Lawrence J Dooling1, David A Tirrell1. 1. Division of Chemistry and Chemical Engineering, California Institute of Technology , 1200 East California Boulevard, Pasadena, California 91125, United States.
Abstract
The dynamic behavior of macromolecular networks dominates the mechanical properties of soft materials and influences biological processes at multiple length scales. In hydrogels prepared from self-assembling artificial proteins, stress relaxation and energy dissipation arise from the transient character of physical network junctions. Here we show that subtle changes in sequence can be used to program the relaxation behavior of end-linked networks of engineered coiled-coil proteins. Single-site substitutions in the coiled-coil domains caused shifts in relaxation time over 5 orders of magnitude as demonstrated by dynamic oscillatory shear rheometry and stress relaxation measurements. Networks with multiple relaxation time scales were also engineered. This work demonstrates how time-dependent mechanical responses of macromolecular materials can be encoded in genetic information.
The dynamic behavior of macromolecular networks dominates the mechanical properties of soft materials and influences biological processes at multiple length scales. In hydrogels prepared from self-assembling artificial proteins, stress relaxation and energy dissipation arise from the transient character of physical network junctions. Here we show that subtle changes in sequence can be used to program the relaxation behavior of end-linked networks of engineered coiled-coil proteins. Single-site substitutions in the coiled-coil domains caused shifts in relaxation time over 5 orders of magnitude as demonstrated by dynamic oscillatory shear rheometry and stress relaxation measurements. Networks with multiple relaxation time scales were also engineered. This work demonstrates how time-dependent mechanical responses of macromolecular materials can be encoded in genetic information.
Cellular behaviors
such as proliferation,[1] spreading and migration,[2] and differentiation[3] are regulated in part by the stiffness of the
local tissue microenvironment. These observations have prompted substantial
efforts to design materials with tunable mechanical properties for
applications in tissue engineering and for fundamental investigations
of cellular mechanotransduction and cell-matrix interaction. The stiffness
of biomaterials is typically characterized by an elastic modulus relating
the deformation and stress at small strains. The moduli of materials
used in cell culture can vary from less than 1 kPa for soft gels[4] to more than 1 GPa for glass and tissue culture
polystyrene.[5] Several recent studies have
suggested that in addition to the elasticity of a material, its viscous
or dissipative properties may also influence cellular behavior.[6−9] If we are to understand these phenomena and harness them for use
in tissue engineering and regenerative medicine, we must develop reliable
strategies for the design of materials with predictable and tunable
dynamic properties.Dynamic materials have been engineered both
from synthetic polymers
and from proteins. Examples of dynamic polymer networks include viscoelastic
gels and elastomers cross-linked by hydrophobic interactions,[10] hydrogen bonds,[11] metal–ligand complexes,[12−15] and dynamic covalent bonds.[16,17] Stress relaxation and energy dissipation in these materials arise
from the transient nature of at least some of the network junctions,
and the characteristic relaxation time scales can therefore be tuned
by modifying the lifetime of the transient cross-links. In protein
networks, dynamic properties emerge from transient association of
complementary domains on neighboring chains. Hydrogels cross-linked
by coiled-coil domains[18−21] are among the most thoroughly studied examples of dynamic protein
networks. The lifetime of a coiled-coil cross-link is related to the
characteristic time (τe) for exchange of individual
strands between coiled-coil bundles. Although exchange times have
been reported only for a small number of coiled coils derived from
transcription factors, structural proteins, and designed peptides,
these measurements reveal a wide range of exchange rates ((τe) ≈ 1 s to >104 s) relevant to engineering
relaxation behavior in soft materials.[19,22−25] Furthermore, coiled-coil exchange dynamics are sensitive to pH,[19] allosteric regulation by binding partners,[24] and mutation of the amino acid sequence.[25] The effects of mutations are particularly intriguing
as they suggest that the relaxation behavior of protein networks might
be encoded in genetic information.To test this idea, we prepared
a set of seven artificial proteins
that differ from one another by a single amino acid residue located
in a helical domain designed to form coiled-coil bundles. Association
of these domains in end-linked hydrogel networks resulted in transient
physical cross-linking and viscoelastic behavior that was strikingly
dependent on protein sequence. Networks prepared from mixtures of
proteins exhibited more complex dynamic behavior characterized by
multiple relaxation time scales.
