Hao Sun1,2, Baofu Qiao3, Wonmin Choi1, Nicholas Hampu1, Naneki C McCallum1, Matthew P Thompson1, Julia Oktawiec1, Steven Weigand4, Omar M Ebrahim1, Monica Olvera de la Cruz1,3,5, Nathan C Gianneschi1,3,6. 1. Department of Chemistry, International Institute for Nanotechnology, Northwestern University, Evanston, Illinois 60208, United States. 2. Department of Chemistry and Chemical & Biomedical Engineering, University of New Haven, West Haven, Connecticut 06516, United States. 3. Department of Materials Science & Engineering, Northwestern University, Evanston, Illinois 60208, United States. 4. Dupont-Northwestern-Dow Collaborative Access Team (DND-CAT) Synchrotron Research Center, Northwestern University, Argonne, Illinois 60208, United States. 5. Department of Chemical & Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States. 6. Department of Biomedical Engineering, Department of Pharmacology, Chemistry of Life Processes Institute, Simpson Querrey Institute, Northwestern University, Evanston, Illinois 60208, United States.
Abstract
Peptide-brush polymers (PBPs), wherein every side-chain of the polymers is peptidic, represent a new class of proteomimetic with unusually high proteolytic resistance while maintaining bioactivity. Here, we sought to determine the origin of this behavior and to assess its generality via a combined theory and experimental approach. A series of PBPs with various polymer backbone structures were prepared and examined for their proteolytic stability and bioactivity. We discovered that an increase in the hydrophobicity of the polymer backbones is predictive of an elevation in proteolytic stability of the side-chain peptides. Computer simulations, together with small-angle X-ray scattering (SAXS) analysis, revealed globular morphologies for these polymers, in which pendant peptides condense around hydrophobic synthetic polymer backbones driven by the hydrophobic effect. As the hydrophobicity of the polymer backbones increases, the extent of solvent exposure of peptide cleavage sites decreases, reducing their accessibility to proteolytic enzymes. This study provides insight into the important factors driving PBP aqueous-phase structures to behave as globular, synthetic polymer-based proteomimetics.
Peptide-brush polymers (PBPs), wherein every side-chain of the polymers is peptidic, represent a new class of proteomimetic with unusually high proteolytic resistance while maintaining bioactivity. Here, we sought to determine the origin of this behavior and to assess its generality via a combined theory and experimental approach. A series of PBPs with various polymer backbone structures were prepared and examined for their proteolytic stability and bioactivity. We discovered that an increase in the hydrophobicity of the polymer backbones is predictive of an elevation in proteolytic stability of the side-chain peptides. Computer simulations, together with small-angle X-ray scattering (SAXS) analysis, revealed globular morphologies for these polymers, in which pendant peptides condense around hydrophobic synthetic polymer backbones driven by the hydrophobic effect. As the hydrophobicity of the polymer backbones increases, the extent of solvent exposure of peptide cleavage sites decreases, reducing their accessibility to proteolytic enzymes. This study provides insight into the important factors driving PBP aqueous-phase structures to behave as globular, synthetic polymer-based proteomimetics.
Peptides are relatively
short chains of amino acids that play crucial
roles in human physiology, for example, as hormones, and represent
some of the most promising candidates for therapeutics because of
their biocompatibility, high selectivity, predictable metabolism,
and a high degree of modularity in molecular design.[1−5] However, the development of therapeutic peptides presents established
challenges that include their lack of cell penetration, lack of multivalency,
low molecular weight, and short half-life in biological systems due
to proteolytic digestion and clearance.[4,5] Indeed, digestive,
or hydrolytic proteases, are ubiquitous, from intracellular organelles
(lysosomes) to organs and tissues including in the digestive system
and blood.[6,7]The design of proteolytically stable
peptides typically relies
on chemical modification of the amino acid composition and sequence.[8−11] Approaches include cyclization, implementation of d-amino
acids, conjugation with polyethylene glycol, N-methylation,
and substitutions, rendering peptides unrecognizable by, or inaccessible
to, the active sites of proteases.[12] Moreover,
peptidomimetic strategies are time-consuming and often alter or decrease
bioactivity compared to the original peptide sequence.[13] It is therefore desirable to employ simple,
generalizable modifications amenable to arbitrary peptide sequences
that render them resistant to degradation without altering their bioactivity.Peptide-brush polymers (PBPs), where every repeating unit consists
of a peptide side-chain, represent an important class of cylindrical
polymer brushes.[14−19] These can be accessed via either graft-through polymerization of
