Antigen recognition is a key event during T cell activation. Here, we introduce nanopatterned antigen arrays that mimic the antigen presenting cell surface during T cell activation. The assessment of activation related events revealed the requirement of a minimal density of 90-140 stimulating major histocompatibility complex class II proteins (pMHC) molecules per μm(2). We demonstrate that these substrates induce T cell responses in a pMHC dose-dependent manner and that the number of presented pMHCs dominates over local pMHC density.
Antigen recognition is a key event during T cell activation. Here, we introduce nanopatterned antigen arrays that mimic the antigen presenting cell surface during T cell activation. The assessment of activation related events revealed the requirement of a minimal density of 90-140 stimulating major histocompatibility complex class II proteins (pMHC) molecules per μm(2). We demonstrate that these substrates induce T cell responses in a pMHC dose-dependent manner and that the number of presented pMHCs dominates over local pMHC density.
A main task of the immune system
is the recognition and elimination of pathogens. CD4+ helper
T cells are among the most prominent organizers in the adaptive phase
of this multilayered defense system. In vivo, helper T cells constantly
search for agonist peptides displayed by major histocompatibility
class II proteins (pMHC) on the surface of antigen presenting cells
(APCs) based on chemokine signals, confinement, and adhesion.[1] T cell receptor- (TCR) pMHC bonds and integrin-mediated
adhesions between T cell and APC are initially organized in multiple
small microclusters.[2−7] TCR microclusters translocate to the center of the contact area
over time, thereby forming a temporary, highly structured cell–cell
contact area termed immunological synapse (IS).[8,9] Signaling
in microclusters is crucial and impacts the downstream outcomes of
T cell activation including up-regulation of activation markers on
the cell surface, cell proliferation, differentiation, and induction
of cytokine secretion.[8]A mature
IS consists of well-defined ring-like structures with
a micrometer scale bull’s eye-like appearance. The innermost
region of the IS is defined as the central supramolecular activation
cluster (cSMAC) and is surrounded by the concentric peripheral supramolecular
activation cluster (pSMAC).[10,11] While TCR microclusters
are active signaling sites, the cSMAC can be subdivided into a signaling
domain enriched in CD28 and protein kinase C-θ and a TCR-rich
zone in which signaling becomes terminated.[12,13] The pSMAC plays a role in the stabilization of the IS structure
through adhesion molecules—for example, integrin lymphocyte
function antigen-1 (LFA-1) and its counterpart intercellular adhesion
molecule-1 (ICAM-1)—allowing the passage of newly formed TCR
microclusters toward the cSMAC.[10,14] However, this description
portrays a “model” synapse. The IS is dynamic, and a
variety of patterns and stages of receptor clustering have been observed.[8,15] For example, multifocal T cell-dendritic cell synapses lack the
bull’s eye patterning but have many similarities to the SMAC
model.[16] Regardless, a stable IS contributes
to efficient killing by cytotoxic T cells and is critical for formation
of memory T cells.[17,18]The appearance of TCR microclusters
correlates with early activation
events such as the elevation of the intracellular calcium (Ca2+) level and polarization of the microtubule-organizing center
(MTOC).[4,19] Microclusters are sites of recruitment of
ZAP-70 and phosphorylated substrates including SH2 domains containing
leukocyte protein SLP-76 and linker of activated T cells (LAT), that
are central to TCR signaling.[4,20] These findings have
led to the conclusion that microclusters, rather than larger features
of the IS, are essential to signaling activity and seem to mediate
both initial as well as sustained TCR signaling.[8,12,21] Despite the likely importance of pMHC preclustering
and the stoichiometric arrangement of clusters previously documented
on APCs,[22,23] the exact structural requirements for TCR
triggering and how nanoscale events are translated into IS formation
and T cell activation remain unclear.T cells are highly sensitive
to pMHC on the surface of APCs. It
has been demonstrated that Ca2+ mobilization can be transiently
mediated by contact of T cells with a single pMHC molecule on an APC
and that full IS formation can be achieved with only 10 pMHC molecules.[24] Activation studies with soluble pMHC heterodimers,
consisting of an agonist and an endogenous (self) peptide, proposed
that the high sensitivity in vivo could be accomplished by formation
of such pseudodimers. In this model the CD4 coreceptor forms a bridge
between TCR-pMHC pairs, one pMHC being loaded with self-peptide.[25] Some support for this hypothesis was obtained
using soluble dimers featuring distinct nanoscale spacers between
the two MHC molecules, revealing an effect of receptor proximity.
