Wenshu Xu1, Yu Heng Lau2, Gerhard Fischer3, Yaw Sing Tan2,4, Anasuya Chattopadhyay1, Marc de la Roche3, Marko Hyvönen3, Chandra Verma4,5,6, David R Spring2, Laura S Itzhaki1. 1. Department of Pharmacology, University of Cambridge , Tennis Court Road, Cambridge CB2 1PD, United Kingdom. 2. Department of Chemistry, University of Cambridge , Lensfield Road, Cambridge CB2 1EW, United Kingdom. 3. Department of Biochemistry, University of Cambridge , 80 Tennis Court Road, Cambridge CB2 1GA, United Kingdom. 4. Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR) , 30 Biopolis Street, #07-01 Matrix 138671, Singapore. 5. School of Biological Sciences, Nanyang Technological University , 60 Nanyang Drive 637551, Singapore. 6. Department of Biological Sciences, National University of Singapore , 14 Science Drive 4 117543, Singapore.
Abstract
We report a double-click macrocyclization approach for the design of constrained peptide inhibitors having non-helical or extended conformations. Our targets are the tankyrase proteins (TNKS), poly(ADP-ribose) polymerases (PARP) that regulate Wnt signaling by targeting Axin for degradation. TNKS are deregulated in many different cancer types, and inhibition of TNKS therefore represents an attractive therapeutic strategy. However, clinical development of TNKS-specific PARP catalytic inhibitors is challenging due to off-target effects and cellular toxicity. We instead targeted the substrate-recognition domain of TNKS, as it is unique among PARP family members. We employed a two-component strategy, allowing peptide and linker to be separately engineered and then assembled in a combinatorial fashion via click chemistry. Using the consensus substrate-peptide sequence as a starting point, we optimized the length and rigidity of the linker and its position along the peptide. Optimization was further guided by high-resolution crystal structures of two of the macrocyclized peptides in complex with TNKS. This approach led to macrocyclized peptides with submicromolar affinities for TNKS and high proteolytic stability that are able to disrupt the interaction between TNKS and Axin substrate and to inhibit Wnt signaling in a dose-dependent manner. The peptides therefore represent a promising starting point for a new class of substrate-competitive inhibitors of TNKS with potential for suppressing Wnt signaling in cancer. Moreover, by demonstrating the application of the double-click macrocyclization approach to non-helical, extended, or irregularly structured peptides, we greatly extend its potential and scope, especially given the frequency with which such motifs mediate protein-protein interactions.
We report a double-click macrocyclization approach for the design of constrained peptide inhibitors having non-helical or extended conformations. Our targets are the tankyrase proteins (TNKS), poly(ADP-ribose) polymerases (PARP) that regulate Wnt signaling by targeting Axin for degradation. TNKS are deregulated in many different cancer types, and inhibition of TNKS therefore represents an attractive therapeutic strategy. However, clinical development of TNKS-specific PARP catalytic inhibitors is challenging due to off-target effects and cellular toxicity. We instead targeted the substrate-recognition domain of TNKS, as it is unique among PARP family members. We employed a two-component strategy, allowing peptide and linker to be separately engineered and then assembled in a combinatorial fashion via click chemistry. Using the consensus substrate-peptide sequence as a starting point, we optimized the length and rigidity of the linker and its position along the peptide. Optimization was further guided by high-resolution crystal structures of two of the macrocyclized peptides in complex with TNKS. This approach led to macrocyclized peptides with submicromolar affinities for TNKS and high proteolytic stability that are able to disrupt the interaction between TNKS and Axin substrate and to inhibit Wnt signaling in a dose-dependent manner. The peptides therefore represent a promising starting point for a new class of substrate-competitive inhibitors of TNKS with potential for suppressing Wnt signaling in cancer. Moreover, by demonstrating the application of the double-click macrocyclization approach to non-helical, extended, or irregularly structured peptides, we greatly extend its potential and scope, especially given the frequency with which such motifs mediate protein-protein interactions.
The development of
effective strategies for modulating protein–protein
interactions (PPIs) has the potential to vastly expand the range of
druggable proteins. Targeting the typically large, flat surfaces involved
with molecules of high affinity and specificity can be readily achieved
by mimicking the natural binding partner protein’s interacting
surface in the form of constrained peptides or peptidomimetics (reviewed
in refs (1−5)). The constraint serves the dual purpose of preorganizing the structure
and thereby increasing the binding affinity as well as enhancing the
pharmacokinetic properties such as in vivo stability and cell penetration.[6−9] Toward this goal, a class of molecules called “stapled”
or constrained peptides have been developed, which are characterized
by a bioactive, α-helical conformation that is induced by chemically
cross-linking two side chains.[10−18] Constraining non-helical, extended, or irregularly structured peptide
motifs presents a different challenge, as it is harder to rationally
design a linker so as to stabilize a binding-competent conformation
(e.g., ref (19)). Given
that these types of motifs are found in up to 50% of all PPIs,[20] there is a pressing need to address this challenge.Here, we use a two-component double-click chemistry approach to
macrocyclize peptides in an extended, non-helical conformation. Our
targets are the tankyrase proteins. Tankyrase 1 and tankyrase 2 (subsequently
referred to as TNKS) are poly(ADP-ribose) polymerases (PARPs) involved
in a number of cellular processes. These include control of the mitotic
checkpoint,[21−23] regulation of telomere length by targeting telomeric
repeat binding factor 1 (TRF1) for degradation,[24−28] and regulation of Wnt signaling by targeting Axin
for degradation.[29,30] Altered TNKS expression or activity
is implicated in various disease states, and increased expression
of TNKS has been observed in many different cancers including breast
cancers, fibrosarcoma, ovarian cancer, glioblastoma, pancreatic adenocarcinoma,
and gastric cancer.[28,31−34] As cancer therapeutics, TNKS
inhibitors could potentially exploit tumor-specific Wnt dependency
(e.g., in colorectal cancers with APC and KRAS mutations, which are
resistant to epidermal growth factor receptor inhibitors) or target
telomere dysfunction or an enhanced mitotic rate. It has also been
shown that silencing of TNKS by RNAi has a synthetic lethality effect
in tumor cells with BRCA1/BRCA2 gene defects but has minimal effects
in wild-type cells.[32] Thus, TNKS inhibitors,
like PARP inhibitors, may be useful for the treatment of breast cancers
caused by mutations in the BRCA genes.[35−37] Furthermore, TNKS inhibitors
may additionally have broader clinical applications. For example,
the Wnt pathway has been found to be a valid target for treating neurodegenerative
diseases (reviewed in refs (38 and 39)), such as multiple sclerosis[40,41] and amyotrophic lateral
sclerosis.[42,43] More recently, TNKS have been
found to play a role in glucose homeostasis[44] in type II diabetes.The first small-molecule TNKS inhibitor[29] (discovered in a Wnt pathway inhibitor screen)
and those developed
subsequently[45−48] are all directed against the catalytic PARP domain; however, there
are problems of cellular toxicity due to off-target effects arising
from the NAD+/ADP ribose-like characteristic of these active-site
inhibitors (reviewed in refs (35 and 49−51)). The TNKS proteins have a domain structure that
