Literature DB >> 28278376

Stapled Voltage-Gated Calcium Channel (CaV) α-Interaction Domain (AID) Peptides Act As Selective Protein-Protein Interaction Inhibitors of CaV Function.

Felix Findeisen, Marta Campiglio, Hyunil Jo, Fayal Abderemane-Ali, Christine H Rumpf, Lianne Pope, Nathan D Rossen, Bernhard E Flucher, William F DeGrado, Daniel L Minor1.   

Abstract

For many voltage-gated ion channels (VGICs), creation of a properly functioning ion channel requires the formation of specific protein-protein interactions between the transmembrane pore-forming subunits and cystoplasmic accessory subunits. Despite the importance of such protein-protein interactions in VGIC function and assembly, their potential as sites for VGIC modulator development has been largely overlooked. Here, we develop meta-xylyl (m-xylyl) stapled peptides that target a prototypic VGIC high affinity protein-protein interaction, the interaction between the voltage-gated calcium channel (CaV) pore-forming subunit α-interaction domain (AID) and cytoplasmic β-subunit (CaVβ). We show using circular dichroism spectroscopy, X-ray crystallography, and isothermal titration calorimetry that the m-xylyl staples enhance AID helix formation are structurally compatible with native-like AID:CaVβ interactions and reduce the entropic penalty associated with AID binding to CaVβ. Importantly, electrophysiological studies reveal that stapled AID peptides act as effective inhibitors of the CaVα1:CaVβ interaction that modulate CaV function in an CaVβ isoform-selective manner. Together, our studies provide a proof-of-concept demonstration of the use of protein-protein interaction inhibitors to control VGIC function and point to strategies for improved AID-based CaV modulator design.

Entities:  

Keywords:  AID:CaVβ interaction; Voltage-gated calcium channel (CaV); X-ray crystallography; electrophysiology; protein−protein interaction antagonist; stapled peptide

Mesh:

Substances:

Year:  2017        PMID: 28278376      PMCID: PMC5481814          DOI: 10.1021/acschemneuro.6b00454

Source DB:  PubMed          Journal:  ACS Chem Neurosci        ISSN: 1948-7193            Impact factor:   4.418


Introduction

Voltage-gated ion channels (VGICs) control electrical signaling in the brain, heart, and nervous system.[1] Many members of this protein superfamily are multiprotein complexes comprising both transmembrane pore-forming subunits and cytoplasmic regulatory subunits.[2] VGIC cytoplasmic subunits can exert strong control over channel function by conferring distinct biophysical properties to the resulting channel complex and by affecting channel biogenesis and plasma membrane trafficking.[1,3−5] Although the importance of such subunits for VGIC function is well established, with the exception of a few cases,[6−9] their potential as targets for the development of agents that could control channel function has been largely overlooked.[10−12] Protein–protein interaction antagonists have been shown to be effective modulators of diverse protein classes[13−17] but have not yet been developed and validated for any ion channel system. Hence, we asked whether we could advance this type of reagent against the exemplar VGIC high-affinity protein–protein interaction formed between the voltage-gated calcium channel pore-forming CaVα1 and cytoplasmic CaVβ subunits for which there is a wealth of structural information to guide design.[18] High-voltage CaVs (CaV1s and CaV2s) are the principal agents of calcium influx in excitable cells, are vital components of the machinery that regulates muscle contraction, vascular tone, hormone and neurotransmitter release, and synaptic function, and provide a prototypical example of the pivotal role of cytoplasmic subunits in VGIC function.[1,19−21] CaV1s and CaV2s are made from at least four main components:[18,22,23] a CaVα1 pore forming subunit, a cytoplasmic CaVβ subunit,[20,21] the extracellular CaVα2δ subunit,[24] and a calcium sensor protein, such as calmodulin.[25] The CaVα1:CaVβ interaction is central to the formation of properly functioning native CaVs,[20,21] controls CaV trafficking to the plasma membrane,[3,26−30] and affects a number of CaV biophysical properties including voltage-dependent activation and the rate of channel inactivation.[20,21,31−39] CaVα1 and CaVβ associate through a high affinity (Kd approximately nanomolar)[40−45] interaction between a short peptide segment on the CaV intracellular I–II loop, known as the α-interaction domain (AID), and a groove in CaVβ termed the α-binding pocket (ABP).[20,46−49] CaVs are validated targets for drugs treating cardiovascular diseases, epilepsy, and chronic pain.[19,50] Well-studied modifiers of CaV function such as small molecule drugs and peptide toxins largely target the pore-forming subunit.[19,50−52] Because of the central role of the AID:ABP protein–protein interaction in CaV function, there has been an interest in establishing whether interfering with this interaction might provide an alternative strategy for CaV modulation.[45,53] Previous studies suggesting that the CaVα1:CaVβ interaction is labile[54−57] and studies showing that blocking CaVβ action is a productive means to affect CaV function[8,9] support such an approach. Because, stapled-peptide strategies have been particularly effective at targeting protein–protein interactions in which one partner is single α-helix,[17,58] such as in the AID:ABP case, we pursued the stapled-peptide strategy to develop AID-based inhibitors of the AID:ABP interaction and CaV function. Previously, we and others demonstrated that chemical cross-linking of i and i + 4 cysteines could be useful for α-helical peptide stabilization.[59,60] Here, we expand this cysteine cross-linking strategy to constrain an N-terminal capping motif[61,62] appended to the AID. Our studies demonstrate that stapling AID peptides with a meta-xylyl bridge[59,63] between two engineered cysteines creates AID peptides having enhanced helical content that bind CaVβ in a native-like manner. We find that the macrocyclic constrained cap acts as an effective means to enhance helix content and that, importantly, the enhanced AID peptide is a potent inhibitor of CaV currents that causes CaVβ isoform-specific inhibition of the AID:ABP interaction.

Results

AID Backbone Modifications Increase α-Helical Content of AID

Structural studies have shown that there is essentially no conformational change between the apo- and AID-bound CaVβ ABP.[46−48] By contrast, the CaV AID peptide undergoes a large conformational change between an unbound disordered state and the CaVβ-bound helical conformation.[45,47,64,65] This binding event involves a substantial entropic penalty, approximately −14 cal mol–1 K–1,[45] that due to the essentially unchanged structure of the ABP must arise from the entropic cost of ordering the AID. In order to overcome this problem, we pursued a chemical stabilization strategy to enhance the helical structure of the AID unbound state (Figure A).
Figure 1

Backbone staples increase AID helical content. (A) Schematic showing the conformational ensemble of the native AID (top) versus the desired effect of incorporating the m-xylyl backbone staple. (B) AID, AID-CAP, and AID-CEN peptide sequences. The capping box residues are highlighted in red. Underline denotes m-xylyl linker cross-linking positions. (C) Circular dichroism spectra of AID (black), AID-CAP (blue), and AID-CEN (orange) at 70 μM and 4 °C.

Backbone staples increase AID helical content. (A) Schematic showing the conformational ensemble of the native AID (top) versus the desired effect of incorporating the m-xylyl backbone staple. (B) AID, AID-CAP, and AID-CEN peptide sequences. The capping box residues are highlighted in red. Underline denotes m-xylyl linker cross-linking positions. (C) Circular dichroism spectra of AID (black), AID-CAP (blue), and AID-CEN (orange) at 70 μM and 4 °C. Previously, we and others demonstrated that introduction of m-xylyl linker between two cysteines (i, i + 4) by thiol alkylation[63] could be used to stabilize the α-helical conformation in peptides.[59,60] This cysteine alkylation strategy has the advantage of not requiring unnatural amino acids. To date, all strategies for stapled peptide synthesis have focused on introduction of linkers along one α-helix face, an approach that can buttress the structure but that does not restrain the α-helix polar ends. To address this issue, we introduced an N-terminal capping motif[61,62] into two AID peptides, AID-CAP and AID-CEN (Figure B). This capping motif includes an NCap position serine intended to stabilize the structure through hydrogen bonds to the exposed amide protons at the helix N-terminus, an N1 position proline to act as a helix initiator, and an N3 position glutamate placed to contribute hydrogen bonds to the NCap serine and amide backbone (Figure B). In the case of AID-CAP, two cysteines were included to make a macrocyclic capping box sequence, Cys-Ser-Pro-Leu-Glu-Cys, in which the cysteine residues should allow facile macrocyclization with m-xylyl bromide (Figure B). AID-CEN bears an unconstrained capping motif and a more conventional (i, i + 4) cross-linking motif within the helix (K435C and D439C) (Figure B). In both peptides, cysteine positions for staple attachment were chosen to reside on the exposed AID surface based on structures of the CaVβ–AID complexes in order to avoid introducing interfering interactions. Circular dichroism (CD) studies of AID-CAP and AID-CEN indicated that m-xylyl staple incorporation affected the secondary structure to different extents depending on the staple location (Figure C). The m-xylyl staple in AID-CEN caused a modest change that reduced the intensity of the signal at 208 nm relative to the unmodified AID. By contrast, AID-CAP displayed the hallmark double minima associated with α-helical structure that was absent in the unmodified AID peptide[66] and that indicates that the N-terminal cap site is a potent element for stabilizing the AID helical conformation.