Results and Discussion
Recombinant artificial proteins form hydrogel networks by physical
cross-linking through association of structured domains on neighboring
chains or by covalent cross-linking between amino acid side chain
functional groups. We showed previously that the combination of covalent
and physical cross-linking in networks prepared from a telechelic
artificial protein denoted EPE gives rise to distinctive viscoelastic
behavior.[26] EPE contains elastin-like end
blocks (E), a helical midblock domain (P), and N- and C-terminal cysteine
residues.[26] The P domain is derived from
the N-terminal sequence of cartilage oligomeric matrix protein, which
forms pentameric coiled coils that have been characterized thoroughly
by biochemical methods including X-ray crystallography, analytical
ultracentrifugation, and circular dichroism spectroscopy[27,28] and used previously to cross-link physical protein gels.[29,30] Networks were formed by addition of the cysteine thiols in EPE to
the terminal vinyl sulfone units of a four-arm poly(ethylene glycol)
star polymer (PEG-4VS) (Figure a,b).[31] Covalent end-linking was
accomplished by mixing solutions of EPE and PEG-4VS under denaturing
conditions (6 M guanidinium chloride) in which the helical midblock
domains are expected to be unfolded. After swelling in phosphate-buffered
saline to remove the denaturant, the midblock domains on neighboring
chains associate to form physical cross-links (Figure a,c). Frequency-sweep small-amplitude oscillatory
shear (SAOS) tests of EPE hydrogels at 2% strain amplitude (Figure a) reveal a storage
modulus (G′) that transitions between high-
and low-frequency plateau values, with the midpoint of the transition
coinciding with a maximum in the loss modulus (G″).
When the network is deformed at high oscillation frequency, stress
is stored in the short chain segments that connect the covalent cross-link
points and the associating midblock domains. When the network is deformed
at low frequency, the coiled-coil domains are no longer elastically
effective, and stress is stored only in the longer chain segments
that link covalent network junctions. This behavior is also evident
in stress relaxation experiments in which the gel is subjected to
a 2% step strain (Figure b). As the coiled-coil network junctions re-equilibrate in
response to deformation of the gel, the relaxation function G(t) decays to an equilibrium modulus associated
with the covalent network.
Figure 1
Cross-linking scheme and sequence of P domain.
(a) Hydrogels are
formed by end-linking artificial protein EPE with four-arm PEG vinyl
sulfone. The reaction is carried out under denaturing conditions (6
M guanidinium chloride). Removal of the denaturant allows physical
cross-links to form between EPE midblock domains. (b) End-linking
is accomplished by formation of a thioether bond between cysteine
residues located at the termini of EPE and the vinyl sulfone groups
at the end of each arm of the four-arm PEG. (c) The midblock domain
P in EPE forms homo-pentameric coiled coils (PDB 1VDF(28)). Below the structure, the amino acid sequence of the P
domain is divided into six heptad repeats using the conventional abcdefg notation for coiled-coil peptides. The mutated residues
leucine 37, threonine 40, glutamine 54, and isoleucine 58 are noted
with arrows and bolded in the helical wheel diagram. For clarity,
midblock association in (a) is shown as dimeric association of the
helical domains.
Figure 2
Rheology of EPE and variants
Q54A, T40A, and I58A. (a) Dynamic
oscillatory frequency sweeps showing storage moduli (G′, filled symbols) and loss moduli (G″,
open symbols) at 2% strain amplitude, 25 °C. In gels prepared
from the Q54A (triangles) and T40A (squares) variants, the G′ and G″ curves are shifted
to lower frequencies relative to those for EPE gels (circles). In
gels prepared from the I58A (diamonds) variant, the G′ and G″ curves are shifted to higher
frequencies relative to EPE gels. (b) The same trend is observed in
stress relaxation experiments in which gels were subjected to a 2%
step strain at 25 °C. The characteristic relaxation times determined
from fits of the stretched exponential model (solid black lines) follow
the trend τQ54A > τT40A >
τEPE > τI58A.
Cross-linking scheme and sequence of P domain.
