Roel Hammink1,2, Jorieke Weiden1,2,3, Dion Voerman1,3, Carlijn Popelier1, Loek J Eggermont1,3, Marjolein Schluck1,2,3, Carl G Figdor1,2,3, Martijn Verdoes1,3. 1. Department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Geert Grooteplein 26, 6525 GA Nijmegen, Netherlands. 2. Division of Immunotherapy, Oncode Institute, Radboud University Medical Center, 6525 GA Nijmegen, Netherlands. 3. Institute for Chemical Immunology, 6525 GA Nijmegen, Netherlands.
Abstract
A variety of bioactive materials developed to expand T cells for adoptive transfer into cancer patients are currently evaluated in the clinic. In most cases, T cell activating biomolecules are attached to rigid surfaces or matrices and form a static interface between materials and the signaling receptors on the T cells. We hypothesized that a T cell activating polymer brush interface might better mimic the cell surface of a natural antigen-presenting cell, facilitating receptor movement and concomitant advantageous mechanical forces to provide enhanced T cell activating capacities. Here, as a proof of concept, we synthesized semiflexible polyisocyanopeptide (PIC) polymer-based immunobrushes equipped with T cell activating agonistic anti-CD3 (αCD3) and αCD28 antibodies placed on magnetic microbeads. We demonstrated enhanced efficiency of ex vivo expansion of activated primary human T cells even at very low numbers of stimulating antibodies compared to rigid beads. Importantly, the immunobrush architecture appeared crucial for this improved T cell activating capacity. Immunobrushes outperform current benchmarks by producing higher numbers of T cells exhibiting a combination of beneficial phenotypic characteristics, such as reduced exhaustion marker expression, high cytokine production, and robust expression of cytotoxic hallmarks. This study indicates that semiflexible immunobrushes have great potential in making T cell-based immunotherapies more effective.
A variety of bioactive materials developed to expand T cells for adoptive transfer into cancerpatients are currently evaluated in the clinic. In most cases, T cell activating biomolecules are attached to rigid surfaces or matrices and form a static interface between materials and the signaling receptors on the T cells. We hypothesized that a T cell activating polymer brush interface might better mimic the cell surface of a natural antigen-presenting cell, facilitating receptor movement and concomitant advantageous mechanical forces to provide enhanced T cell activating capacities. Here, as a proof of concept, we synthesized semiflexible polyisocyanopeptide (PIC) polymer-based immunobrushes equipped with T cell activating agonistic anti-CD3 (αCD3) and αCD28 antibodies placed on magnetic microbeads. We demonstrated enhanced efficiency of ex vivo expansion of activated primary human T cells even at very low numbers of stimulating antibodies compared to rigid beads. Importantly, the immunobrush architecture appeared crucial for this improved T cell activating capacity. Immunobrushes outperform current benchmarks by producing higher numbers of T cells exhibiting a combination of beneficial phenotypic characteristics, such as reduced exhaustion marker expression, high cytokine production, and robust expression of cytotoxic hallmarks. This study indicates that semiflexible immunobrushes have great potential in making T cell-based immunotherapies more effective.
The
human immune system has the capability to identify and clear
infected or malignant cells,[1] but in the
case of cancer, the immune system often fails.[2,3] Immunotherapies
have therefore emerged to boost the immune system to better fight
malignancies. As T cells play a central role in the clearance of cancer
cells, many immunotherapies aim to increase tumor-specific T cell
responses.[4,5] For example, adoptive T cell therapy is
aimed at strengthening the immune response by infusing autologous
tumor-reactive T cells into cancerpatients, thereby benefitting from
their cytotoxic potential.[6−10] To generate sufficient numbers of functional T cells, autologous
T cells need to be activated and expanded ex vivo.Current strategies for ex vivo T cell activation
often make use of artificial antigen-presenting cells (aAPCs) that
mimic the natural activation signals presented by antigen-presenting
cells (APC) such as dendritic cells.[11] For
T cell activation, three main signals are important: (1) T cell receptor
(TCR) stimulation;[12] (2) co-stimulation,
for example, by engagement of the co-stimulatory receptor CD28 on
T cells;[13,14] and (3) the secretion and binding of cytokines.[15] A common design for aAPCs is the use of rigid
synthetic scaffolds that present signals 1 and 2, often using agonistic
anti-CD3 (αCD3) and αCD28 antibodies, respectively.[11,16,17] Protocols using these aAPCs for
T cell expansion are often complemented with soluble IL-2 as signal
3. Such rigid aAPCs have been developed in many shapes and sizes.[11,18,19] Current standards for in vitro T cell activation are magnetic microbeads containing
αCD3 and αCD28, most commonly Dynabeads with a diameter
of 4.5 μm.[20−22]Adoptive cell therapies (ACTs) exploiting Dynabeads
or similar
rigid aAPCs for T cell expansion have shown promising results in phase
1 and 2 clinical trials for hematological cancers and some solid cancers
such as melanoma.[6,7,23,24] However, the practical feasibility of ACT
and treatment efficacy are still hampered by the extensive ex vivo expansion that is needed to obtain enough cells
for reinfusion.[25−28] This expansion is not only a time-consuming and expensive process
that limits the widespread application of ACT, but can also yield
T cells with poor persistence and limited functionality in
vivo.[26,28−31] These limitations could be a
consequence of the fact that rigid spherical beads are poor mimics
of natural APCs. APC membrane fluidity and receptor rearrangements
play an important role during interaction with T cells and subsequent
activation.[32] A wide range of new strategies
are being developed to improve ex vivo T cell expansion.[33−36] To further boost adoptive cell therapies, it is crucial to develop
better aAPCs that activate and expand T cells ex vivo at higher rates, while generating T cells with optimal phenotypes
and high functionality. Therefore, it is crucial to increase our understanding
of how aAPC design impacts T cell activation to improve the development
of novel aAPC strategies.Recently, we introduced a new type
of aAPC based on soluble semiflexible
polyisocyanopeptide (PIC) polymers with a length of around 400 nm.
