An emerging new paradigm is that immune cell activation is controlled by transient interactions between supramolecular assemblies of receptors and ligands. Current immunotherapy biologic pharmaceuticals that activate or desensitize NK cells are, however, individual molecules that do not replicate this nanoscale organization of proteins. Here, we use nanoscale graphene oxide (NGO) as a template to generate soluble nanoscale clusters of Natural Killer cell-activating antibodies. We control nanocluster size and molecular number to mimic reported values for cell surface proteins. These NGO-templated molecular nanoclusters, used to stimulate NK cells via the CD16 receptor, successfully induced cellular activation, indicated by degranulation of cytolytic granules and IFN-γ secretion. Importantly, activation significantly exceeded that induced by the same antibodies applied as a solution of individual molecules. These results demonstrate that future immunotherapies could be enhanced by assembling immunomodulatory drugs into nanoclusters and establish NGO-templating as a candidate technology.
An emerging new paradigm is that immune cell activation is controlled by transient interactions between supramolecular assemblies of receptors and ligands. Current immunotherapy biologic pharmaceuticals that activate or desensitize NK cells are, however, individual molecules that do not replicate this nanoscale organization of proteins. Here, we use nanoscale graphene oxide (NGO) as a template to generate soluble nanoscale clusters of Natural Killer cell-activating antibodies. We control nanocluster size and molecular number to mimic reported values for cell surface proteins. These NGO-templated molecular nanoclusters, used to stimulate NK cells via the CD16 receptor, successfully induced cellular activation, indicated by degranulation of cytolytic granules and IFN-γ secretion. Importantly, activation significantly exceeded that induced by the same antibodies applied as a solution of individual molecules. These results demonstrate that future immunotherapies could be enhanced by assembling immunomodulatory drugs into nanoclusters and establish NGO-templating as a candidate technology.
Immunotherapies
are revolutionizing
cancer treatments, as the focus shifts from drugs that kill tumors
directly, toward harnessing the body’s natural immune defenses.[1−3] Key players include leukocytes such as T cells[4,5] and closely related Natural Killer (NK) cells.[6,7] These
recognize target cells and communicate with other immune cells via
intimate cell–cell contacts, known as immunological synapses.[8−11] Importantly, the majority of interactions in immunological synapses
are not between isolated ligand–receptor pairs but rather involve
clusters of cell surface molecules in the size range 10–400
nm.[12−15] The size of these clusters correlates with cell signaling, and evidence
is emerging that such nanostructural changes may be key drivers of
immune cell activation.[13,15−19]However, the importance of nanoscale clustering has not fed
through
into immunotherapy biologic agents for activating immune cells. Monoclonal
antibodies, for example, each bind only a single Fc receptor such
as the NK cell activating receptor CD16. This can impact on signaling,
for example, Rituximab, one of the best-characterized antibodies used
medically, activates NK cells when it is bound to a surface such as
the surface of a target cell (in this case a B cell), but only weakly
induces activation as an unbound soluble reagent.Here, we have
created an acellular soluble reagent that exploits
receptor nanoclustering to activate immune cells. This consists of
artificial clusters of leukocyte-stimulating ligands that mimic immunoreceptor
nanoclusters in terms of size and molecular number. Specifically,
the ligand molecules are mounted on a scaffold of functionalized nanoscale
graphene oxide (NGO). NGO’s planar shape means that they can
extend to large (>50 nm) sizes without imposing the sharp curvatures
associated with, for example, spherical nanoparticles, which would
likely influence activation.[20] Furthermore,
NGO is functionalizable and variants have been proposed for drug delivery,
diagnostics, and phototherapy.[21−24]We have demonstrated the efficacy of NGO-templated
biomimetic nanoclusters
as immune cell activating reagents in NK cells. Here, we focus on
one of the best-characterized NK cell activating receptors, CD16,
which recognizes the Fc portion of antibodies that have coated target
cells, inducing target cell lysis (antibody-dependent cellular cytotoxicity,
ADCC) and cytokine secretion.We first developed a protocol
to prepare antibody-functionalized
NGO sheets of high purity and colloidal stability with direct knowledge
of sheet size and molecular number. This has been applied to generate
NGO functionalized with monoclonal antibodies that bind human CD16
with sheet size and molecular number in the correct range for cell
surface receptor nanoclusters observed in super-resolution studies
of leukocytes.[12,13,15,25,26] These artificial
nanoclusters are confirmed to specifically bind primary human NK (pNK)
cells via the CD16 receptor. Critically, they function as an activating
reagent, enhancing NK cell effector functions in terms of both cytolytic
responses as indicated by increased levels of cell-surface CD107a,
a marker of degranulation, and the secretion of the cytokine IFN-γ.