X-ray Crystal Structures Show That CaVβ2a:Stapled AID Complexes Are Similar to Native Complexes

To investigate the structural integrity of the backbone staple designs, we crystallized and determined the structure of AID-CAP and AID-CEN bound to a unimolecular CaVβ2a construct previously used for extensive CaVβ2a:AID thermodynamic binding studies.[45] Crystals of the AID-CAP complex grew in the H3 space group having one molecule in the asymmetric unit and diffracted X-rays to 1.9 Å (Table S1). Structure solution by molecular replacement (R/Rfree= 18.5/23.0%) revealed a CaVβ2a:AID structure similar to that determined previously for the unconstrained AID[48] (RMSDCα = 1.2 Å) (Figure A) except for a few minor differences. The CaVβ2a α1 helix is longer by ten residues (Figure S1A), and there is a moderate divergence in the angle of the α2 helix. This element precedes the disordered V2/HOOK domain and extends from the SH3 domain far from the AID binding site (Figure S1A) and is affected by crystal lattice contacts. Excluding the α2 helix from the comparison, the structures of the CaVβ2a:AID- and CaVβ2a:AID-CAP complexes are essentially identical (RMSDCα= 0.55 Å over residues 43–127, 217–273, 295–414).
Figure 2

Crystal structures of CaVβ2a:stapled peptide complexes. (A) Structure of the CaVβ2a:AID-CAP complex. CaVβ2a (cyan) is shown in surface rendering. AID-CAP (deep teal) is shown as a cartoon having side chains shown as sticks. Locations of the AID-CAP and ABP, nucleotide kinase (NK) and SH3 domains of CaVβ2a are indicated. (B) 2Fo – Fc electron density (1.0σ) for the AID-CAP m-xylyl staple. Select AID-CAP residues are indicated. (C) Structure of the CaVβ2a:AID-CEN complex. CaVβ2a (yellow orange) is shown in surface rendering. AID-CEN (orange) is shown as a cartoon having side chains shown as sticks. Locations of the AID-CEN and ABP, nucleotide kinase (NK), and SH3 domains of CaVβ2a are indicated. (D) 2Fo – Fc electron density (1.0σ) for the AID-CEN m-xylyl staple. Select AID-CAP residues are indicated.

Crystal structures of CaVβ2a:stapled peptide complexes. (A) Structure of the CaVβ2a:AID-CAP complex. CaVβ2a (cyan) is shown in surface rendering. AID-CAP (deep teal) is shown as a cartoon having side chains shown as sticks. Locations of the AID-CAP and ABP, nucleotide kinase (NK) and SH3 domains of CaVβ2a are indicated. (B) 2Fo – Fc electron density (1.0σ) for the AID-CAP m-xylyl staple. Select AID-CAP residues are indicated. (C) Structure of the CaVβ2a:AID-CEN complex. CaVβ2a (yellow orange) is shown in surface rendering. AID-CEN (orange) is shown as a cartoon having side chains shown as sticks. Locations of the AID-CEN and ABP, nucleotide kinase (NK), and SH3 domains of CaVβ2a are indicated. (D) 2Fo – Fc electron density (1.0σ) for the AID-CEN m-xylyl staple. Select AID-CAP residues are indicated. The structure of the CaVβ2a:AID-CAP complex (Figure A) reveals that the AID-CAP peptide binds to the α-binding pocket (ABP) in a manner that is identical to the wild-type AID (Figure S1A) using the main hydrophobic anchors Tyr437, Trp440, and Ile441 and interactions with two buried water molecules coordinated by the side chain of Ty437 (Figure S1B).[45−48] The m-xylyl linker connecting the i → i + 5 cysteines was clearly visible in the electron density (Figure B). This moiety makes no interactions with CaVβ, indicating that its effects are only on the AID conformational properties as intended. The N-terminal AID-CAP residue, Cys427, adopts a nonhelical conformation that occupies the β-backbone conformation portion of the Ramachandran plot. Subsequent residues form a regular α-helix. Within the m-xylyl stabilized region, the Glu431 side chain contacts the backbone nitrogen of Ser428, satisfying the backbone requirement for this otherwise free functional group and the intention of the sequence design. The cysteine members of the m-xylyl staple, Cys427 and Cys432, have side chain χ1 angles of (+60°) and meta (−180°), respectively, resulting in a 5.9 Å distance between the Cys427 and Cys432 sulfurs that allows for unstrained connection through the meta-xylene functional group. We also obtained crystals of the CaVβ2a:AID-CEN complex that grew in the P212121 spacegroup, diffracted X-rays to 1.8 Å, and the structure was solved by molecular replacement (R/Rfree = 15.8/19.6%) (Figure C, Table S1). In this structure, CaVβ2a has an extended C-tail (residues 417–425) (Figure S1A), but otherwise, the CaVβ2a component is essentially unchanged from the CaVβ2a core[48] (RMSDCα = 0.4 Å over residues 43–127, 217–273, 295–414) or CaVβ2a in the CaVβ2a:AID-CAP complex (Figure C, RMSDCα = 0.4 Å over residues 43–127, 217–273, 295–414). As with the CaVβ2a:AID-CAP complex, the AID-CEN backbone forms a regular α-helix and the CaVβ2a:AID-CEN interaction is unaltered from the native structure (Figure S1B). Density for the i → i + 4 m-xylyl backbone staple was well resolved (Figure D) and shows that, similar to the situation with AID-CAP, the m-xylyl staple plays no direct role in in CaVβ binding. The cysteine anchors for the m-xylyl staple, Cys435 and Cys439, have side chain χ1 angles of −180° and −161°, respectively. This conformation leads to a 6.5 Å distance between the Cys435 and Cys439 sulfurs. The ∼20° deviation from the regular low energy conformers of Cys439 suggests that there is a small energetic cost for liganding the anchor atoms at a 6.5 Å distance. Comparison of the N-terminal capping motifs in the CaVβ2a:AID-CAP and CaVβ2a:AID-CEN complexes shows that the designed hydrogen bond network among the NCap, N2, N3, and N4 positions is well formed in the presence of the AID-CAP m-xylyl staple (Figure S1C). This network is also present in the unconstrained capping motif in AID-CEN but has longer hydrogen bonds and slightly different interactions for Glu431 (Figure S1D). Together, the structural data demonstrate that the m-xylyl staple is compatible with the helical conformation of the AID and in the case of AID-CAP helps to organize the N-terminal capping motif.

AID Helix Staples Lower the Entropic Cost of Ligand Binding

Having determined that the backbone staples are able to affect AID helix content (Figure ) and are structurally compatible with the CaVβ-AID interaction (Figure ), we used isothermal titration calorimetry (ITC) to investigate whether the AID staples impacted binding thermodynamics. Experiments measuring CaV1.2 AID binding to the CaVβ2a core yielded an affinity in good agreement with prior measurements Kd = 6.6 ± 2.0 nM vs 5.3 nM[45] (Figure A, Table ). This binding reaction is driven by a favorable enthalpic component (ΔH = −15.6 ± 2.4 kcal mol–1) that is opposed by a large entropic cost (ΔS = −16.7 ± 6.0 cal mol–1 K–1) that most likely results from the requirement to reduce the degrees of freedom of the highly disordered ligand upon binding.
Figure 3

Backbone modifications decrease entropic cost of CaVβ2a binding. Exemplar ITC titrations for (A) 20 μM AID into 2 μM CaVβ2a, (B) 20 μM AID-CEN into 2 μM CaVβ2a core, and (C) 20 μM AID-CAP-peptide into 2 μM CaVβ2a.