sequence-defined peptide-based monomers[14,20−24] or graft-from polymerization of N-carboxyanhydrides
on macroinitiators.[15,16] In particular, our lab has observed
that norbornenyl-modified peptides polymerized via ring-opening metathesis
polymerization (ROMP) yield brush polymers with exceptional resistance
to proteolytic digestion while retaining bioactivity.[20,21] Herein, we direct our attention to the structure–property
relationship of this class of brush polymer, wherein every monomer
is peptide-modified and incorporated via graft-through polymerization,
and ask specific questions: (i) Is the observed proteolytic
stability a general phenomenon or one that is specific to certain
privileged polymer backbone chemistries? (ii) What
are the conformations adopted by the resulting polymers relative to
one another? (iii) What structural and chemical parameters
of the polymer backbones elicit proteolytic stability of the side-chain
peptides? Understanding the structure of this type of brush polymer
provides insight into their interactions with proteases and the design
of multivalent peptide–polymer conjugates with tunable proteolytic
stability and bioactivity that represent a novel class of synthetic,
polymer-based proteomimetic,[52] or protein-like
polymer.[23]
Results and Discussion
To explore the role of polymer backbones in conferring proteolytic
stability, we first designed PBPs with four different polymer backbones
but with the same peptide sequence (Figure ). Four peptide monomers were prepared by
solid-phase peptide synthesis, giving rise to peptide acrylamide (PepAm),
peptide methacrylamide (PepMAm), peptide norbornylamide (PepNorAm),
and peptide norbornylimide (PepNorIm) (Figures , and S1). In
each case, the peptide sequence used was a protease substrate (GPLGLAGGWGERDGS)
for the zinc metalloproteinase, thermolysin (Figure a,b).[24] Electrospray
ionization mass spectrometry (ESI-MS) and reverse-phase high-performance
liquid chromatography (RP-HPLC) verified the identity and purity of
the monomers (Figures S2–6). The
RP-HPLC elution time of the monomers increases in the order of PepAm,
PepMAm, PepNorAm, and PepNorIm, suggesting an upward trend in their
hydrophobicity (Figure S2). This increase
in the hydrophobicity of the polymer backbones was, in turn, predicted
by all-atom explicit solvent MD simulations, specifically, the interaction
energies between PBP backbone atoms and between PBP molecules (Table S6).
Figure 1
Polymer backbone structures of peptide-brush
polymers (PBPs) determine
the proteolytic stability of the peptide side-chains. (a) Chemical
structures of the set of PBPs (DP = 15). (b) Chemical structure of
the peptide (amino acid sequence: GPLGLAGGWGERDGS) used
in this study. This peptide is a thermolysin substrate that is selectively
cleaved between glycine and leucine with the cleavage site highlighted
in orange. (c) Gel permeation chromatography (GPC) traces of PBPs
using phosphate-buffered saline (PBS) as the mobile phase. The molecular
weights of polymers in PBS are similar to their theoretical values,
indicating the predominance of single polymer chains (see Table S1 for detailed molecular weight information).
(d) Schematic illustration of proteolytic digestion of peptide-brush
polymers in the presence of thermolysin using a representative polymer
poly(PepNorAm15). (e) Proteolysis kinetics of PBPs and
the free peptide revealed by HPLC (Figures S20–24). The molar concentrations of peptide substrate and thermolysin
are 200 and 0.05 μM, respectively. The material poly(PepNorIm15) exhibits the highest proteolytic stability among all polymers.
Data displayed as mean ± standard deviation of three independent
experiments. (f) Catalytic efficiency (kcat/Km) of thermolysin in proteolysis of
PBPs derived from nonlinear Michaelis–Menten Kinetics (see Figure S25 and Table S3 for details). The catalytic
efficiency of the thermolysin-induced cleavage of poly(PepNorIm15) is markedly lower than all other polymers, indicative of
the slowest proteolysis of poly(PepNorIm15) against thermolysin.
Polymer backbone structures of peptide-brush
polymers (PBPs) determine
the proteolytic stability of the peptide side-chains. (a) Chemical
structures of the set of PBPs (DP = 15). (b) Chemical structure of
the peptide (amino acid sequence: GPLGLAGGWGERDGS) used
in this study. This peptide is a thermolysin substrate that is selectively
cleaved between glycine and leucine with the cleavage site highlighted
in orange. (c) Gel permeation chromatography (GPC) traces of PBPs
using phosphate-buffered saline (PBS) as the mobile phase. The molecular
weights of polymers in PBS are similar to their theoretical values,
indicating the predominance of single polymer chains (see Table S1 for detailed molecular weight information).
(d) Schematic illustration of proteolytic digestion of peptide-brush
polymers in the presence of thermolysin using a representative polymer
poly(PepNorAm15). (e) Proteolysis kinetics of PBPs and
the free peptide revealed by HPLC (Figures S20–24). The molar concentrations of peptide substrate and thermolysin
are 200 and 0.05 μM, respectively. The material poly(PepNorIm15) exhibits the highest proteolytic stability among all polymers.