Development
of NGO-Templated Biomolecular Nanoclusters
A key property
of biomolecular nanoclusters in the immune synapse
is size, and our artificial nanoclusters should be synthesized in
a realistic size range. Because super-resolution data on nanocluster
sizes is only available for a few molecules, not currently including
CD16, we chose to construct nanoclusters with a median size (diameter)
of ∼150 nm, similar to that observed for the NK cell surface
receptor KIR2DL1[15] and in the middle of
the reported range for TCR nanoclusters in activated T cells.[12] This was achieved using NGO flakes (2D-Tech,
Manchester, U.K.) with purification steps carried out postfunctionalization
delivering a narrow size distribution (see below).A schematic
of the chemical approach we developed to construct NGO-templated antibody
nanoclusters is given in Figure a with nanocluster characterization shown in Figure b–g. Because
our aim was to deliver a soluble stimulation system, and unfunctionalized
NGO is unstable in salt concentrations of biological relevance, the
first requirement was to functionalize the NGO with a stabilizing
poly(ethylene glycol) (PEG) coating. PEG is widely used to protect
bionanomaterials from flocculation and nonspecific interactions with
proteins. PEGylated NGO specifically has been shown to be viable for
in vivo applications with low toxicity and effective long-term clearance[27] as have other highly purified NGO materials.[28] Here, PEG-coating was achieved by first coupling
carboxylic acid groups to the NGO surface and then binding amine-terminated
PEG via EDC-activation of the carboxylic acid groups. Looking directly
at colloidal stability, 8-arm star PEG (Mw 40 kDa, amine-terminated arms) was effective in stabilizing NGO
at physiologically comparable salt concentrations, whereas 4-arm star-PEG
(Mw 20 kDa) was not (Figure d), hence the 8-arm was used
throughout. Successful conjugation of PEG was confirmed by infrared
(IR) spectroscopy with the appearance of C=O (amide, 1638 cm–1) and ether C–H (3870 cm–1) absorbances (Figure b). The quantity of attached PEG was determined using thermogravimetric
analysis (TGA) (Figure c), giving 70 ± 5 wt % for a typical set of conditions.
Figure 1
Characterization
of NGO-templated antibody nanoclusters. (a) Schematic
of NGO functionalization (not to scale). (b) IR spectra of GO, NGO–COOH,
and NGO-PEG showing characteristic absorbances related to the successful
conjugation of 8-arm star-PEG-NH2 to NGO–COOH at
1638 cm−1 (amide C=O stretch) and 3870 cm−1 (ether C–H stretch), which are not observed
in GO or NGO–COOH. (c) TGA profile of NGO-PEG, with reference
profiles for PEG and NGO as separate species. (d) 8-arm PEGylation
of NGO eliminates visible flocculation in 1 M NaCl and PBS in contrast
to 4-arm PEGylation and as-received NGO. (e) UV–visible spectrum
of NGO-mAb molecular nanoclusters with fluorescent dye-conjugated
antibodies, showing protein and dye-associated peaks below 300 nm
and dye-alone peak at 546 nm (expanded in inset). (f) Inset data with
fit to NGO subtracted for UV–visible quantification of antibody
functionalization.
