Introduction
Nicotinic acetylcholine receptors (nAChRs)
5The abbreviations used are:
nAChR
nicotinic acetylcholine receptor
ACh
acetylcholine
α-Ctx
α-conotoxin
AChBP
acetylcholine binding protein
DRG
dorsal root ganglion
CI
confidence interval
H
human
M
mouse
Hyp
4-hydroxyproline
PDB
Protein Data Bank
TEVC
two-electrode voltage clamp.
are ligand-gated ion channels formed by the pentameric assembly of individual subunits. There are 16 genes in mammals that encode these subunits and are represented by the Greek symbols α1–α7, α9, α10, β1–β4, δ, ɛ, and γ (
1- Albuquerque E.X.
- Pereira E.F.
- Alkondon M.
- Rogers S.W.
Mammalian nicotinic acetylcholine receptors: from structure to function.
). nAChRs are expressed by neurons in both the central and peripheral nervous systems and are involved in diverse physiological processes (
2Nicotinic acetylcholine receptors and nicotinic cholinergic mechanisms of the central nervous system.
), including fast synaptic transmission (
3Fast synaptic transmission mediated by α-bungarotoxin-sensitive nicotinic acetylcholine receptors in lamina X neurones of neonatal rat spinal cord.
), the modulation of neurotransmitter release (
4- Exley R.
- McIntosh J.M.
- Marks M.J.
- Maskos U.
- Cragg S.J.
Striatal α5 nicotinic receptor subunit regulates dopamine transmission in dorsal striatum.
5- Salminen O.
- Murphy K.L.
- McIntosh J.M.
- Drago J.
- Marks M.J.
- Collins A.C.
- Grady S.R.
Subunit composition and pharmacology of two classes of striatal presynaptic nicotinic acetylcholine receptors mediating dopamine release in mice.
,
6Release of [3H]-noradrenaline from rat hippocampal synaptosomes by nicotine: mediation by different nicotinic receptor subtypes from striatal [3H]-dopamine release.
,
7α-Bungarotoxin-sensitive nicotinic receptors indirectly modulate [3H]dopamine release in rat striatal slices via glutamate release.
,
8- Sharma G.
- Vijayaraghavan S.
Modulation of presynaptic store calcium induces release of glutamate and postsynaptic firing.
,
9- Lu Y.
- Grady S.
- Marks M.J.
- Picciotto M.
- Changeux J.P.
- Collins A.C.
Pharmacological characterization of nicotinic receptor-stimulated GABA release from mouse brain synaptosomes.
10- Grady S.R.
- Meinerz N.M.
- Cao J.
- Reynolds A.M.
- Picciotto M.R.
- Changeux J.P.
- McIntosh J.M.
- Marks M.J.
- Collins A.C.
Nicotinic agonists stimulate acetylcholine release from mouse interpeduncular nucleus: a function mediated by a different nAChR than dopamine release from striatum.
), and numerous immunological processes (
11Nicotinic acetylcholine receptors in neuropathic and inflammatory pain.
,
12- Bagdas D.
- Gurun M.S.
- Flood P.
- Papke R.L.
- Damaj M.I.
New insights on neuronal nicotinic acetylcholine receptors as targets for pain and inflammation: a focus on α7 nAChRs.
).
Native nAChRs containing the α6 subunit are broadly classified into two subtype categories: those that contain the β2 subunit and those that contain the β4 subunit. The α6β2* subtype (the asterisk denotes the potential presence of additional subunits in native receptors) has a limited distribution profile in the nervous system but is abundantly expressed in certain regions of the brain and spinal cord (
13- Cox B.C.
- Marritt A.M.
- Perry D.C.
- Kellar K.J.
Transport of multiple nicotinic acetylcholine receptors in the rat optic nerve: high densities of receptors containing α6 and β3 subunits.
14- Marritt A.M.
- Cox B.C.
- Yasuda R.P.
- McIntosh J.M.
- Xiao Y.
- Wolfe B.B.
- Kellar K.J.
Nicotinic cholinergic receptors in the rat retina: simple and mixed heteromeric subtypes.
,
15- Gotti C.
- Guiducci S.
- Tedesco V.
- Corbioli S.
- Zanetti L.
- Moretti M.
- Zanardi A.
- Rimondini R.
- Mugnaini M.
- Clementi F.
- Chiamulera C.
- Zoli M.
Nicotinic acetylcholine receptors in the mesolimbic pathway: primary role of ventral tegmental area α6β2* receptors in mediating systemic nicotine effects on dopamine release, locomotion, and reinforcement.
,
16- Yang K.
- Buhlman L.
- Khan G.M.
- Nichols R.A.
- Jin G.
- McIntosh J.M.
- Whiteaker P.
- Lukas R.J.
- Wu J.
Functional nicotinic acetylcholine receptors containing α6 subunits are on GABAergic neuronal boutons adherent to ventral tegmental area dopamine neurons.