Data displayed as mean ± standard deviation of three independent
experiments. (f) Catalytic efficiency (kcat/Km) of thermolysin in proteolysis of
PBPs derived from nonlinear Michaelis–Menten Kinetics (see Figure S25 and Table S3 for details). The catalytic
efficiency of the thermolysin-induced cleavage of poly(PepNorIm15) is markedly lower than all other polymers, indicative of
the slowest proteolysis of poly(PepNorIm15) against thermolysin.Monomers were subjected to either ROMP for PepNorAm
and PepNorIm
or photoinduced reversible addition–fragmentation transfer
radical polymerization (photo-RAFT) for PepAm and PepMAm (Figure S7). The excellent functional group tolerance
of ROMP and photo-RAFT enabled the preparation of poly(PepNorIm),
poly(PepNorAm), poly(PepMAm), and poly(PepAm) with similar degrees
of polymerization as well as similarly narrow molecular weight distributions
(Table S1). Nuclear magnetic resonance
(NMR) spectroscopy confirmed the disappearance of monomer signals
in the final solution (Figures S8–11). Additionally, organic-phase gel permeation chromatography (GPC)
revealed that the molecular weights of all PBPs are on par with their
theoretical values, as evidence for controlled ROMP and photo-RAFT
polymerizations in each case (Figure S12 and Table S1). Aqueous-phase GPC was then used to assess the molecular
weights of PBPs in phosphate-buffered saline (PBS) buffer (Figure c). The molecular
weights of PBPs agree well with their theoretical, targeted molecular
weights (Table S1), supporting that PBPs
are single-chain particles and are not aggregated in aqueous solution
(i.e., PBS). Dynamic light scattering analysis further corroborated
these observations, showing no aggregates over 10 nm in hydrodynamic
diameter for all PBPs (Figure S13).The nanoscale morphology of these PBPs was further examined using
small-angle X-ray scattering (SAXS). Background-subtracted SAXS patterns
for all PBPs displayed a distinct shoulder at intermediate values
of q that is characteristic of compact, globular
objects (Figure S14a,b). Indeed, the shape
of these SAXS patterns qualitatively resembles the shape of the scattering
pattern of the known globular protein bovine serum albumin.[25−27] Kratky plots of each PBP revealed bell-shaped curves with a clear
local maximum, suggesting that each brush polymer has a compact structure
generated by folded chains (Figure S14c).[25,28] This conclusion was further supported by
calculating the Stokes ratio, ρ = Rg/Rh, for each PBP (Table S2). Generally, for the PBPs, ρ was approximately
0.776, consistent with the expected behavior for spherical particles,
including globular proteins.[29,30]We next examined
the susceptibility of the peptide side-chains
to proteolytic degradation in the presence of the zinc metalloproteinase,
thermolysin. For the parent, the free oligopeptide sequence, ESI-MS
analysis confirmed that thermolysin selectively cleaves the amide
bond between the C-terminus of glycine (G) and the N-terminus of leucine (L), leading to two fragments, GPLG
and LAGGWGERDGS (Figures S15–17).
Fast proteolysis kinetics of the free peptide was demonstrated by
HPLC analysis, where 93% of the original peptide signal diminished
after 10 min (Figures S18–20). The
proteolysis kinetics of PBPs was then studied under the same conditions
(Figure d). While
PBPs generally exhibited modest proteolytic stability compared to
the free thermolysin substrate peptide (Figure e), poly(PepNorIm15), in particular
exhibited especially slow digestion kinetics (Figures e and S21–24). The catalytic efficiency (kcat/Km) of thermolysin in cleaving PBP substrates
decreases in the order of poly(PepAm15), poly(PepMAm15), poly(PepNorAm15), and poly(PepNorIm15) (Figures f and S25 and Table S3). This decrease in catalytic
efficiency of thermolysin for these substrates is predicted by an
increase in hydrophobicity of the polymer backbone and, hence, an
increase in globularity of the aqueous, dissolved PBP single chains.To further probe the structural origin of the proteolytic resistance
of PBPs, we next conducted all-atom explicit solvent MD simulations,
where one PBP chain was dissolved in an aqueous solution with 0.14
M NaCl to mimic the experimental PBS environment. Each simulation
lasted 250 ns, with the periodic annealing applied for equilibration
in the first 200 ns and the last 50 ns of production simulations for
data collection. These simulations provided insight into the morphology
of PBPs and the distribution of cleavage sites (glycine and leucine)
within the polymer structures. The equilibrated PBPs exhibit globular
micellar-like structures, with hydrophobic polymer backbones surrounded
by hydrophilic peptides, generally consistent with conformations collected
from experimental SAXS data (Figures a and S26 and Table S4).
The side-chain peptides are structureless as evidenced by the predominance
(>56%) of random coil secondary structures for all PBPs (Table S5). The flexibility of PBPs was also examined
through a calculation of root-mean-square deviation (RMSD, Figure S26). Polymer backbones exhibit small
RMSDs of around 0.2 nm, similar to folded proteins,[31,32] with pendant peptides displaying higher flexibility with RMSDs of
approximately 0.7 nm, comparable to intrinsically disordered proteins.[33]
Figure 2
Computational analysis of peptide-brush polymers with
varying polymer
backbones from all-atom (a–c) and coarse-grained (d,e) simulations.
(a) Configurations of PBPs in an aqueous solution of 0.14 M NaCl.