is distinct from other PARP family members, as they contain an ankyrin
domain comprising a series of ankyrin-repeat clusters (ARCs) that
are involved in targeting specific proteins for PARylation (Figure a). Our aim herein
was therefore to develop a new class of highly specific TNKS inhibitors
by targeting the substrate-recognition domain. Moreover, Guettler
et al. have recently shown that TNKS can induce Wnt signaling independently
of its catalytic PARP activity, mediated instead via an ARC-domain
scaffolding function and thus suggesting additional advantages of
therapeutic targeting of this domain.[52]
Figure 1
Structure
of TNKS1 and TNKS2. (a) Domain architecture, comprising
a homopolymeric run of histidine, proline and serine (HPS) residues,
the ankyrin repeat cluster (ARC), sterile alpha motifs (SAM), and
catalytic PARP domains. (b) Structure of human TNKS2 ARC4 (gray cartoon)
in complex with substrate peptide LPHLQRSPPDGQSFRS (purple;
PDB ID: 3TWR);[53] for clarity, only the central part
of the peptide (in bold) is labeled. (c) Structure of mouse TNKS1
ARC2–3 (gray cartoon) in complex with mouse Axin1_1–80;
only residues 18–30 (green) and 60–78 (yellow) of mAxin1
are visible in the crystal structure (PDB ID: 3UTM).[54]
Structure
of TNKS1 and TNKS2. (a) Domain architecture, comprising
a homopolymeric run of histidine, proline and serine (HPS) residues,
the ankyrin repeat cluster (ARC), sterile alpha motifs (SAM), and
catalytic PARP domains. (b) Structure of human TNKS2 ARC4 (gray cartoon)
in complex with substrate peptide LPHLQRSPPDGQSFRS (purple;
PDB ID: 3TWR);[53] for clarity, only the central part
of the peptide (in bold) is labeled. (c) Structure of mouse TNKS1
ARC2–3 (gray cartoon) in complex with mouse Axin1_1–80;
only residues 18–30 (green) and 60–78 (yellow) of mAxin1
are visible in the crystal structure (PDB ID: 3UTM).[54]To this end, we have designed
a series of macrocyclized peptides
using a modular two-component strategy that employs click chemistry
to connect a linker and a peptide, thus allowing each to be varied
independently before assembling them in a combinatorial fashion.[55,56] Our designs were guided by the previously determined crystal structures
of substrate-derived peptides in complex with the fourth ARC domain
of TNKS2 (TNKS2 ARC4) (Figure b)[53] and subsequently optimized
with the help of molecular dynamics (MD) simulations using an iterative
process of modifying the length and rigidity of the linker as well
as its position along the peptide sequence. We determined the crystal
structures of two of the macrocyclized peptides in complex with TNKS,
leading to further optimization of the design. We show that these
peptides are able to disrupt tankyrase-substrate complexes in vitro
and to inhibit Wnt transcription in a dose-dependent manner. Thus,
our results provide a promising starting point for a new class of
substrate-competitive inhibitors of tankyrase. Moreover, the methodology
has the potential to be a general approach for inhibiting PPIs that
involve non-helical, extended, or irregularly structured molecular
recognition motifs.
Results
Peptide and Linker Design
We focused the design and
optimization strategy on an 8-residue consensus sequence, REAGDGEE,
derived previously from a mutational analysis of TNKS substrates.[53] In that study, a 10-residue peptide was found
to be sufficient for high-affinity TNKS binding; we demonstrate here
that further truncation to the 8-core binding residues does not weaken
the affinity of the peptide. Computational alanine scanning was first
carried out on structures extracted from three independent 50 ns MD
simulations of the complex between TNKS2 ARC4 and the 8-residue consensus
sequence (for which there are no available experimental structures)
to assess which positions would be amenable to replacement by an unnatural
amino acid (UAA) having azido functionality for conjugation to the
linker. The analysis indicated Arg1 to be an important hot-spot residue,
whereas Ala3 (mutated to Gly in the computational analysis), Asp5,
and Glu8 make only modest contributions to the interaction (Figure S1). The modeling also suggests that positions
4 and 6 are unfavorable for cross-linking due to a high likelihood
of steric clashes of their side chains with the protein surface. Mutations
of Glu2 and Glu7 were found to be stabilizing, indicating that the
wild-type residues are detrimental to binding and consequently amenable
to replacement by UAAs. Thus, a first panel of macrocyclized peptides
was synthesized with azido-functionalized UAAs at positions 2 or 3
and 7 or 8 (Figure a), and they were acetylated at the N-terminus to neutralize the
terminal charge. The UAA side chains are denoted n1–n4 to indicate
the number of methylene (CH2) units (Figure a).
Figure 2
Macrocyclic peptide design. (a, left) Sequences
of the synthesized
peptides with the UAAs denoted as ‘X’; (right) chemical
structures of the different UAA side chains, where n2, n3, and so
forth indicate the number of CH2 units in the side chain.
(b) Chemical structures of the linkers, where m3–m5 indicate
the number of carbon/nitrogen atoms between the two alkynyl groups.
(c) Schematic of the click reaction between the peptides in (a) and
linkers in (b); see Figure S2 for full
chemical structures of representative peptides.
Macrocyclic peptide design. (a, left) Sequences
of the synthesized
peptides with the UAAs denoted as ‘X’; (right) chemical
structures of the different UAA side chains, where n2, n3, and so
forth indicate the number of CH2 units in the side chain.
(b) Chemical structures of the linkers, where m3–m5 indicate
the number of carbon/nitrogen atoms between the two alkynyl groups.
(c) Schematic of the click reaction between the peptides in (a) and
linkers in (b); see Figure S2 for full
chemical structures of representative peptides.We explored a number of different linker designs, varying
both
the chemical properties and rigidity (Figure b). All linkers contained an alkyne at each
terminus to cross-link the two UAAs in the peptide. Linkers with linear
aliphatic units between the two alkynyl groups are denoted m3–m5
to indicate the number of methylene (CH2) units. These
linkers were commercially available. A longer linker containing hydrocarbon
units and a urea derivative, which we denote as m7N, was synthesized
from 1,1′-carbonyldiimidazole and 1-amino-3-butyne (protocols
modified from ref (57)). The linkers with greater rigidity, m3c and m5c, contain aromatic
groups and were synthesized using palladium-catalyzed coupling chemistry.[56,58]
The Double-Click Reaction Can Effectively Macrocyclize Extended
Peptides
We previously used our double-click chemistry strategy
to staple α-helical peptides derived from the tumor suppressor
p53 for inhibition of the p53-Mdm2 interaction.[56] In that case, as for other helix stapling methods, the
stapling positions were identified to be the i, i+4 or i, i+7 residue
pairs so that the intrinsic helical propensity of the peptide brings
the two stapling positions close together in space, thereby helping
to drive the reaction.[6−8] The TNKS-bound peptides adopt an extended conformation,
and therefore, we first tested the efficiency of the click reaction
between linker and peptide in this context. After optimization of
the reaction conditions, we were able to show that the click reaction
between peptide cp4n4 and linker m5 proceeded to completion after
stirring overnight under nitrogen in degassed solvent (Figure c). Monitoring by liquid chromatography
mass spectrometry (LCMS) showed that no starting material remained
and that there was a single product with the expected mass. The purified
and lyophilized product was further analyzed by infrared spectrometry
(IR) and high-resolution mass spectrometry to verify that the two
azido groups in the peptide reacted with the same linker because other
potential byproducts share the same mass from the 1,3-dipolar cycloaddition.