Table 1

AID Peptide:CaVβ2a Thermodynamic Binding Parameters

AID peptidenKd (nM)NΔH (kcal mol–1)ΔS (cal mol–1 K–1)Kd/Kd CaV1.2 AID
Cav1.2 AID36.6 ± 2.00.94 ± 0.07–15.6 ± 2.4–16.7 ± 6.01
AID-CEN25.2 ± 1.51.05 ± 0.03–10.2 ± 0.12.2 ± 0.50.79 ± 0.33
AID-CAP35.1 ± 1.61.02 ± 0.10–12.3 ± 1.4–4.6 ± 4.10.77 ± 0.34
Backbone modifications decrease entropic cost of CaVβ2a binding. Exemplar ITC titrations for (A) 20 μM AID into 2 μM CaVβ2a, (B) 20 μM AID-CEN into 2 μM CaVβ2a core, and (C) 20 μM AID-CAP-peptide into 2 μM CaVβ2a. ITC measurements with AID-CEN and AID-CAP revealed that both peptides bind CaVβ2a with affinities similar to wild-type AID, 5.2 ± 1.5 and 5.1 ± 1.6 nM, respectively (Figure B,C, Table ) but that incorporation of the m-xylyl moiety affects the thermodynamic binding parameters of the CaVβ2a:AID interaction. Consistent with the incorporation of the m-xylyl staple and decrease in random coil as seen by CD (Figure ), the entropic cost of complex formation was reduced relative to the wild-type for both stapled peptides (ΔS = 2.2 ± 0.5 and −4.6 ± 4.1 cal mol–1 K–1 for AID-CEN and AID-CAP, respectively). However, this reduction of the unfavorable entropic component was offset by a binding enthalpy reduction (ΔH = −10.2 ± 0.1 and −12.3 ± 1.4 kcal mol–1, AID-CEN and AID-CAP, respectively). Because neither m-xylyl staple contributes to the AID:ABP interaction and there are no obvious changes in ABP interaction site contacts (Figure S1A,B), this result appears to be an example of enthalpy–entropy compensation[67] and may originate in the loss of some of the favorable enthalpy of helix formation[68] due to the preordering of the helical structure in the unbound state. Even though the effects of enthalpy–entropy compensation left the binding affinity unaffected, the data demonstrate that the inclusion of the staple was effective at reducing the disorder of the unbound AID as designed.

Stapled AID Peptides Compete with Mutant but Not Wild-type CaV1.2:CaVβ2a Complexes

Because AID-CAP and AID-CEN had similar affinities for CaVβ but the AID-CAP had the highest amount of helical structure, we focused on testing whether AID-CAP could affect CaV function. CaVβ binding to the pore-forming CaVα1 subunit AID is known to cause clear changes to channel gating properties, such as the extent and speed of inactivation and the channel activation potential (V1/2).[20,45,64] We were concerned that the tight interaction between CaVα1 and CaVβ subunits might be difficult to compete with an exogenous peptide, particularly because the CaV1.2:CaVβ2a interaction has been shown to be long-lived unless it is weakened by ABP–AID interface mutations.[69] Hence, we first performed competition experiments using a CaVα1 subunit bearing an AID mutation that lowers the CaVβ affinity by ∼1000-fold (Y437A, Kd = 5.3 vs 5263 nM for wild-type and Y437A, respectively[45]). To test the ability of AID peptides to interfere with CaV function, we measured the response of preassembled, functional, plasma membrane CaV complexes expressed in Xenopus oocytes to competitor peptides (Figure ), similar to the approach we used previously to uncover the direct competition between calcium sensor proteins on CaVs.[70] Two principal inactivation processes govern CaV function, voltage-dependent inactivation (VDI)[71,72] and calcium-dependent inactivation (CDI).[25,72,73] Because VDI is essentially absent with CaVβ2a[20] and CDI requires CaVβ,[64] we measured CDI over the course of 30 min postinjection to monitor functional consequences of AID peptide injection on CaVβ2a containing channels (Figure ).
Figure 4

Schematic of AID peptide competition experiment. Xenopus oocytes expressing CaV channels (complexes of CaV1.2 (black lines), CaVβ (purple), CaVα2δ (gray lines), and CaM (red) (left) are injected with AID-CAP peptide at t = 0 and initial channel properties are recorded using two-electrode voltage clamp). Panels show two possible outcomes. Resistant complexes have no changes in channel biophysical properties (orange vs black lines). Labile channel complexes in which the AID competitor peptide can capture released CaVβ leaving an unoccupied I–II loop (purple) show biophysical changes. For simplicity, changes in channel current amplitude, an additional possible outcome for labile complexes, is not depicted.

Schematic of AID peptide competition experiment. Xenopus oocytes expressing CaV channels (complexes of CaV1.2 (black lines), CaVβ (purple), CaVα2δ (gray lines), and CaM (red) (left) are injected with AID-CAP peptide at t = 0 and initial channel properties are recorded using two-electrode voltage clamp). Panels show two possible outcomes. Resistant complexes have no changes in channel biophysical properties (orange vs black lines). Labile channel complexes in which the AID competitor peptide can capture released CaVβ leaving an unoccupied I–II loop (purple) show biophysical changes. For simplicity, changes in channel current amplitude, an additional possible outcome for labile complexes, is not depicted. One functional signature of the interaction of CaV1.2 with CaVβ2a is the extent and speed of inactivation, which are more complete and faster, respectively, in the presence of CaVβ2a (Table ). Prior to peptide injection, CaV1.2-Y437A:CaVβ2a channels were essentially functionally identical to wild-type CaV1.2:CaVβ2a channels (Table ). Within 30 min of injection of 400 μM AID or AID-CAP peptides, we observed substantial and similar changes from both peptides with respect to the extent of channel inactivation 300 ms after activation (ti300) (ti300 decreased from 64.9% ± 1.9% to 44.8% ± 2.1% and 65.5% ± 1.3% to 43.1% ± 3.7% for AID and AID-CAP, respectively) (Figure A–C). In fact, at 30 min after peptide injection, the extent of inactivation was indistinguishable from CaV1.2 expressed in the absence of CaVβ (ti300 = 47.9% ± 1.2%, 44.8% ± 2.1% and 43.1% ± 3.7% for no CaVβ, AID (30 min), and AID-CAP (30 min), respectively), suggesting that the peptides had interfered completely with CaVβ binding. By contrast, injection of an AID mutant peptide in which the three most important residues for binding to CaVβ were mutated to alanine (Y437A/W440A/I441A, termed “HotA”[45]) showed no specific effects on fractional inactivation and had effects indistinguishable from water injection (Figure ) (ti300 decreased from 68.8% ± 1.0% to 63.7% ± 1.3% and 67.2% ± 1.9% to 59.8% ± 2.6% for HotA and water, respectively, Figure and Table ). In addition to the ti300 changes, the fraction of the fast inactivation component decreased after injection of either AID or AID-CAP to levels similar to CaV1.2 expressed without a CaVβ subunit (Figure C).
Table 2

