Alice Comberlato1, Marianna M Koga1, Simone Nüssing2,3, Ian A Parish2,3, Maartje M C Bastings1,4. 1. Programmable Biomaterials Laboratory, Institute of Materials, School of Engineering, Ecole Polytechnique Fédérale Lausanne, Lausanne 1015, Switzerland. 2. Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia. 3. Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria 3052, Australia. 4. Interfaculty Bioengineering Institute, School of Engineering, Ecole Polytechnique Fédérale Lausanne, Lausanne 1015, Switzerland.
Abstract
First evidence of geometrical patterns and defined distances of biomolecules as fundamental parameters to regulate receptor binding and cell signaling have emerged recently. Here, we demonstrate the importance of controlled nanospacing of immunostimulatory agents for the activation of immune cells by exploiting DNA-based nanomaterials and pre-existing crystallography data. We created DNA origami nanoparticles that present CpG-motifs in rationally designed spatial patterns to activate Toll-like Receptor 9 in RAW 264.7 macrophages. We demonstrated that stronger immune activation is achieved when active molecules are positioned at the distance of 7 nm, matching the active dimer structure of the receptor. Moreover, we show how the introduction of linkers between particle and ligand can influence the spatial tolerance of binding. These findings are fundamental for a fine-tuned manipulation of the immune system, considering the importance of spatially controlled presentation of therapeutics to increase efficacy and specificity of immune-modulating nanomaterials where multivalent binding is involved.
First evidence of geometrical patterns and defined distances of biomolecules as fundamental parameters to regulate receptor binding and cell signaling have emerged recently. Here, we demonstrate the importance of controlled nanospacing of immunostimulatory agents for the activation of immune cells by exploiting DNA-based nanomaterials and pre-existing crystallography data. We created DNA origami nanoparticles that present CpG-motifs in rationally designed spatial patterns to activate Toll-like Receptor 9 in RAW 264.7 macrophages. We demonstrated that stronger immune activation is achieved when active molecules are positioned at the distance of 7 nm, matching the active dimer structure of the receptor. Moreover, we show how the introduction of linkers between particle and ligand can influence the spatial tolerance of binding. These findings are fundamental for a fine-tuned manipulation of the immune system, considering the importance of spatially controlled presentation of therapeutics to increase efficacy and specificity of immune-modulating nanomaterials where multivalent binding is involved.
Ligand–receptor
interactions are at the base of all biological
processes, both in health and in disease.[1] Their binding on the cell surface is defined not only by the type
of molecules interacting but also by their interligand distances.[2] This is in particular the case for immune cells,
as the immune system developed to recognize the symmetric geometry
of pathogen structures. Even for basic cell regulation, spatial patterns
of membrane receptors have emerged as a fundamental feature for optimal
signaling activation, as in the example of the immunological synapse.[3]The advent of DNA nanotechnology has allowed
the discovery of new
insights on ligand spatial organization and its influence on immune
activation.[4] DNA nanomaterials offer an
unprecedented control at the nanoscale level on the surface chemistry
of nanoparticles (NPs) to create patterns of ligands with defined
composition, number, and distance.[5,6] As such, DNA
origami structures have been employed to probe the influence of patterns
and spacing on the minimal signaling unit for T-cell receptor activation[7] and on the signaling cross-talk of its coreceptors[8] and to investigate the impact of antigen valency
in B-cell receptor activation.[9] Recently,
patterns on DNA nanomaterials have been shown to be transferable to
cell surface receptors and as such to regulate apoptosis.[10]Additionally, the expansion in crystallography
data of biomolecules
and proteins has paved the way for extremely fine-tuned material design.
Extrapolating intra- and interligand distances from crystallography
data narrows down the range of spatial patterns that need to be tested.