Characterization
of NGO-templated antibody nanoclusters. (a) Schematic
of NGO functionalization (not to scale). (b) IR spectra of GO, NGO–COOH,
and NGO-PEG showing characteristic absorbances related to the successful
conjugation of 8-arm star-PEG-NH2 to NGO–COOH at
1638 cm−1 (amide C=O stretch) and 3870 cm−1 (ether C–H stretch), which are not observed
in GO or NGO–COOH. (c) TGA profile of NGO-PEG, with reference
profiles for PEG and NGO as separate species. (d) 8-arm PEGylation
of NGO eliminates visible flocculation in 1 M NaCl and PBS in contrast
to 4-arm PEGylation and as-received NGO. (e) UV–visible spectrum
of NGO-mAb molecular nanoclusters with fluorescent dye-conjugated
antibodies, showing protein and dye-associated peaks below 300 nm
and dye-alone peak at 546 nm (expanded in inset). (f) Inset data with
fit to NGO subtracted for UV–visible quantification of antibody
functionalization.To attach cell-stimulating
molecules, we chose biotin–streptavidin
linkage because this is highly flexible for the subsequent choice
of attached biomolecules. Biotin groups were first linked to the remaining
free amine groups on the star-PEG, at a sufficient density to saturate
streptavidin adsorption on the NGO surface (∼1 biotin per 11
nm2). The resultant NGO-star-PEG-biotin was then streptavidin-coated,
using streptavidin at a large excess to mimimize cross-linking between
sheets,[29] purified by centrifugal filtration,
and streptavidin conjugation was confirmed by UV–visible spectroscopy
at 280 nm (Figure d). The streptavidin-coated NGO-PEG-biotin was then conjugated with
antibody molecules that had been fluorescently labeled (AlexaFluor546,
∼ 1 fluorophore per antibody molecule) and biotinylated at
an optimal level to again mimimize intersheet cross-linking (∼6
biotins per antibody molecule). This delivered the desired antibody-conjugated
NGO nanoclusters with minimal free antibody as confirmed by centrifugation
and UV–visible spectroscopy of the supernatant.To apply
controlled nanoscale stimulation to NK cells, we paid
precise attention to quantifying the nanocluster size and the number
of molecules per nanocluster, and to removing unconjugated biomolecules
that might provide additional stimulation to cells. These requirements
are in excess of previous studies where NGO-antibody conjugates produced
by various methods are applied to drug delivery or diagnostic targeting.[21,22,30]Accordingly, we have quantified
the size distribution for each
batch of antibody-NGO prepared by atomic force microscopy (AFM) (Figure a–h). In a
typical example (Figure b,e), the lateral size of the antibody-NGO nanoclusters is 151 ± 2435 (median value
with ± indicating interquartile range) (Figure h), hitting the target size range outlined
above. The height is 3.9 ± 1.01.7 nm (similarly indicated as the median with
+ and – indicating the locations of the first and third quartiles,
similarly throughout this section) consistent with a single NGO sheet
functionalized on both sides, and substantially greater than the height
of NGO-PEG alone (Figure a,d). The number of antibody molecules per NGO-Ab nanocluster
was determined by quantifying the concentrations of NGO and antibody
using UV–vis spectroscopy (Figure e,f) and combining with the nanocluster size
from AFM. For the 151 nm NGO-α-hCD16, there were 133 ± 3971 antibody molecules
per nanocluster or ∼60–70 molecules per side, considering
that only one side of the sheet-like nanocluster will bind the cell.
This is in 2–3 fold excess of the, for example, 20–30
receptors per nanocluster reported for TCR nanoclusters, providing
a physiologically plausible stimulus allowing for the fact that a
fraction of the binding sites may be obstructed. Values of sheet lateral
size and number of molecules were consistent within scatter across
similarly prepared batches.
