induced receptor dimerization. Such a model has been proposed recently based on FRET and BRET data, and the ability to create constitutively active receptors independent of hormone by relative rotation of receptor subunits.2
Hormones Recombinant hGH was obtained from the National Institute for Biological Standards and Control, Herts, UK, and interleukin-3 was a generous gift of Andrew Hapel, Australian National University, Canberra, Australia.
Mutagenesis
Site-directed mutagenesis was carried out as described by QuikChange (Stratagene) to create a series of individual pGH mutants within the four groups described above. The following primers were used, where mutated bases are bolded and underlined. The primers are: G13For (R42K): 5'-TCCCGGAGGGACAGAAGTACTCCATCCAGAACG-3'; G13Rev (R42K): 5'-CGTTCTGGATGGAGTACTTCTGTCCCTCCGGGA-3' G14For (45F/I46L): 5'-GACAGAGGTACTCCTTCCTGCAGAACGCCCAGGCTG-3'; G14For (45F/I46L): 5'-CAGCCTGGGCGTTCTGCAGGAAGGAGTACCTCTGTC-3'; G22For (T62S/G63N): 5'-CCATCCCGGCCCCCAGCAACAAGGACGAGGCCCAG-3'; G22Rev (T62S/G63N): 5'-CTGGGCCTCGTCCTTGTTGCTGGGGGCCGGGATGG-3'; G24For (K64R/D65E): 5'-GCCCCCACGGGCAGGGAAGAGGCCCAGCAGAGATC-3'; G24Rev (K64R/D65E): 5'-GATCTCTGCTGGGCCTCTTCCCTGCCCGTGGGGGC-3'; G25For (A67T): 5'-ACGGGCAAGGACGAGACCCAGCAGAGATCGG-3'; G25Rev (A67T): 5'-CCGATCTCTGCTGGGTCTCGTCCTTGCCCGT-3'; G31For (K165R): 5'-CTGCTCTCCTGCTTCAGGAAGGACCTGCACAAG-3'; G31Rev (K165R): 5'-CTTGTGCAGGTCCTTCCTGAAGCAGGAGAGCAG-3'; G41For (V177I): 5'-GAGACATACCTGCGGATCATGAAGTGTCGCCG-3'; G41Rev (V177I): 5'-CGGCGACACTTCATGATCCGCAGGTATGTCTC-3'; G42For (V177I/M178V/K179Q): 5'-GACATACCTGCGGATCGTGCAGTGTCGCCGCTTCG-3'; G42Rev (V177I/M178VK179/Q): 5'-CGAAGCGGCGACACTGCACGATCCGCAGGTATGTC-3'; G46For (F184S): 5'-CATGAAGTGTCGCCGCAGCGTGGAGAGCAGCTGTG-3'; G46Rev (F184S): 5'-CACAGCTGCTCTCCACGCTGCGGCGACACTTCATG-3'; G47For (del.R183/F184S): 5'-CATGAAGTGTCGCAGCGTGGAGAGCAGCTGTG-3'; G47Rev (del.R183/F184S): 5'-CACAGCTGCTCTCCACGCTGCGACACTTCATG-3'.
GHBP Mutations
Expression Constructs After each mutation was confirmed by autosequencing using the ABI Prism big dye terminator version 3.0 (Australian Genome Research Facility), the mutant cDNAs were digested with the relevant restriction enzymes such that the mutated region was excised. The pET-20b(+) expression vector (catalog number 69739-3, Novagen, Madison, WI) was also cut with the same enzymes followed by ligation of the mutant DNA segment. The mutant cDNA segments in the expression vector were again sequenced between the subcloning sites to eliminate any spurious mutations.