This scaffold is able to induce very potent and long-lasting T cell
activation.[37−40] The success of these aAPCs is attributed to the semiflexibility
of the polymers, which is hypothesized to enable high motility of
the signals that are attached. At the same time, the polymer backbone
is stiff enough to present the signals in a stretched confirmation.
The T cell activating capacity of PIC-based aAPCs is remarkable, especially
given the fact that their size is far below the optimal 4–5
μm size range frequently used for aAPCs,[18] which is advantageous, for example, for in vivo applications. In this work, we aim to combine the best of two worlds
by grafting T cell activating PICs onto optimally sized magnetic microbeads,
allowing easy separation from the expanded T cells. We hypothesize
that due to their semiflexible nature, the grafted PICs will form
a brush surface to more effectively present the activating signals,
which will result in improved T cell expansion performance compared
to rigid beads.Here, we show the design and functionalization
of PIC-grafted magnetic
microbeads with αCD3 and αCD28 agonistic antibodies. We
illustrate that the brush configuration of the polymer is crucial
for efficient T cell activation and we optimized the T cell stimulating
potential over a range of design parameters, such as antibody ratio
and density. In addition, we demonstrate that these immunobrushes
outperform rigid beads to which the same signals are directly attached
to the surface. Finally, we show that the αCD3/αCD28 PIC
immunobrush outperformed clinically approved expansion systems like
CD3/CD28 Dynabeads or T Cell TransAct in expansion of primary T cells
with beneficial phenotypic characteristics using standard operation
procedures similar to those used for clinical application.
Experimental Section
Synthesis of Biotin End-Functional PIC
End-functional
PIC were synthesized according to the previously reported
protocol.[41] Briefly, PICs with an allyl
containing first block were prepared. For this, methoxy-, allyl-,
and azide-terminated monomers were prepared as described according
to the literature.[37,41] For the polymerization of the
first block, methoxy-terminated monomer and allyl-terminated monomer
were dissolved in a 1:1 molar ratio in dry toluene obtained from an
MBraun SPS 800 solvent system at a total monomer concentration of
27.7 mM. To this mixture, a 4 mM catalyst solution was added (Ni(ClO4)2·6H2O in 9:1 toluene/ethanol)
with a monomer/catalyst ratio of 100:1 and was reacted for 10 min.
Next, for the second block, a solution of azide monomer (0.66 mg,
0.0018 mmol) and methoxy monomer (19.34 mg, 0.054 mmol) in dry toluene
(0.50 mL) was added and the polymerization was stirred overnight at
room temperature (RT). Isocyanide consumption was confirmed by disappearance
of the characteristic IR absorbance at 2140 cm–1. The polymers were precipitated three times in diisopropyl ether
and air-dried overnight to give an off-white solid (15.35 mg, 77%).
The helical backbone of the PIC was confirmed by circular dichroism
spectroscopy of PIC solutions in phosphate-buffered saline (PBS) pH
7.4.[43] The average polymer length was determined
by atomic force spectroscopy (AFM, Figure S1) using a Nanoscope IV instrument (Bruker) and NSG-10 tapping mode
tips (NT-MDT) and found to be 205 nm.[37] The allyl functionalities in the first block were then converted
to biotin via the nitrile imine-mediated tetrazole-ene cycloaddition
(NITEC) reaction using a tetrazole-biotin compound as described before.[41] Biotin conjugation was confirmed by measuring
the fluorescence of the pyrazolines that are formed upon conjugation
using a SPARK M10 plate reader from TECAN. The biotin end-functional
PIC was then dissolved at 2 mg/mL in PBS and labeled overnight at
4 °C with dibenzocyclooctyne (DBCO)-conjugated Alexa Fluor 594
dye (Click Chemistry Tools) using a 1:500 ratio of dye/azide and used
without purification.
Functionalization of Antibodies
Anti-human
CD3 antibodies (clone OKT3, BioXcell) and anti-humanCD28 antibodies
(clone 9.3, BioXcell) were functionalized with dibenzocyclooctyne
(DBCO) or biotin and fluorescent dyes as described previously.[39,43] To ensure that the DBCO-functionalized antibodies contain the same
amount of dyes as their biotin-functionalized counterparts, the antibodies
were first conjugated with the dyes. The antibody storage buffer was
converted to 50 mM borate buffer pH 8.5 using Amicon centrifugal filters
(30 kDa cutoff, Merck), and the antibodies were reacted with 2.5 equiv
of Atto 488-NHS ester (A488, Atto-TEC GmbH, for αCD3) and Alexa
Fluor 647-NHS ester (AF647, Thermo Fischer Scientific, for αCD28)
for 2 h at 4 °C. Dye-functionalized proteins were purified using
a 5 mL 40K Zeba spin desalting column (Thermo Fischer Scientific).
The batches of dye-functionalized antibodies were then redissolved
in 50 mM borate buffer pH 8.5; half were reacted with 5 equiv DBCO-PEG4-NHS
(Jena Bioscience) and the other half with 5 equiv NHS-PEG4-biotin
(Jena Bioscience) for 2 h at 4 °C. The functionalized proteins
were again purified using a 5 mL 40K Zeba spin desalting column. The
degree of labeling (DOL) of DBCO and fluorescent dyes was determined
using a NanoDrop 2000c spectrophotometer. The concentrations of protein,
DBCO, and dye were calculated based on the absorbance at 280, 309,
501, and 650 nm and corrected for overlap in the absorbance spectra
of the individual molecules. Typically, the DOL of DBCO was 2–4
and the DOL of the dyes was 1–3.