,
17- Champtiaux N.
- Han Z.Y.
- Bessis A.
- Rossi F.M.
- Zoli M.
- Marubio L.
- McIntosh J.M.
- Changeux J.P.
Distribution and pharmacology of α6-containing nicotinic acetylcholine receptors analyzed with mutant mice.
,
18- Whiteaker P.
- McIntosh J.M.
- Luo S.
- Collins A.C.
- Marks M.J.
125I-α-conotoxin MII identifies a novel nicotinic acetylcholine receptor population in mouse brain.
19- Cordero-Erausquin M.
- Pons S.
- Faure P.
- Changeux J.P.
Nicotine differentially activates inhibitory and excitatory neurons in the dorsal spinal cord.
). The α6β4* subtype probably has an even more restricted expression profile. Functional evidence for α6β4* nAChR expression in sensory neurons of rat and mouse dorsal root ganglia (DRG) has been demonstrated (
20- Hone A.J.
- Meyer E.L.
- McIntyre M.
- McIntosh J.M.
Nicotinic acetylcholine receptors in dorsal root ganglion neurons include the α6β4* subtype.
,
21- Wieskopf J.S.
- Mathur J.
- Limapichat W.
- Post M.R.
- Al-Qazzaz M.
- Sorge R.E.
- Martin L.J.
- Zaykin D.V.
- Smith S.B.
- Freitas K.
- Austin J.S.
- Dai F.
- Zhang J.
- Marcovitz J.
- Tuttle A.H.
- et al.
The nicotinic alpha6 subunit gene determines variability in chronic pain sensitivity via cross-inhibition of P2X2/3 receptors.
), although their functional role in these cells is mostly unknown.
DRG contain neurons that perform a wide range of sensory functions, including proprioception and the detection of harmful or painful stimuli. Recent evidence suggests that α6β4 nAChRs represent a new molecular target for the treatment of neuropathic pain. Development of neuropathic pain-like symptoms has been shown to be inversely correlated with
CHRNA6 expression levels in the DRG of mice (
21- Wieskopf J.S.
- Mathur J.
- Limapichat W.
- Post M.R.
- Al-Qazzaz M.
- Sorge R.E.
- Martin L.J.
- Zaykin D.V.
- Smith S.B.
- Freitas K.
- Austin J.S.
- Dai F.
- Zhang J.
- Marcovitz J.
- Tuttle A.H.
- et al.
The nicotinic alpha6 subunit gene determines variability in chronic pain sensitivity via cross-inhibition of P2X2/3 receptors.
). Strains with high levels of
CHRNA6 expression show lower levels of mechanical allodynia in several neuropathic and inflammatory pain models, and those with low levels of
CHRNA6 expression are more susceptible to developing neuropathic pain. Intriguingly,
CHRNA6 null mice show no analgesic responses to nicotine, whereas mice with a gain-of-function mutation show increased analgesic responses. In addition, a history of chronic pain syndromes in humans correlates with levels of
CHRNA6 expression (
21- Wieskopf J.S.
- Mathur J.
- Limapichat W.
- Post M.R.
- Al-Qazzaz M.
- Sorge R.E.
- Martin L.J.
- Zaykin D.V.
- Smith S.B.
- Freitas K.
- Austin J.S.
- Dai F.
- Zhang J.
- Marcovitz J.
- Tuttle A.H.
- et al.
The nicotinic alpha6 subunit gene determines variability in chronic pain sensitivity via cross-inhibition of P2X2/3 receptors.
).
Rodent models of neuropathic pain are often used to study mechanisms of nociception as well as to evaluate potential therapeutics that can modulate the transmission and perception of pain. However, rodent models can be compromised by a number of species-related factors that complicate translation of results obtained in rodent studies to human clinical trials. One of these factors is the difference in ligand sensitivity between human and rodent receptors and ion channels.
Conotoxins are small peptides found in the venom of carnivorous marine snails of the
Conus genus and are used by these mollusks to capture prey. α-Conotoxins (α-Ctxs) belong to a subclass of conotoxins and are antagonists of nAChRs. Some α-Ctxs are capable of distinguishing among the various nAChR subtypes (
22α-Conotoxins to explore the molecular, physiological and pathophysiological functions of neuronal nicotinic acetylcholine receptors.
). α-Ctx Vc1.1 (
23- Sandall D.W.
- Satkunanathan N.
- Keays D.A.
- Polidano M.A.
- Liping X.
- Pham V.
- Down J.G.
- Khalil Z.
- Livett B.G.
- Gayler K.R.
A novel α-conotoxin identified by gene sequencing is active in suppressing the vascular response to selective stimulation of sensory nerves in vivo.
,
24- Satkunanathan N.
- Livett B.
- Gayler K.
- Sandall D.
- Down J.
- Khalil Z.
α-Conotoxin Vc1.1 alleviates neuropathic pain and accelerates functional recovery of injured neurones.