Expression and Purification of Recombinant Proteins
Selected bacterial clones expressing pGH and pGH mutants were used to initiate fermentation by inoculation in 50 ml of LB medium at 37 °C, followed by an overnight culture at 15 °C. This culture was then diluted into 500 ml of TB medium and grown in 2 x 2-liter flasks at 37 °C to an A600 of 0.70.9. Isopropyl-1-thio- The inclusion body pellets were then re-suspended in 10 ml of denaturation buffer (10 mM glycine, 10 mM dithiothreitol, 40 mM sodium borate, pH 9.1), 4 volumes of 6 M guanidine HCl was added, and the ixture was stirred for 1 h. After this, the suspension was centrifuged and the supernatant was diluted with 5 volumes of 4 M urea, 1 mM glycine, 25 mM Na3BO3 (pH 9.1), such that the refolding was initiated, and this was facilitated by agitating gently to allow air oxidation, for 5 h at 4 °C. Oxidation was followed by dialysis against 8 liters of 1 M urea, 25 mM Na3BO3 (pH 9.1) and 2x 8 liters of 25 mM Na3BO3 (pH 9.1) for 36 h at 4 °C. The refolded oxidized protein was then loaded onto a Q-Sepharose (catalog number 17051010, Amersham Biosciences) column (1.6 x 20 cm) pre-equilibrated with 25 mM Na3BO3 (pH 9.1) at 4 °C. Elution was carried out with a continuous NaCl gradient (01 M) in the equilibration buffer at 2 ml/min, and 5-ml fractions were collected. Protein concentration was determined by absorbance at 280 nm, and monomer content was determined by 14% SDS-PAGE in the absence of reducing agents. Gels were stained with Coomassie Blue R-250. Fractions judged to be greater than 95% pure monomer were selected for further analysis. pGHBP and hGHBPRecombinant porcine GHBP WT, pGHBP(S201C), and pGHBP(S237C) were expressed in E. coli BL21(DE3) and purified as described in Wan et al. (13). Wild type hGHBP and hGHB(S201C) cDNA coding sequence for residues 1237 was ligated into the pET20b(+) vector and transformed into E. coli, BL21 CodonPlus(DE3)-RIL (catalog number 230245, Stratagene) according to the instruction manual (revision 050004). Subsequent expression and purification of these proteins was as described in Wan et al. (13). Radioligand binding of purified GHBPs was according to Ref. 14.
Surface Plasmon Resonance
Preparation of Sensor ChipsTo immobilize pGHBP and hGHBP in discrete orientations on the BIAcore sensor chip SA (streptavidin), a cysteine residue was introduced at Ser201 or Ser237 as previously described (1). In our hands, direct coupling of the free thiol to the sensor chip inactivated the binding protein. Therefore the free thiols were conjugated with Biotin-BMCC (Pierce) to form a mixed disulfide, with excess Biotin-BMCC being removed with a PD-10 desalting column (Amersham Biosciences). After preconditioning sensor chips with three consecutive 1-min injections of 1 M NaCl in 50 mM NaOH, biotinylated GHBPs were immobilized onto the streptavidin at the chip surface until Analyses of Binding KineticsAssociation rates were calculated from binding profiles obtained by injecting increasing concentrations of each GH analogue. In all cases, 25 µl of 0.5, 3.75, 7.5, 15, 30, and 60 nM analogue were injected. Each concentration of the analyte was run three times over the surface of the GHBP Chip at a flow rate of 5 µl/min. Injection time was 5 min, stabilization time was 1 min, and dissociation time was 5 min. High salt buffer-EP was used to prevent long-range electrostatic effects and to mimic physiological ionic strength, and nonspecific binding was reduced by including 0.02% Tween 20. The surface was regenerated by washed for 30 s with 25 µl of 4.5 M MgCl2. Control experiments showed that this was sufficient to remove all the bound hormone and that the surface could be reused more than 100 times without significant change in the binding kinetics. Association and dissociation kinetic constants were calculated by BIAevaluation 3.2 software using a simple 1:1 Langmuir model. A wild type reference was always included to control for any chip variation. The concentration of the hGH, pGH, and analogues were determined by absorbance at 280 nm and BCA analysis.
Cell Proliferation Assays
Homology Modeling
Molecular Dynamics
Biopotency of Analogues in a pGH Receptor-based AssayThe 5-fold biopotency difference that prompted this study is shown in Fig. 2A, which compares the potencies of hGH and pGH against the pGH receptor in the BaF cell assay. To address the basis for this difference, we expressed and purified 20 pGH analogues each possessing different combinations of the key binding elements of hGH identified for site 1 binding to receptor 1 (1). This resulted in 4 groups of mutants, corresponding to the minihelix between helices 1 and 2 (G1), R41K/Inserted 44F/I45L; the extended loop between helices 1 and 2 (G2), T61S/G62N/K63R/D64E/A66T; the central part of helix 4 (G3), K165R/L168M/H169D/A171V; and the carboxyl-terminal end of helix 4 (G4), V177I/M178V/K179Q/del.182R/F183S (Fig. 1). Variants with individual mutations in each group were also created. The biopotency curves for several of these are shown in Fig. 2, BD, and the EC50 values are listed in Table I.