(a) Hydrogels are
formed by end-linking artificial protein EPE with four-arm PEG vinyl
sulfone. The reaction is carried out under denaturing conditions (6
M guanidinium chloride). Removal of the denaturant allows physical
cross-links to form between EPE midblock domains. (b) End-linking
is accomplished by formation of a thioether bond between cysteine
residues located at the termini of EPE and the vinyl sulfone groups
at the end of each arm of the four-arm PEG. (c) The midblock domain
P in EPE forms homo-pentameric coiled coils (PDB 1VDF(28)). Below the structure, the amino acid sequence of the P
domain is divided into six heptad repeats using the conventional abcdefg notation for coiled-coil peptides. The mutated residues
leucine 37, threonine 40, glutamine 54, and isoleucine 58 are noted
with arrows and bolded in the helical wheel diagram. For clarity,
midblock association in (a) is shown as dimeric association of the
helical domains.Rheology of EPE and variants
Q54A, T40A, and I58A. (a) Dynamic
oscillatory frequency sweeps showing storage moduli (G′, filled symbols) and loss moduli (G″,
open symbols) at 2% strain amplitude, 25 °C. In gels prepared
from the Q54A (triangles) and T40A (squares) variants, the G′ and G″ curves are shifted
to lower frequencies relative to those for EPE gels (circles). In
gels prepared from the I58A (diamonds) variant, the G′ and G″ curves are shifted to higher
frequencies relative to EPE gels. (b) The same trend is observed in
stress relaxation experiments in which gels were subjected to a 2%
step strain at 25 °C. The characteristic relaxation times determined
from fits of the stretched exponential model (solid black lines) follow
the trend τQ54A > τT40A >
τEPE > τI58A.To explore the relationship between protein sequence
and the macroscopic
properties of protein networks, we prepared six EPE variants that
each contained a single point mutation in the P domain. The mutations
were selected on the basis of the work of Gunasekar et al., in which
alanine scanning mutagenesis was performed on the a and d positions that lie along the interhelical
interfaces of the coiled-coil bundle.[32] Replacement of aliphatic residues in P (at Leu 37, Leu 44, Val 47,
Leu 51, or Ile 58) by alanine destabilized the helical structure,
while mutations of polar residues (Thr 40 or Gln 54) to alanine resulted
in stabilization. An increase in thermal stability was also observed
when Gln 54 was mutated to leucine[33] or
isoleucine.[34] We previously found that
hydrogels prepared from an EPE variant containing the L44A mutation
showed no evidence of physical cross-linking,[26] but the other mutations were not explored. Here, six EPE variants
(designated T40A, Q54A, I58A, L37A, L37V, and L37I) (Figure c and Table S2) were expressed in Escherichia coli strain
BL21 and purified by inverse temperature cycling (Figure S1). The proteins were reduced, desalted, and stored
under inert atmosphere at −80 °C to ensure high free-thiol
content, which was measured by Ellman’s assay[35] to be between 83 and 91% for all EPE variants (Figure S2 and Table S4). The results of Ellman’s
assay were consistent with analysis by nonreducing SDS-PAGE, which
confirmed that the proteins were monomeric (Figure S3 and Table S3). The molar masses of the proteins were verified
by electrospray ionization mass spectrometry (ESI-MS) (Table S5).We assessed the rheological
behavior of hydrogels prepared by treating
T40A, Q54A, or I58A with PEG-4VS. While these point mutations were
each shown to affect the melting temperature and fractional helicity
of the P coiled coil, they did not alter the pentameric oligomerization
state,[32] and therefore the mutated coiled
coils were still expected to form physical cross-links when end-linked
into covalent networks. In SAOS frequency sweep experiments (Figure a), T40A and Q54A
gels exhibit high-frequency plateaus in G′
that are similar in magnitude to the high-frequency plateau values
observed for EPE gels. In these variants, however, the plateau behavior
extends to lower frequencies than in EPE gels. The maximum in G″ also occurs at a lower frequency (0.003 rad s–1) in T40A gels. In Q54A gels, a maximum in G″ was not observed in the experimental frequency
range, but the shape of the curve suggests a maximum between 10–4 and 10–3 rad s–1. These observations are consistent with slower relaxation of coiled-coiled
domains containing T40A or Q54A mutations. In hydrogels prepared from
I58A, the opposite behavior is observed. Both the transition zone
between the plateaus in G′ and the maximum
in G″ occur at higher frequencies than in
EPE gels, meaning that relaxation of physical cross-links is faster
in these materials. These experiments reveal a trend in the relaxation
times of these materials (Q54A > T40A > EPE > I58A) that
parallels
the trend in thermal stability reported by Gunaseker et al.[32]To investigate the long time behavior
of the more stable EPE variants
T40A and Q54A, we performed stress relaxation experiments at 2% strain
(Figure b). The relaxation
function G(t) was fit with the stretched
exponential model previously used for physical protein hydrogels[20] and modified here to account for the permanent
covalent network. The stress relaxation experiments confirmed the
trend observed in the SAOS frequency sweeps and allowed us to determine
the mean relaxation time for each material, which varied from approximately
1 s for I58A gels to more than 1500 s for Q54A gels (Table ). In light of the fact that
each of the three “mutant” materials differs from EPE
by only a single amino acid residue, the results illustrate the remarkable
sensitivity of the macroscopic stress relaxation time to the details
of the molecular structure. The more stable variants Q54A and T40A
are slightly stiffer than I58A and slightly less swollen (Figure S4). Both observations can be explained
by a greater fraction of folded P domains in the more stable variants.