) is an example of a ligand developed as a treatment for neuropathic pain that showed promising results in rodent models but failed to produce similar levels of analgesia in human clinical trials. It was later demonstrated that decreased sensitivity of human
versus rat nAChRs to Vc1.1 might have contributed to this outcome. It is therefore important to determine how species differences influence receptor sensitivity to ligands. To this end, we have examined the interaction of human and rat α6β4 nAChRs with α-Ctxs to elucidate molecular determinants of ligand potency for this receptor subtype. Through structure–activity studies of PeIA, site-directed mutagenesis of α6 and β4 subunits, X-ray crystallography, and NMR studies of PeIA, we have identified important molecular determinants of α-Ctx potency for human and rat α6β4 nAChRs. The information obtained from these studies offers important insights into the pharmacology of α6β4 nAChRs and might facilitate the development of selective ligands that interact with this potential neuropathic pain target.
Discussion
Compounds expected to have analgesic properties are often tested in rodent models of pain with the expectation (and hope) that the results will be translatable to humans. However, several factors can influence whether a drug that is effective in rodents will also produce the same efficacy in humans. Some of these factors include bioavailability, metabolism, and, importantly, sensitivity of the molecular target to the compound of interest. Species differences in the amino acid sequences of target molecules can have substantial effects on ligand potency. For example, α-Ctx Vc1.1 was an effective analgesic in rodent models of neuropathic pain but failed to show similar efficacy in human clinical trials (
23- Sandall D.W.
- Satkunanathan N.
- Keays D.A.
- Polidano M.A.
- Liping X.
- Pham V.
- Down J.G.
- Khalil Z.
- Livett B.G.
- Gayler K.R.
A novel α-conotoxin identified by gene sequencing is active in suppressing the vascular response to selective stimulation of sensory nerves in vivo.
,
24- Satkunanathan N.
- Livett B.
- Gayler K.
- Sandall D.
- Down J.
- Khalil Z.
α-Conotoxin Vc1.1 alleviates neuropathic pain and accelerates functional recovery of injured neurones.
25- Kaas Q.
- Yu R.
- Jin A.H.
- Dutertre S.
- Craik D.J.
ConoServer: updated content, knowledge, and discovery tools in the conopeptide database.
). A single amino acid difference between human and rat α9 nAChR subunits was later shown to confer higher potency for rat over human α9α10 nAChRs, a potential analgesic target of Vc1.1 (
43- Yu R.
- Kompella S.N.
- Adams D.J.
- Craik D.J.
- Kaas Q.
Determination of the α-conotoxin Vc1.1 binding site on the α9α10 nicotinic acetylcholine receptor.
).
We recently reported that human α3β4 nAChRs are essentially insensitive to the α3β4 antagonist α-Ctx AuIB but show increased sensitivity to other α-Ctxs compared with rat α3β4 nAChRs (
44- Hone A.J.
- McIntosh J.M.
- Azam L.
- Lindstrom J.
- Lucero L.
- Whiteaker P.
- Passas J.
- Blázquez J.
- Albillos A.
α-Conotoxins identify the α3β4* subtype as the predominant nicotinic acetylcholine receptor expressed in human adrenal chromaffin cells.
,
45- Luo S.
- Kulak J.M.
- Cartier G.E.
- Jacobsen R.B.
- Yoshikami D.
- Olivera B.M.
- McIntosh J.M.
α-Conotoxin AuIB selectively blocks α3 β4 nicotinic acetylcholine receptors and nicotine-evoked norepinephrine release.
). Understanding how species differences influence ligand potency for α6β4 nAChRs is potentially critical for the successful development of analgesic ligands, with minimal off-target effects, for treating neuropathic pain in humans. In this study, we report that human and rat α6/α3β4 nAChRs show differential sensitivity to α-Ctxs PeIA, PnIA, and TxIB (
Fig. 2 and
Table 1). To evaluate the contributions of the α6 and β4 subunits to the higher α-Ctx potency for human α6/α3β4 nAChRs, we expressed human α6/α3 subunits with rat β4 subunits in
Xenopus oocytes and found that the IC
50 curves for inhibition of this hybrid combination by all three tested α-Ctxs are substantially right-shifted toward those for Rα6/α3Rβ4 nAChRs (
Fig. 3 and
Table 2). Likewise, when rat α6/α3 is expressed with human β4, the IC
50 curves are left-shifted toward those for Hα6/α3Hβ4 nAChRs (
Fig. 3 and
Table 2). These experiments suggest that intrinsic properties of human β4 are important determinants of higher α-Ctx potency for α6β4 nAChRs. Complementary experiments were also conducted on oocytes expressing human or rat α6/α3β2β3 nAChRs to determine whether the β2 subunit might also produce species differences in α-Ctx potency. However, the IC
50 values for PeIA, PnIA, and TxIB differed by less than ∼2-fold, indicating that species differences between human and rat contribute to the differential sensitivities of α6/α3β4, but not α6/α3β2β3, nAChRs to these α-Ctxs (
Fig. 4 and
Table 3).