Conjugation
of DBCO-Conjugated Antibodies
to PIC
A 1 mg/mL solution of the biotin end-functional PIC
in PBS (50 μL, 0.05 mg, 4.4 nmol azide monomer) was added to
a solution of DBCO- and AF647-labeled αCD28 and DBCO- and A488-labeled
αCD3 in PBS (450 μL) in the desired antibody ratios. The
mixture was reacted overnight at RT. To prevent PIC cross-linking
in the following steps, excess unreacted DBCO conjugated to the antibodies
was quenched by addition of 1000 equiv azido propylamine from a 100
μM stock solution in dimethyl sulfoxide (DMSO) and was reacted
for 2 h at room temperature. The conjugated polymer, when used for
grafting, was then used without further purification as unreacted
antibodies are removed by washing the beads after grafting. When used
as soluble antibody-functionalized PIC for activation or for determination
of antibody per PIC, they were purified using affinity purification
according to the literature.[43] The amount
of antibody per PIC of purified polymer was determined by measuring
the fluorescence of the respective labels on PIC, αCD3, and
αCD28 and comparing it to trendlines of the pure labeled compounds.
Synthesis of PIC Beads and Ab Beads
Streptavidin-coated
magnetic beads were prepared from 4.5 μm
beads with a tosyl-activated surface (Dynabeads M450 Tosyl from Thermo
Fischer Scientific). Tosyl bead suspension (1 mL) was washed three
times with 50 mM borate buffer pH 8.5 using a magnetic separation
rack from Westburg BV. The beads were resuspended in 1 mL of 20 mM
streptavidin in borate buffer pH 8.5 and reacted overnight at room
temperature. Next, the beads were washed 2× with 0.05% PBSTween
and 3× with PBS and resuspended in 1 mL of PBS. For the preparation
of PIC beads or Ab beads, the supernatant was first removed using
the magnet and then replaced with a solution of the desired biotin
end-functional PIC or biotin-functionalized antibodies. The beads
were incubated with the desired biotin compounds on a rotator overnight
at 4 °C and washed with 2× 0.05% PBSTween and 3× with
PBS. The beads were analyzed by flow cytometry on a BD FACS Verse
cytometer and via the previously reported stripping assay,[41] with the exception that as a stripping solution,
3 mM biotin in 2% sodium dodecyl sulfate (SDS) in Milli-Q water was
used. For the beads made for the antibody density series, only flow
cytometry analysis was performed to determine antibody densities and
PIC densities from the Ab/PIC ratio determined after polymer purificationFor the preparation of flat PIC beads, a similar protocol was followed,
but a PIC with random bound biotins instead of the end-functional
PIC was used. To attach the biotin in a random manner, half of the
azides in the PIC were converted to biotin, using DBCO-PEG4-biotin.
This flexible poly(ethylene glycol) (PEG) spacer, combined with the
semiflexibility of the PIC backbone and the flexible linkers connecting
the antibodies to the PIC, should provide ample flexibility and accessibility
of the antibodies to the T cells. The remaining azides were used for
the conjugation of the antibodies. The cross-linked PIC beads were
prepared by omitting the quenching of excess DBCO on the antibodies,
after which the exact same protocol for PIC bead preparation was followed
as above. For the flow cytometry analysis, single beads were gated
using a plot of forward scatter versus side scatter, and mean fluorescence
intensities (MFIs) of the A488 and AF647 labels were recorded using
fluorescein isothiocyanate (FITC) and APC channel, respectively. The
beads were stored as a suspension in PBS (1 mg/mL) and used within
2 weeks of preparation. Before using them to activate T cells, they
were freshly washed three times with sterile PBS and then resuspended
in sterile X-Vivo medium with 2% human serum at a concentration of
4 × 107 beads/mL and used directly in T cell activation
assays.
Isolation of Primary Human Pan T Cells and
Activation
Fresh peripheral blood mononuclear cells (PBMCs)
were obtained by Ficoll density centrifugation of buffy coats obtained
from healthy donors in accordance with recommendations of institutional
guidelines. All subjects gave written informed consent in accordance
with the Declaration of Helsinki. Pan T cells were isolated from peripheral
blood leukocytes using the Pan T cell isolation kit (Miltenyi Biotec).
T cell purity was determined by flow cytometry staining with CD3 (eBioscience)
and was typically >98%. For the conditions where the proliferation
after 3 days was measured, isolated T cells were stained with CellTrace
Violet before activation. This staining was performed by incubating
the cell suspension in 2.5 μM CellTrace Violet solution in PBS
at room temperature for 10 min in the dark. The reaction was then
quenched by adding an equal volume of fetal bovine serum, and cells
were washed three times with X-Vivo medium containing 2% human serum.The isolated T cells were cultured in 96-well u-bottom plates (Corning)
using 105 cells per well in a final volume of 200 μL
X-Vivo medium with 2% human serum. For the initial validation of the
PIC beads, no IL-2 was added to the medium. For the expansion protocol,
the medium was supplemented with 30 IU/mL IL-2 (Cell Genix). To stimulate
cells, PIC beads were added (1 bead per cell, washed 3× in PBS):
CD3/CD28 Dynabeads (Thermo Fischer Scientific) (1 bead per cell, washed
1× in PBS) or T Cell TransAct (Miltenyi Biotec) (1:100). The
cells were incubated at 37 °C for a desired time. After 3, 6,
9, and 11 days of culture, the medium was taken off. T cells were
split in half, and 200 μL of fresh medium with 30 IU/mL IL-2
was added.
IL-2 and IFNγ Analysis
by Enzyme-Linked
Immunosorbent Assay (ELISA)
After 20–24 h of cell
culture, 125 μL of supernatant was taken from each condition
and stored at −20 °C until used. Cytokine production was
quantified using standard sandwich ELISA kits for human IFN γ
(Invitrogen) and IL-2 (eBioscience) according to manufacturer’s
protocol.
Determining T Cell Activation and Proliferation
On day 1, T cells were transferred to v-bottom 96-well plates (Corning)
and stained with the Zombie Violet Fixable Viability Kit (Biolegend).
To determine T cell activation, we performed cell surface staining
with CD8-BV510, CD4-APC-Cy7, CD69-PE, and CD25-PE-Cy7 (all BD Biosciences).
On day 3, we determined T cell proliferation by transferring T cells
to v-bottom 96-well plates and staining with Fixable Viability Dye
eFluor 780 (BD) followed by cell surface staining with CD4-PE (BD
Biosciences) and CD8-BV510. All samples were acquired on the FACS
Verse (BD Biosciences). The mean cell cycle of all T cells was determined
as a measure for the average number of cell proliferation cycles.