The side-chain peptides (GPLGLAGGWGERDGS) are structureless
and illustrated with gray ribbons and cleavage sites (GL) with orange
beads. The polymer backbones of poly(PepAm15), poly(PepMAm15), poly(PepNorAm15), and poly(PepNorIm15) are colored blue, red, green, and purple, respectively. PBP hydrogen
atoms, water, and salt ions are omitted for clarity. The corresponding
rotation animations are provided in Movie S1. (b) Solvent-accessible surface area of PBP cleavage sites calculated
using a protein-sized probe (see Table S7 for details). (c) The radial distribution function of the last tail
carbons of leucine (see the inset) on PBP cleavage sites. (d) Potential
energy between PBP cleavage sites and thermolysin active sites from
the MARTINI coarse-grained simulations, with one typical snapshot
presented in (e), where the PBP cleavage sites are colored in orange
and the thermolysin Zn2+ ion are colored in green. Poly(PepNorIm15) cleavage sites display less exposure than that of poly(PepMAm15), leading to weaker interactions with the thermolysin active
site.
Computational analysis of peptide-brush polymers with
varying polymer
backbones from all-atom (a–c) and coarse-grained (d,e) simulations.
(a) Configurations of PBPs in an aqueous solution of 0.14 M NaCl.
The side-chain peptides (GPLGLAGGWGERDGS) are structureless
and illustrated with gray ribbons and cleavage sites (GL) with orange
beads. The polymer backbones of poly(PepAm15), poly(PepMAm15), poly(PepNorAm15), and poly(PepNorIm15) are colored blue, red, green, and purple, respectively. PBP hydrogen
atoms, water, and salt ions are omitted for clarity. The corresponding
rotation animations are provided in Movie S1. (b) Solvent-accessible surface area of PBP cleavage sites calculated
using a protein-sized probe (see Table S7 for details). (c) The radial distribution function of the last tail
carbons of leucine (see the inset) on PBP cleavage sites. (d) Potential
energy between PBP cleavage sites and thermolysin active sites from
the MARTINI coarse-grained simulations, with one typical snapshot
presented in (e), where the PBP cleavage sites are colored in orange
and the thermolysin Zn2+ ion are colored in green. Poly(PepNorIm15) cleavage sites display less exposure than that of poly(PepMAm15), leading to weaker interactions with the thermolysin active
site.Inspection of the PBP cleavage
sites (orange beads in Figure a) indicates that
for poly(PepNorIm15), they are partially embedded in the
interior of the globular structure, whereas the cleavage sites of
the other three PBPs are more distributed. Using a protein-sized probe
with a radius of 3.14 nm,[20] the exposure
of the PBP cleavage sites, described in terms of solvent-accessible
surface area (SASA), was found to decrease in the following order:
poly(PepAm15) > poly(PepMAm15) > poly(PepNorAm15) > poly(PepNorIm15) (Figure b). This trend is predicted by the increase
in PBP backbone hydrophobicity: poly(PepAm15) < poly(PepMAm15) < poly(PepNorAm15) < poly(PepNorIm15) (Figure S2 and Table S6). In
contrast, the SASA of the free peptide is much larger (Table S7). These simulation results indicate
that an increase in polymer backbone hydrophobicity is a predictive
driving force, accounting for peptide side-chains condensing in proximity
to the polymer backbones, leading to less exposure of peptide cleavage
sites. Specifically, poly(PepNorIm15) displayed the highest
backbone hydrophobicity, driving a larger fraction of the cleavage
sites to the core of the collapsed, globular structure. The limited
exposure of peptide cleavage sites for poly(PepNorIm15)
is evidenced by the strong primary correlation peak at a distance
of approximately 4.2 Å on the radial distribution function between
the cleavage sites (Figure c).We next performed MARTINI coarse-grained, explicit
solvent MD simulations
on PBP–thermolysin complexes in aqueous solutions with 0.14
M NaCl for poly(PepNorIm15) and poly(PepMAm15) (Figures S27 and S28). The obtained
interaction energies between PBPs and thermolysin showed that the
cleavage sites of poly(PepNorIm15) negligibly interact
with thermolysin active sites (−0.02 ± 0.02 kJ/mol), whereas
much stronger interactions (−0.9 ± 0.7 kJ/mol) exist between
poly(PepMAm15) cleavage sites and the thermolysin active
site (Figure d,e).