The disappearance of the typical azido stretch at 2100 cm–1 in the IR spectrum after the reaction suggested that both azido
groups had reacted (Figure S4). The isotopic
patterns from mass spectrometry showed a mass spacing between two
[M + 2H]2+ species of 0.5 amu, consistent with the cross-linking
of a single linker onto one peptide (Figure S5). These results demonstrate unequivocally that we can extend the
scope of our two-component click macrocyclization strategy to non-helical
peptides.The affinities of a first panel of macrocyclized peptides
for binding to TNKS2 ARC4 were determined using a competitive fluorescence
polarization (FP) assay with a TAMRA-labeled linear peptide T-pep1
(TAMRA-Ahx-REAGDGEE, where Ahx is a spacer that comprises 6-aminohexanoic
acid; TAMRA-labeled peptides are indicated with “T-”
at the beginning of the name) as the competing ligand (Figure and Table S1). The dissociation constant of the labeled T-pep1 was 0.8
± 0.1 μM from the direct FP measurement, and that of unlabeled
pep1 was 1.2 ± 0.1 μM from the competitive FP measurement
in agreement with the values reported in the literature.[53] Two uncross-linked precursor peptides, cp4n4
and cp5n4, were also tested and found to have affinities that were
similar to or only slightly weaker than pep1, indicating that incorporation
of the UAAs did not significantly perturb the interaction with TNKS
ARC4. All of the macrocyclized peptides in this first panel bound
more weakly than the linear pep1 to TNKS ARC4. We tested several combinations
of UAAs and linkers based on cross-linking positions 2 and 7 (RXAGDGXE;
cp2), including varying the UAA side chain lengths (n) between 2 and 4, and two different linker lengths (m) of 5 and 7; however, all combinations yielded peptides that exhibited
very weak binding affinities. Macrocyclization of cp3, containing
UAAs in positions 2 and 8, also yielded weak binding affinities. Macrocyclization
of cp4 and cp5 (UAAs in positions 3 and 7/8), however, yielded higher
binding affinities, and peptide REXGDGXE (cp4) was therefore chosen
for further optimization.
Figure 3
Determining the optimal peptide-linker combination.
Dissociation
constants were determined by competitive FP assay using labeled T-pep1
bound to ARC4 as the tracer for the first panel of macrocyclized peptides
in which we varied the positions of the two UAAs (denoted X) in the
peptide sequence, the lengths of the side chains, and the length of
the linker. “n” is the number of methylene
(CH2) groups in the side chain of the UAAs; ‘m’ is the number of carbon/nitrogen atoms between
the two triazole groups in the linker. Special linkers are m5c, a
rigid linker based on napthalene, and m7N, a linear linker made from
a urea derivative described earlier. A dash in the “m” box denotes uncross-linked peptide. The dissociation
constant of the unlabeled linear peptide, pep1, is shown for comparison.
Uncross-linked cp4n4 and cp5n4 were measured as comparisons to their
cross-linked counterpart. A full list of dissociation constants is
given in Table S1.
Determining the optimal peptide-linker combination.
Dissociation
constants were determined by competitive FP assay using labeled T-pep1
bound to ARC4 as the tracer for the first panel of macrocyclized peptides
in which we varied the positions of the two UAAs (denoted X) in the
peptide sequence, the lengths of the side chains, and the length of
the linker. “n” is the number of methylene
(CH2) groups in the side chain of the UAAs; ‘m’ is the number of carbon/nitrogen atoms between
the two triazole groups in the linker. Special linkers are m5c, a
rigid linker based on napthalene, and m7N, a linear linker made from
a urea derivative described earlier. A dash in the “m” box denotes uncross-linked peptide. The dissociation
constant of the unlabeled linear peptide, pep1, is shown for comparison.
Uncross-linked cp4n4 and cp5n4 were measured as comparisons to their
cross-linked counterpart. A full list of dissociation constants is
given in Table S1.
Crystal Structures of TNKS2 in Complex with the Macrocyclized
Peptides
To aid the design process, we determined the structure
of cp4n4m5 (Figure S2) in complex with
TNKS2 ARC4 (Figure and Figures S6 and S7). This structure
shows that the binding mode of the macrocyclized peptide is very similar
to that of the natural peptides. Specifically, Arg1 of cp4n4m5 forms
two salt bridges with Glu598 and Asp589 of TNKS2 ARC4 (Figure S6a) and Glu2 with TNKS2 Lys557 (Figure S6b). The side chains of the two UAAs,
UAA3 and UAA7, point away from the protein surface, which is crucial
for their ability to form a macrocycle that does not interfere with
protein binding (Figure b). Between UAA3 and UAA7, residues Gly4, Asp5, and Gly6 of the peptide
fit inside a groove on the protein surface (Figure a and Figure S6c) with hydrogen bonding between Asp5 and TNKS2 Ser527 (Figure S6d) and the phenol rings of Tyr569 and
Tyr536 stacking in parallel on either side of Gly6 (Figure S6c). The C-terminal residue of cp4n4m5, Glu8, interacts
with TNKS2 Lys604 via a salt bridge (Figure S6e). We note that the linker is positioned away from the binding surface
and does not perturb the interactions between cp4n4m5 and TNKS2 ARC4
(Figure b), and it
should therefore be possible to install additional functionalities
on the linker without compromising the binding interface. Despite
the high 1.35 Å resolution of the crystal structure, parts of
the UAA side chains and the triazole-containing linkage are poorly
defined in the election density (Figure b). This suggests that shortening the UAA
side chains and the linker should lead to tighter binding by further
reducing conformational flexibility.
Figure 4
(a) Crystal structure of TNKS2 ARC4 (gray
surface) in complex with
the macrocyclized peptide cp4n4m5 (orange carbons; linker in red).
(b) 2Fobs – Fcalc electron density (blue mesh) of the linker and of the
central residues of the peptide (orange; linker in red) contoured
at 1σ, rotated approximately 90° along the horizontal axis
compared to (a).
(a) Crystal structure of TNKS2 ARC4 (gray
surface) in complex with
the macrocyclized peptide cp4n4m5 (orange carbons; linker in red).
(b) 2Fobs – Fcalc electron density (blue mesh) of the linker and of the
central residues of the peptide (orange; linker in red) contoured
at 1σ, rotated approximately 90° along the horizontal axis
compared to (a).Consequently, we next
synthesized UAAs with shorter side chains
and incorporated them into the cp4 sequence. All of the peptides were
synthesized with a TAMRA label at the N-terminus (TAMRA-Ahx-REXGDGXE)
for use in the direct FP assay format. The number (n) of CH2 groups in the side chain of each UAA was varied
between 1 and 3, and the number of carbon/nitrogen atoms (m) between the two triazole groups in the linker was varied
between 3 and 5 (Figure a and b and Table S2). We found that the
binding affinity was always weakened when non-identical UAAs were
used in the same peptide, and it was greatly weakened with UAA side
chain length of n = 1. Upon shortening of the linker,
the binding affinity progressively increased, and rigidifying the
linker by incorporating an aromatic moiety (linker m3c) resulted in
a further increase of the affinity. The macrocyclized peptide with
the highest binding affinity had n = 2 for both UAA
side chains and the rigid linker m3c (labeled T-cp4n2m3c, Figures S2 and S3); its affinity is approximately
2-fold higher than that of the linear peptide T-pep1.
Figure 5
(a) Direct FP measurements
for a subset of the second panel of
TAMRA-labeled peptides based on the cp4 sequence (TAMRA-Ahx-REXDGDXE)
with (b) their binding affinities listed in a table (see Table S2 for the full list of peptides and their
binding affinities). The Kd for T-cp4n1m3
is not detectable (n.d.). (c) Crystal structure of TNKS2 ARC4 (gray
surface) in complex with macrocyclized peptide cp4n2m3 (cyan; linker
in green). Superposition of cp4n2m3 (cyan/green) and cp4n4m5 (orange/red)
in the two structures of the complexed peptides; TNKS2 ARC4 is shown
in gray. (d) 2Fobs – Fcalc electron density, contoured at 1σ, of the linker
and of the central residues of peptide cp4n2m3. (e) Overlay of the
three structures: the complex with the natural substrate peptide LPHLQRSPPDGQSFRS
is shown (PDB ID: 3TWR)[53] (protein: pink; peptide: purple).
Ankyrin repeats 4 and 5 of TNKS2 ARC4-cp4n2m3 (cyan) move by 2–3
Å compared to those in the complex with cp4n4m5 (orange) and
the linear peptide (pink). (f) CD spectra of linear peptides pep1
(green) and cp4n4 (red) and of cross-linked peptides cp4n4m5 (orange),
cp4n2m3 (cyan), and the non-binding cross-linked peptide cp4n1m3 (purple).