pMHC molecules linked through shorter cross-linkers showed higher
potential to activate T cells.[26] However,
soluble dimers lack the ability to transmit forces from the TCR that
are thought to be critical for physiological T cell triggering and
thus provide limited insight into events within the IS.[27,28]Artificial APCs have been commonly used to study the impact
of
pMHC organization on T cell response. For instance, fluid-supported
planar bilayers presenting mobile ligands have been applied to mimic
the membrane conditions of an APC surface.[29] These have considerably contributed to the understanding of the
molecular IS organization but are restricted in their control over
molecular densities. To overcome this limitation and control diffusion
of mobile pMHC molecules, lipid bilayers have been combined with electron
beam lithography.[30] This approach established
that 1–4 agonist pMHC molecules can trigger TCR signaling in
the absence of endogenous pMHC.[12,31,32] Comparably, lithographic methods of patterning activation sites
consisting of anti-CD3 surrounded by adhesive ICAM-1 on solid substrates
can provide control of micrometer-scale IS organization.[33] A similar approach, which, in addition, included
the use of anti-CD28 at the activating sites, established that T cells
are sensitive to the micrometer-scale arrangement of costimulatory
signals.[34] However, such lithographic methods
also failed to provide insight into the nanoscale organization of
the molecules involved.Nanopatterned biointerfaces can be used
for a precise control of
both number and nanoscaled spatial arrangement of APC surface molecules.
Such artificial cell presentation platforms allow for the site-specific
directed immobilization of proteins at the molecular length scale,[35] and recently, even three-dimensional nanostructured
water-in-oil droplets for homing T cells were reported.[36] Furthermore, these systems are scalable and
sufficiently stable for clinical applications, such as controlled
stimulation and expansion of T cells ex vivo.[37]In the system that we present, proteins of interest are immobilized
directly on nanoscaled gold (Au) particles, which are arranged in
hexagonal patterns on glass coverslips. The particle size is such
that in average either one or two proteins are selectively bound per
Au particle (for details see SI). The particle
spacing, that is, the lateral distance between two adjacent Au particles,
can be varied from 15 to 300 nm.[38] This
strategy prevents ligand mobility and allows for regulation of the
number and nanoscale distribution of proteins that impact TCR triggering
and other aspects of T cell activation. For stimulation experiments
we used the well-characterized antigen-specific AND-TCR transgenic
system in mouse CD4+ T cells[39] (see SI for further details) and primarily
focused on regulating the number and nanoscale arrangement of MHC-II
molecules loaded with the specific peptide. We monitored both early
and late responses by assessing cell spreading, MTOC polarization
and cytokine secretion of T cells in contact with the nanopatterned
substrates. We demonstrate here that T cells require a certain density
of continuously nanopatterned pMHC molecules for spreading to occur.
Only when this pMHC density threshold was met did T cells adhere to
nanopatterned substrates, exhibiting MTOC polarization and interleukin-2
(IL-2) secretion. However, when cells were confronted with the same
density of pMHC but arranged within confined and spatially separated
micrometer scaled domains, they failed to attach and to secrete IL-2.
T cell responses were restored; then the density of pMHC in the microstructures
was increased to present a similar overall amount of pMHC as presented
by an effective continuous nanopattern. These results strongly suggest
the existence of a global pMHC density threshold, below which the
initial steps of T cell activation do not occur.Substrates
were biofunctionalized with pMHC molecules following
a spatial arrangement, local density, and orientation that are presumed
to have a major impact on T cell activation. To this end, we applied
block-copolymer micelle nanolithography (BCML) to fabricate surfaces
patterned with arrays of quasi-hexagonally arranged Au nanoparticles.