This is in line with experimental observations that poly(PepNorIm15) shows a lower PBP–thermolysin affinity than poly(PepMAm15) (Figure e,f and Table S3). The weaker interactions
between poly(PepNorIm15) cleavage sites and thermolysin
active sites (lower poly(PepNorIm15)–thermolysin
affinity) can be ascribed to the limited exposure of the poly(PepNorIm15) cleavage sites (Figure b). For each PBP–thermolysin complex, the simulations
last 18 μs, the last 9 μs of which was performed using
the GoMartini 2.2 protein model[34] to investigate a possible structural change in protein
structure upon the binding of PBP to thermolysin (Figures S29 and S30). Detailed calculations before and after
the PBP–thermolysin binding event reveal that the structures
of the protein and the PBPs were preserved, as evidenced by negligible
changes in the RMSD of the backbones of the whole protein and its
active site alone (Figures S30a,b) as well
as the radius of gyration and the end-to-end distance of the PBP chains
(Figure S30c–f). Therefore, the
exposure of the PBP cleavage sites obtained by the all-atom simulations
in the absence of protein (Figure b) might be employed in ranking the interactions between
PBP cleavage sites and protein active sites (Figure d), which are associated with the proteolytic
resistance of PBPs against proteases (Figure e,f). The structure–property relationship
is thus established that an increase in PBP backbone hydrophobicity
leads to decreased exposure of the PBP cleavage sites, which decreases
their interaction with proteases, giving rise to enhanced proteolytic
stability.To experimentally test the predominance of the hydrophobic
effect
in driving protease stability of peptide side-chains in PBPs, we prepared
a close structural analogue of poly(PepNorIm) using an oxanorbornene-based
monomer with a bridging oxygen instead of a methylene (Figures S31–34). This poly(Oxa–PepNorIm)
displays a similar polymer backbone rigidity but has a higher hydrophilicity
compared to poly(PepNorIm).[35,36] Proteolysis kinetics
of poly(Oxa–PepNorIm) indicated that its stability is much
lower than poly(PepNorIm) (Figures S35 and S36). Moreover, the SASA of peptide cleavage sites in poly(Oxa–PepNorIm)
was calculated to be 31 ± 15 nm2, markedly higher
than that of poly(PepNorIm) (10 ± 10 nm2). These results
support the dominant role of the PBP backbone hydrophobicity in determining
the proteolytic stability of PBPs.To interrogate whether the
subtle difference in the polymer backbone
observed between the norbornene imido and amide backbones is a general
phenomenon, two more peptide substrates were designed and examined
for their stability against α-chymotrypsin (Figures a,b and S37–48) and pepsin (Figures c,d and S57–64). These are common digestive proteases and belong to the subsets
of serine proteases and aspartyl proteases, respectively.[37,38] In light of the prevalence of α-chymotrypsin and pepsin in
human digestive systems, stability against these proteases would have
promise in the oral administration of therapeutic peptides and proteomimetics.
Studies of proteolysis kinetics revealed that the stability of PBPs
with norbornene imido backbones consistently outperforms other PBPs
(Figures b,d, S49–56, and S65–69 and Tables S9–10). Moreover, the proteolytic stability of all PBPs is noticeably
higher than the corresponding peptide monomers (Figures b,d and S56).
These results are in good agreement with our experimental observation
in the case of thermolysin (Figure ). Given that the investigated peptide cleavage sites
range from nonpolar (glycine–leucine, Figure b) to charged (arginine–glycine, Figure a), and to modestly
polar (methionine–serine, Figure c) amino acids, this suggests that polymer
backbone effects on PBP peptide side-chain proteolytic stability are
a general trend, with hydrophobic residues proximal to the backbone
resulting in the largest protective effect. Furthermore, peptide-brush
polymers and free peptides were exposed to fetal bovine serum. Here,
again, peptide-brush polymers with the norbornene imido backbone significantly
outperformed free peptides in preserving the integrity of amino acid
sequences (Figure S70).
Figure 3
Proteolytic stability
of peptide-brush polymers against a serine
protease (α-chymotrypsin) and an aspartyl protease (pepsin).
(a) Chemical structures of PBPs with different polymer backbones.
A chymotrypsin substrate GALTPRGADSGSG is pendant on the PBP side-chains.
The cleavage site (arginine–glycine) is highlighted in orange.
(b) Chymotrypsin-catalyzed proteolysis kinetics of PBPs and their
respective monomers. The molar concentrations of the peptide substrate
and chymotrypsin are 200 and 1 μM, respectively. Poly(NorIm–Pep2)
demonstrated the highest proteolytic resistance in comparison with
other polymers and monomers (see Figure S56 for detail). (c) Chemical structures of PBPs featuring a pepsin
substrate: HVLVMSATGERDGS. The methionine–serine cleavage site
is highlighted in orange. (d) Pepsin-triggered proteolysis kinetics
of PBPs and their respective monomers. The molar concentrations of
peptide substrates and pepsin are 200 and 0.2 μM, respectively.
The proteolytic stability of poly(NorIm–Pep3) is higher than
other polymers and monomers. Data displayed as mean ± standard
deviation of three independent experiments.
Proteolytic stability
of peptide-brush polymers against a serine
protease (α-chymotrypsin) and an aspartyl protease (pepsin).
(a) Chemical structures of PBPs with different polymer backbones.
A chymotrypsin substrate GALTPRGADSGSG is pendant on the PBP side-chains.
The cleavage site (arginine–glycine) is highlighted in orange.
(b) Chymotrypsin-catalyzed proteolysis kinetics of PBPs and their
respective monomers. The molar concentrations of the peptide substrate
and chymotrypsin are 200 and 1 μM, respectively. Poly(NorIm–Pep2)
demonstrated the highest proteolytic resistance in comparison with
other polymers and monomers (see Figure S56 for detail). (c) Chemical structures of PBPs featuring a pepsin
substrate: HVLVMSATGERDGS. The methionine–serine cleavage site
is highlighted in orange. (d) Pepsin-triggered proteolysis kinetics
of PBPs and their respective monomers. The molar concentrations of
peptide substrates and pepsin are 200 and 0.2 μM, respectively.