In this way, a general screening strategy with multiple DNA structures
with unlimited combinations of ligand spacing and valency can be substituted
with a rationally designed restricted library to find the most potent
binding patterns. Moreover, it allows the investigation of the spatial
tolerance of binding for ligand–receptor systems at the nanoscale
level. For example, Shaw et al. have exploited antibody X-ray crystallography
data and DNA origami with patterns of antigens in a limited range
of distances to investigate epitope–antibody bivalent binding.[11] They have not only reported the optimal distance
for binding, but they have also highlighted significant differences
in spatial tolerance between IgM and IgG and between low- and high-affinity
antibodies.However, the relevance of spatial organization remains
unexplored
or understudied for many biological targets. DNA-based NPs have been
used as carriers for immunostimulatory agents (e.g., adjuvants) for
vaccination in preclinical models, but the focus has remained limited
to general drug delivery.[12−14] These previous studies have not
taken full advantage of the unique DNA functionalization potential
and knowledge of crystallography data on targeted receptors to understand
the relation between spatially defined ligand presentation and cellular
activation intensity.The activation of Pattern Recognition
Receptors (PRRs) by adjuvants
on antigen-presenting cells (APCs) is the first key step in vaccination
to potentiate the magnitude and quality of the immune response against
the target antigen.[15,16] The endosomal PRR Toll-like receptor
9 (TLR9) is triggered by oligodeoxynucleotides containing cytosine-phosphate-guanosine
motifs (CpG-ODNs). However, it is thus far unclear whether spatial
organization of CpG-ODNs has an impact on the activation of TLR9.
Here, we demonstrate the importance of nanospacing of the immunostimulatory
agents CpG-ODNs for the activation of TLR9 in an immune cell model.
We exploit the recent characterization of the CpG-TLR9 interaction
in published crystallography studies[17−19] combined with the unique
spatial control of ligands on DNA nanomaterials. We create DNA-based
nanoparticles presenting CpG-ODNs at defined nanometer-scale distances
to bind TLR9, as in the crystal structure of the active form. Additionally,
we investigate the spatial tolerance of binding when linkers of different
lengths are introduced.
Results and Discussion
We start
our study by extrapolating the interligand distance in
the target receptor–ligand system using pre-existing protein
crystallography data openly accessible in the protein database (PDB).
In the inactive form, TLR9 is present as a monomer on the endosomal
membrane. It dimerizes and activates upon binding of two CpG-motifs
(stoichiometry TLR9:CpG 2:2).[17,19] From the crystal structure
of the dimeric form of the TLR9-CpG complex (PDB entry 5zln),[18] we have measured the interligand distance of two CpG molecules
bound in the active dimer, which we find to be 7 nm (Figure a). Therefore, we hypothesize
that presenting two CpG molecules at this exact spacing may improve
the triggering of TLR9 and immune cell activation.
Figure 1
Toll-like receptor 9
(TLR9) activation by CpG and DNA-based disk
for delivery of CpG-ODNs. (a) Representation of TLR9 activation with
crystal structures of monomer of TLR9 (inactive form) and CpG-bound
TLR9 dimer (active form) at binding stoichiometry TLR9:CpG 2:2. PBD
codes: 3wpf (monomer), 5zln (dimer with CpG), 4om7 (cytosolic domain).
(b) Representation of immune cell activation upon uptake of free CpG-ODNs.
Surface markers analyzed in this study are reported. (c) Transmission
electron microscopy image of a DNA origami disk and schematic representation
(top right corner). Scale bar: 100 nm. (d) Confocal microscopy images,
overview (left) and zoom-in (right), of the uptake of Cy5-labeled
disks by RAW 264.7 cell line. Nuclei stained with DAPI (blue), late
endosome marker (RAB7) in green and Cy5-disks in red. Cells were treated
with DNase I after uptake to remove noninternalized DNA structures
binding to the cell surface, as previously reported.[22] Scale bars: 10 μm.
Toll-like receptor 9
(TLR9) activation by CpG and DNA-based disk
for delivery of CpG-ODNs. (a) Representation of TLR9 activation with
crystal structures of monomer of TLR9 (inactive form) and CpG-bound
TLR9 dimer (active form) at binding stoichiometry TLR9:CpG 2:2. PBD
codes: 3wpf (monomer), 5zln (dimer with CpG), 4om7 (cytosolic domain).
(b) Representation of immune cell activation upon uptake of free CpG-ODNs.