(a) Direct FP measurements
for a subset of the second panel of
TAMRA-labeled peptides based on the cp4 sequence (TAMRA-Ahx-REXDGDXE)
with (b) their binding affinities listed in a table (see Table S2 for the full list of peptides and their
binding affinities). The Kd for T-cp4n1m3
is not detectable (n.d.). (c) Crystal structure of TNKS2 ARC4 (gray
surface) in complex with macrocyclized peptide cp4n2m3 (cyan; linker
in green). Superposition of cp4n2m3 (cyan/green) and cp4n4m5 (orange/red)
in the two structures of the complexed peptides; TNKS2 ARC4 is shown
in gray. (d) 2Fobs – Fcalc electron density, contoured at 1σ, of the linker
and of the central residues of peptide cp4n2m3. (e) Overlay of the
three structures: the complex with the natural substrate peptide LPHLQRSPPDGQSFRS
is shown (PDB ID: 3TWR)[53] (protein: pink; peptide: purple).
Ankyrin repeats 4 and 5 of TNKS2 ARC4-cp4n2m3 (cyan) move by 2–3
Å compared to those in the complex with cp4n4m5 (orange) and
the linear peptide (pink). (f) CD spectra of linear peptides pep1
(green) and cp4n4 (red) and of cross-linked peptides cp4n4m5 (orange),
cp4n2m3 (cyan), and the non-binding cross-linked peptide cp4n1m3 (purple).We then synthesized the unlabeled
version of the highest affinity
peptides from this second round of design and determined the structure
of TNKS2 ARC4 in complex with one of them, cp4n2m3 (Figure , and Figures S2, S3, and S7a). When comparing this structure with that of
TNKS2 ARC4-cp4n4m5 and those of previously published natural peptides,[53] we can see that the linkers of both cp4n4m5
and cp4n2m3 are long enough to retain the binding mode of the natural
peptide (Figure S7b). Additionally, the
TNKS2 protein itself appears to have some flexibility for accommodating
the slightly different conformations of the peptides.Both peptides
are more flexible at their respective termini (see Figures S7 and S8), whereas the central regions
make close contacts with TNKS2 ARC4 and adopt virtually identical
conformations in the two macrocyclized peptides (Figure c). The central residues Gly4-Asp5-Gly6
are deeply inserted into a binding cleft of the protein, forming several
hydrogen bonding interactions as well as remarkable π-stacking
interaction, wherein Gly6 is sandwiched between Tyr536 and Tyr569
(Figures b and 5d and Figure S7c). Shortening
of the UAA side chains and the hydrocarbon linker rigidifies the macrocycle,
which is corroborated by the better-defined electron density of cp4n2m3
(Figure d and Figure S7d). The shorter linker of cp4n2m3 pulls
the side chains of peptide residues 3 and 7 slightly inward when compared
with that of the wild-type peptide (PDB ID: 3TWR)[53] and cp4n4m5 (Figure c and Figure S7b).This difference
appears to have an effect on the overall protein
curvature, whereby ankyrin repeats 4 and 5 move by 2–3 Å
(Figure e). Although
we cannot exclude a crystallization artifact caused by changes in
the packing of the complexes in the two different crystal forms (Table S3), we could not observe a change of this
type in any of the previously published linear peptide complexes (PDB
IDs: 3TWR, 3TWS, 3TWT, 3TWU, 3TWV, 3TWW, and 3TWX),[53] and the resolution of 1.33 Å should be sufficient
to reliably observe these differences. This alternative conformation
was very similar to the crystal structure of the apo protein (PDB
ID: 3TWQ; Figure S9a) with the only discernible difference
found in ankyrin repeat 5. Accordingly, this change in protein conformation
mainly affects the C-terminal end of the bound peptide: whereas Glu8
of cp4n4m5 forms a salt bridge with Lys604 (Figure S6e), in cp4n2m3, it instead forms an interaction with Lys602
(Figure S6f). Observed intermittently in
MD simulations of the TNKS2 ARC4-pep1 complex (Figure S9b), this “apo-like” bound conformation
allows for the formation of a novel water network that connects Glu8
and Lys602 with the triazole moiety of UAA3 in the TNKS2 ARC4-cp4n2m3
complex. An MD simulation of the isolated TNKS2 ARC4 sampled mainly
the apo-like bound conformation (Figure S9c). Conformations that are somewhat similar to those observed in the
linear peptide and cp4n4m5 complexes, except for slight differences
in ankyrin repeats 3 and 5, were also sampled (Figure S9c). The fact that the unbound protein is able to
adopt the apo-like bound conformation prior to binding suggests that
conformational selection plays a dominant role in the binding of cp4n2m3,
whereas the requirement for modest conformational changes in two of
the ankyrin repeats suggests that induced fit mechanism is likely
to be prominent in the binding of the linear peptides and cp4n4m5.To better understand the effect of the different macrocycles on
the conformations of the peptides and how any differences might translate
into the order of binding abilities observed, we performed circular
dichroism (CD) on the unlabeled peptides (Figure f). We find that linear pep1 and uncross-linked
cp4n4 exhibit a random-coil conformation, as does the macrocyclic
cp4n4m5. For the higher-affinity binder cp4n2m3, although its CD spectrum
resembles that of a random coil with a minimum at 196 nm, it also
has a small positive maximum at 217–218 nm similar to that
of a collagen;[59] this distinctive secondary
structure is presumably due to the tighter constraint restricting
the flexibility of the peptide backbone. It is consistent with our
goal of designing the macrocycles to restrict the conformations of
the peptides to reduce the entropy cost of binding as further evidenced
in the isothermal titration calorimetry data shown below. When we
further reduce the length of the macrocycle in cp4n1m3, a macrocyclic
peptide with nondetectable Kd for TNKS2
ARC4 (Figure a and
b and Table S2), the CD spectrum indicates
that an α-helical structure is induced by the tighter constraint.
Analysis of the crystal structures also shows clearly that shorter
UAAs (n = 1) would constrain the macrocycle too much
for the peptide to form ideal interactions with the protein, leading
to the observed weaker binding for n = 1 peptides
(Table S2).
Macrocyclized Peptides
Are Resistant to Proteolytic Degradation
For the effects
of macrocyclization on peptide stability to be
tested, representatives of both the linear and the macrocyclized peptides
were subjected to proteolytic degradation using the AspN protease,
which cleaves the N-terminal to aspartates, in this case, Asp5, which
is located within the macrocycle. Protection of the central residues,
Gly4-Asp5-Gly6, is crucial for the integrity of the peptide for fitting
inside the binding groove of the protein. TAMRA-labeled peptides were
used for monitoring the degradation based on the TAMRA signal at 550
nm wavelength. The majority of the linear peptide, T-pep1, was degraded
within 1 h at room temperature, whereas nearly 100% of the macrocyclized
peptide, T-cp4n2m3, remained intact after 4.5 h of peptidase treatment
(Figure S10a). No mass corresponding to
the possible degraded products could be found in the sample of the
treated T-cp4n2m3 after 4.5 h (Figure S10b). These results show that macrocyclization greatly enhances the
stability of the peptide.
Thermodynamics of the TNKS–Peptide
Interactions
Isothermal titration calorimetry (ITC) was used
to characterize the
thermodynamics of the TNKS–peptide interactions (Figure , Figure S11, and Tables S4 and S5). The smaller −TΔS terms obtained for the macrocyclized peptides compared
with linear peptide pep1 are consistent with the goal of macrocyclization,
which is to lock the peptide in an active conformation and thereby
minimize the entropic cost of binding (Figure ). Furthermore, a smaller −TΔS value was obtained for peptide cp4n2m3c with the more
rigid linker compared with that of cp4n2m3, consistent with the success
of this design feature.