CaV1.2 Inactivation Parameters and GV Relationshipa

  ti300 (%)A1 (%)τ1 (ms)A2 (%)τ2 (ms)ImaxV1/2N
 CaV1.2:CaVβ2a68.4 ± 1.149.4 ± 1.925.4 ± 1.221.3 ± 1.2159.6 ± 8.4–0.411 ± 0.0548.1 ± 1.225
CaV1.2-Y437A:CaVβ2a66.0 ± 3.251.6 ± 3.731.2 ± 4.622.5 ± 3.9177.3 ± 10.9–0.816 ± 0.2377.5 ± 1.46
CaV1.2:CaVβ375.9 ± 1.170.3 ± 0.959.8 ± 2.5  –0.964 ± 0.0085.5 ± 1.420
  59.9 ± 1.933.9 ± 3.025.4 ± 1.6312.0 ± 47.7   
CaV1.2, no CaVβ47.9 ± 1.226.8 ± 3.675.5 ± 10.348.4 ± 4.8348.3 ± 41.4–0.245 ± 0.02818.1 ± 1.014
CaV1.2-Y437A:CaVβ2awater 5 min67.2 ± 1.951.9 ± 2.228.0 ± 1.519.7 ± 1.2170.5 ± 6.3–0.722 ± 0.0927.8 ± 1.35
water 30 min59.8 ± 2.642.6 ± 2.631.6 ± 2.923.7 ± 1.6200.5 ± 13.8–0.430 ± 0.07511.1 ± 1.25
HotA, 5 min68.8 ± 1.054.0 ± 1.233.2 ± 1.420.0 ± 1.3212.5 ± 16.4–1.001 ± 0.1534.7 ± 1.418
HotA, 30 min63.7 ± 1.347.2 ± 1.234.5 ± 1.722.0 ± 1.0197.9 ± 10.1–0.578 ± 0.0647.1 ± 1.118
AID-CAP, 5 min65.5 ± 1.352.7 ± 1.332.9 ± 1.718.8 ± 1.1212.6 ± 18.6–1.016 ± 0.1225.4 ± 1.416
AID-CAP, 30 min43.1 ± 3.724.8 ± 3.252.8 ± 8.238.2 ± 3.0469.8 ± 160.1–0.156 ± 0.02216.9 ± 1.015
AID, 5 min64.9 ± 1.948.5 ± 1.835.0 ± 1.524.1 ± 1.6251.5 ± 16.1–0.883 ± 0.1112.9 ± 1.710
AID, 30 min44.8 ± 2.124.5 ± 3.053.3 ± 14.431.0 ± 1.9304.0 ± 50.9–0.242 ± 0.02115.1 ± 2.010
CaV1.2:CaVβ2awater 5 min60.8 ± 1.040.0 ± 1.134.6 ± 3.927.1 ± 0.8222.8 ± 31.6–1.344 ± 0.2489.1 ± 1.85
water 30 min58.1 ± 1.438.3 ± 2.537.3 ± 3.027.1 ± 2.0227.3 ± 12.1–0.785 ± 0.07411.6 ± 0.75
HotA, 5 min66.8 ± 0.347.5 ± 1.028.4 ± 0.724.6 ± 1.0185.7 ± 2.1–0.734 ± 0.11010.5 ± 1.53
HotA, 30 min62.1 ± 0.244.4 ± 0.833.5 ± 2.324.7 ± 0.6209.5 ± 13.2–0.531 ± 0.0989.0 ± 0.53
AID-CAP 400 μM, 5 min63.7 ± 1.941.6 ± 2.533.0 ± 2.328.9 ± 1.8215.8 ± 13.2–0.966 ± 0.1549.2 ± 1.58
AID-CAP 400 μM, 30 min57.1 ± 1.633.1 ± 2.035.0 ± 1.728.6 ± 2.0209.7 ± 9.3–0.555 ± 0.13213.0 ± 1.78
AID-CAP 2.8 mM, 5 min64.6 ± 1.352.4 ± 3.129.2 ± 3.319.3 ± 2.2172.5 ± 23.4–0.984 ± 0.1427.2 ± 0.75
AID-CAP 2.8 mM, 30 min62.4 ± 2.648.1 ± 5.530.7 ± 6.027.3 ± 1.3172.2 ± 25.9–0.465 ± 0.07910.4 ± 0.75
CaV1.2:CaVβ3HotA, 5 min79.2 ± 2.279.7 ± 2.363.0 ± 2.4  –0.932 ± 0.0416.7 ± 2.95
  61.0 ± 2.438.5 ± 1.527.9 ± 0.8256.8 ± 10.8  5
HotA, 30 min77.0 ± 2.978.0 ± 2.771.4 ± 4.6  –0.577 ± 0.0698.6 ± 3.35
  56.5 ± 2.042.9 ± 4.430.0 ± 1.4241.1 ± 14.6  5
AID-CAP, 5 min73.2 ± 1.475.9 ± 1.276.2 ± 4.2  –0.889 ± 0.1356.3 ± 1.66
  57.8 ± 1.248.0 ± 3.742.0 ± 8.3639.1 ± 238.3  6
AID-CAP, 30 min48.3 ± 4.166.3 ± 5.0188.7 ± 30.2  –0.081 ± 0.02320.5 ± 2.86
  NDNDNDND   
AID, 5 min73.4 ± 2.076.9 ± 3.162.6 ± 7.6  –0.860 ± 0.09610.4 ± 2.27
  54.0 ± 2.740.0 ± 5.234.1 ± 1.4354.4 ± 119.2  7
AID, 30 min49.8 ± 1.965.0 ± 4.0118.2 ± 11.0  –0.116 ± 0.01021.0 ± 2.07
  NDNDNDND   

Data are expressed as mean values ± SEM; τ values were determined at a holding potential of +20 mV (see Materials and Methods); ti300 denotes percent inactivation at 300 ms. Imax is the maximal current amplitude. V1/2 values for CaV1.2 and mutants were determined with calcium as the charge carrier. Data were fit using the equation I = Gmax(Vm – Vrev)/(1 + exp[(V1/2 – Vm)/Ka]), where I is the measured peak current at each Vm, Gmax is the maximal macroscopic conductance, Vm is the test potential, Vrev is the reversal potential, V1/2 is the midpoint of activation, and Ka is the slope factor.[29] ND, value not determined. Italic lines highlight double exponential fit values for CaVβ3 experiments.

Figure 5

AID-CAP affects CaV1.2Y437A:CaVβ2a channels. (A) Exemplar normalized ICa traces at a test potential of +20 mV for Xenopus oocytes expressing CaV1.2-Y437A:CaVβ2a channels recorded after injection of water, 400 μM HotA, 400 μM AID-CAP, or 400 μM AID at the indicated postinjection times. Gray curves at times 10, 15, 20, 25, and 30 min show initial 5 min response. (B) Fractional inactivation after 300 ms (ti300) and (C) A1, the relative amplitude of the fast inactivation component, for CaV1.2-Y437A:CaVβ2a currents as a function of postinjection time for water (inverted black triangles), 400 μM HotA (red squares), 400 μM AID (maroon triangles), or 400 μM AID-CAP (blue circles). (D) Change in half maximal activation potential (ΔV1/2) between recordings at 5 and 30 min postinjection. (E) Imax(t)/Imax(5 min) and (F) Imax(t)/Imax(5 min) normalized to Imax(t)/Imax(5 min) of HotA injection as a function of postinjection time. Symbols are as in panels B and C. Lines in panel F show fit to I(t) = A exp (−t/τ) + C (exponential) or I(t) = mt + C (linear), where I is the recorded current, A is the amplitude of the loss of current (for exponential fit), m is the slope factor (linear fit), and C is the residual current after 30 min. Results for AID and AID-CAP are statistically different from HotA in all panels (P < 0.001). AID and AID-CAP results are not statistically different from each other except in panels E and F where P < 0.001.

