Justin Siefker1, Ralf Biehl2, Margarita Kruteva2, Artem Feoktystov3, Marc-Olivier Coppens1. 1. Centre for Nature Inspired Engineering (CNIE) and Department of Chemical Engineering , University College London , London WC1E 7JE , United Kingdom. 2. Jülich Centre for Neutron Science (JCNS-1) and Institute for Complex Systems (ICS-1) , Forschungszentrum Jülich GmbH , Jülich 52425 , Germany. 3. Jülich Centre for Neutron Science (JCNS) at Heinz Maier-Leibnitz Zentrum (MLZ) , Forschungszentrum Jülich GmbH , Garching 85747 , Germany.
Abstract
While mesoporous silicas have been shown to be a compelling candidate for drug delivery and the implementation of biotechnological applications requiring protein confinement and immobilization, the understanding of protein behavior upon physical adsorption into silica pores is limited. Many indirect methods are available to assess general adsorbed protein stability, such as Fourier-transform infrared spectroscopy and activity assays. However, the limitation of these methods is that spatial protein arrangement within the pores cannot be assessed. Mesoporous silicas pose a distinct challenge to direct methods, such as transmission electron microscopy, which lacks the contrast and resolution required to adequately observe immobilized protein structure, and nuclear magnetic resonance, which is computationally intensive and requires knowledge of the primary structure a priori. Small-angle neutron scattering can surmount these limitations and observe spatial protein arrangement within pores. Hereby, we observe the stabilization of fluid-like protein arrangement, facilitated by geometry-dependent crowding effects in cylindrical pores of ordered mesoporous silica, SBA-15. Stabilization is induced from a fluid-like structure factor, which is observed for samples at maximum protein loading in SBA-15 with pore diameters of 6.4 and 8.1 nm. Application of this effect for prevention of irreversible aggregation in high concentration environments is proposed.
While mesoporous silicas have been shown to be a compelling candidate for drug delivery and the implementation of biotechnological applications requiring protein confinement and immobilization, the understanding of protein behavior upon physical adsorption into silica pores is limited. Many indirect methods are available to assess general adsorbed protein stability, such as Fourier-transform infrared spectroscopy and activity assays. However, the limitation of these methods is that spatial protein arrangement within the pores cannot be assessed. Mesoporous silicas pose a distinct challenge to direct methods, such as transmission electron microscopy, which lacks the contrast and resolution required to adequately observe immobilized protein structure, and nuclear magnetic resonance, which is computationally intensive and requires knowledge of the primary structure a priori. Small-angle neutron scattering can surmount these limitations and observe spatial protein arrangement within pores. Hereby, we observe the stabilization of fluid-like protein arrangement, facilitated by geometry-dependent crowding effects in cylindrical pores of ordered mesoporous silica, SBA-15. Stabilization is induced from a fluid-like structure factor, which is observed for samples at maximum protein loading in SBA-15 with pore diameters of 6.4 and 8.1 nm. Application of this effect for prevention of irreversible aggregation in high concentration environments is proposed.
Confinement of biomolecules
in structured nanoporous materials offers advantages, such as improved
stability, in biological and synthetic systems. Immobilization of
proteins on confined surfaces is essential to many applications of
modern protein engineering in areas of catalysis, sensing, separations,
and medicine.[1−3] In confined environments, geometric properties, such
as surface curvature, play a significant role in addition to physical
properties. Ordered mesoporous materials like Santa Barbara Amorphous-15
(SBA-15) silica are considered good candidates for these applications,
due to their large pore volume and surface area, as well as tunable
pore size, geometry, and surface chemistry. Two main challenges of
protein confinement are (i) loading of protein into the mesoporous
structure (immobilization, pore packing efficiency), and (ii) influence
of surface interactions on protein structure and dynamics.Under
certain conditions, pore filling limitations can be overcome
and the maximum theoretical material packing limit can be reached.[4] Sang and Coppens have shown how pore surface
geometry and chemistry affect activity and structure of adsorbed protein.[5] The authors observed enhanced enzymatic activity
when protein was electrostatically adsorbed in cylindrical pores of
a diameter barely wider than the protein, and that this enhancement
effect depends on the degree of pore curvature. The activity increase
also correlated with preservation of protein secondary structure,
as quantified by FTIR. Tertiary structural changes could only be presumed,
leaving additional structural and dynamic details to be desired. Elastic
and quasielastic neutron scattering of myoglobin (mb) in silica hydrogel
revealed the crucial role porous silica matrices can play,[6] and SBA-15 has been discussed as a compelling
candidate for immobilization and delivery of protein therapeutics.[7] The uniqueness of SBA-15 derives from similarity
to the GroEL/ES chaperonin, which assists the proper folding and refolding
processes of small, cytosolic, globular proteins in the aggregation
prone cellular environment.[8] This chaperonin
facilitates folding via a kinetically mediated minimization of free
energy from an initially perturbed, destabilized state. As in SBA-15,
steric and electrostatic force balancing effects are crucial.SBA-15 has well-defined geometric properties with conveniently
characterizable defects that allow for ease in modeling and experimental
characterization.[9] Locally cylindrical
pores enable structural analysis, and control of surface curvature.[10] Thus, SBA-15 is the primary material for investigation,
alongside the topological variant KIT-6 (Korean Advanced Institute
of Science and Technology-6; an Ia3̅d bigyroidal, body-centered cubic structure with twisted,
interpenetrating, bicontinuous, constant-diameter pores), allowing
investigation of compelling materials, while enabling robust analysis.