Figure 6
Thermodynamic parameters obtained for the binding
of the peptides
to TNKS2 ARC4 and to TNKS1 ARC2–3, as measured by ITC. Error
bars are those obtained from standard derivation of the mean from
duplicate measurements.
Thermodynamic parameters obtained for the binding
of the peptides
to TNKS2 ARC4 and to TNKS1 ARC2–3, as measured by ITC. Error
bars are those obtained from standard derivation of the mean from
duplicate measurements.TNKS proteins contain five ARCs, of which ARC2, 4, and 5
have sites
for recognition by TNKS binding motifs. We therefore also tested the
binding of the peptides to TNKS1 ARC2–3, a construct containing
ARC2 and (non-binding) ARC3, whose structure had previously been solved.[54] We obtained similar results to TNKS2 ARC4 in
terms of the relative ΔS values of pep1 and
the two macrocyclized peptides. We note that all of the peptides tested
bound more tightly to TNKS1 ARC2–3 than to TNKS2 ARC4 (Tables S4 and S5), although the two ARC domains
share almost identical residues at the binding interfaces.We
next compared the thermodynamic parameters of the peptides with
those of the TNKS substrate Axin. Axin is a rate-limiting component
of the β-catenin destruction complex in the Wnt sigaling pathway,
and PARylation of Axin by TNKS leads to Axin degradation by the proteasome.
The crystal structure of mouse TNKS1 ARC2–3 had previously
suggested that dimerization of ARC2–3 occurs upon interaction
with a fragment (residues 1–80) of mouse Axin1[54] because this fragment contains not one but two TNKS binding
motifs, both of which are similar in sequence to the consensus sequence
deduced by Guettler et al.[53] (Figure c). The two motifs
of Axin (residues 18–30 and 60–79) each interact with
one ARC2 subunit in the ARC2–3 dimer. We performed ITC using
fragments of human Axin1, which share high homology to the mouse counterparts.
Our ITC data are consistent with the dimerization of TNKS1 ARC2–3
seen in the crystal structure in that we also observe a stoichiometry
of two TNKS1 ARC2–3 molecules binding to one Axin1_1–80
molecule (Table S5); a stoichiometry of
1 was obtained for the interaction of TNKS2 ARC4 with Axin1_1–80.
Furthermore, the TNKS2 ARC4 binding affinity of Axin1_1–43
(containing only the N-terminal TNKS-binding motif) was similar to
that of Axin1_1–80 (containing both motifs) (Table S4), indicating that the N-terminal motif is the main
contributor to the TNKS2 ARC4 interaction, as was found to be the
case for the TNKS1 ARC2–3 interaction.[54] Lastly, the ITC data show that both cp4n2m3 and cp4n2m3c are better
binders than Axin1 to TNKS1 ARC2–3 as well as to TNKS2 ARC4,
a result that was also confirmed by fluorescence polarization (Tables S4 and S5).
The Macrocyclized Peptides
Disrupt the TNKS–Axin Interaction
Next, we tested
the ability of the peptides to disrupt the TNKS–Axin
interaction using an in vitro pull-down assay with TNKS2 ARC4 and
GST-tagged human Axin1_1–80 immobilized on glutathione beads
(Figure ). The immobilized
TNKS2 ARC4-Axin1_1–80 complex was incubated with increasing
concentrations of linear peptide pep1 or macrocyclized peptide cp4n2m3
for 0.5 h. After washing the resin, the proteins remaining bound to
the resin were analyzed by SDS-PAGE. The results show that pull-down
of TNKS2 ARC4 was disrupted by the peptides in a dose-dependent manner.
Macrocyclized peptide cp4n2m3 was a slightly better inhibitor than
pep1 (IC50 of ∼20 and ∼40 μM, respectively),
reflecting its slightly higher TNKS binding affinity.
Figure 7
Competition of peptides
with GST-tagged human Axin1_1–80
for binding to TNKS2 ARC4. The TNKS2 ARC4-Axin1_1–80 complex,
immobilized on glutathione beads, was incubated with increasing concentrations
of peptide. After washing, the protein remaining bound to the resin
was run on SDS-PAGE. The TNKS2 ARC4 band was quantified using densitometry
and normalized against the GST-Axin1_1–80 band. The data are
plotted relative to the sample without peptide incubation (which was
set at a value of 1).
Competition of peptides
with GST-tagged human Axin1_1–80
for binding to TNKS2 ARC4. The TNKS2 ARC4-Axin1_1–80 complex,
immobilized on glutathione beads, was incubated with increasing concentrations
of peptide. After washing, the protein remaining bound to the resin
was run on SDS-PAGE. The TNKS2 ARC4 band was quantified using densitometry
and normalized against the GST-Axin1_1–80 band. The data are
plotted relative to the sample without peptide incubation (which was
set at a value of 1).
Incorporation of Cell-Penetrating Capability into the Peptide
Linker
We attached one of four different cell-penetrating
peptide (CPP) sequences onto cp4n2m3c via the linker by synthesizing
the CPP sequences with the m3c linker conjugated to their N-termini
(see schematic in Table S6). The two-component
double-click reaction was then performed between the CPP-conjugated
m3c linker and the peptide T-cp4n2 (TAMRA-Ahx-REXGDGXE, where X is
n2). In the case of the penetratin peptide (a 16-residue cell-penetrating
sequence from the Antennapedia homeodomain[60]), we found that we needed two Ahx spacers between the CPP and the
m3c linker for the click reaction to reach completion, as this relatively
long cell-penetrating sequence appeared to otherwise inhibit the click
reaction presumably for steric reasons. Next, we checked the TNKS2
ARC4 binding affinities of the TAMRA-labeled CPP-conjugated peptides
using direct FP (Table S7). For the Arg9 cell-penetrating sequence, when we used the two Ahx spacers
we observed a degree of non-specific binding to TNKS2 ARC4, likely
due to the arginine residues attached via the long flexible spacers
competing with the binding peptide for a hotspot interaction on the
protein, and therefore, this conjugate was not used further. We did
not observe any non-specific binding for the other CPP-conjugated
peptides shown in Table S7. All four exhibited
TNKS binding affinities that are similar to that of the unconjugated
counterpart T-cp4n2m3c. We next tested the cell-penetrating capabilities
of the TAMRA-labeled peptides using U2OS and HEK 293T cells. Three
of the CPP-conjugated macrocyclized peptides, T-cp4n2m3c-R6, T-cp4n2m3c-R9, and T-cp4n2m3c-Antp, showed significant
fluorescence spreading across the whole cell even at the lowest concentration
of 10 μM. In contrast, T-cp4n2m3c-LCLR (LCLR is a cell-penetrating
tetrapeptide derived from the X-protein of the hepatitis B virus[61,62]) and the non-conjugated peptides T-cp4n2m3 and T-cp4n2m3c exhibited
only punctate fluorescence indicative of endosomal entrapment, and
the linear peptide T-pep1 showed very weak fluorescence or no fluorescence
at all (Figure S12).
The Macrocyclized
Peptides inhibit Wnt Signaling
A
dual-luciferase reporter (DLR) assay in Wnt-activated HEK 293T cells
was used to determine the ability of the peptides to modulate β-catenin
levels and suppress Wnt transcription. Unlabeled CPP-conjugates, rather
than the TAMRA-labeled versions, were used in the experiments because
rhodamine-based fluorescent labels have been found to cause cytotoxicity
once they are transported intracellularly with the aid of CPP peptides.[63] Treatment of HEK 293T cells with an increasing
concentration of unlabeled peptide cp4n2m3c-Antp (containing the penetratin
sequence on the linker) led to a dose-dependent decrease in Wnt pathway
reporter activity with an IC50 around 50 μM (Figure ). There was no observed
change in the level of the control Renilla luciferase activity, indicating
that peptide treatment had no effect on transcription in general.