Figure 2
Individualized characterization of NGO-mAb nanoclusters
by atomic
force microscopy (AFM). (a) Representative AFM image of NGO-PEG sample
deposited onto a silicon substrate (Tapping Mode measured in air).
(b,c) Similar images of NGO-α-hCD16 molecular nanoclusters from
two distinct size populations separated by a centrifugation protocol
as described in the text. Scales bars all 500 nm. (d–f) Cross
sections of typical nanosheets marked by green lines in images a–c.
(g,h) Measured height and width distribution of NGO-PEG (101 objects
measured), and the two separated NGO-α-hCD16 populations (98
sheets for the larger and 89 sheets for the smaller population). Dashed
lines represent the median value for each histogram matched by color.
Individualized characterization of NGO-mAb nanoclusters
by atomic
force microscopy (AFM). (a) Representative AFM image of NGO-PEG sample
deposited onto a silicon substrate (Tapping Mode measured in air).
(b,c) Similar images of NGO-α-hCD16 molecular nanoclusters from
two distinct size populations separated by a centrifugation protocol
as described in the text. Scales bars all 500 nm. (d–f) Cross
sections of typical nanosheets marked by green lines in images a–c.
(g,h) Measured height and width distribution of NGO-PEG (101 objects
measured), and the two separated NGO-α-hCD16 populations (98
sheets for the larger and 89 sheets for the smaller population). Dashed
lines represent the median value for each histogram matched by color.We found that the size of the
NGO sheets could be controlled by
varying the amount of postfunctionalization centrifugation, since
larger nanoclusters pellet first. Batches of different sheet sizes
were obtained by repeated centrifugation steps after antibody conjugation,
removing the supernatant each time. Specifically, nanocluster lateral
size was reduced from 151 ± 2435 nm to 72 ± 1119 nm by collecting the supernatant after
the third rather than the first centrifugation (small sheets in Figure C,f–h).
NGO-α-hCD16
Nanoclusters Present Antibody, Bind Specifically
to Primary Human NK Cells (pNK cells)
To confirm that NGO-anchored
biomolecules were functionally accessible, we first determined their
ability to bind commercial polystyrene beads that had been coated
with antimouse IgGκ (α-mIgGκ) antibodies that recognize
the antibodies on both NGO-α-hCD16 and the control NGO-α-mIgG1
nanoclusters. Readout was generated using flow cytometry and exploiting
the AlexaFluor546 labeling of the NGO-conjugated antibodies. To facilitate
direct comparison between antibody immobilized in nanoclusters and
free individual antibody molecules, we used the same overall antibody
concentration in both cases. A 1:1 mix of coated and uncoated beads
was used. For both the NGO-mAb sheets, clear binding to the beads
was shown (Figure a,b). Indeed, NGO-α-hCD16 nanoclusters bound ∼100% of
the coated beads (∼50% overall). For NGO-α-mIgG1, the
binding effectiveness was slightly lower at ∼80% of coated
beads (∼40% overall).
Figure 3
NGO-mAb molecular nanoclusters present antibody
and NGO-α-hCD16
specifically binds pNK cells. (a) Flow cytometry for pNK cells incubated
with a 1:1 mixture of polystyrene beads that are coated with α-mIgG1
and uncoated beads: 50% positive corresponds to maximum binding (within
error). Typical results are shown for both NGO-α-mIgG1 and NGO-α-hCD16
nanoclusters. Negative and positive control experiments used soluble
antibodies (α-mIgG2b and α-hCD16, respectively. (b) Quantification
showing mean and standard deviation across two microbead samples.
(c) Cell-binding. Flow cytometry data showing binding of pNK cells
by nanographene oxide-templated nanoclusters NGO-α-hCD16 versus
the negative control nanocluster NGO-α-mIgG1 and soluble antibody
controls (α-mIgG1 and α-hCD16). The horizontal axis labeled
either CD16 or (561 nm 582/15) refers to the fluorescence intensity
detected at 563–591 nm and associated with the added antibody
or nanocluster in each case. These are representative data using cells
from a single donor. (d) Quantification of the binding to pNK cells
of NGO-α-hCD16 nanoclusters and the other species used in panel
c, showing mean and standard deviation of results from 3 human donors.