BCML is based on the self-assembly of polymeric micelles around Au
cores. The Au-loaded micelles are deposited on solid substrates via
dip- or spincoating. In a second step, the polymer shell is removed
using oxygen plasma to produce an extensive centimeter-scaled nanopatterned
array of Au-nanoparticles on a support surface (see Figure 1a, SI and Figure S1a and b).[35,40] We generated patterns with interparticle
distances ranging from 30 to 300 nm by using diblock copolymers of
different molecular weight. The resulting Au nanoparticles serve as
anchor points for the site-specific attachment of linker molecules
to which the proteins of interest can be conjugated. For this purpose
we chose linker reagents that contain nitrilotriacetic acid–nickel
(NTA–Ni) complexes and thiol functionalities. NTA–Ni2+ serves as anchor for any protein with a terminal poly histidine
(His) tag.[41,42] To biofunctionalize the glass
support surface, the space between the Au nanoparticles was filled
with a poly ethylene glycol (PEG) layer (PEG couples covalently to
glass through a silane group) prior to protein binding to reduce unspecific
protein and cell substrate interaction to a minimum.[43] In addition to the highly regular nanopattern of Au particles,
we generated a micropattern consisting of nanopatterned domains surrounded
by nonadhesive (unpatterned) areas (Figure 1b). A two-step process that included BCLM followed by photolithography
was used to fabricate these micronanopatterned substrates (see Figure S1c).[41]
Figure 1
Scanning electron
microscopy image of (a) an extensive continuous
Au nanopattern and (b) a micronanopattern; (c) fluorescent microscopy
image of pMHC labeled with a fluorescent Atto-655 dye and specifically
immobilized on a micronanopattern; (d) fluorescent microscopy image
of the border between a functionalized Au-patterned and a nonpatterned
area; fluorescently labeled pMHC only binds to the area with embedded
Au particles (bottom bright side).
Scanning electron
microscopy image of (a) an extensive continuous
Au nanopattern and (b) a micronanopattern; (c) fluorescent microscopy
image of pMHC labeled with a fluorescent Atto-655 dye and specifically
immobilized on a micronanopattern; (d) fluorescent microscopy image
of the border between a functionalized Au-patterned and a nonpatterned
area; fluorescently labeled pMHC only binds to the area with embedded
Au particles (bottom bright side).We successfully demonstrated the site-specificity of protein
attachment
to the Au nanoparticles by immobilizing pMHC fluorescently labeled
with [moth cytochrome C 88-103 (MCC)–Alexa Fluor 568/Atto 655]-IEk-2xHis6. Micronanopatterned substrates with attached
fluorescent pMHC were visualized using fluorescence microscopy and
showed a regular pattern of large bright polka dots (consisting of
very small fluorescent spots), surrounded by a dark background, consisting
of PEG, with practically no proteins bound to it (see Figure 1c). Although the resolution of conventional fluorescence
microscopy is limited to the visualization of the photolithographic
microstructure and therefore does not allow for the discernment of
the underlying nanopattern, specific binding to Au particles was observed
and served as a functional assay.Bulk measurements of fluorescently
labeled pMHC allowed for the
calculation of the average protein/particle ratio, which was found
to be 1.6 ± 0.4 molecules per particle (for details see SI and Figure S2).To assess the sensitivity
of effector cells to the generated antigen
arrays, both early and late T cell activation events were monitored.