Moreover, treatment with non-cell-penetrating peptides pep1 or cp4n2m3c
had no effect on Wnt reporter activity, nor did treatment with cp4n1m3c-Antp
(a cell-penetrating version of the non-binding peptide cp4n1m3c) (Table S2), thereby satisfying these specificity
controls. Figure S13 shows that none of
the unlabeled peptides were cytotoxic at the concentrations used in
the Wnt signaling assays.
Figure 8
Effect on Wnt-activated HEK 293T cells of treatment
with representative
peptides. Error bars are those obtained from triplicate sample measurements
from two independent experiments.
Effect on Wnt-activated HEK 293T cells of treatment
with representative
peptides. Error bars are those obtained from triplicate sample measurements
from two independent experiments.
Summary
Here, we employed molecular dynamics simulations,
two-component
double-click macrocyclization, and combinatorial use of different
non-natural amino acids and cross-linkers to constrain peptides that
have extended bioactive conformations. We demonstrate the application
of this approach to design inhibitors of the substrate-recognition
domain of the TNKS proteins whose activity is deregulated in numerous
cancers. One advantage of the two-component strategy is that the peptide
and the linker can be engineered separately and then used in a combinatorial
fashion to efficiently generate an array of molecules. With the consensus-optimized
substrate sequence as a starting point, we used an iterative process
of macrocyclized peptide design in which we varied the length and
rigidity of the linker as well as its position along the peptide.
The design was further guided by determining the crystal structures
of two of the macrocyclized peptides in complex with TNKS. In this
way, we identified peptides with submicromolar TNKS binding affinities
that are proteolytically stable and capable of disrupting the interaction
between TNKS and the Axin substrate in a dose-dependent manner. We
exploited the two-component nature of the macrocyclization method
to introduce cell-penetrating capability via the linker, and we showed
that these peptides are indeed able to enter cells and modulate β-catenin
levels. Thus, these macrocylized peptides represent a promising new
class of substrate-competitive inhibitors of TNKS with potential for
suppressing Wnt signaling in cancer. Moreover, we have demonstrated
that double-click macrocyclization can be applied to non-helical,
extended, or irregularly structured peptide conformations; we have
also recently used it to develop constrained peptide inhibitors of
the hepatocyte nuclear factor 1β transcription factor (HNF1β)–Importin
α interaction in ovarian clear cell carcinoma.[64] Thus, the double-click macrocyclization strategy has a
broad scope, especially given the frequency with which non-helical
motifs are found in mediating PPIs.
Experimental
Section
Molecular Dynamics Simulations
The structure of human
TNKS2 ARC4 bound to a 3BP2-derived peptide (PDB ID: 3TWR(53)) was used to model the complex of TNKS2 ARC4 and the consensus
tankyrase-binding peptide. The 3BP2-derived peptide was truncated
to the core binding 8-residue motif (RSPPDGQS) and then modified
into the consensus peptide (REAGDGEE) by using the
tleap module of AMBER 11 to change the side chains of the mutated
residues. The consensus peptide was capped by acetyl and amide groups.
Protonation states of the complex were determined by PDB2PQR.[65] The LEaP program in AMBER 11 was then used to solvate the
complex with TIP3P[66] water molecules in
a truncated octahedral box, such that its walls were at least 9 Å
away from any atom of the protein or peptide, followed by neutralization
of the system with seven sodium ions.Three independent explicit-solvent
MD simulations of the modeled tankyrase complex were carried out using
different initial atomic velocities. A separate MD simulation of the
unbound TNKS2 ARC4 was also carried out. Energy minimizations and
MD simulations were performed using the ff99SB-ILDN[67] force field with the sander and PMEMD modules of AMBER
11,[68] respectively. SHAKE[69] was applied to constrain all bonds involving hydrogen atoms,
allowing for a time step of 2 fs. Non-bonded interactions were truncated
at 9 Å, whereas the particle mesh Ewald[70] method was used to account for long-range electrostatic interactions
under periodic boundary conditions. Weak harmonic positional restraints
with a force constant of 2.0 kcal mol–1 Å–2 were placed on the complex’s non-hydrogen
atoms during the minimization and initial equilibration steps. Energy
minimization was carried out using the steepest descent algorithm
for 500 steps, followed by the conjugate gradient algorithm for another
500 steps. The system was then heated at constant volume to 300 K
over 50 ps, followed by equilibration at a constant pressure of 1
atm for another 50 ps. Subsequent unrestrained equilibration (2 ns)
and production (50 ns) runs were carried out at a constant temperature
of 300 K using a Langevin thermostat[71] with
a collision frequency of 2 ps–1 and a constant pressure
of 1 atm using a Berendsen barostat[72] with
a pressure relaxation time of 2 ps.The protein structures generated
by the simulations were clustered
using the ART-2 algorithm[73] based on the
root-mean-square deviation (RMSD) of the Cα atoms. Cut-off radii
of 1.4 and 1.3 Å were used to generate the clusters for the unbound
and complex simulations, respectively. The cluster members with the
lowest RMSD from their respective centroids were selected as representative
structures for structural alignment.
Computational Alanine Scanning
Computational alanine
scanning was carried out on the peptide from 200 equally spaced complex
structures extracted from the last 30 ns of the MD simulations deemed
stably equilibrated. The differences in the binding free energies
(ΔΔG) of the wild-type and alanine mutants
(or glycine mutant for Ala3) were calculated using the molecular mechanics/generalized
Born surface area (MM/GBSA) method.[74] All
programs used for MM/GBSA calculations were part of AMBER 11. Molecular
mechanical energies were calculated with the sander module of AMBER
11. The polar contribution to the solvation free energy was calculated
by the pbsa program using the modified GB model described by Onufriev
et al.,[75] and the nonpolar contribution
was estimated from the solvent accessible surface area using the linear
combinations of pairwise overlaps method[76] with γ set to 0.0072 kcal/Å2 and β set
to zero.[77] The entropy term was not considered
due to the high computational cost and the assumption that the entropy
of the mutant does not differ considerably from that of the wild type.[78]
Peptide Synthesis and Macrocyclization
The Fmoc-protected
azido-functionalized amino acids were synthesized as described previously.[79] All TNKS binding peptides were synthesized manually
on Rink Amide MBHA resin (0.65 mmol/g, 100–200 mesh, Novabiochem)
using a Vac-Man Laboratory Vacuum Manifold (Promega) according to
the standard Fmoc-based solid-phase peptide synthesis (SPPS) method.[80−82] The N-terminus of the peptide was either capped by acetylation or
coupled with a spacer aminohexanoic acid followed by 5-carboxytetramethylrhodamine
(5-TAMRA). Cell-penetrating peptides were synthesized manually or
on an automated microwave peptide synthesizer (Liberty Blue, CEM)
on Rink Amide MBHA LL resin (0.38 mmol/g, 100–200 mesh, Novabiochem),
and linker m3c was attached to the N-terminal end of the peptides
by manual SPPS. All peptides were cleaved from the resin in a TFA
cocktail containing 92.5% (v/v) TFA, 2.5% (v/v) water, 2.5% (v/v)
triisopropylsilane, and 2.5% (v/v) dichloromethane. The eluate was
dried, and the cleaved peptide was precipitated with diethyl ether,
redissolved in 1:1 (v/v) water/acetonitrile, filtered, and lyophilized.