The mean cycle was calculated with the formula log2(f), where f is the CellTrace Violet mean fluorescence
intensity (MFI) of all nonproliferated T cells divided by the CellTrace
Violet MFI of all T cells.
T Cell Expansion and CD4/CD8
Ratio
To quantify expansion of the T cells over time, we
transferred T
cells on days 1, 7, and 14 to 96-well v-bottom plates and performed
a cell surface staining with CD8-BV510 and CD4-APC Cy7. The cells
were acquired and the cell number was quantified on an MACS Quant
flow cytometer (Miltenyi Biotec) together with a propidium iodide
staining (Miltenyi Biotec) to assess cell viability. The cell number
was corrected for the number of times the cells were split during
cell culture, and the fold expansion was calculated relative to the
number of T cells put in the wells on day 0 (50.000).
T Cell Phenotype
On day 14, we transferred
the cells to a 96-well v-bottom plate and performed flow cytometry
stainings to assess the phenotype of the T cells. All of the cells
were stained with Fixable Viability Dye eFluor 780, followed by staining
according to the following panels:Memory phenotype—Cell surface:
CD8-PE-Cy7 (Biolegend), CD95-BV421 (Biolegend), CD45RA-BV510 (Biolegend),
CCR7-PE (BD Biosciences).Exhaustion—Cell surface: CD4-BV421
(Biolegend), CD8-PECy7, PD-1-BV510 (BD Biosciences), TIM-3-PerCP-eFluor
710 (eBioscience).To measure cytokine
production and cytotoxicity, T cells
were first restimulated for 5.5 h with 20 ng/mL phorbol myristate
acetate (PMA) (Calbiochem), 1 μg/mL ionomycin (Sigma-Aldrich),
10 μg/mL Brefeldin A (BFA) (Sigma-Aldrich), and 2 μM monensin
(eBioscience). For the cytotoxicity panel, at the same time, cells
were incubated with CD107a-PeCy5 (BD Biosciences) for 5.5 h. Next,
T cells were transferred to a 96-well v-bottom plate and stained with
Fixable Viability Dye eFluor 780, followed by staining according to
the following panels:Cytokine production—Cell surface:
CD8-BV510, intracellular: IFNy-BV421 (BD Biosciences), IL-2-PE (eBioscience)
TNFα-PerCP/Cy5.5 (eBioscience).Cytotoxicity—Cell surface:
CD4-BV421, intracellular: Granzyme B-PE (Biolegend).For intracellular stainings, cells were fixated and
permeabilized
using a Fixation/Permeabilization Solution Kit (BD Biosciences). All
samples were acquired on the FACS Verse, and the gates were set using
fluorescence minus one (FMO) controls.
Statistics
Data are expressed as
mean ± standard error of the mean (SEM).Statistical analyses
were performed in GraphPad Prism 8.0.2 software using the appropriate
testing methods, as indicated in the figure legends. Normality was
tested using the D’Agostino–Pearson omnibus normality
test. Statistical significance was defined as a two-sided significance
level of <0.05 indicated as *p ≤ 0.05,
**p ≤ 0.01, and ***p ≤
0.001. Flow cytometry data were analyzed using FlowJo software version
X 10.0.7r2 (Tree Star).
Results
PIC Immunobrushes
Effectively Stimulate T
Cells
To synthesize T cell activating PIC immunobrushes,
we applied a methodology we recently developed to graft PIC polymers
to various surfaces.[41] Here, we aimed to
synthesize PIC block copolymers containing orthogonal functional groups
to introduce T cell activating signals on one side of the polymer
and use the other side to attach the polymers to 4.5 μm magnetic
beads (Figure a).
The first block contained allyl functional groups, which were subsequently
modified with tetrazole-biotin via photoinduced nitrile imine-mediated
tetrazole-ene cycloaddition (NITEC) reaction. The second, larger block
contains azide functional groups, which can be used to “click”
dibenzocyclooctyne (DBCO)-modified antibodies via a strain-promoted
azide alkyne cycloaddition reaction (SPAAC) (Figure a).[42] The ratio
between the average length of the biotin and azide functional blocks
was 1:20, with an average total length of 205 nm as determined with
atomic force microscopy (Figure S1). Next,
DBCO-modified αCD3 and αCD28 antibodies were “clicked”
to the PIC block copolymers in different ratios (Table S1 for all formulations) to establish the optimal ratio
for T cell activation and expansion. Subsequently, these antibody-functionalized
polymers were grafted onto streptavidin-coated 4.5-μm-sized
magnetic beads, to obtain the αCD3/αCD28 PIC brush beads
to be characterized for their T cell activating capacities (Figure a).
Figure 1
Synthesis and characterization
of PIC immunobrush beads. (a) Schematic
overview of the preparation of PIC brush beads (top), Ab beads (bottom
left), flat PIC beads (bottom center), and cross-linked PIC beads
(bottom right). (b, c) Production of IFNγ (b, n = 3 in two independent experiments) and IL-2 (c, n = 4 in two independent experiments) after 20–24 h of human
T cells stimulated with directly coupled antibody beads or PIC beads.
(d) Mean cell cycle of proliferated human T cells on day 3, stimulated
directly coupled antibody beads or PIC beads n =
4 in two independent experiments. (b–d) A paired t test was performed on log2-transformed data. (e, f) IFNγ and
IL-2 production of human T cells after 20–24 h stimulated with
PIC beads with reduced mobility, n = 2 in one independent
experiment. An RM one-way analysis of variance (ANOVA) was performed
on log2-transformed data with Geisser–Greenhouse correction,
followed by Dunnett’s multiple comparison test.
Synthesis and characterization
of PIC immunobrush beads. (a) Schematic
overview of the preparation of PIC brush beads (top), Ab beads (bottom
left), flat PIC beads (bottom center), and cross-linked PIC beads
(bottom right). (b, c) Production of IFNγ (b, n = 3 in two independent experiments) and IL-2 (c, n = 4 in two independent experiments) after 20–24 h of human
T cells stimulated with directly coupled antibody beads or PIC beads.