AID-CAP affects CaV1.2Y437A:CaVβ2a channels. (A) Exemplar normalized ICa traces at a test potential of +20 mV for Xenopus oocytes expressing CaV1.2-Y437A:CaVβ2a channels recorded after injection of water, 400 μM HotA, 400 μM AID-CAP, or 400 μM AID at the indicated postinjection times. Gray curves at times 10, 15, 20, 25, and 30 min show initial 5 min response. (B) Fractional inactivation after 300 ms (ti300) and (C) A1, the relative amplitude of the fast inactivation component, for CaV1.2-Y437A:CaVβ2a currents as a function of postinjection time for water (inverted black triangles), 400 μM HotA (red squares), 400 μM AID (maroon triangles), or 400 μM AID-CAP (blue circles). (D) Change in half maximal activation potential (ΔV1/2) between recordings at 5 and 30 min postinjection. (E) Imax(t)/Imax(5 min) and (F) Imax(t)/Imax(5 min) normalized to Imax(t)/Imax(5 min) of HotA injection as a function of postinjection time. Symbols are as in panels B and C. Lines in panel F show fit to I(t) = A exp (−t/τ) + C (exponential) or I(t) = mt + C (linear), where I is the recorded current, A is the amplitude of the loss of current (for exponential fit), m is the slope factor (linear fit), and C is the residual current after 30 min. Results for AID and AID-CAP are statistically different from HotA in all panels (P < 0.001). AID and AID-CAP results are not statistically different from each other except in panels E and F where P < 0.001. Data are expressed as mean values ± SEM; τ values were determined at a holding potential of +20 mV (see Materials and Methods); ti300 denotes percent inactivation at 300 ms. Imax is the maximal current amplitude. V1/2 values for CaV1.2 and mutants were determined with calcium as the charge carrier. Data were fit using the equation I = Gmax(Vm – Vrev)/(1 + exp[(V1/2 – Vm)/Ka]), where I is the measured peak current at each Vm, Gmax is the maximal macroscopic conductance, Vm is the test potential, Vrev is the reversal potential, V1/2 is the midpoint of activation, and Ka is the slope factor.[29] ND, value not determined. Italic lines highlight double exponential fit values for CaVβ3 experiments. A second functional signature of the interaction of CaVβ2a with CaV1.2 is a hyperpolarizing shift of ∼10 mV in the channel activation (V1/2 = 18.1 ± 1.0 and 8.1 ± 1.2 mV for CaV1.2 without and with CaVβ2a, respectively, Table ). In CaV1.2 Y437A:CaVβ2a channels, competition with both the AID and AID-CAP peptides reduced this effect of CaVβ on channel activation (V1/2 = 15.1 ± 2.0 and 16.9 ± 1.0 mV for AID and AID-CAP, respectively) (Figure D, Table ). By contrast, oocytes coexpressing CaV1.2-Y437A:CaVβ2a that were injected with either water or the HotA peptide did not show any changes in gating characteristics. These observations are consistent with the notion that AID and AID-CAP peptide injection counteracted the effect of CaVβ2a on the voltage-dependency of channel activation and suggest that the observed effects arise from disruption of the CaV1.2:CaVβ2a interaction. Recordings from CaV1.2-Y437A:CaVβ2a expressing oocytes challenged by AID or AID-CAP also showed consistently higher rundown, compared to recordings from water or HotA peptide injected oocytes (Figure E and Table ). This increased rundown may reflect some enhanced internalization of channel once the CaV1.2:CaVβ interaction is lost or possible inhibition of the formation of new complexes. Subtraction of the water-injected baseline revealed that the AID and AID-CAP induced rundown of Imax reached steady state on the time scale of minutes (Figure F) and that the AID-CAP peptide was more potent than the unstapled wild-type. The rundown process could be well fit by a single exponential (Figure F) (τ = 5.3 ± 0.9 and 4.1 ± 0.4 min for AID and AID-CAP, respectively). All of the observed characteristic changes caused by AID and AID-CAP injection are consistent with a disruption of the CaV1.2:CaVβ2a interaction. Given that the AID-CAP peptide performed better than the AID, we next asked whether AID-CAP could compete with CaVβ2a bound to an unaltered channel. Contrasting the results with CaV1.2-Y437A, the effects of 400 μM AID-CAP injection into wild-type CaV1.2 expressing oocytes were not different from the effects seen with water or similar concentration injections of HotA on CaV1.2-Y437A:CaVβ2a. Increasing the injected AID-CAP concentration to 2.8 mM did not cause functional effects that were different from the negative controls with the exception of inducing a slight increase in channel rundown (Figure ). Thus, unlike the situation in which the AID:ABP interaction is weakened by the Y437A mutation in the CaV1.2 α1-subunit AID, native CaV1.2:CaVβ2a complexes appear to be sufficiently stable to resist kinetic competition by the injected peptides.
Figure 6

CaV1.2:CaVβ2a channels resist AID-CAP modulation. (A) Exemplar normalized ICa traces at a test potential of +20 mV for Xenopus oocytes expressing CaV1.2:CaVβ2a channels recorded after injection of water, 400 μM HotA, 400 μM AID-CAP, or 2.8 mM AID-CAP at the indicated postinjection times. Gray curves at times 10, 15, 20, 25, and 30 min show initial 5 min response. (B, C) Postinjection values of (B) fractional inactivation after 300 ms (ti300) and (C) A1, the relative amplitude of the fast inactivation component, for CaV1.2-Y437A:CaVβ2a currents as a function of postinjection time for water (inverted black triangles), 400 μM HotA (red squares), 400 μM AID-CAP (blue circles), or 2.8 mM AID-CAP (teal triangles). (D) Change in half maximal activation potential (ΔV1/2) between recordings 5 and 30 min postinjection. (E) Imax(t)/Imax(5 min) and (F) Imax(t)/Imax(5 min) normalized to HotA injection as a function of postinjection time. Symbols are as in panel B and C. Lines in panel F show fit to I(t) = A exp(−t/τ) + C (exponential) or I(t) = mt + C (linear), where I is the recorded current, A is the amplitude of the loss of current (for exponential fit), m is the slope factor (linear fit), and C is the residual current after 30 min. There are no statistically significant differences in the results shown in the panels, except for panels E and F where the AID-CAP 2.8 mM results are statistically significant from Hot A (P = 0.034).

CaV1.2:CaVβ2a channels resist AID-CAP modulation. (A) Exemplar normalized ICa traces at a test potential of +20 mV for Xenopus oocytes expressing CaV1.2:CaVβ2a channels recorded after injection of water, 400 μM HotA, 400 μM AID-CAP, or 2.8 mM AID-CAP at the indicated postinjection times. Gray curves at times 10, 15, 20, 25, and 30 min show initial 5 min response. (B, C) Postinjection values of (B) fractional inactivation after 300 ms (ti300) and (C) A1, the relative amplitude of the fast inactivation component, for CaV1.2-Y437A:CaVβ2a currents as a function of postinjection time for water (inverted black triangles), 400 μM HotA (red squares), 400 μM AID-CAP (blue circles), or 2.8 mM AID-CAP (teal triangles). (D) Change in half maximal activation potential (ΔV1/2) between recordings 5 and 30 min postinjection. (E) Imax(t)/Imax(5 min) and (F) Imax(t)/Imax(5 min) normalized to HotA injection as a function of postinjection time. Symbols are as in panel B and C. Lines in panel F show fit to I(t) = A exp(−t/τ) + C (exponential) or I(t) = mt + C (linear), where I is the recorded current, A is the amplitude of the loss of current (for exponential fit), m is the slope factor (linear fit), and C is the residual current after 30 min. There are no statistically significant differences in the results shown in the panels, except for panels E and F where the AID-CAP 2.8 mM results are statistically significant from Hot A (P = 0.034).

Stapled AID Peptides Compete with Functional CaV1.2/CaVβ3 Complexes in Oocytes

CaVβ2a bears an N-terminal palmitoylation site[74] that anchors it to the plasma membrane making it different from other CaVβ isoforms. This membrane tethering should increase the effective concentration[75] of the AID:ABP interaction and could thwart the ability of AID peptides to compete with the native AID:ABP interaction. To test this idea, we examined whether AID and AID-CAP peptides could affect wild-type CaV1.2 coexpressed with nonpalmitoylated isoform CaVβ3 that shares a conserved structure and ABP-AID interface with CaVβ2a.[45,46] By strong contrast with the CaV1.2:CaVβ2a results (Figure ), injection of AID or AID-CAP into oocytes expressing CaV1.2:CaVβ3 channels at the maximal peptide concentration that was ineffective against CaV1.2:CaVβ2a channels (2.8 mM, Figure ) resulted in a striking change of the channel properties compared to the control HotA peptide (Figure A, Table ). Over the course of 30 min, competition with AID and AID-CAP decreased the extent of inactivation (ti300 from 73.4% ± 2.0% to 49.8% ± 1.9% and from 73.2% ± 1.5% to 48.3% ± 4.1%, respectively, Figure B), prolonged τ of inactivation (Figure C), and shifted the activation V1/2 (from 6.3 ± 1.6 to 20.5 ± 2.8 mV and from 10.4 ± 2.2 to 21.0 ± 2.0 mV for AID-CAP and AID, in contrast to HotA, from 6.7 ± 2.9 to 8.6 ± 3.3 mV Figure D). Following injection with both the AID-CAP and AID peptides, there was also a clear change in channel inactivation kinetics, which changed from one having two components to a monoexponential process. Similar to the CaV1.2-Y437A:CaVβ2a experiments, injection of AID and AID-CAP peptides resulted in strongly increased current rundown, consistent with a loss of active channels on the plasma membrane (Figure E). All of these functional changes are consistent with the near complete disruption of the CaV1.2α1:CaVβ3 interaction and are absent in currents from oocytes expressing CaV1.2:CaVβ3 challenged with the HotA peptide. The similar performance of the AID and AID-CAP peptides matches their comparable affinities for CaVβ (Figure and Table ). There is a slight advantage for the AID-CAP version that suggests that the peptide staple improves the performance of the peptide in a cellular setting (Figure ).
Figure 7

AID-CAP affects CaV1.2:CaVβ3 channels. (A) Exemplar normalized ICa traces at a test potential of +20 mV for Xenopus oocytes expressing CaV1.2:CaVβ3 channels recorded after injection of 4 mM HotA, 2.8 mM AID-CAP, or 2.8 mM AID at the indicated postinjection times. Gray curves at times 10, 15, 20, 25, and 30 min show initial 5 min response. (B, C) Postinjection values of (B) fractional inactivation after 300 ms (ti300) and (C) t, the fast inactivation time constant of CaV1.2:CaVβ3 currents, as a function of postinjection time for 4 mM HotA (red squares), 2.8 mM AID (maroon triangles), or 2.8 mM AID-CAP (blue circles). (D) Change in half maximal activation potential (ΔV1/2) between recordings 5 and 30 min postinjection. (E) Imax(t)/Imax(5 min) and (F) Imax(t)/Imax(5 min) normalized to HotA injection as a function of postinjection time. Symbols are as in panels B and C. Lines in panel F show fit to I(t) = A exp(−t/τ) + C (exponential) or I(t) = mt + C (linear), where I is the recorded current, A is the amplitude of the loss of current (for exponential fit), m is the slope factor (linear fit), and C is the residual current after 30 min. Because of the switch in inactivation behavior, to facilitate comparisons, values from monoxponential fits of the channel kinetics were used for panel C. Results for AID and AID-CAP are statistically different from HotA in all panels (P < 0.001 for panels B, E, and F; P < 0.05 for panels C and D). AID and AID-CAP results are not statistically different from each other except in panels C, E, and F where P < 0.001.