Statistical significance is indicated as * p <
0.05, ** p < 0.01 (two-tailed paired parametric t-test). All contour plots are 5%, that is, 20 contour lines.
NGO-mAb molecular nanoclusters present antibody
and NGO-α-hCD16
specifically binds pNK cells. (a) Flow cytometry for pNK cells incubated
with a 1:1 mixture of polystyrene beads that are coated with α-mIgG1
and uncoated beads: 50% positive corresponds to maximum binding (within
error). Typical results are shown for both NGO-α-mIgG1 and NGO-α-hCD16
nanoclusters. Negative and positive control experiments used soluble
antibodies (α-mIgG2b and α-hCD16, respectively. (b) Quantification
showing mean and standard deviation across two microbead samples.
(c) Cell-binding. Flow cytometry data showing binding of pNK cells
by nanographene oxide-templated nanoclusters NGO-α-hCD16 versus
the negative control nanocluster NGO-α-mIgG1 and soluble antibody
controls (α-mIgG1 and α-hCD16). The horizontal axis labeled
either CD16 or (561 nm 582/15) refers to the fluorescence intensity
detected at 563–591 nm and associated with the added antibody
or nanocluster in each case. These are representative data using cells
from a single donor. (d) Quantification of the binding to pNK cells
of NGO-α-hCD16 nanoclusters and the other species used in panel
c, showing mean and standard deviation of results from 3 human donors.
Statistical significance is indicated as * p <
0.05, ** p < 0.01 (two-tailed paired parametric t-test). All contour plots are 5%, that is, 20 contour lines.The first requirement for NGO-α-hCD16
nanoclusters to perform
their intended function of influencing NK cell activity is that they
bind to NK cells via the CD16 receptor. We tested this using flow
cytometry to analyze binding to pNK cells from peripheral blood, again
using fluorescently labeled nanoclusters. To determine the extent
that these cells expressed CD16, cells from each donor were tested
using a solution of individual antibodies as well as the same antibody
immobilized to nanoclusters. Again, an identical overall antibody
concentration (2 μg/mL, sufficient to saturate all expressed
receptors. Figure S1) was applied to cells
in the two cases (soluble individualized antibodies and NGO-α-hCD16
nanoclusters).Using this protocol, we showed that NGO-α-hCD16
nanoclusters
bind effectively to pNK cells with an average of 53% of cells positively
stained across three donors (Figure c,d) in the case of the 151 nm NGO-α-hCD16. This
contrasts with only 6% positive cells when the control NGO-α-mIgG1
nanoclusters are used (p < 0.05), demonstrating
that the binding is mediated by the specificity of the α-hCD16
antibody. The same qualitative result is observed for the smaller
72 nm NGO-α-hCD16 nanoclusters. These results also demonstrate
that our nanocluster synthesis protocol is effective in eliminating
nonspecific binding to these cells. Kinetic measurements (Figure S2) showed slightly slower binding to
pNK cells by larger NGO-α-hCD16 with respect to smaller nanoclusters
and individual antibody molecules.
NGO-Templated Nanoclustering
of α-hCD16 Enhances Its Ability
To Trigger NK Cell Degranulation
We next determined whether
such NGO-nanoclustered ligands deliver enhanced stimulation to NK
cells with respect to solubilized individual molecules. Unusually
for NK cell receptors, ligation of CD16 leads to full functional activation
without the need for ligation of costimulatory receptors or integrins.[31] This solo action underpins the potency of NK
cells in killing antibody-opsonized target cells. It is known, however,
that CD16 stimulation via soluble individual molecules is much less
effective than using ligand molecules that are anchored to a solid
substrate.To assay for NK cell activation, we assessed the
level of CD107a, also known as LAMP-1, found at the cell surface.