Of the four groups of pGH analogues, the most significant reduction in EC50 for cell proliferation were for group 1 (1), R41K/Inserted 44F/I45L; group 2 (1), T61S/G62N/K63R/D64E/A66T; and group 4 (7), del.182R/F183S. There were no biopotency-improved variants in group 3. Interestingly, although neither double nor single mutations showed any significant reduction in the EC50 in group 2, the sum of all mutations in this group showed a highly significant improvement (0.36 ± 0.028) in EC50 relative to pGH WT. To further improve pGH analogue biopotency, the biopotency-improved variants in groups 1, 2, and 4 were combined into group 5 (G5). As seen in Table I, most of the combination mutants in G5 showed that higher biopotency was achieved by the approach, except for G5 (2) where residues decreasing biopotency (K63R/D64E) were included. The most significant improvement in biopotency was seen with the combined analogues G5(3), G5(5), G5(6), and G5(7), which had 4.6-, 4.1-, 4.5-, and 5.1-fold increases in biopotency, respectively, compared with pGH WT (Table I and Fig. 2). The greatest biopotency-improved analogue, G5(7), consisted of 10 mutations: R41K/Inserted 44F/I45L/T61S/G62N/K63R/D64E/A66T/del.182R/F183S. However, a mutant with only 5 residue changes (G5(3)) possessed a biopotency very close to that of G5 (7). For regulatory reasons, it was important to determine whether these increased biopotency pGH mutants cross-react with the hGH receptor. Analysis with the BAF/B03 cell line expressing hGHR revealed that pGH wild type could not activate the hGHR up to 50 nM and this was the case for all pGH analogues except for group 3 analogues and, to a minor extent, for group 5 (7). This is illustrated in Fig. 3 and Table II, which show that pGH mutant G3(1) L168M/H169D/A171V has a 19-fold lower potency for hGH receptor than hGH itself, and mutant G3(2) K165R/L168M/H169D/A171V reaches one-fifth the potency of hGH. However, these mutants are 23-fold less potent than pGH in the pGH receptor-based cell bioassay. To understand the basis for the differences in biopotency observed with these hybrid pGH mutants, we undertook biosensor analysis for binding kinetics with immobilized pGHR extracellular domain (ECD or GHBP).
Kinetic ParametersTwo GHR ECD orientations were used for these studies, based on studies with the hGHR ECD (1). In this case, immobilization through S201C prevents dimer formation between ECDs, and yields site 1 kinetic parameters, whereas immobilization through S237C allows hormone-induced dimer formation, and provides an overall measure of complex formation similar to binding to intact receptor at the cell surface. This is verified for the pGHR ECD in Table III, which shows that the maximum binding stoichiometry for pGH binding to S201C immobilized ECD approached 1.0, whereas the stoichiometry for S237C ECD was close to 0.5. It is notable that the absolute values for off- and on-rate constants do not differ markedly between pGH and hGH binding to their respective ECDs. The calculated KD values (Table III) are similar to the values reported by the Genentech group (1), indicating that the purified ECDs were correctly refolded and immobilized.
Binding parameters for site 1 using the S201C pGHR ECD are presented in Table IV and representative sensorgrams in Fig. 4. hGH is seen to have a marginally lower on-rate that WT pGH. It can be seen that only the minihelix substitution R41K/Insert44F/I45L significantly increases the on-rate constant, and this is largely a result of substitution of Lys for Arg at position 41. This substitution essentially doubled the affinity constant. In support of this conclusion, combination mutants with the minihelix substitution also show an increased on-rate, except when decreased by another mutation.
Analysis of off-rates was more revealing (Table IV). The off-rate for hGH binding to S201C pGHR ECD is 12.5 times slower than for pGH, and this accounts for the 9-fold higher affinity of hGH for the pGHR ECD. This decreased off-rate appears to be a result of residues in the extended loop between helices 1 and 2, because substitution of only these 5 hGH residues into pGH produces a comparable decrease in off-rate constant as seen with hGH itself. Interestingly, with the exception of A66T, none of the individual or paired substitutions in this sequence was able to decrease the off-rate. Evidently the entire 5-residue substitution is required, and this is confirmed in the combination mutants. This difference in the off-rate is sufficient to increase the affinity constant by over 20-fold, exceeding that of hGH itself. Analysis of the 20 mutants with the S237C pGHR ECD chip was also revealing (Table V). In all cases the on-rate constant was greater than the corresponding S201C pGHR ECD value, although the effect was less than 2-fold. The off-rate constants with hGH and most of the pGH mutants are less than the value with S201C pGHR EC, presumably as a result of the stabilization associated with formation of the ternary complex. However, this is not the case for mutants involving the extended loop between helices 1 and 2, either alone or in combination with other mutations. Evidently the stabilization of site 1 binding that results from substitution of the 5 extended loop residues is sharply decreased on formation of the ternary complex.