Surface markers analyzed in this study are reported. (c) Transmission
electron microscopy image of a DNA origami disk and schematic representation
(top right corner). Scale bar: 100 nm. (d) Confocal microscopy images,
overview (left) and zoom-in (right), of the uptake of Cy5-labeled
disks by RAW 264.7 cell line. Nuclei stained with DAPI (blue), late
endosome marker (RAB7) in green and Cy5-disks in red. Cells were treated
with DNase I after uptake to remove noninternalized DNA structures
binding to the cell surface, as previously reported.[22] Scale bars: 10 μm.First, we have established the uptake of our DNA origami platform
to reach the target, since the CpG-binding site of TLR9 is facing
the endosomal environment.[20] When used
as adjuvant in vaccines, CpG-ODNs are promptly taken up by APCs, where
they subsequently bind to TLR9 in the endosome triggering intracellular
signaling cascades for immune cell activation (Figure b). For CpG-delivery in our study, we have
employed DNA-based disk shaped NPs[21] (Figure c): besides nanoscale
control on ligand spacing, our DNA NP exhibits a compact shape and
a reduced size (approximately 60 nm diameter), optimal for uptake
by immune cells.[22,23] For our study, we have chosen
the RAW 264.7 macrophages as a cell model: these cells express high
levels of TLR9 and are frequently selected in immune-engineering studies
with CpG-functionalized nanomaterials.[24] Confocal microscopy images of a Cy5-labeled disk incubated with
RAW 264.7 indeed show that our DNA NP is rapidly taken up by these
cells (<30 min) without the need of targeting molecules, and particles
quickly colocalize in the late endosome, which is optimal for CpG
delivery (Figures d and S1). Indeed, it has been previously
reported that endosomal maturation via acidification is a prerequisite
for CpG-ODNs signaling because of the pH-dependent nature of TLR9-CpG
interaction.[25] At physiological pH (pH
7.4) CpG motifs show weak binding affinity for TLR9, whereas stronger
affinity is observed upon lowering the pH to acidic conditions as
in the late endosome (pH 5.5).[18,26] We have therefore tested
and confirmed the stability of the DNA disk for the entire time scale
of our assays both in the cell medium utilized for this study and
at a low pH value as in the late endosome (pH 5.5) (Figure S2). The DNA platform maintains its stability throughout
all conditions found in the biological assays; thus, it is suitable
to deliver ligands in the endosome to the TLR9 target.With
endosomal delivery confirmed, we have focused our attention
on the spatial presentation of CpG-ODNs to their target receptor.
We exploit once again the programmability of DNA origami, where each
strand can be site-specifically functionalized by design, to present
molecules at a precise distance.[6] Using
DNA-PAINT super-resolution microscopy, we have previously demonstrated
that our structure represents a versatile platform for multivalent
ligand presentation with accurate matching between in silico design
and experimental measures in functionalization patterns.[21]On the basis of the TLR9-CpG crystal structure
analysis, we hypothesize
that presenting CpG-ODNs spatially organized at an interligand spacing
of 7 nm, matching the dimerization distance of TLR9, would be optimal
for immune cell activation. Therefore, we have created CpG-presenting
DNA disks displaying CpG at the distance of 7 nm to match the spacing
of TLR9 dimers and as control at a larger distance (i.e., 38 nm) (Figure a,b). In the latter
situation, we hypothesize that the dimer formation with two CpG molecules
on their binding sites would be impaired and thus a significantly
reduced cellular activation is expected. Dimers without CpG molecules
are unable to induce the conformational changes in TLR9 cytosolic
domains, which are necessary to trigger the signaling cascade via
adaptor protein docking.[27]
Figure 2
Spatially controlled
activation of TLR9 by nanoscale controlled
CpG-spacing on a DNA origami disk. (a) Representation of the spatially
controlled presentation of two CpG molecules at 7 nm spacing (left)
and larger spacing of 38 nm (right), with consequent activation effects.