We focused our investigation on the following three phases of T cell
response: (i) cell spreading, (ii) MTOC polarization, and (iii) IL-2
secretion. With this set of read-out parameters we were able to assess
the ability of nanopatterns to function as APC surrogates and to investigate
the effect of local and global pMHC distribution on different stages
of T cell activation.To assess T cell spreading, primary mouse
CD4+ T cell
blasts were allowed to settle for 45 min on the pMHC-functionalized
nanopatterned antigen arrays. This time point was chosen based on
our experimental observations that the highest fraction of T cells
was adherent at 15–90 min (see SI for further details) and based on previous studies which report
T cell-APC adhesion to occur shortly after antigen detection and persisting
up to several hours.[44] Hence, data acquisition
at 45 min guarantees a high probability for generation of reproducible
results. Reflection interference contrast microscopy (RICM) images
(Figure 2a and b) show adherent cells as extended
dark patches next to nonadherent cells (bright patches). Figure 2b shows T cells in contact with a nanopatterned
and unpatterned part of the substrate. The unpatterned part of the
surface (left side) lacks Au particles, and subsequently pMHC molecules,
thus not allowing T cells to spread, whereas the nanopatterned part
of the surface (right side) with Au particles and biofunctionalized
with pMHC allows cells to adhere. Figure 2b
shows that T cells selectively adhere to the pMHC-functionalized nanostructured
area and that nonstructured areas are sufficiently passivated so that
cells are unable to induce spreading and adhesion. MTOC polarization
was accessed by immunofluorescence labeling and confocal imaging of
α-tubulin near the center of the T cell-substrate interface
and served as a visual marker for early T cell activation. As shown
in Figure 2c, T cells seeded on a nanopatterned
substrate were able to polarize, indicating an early stimulation of
the T cell. We found that cell spreading and MTOC polarization were
induced in T cells cultured on pMHC-functionalized nanopatterned surfaces
featuring distances up to 150 nm, similarly to what was observed using
glass surfaces entirely coated with pMHC (positive control). In contrast,
the use of pure glass surfaces or passivated PEG surfaces, both lacking
pMHC, did not result in early activation related events; see Table 1. This indicates that the presence of pMHC alone
is sufficient for initiating adhesion and spreading of T cells using
the system described in this study.
Figure 2
T cells on pMHC-presenting nanopatterned
surfaces (spacing: 64
± 9 nm) 45 min after seeding: (a) RICM image of adherent (dark,
black arrows) and nonadherent (bright, white arrows) T cells; (b)
nonadherent T cells on an unpatterned area (left) and adherent T cells
on a nanopatterned and pMHC-functionalized area (right). The two regions
are divided by the dipping edge—where an uncontrolled assembly
of nanoparticles is common—a characteristic of the fabrication
process. The gray arrow indicates a cell adhering to the dipping edge.
Note: Figure 2b consists of two separate images
since, due to the high magnification (63×), it was not possible
to capture both sides of the dipping edge within one image. (c) Fluorescent
image of polarized α-tubulin in T cells seeded on a nanopatterned
surface.
Table 1
Successful (checkmarks)
and Unsuccessful
(×’s) Adhesion and Centrosome Polarization on Different
Surfacesa
Glass = random coating; nano
= nanopattern.
T cells on pMHC-presenting nanopatterned
surfaces (spacing: 64
± 9 nm) 45 min after seeding: (a) RICM image of adherent (dark,
black arrows) and nonadherent (bright, white arrows) T cells; (b)
nonadherent T cells on an unpatterned area (left) and adherent T cells
on a nanopatterned and pMHC-functionalized area (right). The two regions
are divided by the dipping edge—where an uncontrolled assembly
of nanoparticles is common—a characteristic of the fabrication
process. The gray arrow indicates a cell adhering to the dipping edge.
Note: Figure 2b consists of two separate images
since, due to the high magnification (63×), it was not possible
to capture both sides of the dipping edge within one image. (c) Fluorescent
image of polarized α-tubulin in T cells seeded on a nanopatterned
surface.Glass = random coating; nano
= nanopattern.To quantify
the effect of the pMHC particle spacing on T cell spreading,
we measured the contact area of cells that were seeded and spread
on different surfaces (see Figure 3a, light
gray bars) as well as the percentage of adherent cells in relation
to the overall cell input (see Figure 3a, dark
gray bars). A significant decrease in the average contact area was
observed for T cells seeded on substrates with distances greater than
150 nm between the protein anchorage points. Even more significant
was the decrease of the number of cells that spread. We found that
most cells failed to adhere on nanopatterned surfaces with spacing
greater than 150 nm (see Figure 3a, dark gray
bars). The percentage of adherent T cells was highest (approximately
60%) on nanopatterned surfaces featuring a shorter interparticle distance
(30–80 nm). The number of adherent cells continuously decreased,
down to only 10% of T cells cultured on surfaces featuring particle
spacing of 250–300 nm (see also error discussion in SI). Plotting adhesion versus particle density
further emphasizes the rapid quasi-linear increase in percentage of
adhesion as densities approach 100 particles per μm (Figure 3b). Saturation of cell adhesion was observed for
higher particle densities. These data indicate the requirement of
a minimal density of pMHC molecules for initiation of T cell adhesion
and spreading.