(d) Mean cell cycle of proliferated human T cells on day 3, stimulated
directly coupled antibody beads or PIC beads n =
4 in two independent experiments. (b–d) A paired t test was performed on log2-transformed data. (e, f) IFNγ and
IL-2 production of human T cells after 20–24 h stimulated with
PIC beads with reduced mobility, n = 2 in one independent
experiment. An RM one-way analysis of variance (ANOVA) was performed
on log2-transformed data with Geisser–Greenhouse correction,
followed by Dunnett’s multiple comparison test.Having synthesized the αCD3/αCD28 PIC immunobrush
beads,
we set out to analyze their ability to stimulate primary human T cells
(CD4+ and CD8+ Pan T cells). The performance
of the PIC immunobrush beads was compared to that of beads with similar
quantities and ratios of αCD3 and αCD28 antibodies directly
attached to the particle surface (Ab beads, Figure a) (PIC beads: 4.2 ratio αCD28/αCD3,
12.2 ng of total antibody/106 beads; Ab beads: 3.6 ratio
αCD28/αCD3, 14.5 ng of total antibody/106 beads).
No soluble IL-2 was added to the culture, to establish the pure effect
of the PIC beads on T cell activation. We observed that the IFNγ
production of T cells stimulated with PIC beads was remarkedly upregulated
(3.1-fold) after 1 day of stimulation compared to Ab beads (Figure b). Even more pronounced,
IL-2 production of T cells stimulated with the PIC beads was increased
17-fold compared to exposure to Ab beads (Figure c). Three days of T cell stimulation with
PIC beads led to a high proliferative character, similar to that of
T cells cultured together with Ab beads (Figure d).Next, to investigate the impact
of immobilization of PIC on their
performance, we compared the T cell activation potential of αCD3/αCD28
PIC immunobrush beads with soluble αCD3/αCD28 PICs.[37,38,40] Human T cells were stimulated
with similar amounts of αCD3 and αCD28 immobilized on
PIC beads (1 bead per cell) or soluble PIC[43] having similar antibody concentration and ratios (Table S1). Compared to stimulation with soluble PIC, 1 day
stimulation with PIC beads led to 1.7- and 1.9-fold increases in IFNγ
and IL-2 production, respectively (Figure S2a,b). The proliferation of PIC bead-stimulated T cells was increased
2.5-fold (Figure S2c). Together, these
results indicate that clustering the αCD3/αCD28 PIC together
on microbeads greatly enhances their ability to activate T cells.We argued that the brush design of our PIC immunobrush beads (i.e., the polymers connected to the surface on one side
at a high enough density that PIC polymers are oriented perpendicular
to the bead surface) is a key factor in the observed increased activation
of T cells. We hypothesize that, compared to antibodies directly coupled
to beads, antibodies coupled to PICs have much more mobility due to
the semiflexible nature of the PIC. Thus, they are better capable
to follow receptor rearrangements, similar to ligands in a membrane
of a natural APC, a characteristic that appeared to be very important
in T cell activation.[44−47] To substantiate this hypothesis, instead of installing biotins at
one end of the PIC, we functionalized PICs with biotins randomly throughout
the entire polymer (Figure a, bottom center). When bound to 4.5 μm streptavidin
beads, the complete polymer chain is expected to be attached to the
bead surface (flat PIC beads, Table S1),
which reduces the ligand mobility compared to PICs attached to the
surface with a single end. In addition, we aimed to rigidify the PIC
brush structure by allowing the cross-linking of the single-end surface-bound
αCD3/αCD28 PICs. To this end, we grafted beads with αCD3/αCD28
PICs for which the step to quench the excess DBCO on the antibodies
was omitted. This allows reaction with the excess azides on adjacent
PICs on the bead to induce cross-linking without the need for additional
antibody modification (cross-linked PIC, Figure a, bottom right, and Table S1). Cross-linking of the PICs on the beads will reduce
the PIC mobility and could have influenced accessibility of antibodies,
which are present within the brush. We observed that primary human
T cells stimulated with flat or cross-linked PIC beads did not produce
substantial amounts of IFNγ and IL-2 after 1 day of culture,
whereas the PIC immunobrush beads produced large amounts of these
cytokines (Figure e,f). Together, these results indeed indicate that the brush design
and ligand mobility are important factors in the observed increase
in T cell activation after PIC bead stimulation.
PIC Immunobrush Beads Effectively Stimulate
T Cells
Having established the importance of the brush design
of our PIC beads and the benefits for T cell activation, we next optimized
the ratio of the αCD3 and αCD28 antibodies conjugated
to the PIC immunobrush. This parameter is known to affect T cell activation.[17,48] A series of Ab beads and PIC immunobrush beads with αCD28/αCD3
ratios between 0.3 and 5 were prepared (Table S1 for all formulations). Human T cells were stimulated with
one bead per cell ratio for both Ab beads and PIC beads. No significant
differences in the proliferation of T cells after 3 days of culture
was observed between the different αCD28/αCD3 ratios,
independent of the platform used, with a maximum proliferation rate
already reached at the lowest αCD28/αCD3 ratio for both
Ab beads and PIC beads (Figure S3a). By
contrast, PIC beads induced much higher amounts of cytokines (IFNγ
and IL-2) over the full range of ratios, compared to the Ab beads
(Figure a,b). Although
a maximum cytokine secretion was reached at 0.75 (IFNγ) and
1.4 (IL-2) αCD28/αCD3 ratios for both Ab and PIC beads,
the plateau secretion levels for IFNγ and IL-2 were 1.9- and
4.5-fold higher for PIC beads, respectively. Based on these results
we selected αCD28/αCD3 ratios higher than 2.5 for further
experiments to guarantee robust and reproducible T cell stimulation
and cytokine production.
Figure 2
Influence of αCD28/αCD3 ratio and
density. (a, b) IFNγ
and IL-2 concentrations in the supernatant of T cells stimulated with
Ab or PIC beads with different αCD28/αCD3 ratios after
24 h of culture n = 3 in two independent experiments.