(b) Schematic of the disks representing the different locations and
distances of the CpG molecules. (c) Activation assays of free CpG-ODNs,
in the range 1 nM to 1 μM. Quantitative analysis of the surface
markers CD83 and CD40 in RAW 264.7 assessed by flow cytometry (left
and center). Median Fluorescence intensity (MFI) data are normalized
subtracting the MFI of the cells without CpG activation (control).
IL-6 production quantification assessed by ELISA (right). Data are
normalized by subtracting the IL-6 production in pg/mL of unstimulated
cells (control). (d) Activation assays of RAW 264.7 incubated with
Cy5-labeled disk (0.5 nM) functionalized with two CpG molecules at
different distances. Quantitative analysis of the surface markers
CD83 and CD40 in the Cy5 gate in RAW 264.7 assessed by flow cytometry
(left and center). Median Fluorescence Intensity (MFI) data are normalized
subtracting the MFI of cells treated with a Cy5-labeled disk without
CpG (empty disk) as a control. IL-6 production quantification assessed
by ELISA (right). Data are normalized by subtracting the IL-6 production
in pg/mL of cells treated with an empty disk. Data are represented
as means of three biological replicates ± standard deviation
(n = 3). *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001; one-way
ANOVA compared to untreated cells for free CpG, t test 7 nm vs 38 nm for CpG disks.
Spatially controlled
activation of TLR9 by nanoscale controlled
CpG-spacing on a DNA origami disk. (a) Representation of the spatially
controlled presentation of two CpG molecules at 7 nm spacing (left)
and larger spacing of 38 nm (right), with consequent activation effects.
(b) Schematic of the disks representing the different locations and
distances of the CpG molecules. (c) Activation assays of free CpG-ODNs,
in the range 1 nM to 1 μM. Quantitative analysis of the surface
markers CD83 and CD40 in RAW 264.7 assessed by flow cytometry (left
and center). Median Fluorescence intensity (MFI) data are normalized
subtracting the MFI of the cells without CpG activation (control).
IL-6 production quantification assessed by ELISA (right). Data are
normalized by subtracting the IL-6 production in pg/mL of unstimulated
cells (control). (d) Activation assays of RAW 264.7 incubated with
Cy5-labeled disk (0.5 nM) functionalized with two CpG molecules at
different distances. Quantitative analysis of the surface markers
CD83 and CD40 in the Cy5 gate in RAW 264.7 assessed by flow cytometry
(left and center). Median Fluorescence Intensity (MFI) data are normalized
subtracting the MFI of cells treated with a Cy5-labeled disk without
CpG (empty disk) as a control. IL-6 production quantification assessed
by ELISA (right). Data are normalized by subtracting the IL-6 production
in pg/mL of cells treated with an empty disk. Data are represented
as means of three biological replicates ± standard deviation
(n = 3). *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001; one-way
ANOVA compared to untreated cells for free CpG, t test 7 nm vs 38 nm for CpG disks.As readout for the immune activation assays with RAW 264.7 cells,
we have screened the release of the pro-inflammatory cytokine IL-6
in cell culture supernatants by ELISA and the increase in surface
expression of the markers CD83 and CD40 by flow cytometry (Figure c,d). Cells are incubated
with samples for 30 min; then DNase I treatment is applied to remove
extra NPs in medium or externally membrane-bound as previously reported
to avoid a false positive uptake signal.[28] Subsequently, cells are incubated for four additional hours in fresh
medium to allow cells to express surface markers before analysis.Using this setup, we have first analyzed the effect of free CpG-ODNs
in the RAW 264.7 cells at the nanomolar range and up to 1 μM,
the standard dose for in vitro studies[29] (Figure c). Subsequently, we have assessed the activation of RAW 264.7
incubated with disks without CpG (defined as “empty disk”)
as a control and disks with two CpG-ODNs presented on their surface
either at 7 nm or at 38 nm of interligand distance (Figure d). Disk samples are tested
at 0.5 nM concentration, with a corresponding 1 nM concentration of
CpG-ODNs (two molecules per structure) and are labeled with six integrated
Cy5 dyes for quantification. To exclude artifacts, we have applied
several control strategies described in the Supporting Information