Figure 3
(a) Mean cell contact area (light gray bars) and percentage
of
adherent T cells (dark gray bars) after (45 ± 15) min of cell–substrate
contact. Nanopatterns featuring different interparticle spacings and
a positive control, which was a glass surface entirely coated with
pMHC, were also included. Spreading was not observed on negative control
(PEG) surfaces. Stars in part a indicate very significant differences
of mean values according to Welch’s t-test:
∗p < 0.0001; n > 100
spread
cells for each mean value, except for cells on surfaces with particle
distances greater than 150 nm (due to very low cell adhesion numbers).
(b) Percentage of adherent cells (data presented as in a) plotted
as a function of particle density. In both graphs (a and b) y-error bars correspond to the standard error of the mean, x-error bars in b correspond to the error of the single
value (also see error discussion in the SI).
(a) Mean cell contact area (light gray bars) and percentage
of
adherent T cells (dark gray bars) after (45 ± 15) min of cell–substrate
contact. Nanopatterns featuring different interparticle spacings and
a positive control, which was a glass surface entirely coated with
pMHC, were also included. Spreading was not observed on negative control
(PEG) surfaces. Stars in part a indicate very significant differences
of mean values according to Welch’s t-test:
∗p < 0.0001; n > 100
spread
cells for each mean value, except for cells on surfaces with particle
distances greater than 150 nm (due to very low cell adhesion numbers).
(b) Percentage of adherent cells (data presented as in a) plotted
as a function of particle density. In both graphs (a and b) y-error bars correspond to the standard error of the mean, x-error bars in b correspond to the error of the single
value (also see error discussion in the SI).To assess whether the nanopatterned
substrates supported T cell
activation long-term, we monitored the amount of IL-2 secreted by
T cells activated on these substrates 24 h after the cells were seeded.
In Figure 4a the index of activation, Iactivation, is shown as a function
of the particle spacing. Iactivation corresponds
to the amount of IL-2 (XIL2) secreted by approximately
1.5 × 105 cells 24 ± 1 h after cells were seeded
on the individual surfaces related to the amount of IL-2 (Xcontrol) secreted by the same number of cells
on positive control surfaces entirely coated with pMHC during the
same experimental time: Iactivation = XIL2/Xcontrol. Surfaces
entirely covered with bioinert PEG layer, which is known to prevent
any cellular interaction, were used a negative control (“PEG”).
A second positive control (“0” spacing) consisted of
a surface fully covered with Au and functionalized with pMHC, similar
to substrates routinely used for T cell activation. No significant
difference was observed in IL-2 secretion of cells seeded on adsorption-based
pMHC-coated glass surfaces versus cells on Au-coated surfaces functionalized
with NTA-Ni2+-pMHC (see Figure 4a). We therefore conclude that, at high pMHC densities, the immobilization
strategy does not impact IL-2 secretion. As expected, the highest
values of Iactivation were obtained for
cells seeded on pMHC surfaces (positive control), whereas the lowest
values were observed for cells on PEG surfaces (negative control).
Figure 4b shows only the mean values for Iactivation obtained on nanopatterns as a function
of particle spacing. T cells seeded on nanostructures showed a quasi-linear
decrease of IL-2 secretion with increasing particle distance. However,
as represented in Figure 4c, which shows the Iactivation plotted as a function of particles
per μm2, we observed a collapse of IL-2 secretion
under conditions of particle density below, and a constant IL-2 secretion
above this threshold particle density of approximately 100 particles
per μm2. At a particle density below 100 particles
per μm2 IL-2 secretion was shown to depend linearly
on the particle density. Figure 4d shows a
selective enlargement of this quasi-linear section of the plot in
Figure 4c (for further discussion see below).