There are several factors that might contribute to the higher α-Ctx potency for human α6/α3β4 nAChRs. First, there are three nonconserved residues of human and rat β4 subunits that form the ligand-binding pocket and might directly interact with ligands potentially affecting ligand affinity. Nonconserved residues outside the ligand-binding pocket might also contribute, albeit indirectly, to ligand affinity by altering the tertiary structure of the subunit. This, in turn, might affect the way the subunits associate with each other to create the ligand-binding surfaces. Here, we have examined the effect of substituting nonconserved residues of human α6 and β4 subunits with residues found in the homologous positions of the respective rat subunits. These residues include Ile
177 of human α6 and Leu
110, Val
118, and Leu
119 of human β4 (
Fig. S1). We observed that mutation of Ile
177 to Val in the α6 sequence has no effect on PeIA potency, but substantial effects were found with mutations of human β4. When Leu
119 was mutated to Gln, the potency of PeIA for α6/α3β4 nAChRs was reduced by ∼10-fold, but when Leu
119 was mutated to Phe, the potency was unchanged (
Fig. 5A and
Table 4). PeIA potency was also reduced by ∼4-fold when Leu
119 was mutated to Met (
Fig. S3). Additional mutations of human β4 were made to determine whether other nonconserved residues contributed to species differences in PeIA potency. We found that the potency of PeIA was not affected by either L110V or V118I mutations. A double mutant combining the V118I and L119Q mutations was then made to determine whether an interaction between Ile and Gln could potentially influence PeIA potency, but no further decrease in PeIAs IC
50 value, compared with that for the α6/α3β4
L119Q single mutant, was observed. It should be noted that mutation of Leu to Val and Val to Ile are conservative changes that might not result in easily observable effects on PeIA potency. Nevertheless, these experiments demonstrate that of the three nonconserved ligand-binding pocket residues between human and rat β4, only the Leu–Gln difference at position 119 contributes to the higher affinity of PeIA for human α6/α3β4 nAChRs. Similar experiments were conducted for rat α6/α3β4 nAChRs, but strikingly, we found that none of the mutations in rat subunits substantially changed the potency of PeIA, including the β4
Q119L mutation (
Fig. 5B and
Table 4). Therefore, we took a different approach to further examine the interaction of PeIA with α6/α3β4 nAChRs.
X-ray crystallography studies of PeIA complexed with the AChBP showed that PeIA Pro-13 is in close proximity to Met-119 of the complementary subunit. Based on this observation, we synthesized analogs of PeIA where Pro
13 was substituted with Hyp, Gln, Ala, or Arg to determine whether Pro
13 and position 119 of the β4 subunit interacted (
Fig. 7 (
A and
B) and
Table 5). Substitution of Pro
13 with Hyp or Gln reduced the potency of PeIA for human α6/α3β4 nAChRs but by only ∼3-fold. More substantial decreases in potency resulted when Pro
13 was substituted with Ala (∼7-fold) or Arg (∼20-fold). Although all four PeIA analogs showed reduced potencies for rat α6/α3β4 nAChRs, they did not show the same magnitude of change found for human α6/α3β4 nAChRs. The most substantial differences were found with the P13Q and P13R substitutions (
Fig. 7 (
A and
B) and
Table 5). [P13Q]PeIA showed a ∼53-fold reduction in potency for rat α6/α3β4 nAChRs, much larger than the ∼3-fold reduction observed for human α6/α3β4. The P13R substitution rendered rat α6/α3β4 nAChRs essentially insensitive to PeIA and resulted in a ∼335-fold reduction in potency relative to native PeIA. The [P13A]PeIA analog showed the largest reduction in potency for human (∼7-fold) compared with rat (∼3-fold) α6/α3β4 nAChRs (
Fig. 7 (
A and
B) and
Table 5). The results obtained with these PeIA analogs reveal additional species differences in ligand binding and suggest that the ligand-binding surfaces of human and rat α6/α3β4 nAChRs are intrinsically different despite having highly conserved ligand-binding domain sequences.
Additional support for an interaction between PeIA Pro
13 and position 119 of the β4 subunit was obtained by determining the potencies of the PeIA analogs on the human α6/α3β4
L119Q (
Fig. 8 (
A–C) and
Table 6) and rat α6/α3β4
Q119L mutants (
Fig. 11B and
Table 7). These double ligand–receptor mutant combinations resulted in additional reductions in PeIA potency for both species, lending support for a direct interaction between PeIA Pro
13 and position 119 of the β4 subunit.