(Supplementary Text, Figures S3–S5).We have observed statistically
significant upregulation of both
surface markers CD83 and CD40 and increased IL-6 release when two
CpG molecules are present at 7 nm distance, matching the active dimer
form, compared to a structure where they are conjugated at the larger,
suboptimal spacing of 38 nm (Figure d). Simply changing the spatial organization of ligands
presented on NPs using a rational design based on crystallography
data can thus modulate cellular activation levels. While free CpG
at 1 nM concentration does not induce cell activation (Figure c), the disk improves the intracellular
delivery of CpG-ODNs and variances in activation due only to differential
spacings can be observed in all readouts even at a concentration as
low as 1 nM (Figure d). Thus, by combining delivery and correct spatial presentation,
a significant reduction in therapeutic dose can be achieved.To confirm that the spatial activation effect of our CpG-disks
is due to TLR9-specific stimulation and does not involve other immune
pathways, we have generated a TLR9 knockout (KO) RAW 264.7 cell line
(Figure S6). Free CpG-ODNs and our CpG-disk
platform have been tested on the TLR9 KO cells. Disk uptakes between
TLR9-KO RAW 264.7 and wild type are found to be comparable (Figure S7). Interestingly, no activation in any
of the samples in the KO cell line has been observed (Figure ), confirming our previously
measured cellular activation exclusively results from the CpG-TLR9
pathway.
Figure 3
Control of specific activation using standard and TLR9 knockout
(KO) RAW 264.7. Quantitative analysis of the cell-surface expression
of the markers CD83 (a) and CD40 (b) in wild-type and KO RAW 264.7,
incubated with CpG free and disk-conjugated, assessed by flow cytometry.
Median Fluorescence Intensity (MFI) data are reported relative to
MFI of the corresponding untreated control cells (wild type or KO).
Data are represented as means of three biological replicates ±
standard deviation (n = 3). *p ≤
0.05, ***p ≤ 0.001; one-way ANOVA compared
to corresponding control.
Control of specific activation using standard and TLR9 knockout
(KO) RAW 264.7. Quantitative analysis of the cell-surface expression
of the markers CD83 (a) and CD40 (b) in wild-type and KO RAW 264.7,
incubated with CpG free and disk-conjugated, assessed by flow cytometry.
Median Fluorescence Intensity (MFI) data are reported relative to
MFI of the corresponding untreated control cells (wild type or KO).
Data are represented as means of three biological replicates ±
standard deviation (n = 3). *p ≤
0.05, ***p ≤ 0.001; one-way ANOVA compared
to corresponding control.Taken together, our results demonstrate how spatial presentation
of ligands on nanomaterials, rationally designed on the basis of crystallographic
data, can significantly affect the activation of immune cells. NP-mediated
delivery and preassembly of ligands on the NP surface increase the
local concentration of the ligand next to the receptors, benefiting
from a controlled spatial multivalency effect compared to the case
for free CpG at the same dose. While CpG-ODNs in free form require
a high dose to stimulate the cells, strong activation even at very
low concentrations of ligands can be achieved simply by proper spatial
organization. This finding may have significant consequences for therapeutic
ligands that are subject to dose-dependent toxicity.Active
molecules are often conjugated to nanomaterials via linkers
of diverse chemical nature and length. These linkers are considered
“functionally inert”, but their flexibility influences
the spacing at which ligands are presented to cell surface receptors.[30−32] Therefore, we have investigated the spatial tolerance of the TLR9
activation pathway when linkers of various length are introduced between
the DNA platform and the CpG-ODN ligands.Exploiting once again
the programmability of DNA, we have introduced
a DNA linker of 10 or 20 base pairs (bp) between the core origami
structure and the CpG-ODNs (Figures a and S8). Assuming an ideal
case of maximal extension, the introduction of a 10 bp or 20 bp DNA
double helix adds a space of ±3.4 or ±6.8 nm, respectively,
to the 7 and 38 nm distances (calculated from the disk surface base).
Figure 4
Spatial
tolerance of CpG-ODNs binding with flexible DNA linkers.