CD107a is a component of the lipid membranes that encapsulate cytolytic
compounds such as perforin in vesicles or lytic granules within the
NK cell cytoplasm. When NK cell cytotoxicity is triggered, these granule
membranes fuse with the outer cell membrane, releasing the cytolytic
compounds by exocytosis into the vicinity of the target cell. This
is known as degranulation and is the key event in NK cell cytotoxic
activity. The quantity of CD107a on the NK cell surface thus serves
as a proxy for this degranulation. Here, we measured this surface
expression of CD107a on a cell-by-cell basis using flow cytometry
after 6 h incubation with different stimulating reagents.Initially,
we compared the level of CD107a when pNK cells were
stimulated using NGO-α-hCD16 nanoclusters and soluble antibody.
These experiments were carried out using NGO-α-hCD16 nanoclusters
∼150 nm across and containing ∼120–140 α-hCD16
molecules each across six NK cell donors and two independently prepared
batches of NGO-α-hCD16. As for the earlier binding experiments,
we enabled direct comparison of soluble and NGO-clustered α-hCD16
antibody by using the same overall concentration of antibody in both
cases.Strikingly, NGO-α-hCD16 nanoclusters delivered
a substantial
enhancement in pNK cell activation with average CD107a levels approximately
double those generated by soluble antibody alone (Figure a,b) (p <
0.05). An average of 10.3% of the cells expressed CD107a at the surface
when activated via NGO-α-hCD16 nanoclusters as opposed to only
5.7% by soluble individual antibody molecules. Furthermore, an increase
in CD107a when NGO-α-hCD16 was used with respect to the soluble
antibody value was seen in five out of six donors (Figure c). This is despite the variation
in overall CD107a expression levels that is a natural consequence
of human donor variability.
Figure 4
pNK cell activation is augmented through ligation
using nanoclustered
antibodies in the form of NGO-α-hCD16. (a) Representative flow
cytometry plots of CD107a-stained pNK cells showing response to stimulation
with NGO-templated antibody nanoclusters and control experiments with
soluble antibodies. (b) Quantification of the percentage of CD107a
positive cells as per part a, for both larger (∼150 nm) and
smaller (∼70 nm) NGO-α-hCD16 nanoclusters: mean and standard
deviation across three human donors for each NGO-α-hCD16 batch
(and two separately prepared batches in the ∼150 nm case).
(c) Donor-by-donor comparison of CD107a expression in response to
NGO-α-hCD16 and soluble antibody stimulation. Solid lines couple
results from the same donor. (d) Average fold increase in IFN-γ
secretion above the mouse IgG1 control for pNK cells stimulated with
NGO-mAb nanoclusters (size ∼150 nm) and with soluble α-hCD16:
mean and standard deviation across three human donors. Statistical
significance in panel b is indicated as * p <
0.05 (two-tailed paired parametric t-test), and panel
d * p < 0.05 (two-tailed unpaired parametric t-test). All contour plots are 5%, that is, 20 contour lines.
pNK cell activation is augmented through ligation
using nanoclustered
antibodies in the form of NGO-α-hCD16. (a) Representative flow
cytometry plots of CD107a-stained pNK cells showing response to stimulation
with NGO-templated antibody nanoclusters and control experiments with
soluble antibodies. (b) Quantification of the percentage of CD107a
positive cells as per part a, for both larger (∼150 nm) and
smaller (∼70 nm) NGO-α-hCD16 nanoclusters: mean and standard
deviation across three human donors for each NGO-α-hCD16 batch
(and two separately prepared batches in the ∼150 nm case).