To ensure that the reduced potencies observed with the PeIA analogs were not the result of changes in the overall structure of the peptide due to substitution of rigid Pro, we examined the structure of [P13A]PeIA and compared it with that of the native peptide using NMR. Although some differences in the αH shifts of residues 10–15 were observed, the overall backbone structure appeared unchanged relative to the native peptide (
Fig. 8). Furthermore, the orientations of the Pro
13 and Ala
13 side chains were similar in the native peptide and the analog, respectively, suggesting that the losses in potencies observed with the PeIA analogs are not due to repositioning of the side chains. Last, the PeIA potency differences observed for human α6/α3β4 and α6/α3β4
L119Q nAChRs are not due to changes in the potency or efficacy of the agonist acetylcholine (
Fig. S4).
Zhangsun
et al. showed that mutation of Phe
119 to Gln in the rat β2 subunit results in increased potency of LvIA for α3β2 nAChRs (
46- Zhangsun D.
- Zhu X.
- Wu Y.
- Hu Y.
- Kaas Q.
- Craik D.J.
- McIntosh J.M.
- Luo S.
Key residues in the nicotinic acetylcholine receptor β2 subunit contribute to α-conotoxin LvIA binding.
). By contrast, we found that for human α6/α3β4 nAChRs, mutation of β4
Leu-119 to Gln decreased the potency of PeIA by ∼10-fold, and mutation to Phe had no effect (
Fig. 5A and
Table 4). These results initially suggested that Phe can substitute for Leu in position 119 with respect to PeIA binding and might offer a “protective” effect against the reduction in potencies observed with the [P13A]PeIA and [P13R]PeIA analogs because the IC
50 values for [P13A]PeIA and [P13R]PeIA on human α6/α3β2β3 nAChRs are unchanged relative to native PeIA (
Fig. 10B and
Table 6). However, when [P13A]PeIA and [P13R]PeIA were tested on the human α6/α3β4
L119F mutant, the loss of PeIA potency was similar to that found for nonmutated receptors (
Fig. 10A and
Table 6). Additionally, the rat α6/α3β4
Q119F mutant as well as the α6/α3β4
Q119L mutant also showed lower sensitivity to [P13R]PeIA and [P13Q]PeIA (
Fig. 11 (
B and
C) and
Table 7). These results suggest that position 119 of human β2 and β4 and rat β4 are not equivalent with respect to ligand binding even when the same amino acid is present (by mutation) in the receptor. Additional evidence for the nonequivalency of position 119 for ligand binding was obtained with PnIA. There was no difference in PnIA potency between human α6/α3β4 and the α6/α3β4
L119F mutant and, consequently, no change in the ability of PnIA to discriminate between human α6/α3β2β3 and α6/α3β4 nAChRs (
Fig. 10C and
Table 6). However, PnIA showed substantially increased potency on rat α6/α3β4
Q119F and α6/α3β4
Q119L mutants (
Fig. 11A and
Table 7). In summary, the results of these receptor and ligand mutation studies argue for species- and subtype-specific ligand–receptor interactions that are context-dependent. Therefore, we urge caution directly comparing ligand–receptor interactions among species as well as generalizing results obtained for different nAChR subtypes of the same species. Furthermore, the fact that both PeIA and PnIA have a Pro residue in position 13 but only PnIA shows differential potencies for mutant rat, but not human, α6/α3β4 nAChRs also argues for caution when generalizing interactions between receptor residues and residues of different α-Ctxs.
The α6β4 subtype is an emerging, novel target for the treatment of neuropathic pain, but very little information is available concerning the interaction of ligands with this subtype at the molecular level. Ligands selective for α6β4 nAChRs might be critical to avoid off-target effects that can occur due to interactions with closely related subtypes, particularly α3β4. In this study, we have identified β4Leu-119 as an important residue of the human β4 subunit that interacts with α-Ctxs. To our knowledge, this is the first report to functionally identify this key interaction. The information contained in this study might ultimately guide the design of ligands that target α6β4 nAChRs for the treatment of neuropathic pain.
Experimental procedures
Oocyte two-electrode voltage-clamp electrophysiology
Xenopus laevis frogs were obtained from
Xenopus Express (RRID:SCR_016373). Protocols for the isolation of oocytes from the frogs were approved by the University of Utah institutional animal care and use committee. Methods describing the preparation of cRNA encoding human and rat nAChR subunits for expression of nAChRs in
Xenopus oocytes have been described previously (
44- Hone A.J.
- McIntosh J.M.
- Azam L.
- Lindstrom J.
- Lucero L.
- Whiteaker P.
- Passas J.
- Blázquez J.
- Albillos A.
α-Conotoxins identify the α3β4* subtype as the predominant nicotinic acetylcholine receptor expressed in human adrenal chromaffin cells.
). The human and rat α6/α3 constructs were generated by replacing the extracellular ligand-binding domain of the α3 subunit with that of the α6 subunit as described previously (
47- Kuryatov A.
- Olale F.
- Cooper J.
- Choi C.
- Lindstrom J.
Human α6 AChR subtypes: subunit composition, assembly, and pharmacological responses.