Herein, we report on adsorbed protein arrangement in pores with respect
to confining pore morphology and adsorbed protein concentration, for
lysozyme (lyz) and myoglobin (mb), informed by small-angle neutron
scattering (SANS). This study observes the stabilization of fluid-like
protein–protein coordination of lysozyme and myoglobin driven
by intrinsically high protein pore concentration and nanoporous confining
geometry. The experimental space of this investigation is shown in Figure .
Figure 1
Experimental sample space.
To better illustrate geometry, the KIT-6
representation portrays an exaggerated pore diameter to unit cell
size ratio.
Experimental sample space.
To better illustrate geometry, the KIT-6
representation portrays an exaggerated pore diameter to unit cell
size ratio.The materials, proteins,
and concentrations chosen allow comparison
over confinement curvature, pore topology, protein type and charge,
and concentration regime. Samples were evaluated in 25 mM phosphate
D2O buffer (pH 7.2) within the activity range of each protein
ensuring structural integrity.[11,12] This results in a net
neutral charge of myoglobin (pI 7.2), and a net positive charge of
lysozyme (pI 11.35), facilitating electrostatic attraction with the
silica surface (pI 2). Protein concentrations of 5, 10, 50 mg/mL pore
volume, and maximum pore loading (see Supporting Information [SI]) were selected to evaluate both Henry’s
regime (minimal protein–protein interactions) and concentration
with greatest protein–protein interaction. Sample preparation
is discussed in the SI and includes hydrogen/deuterium
(H/D) exchange, protein physisorption, and sedimentation into analysis
cells as an isotropic powder. SANS measurements were performed using
the KWS-1 instrument operated by Jülich Centre for Neutron
Science (JCNS) at the Heinz Maier-Leibnitz Zentrum (MLZ).To
determine the protein shape observed by SANS and examine protein–protein
interactions, bulk protein samples were measured (see SI). Protein size and shape was evaluated using
an ellipsoid of revolution form factor.[13] This resulted in a volume of 18.2 ± 0.9 nm3 and
axial ratio of 0.43 for myoglobin (oblate ellipsoid), and a volume
of 17.8 ± 0.3 nm3 and axial ratio of 2.3 for lysozyme
(prolate ellipsoid). At low concentrations, form factors show agreement
with Protein Data Bank crystal structures (PDB IDs: 2lyz and 1mbn). Above 50 mg/mL,
the observed myoglobin structure factor suggests repulsion, while
the lysozyme structure factor suggests a partially attractive interaction.
Bulk samples of maximum protein concentration for both proteins show
a loss of monomeric concentration, due to sedimentation of protein
aggregates. This effect is more pronounced for lysozyme, due to attractive
interactions.Unloaded material profiles were modeled using
a scattering intensity
expression described by Engel et al.[14] and
complemented by convolution with the resolution function of the instrument
according to procedures described by Pedersen et al.[15] (see Figure and SI).
Figure 2
SBA-15 8.1 nm material scattering and
model fit. Each component
includes the incoherent background contribution: Bragg reflections,
diffuse scattering, and Porod scattering (each scaled to best fit).
Bragg reflection peaks are marked with vertical lines (listed in sequence:
(100), (110), (200), (210), (300), (220), (310)). All contributions
are smeared by the resolution of the instrument resulting in a break
at approximately 0.4 nm–1, due to a change in detector
distance.
SBA-15 8.1 nm material scattering and
model fit. Each component
includes the incoherent background contribution: Bragg reflections,
diffuse scattering, and Porod scattering (each scaled to best fit).