(c) Donor-by-donor comparison of CD107a expression in response to
NGO-α-hCD16 and soluble antibody stimulation. Solid lines couple
results from the same donor. (d) Average fold increase in IFN-γ
secretion above the mouse IgG1 control for pNK cells stimulated with
NGO-mAb nanoclusters (size ∼150 nm) and with soluble α-hCD16:
mean and standard deviation across three human donors. Statistical
significance in panel b is indicated as * p <
0.05 (two-tailed paired parametric t-test), and panel
d * p < 0.05 (two-tailed unpaired parametric t-test). All contour plots are 5%, that is, 20 contour lines.To see if the enhanced activation
would persist across different
nanocluster sizes, we repeated this experiment using substantially
smaller NGO-α-hCD16 nanoclusters with size 72 ± 1119 and 112 ± 3267 molecules per
nanocluster. These enhanced activation of NK cells in three out of
three donors studied with on average 9.0% of cells positive for CD107a
as opposed to only 4.4% with soluble antibody stimulation (Figure a–c, p < 0.05). Although the degree to which activation was
enhanced when these smaller nanoclusters were used was slightly less
than for the larger ∼150 nm nanoclusters, the difference is
not statistically significant. This absence of any substantial change
when the NGO sheet size is varied by a factor of 2 is intriguing.
Arguably, it hints at a threshold nanocluster size to trigger enhanced
NK cell activation that is less than or equal to the size of the smaller
clusters, with relatively little increase in effectiveness when molecules
are clustered further beyond this threshold.Finally it should
be noted that the majority of cytotoxic activity
in physiological NK cell populations is mediated by only a 10–20%
subset of the population that degranulate.[32] Thus, the fact that 10–20% of cells show strong degranulation
in response to NGO-α-hCD16 is sufficient to be of physiological
importance.
Enhanced Cytokine (IFN-γ) Secretion by NGO-Templated Nanoclustering
of α-hCD16
In addition to killing target cells directly,
activated NK cells also secrete cytokines to impact other immune responses.
In particular, activated NK cells are a predominant source of the
cytokine IFN-γ, whose functions include enhancing the T cell
and macrophage mediated inflammatory response. Cytokine secretion
can be uncoupled from cytolytic degranulation, as evidenced by different
subsets of NK cells being especially proficient in these different
effector functions, and thus we set out to determine whether or not
this immune cell effector function is also enhanced by NGO-templated
nanoclustering of cell-stimulating molecules.For cytokine secretion
measurements, we once again stimulated pNK cells using NGO-α-hCD16
nanoclusters. Here, we measured the secretion of IFN-γ from
pre-existing cell stores by supernatant ELISA following 6 h cell stimulation
in the presence of monensin and brefeldin A.[33,34] Stimulation by individual α-hCD16 antibody molecules did not
produce any increase in secreted IFN-γ with respect to unstimulated
cells. In contrast, NGO-α-hCD16 stimulation increased IFN-γ
secretion, an average 2.7-fold increase over background levels (Figure d) (average of three
donors, p < 0.05). This directly demonstrates
that NGO-templated nanoclustering of stimulating molecules enhances
cytokine secretion via the CD16 receptor: a further indicator of the
power of this technology, independent of the degranulation results
above. To confirm that the increase in IFN-γ secretion was due
to stimulation of the CD16 receptor and not the NGO construct itself,
a control sample of NGO-α-mIgG1 was simultaneously tested and
this did not trigger any IFN-γ secretion greater than nonstimulated
cells.In recent years, advances in microscopy and cell biology
have increasingly
revealed nanoscale molecular clusters as key signaling structures
which impact immune cell function and development. Delivering clinical
value from this insight is dependent on the creation of nanomaterials
that can directly manipulate or interact with these nanostructures
to a clinical purpose. The present study introduces NGO-templated
molecular nanoclusters as a clear candidate, developing NGO-templated
biomolecular nanostructures as biomimetic nanoclusters to trigger
(or modulate) cellular activation. Notably, this has enabled the development
of a new soluble reagent that activates of NK cells in isolation without
requiring binding to a target surface. This opens up a significant
new concept in the development of NK cell immunomodulatory therapeutics,
as well as a new application class for graphene-based bionanomaterials.
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