(a) Representation of the CpG-ODNs functionalization to the disk surface
in the absence of linkers and in the presence of linkers of 10 or
20 base pairs (bp). (b) Activation assays of RAW 264.7 incubated with
Cy5-labeled disk functionalized with two CpG molecules at different
distances (7 and 38 nm) and with different linker lengths (0, 10,
or 20 bp). Quantitative analysis of the cell-surface expression of
the markers CD83 (left) and CD40 (center) in the Cy5 gate assessed
by flow cytometry and IL-6 production quantification assessed by ELISA
(right) in RAW 264.7. Data normalized compared to cells treated with
empty disk. Data are represented as mean of three biological replicates
± standard deviations (n = 3). *p ≤ 0.05; t test 7 nm vs 38 nm CpG disks.
Spatial
tolerance of CpG-ODNs binding with flexible DNA linkers.
(a) Representation of the CpG-ODNs functionalization to the disk surface
in the absence of linkers and in the presence of linkers of 10 or
20 base pairs (bp). (b) Activation assays of RAW 264.7 incubated with
Cy5-labeled disk functionalized with two CpG molecules at different
distances (7 and 38 nm) and with different linker lengths (0, 10,
or 20 bp). Quantitative analysis of the cell-surface expression of
the markers CD83 (left) and CD40 (center) in the Cy5 gate assessed
by flow cytometry and IL-6 production quantification assessed by ELISA
(right) in RAW 264.7. Data normalized compared to cells treated with
empty disk. Data are represented as mean of three biological replicates
± standard deviations (n = 3). *p ≤ 0.05; t test 7 nm vs 38 nm CpG disks.Interestingly, we have observed (1) the loss of
significant difference
in activation between 7 and 38 nm spacing in all the readouts when
a linker is included, (2) a progressively lower activation correlating
with the increase in linker length, and (3) higher standard deviation
for several samples where a linker is introduced between the disk
surface and CpG ligand (Figure b). While the first observation may suggest that ligands can
perfectly fit receptors no matter what their spacing is, if a sufficiently
long linker is included, the second point shows that this is not the
case. Hence, we deduce that reduced flexibility in the presentation
of ligands at the correct spacing is required to fit with the active
form of the receptor. Ligand rigidity and matching of receptor distances
combine in a phenomenon that we define as spatial tolerance of binding.
It has been shown that reduced flexibility confers an advantage for
the thermodynamics of ligand binding. A low spatial tolerance decreases
the conformational and combinatorial entropy penalties.[33] On the contrary, the higher conformational possibilities
given by the linkers increases the entropic penalty of binding. The
third effect may derive from a combination of the previous two, indicating
that the observed average effect comes from a mixture of specific
and nonspecific activation stimuli. Taken together, the flexibility
introduced by the linkers negatively impacts the improved efficacy
given by spatial presentation. However, spatial tolerance requires
a minimum range for interactions: in other words, a balance between
a rigid interaction and adjustability to a certain extent is required
for binding. In this case, it is important to note that a CpG-ODN
is a single strand DNA sequence itself with a length of 20 nucleotides.
Therefore, the ligand has an intrinsic flexibility that allows ligand–receptor
interactions with favorable binding enthalpy.[34]In summary, the introduction of linkers between a nanoparticle
surface and active molecules has a clear impact on ligand–receptor
complexation and, consequently, cell activation. In the design of
active nanomaterials, the static spatial organization as well as the
dynamics of ligand–receptor binding are closely correlated
and therefore demand special attention. Not only spatial presentation
but also the influence of spatial tolerance need to be carefully investigated
related to the target pathway. If properly executed, spatially controlled
ligand presentation can be a breakthrough for the development of immune-modulating
nanomaterials where multivalent binding is involved.