(c, d) IFNγ and IL-2 concentrations in the supernatant of T
cells stimulated with Ab or PIC beads with different total antibody
densities after 24 h of culture n = 4 and 3, respectively,
in two independent experiments. (e) Percentage of IFNγ producing
T cells after 7 days of culture with Ab or PIC beads over a full range
of antibody densities. (f) Mean fluorescence intensities (MFI) of
IFNγ produced by T cells after 7 days of culture with Ab or
PIC beads over a full range of antibody densities. (g) Percentage
of IL-2 producing T cells after 7 days of culture with Ab or PIC beads
over a full range of antibody densities. (h) Mean fluorescent intensities
(MFI) of IL-2 produced by T cells after 7 days of culture with Ab
or PIC beads over a full range of antibody densities n = 2 in one independent experiment for (e)–(h).
Influence of αCD28/αCD3 ratio and
density. (a, b) IFNγ
and IL-2 concentrations in the supernatant of T cells stimulated with
Ab or PIC beads with different αCD28/αCD3 ratios after
24 h of culture n = 3 in two independent experiments.
(c, d) IFNγ and IL-2 concentrations in the supernatant of T
cells stimulated with Ab or PIC beads with different total antibody
densities after 24 h of culture n = 4 and 3, respectively,
in two independent experiments. (e) Percentage of IFNγ producing
T cells after 7 days of culture with Ab or PIC beads over a full range
of antibody densities. (f) Mean fluorescence intensities (MFI) of
IFNγ produced by T cells after 7 days of culture with Ab or
PIC beads over a full range of antibody densities. (g) Percentage
of IL-2 producing T cells after 7 days of culture with Ab or PIC beads
over a full range of antibody densities. (h) Mean fluorescent intensities
(MFI) of IL-2 produced by T cells after 7 days of culture with Ab
or PIC beads over a full range of antibody densities n = 2 in one independent experiment for (e)–(h).Next, the effect of antibody density was investigated, which
is
another main parameter that affects T cell activation.[38,49] To this end, we synthesized Ab beads and PIC immunobrush beads with
a fixed αCD28/αCD3 ratio of around 3, but varied the density
of the antibodies on the beads. The density was controlled by addition
of variable amounts of either biotinylated αCD28/αCD3
to obtain Ab beads, or DBCO-functionalized αCD28/αCD3
coupled to biotinylated brush PIC to generate PIC immunobrush beads
(Table S1). Stimulation of T cells with
both types of beads reached the same level of maximum proliferation
(Figure S3b). The PIC beads, however, reached
this maximum at lower antibody densities (3.5 instead of 22 ng antibody
per million beads). For the IFNγ and IL-2 production (Figure c,d), a higher maximum
was observed for the PIC immunobrush beads, which was reached at lower
antibody densities compared to Ab beads. Altogether, these data demonstrate
that αCD3/αCD28 PIC immunobrush beads outperform Ab beads,
requiring considerably less antibodies to achieve robust T cell activation
with higher levels of cytokine production.To investigate the
origin of the increased cytokine levels induced
by PIC immunobrush beads, we performed intracellular cytokine staining
on T cells to determine cytokine production at the single-cell level
by flow cytometry. We observed that PIC beads induced a higher percentage
of IFNγ-positive T cells in comparison to Ab bead stimulated
T cells (Figure e).
In contrast, the amount of IFNγ as measured by the mean fluorescence
intensity (MFI) produced by individual T cells is similar for both
Ab and PIC beads (Figure f), indicating that the higher IFNγ levels observed
in the culture supernatant are a result of the induction of a larger
population of IFNγ-producing cells. Interestingly, for IL-2,
the situation is inverse. Here, no clear differences in the percentage
of IL-2 producing T cells are found between stimulation with Ab or
PIC beads for all tested densities (Figure g), but an approximately 2-fold higher IL-2
MFI was measured in T cells stimulated with PIC beads (Figure h). These findings indicate
that activation of T cells via PIC immunobrushes affects the production
of the different cytokines via different mechanisms.
Ex Vivo Polyclonal Expansion of Primary Human
T Cells
Having determined the optimal parameters for our
PIC immunobrush bead design (αCD28/αCD3 ratios higher
than 2.5, and a minimal antibody density of around 12 ng/million beads),
we next evaluated their capability to expand T cells according to
a clinically used protocol. CD3/CD28 Dynabeads and T Cell TransAct
are two systems that are frequently used for ex vivo expansion of T cells for adoptive T cell therapies in the clinic.
The CD3/CD28 Dynabeads are 4.5 μm magnetic beads equipped with
αCD3 and αCD28 antibodies, whereas T Cell TransAct is
a colloidal polymeric nanomatrix conjugated to humanized αCD3
and αCD28.[50] We compared these two
systems to our PIC beads with optimized αCD28/αCD3 ratio
and density (Table S1) for their T cell
expansion performance. For the commercial systems, manufacturer protocols
were followed to ensure optimal conditions. In addition, T cell cultures
were supplemented with IL-2 (30 IU/mL). After 1 day of culture, PIC
beads and Dynabeads induced a large (>80%) population of CD69+CD25+ T cells, indicating that T cells are activated
(Figure S4). By contrast, stimulation with
T Cell TransAct only led to 50% of CD69+CD25+ T cells (Figure S4). In line with our
previous findings, PIC beads induced high amounts of IFNγ in
the supernatant after 1 day of culture, whereas T cells stimulated
with CD3/CD28 Dynabeads or T Cell TransAct secreted much less cytokine
(Figure a). PIC beads
and Dynabeads, but not T Cell TransAct, induced high production of
IL-2 by the T cells (Figure b). All systems induced robust proliferation and high viability
of T cells compared to unstimulated cells after 3 days, although stimulation
with PIC beads and Dynabeads induced the highest proliferation in
terms of the proportion of T cells that divided and their average
numbers of cycles (Figures c, S5, and S6). After 14 days of
culture, all three systems induced robust expansion, with a 75-fold
expansion of T cells for the PIC beads, on par with T Cell TransAct
and greater than Dynabeads in our hands (Figure d). Considering that the amount of stimulating
antibodies per bead is far greater on the Dynabeads versus the PIC
beads (∼45031vs 13 ng/bead), this
difference is remarkable and shows the importance of the method of
presentation of T cell activating signals.