Bragg reflection peaks are marked with vertical lines (listed in sequence:
(100), (110), (200), (210), (300), (220), (310)). All contributions
are smeared by the resolution of the instrument resulting in a break
at approximately 0.4 nm–1, due to a change in detector
distance.The space group geometry of the
oriented pore lattice is described
by a material structure factor, SSiO(q), and cylindrical form factor, ⟨Fc(q)⟩2, including
pore size distribution (25% width). Bragg scattering peaks are described
by Gaussian functions; due to an intrinsically similar nature, pore
size distribution, pore wall roughness, and lattice distortions lead
to a gradual decrease of Bragg peak intensities described by a Debye–Waller
like factor, e–σ. This
preferentially suppresses the signal from higher order Bragg peaks.[16] Diffuse scattering, Idiff(q), is due to material distortions, such as lattice
distortions or material inhomogeneity, and includes deviation from
a cylindrical pore geometry.[17]Eq accounts for Porod scattering, IP(q), ∼q–4, from the particle surface, and incoherent background, Iinc. As seen in Figure , this allows for a well conditioned fit
of the materials, in good agreement with supporting characterization
data (see SI). In particular, for q-values greater than the first Bragg peak, the main contribution
to intensity is from diffuse scattering.Figure shows the
scattering intensities for SBA-15 with 6.4 and 8.1 nm pores loaded
with myoglobin and lysozyme. While lower loadings show general similarity
over scattering profiles (see SI for KIT-6
6.0 nm), a distinct difference for the highest concentration samples
(maximal loadings) becomes apparent for SBA-15 8.1 nm. At maximal
loadings, a strongly broadened peak between 1.5 and 2.5 nm–1 appears. Concurrently, the second-order hexagonal peaks (110) and
(200) vanish, which is also found for the 6.4 nm sample. Otherwise,
it is observed that with increasing protein concentration, the first
hexagonal peak (100) is flanked by a larger surrounding background,
and that, at high q-values, general scattering intensity
increases with protein concentration.
Figure 3
Scattering of myoglobin and lysozyme loaded
on SBA-15 with a mesopore
diameter of 6.4 and 8.1 nm. Lysozyme data are shifted by a factor
of 10. Black lines show the material model, which is complemented
by an additional protein contribution for maximal protein concentration
samples (max). Protein contributions are incorporated using the fluid-like
3D Percus–Yevick structure factor. Bragg reflection peaks are
marked with vertical lines (listed in sequence: (100), (110), (200),
(210), (300), (220), (310)). All contributions are smeared by the
resolution of the instrument resulting in a break at approximately
0.4 nm–1 due to a change in detector distance.
Scattering of myoglobin and lysozyme loaded
on SBA-15 with a mesopore
diameter of 6.4 and 8.1 nm. Lysozyme data are shifted by a factor
of 10. Black lines show the material model, which is complemented
by an additional protein contribution for maximal protein concentration
samples (max). Protein contributions are incorporated using the fluid-like
3D Percus–Yevick structure factor. Bragg reflection peaks are
marked with vertical lines (listed in sequence: (100), (110), (200),
(210), (300), (220), (310)). All contributions are smeared by the
resolution of the instrument resulting in a break at approximately
0.4 nm–1 due to a change in detector distance.When evaluating lower loading
concentrations (≤50 mg/mL)
and KIT-6 samples, low signal amplitude arising from additional protein
does not allow direct extraction of reliable protein information.
Protein adsorbed onto the wall or free inside the pores is regarded
as a distortion of the scattering length density distribution and
contributes to the diffuse scattering term.[18] This results in a rise of the diffuse scattering amplitude observable
as an increase in intensity below the first peak in Figure . Only a minor change is observed
in the corresponding correlation length, ξdiff (see SI). The scattering contrast of protein (4 ×
10–4 nm–2) is only larger than
the scattering contrast of silica (2.1 × 10–4 nm–2) by a factor of 2 (see SI). Therefore, scattering contributions attributed to protein
could also be interpreted as resulting from the pore size distribution,
pore wall microporosity, pore surface roughness, and lattice distortions,
all of which lead to a lower Debye–Waller like factor (increased
σDW). In general, higher-order peaks of the SBA-15
porous lattices vanish as σDW increases (by a factor
of 3 to 5 for 8.1 nm SBA-15, and 1.5 to 2 for 6.4 nm SBA-15). Similar
behavior is observed for KIT-6 samples, although the second-order
peak shape is distorted by the variable pore radius or curvature.