,
48- McIntosh J.M.
- Azam L.
- Staheli S.
- Dowell C.
- Lindstrom J.M.
- Kuryatov A.
- Garrett J.E.
- Marks M.J.
- Whiteaker P.
Analogs of α-conotoxin MII are selective for α6-containing nicotinic acetylcholine receptors.
). These constructs were used because injection of oocytes with cRNAs encoding human α6 and β4 subunits resulted in no functionally expressed receptors across multiple donors (data not shown). The rat α6/α3 construct was used for comparison and has been previously shown to display similar sensitivities to α-Ctxs compared with nonmutated α6 (
49- Hone A.J.
- Scadden M.
- Gajewiak J.
- Christensen S.
- Lindstrom J.
- McIntosh J.M.
α-Conotoxin PeIA[S9H,V10A,E14N] potently and selectively blocks α6β2β3 versus α6β4 nicotinic acetylcholine receptors.
). Preliminary experiments varying the ratio of rat α6/α3 to β4 subunit cRNAs by 10:1 or 1:10 to favor the formation of receptors with different stoichiometries had no effect on PeIA potency (data not shown). In all subsequent experiments, the oocytes were injected with equal ratios of cRNA for all subunit combinations.
Data analysis
Concentration–response data were obtained from a minimum of four oocytes. α-Ctx concentrations of ≤1 μm were applied to the oocyte by continuous perfusion, and the ACh responses in the presence of the α-Ctxs were normalized to the average of at least three control responses. α-Ctxs were applied only after the ACh response-to-response variation was <10%. The variance of the responses is provided as the ±S.D. and shown with error bars. α-Ctxs were routinely retested on oocytes from different donors to ensure data reproducibility. To estimate the IC50 value for inhibition of the ACh responses by a given α-Ctx, the normalized data were analyzed by nonlinear regression and fit using a four-parameter logistic equation in Prism (RRID:SCR_002798) (GraphPad Software Inc., La Jolla, CA). The IC50 values are presented with corresponding 95% confidence intervals to evaluate the precision of the IC50 estimate. Although in many cases, the confidence intervals are nonoverlapping, for the purposes of this study, the difference between two IC50 values is considered significant if ≥3-fold. For α-Ctx–receptor combinations where inhibition by the maximal α-Ctx concentration tested was less than ∼40%, the response after a 5-min static bath exposure to 10 μm α-Ctx was compared with control response, and the means were compared using a one-way analysis of variance and Fisher’s least significant difference to determine significance. Significance was determined at the 95% level (p < .05). Concentration–response curves for activation of nAChRs were obtained according to the following procedures. ACh was applied in ascending concentrations, and the current amplitudes for each individual oocyte were analyzed by nonlinear regression and fit using a four-parameter logistic equation in Prism to obtain the calculated plateau value for activation. All ACh-evoked responses were then normalized to the calculated plateau value to obtain a percentage response and then analyzed with the same four-parameter logistic equation. Data for the ACh curves were collected using oocytes from three different donors to ensure reproducibility. Acetylcholine chloride (catalog no. A6625), potassium chloride (catalog no. P3911), and BSA (catalog no. A2153) were purchased from Sigma-Aldrich. Sodium chloride (catalog no. S271), calcium chloride dihydrate (catalog no. C79), magnesium chloride hexahydrate (catalog no. M33), sodium hydroxide (catalog no. S313), and HEPES (catalog no. BP310) were purchased from Fisher Scientific.
Site-directed mutagenesis of α6/α3 and β4 subunits
cDNAs for human α6/α3 and human and rat β4 subunits in the pGEMHE vector were used as starting templates. cDNAs for rat α6/α3 were in the pT7TS vector. Oligonucleotide primers were designed to individually span positions 177 of the α6/α3 subunit and 110, 118, and 119 of the β4 subunit and included nucleotide substitutions to mutate each respective amino acid residue. The double mutant constructs were made using a single primer pair that mutated positions 118 and 119 in the same PCR. All oligonucleotides were synthesized by the DNA/Peptide Facility, part of the Health Sciences Center Cores at the University of Utah. Pfu Turbo (catalog no. 600250) DNA polymerase (Agilent Technologies, Santa Clara, CA) was used to extend the primers. The PCR conditions were as follows: 95 °C for 120 s for denaturation followed by 30 cycles of 95 °C for 30 s, 65–78 °C (depending on the primers used) for 7 min, 72 °C for 60 s, and a final extension step for 10 min at 72 °C. The reaction was then digested with DpnI (catalog no. R0176S) to remove template cDNA (New England Biolabs, Ipswich, MA). Chemically competent DH5α (New England Biolabs, catalog no. C2987I) or 10-β (New England Biolabs, catalog no. C3019I) cells were used for transformation. The cells were grown at 37 °C for 1 h after transformation and then plated on agar plates containing ampicillin and maintained at 37 °C overnight. Several colonies were selected from each plate and individually grown overnight at 37 °C in Luria–Bertani medium containing ampicillin (Fisher Scientific, catalog no. BP1760). cDNA was isolated from the cells using a Qiaprep Spin Miniprep Kit (catalog no. 27104) (Qiagen, Valencia, CA) followed by sequencing at the University of Utah DNA Sequencing Core Facility to verify incorporation of the mutations. cDNAs for human α6/α3 and human and rat β4 were linearized overnight at 37 °C using the restriction enzyme NheI (New England Biolabs, catalog no. R0131S), and rat α6/α3 cDNA was linearized using SalI (New England Biolabs, catalog no. R0138T) using the same protocol. Following linearization, the cDNAs were purified and eluted with water using the Qiaquick PCR purification kit (Qiagen, catalog no. 28104). cRNA was then prepared from the linearized cDNA using Ambion’s mMESSAGE mMACHINE T7 Transcription Kit (Fisher Scientific, catalog no. AM1344) and purified using a Qiagen RNeasy Mini Kit (Qiagen, catalog no. 74104).