AID-CAP affects CaV1.2:CaVβ3 channels. (A) Exemplar normalized ICa traces at a test potential of +20 mV for Xenopus oocytes expressing CaV1.2:CaVβ3 channels recorded after injection of 4 mM HotA, 2.8 mM AID-CAP, or 2.8 mM AID at the indicated postinjection times. Gray curves at times 10, 15, 20, 25, and 30 min show initial 5 min response. (B, C) Postinjection values of (B) fractional inactivation after 300 ms (ti300) and (C) t, the fast inactivation time constant of CaV1.2:CaVβ3 currents, as a function of postinjection time for 4 mM HotA (red squares), 2.8 mM AID (maroon triangles), or 2.8 mM AID-CAP (blue circles). (D) Change in half maximal activation potential (ΔV1/2) between recordings 5 and 30 min postinjection. (E) Imax(t)/Imax(5 min) and (F) Imax(t)/Imax(5 min) normalized to HotA injection as a function of postinjection time. Symbols are as in panels B and C. Lines in panel F show fit to I(t) = A exp(−t/τ) + C (exponential) or I(t) = mt + C (linear), where I is the recorded current, A is the amplitude of the loss of current (for exponential fit), m is the slope factor (linear fit), and C is the residual current after 30 min. Because of the switch in inactivation behavior, to facilitate comparisons, values from monoxponential fits of the channel kinetics were used for panel C. Results for AID and AID-CAP are statistically different from HotA in all panels (P < 0.001 for panels B, E, and F; P < 0.05 for panels C and D). AID and AID-CAP results are not statistically different from each other except in panels C, E, and F where P < 0.001. Measurement of the time constant for the loss of channels by fitting to a single exponential yields τ = 5.3 ± 0.7 and 4.6 ± 0.4 min for AID-CAP and AID, respectively. These values are notably similar to those measured for CaV1.2 Y437A:CaVβ2a complexes (5.3 ± 0.9 and 4.1 ± 0.4 min, respectively, Figure F) and are within a factor of 3 of the reported koff for dissociation of purified CaV2.2 I–II loop peptide and CaVβ2b (τ = 2.1 min).[44] These observations, together with the similar binding properties of all AID and CaVβ isoforms,[45] suggest that the functional effects we observe are driven by dissociation of CaVβ from the channel. Taken together, our data demonstrate that it is possible to use exogenous AID peptides to disrupt CaVα:CaVβ interactions. Differences in the labile nature of the AID:CaVβ interaction lead to CaVβ isoform-specific effects even though the target AID:ABP interactions are strictly conserved.

Discussion

The function, regulation, and biogenesis of many VGIC superfamily members rely on the formation of protein–protein complexes between VGIC pore-forming and cytoplasmic subunits.[1,76] Well-studied examples of how this class of protein–protein interactions can affect VGIC biophysical properties and cellular targeting have been elaborated for CaV1 and CaV2 pore-forming subunits with CaVβ[20,23,45−48] and the interaction of Kv1 and Kv4 voltage gated potassium channels with either Kvβ[4,77] or KChIPs,[4,78] respectively. In particular, application of CaV1 AID peptides to channel containing membrane patches has been reported to modulate CaV1.2 channels in a manner consistent with competition of the CaVα1:CaVβ interaction[55] and comprehensive structural and functional studies have shown that cortisone can modulate Kv1 channels by competing with the KV1–Kvβ interaction.[6,7] These initial studies suggest that antagonists of the protein–protein interactions between pore-forming and cytoplasmic VGIC components may offer an alternative strategy to control channel function that contrasts the classical approaches that target the pore-forming subunit.[19,50−52,79] Targeting protein–protein interactions remains challenging.[14,16] Nevertheless, notable successes have been made in developing protein–protein interaction antagonists for a variety of cellular targets such as Bcl-XL, p53, and estrogen receptors.[14−17] Despite the many successes with intracellular targets, there has been little successful development reported regarding VGIC protein–protein interaction antagonists. Two studies have detailed the search for compounds that would affect CaVα–CaVβ[53] and Kv4–KChIP interactions,[80] but neither validated the reported compounds as authentic protein–protein interaction antagonists. Given such lack of progress targeting ion channel protein–protein interactions as a point of pharmacological intervention and questions about the degree to which interactions between pore-forming and cytoplasmic subunits may be labile, there has been reasonable skepticism about whether targeting such interactions can be a viable strategy to control channel function in cellular settings.[12,19] Our studies here, using a classic paradigm for cytoplasmic subunit modulation, that of the CaVα1:CaVβ interaction, now validate the concept of using protein–protein antagonists to control a VGIC and should open a path to further development of this type of strategy to control channel function. Protein–protein interactions involving the binding of an α-helix to a partner protein represent one of the most attractive architectures for protein–protein interaction antagonist development[15] as the interaction surface is limited and there are a variety of strategies for improving the properties of the α-helical partner. The AID:ABP interaction presents an example of this sort of interaction in an ion channel complex. The α-helical element of the complex, the AID, lacks structure in its unbound state[45,47,64,65] and binds to a well-defined CaVβ cleft, the ABP, that undergoes minimal conformational change.[46−48] Because α-helix stabilization strategies have proven successful for targeting many protein–protein interactions mediated by a similar general architecture[15] and the binding energy of the AID:ABP is focused into a hotspot in the center of the AID helix,[45] we reasoned that pursuing a stapled peptide strategy[58] to enhance the stability of the AID helix might provide a first step in the development of CaVβ-directed inhibitors of CaV function. Incorporation of an m-xylyl staple, a strategy used previously to stabilize the protease inhibitor calpastatin[59] and β-catenin,[60] enhanced AID helix formation when placed at either N-terminal (AID-CAP) or central (AID-CEN) positions (Figure C). The AID-CAP configuration proved superior for inducing helical content. We attribute this effect to the stabilization of an engineered helix cap by the m-xylyl staple (Figure S1C) and the importance of helix nucleation.[81,82] Our crystallographic studies show that neither m-xylyl staple position altered the way the AID peptides bind CaVβ (Figure ). As anticipated, m-xylyl staple incorporation reduced the entropic penalty of CaVβ binding (Table ) in a manner consistent with reduction of disorder in the unbound AID. Nevertheless, despite this effect, lack of interference of the staples with CaVβ complex formation, and lack of conformational change in the CaVβ ABP, there was a concomitant reduction in the large enthalpic gain of complex formation that resulted in no measurable change in CaVβ binding affinity between the unconstrained and stapled AIDs (Table ). Such entropy–enthalpy compensation effects are not uncommon in protein–ligand recognition and design efforts.[67] In the case of the stapled AIDs, the ordering of the helical conformation may have traded away some of the gain in favorable enthalpy associated with the formation of helical backbone interactions[68] that would otherwise be associated with the binding reaction. The structural information obtained here should enable strategies using other cross-linking sites or the combination of multiple staples to provide a path toward more efficacious peptide-based CaVα:CaVβ protein–protein interaction inhibitors. Notably, even in the absence of affinity enhancement effects, the helical staples may offer advantages, as our cell-based assays indicated that the stapled peptide outperformed the unstapled AID (Figures and 7). Hence, there may be multiple layers of benefit to helix stabilization in a cellular context that go beyond the effects on binding affinity. Two challenges to targeting the AID:ABP interaction are competition with a nanomolar native interaction[45] and the fact that the AID:ABP interface comprises well-conserved interactions among the isoforms of both partners.[45] Despite these challenges, our functional studies showed that injection of either wild-type AID or AID-CAP into Xenopus oocytes expressing CaV1.2-Y437A:CaVβ2a or CaV1.2:CaVβ3 channel complexes resulted in biophysical changes that were consistent with loss of CaVβ modulation and binding. Such changes were absent for CaV1.2:CaVβ2a channels in which the CaVβ component is anchored to the membrane via palmitoylation.[74] The biophysical parameter changes were also accompanied by a reduction of channels at the cell membrane as indicated by the changes in the Imax parameter. Notably, such changes could also be observed for CaV1.2:CaVβ2a, although to a lesser extent than with CaV1.2-Y437A:CaVβ2a or CaV1.2:CaVβ3, suggesting that the peptides may not only affect channels at the membrane but inhibit the formation or membrane incorporation of newly assembled channels or may influence channel destruction by the ERAD system.[30] Interestingly, the time constants measured for the Imax changes are close to the intrinsic dissociation rates reported for the AID–CaVβ interaction[44] and suggest that some of the competitive effects of the peptides may be governed by the intrinsic dissociation rates of CaVβ from the pore-forming subunit. Together, our data demonstrate that the AID:ABP interaction can be targeted effectively in a cellular context. Importantly, despite the high similarity in the residues that contribute to the AID:ABP interface and the corresponding similar interaction affinities for AID–CaVβ pairs,[45] our findings show that it is possible to achieve some degree of isoform selective specificity. This selectivity appears to originate in factors outside of the ABP–AID interface that contribute to the diverse functional effects of the different CaVβ isoforms, that likely affect how CaVβ engages the channel, and that are related to the CaVβ off rate. Thus, our studies with stapled AID peptides show that it is possible to antagonize a paradigmatic protein–protein interaction central to VGIC function, for CaV current regulation and achieve specificity between different CaVβ isoforms. VGICs have well-established important roles in the generation of bioelectrical signals in excitable tissues such as brain, heart, and muscle[1] and also have an emerging set of “nonclassical” roles in insulin secretion,[83] cancer,[84−86] and gene regulation.[87,88] Because of these diverse functions and a general lack of specific means for controlling channel function, there remains a need to develop new molecular tools that can be used to probe VGIC biology.[51,89,90] Due to the importance of protein–protein interactions between pore-forming and cytoplasmic VGIC subunits for the biogenesis and trafficking of many VGICs, further development of such VGIC protein–protein interaction antagonists may open new means to study the dynamics of channel complexes, the steps associated with channel assembly, and the roles of these processes in native setting excitable tissues such as muscles and neurons.