Figure 3
Polyclonal ex
vivo expansion of human T cells.
(a, b) IFNγ and IL-2 concentrations in the supernatant of human
T cells stimulated with different expansion systems after 1 day, respectively; n = 8 in four independent experiments. Data were analyzed
with an RM one-way ANOVA with Geisser–Greenhouse correction,
followed by Dunnett’s multiple comparison test. (c) Mean cell
cycle of proliferated T cells on day 3, stimulated with PIC beads,
Dynabeads, or T Cell TransAct; n = 6 (T cell transact)
in three independent experiments or n = 8 (all others)
in four independent experiments. Data were analyzed using a mixed-effects
analysis, with the Geisser–Greenhouse correction, followed
by Dunnett’s multiple-comparisons test (d) fold expansion of
Pan T cells after 7 and 14 days of culture. Fold expansion was calculated
relative to the number of T cells put into the wells on day 0 (50.000); n = 4 (T cell Transact) or n = 5 (all others)
in two independent experiments. Significance was analyzed with an
RM two-way ANOVA followed by Sidak’s multiple-comparisons test
on log2-transformed data.
Polyclonal ex
vivo expansion of human T cells.
(a, b) IFNγ and IL-2 concentrations in the supernatant of human
T cells stimulated with different expansion systems after 1 day, respectively; n = 8 in four independent experiments. Data were analyzed
with an RM one-way ANOVA with Geisser–Greenhouse correction,
followed by Dunnett’s multiple comparison test. (c) Mean cell
cycle of proliferated T cells on day 3, stimulated with PIC beads,
Dynabeads, or T Cell TransAct; n = 6 (T cell transact)
in three independent experiments or n = 8 (all others)
in four independent experiments. Data were analyzed using a mixed-effects
analysis, with the Geisser–Greenhouse correction, followed
by Dunnett’s multiple-comparisons test (d) fold expansion of
Pan T cells after 7 and 14 days of culture. Fold expansion was calculated
relative to the number of T cells put into the wells on day 0 (50.000); n = 4 (T cell Transact) or n = 5 (all others)
in two independent experiments. Significance was analyzed with an
RM two-way ANOVA followed by Sidak’s multiple-comparisons test
on log2-transformed data.
Phenotype and Function of Ex Vivo Expanded Human T Cells
Next, we evaluated the phenotype
and function of the T cells expanded with PIC immunobrush beads, Dynabeads,
or T Cell TransAct. First, the ratio of CD4+ and CD8+ cells was determined on different days during the 14 days
of culture. In the first week of culture, no differences in the CD4/CD8+ ratio were observed irrespective of the type of stimulation
(ratio of 2), but after 10 days, the population of T cells treated
with PIC beads or Dynabeads was skewed towards CD8+ cells
(ratio, 0.3–0.4) (Figure a). Treatment with T Cell TransAct yielded similar
numbers of CD4+ and CD8+ T cells (ratio 0.9)
on day 14.
Figure 4
Phenotype and function of human T cells expanded with PIC immunobrush
beads on day 14. (a) Ratio of CD4+–CD8+ human T cells after expansion n = 2–5 in
one or two independent experiments. Data were analyzed using a mixed-effects
model, followed by a Dunnett’s multiple-comparisons test on
log2-transformed data. (b, c) CD4+ and CD8+ differentiation
of human T cells in to different memory subsets after expansion with
PIC beads, Dynabeads, or T Cell TransAct, respectively; n = 2 in one independent experiment. (d) CD4+ and (e) CD8+ cytotoxic character of human T cells after expansion; n = 5 in two independent experiments. Statistics: CD4+ T cells: CD107–GZMB+ PIC beads vs Dynabeads p < 0.05. CD8+ T cells: CD107–GZMB– PIC beads vs Dynabeads p < 0.05, CD107–GZMB+ PIC beads vs T cell Transact p < 0.01, CD107+GZMB+ PIC beads vs T cell Transact p < 0.05. (f, g)
CD4+ and CD8+ exhaustion character of human
T cells after expansion, respectively; n = 5 in two
independent experiments. Statistics: CD4+ T cells: PD-1–TIM3– PIC beads vs T cell Transact p < 0.01, PD-1–TIM3+ PIC beads vs T cell Transact p < 0.05, PD-1+TIM-3+ PIC vs T cell Transact p < 0.01. CD8+ T cells: PD-1–TIM3+ PIC beads vs T cell Transact p < 0.01, PD-1+TIM3+ PIC vs T cell Transact p < 0.01. (h, i) Intracellular expression of 0, 1, 2,
or 3 cytokines (IL-2, IFNγ and/or TNFα) in CD4+ (h) and CD8+ (i) T cell; n = 5 in two
independent experiments. Statistics: CD4+ T cells: three
markers PIC vs Dynabeads p <
0.05. CD8+ T cells: 1 marker PIC vs T
cell Transact p < 0.05, 0 markers PIC vs T cell Transact p < 0.05. (b–i)
Significance was analyzed with an RM two-way ANOVA with Geisser–Greenhouse
correction, followed by Dunnett’s multiple-comparisons test.