Peptide synthesis
The synthesis of α-Ctxs TxIB, [P13Q]PeIA, and [P13R]PeIA was performed according to methods described previously (
40- Hone A.J.
- Ruiz M.
- Scadden M.
- Christensen S.
- Gajewiak J.
- Azam L.
- McIntosh J.M.
Positional scanning mutagenesis of alpha-conotoxin PeIA identifies critical residues that confer potency and selectivity for α6/α3β2β3 and α3β2 nicotinic acetylcholine receptors.
). Synthesis of α-Ctxs PnIA, PeIA, [P13A]PeIA, and [P13O]PeIA was performed as described by Cartier
et al. (
50- Cartier G.E.
- Yoshikami D.
- Gray W.R.
- Luo S.
- Olivera B.M.
- McIntosh J.M.
A new α-conotoxin which targets alpha3beta2 nicotinic acetylcholine receptors.
). Correct synthesis of [P13Q]PeIA and [P13R]PeIA was verified by matrix-assisted laser desorption TOF MS. The calculated monoisotopic masses for [P13Q]PeIA and [P13R]PeIA are 1682.63 and 1710.67 Da, and the observed masses were 1682.74 and 1710.81 Da, respectively.
X-ray crystallography
The AChBP from
A. californica was expressed and purified as described previously (
51- Hansen S.B.
- Sulzenbacher G.
- Huxford T.
- Marchot P.
- Taylor P.
- Bourne Y.
Structures of Aplysia AChBP complexes with nicotinic agonists and antagonists reveal distinctive binding interfaces and conformations.
,
52- Talley T.T.
- Yalda S.
- Ho K.Y.
- Tor Y.
- Soti F.S.
- Kem W.R.
- Taylor P.
Spectroscopic analysis of benzylidene anabaseine complexes with acetylcholine binding proteins as models for ligand-nicotinic receptor interactions.
). Briefly, AChBP was expressed with an N-terminal FLAG epitope tag and secreted from stably transfected human embryonic kidney 293S cells lacking the
N-acetyglucosaminyltransferase I (GnTI
−) gene (
53- Reeves P.J.
- Callewaert N.
- Contreras R.
- Khorana H.G.
Structure and function in rhodopsin: high-level expression of rhodopsin with restricted and homogeneous N-glycosylation by a tetracycline-inducible N-acetylglucosaminyltransferase I-negative HEK293S stable mammalian cell line.
). The protein was purified with FLAG antibody resin and eluted with FLAG peptide (Sigma-Aldrich, catalog no. F3290). Affinity-purified protein was further characterized by size-exclusion chromatography in a Superdex 200 16/60 gel filtration column (GE Healthcare) in 25 m
m Tris-HCl (pH 7.4), 150 m
m NaCl, and 0.02% NaN
3 (w/v). From this process, the pentameric association could be ascertained, and monomeric subunits and trace contaminants could be removed. Purified AChBP pentamers were then concentrated using a Millipore YM50 Centricon ultrafiltration unit (Fisher Scientific) to a final concentration of ∼5 mg/ml.
Complex formation and crystallization
The PeIA–AChBP complex was formed by dissolving 10 μmol of lyophilized PeIA with 50 μl of purified and concentrated protein at a concentration of 5 mg/ml. The PeIA–AChBP complex co-crystals were obtained by the vapor-diffusion hanging-drop method. Concentrated protein complex was mixed in a 1 μl:1 μl solution consisting of 0.1 m Tris-HCl (pH 8.0), 0.25 m MgCl2, 20% (w/v) PEG 4000, incubated at 22 °C, and suspended over 500 μl of the same solution. Crystals of 0.3 × 0.3 × 0.2 mm final size appeared after a few weeks.