Conclusions
While multiple clinical trials have shown the efficacy of CpG-ODNs
for activation of APCs through the TLR9 pathway,[35] the current method of administration through subcutaneous
injection of free CpG-ODNs requires high doses.[36] This can lead to side effects such as systemic inflammation
in the case of nonspecific off-target delivery and/or autoimmune diseases
in the case of excessive immune reactions.[37] Therefore, continuous research to improve safety though specificity
and dose reduction, while maintaining efficacy, is a medical need.[37]While intensive effort has been made in
immune-engineering research
to create nanomaterials for drug delivery and new therapeutic molecules,
the importance of interligand distance in multivalent binding has
been neglected.[38,39] DNA nanotechnology, with its
unprecedented control of spacing for biological ligands, has emerged
as a powerful tool to investigate fundamental details of ligand–receptor
interactions and to understand how to manipulate the activation of
signaling pathways on the nano level.[4] Early
examples of delivery of CpG-loaded DNA nanostructures, such as a DNA
nanotube and a wireframe DNA tetrahedron, have shown in vitro and in vivo increased immune activation compared
to results for free CpG-ODNs.[12−14] However, in these studies, the
focus of the nanocarriers has been simply to maximize CpG delivery
rather than to investigate the foundational ligand–receptor
interaction in this pathway.On the basis of crystallographic
data, we here have demonstrated
how nanoscale variations in ligand spacing produce significantly different
immunological responses. Matching the CpG spacing with the distance
of the binding sites of the TLR9 active dimer significantly enhances
cellular activation in comparison with random ligand presentation
or free form CpG at an equal dose. Our results demonstrate that dose
reduction can be achieved not only by proper delivery systems but
also via nanoscale spatial control of ligand presentation on nanomaterial
surfaces. Additionally, we have shown the negative consequences of
flexible linkers used to conjugate active molecules to nanomaterials,
as they impact the spatial tolerance and consequently the efficacy
of binding. Not only pattern design but also a certain rigidity in
ligand presentation are required to efficiently orchestrate a multivalent
interaction.The spatial tolerance of a signaling pathway therefore
is a means
to control therapeutic intervention. At the same concentration, higher
activation can be achieved simply by presenting ligands in the proper
way to their receptors. Introducing uniformity and proper rigidity
in ligand presentation, offering a full ligand dose to bioreceptors
in the optimal way, reduces the amount of drug needed for immune activation
and to lower variability in efficacy. Herein, DNA-based nanomaterials
are starting to set the basis in the understanding of the structure–activity
relationships behind multivalent ligand–receptor signaling
pathways. Future vaccine design strategies with fine-tuned control
of immune-modulating ligand, valency, pattern, rigidity and spacing
may therefore ensure decreased systemic disorders by dose reduction,
while maintaining efficacy.
Authors: Maartje M C Bastings; Frances M Anastassacos; Nandhini Ponnuswamy; Franziska G Leifer; Garry Cuneo; Chenxiang Lin; Donald E Ingber; Ju Hee Ryu; William M Shih Journal: Nano Lett Date: 2018-05-22 Impact factor: 11.189
Authors: Joschka Hellmeier; Rene Platzer; Alexandra S Eklund; Thomas Schlichthaerle; Andreas Karner; Viktoria Motsch; Magdalena C Schneider; Elke Kurz; Victor Bamieh; Mario Brameshuber; Johannes Preiner; Ralf Jungmann; Hannes Stockinger; Gerhard J Schütz; Johannes B Huppa; Eva Sevcsik Journal: Proc Natl Acad Sci U S A Date: 2021-01-26 Impact factor: 12.779
Authors: Michael J Mitchell; Margaret M Billingsley; Rebecca M Haley; Marissa E Wechsler; Nicholas A Peppas; Robert Langer Journal: Nat Rev Drug Discov Date: 2020-12-04 Impact factor: 84.694
Authors: Alan Shaw; Ian T Hoffecker; Ioanna Smyrlaki; Joao Rosa; Algirdas Grevys; Diane Bratlie; Inger Sandlie; Terje Einar Michaelsen; Jan Terje Andersen; Björn Högberg Journal: Nat Nanotechnol Date: 2019-01-14 Impact factor: 39.213
Authors: Eva E Kurisinkal; Vincenzo Caroprese; Marianna M Koga; Diana Morzy; Maartje M C Bastings Journal: Molecules Date: 2022-08-04 Impact factor: 4.927