The average molecular weight between covalent cross-links (Mc) was estimated using the phantom network approximation
(Table ); the value
of Mc for each variant is close to the
theoretical molecular weight between cross-links (26.5 kg mol–1) based on the protein and cross-linker molar masses.
Table 1
Plateau Moduli, G(t = 0) and G(t → ∞),
and Characteristic Relaxation Time, <τ>,
for EPE and the Six Single-Site Mutant Variants Were Determined by
Fitting the Data to a Stretched Exponential Modela
protein
<τ> (s)
G(t = 0) (kPa)
G(t → ∞) (kPa)
Mc (t → ∞) (kg mol–1)
L37A
0.22 ± 0.13
6.9 ± 0.6
4.7 ± 1.0
28.1
L37V
1.02 ± 0.14
12.1 ± 0.4
5.1 ± 0.1
28.2
I58A
1.70 ± 0.15
11.1 ± 0.1
4.5 ± 0.3
32.0
L37I
9.83 ± 1.19
13.6 ± 0.4
5.2 ± 0.7
30.4
EPE
134 ± 8
14.0 ± 0.6
4.6 ± 0.2
32.3
T40A
762 ± 62
14.7 ± 0.2
5.7 ± 0.6
26.5
Q54A
1608 ± 135
14.8 ± 0.9
6.8 ± 0.8
23.0
L37A was not well fit by a stretched
exponential model, so the single exponential model is reported instead
(n = 3, avg ± s.d.). The equilibrium modulus G(t → ∞) was used to determine
the average molecular weight between covalent cross-links (Mc). The expected value of Mc based on the protein molecular weight and the molecular
weight of two arms of the PEG-4VS cross-linker is 26.5 kg mol–1.
L37A was not well fit by a stretched
exponential model, so the single exponential model is reported instead
(n = 3, avg ± s.d.). The equilibrium modulus G(t → ∞) was used to determine
the average molecular weight between covalent cross-links (Mc). The expected value of Mc based on the protein molecular weight and the molecular
weight of two arms of the PEG-4VS cross-linker is 26.5 kg mol–1.We further
investigated how sequence variation in the coiled-coil
domain could be used to program the relaxation behavior of protein
gels by designing EPE variants containing point mutations at leucine
37. Mutation of this residue to alanine by Gunasekar et al. decreased
the helicity of the P domain from 70% in the wild-type peptide to
22% in the mutant.[32] In hydrogels prepared
by cross-linking L37A with PEG-4VS, G′ is
independent of the oscillation frequency below approximately 5 rad
s–1 but increases with increasing frequency above
this value (Figure a). The increase in G′ is accompanied by
a local maximum in G″. As in gels prepared
from I58A, the shifts of the G′ and G″ curves to higher frequencies relative to EPE suggest
that transient physical cross-links are still present in L37A gels,
but exchange more rapidly than in EPE. The relaxation time of the
L37A network, which is estimated as 0.22 s from the stress relaxation
experiment (Figure b and Table ), is
approximately 3 orders of magnitude smaller than the relaxation time
of EPE gels. This effect mirrors the shift in the strand exchange
time that accompanies single leucine-to-alanine substitutions in leucine-zipper
peptides (∼1800 s to ∼1 s).[25]
Figure 3
Rheology
of EPE variants with point mutations at position 37 (L37I,
L37V, and L37A). (a) Dynamic oscillatory frequency sweeps showing
storage moduli (G′, filled symbols) and loss
moduli (G″, open symbols) at 2% strain amplitude,
25 °C. In gels prepared from the L37I (squares), L37V (triangles),
and L37A (diamonds) variants, the G′ and G″ curves are shifted to higher frequencies relative
to those for EPE gels (circles). Similar behavior was observed when
L37V was subjected to rheological analysis at temperatures of 5, 15,
and 35 °C (Figure S5). (b) The same
trend in the relaxation time is observed in stress relaxation experiments
in which gels were subjected to a 2% step strain at 25 °C. The
characteristic relaxation times were determined from fits of the stretched
exponential model for EPE, L37I, and L37V (solid black lines). The
relaxation function for L37A was not well fit by the stretched exponential
model, so the single exponential fit is shown instead. The trend in
the characteristic relaxation time is τEPE> τL37I > τL37V > τL37V.