Figure 4
Index
of activation (IL-2 secretion) of T cells seeded on different
surfaces plotted against the distance between pMHC-ligands (a and
b) or global particle density (c and d). (a) Individual measurements
and mean values of the activation rate (Iactivation) as a function of particle spacing. Data obtained using cells seeded
on PEG-coated surfaces (negative control, processed identically with
the same linker and protein solutions as for the nanopatterned surfaces)
is presented on the right side of the graph, whereas data for cells
seeded on continuously pMHC-coated surfaces (positive control) are
shown on the left side of the graph. Substrates with “0”
particle distance (second positive control) were produced using surfaces
entirely coated with Au. (b) Representation of mean values only, obtained
using the different nanopatterned surfaces (also represented in a).
Stars in b indicate significant differences of mean values according
to Welch’s t-test: ∗p = 0.045; ∗∗p = 0.012; ∗∗∗p = 0.005. (c) Mean values of the index of activation of
cells cultured on nanopatterned (black data points, see a) and micronanopatterned
(red data points, n = 4 for each data point) as a
function of global particle density. (d) Selective enlargement of
the linear section of plot (c). For each data point in c and d the
amount of IL-2 secreted by T cells on the negative control surfaces
was set as the background value and subtracted from the IL-2 values
measured for each nanopatterned substrate. The y-error
bars in all graphs correspond to the standard error of the mean, x-error bars to the standard deviation of the single value.
In (c) and (d) Gaussian error propagation was additionally applied
to determine deviations of particle densities and background-corrected
index of activation (see also error discussion in SI).
Index
of activation (IL-2 secretion) of T cells seeded on different
surfaces plotted against the distance between pMHC-ligands (a and
b) or global particle density (c and d). (a) Individual measurements
and mean values of the activation rate (Iactivation) as a function of particle spacing. Data obtained using cells seeded
on PEG-coated surfaces (negative control, processed identically with
the same linker and protein solutions as for the nanopatterned surfaces)
is presented on the right side of the graph, whereas data for cells
seeded on continuously pMHC-coated surfaces (positive control) are
shown on the left side of the graph. Substrates with “0”
particle distance (second positive control) were produced using surfaces
entirely coated with Au. (b) Representation of mean values only, obtained
using the different nanopatterned surfaces (also represented in a).
Stars in b indicate significant differences of mean values according
to Welch’s t-test: ∗p = 0.045; ∗∗p = 0.012; ∗∗∗p = 0.005. (c) Mean values of the index of activation of
cells cultured on nanopatterned (black data points, see a) and micronanopatterned
(red data points, n = 4 for each data point) as a
function of global particle density. (d) Selective enlargement of
the linear section of plot (c). For each data point in c and d the
amount of IL-2 secreted by T cells on the negative control surfaces
was set as the background value and subtracted from the IL-2 values
measured for each nanopatterned substrate. The y-error
bars in all graphs correspond to the standard error of the mean, x-error bars to the standard deviation of the single value.
In (c) and (d) Gaussian error propagation was additionally applied
to determine deviations of particle densities and background-corrected
index of activation (see also error discussion in SI).Importantly, the response
of the T cells to the continuous nanopatterned
pMHC could reflect either the requirement for a certain number of
pMHC molecules in the contact area or a critical distance between
pMHC molecules. To further test these hypotheses, we compared the
effect of local versus global particle density on T cell response.
Continuous nanoparticle arrays, as shown in Figure 1a, have identical local and global particle densities. In
contrast, micronanopatterned particles, as shown in Figure 1b, can be prepared with the same local density,
but lower global densities. Conversely, micronanopatterned surfaces
with the same global particle density as continuous nanopatterned
surfaces feature much more densely arranged particles within their
microdomains (see Table 2).