Primate Specificity DeterminantsThe basis for increased biopotency of Group 3 fourth helix substituents seen in the hGH receptor-based cell bioassay was investigated using a S201C hGHR ECD sensor chip. As shown in Table VI, the on-rate constant was the critical factor in determining affinity. Previously (15) we showed that His169 is the key primate specificity determinant, and this was verified here. In addition, the K165R substitution was able to further increase the on-rate constant by a factor of nearly 3-fold. This allowed the mutant pGH to bind to hGH receptor site 1 with an affinity exceeding one-tenth that of wild type hGH, similar to its one-fifth biopotency in the cell assay.
Relationship between Kinetic Parameters and BiopotencyAs illustrated in Fig. 5, across the 20 pGH mutants there is a linear relationship between normalized site 1 biopotency and the normalized site 1 dissociation constant, obtained with the S201C pGHR ECD chip. This linear relationship also applies for the S237C pGHR ECD chip. This relationship is not seen with hGH (10).
This study has shown that, in contrast to hGH (10), pGH is not "evolutionarily optimized," and can be mutated to improve its biopotency. Indeed, there is a linear relationship between site 1 affinity of pGH and biopotency over a 10-fold range. This accords with the predictions of Illondo et al. (8) and Matthews et al. (9) for hormone-induced dimerization of a cytokine receptor. However, the finding that a 400-fold increase in site 1 affinity for hGH or a 40-fold increase in affinity for site 2, did not result in any increased biopotency led Pearce et al. (10) to examine these predictions more closely, and to propose that the limiting factor in receptor activation was diffusion of the second receptor to the hormone-receptor 1 complex. They argued that because site 1 affinity needed to be reduced over 50-fold to see a decrease in biopotency, the binding to site 1 far exceeds the requirement to immobilize the hormone until the second receptor formed the active ternary complex. A comprehensive set of calculations accounting for membrane diffusion rates during the receptor dimerization process showed that, based on the dimerization model and a conservative estimate of cell diameter and receptor density, no change in hormone biopotency was possible unless the affinity was reduced at least 20-fold. However, our BIAcore analysis shows that site 1 affinity of pGH for its receptor is only slightly less than that of hGH for its receptor site, yet we find a linear relationship between site 1 affinity and biopotency for pGH, so the diffusion limited argument does not appear to apply. An alternative explanation is that the phage display-matured hGH binds in a less signaling competent manner to its receptor than the wild type hormone. It is clear from the crystallography study of Schiffer et al. (16) that phage display mutations alter the way that site 1 binds to its receptor, but what was surprising in this study was that site 2 interactions are also very different in the crystal structure, even though the mutations were introduced exclusively in site 1. We find, conversely, that site 2 and dimerization domain interactions can alter site 1 interactions, as exemplified by the decrease in affinity with S237C pGHR ECD (which detects ternary complex formation) when high affinity mutants involving the extended loop between helices 1 and 2 (site 1) are examined. In this case alone, the affinity for the S237C pGHR ECD chip is lower than the affinity for the S201C chip, implying that site 2 and inter-receptor interactions destabilize site 1 interactions. This is presumably a result of disturbing the packing around the key hydrophobic binding hotspot that involves the two tryptophans, Trp104 and Trp169 (2). The loss of overall (S237C) affinity we observe in this case may contribute to preventing a further increase in biopotency beyond the 5-fold wild type, even though the site 1 affinity increase is over 20-fold. In the simple hormone-induced receptor dimerization model, the manner in which the receptor subunits bind to the hormone is of little relevance. However, we have recently proposed a new model for GH receptor activation that is based on relative rotation of subunits within a pre-existing receptor dimer.2 In this model, relative orientation of receptor subunits is critical for effective signaling, as has been shown for the homologous erythropoietin receptor (17). We suggest that the reason that the phage display variants of hGH were unable to improve biopotency is that they caused misalignment of receptor subunits in some way, which resulted in a lower proportion of occupied receptors initiating their response at a given hormone concentration. In this view, the pGH mutants identified here were able to act more efficiently, because they preserve the framework needed for signaling-competent alignment of receptor subunits, which is present in hGH. We have undertaken homology modeling and molecular dynamics studies to understand the bases for the changes in site 1 kinetics that we observe with our mutants. Our homology model for the pGH receptor, based on the human structures, shows that the substitutions influencing on-rate (R41K/Insert44F/I45L) in the minihelix between helices 1 and 2 can be explained by two effects. The first is an improvement in the minihelix structure and stability as a result of insertion of the Phe, evident in molecular dynamics simulations that show greater mobility of the wild type minihelix. The second contributing factor appears to be the ability of human Lys41 to form a productive salt bridge with Glu127 of the receptor, where Arg41 of pGH forms only a hydrogen bond to receptor Cys122. The reduction in off-rate associated with the group of 5 substitutions in the extended loop between helices 1 and 2 (T61S/G62N/K63R/D64E/A66T) most likely relates to their role in packing around the important tryptophans Trp104 (hGH Ser62) and Trp169 (hGH Arg64), which are known to determine the off-rate (1). There are also additional bonds that are predicted to be present with the introduced human sequence that are absent with WT pGH (see Fig. 6). Thus, human Arg64 forms an ionic bond with receptor Asp164, and an ionic bond with Glu44, whereas porcine Lys63 is able to form only an ionic bond to Asp164. Arg64 packs closely with receptor Trp169, so its positioning is important. In addition, the carbonyl of hGH Ser62 forms a hydrogen bond to the amide of receptor Ile103, which is important in positioning receptor Trp104. Another important factor is likely to be the ability of carbonyl of the side chain of Asn63 of hGH (Gly in pGH) to form a hydrogen bond with the backbone amide of hGH Glu66, which acts to stabilize the loop (referred to as an ASX motif (18)). Moreover, the backbone carbonyl of Asn63 hydrogen bonds to the hydroxyl side chain of Thr67 (Ala in pGH). These stabilizing hydrogen bonds are likely to influence the positioning of human Arg64, which forms important contacts with receptor Trp169.