Rheology
of EPE variants with point mutations at position 37 (L37I,
L37V, and L37A). (a) Dynamic oscillatory frequency sweeps showing
storage moduli (G′, filled symbols) and loss
moduli (G″, open symbols) at 2% strain amplitude,
25 °C. In gels prepared from the L37I (squares), L37V (triangles),
and L37A (diamonds) variants, the G′ and G″ curves are shifted to higher frequencies relative
to those for EPE gels (circles). Similar behavior was observed when
L37V was subjected to rheological analysis at temperatures of 5, 15,
and 35 °C (Figure S5). (b) The same
trend in the relaxation time is observed in stress relaxation experiments
in which gels were subjected to a 2% step strain at 25 °C. The
characteristic relaxation times were determined from fits of the stretched
exponential model for EPE, L37I, and L37V (solid black lines). The
relaxation function for L37A was not well fit by the stretched exponential
model, so the single exponential fit is shown instead. The trend in
the characteristic relaxation time is τEPE> τL37I > τL37V > τL37V.The accessible surface area of
the alanine side chain is approximately
one-half that of leucine (67 Å2 versus 137 Å2),[36] and the loss of hydrophobic
contacts at position 37 of the P domain likely destabilizes the coiled-coil
aggregates and enables faster network relaxation. This hypothesis
led us to prepare EPE variants containing L37V and L37I mutations.
The accessible surface area of valine (117 Å2) lies
between those of leucine and alanine.[36] Isoleucine has an accessible surface area (140 Å2) similar to that of leucine, but its side chain is branched at the
β- rather than the γ-carbon.[36] In both L37V and L37I gels, the curves for G′
and G″ are shifted to higher frequencies relative
to EPE gels, but the shift is not as large as that observed for L37A
(Figure a). The characteristic
relaxation times for L37V and L37I networks are on the order of 1
and 10 s, respectively (Figure b and Table ). Thus, the relaxation times for EPE and its variants modified at
position 37 decrease in the order EPE > L37I > L37V > L37A
and illustrate
how rational design of the coiled-coil cross-linking domains can be
used to program the relaxation behavior of artificial protein networks.When gels prepared from EPE and its variants are swollen in buffer
containing 6 M guanidinium chloride (a protein denaturant), the coiled-coil
domains are disrupted, but the gels remain cross-linked through covalent
bonds. The storage moduli of gels swollen in denaturing buffers are
nearly independent of the oscillation frequency (Figure S6a), as expected for highly swollen, covalent elastic
networks. Addition of guanidinium chloride also increases the extent
of swelling (Figure S6b), consistent with
a loss of physical cross-linking. Because association between P domains
is disrupted by the denaturant, the effects of sequence variation
are lost and the protein variants are no longer distinguishable (Figure S6a).The approach developed here
can also be used to design materials
with more complex relaxation dynamics. We imagined that it should
be possible to observe multiple, distinct relaxation processes in
gels made by cross-linking mixtures of proteins that meet two criteria:
The proteins must have orthogonal physical cross-linking domains,
and the relaxation times for these domains must be well separated.
To construct such a network, we designed an artificial protein (designated
EAE) that contains an artificial coiled-coil domain (A) in place of
P (Figure a). Shen
et al. developed physical hydrogels from telechelic artificial proteins
with terminal A and P domains and demonstrated that these domains
do not associate with one another.[30] Hydrogels
prepared by cross-linking EAE with PEG-4VS exhibit relaxation behavior
(Figure c,d) similar
to that of Q54A. This suggests that physical cross-links formed by
the A domain are longer-lived than those formed by P. To engineer
gels that exhibit distinct relaxation times, we paired EAE and L37V
in a covalent network cross-linked with PEG-4VS (Figure b, (iv)). The single L37V mutation
in P is not expected to affect its orthogonality with A, and the relaxation
times of the individual EAE and L37V networks are separated by approximately
3 orders of magnitude.
Figure 4
Chemical-physical protein networks with multiple relaxation
times.
(a) Sequence of the A coiled-coil domain and helical wheel representation
of a parallel A homotetramer (antiparallel orientations are also possible).