Table 2
Features of Micronanopatterns
Dimensions of Micronanopatterns
diameter
of microdomains (D, μm)
D = 1.5
D = 1.5
D = 1.5
D = 1.5
microdomain
grid spacing (d, μm)
d = 3
d = 5
d = 3
d = 5
interparticle distance (nm)
70 ± 10
70 ± 10
110 ± 15
110 ± 15
local particle density
in
microdomain (particles/μm2)
236 ± 67
236 ± 67
95 ± 26
95 ± 26
global particle density (particles/μm2)
46 ± 15
17 ± 5
19 ± 6
7 ± 2
particle spacing of extended
nanopattern with the respective global particle density (nm)
158
261
247
406
We prepared four micronanopatterned
surfaces with a global particle
density between 7 and 46 particles per μm2. The local
particle density values (within the microdomains) were chosen based
on particle density values that cause spreading, MTOC polarization,
and IL-2 secretion on continuous nanopatterned surfaces. However,
the global particle density of micronanopatterned surfaces was in
the range where adhesion and spreading on continuous nanopatterned
pMHC was reduced or prevented (see Table 2).
Using this strategy we were able to discern whether spatially confined
activating islands are sufficient to induce T cell adhesion, spreading,
and IL-2 production or whether the overall availability of pMHC is
the critical parameter for T cell stimulation.T cells seeded
on micronanopatterned substrates showed less adhesion
(10–18%) and MTOC polarization than cells seeded on extended
nanopatterns exhibiting a similar spacing between particles as the
micronanopatterns. Accordingly, IL-2 secretion of cells seeded on
micronanopatterns was very low (see red stars in Figure 4c and enlargement in Figure 4d). Secreted
IL-2 levels were in the range of those of cells cultured on surfaces
with extended patterns with a much less dense nanopattern (larger
spacing) but identical global particle density. Nevertheless, a slight
increase of IL-2 secretion was observed when using micronanopatterned
substrates as compared with extended nanopattern substrates (see Figure 4d). Therefore, our data suggest that activation
of T cells is predominantly regulated by the global pMHC concentration
and depends on the local spacing of the pMHC pattern only as a higher
order effect. A possible explanation for this finding could be that
IS formation is critically dependent on cell spreading. Above the
particle spacing threshold of approximately 150 nm it becomes unlikely
that T cells encounter sufficient anchor points to initiate microcluster
formation spreading, and thus, subsequent signaling that would result
in a productive T cell response fails. Since the proximity of pMHC
molecules supports microcluster formation,[26] we assume that particle spacing also plays a key role. However,
in our system such a distance effect of pMHC molecules is only detectable
as a secondary effect. For T cell activation by an artificial APC
system lacking any additional adhesive ligands the essential requirement
seems to be that microcluster formation is not restricted to certain
areas but can occur over the entire cell-artificial APC contact area.
Only in such cases T cells can successfully spread and adhere. Nevertheless,
we observe slightly increased Iactivation values within the linear transition regime for cells seeded on micronanopatterns
and assume that this effect is due to ligand proximity. Probably,
although the global particle density on micronanopatterns is very
low, cells are able to form microclusters within the microdomains,
however in most cases not in a sufficient extent to initiate adhesion.
In contrast, on extensive nanopatterns, featuring global particle
densities in the same regime, TCR assembly fully fails due to the
high spacing/low density of pMHC molecules. We speculate that the
quasi-proportional increase of Iactivation with density of pMHC in the transition regime is due to an increasing
probability of successful microcluster formation with subsequent adhesion
and IL-2 secretion of an individual T cell. Averaged over a high cell
number, the development of Iactivation results in such a linear behavior. However, at the same time, these
data cannot exclude that each cell may act as a digital antigen counter
system that needs to detect a certain number of pMHC molecules to
initiate activation pathways.We demonstrate that the biocompatible
nanopatterned antigen arrays
generated in this study can be used to modulate the degree of T cell
activation by controlling the number and spatial arrangement of TCR
ligands on the substrate. Once seeded on these substrates, following
TCR triggering, T cells adhered, polarized the MTOC, and secreted
IL-2. For cell spreading to be initiated, T cells require a minimum
particle density of approximately 100 particles per μm2, which corresponds to a particle spacing of approximately 115 nm.