The crude peptide was purified on a semi-preparative HPLC Agilent
1260 infinity using a Supelcosil ABZ+PLUS column (alkyl-amide phase,
250 mm × 21.2 mm, 5 μm), eluting with a linear gradient
system (solvent A: 0.1% (v/v) TFA in water; solvent B: 0.05% (v/v)
TFA in acetonitrile). The purity of the peptide was checked on an
analytical HPLC (Agilent 1260 Infinity, Supelcosil ABZ+PLUS column
(150 mm × 4.6 mm, 3 μm)), eluting with a linear gradient
system (solvent A: 0.05% (v/v) TFA in water; solvent B: 0.05% (v/v)
TFA in acetonitrile). The purified peptides were lyophilized and analyzed
by LCMS.The double-click reaction was carried out to cross-link
the azido-functionalized peptides with dialkynyl functionalized linkers.[83] The aliphatic linkers were purchased from Sigma-Aldrich,
and all others were synthesized according to protocols previously
described.[56−58] All solvents for the reaction were degassed with
nitrogen for 1 h before use. The dialkynyl linker (1.1 equiv) was
added to the diazido-peptide in 1:1 (v/v) water and tert-butanol under nitrogen before the addition of a solution of copper(II)
sulfate pentahydrate (1 equiv), tris(3-hydroxypropyltriazolylmethyl)amine
(THPTA, 1 equiv), and sodium ascorbate (3 equiv) in water. The reaction
mixture was stirred for 16 h at room temperature and monitored by
LCMS. A second aliquot of linker and catalyst was added for those
reactions that had not run to completion. The crude product was purified
on the semi-preparative HPLC as described above. The purified macrocyclized
peptide was lyophilized and analyzed by infrared spectrometry (IR)
and high-resolution mass spectrometry.
Protein Purification
Genes for human TNKS1_179–966
and TNKS2_488–649 were purchased from Epoch Life Science, and
that for human Axin1_1–80 was purchased from Life Technologies.
TNKS1_315–662, TNKS2_488–649, Axin1_1–43, Axin1_1–80
were cloned into expression vector pRSETa (GE Healthcare) or pGEX
using standard molecular biology methods. Proteins were expressed
and purified according to procedures reported previously with modifications.[53,54] The plasmid containing each construct was transformed to E. coli C41(DE3) cells, and the colonies were grown in 2TY
media at 37 °C until OD 600 reached 0.6–1.0 and were then
induced at 20–25 °C with 0.2–0.5 mM IPTG for 16
h. Cell pellets were collected and resuspended in 50 mM Tris·HCl
buffer pH 8.0, 500 mM NaCl, 2 mM DTT, protease inhibitor cocktail
(Sigma-Aldrich), 10 mM EDTA for GST-tagged TNKS2_488–649, Axin1_1–43,
and Axin1_1–80. For His6-tagged TNKS1_315–662,
10 mM EDTA was replaced with 10 mM imidazole. The cells were lysed
using an Emulsiflex C5 homogenizer, and the lysate was added to either
Ni-NTA agarose (QIAGEN) or Glutathione Sepharose 4B beads (GE Healthcare).
The bound His6- or GST-tagged protein was washed with the
same resuspension buffer but without the protease inhibitor, and the
tag was cleaved with thrombin (25 U per liter of culture) overnight
at 25 °C. The desired protein was purified to >95% homogeneity
on a size-exclusion gel-filtration column (HiLoad 16/60 Superdex G75)
equilibrated with loading buffer of 50 mM HEPES buffer pH 7.5, 300
mM NaCl, 2 mM DTT. For protein crystallization, TNKS2_488–649
was expressed and purified using the same protocol, except that the
loading buffer was 20 mM HEPES buffer pH 7.5, 150 mM NaCl, 0.5 mM
TCEP.
X-ray Crystallography
For the cocrystal structure of
TNKS2 488–649 in complex with cp4n4m5, 0.3 μL of 1 mM
TNKS2_488–649 and 5 mM cp4n4m5 in 20 mM HEPES pH 7.5, 150 mM
NaCl, 0.5 mM TCEP, 5% (v/v) DMSO were mixed with 0.3 μL of precipitant
solution containing 1.60 M trisodium citrate in a sitting drop vapor
diffusion experiment at 19 °C. Plate-like crystals grew to their
final size in 14 days. For the crystal structure of TNKS2 488–649
in complex with sp4n2m3, a mixture of 0.3 μL of 1 mM TNKS2_488–649
and 2.9 mM cp4n2m3 in 10 mM HEPES pH 7.5, 75 mM NaCl, 0.25 mM TCEP,
5% (v/v) DMSO was mixed with 0.3 μL of precipitant solution
containing 3.20 M ammonium sulfate and 0.1 M trisodium citrate pH
5.0 in a sitting drop vapor diffusion experiment at 19 °C. Needle-like
crystals appeared after 4 days and grew to the final length of 420
μm after 12 days. Data were collected at Diamond Light Source
beamlines I24 and I04-1 and processed with autoPROC[84]/XDS[85] to 1.35 and 1.33 Å,
respectively (Table S3). Phases were obtained
through molecular replacement using PHASER[86] with PDB 3TWQ(53) as the search model. Iterative model
building and refinement were subsequently performed with Coot[87] and REFMAC5.[88] The
structures have been deposited in the Protein Data Bank with codes 5BXU (TNKS2 ARC4–cp4n4m5
complex) and 5BXO (TNKS2 ARC4–cp4n2m3 complex). For the comparative analysis,
the Cα-atoms of the TNKS2 residues were aligned within a 7 Å
radius around the peptide/macrocycle binding site to avoid changes
in curvature having a significant impact on the analysis.
Fluorescence
Polarization Assays
Fluorescence polarization
(FP) assays were performed in 96-well half area black microplates
(Corning) on a CLARIOstar microplate reader (BMG labtech) using excitation
filter 540–20 nm, dichroic mirror LP 566 nm, and emission filter
590–20 nm. All peptides were dissolved in water as stock solutions.
For direct FP assays, the stock concentrations of the TAMRA-labeled
peptides were determined based on the 5-TAMRA absorbance at 556 nm
(extinction coefficient ε = 89,000 M–1 cm–1) measured on a NanoDrop 2000 (Thermo Scientific)
and verified by amino acid analysis (Department of Biochemistry, University
of Cambridge). TNKS2 ARC4 (488–649) or TNKS1 ARC2–3
(315–662) was diluted 2-fold serially in the assay buffer (50
mM HEPES pH 7.5, 300 mM NaCl, 2 mM DTT, 0.05% (v/v) Tween 20) for
a 12-point titration curve in triplicate. The diluted TAMRA-labeled
peptide (20 nM, 50 μL) was mixed with the serially diluted TNKS2
ARC4 or TNKS1 ARC2–3 (40–0 μM, 50 μL) in
each well and incubated for 30 min at 25 °C before the measurement.
Data were analyzed on GraphPad Prism 5.0, and the dissociation constant, Kd, was determined using the following equation
assuming the ratio between the concentration of the bound and that
of the total TAMRA-labeled peptide is proportional to the fluorescence
polarizationwhere FP is the fluorescence
polarization, B is the minimum FP, T is the maximum FP, L0 is the total concentration of TAMRA-labeled
peptide, P0 is the total concentration
of protein, and Kd is the dissociation
constant.For the competition FP assays, the stock concentrations
of the unlabeled macrocyclized peptides or the Axin1 fragments were
determined by amino acid analysis. TAMRA-labeled pep1 (20 nM) and
TNKS2 ARC4 (3 μM) or TNKS1 ARC2–3 (1.2 μM) were
incubated in PBS buffer containing 0.05% (v/v) Tween 20. The unlabeled
peptide or Axin1 fragment was diluted 2-fold serially in PBS buffer
containing 0.05 (v/v) Tween 20 for a 12-point titration curve in triplicate.
The diluted peptide or Axin1 fragment (50 μL) was mixed with
the TAMRA-pep1/TNKS solution (50 μL) in each well and incubated
for 30 min at 25 °C before the measurement was taken. Titrations
were performed in triplicate. Data were fitted in GraphPad Prism 5.0
using the equations as described previously.[89]
Circular Dichroism (CD) Spectroscopy
CD spectra were
recorded on a Chirascan CD spectrometer (Applied Photophysics), fitted
with a water bath and using a 1 mm path length cell. Unlabeled peptides
(0.1 mM) were prepared in water, and the spectra were recorded at
25 °C. Four separate measurements were made, and the mean molar
ellipticity, θ, was then plotted against the wavelength.