(b) Schematic representation of chemical-physical protein networks
prepared from a single artificial protein (i. L37V, ii. EAE, iii.
Q54A) or two artificial proteins with different associative midblocks
(iv. L37 V:EAE, v. L37V:Q54A). In network iv, the coiled coils are
orthogonal to one another, and two types of physical cross-links are
present, i.e., tetramers of α and pentamers of β. In network
v, mixed species cross-linking is possible, i.e., through formation
of eight different pentamers of β and γ. (c) Storage moduli
and (d) loss moduli of EAE gels (circles), L37V gels (triangles),
and gels prepared by cross-linking an equimolar mixture of EAE and
L37V (diamonds). (e) Storage moduli and (f) loss moduli of Q54A gels
(squares), L37V gels (triangles), and gels prepared by cross-linking
an equimolar mixture of Q54A and L37V (crosses). The dashed lines
in (c–f) represent the theoretical averages of G′ and G″ calculated from the curves
for the single protein networks shown in those panels.
Chemical-physical protein networks with multiple relaxation
times.
(a) Sequence of the A coiled-coil domain and helical wheel representation
of a parallel A homotetramer (antiparallel orientations are also possible).
(b) Schematic representation of chemical-physical protein networks
prepared from a single artificial protein (i. L37V, ii. EAE, iii.
Q54A) or two artificial proteins with different associative midblocks
(iv. L37 V:EAE, v. L37V:Q54A). In network iv, the coiled coils are
orthogonal to one another, and two types of physical cross-links are
present, i.e., tetramers of α and pentamers of β. In network
v, mixed species cross-linking is possible, i.e., through formation
of eight different pentamers of β and γ. (c) Storage moduli
and (d) loss moduli of EAE gels (circles), L37V gels (triangles),
and gels prepared by cross-linking an equimolar mixture of EAE and
L37V (diamonds). (e) Storage moduli and (f) loss moduli of Q54A gels
(squares), L37V gels (triangles), and gels prepared by cross-linking
an equimolar mixture of Q54A and L37V (crosses). The dashed lines
in (c–f) represent the theoretical averages of G′ and G″ calculated from the curves
for the single protein networks shown in those panels.Hydrogels were prepared by cross-linking equimolar
mixtures of
EAE and L37V under denaturing conditions and then swollen to equilibrium
in phosphate-buffered saline, pH 7.4. In both SAOS frequency sweep
experiments and stress relaxation experiments (Figure c,d and Figure S7a), distinct relaxation processes are observed on time scales that
correspond to those of the individual L37V and A domains. These processes
are separated by plateau values in G′ and G(t) at intermediate values of the frequency
and time, respectively. The high-frequency plateau reflects the contributions
of both L37V and A domains to the storage modulus, while the reduced
plateau value of G′ at intermediate frequencies
reflects only the contributions of the longer-lived A domains. Finally,
the low-frequency plateau arises from stress stored between the chemical
cross-links on time scales greater than the dissociation times of
both coiled-coil domains. The frequencies of the transitions between
these plateaus coincide with local maxima in G″.
Notably, a local minimum in G″ in the L37V:EAE
gel occurs near the intersection of the G″
curves of the individual L37V and EAE gels, consistent with the theoretical
average of the two curves (Figure d and Figure S8).A similar approach was used to prepare networks from mixtures of
proteins that were not expected to exhibit orthogonal physical cross-linking
(Figure b, (v)). While
the relaxation times in single protein networks prepared from L37V
and Q54A are separated by several orders of magnitude, we expected
mixed-species helical bundles to form in networks prepared from equimolar
mixtures of the two proteins. In networks of this kind, eight combinations
of strands are possible in pentameric aggregates of the modified P
domains. Frequency sweep and stress relaxation experiments on L37V:Q54A
gels reveal a broad distribution of relaxation times, in contrast
to the two discrete relaxation processes observed in EAE:L37V gels
(Figure e,f and Figure S7b). This difference is most evident
by comparing the loss modulus of the L37V:Q54A network and the theoretical
average value of G″ calculated from the G″ curves for the L37V and Q54A single protein networks;
the clear local maxima and minimum expected from averaging the two
curves are absent in L37V:Q54A gels (Figure d and Figure S8). A decrease in G′ and an increase in G″ are observed at the lowest frequencies in L37V:Q54A
gels on the time scale characteristic of Q54A physical cross-links.