Nonetheless, the first peak is well described by a cylindrical pore
geometry, independently of KIT-6 topology. The average contrast between
the silica matrix and solvent decreases with increasing protein concentration,
reducing the observed (100) peak intensity. This conclusion is supported
by the lesser degree in which these effects are present for the KIT-6
samples, as this material adsorbs significantly less protein per pore
volume (see SI).Additional intensity
observed for maximum loaded SBA-15 samples
cannot be explained by diffuse scattering or by incorporating protein
form factor scattering. These components, at adequate protein concentrations,
cannot reproduce the broad peaks observed. Alternatively, the high
packing density with direct protein interactions could promote a fluid-like
spatial arrangement within the pores, which can be represented by
a fluid-like structure factor, such as the Percus–Yevick structure
factor.[19,20] The scattering intensity of a fluid arrangement
of proteins is described as the product of its structure and form
factors. Restriction by nanoconfinement in cylindrical pores, however,
changes the observable form factor to the convolution (*) of the cylinder
form factor with the protein form factor (see SI for derivation). This leads to an additional contribution
to the diffuse scattering term, aswhich depends on cylinder
density, nC, protein density, nP, protein scattering amplitude, ϱp(q) (yielding the protein form factor as
⟨ϱP(q)ϱP*(q)⟩), cylinder scattering
amplitude, C(q), and fluid structure
factor, SP(q).Scattering intensities of samples loaded to saturation are fit
with eq , incorporating
the diffuse scattering contribution of eq . Protein is described as an ellipsoid of
revolution equivalent to bulk protein. The Percus–Yevick structure
factor[19,20] is used as an approximation for the real
structure factor between asymmetric ellipsoids, assuming broader distribution
of volume fractions in the pores (Gaussian, cut at the upper one-sigma
border). Following this hypothesis, volume fractions of approximately
64% for lysozyme and 40% for myoglobin are found. The preferential
adsorption of lysozyme compared to myoglobin has been observed before.[21] Such high volume fractions indicate the Percus–Yevick
structure factor may only serve as an approximation of the real protein–protein
structure. The maximum volume fraction for disordered close packed
spheres is 64% and for hexagonal close packing is 74%. For lysozyme
the disordered close packing limit is reached. Reproduction of the
observed peak positions corroborates a very close fluid-like packing
of the proteins. As proteins are not completely rigid spherical objects,
even higher packing fractions are potentially achievable, while still
maintaining a fluid-like structure.It is remarkable that lysozyme,
with the higher packing fraction
and attractive protein–protein interactions, is not extensively
aggregated. One explanation could be that lysozyme creates disordered
pore blocking aggregates within the pore matrix, although prior research
shows increased enzymatic activity under these sample conditions.[5] Alternatively, this result suggests the confining
environment and geometry inhibit undesirable protein–protein
interactions that prevent protein deactivation and stabilize protein
packing at high concentrations. The moderate volume fraction of myoglobin
(40%) allows for protein movement, suggesting characteristically nonsterically
hindered fluid-like behavior.For both cases, it is striking
that neither show power law scattering
∼q–, with fractal dimension df, which
is associated with formation of aggregates or aggregated clusters.[22] This is remarkable, because both can form aggregates
or fibrils at such high concentrations.[23−25] While myoglobin stabilization
may be due to the heme group, unconfined lysozyme would be expected
to aggregate at such high concentration and surface proximity. One
possibility is that, due to attractive electrostatic interactions
from the silica surface and adjacent nearest neighbor protein pairs,
lysozyme monomers are not frozen, but stabilized in a high-density,
fluid-like state. As narrow, cylindrical pores limit protein–protein
interactions to be quasi-one-dimensional, cylindrical mesopores could
prevent irreversible aggregation by sterically hindering high-mer
aggregate formation, and only allowing formation of dynamically reversible
low-mer lysozyme aggregates.[26] This is
supported by the fact that the partially unfolded state of lysozyme,
which forms dimer aggregates, is fully reversible, considered an inherent
fluctuation of the native protein state, and on the native side of
the free energy barrier of unfolding.[26] This effect, in conjunction with steric restrictions, limits formation
of amyloid fibrils (which require unfolding of the protein monomer)
and amyloid-like protofibrils (which require high-mer protein aggregates).
Because of the electrostatic interactions, confinement could also
facilitate the reversibility of low-mer aggregate formation. As this
environment bears similarities to the GroEL/ES chaperonin,[7] and induced protection effects have been previously
demonstrated,[27] this proposition is compelling.To the authors’ knowledge, this is the first time confinement-facilitated
protein arrangement has been observed. The analysis and observations
were enabled through the use of the well-defined silica, SBA-15, and
the use of SANS, under conditions allowing sufficient protein–material
scattering contrast. This work demonstrates how SANS offers opportunities
to observe the spatial order of proteins confined within ordered substrates
and can drive insights about confinement behavior.
Authors: Bouzid Menaa; Carlos Torres; Mar Herrero; Vicente Rives; Aaron R W Gilbert; Daryl K Eggers Journal: Biophys J Date: 2008-08-01 Impact factor: 4.033
Authors: Denis Canet; Alexander M Last; Paula Tito; Margaret Sunde; Andrew Spencer; David B Archer; Christina Redfield; Carol V Robinson; Christopher M Dobson Journal: Nat Struct Biol Date: 2002-04