Materials and Methods

Molecular Biology

Human CaV1.2 (α1C77, GenBank Z34815), human CaV1.2-Y437A, rat CaVβ2a (GenBank NM_053851), CaVβ3 (GenBank NM_001101715), and CaVα2δ-1 (GenBank NM_00182276) were used for two-electrode voltage clamp experiments in Xenopus oocytes. For constructing CaV1.2-Y437A, the mutation in position 437 of CaV1.2 was introduced by SOE-PCR (Splicing by Overlap-PCR). Briefly, the I–II loop cDNA sequence of CaV1.2 was PCR amplified with overlapping mutagenesis primers in separate PCR reactions using pcDNA3.1-CaV1.2 as template. The two separate PCR products were then used as templates for a final PCR reaction with flanking primers to connect the nucleotide sequences. This fragment was then HpaI/PpuMI digested and cloned into the respective sites of pcDNA3.1-CaV1.2.

Protein Expression and Purification

CaVβ2a expression and purification were done as previously described.[45] For complex formation with stapled peptides, 155 uM CaVβ2a in buffer A (150 mM KCl, 1 mM TCEP, pH 7.4, 10 mM HEPES/KOH, pH 7.4) was mixed with an equal volume of peptide in buffer A, creating a molar ratio of protein/peptide of 1:1.2. Unbound peptide was removed using a Superdex200 HR10/30 gel filtration column run in buffer A. The CaVβ2a/peptide complex was concentrated (Amicon filter, MWCO 10 kDa) to 8 mg/mL as determined by absorbance.[91]

Peptide Synthesis and Purification

All the AID peptides were synthesized using an automated peptide synthesizer (0.1 mmol scale). Fmoc-solid phase peptide synthesis was employed on Chemmatrix Rinkamde resin (substitution level ∼0.5 mmol/g). Deprotection was performed with 20% 4-methylpiperidine in DMF, and coupling reactions were done in a mixture of Fmoc-amino acid (5 equiv), HCTU (4.95 equiv), and DIPEA (10 equiv) in DMF at 70 °C for 5 min. The peptide was cleaved from the resin by treatment with the cleavage cocktail (TFA/EDT/thioanisole = 95:2.5:2.5), and the crude product was obtained by cold ether precipitation after removal of TFA. The crude peptide was purified by reverse phase (RP)-HPLC C4 column and lyophilized.

Peptide Cross-Linking

Peptide cross-linking was performed as described previously.[59] Briefly, a solution of cysteine containing peptide (0.1 mM) was incubated with TCEP (1.5 equiv) in NH4HCO3 buffer (100 mM, pH = 8.0) for 30 min. Then m,m′-dibromoxylene solution (2 or 3 equiv, 1 mM in DMF) was added and stirred at room temperature. The reaction progress was monitored by mass spectrometry. When the reaction was complete, the reaction mixture was quenched by 1 M HCl solution to acidic pH (pH 3 or 4) and purified by RP-HPLC.

Crystallization and Refinement

The CaVβ2a/ASPL complex was crystallized by hanging drop vapor diffusion at 4 °C by mixing equal volumes of protein in buffer A and well solution containing 1.5–1.7 M (NH4)2SO4, 5 mM β-mercaptoethanol, and 0.1 M HEPES, pH 7. The CaVβ2a/CSPE complex was crystallized by hanging drop vapor diffusion at 4 °C by mixing equal volumes of protein in buffer A and well solution containing 34–37% PEG400, 0.1 M MgCl2, and 0.1 M MES, pH 6.3. After flash-freezing in well solution plus 20% glycerol, diffraction data were collected at Beamline 8.3.1 (Advanced Light Source, Lawrence Berkeley National Laboratories), indexed using MOSFLM 7.0.4,[92] and scaled using SCALA.[93] Molecular replacement with PHASER[94] using a model derived from 1T3S yielded starting phases. The initial model was improved by iterative cycles of manual building in COOT[95] and refinement against native data using Refmac5.[96] TLS-tensors were added in the final cycle of refinement. Data collection and final model refinement statistics are summarized in Table S1.

Circular Dichroism

Circular dichroism spectra were measured in a 2 mm path length quartz cuvette (Hellma), 50 mM KCl, and 10 mM KH2PO4/K2HPO4, pH 7.3, using an Aviv model 215 spectropolarimeter (Aviv Biomedical) equipped with a Peltier temperature controller. Wavelength scans from 320 to 190 nm were taken at 4 °C. Each point was determined in triplicate from the same sample and subtracted by the average of a triplicate buffer scan. Each sample was checked for purity by HPLC. Molar ellipticity was calculated as follows: θ = 100(Δm)/(Cnl), where Δm is the CD signal in millidegrees after buffer subtraction, C is the millimolar peptide concentration, n is the number of residues in the peptide, and l is the cuvette path length in centimeters.

Isothermal Calorimetry

Titrations were performed at 15 °C using a VP-ITC microcalorimeter (MicroCal). Samples were dialyzed overnight at 4 °C (Slide-A-Lyzer, 2 kDa molecular weight cutoff, Thermo Scientific) against 150 mM KCl and 10 mM potassium phosphate, pH 7.3. After 30 min centrifugation at 40 000 rpm at 4 °C, protein concentrations were determined by absorbance at 280 nm.[91] All samples were degassed for 5 min prior to loading into the calorimeter. CaV1.2 CaVβ2a core at a concentration of 2 μM was titrated with 20 μM modified or unmodified AID peptide with one 4 μL injection followed by 29 injections of 10 μL of titrant. To correct the baseline, heat of dilution from titrations of injectant into buffer was subtracted. Data were processed with MicroCal Origin 7.0 using a single site binding model.