X-ray diffraction data collection
PeIA–AChBP complex co-crystals were transferred to a cryoprotectant solution consisting of 0.1
m Tris-HCl (pH 8.0), 0.25
m MgCl
2, 12% (w/v) PEG 4000, and 10% (v/v) glycerol and flash-cooled in liquid nitrogen. A full set of X-ray diffraction data were collected at 278 °C at beamline 8.2.1 (Advanced Light Source, Berkeley, CA). Diffraction data were processed and scaled using HKL2000 (
54Processing of X-ray diffraction data collected in oscillation mode.
). Final data statistics are given in
Table S1.
Structure refinement
The PeIA–AChBP complex structure was solved by the molecular replacement method using PHASER (
55- Storoni L.C.
- McCoy A.J.
- Read R.J.
Likelihood-enhanced fast rotation functions.
) using the AChBP/α-Ctx BuIA structure (PDB entry 4EZ1) as a search model. The electron density maps were manually fitted in COOT (
56Coot: model-building tools for molecular graphics.
) with iterative structure refinement done using phenix.refine (RRID:SCR_014224) (
57- Afonine P.V.
- Grosse-Kunstleve R.W.
- Echols N.
- Headd J.J.
- Moriarty N.W.
- Mustyakimov M.
- Terwilliger T.C.
- Urzhumtsev A.
- Zwart P.H.
- Adams P.D.
Towards automated crystallographic structure refinement with phenix.refine.
), resulting in a final model with
Rwork and
Rfree of 19.6 and 22.8%, respectively. Refinement statistics are listed in
Table S1. Atomic coordinates and structure factors have been deposited in the PDB (entry 5JME). Cartoon representations of the structures were generated using PyMOL (RRID:SCR_000305) (
58The PyMOL Molecular Graphics System.
). It should be noted that there was density for a fifth PeIA in the data obtained. However, although the density clearly showed the position of the peptide backbone, it was not sufficient for accurate positioning of the side chains. Out of an abundance of caution, it was decided to omit the final toxin chain to avoid any possible misinterpretation.
NMR spectroscopy and structure calculations
Peptide samples (1.0 mg) were dissolved in 550 μl of 10% D
2O, 90% H
2O (pH ∼3), and spectra were recorded on a Bruker Advance III 600-MHz spectrometer equipped with a cryoprobe. Data were collected at 290 K using TOCSY, NOESY H-N HSQC, and H-C HSQC experiments. Spectra were acquired with mixing times of 80 ms (TOCSY) or 200 ms (NOESY) and 4,096 data points in F2 and 512 in F1. Chemical shifts were referenced to internal 2,2-dimethyl-2-silapentane-5-sulfonate at 0 ppm. Spectra were processed with Topspin version 3.5 (Bruker Biospin) and assigned using the program CcpNmr Analysis (
59- Vranken W.F.
- Boucher W.
- Stevens T.J.
- Fogh R.H.
- Pajon A.
- Llinas M.
- Ulrich E.L.
- Markley J.L.
- Ionides J.
- Laue E.D.
The CCPN data model for NMR spectroscopy: development of a software pipeline.
). Structure calculations of [P13A]PeIA were based upon distance restraints derived from NOESY spectra and on backbone dihedral angle restraints generated using TALOS+ (
60- Shen Y.
- Delaglio F.
- Cornilescu G.
- Bax A.
TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts.
). A family of 20 lowest-energy structures consistent with the experimental restraints was calculated using CYANA (
61- Ikeya T.
- Terauchi T.
- Güntert P.
- Kainosho M.
Evaluation of stereo-array isotope labeling (SAIL) patterns for automated structural analysis of proteins with CYANA.
) and assessed using Molprobity (RRID:SCR_014226) (
62- Chen V.B.
- Arendall 3rd, W.B.
- Headd J.J.
- Keedy D.A.
- Immormino R.M.
- Kapral G.J.
- Murray L.W.
- Richardson J.S.
- Richardson D.C.
MolProbity: all-atom structure validation for macromolecular crystallography.
). Experimental restraints and stereochemical quality assessment outcomes are provided in
Table S2.
Author contributions
A. J. H., T. T. T., and J. M. M. conceptualization; A. J. H., T. T. T., J. B., J. B. G., and P. J. H. data curation; A. J. H., T. T. T., J. B., J. B. G., S. B. C., P. J. H., and D. J. C. formal analysis; A. J. H., T. T. T., J. B., J. B. G., S. B. C., P. J. H., and D. J. C. validation; A. J. H., T. T. T., J. B., C. H. M., F. H., J. B. G., S. B. C., and P. J. H. investigation; A. J. H. and T. T. T. methodology; A. J. H., T. T. T., D. J. C., and J. M. M. writing-original draft; A. J. H., T. T. T., D. J. C., and J. M. M. writing-review and editing; T. T. T., S. B. C., D. J. C., and J. M. M. supervision; T. T. T., D. J. C., and J. M. M. funding acquisition; T. T. T., D. J. C., and J. M. M. project administration.