The proteolytic stability of poly(NorIm–Pep3) is higher than
other polymers and monomers. Data displayed as mean ± standard
deviation of three independent experiments.Since the proteolytic stability of PBPs with a norbornenyl imido
backbone is higher than other analogues, we reasoned that the poly(NorIm)-based
PBPs would exhibit preservation of bioactivity to a greater extent
than other PBPs in protease-containing environments (Figure ). To test this hypothesis,
we designed two proof-of-concept PBPs with different backbones, poly(MAm–KLA)
and poly(NorIm–KLA), consisting of the proapoptotic peptides
(amino acid sequence: KLAKLAKKLAKLAK, abbreviated as KLA)
(Figures a and S71–79). The KLA peptide is well-known
for promoting apoptosis in cancer cells via disruption of mitochondrial
membranes but does not penetrate cells alone.[39,40] Frequently, the activity of peptides that are otherwise unable to
penetrate cells are assessed when they are conjugated to a cell-penetrating
peptide such as the TAT sequence (YGRKKRRQRRR).[41] Therefore, we prepared TAT–KLA to compare its bioactivity,
that is, proapoptotic efficacy, with poly(MAm–KLA) and poly(NorIm–KLA)
(Figure S80).
Figure 4
Bioactivity of proapoptotic
peptide-brush polymers before and after
treatment with α-chymotrypsin. (a) Chemical structures of proapoptotic
PBPs featuring a side-chain amino acid sequence: KLAKLAKKLAKLAK,
which can induce apoptosis in cancer cells. (b) Percentage of apoptotic
cells analyzed by an annexin V/propidium iodide (PI) staining assay.
HeLa cells were incubated with poly(MAm–KLA) (P1), poly(NorIm–KLA)
(P2), TAT–KLA, and the respective chymotrypsin-pretreated materials
at a concentration of 25 μM for peptides for 24 h. Data are
presented as mean ± standard deviation (n =
3). Results shown for two-tailed student’s t test, ****: P < 0.0001, **: P < 0.01, N.S.: statistically nonsignificant difference. (c) Cell
viability assay of HeLa cells incubated with original KLA-containing
materials and chymotrypsin-pretreated materials. The concentration
of the X-axis was calculated regarding the side-chain
peptides. Data displayed as mean ± standard deviation (n = 3). (d) Mitochondria function assay of HeLa cells using
a live-cell confocal microscope and JC-1 probe. The cells were incubated
with poly(MAm–KLA), poly(NorIm–KLA), and respective
chymotrypsin-pretreated analogues at a concentration of 25 μM
for peptides for 24 h. Prior to imaging, cells were stained with 2
μM of JC-1 probe (green, monomer, λex/em =
488 nm/510–550 nm; red, J-aggregates, λex/em = 488 nm/585–649 nm) and then Hoechst (blue, λex/em = 358 nm/461 nm). Scale bar, 20 μm.
Bioactivity of proapoptotic
peptide-brush polymers before and after
treatment with α-chymotrypsin. (a) Chemical structures of proapoptotic
PBPs featuring a side-chain amino acid sequence: KLAKLAKKLAKLAK,
which can induce apoptosis in cancer cells. (b) Percentage of apoptotic
cells analyzed by an annexin V/propidium iodide (PI) staining assay.
HeLa cells were incubated with poly(MAm–KLA) (P1), poly(NorIm–KLA)
(P2), TAT–KLA, and the respective chymotrypsin-pretreated materials
at a concentration of 25 μM for peptides for 24 h. Data are
presented as mean ± standard deviation (n =
3). Results shown for two-tailed student’s t test, ****: P < 0.0001, **: P < 0.01, N.S.: statistically nonsignificant difference. (c) Cell
viability assay of HeLa cells incubated with original KLA-containing
materials and chymotrypsin-pretreated materials. The concentration
of the X-axis was calculated regarding the side-chain
peptides. Data displayed as mean ± standard deviation (n = 3). (d) Mitochondria function assay of HeLa cells using
a live-cell confocal microscope and JC-1 probe. The cells were incubated
with poly(MAm–KLA), poly(NorIm–KLA), and respective
chymotrypsin-pretreated analogues at a concentration of 25 μM
for peptides for 24 h. Prior to imaging, cells were stained with 2
μM of JC-1 probe (green, monomer, λex/em =
488 nm/510–550 nm; red, J-aggregates, λex/em = 488 nm/585–649 nm) and then Hoechst (blue, λex/em = 358 nm/461 nm). Scale bar, 20 μm.To evaluate the impact on cancer cells (HeLa cell line),
we performed
an annexin V/propidium iodide (PI) staining to assay for the percentage
of apoptotic cells upon incubation with poly(MAm–KLA), poly(NorIm–KLA),
TAT–KLA, and KLA as well as their respective analogues, which
were pretreated with α-chymotrypsin (Figures b and S81–83). Notably, both poly(MAm–KLA) and poly(NorIm–KLA)
demonstrated higher proapoptotic efficacy than that of TAT–KLA,
as evidenced by higher percentages of apoptotic cells in the cases
of poly(MAm–KLA) and poly(NorIm–KLA). The enhanced bioactivity
of PBPs compared to free peptides and TAT–KLA can be attributed
to superior cell uptake of the polymers, which stems from the display
of multiple cationic residues.[12] The multivalent
display of proapoptotic peptides on the intact polymer scaffold induces
apoptosis by colocalization with mitochondria and disruption of mitochondrial
membranes.[21,40,42] Chymotrypsin pretreatment of poly(MAm–KLA) and TAT–KLA
led to a marked decrease in their proapoptotic efficacy, in contrast
to poly(NorIm–KLA), which retained much of its bioactivity
(Figure b). These
differences can be attributed to differences in degrees of proteolysis
of the samples upon incubation with chymotrypsin. Additionally, the
cytotoxicity of KLA-containing materials to cancer cells was evaluated
(Figure c). The half-maximal
effective concentrations (EC50) of original poly(NorIm–KLA)
and poly(MAm–KLA) were similarly higher than that of TAT–KLA.