At greater particle distances (especially above 150 nm) spreading
and IL-2 secretion are strongly reduced. As shown in Figures 3b and 4c, at particle density
values up to approximately 100 particles per μm2,
both cell spreading and IL-2 secretion show a linear increase with
increasing density (decreasing particle distance). At higher particle
densities (distances below 150 nm), both cell spreading and IL-2 secretion
levels reach a plateau. In our system the T cell activation effects
we have shown seem to be predominantly regulated by the particle density
and not the interparticle spacing. On nanopatterns of hexagonally
arranged particles a particle distance of 150 nm is equivalent to
a particle density of 70 per μm2. Assuming an average
particle occupation of 1.6 ± 0.4 (for details see SI), the pMHC density on these substrates corresponds
to 112 ± 28 pMHC molecules per μm2. Hence, the
threshold for adhesion and IL-2 production is approximately at 90–140
molecules per μm2, indicated by a collapse of the
cell response when pMHC molecules are more scattered, and therefore,
fewer molecules are available for cells to attach to.By comparing
local with global particle density of extended and
micronanopattern surfaces, we found that events related to T cell
activation such as spreading and IL-2 secretion are determined by
the entire number of pMHCs available to the T cells, rather than the
peak density in subregions corresponding in size to SMACs. The critical
TCR ligand density found in this study is significantly higher than
the previously reported low pMHC thresholds, some of which were determined
to be in the one digit range.[24,32] However, in contrast
to previous reports where T cell activation was achieved using real
APCs or lipid bilayers presenting ICAM-1 together with pMHC, our purely
pMHC-based approach did not provide costimulation or adhesive support.
Nevertheless, the substrates used in the study were capable of stimulating
effector T cells through sole exposure to pMHC. Provided that the
global pMHC density is high enough, T cell blasts can adhere and produce
IL-2 without the presence of additional adhesive or costimulatory
molecules. We assume that pMHC/TCR microclusters are able, up to a
certain extent, to take on the role of adhesive molecular bonds. In
this case, however, a locally confined high pMHC density is insufficient
for T cell adhesion, spreading and activation. Instead, T cells require
a global pMHC density to overcome barriers for cell spreading. Once
spreading is initiated, further signaling induces cytokine secretion.
It has been previously observed that surfaces uniformly coated with
anti-CD3 induce microclustering of TCR.[45] This clustering may facilitate adhesion and spreading in the absence
of adhesion molecules. Prior studies on LFA-1 deficient mice suggest
that LFA-1 increases the sensitivity of the T cell to antigen up to
100-fold.[46] Therefore, we speculate that
adhesive molecules play an important role during the process of T
cell activation only when the global pMHC density is below 112 ±
28 molecules per μm2. Most probably, on substrates
where pMHC molecules are more scattered than this threshold range,
pMHCs are unable to compensate for the absence of adhesive molecules.
We speculate that under such conditions the presence of adhesive ligands
is pivotal and supports TCR clustering and signaling resulting in
further activation events such as cytokine secretion. In contrast,
on substrates with a sufficient pMHC density, additional costimulatory
and adhesion-mediating molecules may function only as signal amplifier
and may not be a crucial requirement. So far, several studies titrated
pMHC and measured adhesion, but generally the density of pMHC was
not reported.[47,48] Immobile pMHC in supported planar
bilayers were shown to mediate adhesion of T cell hybridomas at 1000
molecules/μm2, but not 50 molecules/μm2,[49] which is consistent with our
current studies. Establishing the quantitative requirements for providing
a TCR-only signal through nanopatterning may provide the possibility
to generate substrates that could be used to induce antigen-specific
T cell tolerance.[50] The determination of
rupture forces between T cell-APC conjugates has already revealed
that the development of adhesion forces correlates with the dynamics
of IS formation.[51,52] Future studies could therefore
further address the presence and development of adhesion forces between
the T cell and the substrate to better understand the role of pMHC-TCR
complexes in adhesion and spreading, since both are required for a
successful activation of T cells.In conclusion, to better investigate
the complex process of T cell
activation, we introduce an approach, already successfully applied
in other biological studies,[53,54] to the field of immunology:
nanopatterned substrates. By comparing local and global pMHC densities
we showed that local pMHC clustering is not of predominant importance
for T cell activation but does have an influence on higher order effects.
Furthermore, a global pMHC density of approximately 112 ± 28
molecules per μm2 was identified as a threshold for
T cell activation when based only on pMHC.
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