This suggests that a significant number of homotypic Q54A cross-links
form in this gel, which is perhaps not surprising given that Q54A
is expected to have a higher fraction of folded midblock domains than
L37V.[32]
Conclusions
The
sequence-structure-function paradigm has long guided our understanding
of protein behavior and our efforts to design new proteins. Here we’ve
shown how sequence variation can be used to engineer the dynamic mechanical
behavior of protein networks. Dynamic materials are expected to play
important roles in regulating cell and tissue behavior,[6−9,37−39] and to exhibit
enhanced toughness through programmed dissipation of the energy associated
with mechanical deformation.[40] The use
of molecular genetics to program relaxation behavior in soft materials
will create important new opportunities in materials science, cell
and tissue engineering, and regenerative medicine.
Materials and
Methods
Protein Expression and Purification
Construction of
the pQE-80L plasmids encoding the EPE variants and EAE is described
in the Supporting Information. The artificial
proteins were expressed in BL21 Escherichia coli (New
England BioLabs, Ipswich, MA) and purified by methods similar to those
previously published[26] with some modifications.
Briefly, 1 L cultures were grown at 37 °C in Terrific broth containing
100 μg mL–1 ampicillin (BioPioneer, San Diego,
CA) to an optical density at 600 nm (OD600) of 1. Isopropyl
β-d-1-thiogalactopyranoside (IPTG) (BioPioneer) was
added to a final concentration of 1 mM, and the cells were harvested
4 h later by centrifugation at 6000g for 8 min at
4 °C. The cells were frozen at a concentration of 0.5 g mL–1 in TEN buffer (10 mM Tris, 1 mM EDTA, 100 mM NaCl,
pH 8.0) supplemented with 5% (v/v) glycerol, 0.1% (w/v) sodium deoxycholate
(Sigma, St. Louis, MO), and 0.1% (v/v) TritonX-100 (Sigma). After
being thawed, the lysate was treated with 10 μg mL–1 DNaseI (Sigma), 5 μg mL–1 RNaseA (Sigma),
5 mM MgCl2, and 1 mM phenylmethylsulfonyl fluoride (Gold
Biotechnology, Olivette, MO) while shaking at 37 °C, 250 rpm
for 30 min. The lysate was then sonicated for 5 min (2 s on, 2 s off,
30% power amplitude) (QSonica, Newton, CT) and allowed to rest for
2 h on ice. β-Mercaptoethanol (βME) (Sigma) was added
to the lysate at a final concentration of 1% (v/v) following sonication.The target proteins were purified from the E. coli lysate by three rounds of temperature cycling.[41] The lysate was centrifuged at 39000g for
1 h at 4 °C to remove insoluble proteins and cellular debris.
Crystalline NaCl was added to the supernatant at a final concentration
of 2 M followed by shaking at 250 rpm, 37 °C for 1 h. The aggregated
proteins were collected by centrifugation at 39000g for 1 h at 37 °C and solubilized overnight at a concentration
of 100 mg mL–1 in cold TEN buffer containing 1%
(v/v) βME. Two more cycles were completed with 30 min centrifugation
spins. The βME was omitted in the final resuspension step. Instead,
5 mM tris(hydroxypropyl)phosphine (THP) (Santa Cruz Biotechnology,
Dallas, TX) was added, and the protein solution was incubated at 4
°C for 2 h. The purified protein was desalted into LC-MS grade
water (Fluka, St. Louis, MO) using Zeba 7K MWCO columns (Thermo Fisher
Scientific, Waltham, MA) and lyophilized for 4 days. The lyophilized
protein was stored under argon at −80 °C or used immediately.
Typical yields were greater than 100 mg per liter of culture. Characterization
of the artificial proteins by SDS-PAGE, mass spectrometry, and Ellman’s
assay is described in the Supporting Information.
Hydrogel Cross-Linking and Swelling
The lyophilized
artificial proteins were dissolved at a concentration of 150 mg mL–1 in degassed cross-linking buffer (0.1 M sodium phosphate,
6 M guanidinium chloride, 0.4 M triethanolamine, pH 7.4) by sonicating
for 2 min in an ultrasonic bath. Bubbles were removed by centrifugation
at 10000g for 1 min. The PEG-4VS cross-linker (Jenkem
USA, Plano, TX) was dissolved at a concentration of 150 mg mL–1 in degassed 0.4 M triethanolamine, pH 7.4. Cross-linking
was initiated by mixing the two solutions in a volumetric ratio that
gave a 1:1 stoichiometry between the thiol and vinyl sulfone functional
groups. The solution was vortexed to ensure homogeneous mixing and
quickly
pipetted onto a glass slide that was treated with SigmaCote (Sigma).