An analysis of sequences from different species, together with the original alanine scanning study of Cunningham et al. (19) and the crystal structure of the 2:1 complex, led Sousa et al. (20) to show that Asp171 of hGH (His in non-primate GH) is the primary determinant responsible for the inability of non-primate GH to activate the human receptor. We subsequently analyzed this in detail, with both receptor and hormone substitutions and modeling studies, showing the incompatibility of His169 of pGH opposite the primate receptor Arg43 (15). Here we independently confirm our earlier conclusions about Asp171-His169, and also find that a further substitution of primate Arg (i.e. Arg167 of hGH) at Lys165 results in a pGH mutant that is able to activate the human receptor with only 5-fold lower potency than hGH itself. This is confirmed with kinetic analysis, which shows that the Arg substitution at Lys165 increases the on-rate a further 4-fold. As shown in Fig. 6, this appears to be a result of altered interactions with key electrostatic contributors to binding in the linker region between cytokine homology modules (Asp126 and Glu127). It can be seen in the N- 1 and N- 2ofArg167 in the hGH hydrogen bond/salt bridge to the O- 1 of Glu127 hGHR (5). This Arg is also sufficiently close to the carboxy1 group of Glu126 to form a productive salt bridge (4.3 Å). In the case of pGH, Lys165 also hydrogen bonds to Glu127, but cannot form the additional salt bridge to Glu126. This appears to be the only additional bond that can be formed with hGH, and its absence could explain the 3-fold loss of site 1 affinity and 4-fold loss in biopotency seen against the hGHR. However, this loss of affinity is not seen in the homologous pGH-pGHR interaction, because the longer Glu126 side chain of pGH allows electrostatic interaction with Lys165 of pGH, and His169 could also form a weak ionic interaction with Glu126.
Our report of the creation of higher potency cytokine analogues is not unique, although we have been unable to find any literature reports of protein engineering that has resulted in significantly higher potency class 1 cytokine analogues. Okabe et al. (21) reported that the in vitro potency granulocyte colony-stimulating factor could be increased up to 4-fold by 5 substitutions identified from a screen of about 100 mutations. Generally, cytokine potency has otherwise been increased in vivo by PEGylation (e.g. tumor necrosis factor- In conclusion, in contrast to human GH, it has been possible to engineer higher potency analogues of porcine GH by increasing site 1 affinity, and this may apply for other non-primate hormones. The finding that there is an essentially linear relationship between site 1 affinity and biopotency has important implications for understanding the process of growth hormone receptor activation.
* This work was supported by grants from the National Health and Medical Research Council (Australia) and the Australian Research Council. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
1 The abbreviations used are: GHR, growth hormone receptor; STAT, signal transducers and activators of transcription; ERK, extracellular signal-regulated kinase; GHBP, growth hormone-binding protein; RU, refractive index unit; WT, wild type; hGHR, human growth hormone receptor; pGH, porcine growth hormone; ECD, extracellular domain.
2 R. J. Brown, J. J. Adams, R. A. Pelakanos, Y. Wan, W. J. McKinstry, K. Palethorpe, R. M. Seeber, T. A. Monks, K. A. Eidne, M. W. Parker, and M. J. Waters, unpublished data.
We thank Gary Shooter and Richard Brown for valuable discussions.
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