Isothermal
Titration Calorimetry (ITC)
All ITC experiments
were performed on a MicroCal iTC200 (GE Healthcare) at 25 °C.
TNKS2 ARC4 (488–649), TNKS1 ARC2–3 (315–662),
and Axin1 fragments were dialyzed overnight in PBS and 0.5 mM TCEP.
Unlabeled peptides were used in the experiments. The peptide was diluted
from the stock solution using the same dialysis buffer, and the effect
of buffer dilution was accounted for when preparing TNKS samples.
TNKS2 ARC4 (160–280 μM) or TNKS1 ARC2–3 (60–150
μM) was titrated into the sample cell containing the peptide
(5–15 μM) or Axin1 fragments (8–12 μM) with
an initial injection of 0.2 μL over 0.4 s followed by 19 injections
of 2 μL over 4 s with a spacing of 60 s, except for TNKS2 ARC4
and Axin1 fragments for which the spacing was 70 s. Control experiments
were performed using the same settings as above except that the cell
was filled with dialysis buffer. Data were fitted with nonlinear regression
using a one-site binding model from Origin 7.0 (MicroCal, Inc.).[90]
Pull-Down Assay
GST-tagged human
Axin1_1–80
was incubated with Glutathione Sepharose 4B beads (GE Healthcare)
for 1 h at 4 °C. The beads were washed 3 times with wash buffer
(50 mM Tris·HCl pH 8.0, 500 mM NaCl, 2 mM DTT). Approximately
80 μg of GST-tagged Axin1_1–80 (10 μL) on beads
was incubated with TNKS2 ARC4 (40 μL, 89 μM) or His6-tagged TNK1 ARC2–3 (50 μL, 100 μM) for
0.5 h at room temperature. The unbound TNKS protein was washed away
with wash buffer (150 μL × 2), and the beads were incubated
at room temperature for 0.5 h with the serially diluted unlabeled
peptide (50 μL, 0–200 μM). The beads were subsequently
washed twice (150 μL × 2), boiled with SDS, and loaded
on the SDS-PAGE protein gels. After the run, the gels were stained
with Coomassie Brilliant Blue and imaged. The intensities of the bands
were analyzed using ImageJ, and the standard deviations were calculated
from two independent experiments.
Proteolytic Degradation
Endoproteinase AspN (50 ng,
New England BioLabs) was added to a mixture of TAMRA-labeled peptide
(400 μM), TAMRA (100 μM), and Endoproteinase AspN enzyme
buffer (New England BioLabs), and the volume was made up to 50 μL
with sterile water. The reaction was incubated with shaking at 550
rpm at 25 °C. At each time point, a 5 μL aliquot was taken
and centrifuged at 10,000 rpm at 4 °C, and the supernatant was
diluted 4 times with water before being loaded onto an analytical
HPLC (Agilent 1260 Infinity, Supelcosil ABZ+PLUS column (150 mm ×
4.6 mm, 3 μm)) and eluted with a linear gradient system (solvent
A: 0.05% (v/v) TFA in water; solvent B: 0.05% (v/v) TFA in acetonitrile).
TAMRA-labeled T-pep1 was run with a linear gradient of 5–95%
solvent B over 5 min, and TAMRA-labeled cp4n2m3 was run with 5–40%
solvent B over 20 min. The cleavage of the TAMRA-labeled peptide was
monitored at 550 nm, and the integral of the peptide peak was measured
against that of TAMRA as the internal standard. After 270 min, the
remaining sample containing TAMRA-labeled T-cp4n2m3 was submitted
to LCMS, and no mass corresponding to the hydrolyzed macrocyclized
peptide could be observed. The plot (Figure S10a) is representative of one of the two independent experiments.
Cellular Uptake Assay
U2OS or HEK 293T cells were grown
to 100% confluency before being used in all assays. Cells (106) were seeded in glass-bottom dishes (35 mm diameter, MatTek
Corporation) and grown for 16 h at 37 °C and 5% CO2 in 1 mL of DMEM (1×) + GlutaMAX-1 (Life Technologies). Cells
were then incubated with TAMRA-labeled peptides (10–40 μM)
for 4.5 h, followed by a further 0.5 h incubation with Hoechst 33342
nucleic acid stain (5 μg/mL) at 37 °C and 5% CO2 before being washed with PBS (2 × 1 mL) and replenished with
1 mL of HBSS (1×) (Life Technologies). Confocal images were taken
at 37 °C on a Leica TCS SP5 confocal microscope with sequential
excitation at 405 and 543 nm, respectively. The gains were adjusted
to be the same among all cell samples.
Cell Toxicity Assay
U2OS cells (2 × 105) or HEK 293T cells (2 ×
105) were seeded in a 96-well
cell culture plate (Corning Costar) and grown for 16 h at 37 °C
and 5% CO2 in 100 μL of DMEM (1×) + GlutaMAX-1
(Life Technologies) containing 10% (v/v) fetal bovine serum and penicillin-streptomycin.
Cells were then incubated with the unlabeled peptides (50 and 100
μM) for 5 h at 37 °C and 5% CO2. A maximum LDH
release control was prepared by adding 10× Lysis Solution (10
μL, Promega) to the cells and incubated at 37 °C for 45
min before the measurement. The supernatant (50 μL) from each
well was transferred to a clear flat-bottom 96-well microplate, and
the assay was performed using a CytoTox 96 Nonradioactive Cytotoxicity
Assay (Promega) according to the manufacturer’s protocol. The
LDH release indicated by the absorbance at 490 nm was measured on
a CLARIOstar microplate reader (BMG Labtech). Data were obtained from
triplicate samples, and the standard deviations were calculated from
two independent experiments.
TOPFLASH Assay
HEK 293T were grown in Dulbecco’s
Modified Eagles Medium (DMEM) supplemented with 10% fetal calf serum.
Wnt pathway activity was induced by treating cells with 20 mM LiCl
(or KCl as control) or conditioned media obtained from L-cells expressing
Wnt3A for 6 h. Cells were transfected with the Lipofectamine 2000
transfection reagent according to the manufacturer’s protocol
(Invitrogen).For TOPFLASH reporter assays, 100 ng of TOPFLASH
plasmid and 10 ng of CMV-Renilla plasmid (as internal control) were
used to transfect cells in 24-well plates. Transfected cells were
allowed to recover for 8 h, and concurrently treated with unlabeled
macrocyclized peptides and Wnt3A conditioned media/LiCl for a further
16 h. TOPFLASH assays were performed using the Dual-Luciferase Reporter
Assay System (Promega) as previously described.[91] Relative luciferase values were obtained from triplicate
samples (from two independent experiments) by dividing the firefly
luciferase values (from TOPFLASH) by the Renilla luciferase values
(from CMV-renilla), and standard deviations were calculated.
Authors: Simon W Jones; Richard Christison; Ken Bundell; Catherine J Voyce; Sarah M V Brockbank; Peter Newham; Mark A Lindsay Journal: Br J Pharmacol Date: 2005-08 Impact factor: 8.739
Authors: Loren D Walensky; Andrew L Kung; Iris Escher; Thomas J Malia; Scott Barbuto; Renee D Wright; Gerhard Wagner; Gregory L Verdine; Stanley J Korsmeyer Journal: Science Date: 2004-09-03 Impact factor: 47.728
Authors: Sven T Sowa; Carlos Vela-Rodríguez; Albert Galera-Prat; Mariana Cázares-Olivera; Renata Prunskaite-Hyyryläinen; Alexander Ignatev; Lari Lehtiö Journal: Sci Rep Date: 2020-07-23 Impact factor: 4.379