A second treated glass slide was placed on top of the droplet and
supported by spacers cut from a 1 mm thick rubber sheet (McMaster-Carr,
Santa Fe Springs, CA). The slides were clamped together, and the gels
were allowed to cure in the dark overnight.Hydrogels prepared
for rheological measurements were transferred to a dish containing
6 mL of phosphate-buffered saline (PBS) (1.5 mM KH2PO4, 4.3 mM Na2HPO4, 137 mM NaCl, 2.7 mM
KCl, pH 7.4) plus 6 M guanidinium chloride. The gels were swollen
in this buffer for 3 h before switching to PBS plus 3 M guanidinium
chloride for 3 h, then PBS plus 2 M guanidinium chloride for 3 h,
PBS plus 1 M guanidinium chloride for 3 h, and finally PBS. The gradual
decrease in the guanidinium chloride concentration is intended to
allow unreacted protein chains to diffuse out of the gel and to promote
proper folding of the coiled-coil domains. For extended swelling in
PBS (longer than 1 day), 0.02% (w/v) sodium azide (Sigma) was added
to the buffer to inhibit microbial contamination. Measurement of the
hydrogel mass swelling ratio is described in the Supporting Information.
Rheology
Swollen
hydrogels prepared from EPE, EAE,
and EPE variants were characterized by small amplitude oscillatory
shear rheology and shear stress relaxation on an ARES-RFS strain-controlled
rheometer (TA Instruments, New Castle, DE). Gels were cut into disks
with an 8 mm biopsy punch (Miltex, York, PA), loaded between the 8
mm parallel plate test geometry as previously described[26,42] and equilibrated for 1 h. Frequency sweeps were acquired at 2% strain
amplitude, 25 °C. Following the frequency sweep, a stress relaxation
experiment was performed with a 2% step strain at 25 °C. For
each stress relaxation experiment, the relaxation function G(t) was fit with the stretched exponential
previously used for physical protein hydrogels[20] and modified here with the parameter Ge to account for the contribution of the permanent covalent
network.The physical cross-linking is described
by
the parameter G as well as the relaxation time scale
τKWW and the exponent β, which varies between
0 and 1. The mean relaxation time for each material is calculated
fromwhere is the gamma function evaluated at β–1.For mixed protein networks, G(t) was fit to a double stretched exponential model:which contains two exponential terms
identical
to those in eq and
an equilibrium modulus Ge representing
the covalent cross-linking. To fit the experimental G(t) data for the L37V:EAE and L37V:Q54A networks,
the characteristic relaxation time scales (τ1 and
τ2) and the stretching exponents (β1 and β2) were fixed at the values determined from
the L37V and EAE or Q54A single protein networks, leaving G1, G2, and Ge as adjustable parameters.The average
molecular weight between covalent cross-links (Mc) was estimated by the phantom network approximation.
For an ideal network cross-linked in the presence of solvent and swollen
to equilibrium,where R is the universal
gas constant, T is temperature in K, C0 is the initial polymer concentration, G is the shear modulus, and φ and φ0 are the
equilibrium and initial polymer volume fractions.[31,43,44] The PEG-4VS cross-linker has a functionality, f, of 4.[45] For each gel, the
equilibrium polymer volume fraction was estimated from the mass swelling
ratio and the initial polymer volume fraction was calculated from
the total polymer concentration during cross-linking (150 mg mL–1). For determining the average molecular weight of
chain segments connected by covalent cross-links, the relevant value
of the shear modulus was determined by evaluating the relaxation function G(t) at t → ∞.
The theoretical molecular weight between covalent cross-links in the
end-linked network was calculated by adding the molar mass of the
protein (21.5 kg mol–1) and the molar mass of two
arms of the PEG-4VSpolymer (2 × 5 kg mol–1), for a total of 26.5 kg mol–1.
Authors: Shauheen S Soofi; Julie A Last; Sara J Liliensiek; Paul F Nealey; Christopher J Murphy Journal: J Struct Biol Date: 2009-05-27 Impact factor: 2.867
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Authors: Austin J Graham; Christopher M Dundas; Alexander Hillsley; Dain S Kasprak; Adrianne M Rosales; Benjamin K Keitz Journal: ACS Biomater Sci Eng Date: 2020-02-04
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