However, upon pretreatment with chymotrypsin, poly(NorIm–KLA)
preserved its EC50 value, while the EC50 values
of poly(MAm–KLA) and TAT–KLA dramatically increased,
agreeing with the cell apoptosis assay results (Figure b).To further confirm that the mechanism
of cell death was apoptosis,
we performed a mitochondrial function assay using the turn-on JC-1
probe to evaluate the mitochondrial membrane potential, a key feature
of mitochondria health (Figures d and S84). The JC-1 probe
is a green-fluorescent carbocyanine dye that can form red-fluorescent
JC-1 aggregates after accumulation in healthy mitochondria with a
normal membrane potential (Figure d).[43] As expected, HeLa
cells incubated with original poly(NorIm–KLA) and poly(MAm–KLA)
showed weak red fluorescence, similar to cells treated with TAT–KLA,
indicating that the mitochondrial membrane was disrupted by the KLA-containing
materials. In contrast, chymotrypsin-induced digestion of poly(MAm–KLA)
and TAT–KLA resulted in a significant loss of their proapoptotic
function, as evidenced by the appearance of strong red fluorescence,
which is associated with healthy mitochondria (Figures d and S84). The
behavior of poly(NorIm–KLA) was unaltered after enzyme treatment,
because poly(NorIm–KLA) exhibits high proteolytic stability.
Conclusion
In summary, we have identified a key relationship between the polymer
backbone and proteolytic stability of pendant peptides in densely
functionalized peptide-brush polymers. Experimental and computational
results show that polymer backbone hydrophobicity directly predicts
the optimal performance of PBPs in terms of proteolytic resistance.
Specifically, an increase in PBP backbone hydrophobicity drives the
pendant peptide chains to condense at the core of the aqueous-phase
structures, resulting in less surface exposure of peptide cleavage
sites. This consequently weakens the interactions between peptide
cleavage sites and protease active sites, which determines the elevated
proteolytic resistance of PBPs as the hydrophobicity of the PBP backbone
increases (e.g., poly(NorIm)). The impact of this proteolytic stability
on the biological performance of PBPs was assessed, showing that proapoptotic
PBPs with a more hydrophobic poly(NorIm) backbone, upon exposure to
protease, retained a much higher degree of bioactivity than that of
the PBP with a less hydrophobic poly(MAm) backbone. Notably, this
type of bioconjugate stands out in terms of the inherently high percentage
of active peptide by weight of PBP (>85%), compared to high-molecular-weight
polyethylene glycol peptide conjugates, antibody fusions, or liposomal
and other nanoscale formulations where carriers dominate the functional
peptide. Therefore, these single-chain globular PBP materials are
predominantly peptide-based by weight and by display of amino acid
sequences on their exterior. Given the substantial promise of therapeutic
peptides in biomedical applications, we envision that the mechanistic
insights provided in this study will drive future development of proteolytically
stable systems with high retention of bioactivity based on protein-like
polymer structures consisting of densely functionalized polymer–peptide
bioconjugates with multivalent peptide displays. Our lab is currently
evaluating the efficacy of therapeutic peptide-brush polymers in relevant
models of human disease.
Experimental Section
Safety Statement
No unexpected or unusually high safety
hazards were encountered.
Synthesis of Poly(PepMAm) and Poly(PepAm)
via Photo-RAFT Polymerization
Homopolymers of PepMAm and
PepAm were achieved by photoinitiated
reversible addition–fragmentation transfer (photo-RAFT) polymerization.
In a typical aqueous photo-RAFT polymerization for making poly(PepMAm15) targeting a DP of 15, peptide methacrylamide monomer (30
mg, 15 equiv) was dissolved in 150 μL of PBS buffer. Then, water-soluble
RAFT agent, 4-((((2-carboxyethyl)thio)carbonothioyl)thio)-4-cyanopentanoic
acid (0.38 mg, 1.0 equiv) was added to the reaction mixture. Next,
19 μL of the SPTP stock solution (0.3 equiv., 6.0 mg in 1 mL
of PBS buffer) was added. The solution was degassed by a N2 purge for 30 min and then placed into the photoreactor (λmax = 365 nm, 3.4 mW/cm2) for 12 h, after which
the polymer solution was purified via dialysis against deionized water.
Finally, the polymer product was obtained by lyophilization.