Electrophysiology

Details of two-electrode voltage clamp have been described previously.[64] In short, linearized cDNA was translated into capped mRNA using the T7 mMessenger kit (Ambion). Fifty nanoliters of a mRNA mixture containing an equimolar ratio of CaVα1 and CaVα2δ-1 and a lower amount of CaVβ were microinjected into Xenopus oocytes 48–72 h prior to recording. After injection, the oocytes were kept at 18 °C in ND96 medium supplemented with penicillin (100 U mL–1) and streptomycin (100 μg mL–1). Prior studies established that with injections of an equimolar ratio of CaVα1 and CaVβ RNA, there is an excess of free CaVβ.[64] To avoid an excess of free CaVβ in the cytoplasm, the optimal CaVα1/CaVβ RNA ratio was determined for each RNA preparation. Different CaVα1/CaVβ molar ratios were titrated for every RNA preparation, and the highest CaVα1/CaVβ RNA ratio at which the channel currents displayed the same extent and speed of inactivation as oocytes injected with equimolar ratio of CaVα1/CaVβ was used for peptide injection experiments (1:10 to 1:100 for CaVβ2a:CaV1.2; 1:1 for CaVβ3:CaV1.2). For experiments that involved peptide injections into oocytes, 5 min before the first recording, 50 nL of a mixture of 0.1 M BAPTA and the test substance (peptide or water) was injected. Recording solutions contained 40 mM Ca(NO3)2, 50 mM NaOH, 1 mM KOH, and 10 mM HEPES, adjusted to pH 7.4 using HNO3. Electrodes were filled with 3 M KCl and had resistances of 0.3–2.0 MΩ. Leak currents were subtracted using a P/4 protocol. Currents were analyzed with Clampfit 8.2 (Axon Instruments). All results are from at least two independent oocyte batches. The ti300 values were calculated from normalized currents at +20 mV and represent the percentage of inactivation after 300 ms. Inactivation τ values at +20 mV, Gmax, Ka, V1/2, and Vrev were calculated as described.[64]

Statistical Analysis

Data are expressed as mean ± SEM. Statistical differences between samples were determined using one-way analysis of variance or Kruskal–Wallis one way analysis of variance on ranks (when data were not normally distributed) and two-way analysis of variance associated with a Holm–Sidak post hoc test when needed. A value of p < 0.05 was considered significant.
  92 in total

1.  The interaction between the I-II loop and the III-IV loop of Cav2.1 contributes to voltage-dependent inactivation in a beta -dependent manner.

Authors:  Sandrine Geib; Guillaume Sandoz; Veronique Cornet; Kamel Mabrouk; Odile Fund-Saunier; Delphine Bichet; Michel Villaz; Toshinori Hoshi; Jean-Marc Sabatier; Michel De Waard
Journal:  J Biol Chem       Date:  2002-01-14       Impact factor: 5.157

2.  Structure of a complex between a voltage-gated calcium channel beta-subunit and an alpha-subunit domain.

Authors:  Filip Van Petegem; Kimberly A Clark; Franck C Chatelain; Daniel L Minor
Journal:  Nature       Date:  2004-05-12       Impact factor: 49.962

3.  Structure of the voltage-gated calcium channel Cav1.1 complex.

Authors:  Jianping Wu; Zhen Yan; Zhangqiang Li; Chuangye Yan; Shan Lu; Mengqiu Dong; Nieng Yan
Journal:  Science       Date:  2015-12-18       Impact factor: 47.728

4.  Molecular determinants of the CaVbeta-induced plasma membrane targeting of the CaV1.2 channel.

Authors:  Benoîte Bourdin; Fabrice Marger; Sébastien Wall-Lacelle; Toni Schneider; Hélène Klein; Rémy Sauvé; Lucie Parent
Journal:  J Biol Chem       Date:  2010-05-17       Impact factor: 5.157

Review 5.  Helix capping.

Authors:  R Aurora; G D Rose
Journal:  Protein Sci       Date:  1998-01       Impact factor: 6.725

Review 6.  Structural Basis for Pharmacology of Voltage-Gated Sodium and Calcium Channels.

Authors:  William A Catterall; Teresa M Swanson
Journal:  Mol Pharmacol       Date:  2015-04-06       Impact factor: 4.436

7.  Phage Selection of Chemically Stabilized α-Helical Peptide Ligands.

Authors:  Philippe Diderich; Davide Bertoldo; Pierre Dessen; Maola M Khan; Irene Pizzitola; Werner Held; Joerg Huelsken; Christian Heinis
Journal:  ACS Chem Biol       Date:  2016-03-11       Impact factor: 5.100

8.  Potentiation by the beta subunit of the ratio of the ionic current to the charge movement in the cardiac calcium channel.

Authors:  A Neely; X Wei; R Olcese; L Birnbaumer; E Stefani
Journal:  Science       Date:  1993-10-22       Impact factor: 47.728

Review 9.  Voltage- and calcium-dependent inactivation in high voltage-gated Ca(2+) channels.

Authors:  T Cens; M Rousset; J-P Leyris; P Fesquet; P Charnet
Journal:  Prog Biophys Mol Biol       Date:  2005-07-01       Impact factor: 3.667

Review 10.  Searching for interesting channels: pairing selection and molecular evolution methods to study ion channel structure and function.

Authors:  Daniel L Minor
Journal:  Mol Biosyst       Date:  2009-06-19
View more
  11 in total

1.  Exposing the Nucleation Site in α-Helix Folding: A Joint Experimental and Simulation Study.

Authors:  Arusha Acharyya; Yunhui Ge; Haifan Wu; William F DeGrado; Vincent A Voelz; Feng Gai
Journal:  J Phys Chem B       Date:  2019-02-14       Impact factor: 2.991

2.  Translocatable voltage-gated Ca2+ channel β subunits in α1-β complexes reveal competitive replacement yet no spontaneous dissociation.

Authors:  Jun-Hee Yeon; Cheon-Gyu Park; Bertil Hille; Byung-Chang Suh
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-26       Impact factor: 11.205

3.  Design of a Short Thermally Stable α-Helix Embedded in a Macrocycle.

Authors:  Haifan Wu; Arusha Acharyya; Yibing Wu; Lijun Liu; Hyunil Jo; Feng Gai; William F DeGrado
Journal:  Chembiochem       Date:  2018-03-22       Impact factor: 3.164

4.  N-locking stabilization of covalent helical peptides: Application to Bfl-1 antagonists.

Authors:  Carlo Baggio; Parima Udompholkul; Luca Gambini; Jennifer Jossart; Ahmed F Salem; Maria Håkansson; J Jefferson P Perry; Maurizio Pellecchia
Journal:  Chem Biol Drug Des       Date:  2020-01-20       Impact factor: 2.817

5.  A potent voltage-gated calcium channel inhibitor engineered from a nanobody targeted to auxiliary CaVβ subunits.

Authors:  Travis J Morgenstern; Jinseo Park; Qing R Fan; Henry M Colecraft
Journal:  Elife       Date:  2019-08-12       Impact factor: 8.140

Review 6.  Cochlear protein biomarkers as potential sites for targeted inner ear drug delivery.

Authors:  James G Naples; Lauren E Miller; Andrew Ramsey; Daqing Li
Journal:  Drug Deliv Transl Res       Date:  2020-04       Impact factor: 4.617

7.  Photo-Switchable Sulfonylureas Binding to ATP-Sensitive Potassium Channel Reveal the Mechanism of Light-Controlled Insulin Release.

Authors:  Katarzyna Walczewska-Szewc; Wieslaw Nowak
Journal:  J Phys Chem B       Date:  2021-11-26       Impact factor: 2.991

8.  Targeting trimeric transmembrane domain 5 of oncogenic latent membrane protein 1 using a computationally designed peptide.

Authors:  Yibo Wang; Yinghua Peng; Bo Zhang; Xiaozheng Zhang; Hongyuan Li; Andrew J Wilson; Konstantin S Mineev; Xiaohui Wang
Journal:  Chem Sci       Date:  2019-06-27       Impact factor: 9.825

Review 9.  Partners in Crime: Towards New Ways of Targeting Calcium Channels.

Authors:  Lucile Noyer; Loic Lemonnier; Pascal Mariot; Dimitra Gkika
Journal:  Int J Mol Sci       Date:  2019-12-16       Impact factor: 5.923

Review 10.  Disrupting GPCR Complexes with Smart Drug-like Peptides.

Authors:  Maria Gallo; Sira Defaus; David Andreu
Journal:  Pharmaceutics       Date:  2022-01-11       Impact factor: 6.525

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.