Synthesis
of Poly(PepNorIm) and Poly(PepNorAm) via ROMP
Homopolymers
of PepNorIm and PepNorAm were achieved by ring-opening
metathesis polymerization (ROMP) under a N2 atmosphere
in a glovebox. In a typical ROMP protocol for preparing poly(PepNorIm15), PepNorIm (20 mg, 15.0 equiv) was dissolved in 300 μL
of degassed DMF (1 M LiCl). Next, 287 μL of the olefin metathesis
initiator (IMesH2)(C5H5N)2(Cl)2Ru=CHPh stock solution (1.0 equiv, 2 mg/mL in DMF)
was quickly added to the monomer solution. The solution was left to
stir for 5 h with full consumption of monomers. After the polymerization,
the polymer solution was subjected to dialysis against deionized water.
Finally, the polymer product was obtained by lyophilization.
Evaluation
of the Proteolytic Stability of Peptide-Brush Polymers
In
a typical thermolysin-induced cleavage experiment, the molar
concentration of thermolysin was set to 0.1 μM. The concentration
of side-chain peptides (GPLGLAGGWGERDGS) varied in the
range of 50–200 μM. In a typical experiment, poly(PepNorIm15) (1.65 mg, 1 μmol regarding the side-chain peptides)
was dissolved in 5 mL of PBS solution, leading to a stock polymer
solution with a peptide concentration of 200 μM. Next, 3.5 μL
of thermolysin stock solution (1.0 mg/mL) was added to 1 mL of the
polymer solution, which was subsequently stirred in a preheated oil
bath at 37 °C. In this case, the molar ratio of peptide substrate
to thermolysin was 2000:1. During the proteolysis reaction, aliquots
were taken for HPLC analysis at predetermined time points. Each degradation
experiment was repeated three times.
All-Atom Explicit Solvent
MD Simulations on Peptide-Brush Polymers
in the Absence of Protein
Classical all-atom explicit solvent
MD simulations were performed to study the morphology of peptide-brush
polymers in aqueous solution. The package GROMACS (version 2016.3)[44] was used. The CHARMM 36m potential[45] was employed for amino acids as well as Na+ and Cl– ions, along with the recommended
CHARMM TIP3P water model.[46] The CHARMM
36m potential was improved from the previous version of CHARMM 36
to better describe disordered proteins, which is of strong relevance
to the present work, where most of the peptides favor disordered structures
(Table S5). The CHARMM General Force Field
(CGenFF 4.0)[47] was employed for PBP backbone
atoms. For each simulation, one PBP chain was dissolved in a water
box with an edge length of 12 nm to mimic the single-molecule state
of PBPs in experiments. A NaCl concentration of 0.14 M was employed
to mimic the PBS buffer. A periodic annealing simulation[48] of 200 ns was conducted to fully relax the PBP
chains before the production simulation, which lasted 50 ns. The solvent-accessible
surface area (SASA) was calculated using the GROMACS program gmx sasa.[49]
MARTINI Coarse-Grained
(CG) MD Simulation on PBP–Thermolysin
Complexes
The MARTINI force field parameters for the backbones
of poly(PepNorIm15) and poly(PepMAm15) were
missing from the original MARTINI potential[50] and thus were developed here. The obtained parameters were able
to reproduce the structures (radius of gyration and end-to-end distance, Figure S27) of both PBPs. In the PBP–thermolysin
complex simulations, thermolysin was positioned at the center of a
simulation box with an edge length of 16 nm and surrounded by 12 PBP
chains. The ratio of 1 thermolysin to 12 PBP chains agreed with the
experimental concentrations. A NaCl concentration of 0.14 M was employed.
Each simulation lasts 18 μs, where the ElNeDyn 2.2 protein model[51] was employed in the first 9 μs to preserve
the protein structure upon the PBP binding. The GoMartini 2.2 protein model[34] was applied
in the last 9 μs to enable the flexibility of thermolysin. The
interactions between the PBP cleavage sites and thermolysin active
sites were calculated using the GROMACS program gmx energy.
Authors: Jing Huang; Sarah Rauscher; Grzegorz Nawrocki; Ting Ran; Michael Feig; Bert L de Groot; Helmut Grubmüller; Alexander D MacKerell Journal: Nat Methods Date: 2016-11-07 Impact factor: 28.547
Authors: David S H Chu; Michael J Bocek; Julie Shi; Anh Ta; Chayanon Ngambenjawong; Robert C Rostomily; Suzie H Pun Journal: J Control Release Date: 2015-01-14 Impact factor: 9.776
Authors: K Vanommeslaeghe; E Hatcher; C Acharya; S Kundu; S Zhong; J Shim; E Darian; O Guvench; P Lopes; I Vorobyov; A D Mackerell Journal: J Comput Chem Date: 2010-03 Impact factor: 3.376
Authors: Hao Sun; Wei Cao; Nanzhi Zang; Tristan D Clemons; Georg M Scheutz; Ziying Hu; Matthew P Thompson; Yifei Liang; Maria Vratsanos; Xuhao Zhou; Wonmin Choi; Brent S Sumerlin; Samuel I Stupp; Nathan C Gianneschi Journal: Angew Chem Int Ed Engl Date: 2020-08-26 Impact factor: 15.336