Phenotype and function of human T cells expanded with PIC immunobrush
beads on day 14. (a) Ratio of CD4+–CD8+ human T cells after expansion n = 2–5 in
one or two independent experiments. Data were analyzed using a mixed-effects
model, followed by a Dunnett’s multiple-comparisons test on
log2-transformed data. (b, c) CD4+ and CD8+ differentiation
of human T cells in to different memory subsets after expansion with
PIC beads, Dynabeads, or T Cell TransAct, respectively; n = 2 in one independent experiment. (d) CD4+ and (e) CD8+ cytotoxic character of human T cells after expansion; n = 5 in two independent experiments. Statistics: CD4+ T cells: CD107–GZMB+ PIC beads vs Dynabeads p < 0.05. CD8+ T cells: CD107–GZMB– PIC beads vs Dynabeads p < 0.05, CD107–GZMB+ PIC beads vs T cell Transact p < 0.01, CD107+GZMB+ PIC beads vs T cell Transact p < 0.05. (f, g)
CD4+ and CD8+ exhaustion character of human
T cells after expansion, respectively; n = 5 in two
independent experiments. Statistics: CD4+ T cells: PD-1–TIM3– PIC beads vs T cell Transact p < 0.01, PD-1–TIM3+ PIC beads vs T cell Transact p < 0.05, PD-1+TIM-3+ PIC vs T cell Transact p < 0.01. CD8+ T cells: PD-1–TIM3+ PIC beads vs T cell Transact p < 0.01, PD-1+TIM3+ PIC vs T cell Transact p < 0.01. (h, i) Intracellular expression of 0, 1, 2,
or 3 cytokines (IL-2, IFNγ and/or TNFα) in CD4+ (h) and CD8+ (i) T cell; n = 5 in two
independent experiments. Statistics: CD4+ T cells: three
markers PIC vs Dynabeads p <
0.05. CD8+ T cells: 1 marker PIC vs T
cell Transact p < 0.05, 0 markers PIC vs T cell Transact p < 0.05. (b–i)
Significance was analyzed with an RM two-way ANOVA with Geisser–Greenhouse
correction, followed by Dunnett’s multiple-comparisons test.After 14 days of culture T cells, the memory phenotype
of the T
cells was determined according to the linear T cell differentiation
model, which assumes that T cells linearly progress from naïve
T cells (Tn) into T stem cell memory (Tscm), T central memory (Tcm),
T effector memory (Tem), and finally T terminal effector (Tte) cells
(Figure S7).[51] During this progression, T cells lose self-renewal potential but
gain effector functions. CD4+ T cells stimulated with PIC
beads induced a Tte phenotype in about 55% of the cells, but also
significant Tscm and Tem populations (both ∼20%) were observed.
Dynabead stimulation led to a comparable differentiation of CD4+ T cells, with a bit less (∼45%) Tte cells. On the
other hand, T Cell TransAct led to the predominant formation of a
Tte population of around 75% for the CD4+ T cells (Figure b). PIC bead stimulation
of CD8+ T cells led to a population of ∼75% Tem
and ∼20% Tte cells. For Dynabeads, a slightly smaller Tem population
of ∼65% and similar amounts of Tte T cells (∼25%) were
observed compared to stimulation with PIC beads. As for the CD4+ T cells, stimulation with T Cell TransAct led to mostly CD8+ T cells with a Tte phenotype (∼65%) and less Tem cells
(∼10%) (Figure c). These data indicate that T cells stimulated with either PIC beads
or Dynabeads progress into less differentiated states compared to
T cells stimulated with T Cell TransAct. This behavior potentially
has important consequences, as less differentiated cells tend to have
a higher proliferative capacity and improved persistence after adoptive
cell transfer in vivo.[52]To determine the potential cytotoxic capacity of the generated
T cells, we analyzed the upregulation of CD107a and Granzyme B, well-known
markers for cytotoxic potential (Figure S8). We observed after 14 days of culture that a large proportion of
both CD4+ T cells (Figure d) and CD8+ T cells (Figure e) co-expressed CD107a and granzyme B after
stimulation with PIC beads, CD3/CD28 Dynabeads, or T Cell TransAct.
This finding indicates that all three systems are capable of inducing
T cells with a cytotoxic phenotype, although T cell TransAct induced
a slightly higher cytotoxic population, in line with their more pronounced
Tte phenotype.Next, we evaluated the degree of T cell exhaustion,
a loss of effector
functions due to T cell overstimulation, by analyzing the upregulation
of immune checkpoint proteins programmed cell death protein 1 (PD-1)
and T cell immunoglobulin mucin-3 (TIM3) after 14 days (Figure S9). Although PD-1 and TIM3 can be viewed
as activation markers because they are upregulated rapidly on activated
T cells following stimulation, they are considered as markers for
exhausted T cells when they remain high on stimulated T cells for
a prolonged period of time. Co-expression of multiple exhaustion markers
can indicate dysfunctional T cell behavior.[53] CD4+ T cells co-cultured with T Cell TransAct showed
the highest proportion of PD-1+TIM3+ T cells
(12.5%), suggesting that a more exhausted phenotype is induced in
CD4+ T cells than PIC beads or Dynabeads (Figure f). Similarly, for CD8+ T cells, T Cell TransAct also induced the highest proportion
of cells with an exhaustion phenotype, as we observed that only ∼60%
of CD8+ T cells stimulated with T Cell TransAct were PD-1–TIM3–, in contrast to around 90%
for T cells stimulated with either PIC beads or Dynabeads (Figure g).Finally,
we examined the intracellular production of cytokines
IL-2, IFNγ, and TNFα in restimulated T cells on day 14
as a measure of their effector function (Figure S10). Even though T cells stimulated with T Cell TransAct displayed
a higher proportion of PD-1+TIM3+ cells, a significant
proportion of both CD4+ (Figures h and S11a) and
CD8+ (Figures i and S11b) T cells co-produced
all three of these cytokines following stimulation with PIC beads,
Dynabeads, and T Cell TransAct. These data suggest that all three
of these systems are capable of generating functional T cells with
cytokine-producing capabilities.
Discussion
The synthesis and characterization of PIC immunobrush beads functionalized
with T cell stimulating antibodies (αCD3/αCD28) are reported.
This novel semiflexible polymer brush surface aAPC platform results
in more efficient activation of T cells compared to aAPCs with a similar
core but with the antibodies directly attached to the bead surface
instead. We have shown that T cell expansion is highly dependent on
the characteristics of the material that delivers the activation cues
to the T cells and that the brush orientation of the CD3/CD28 PIC
attached to the bead is crucial for the increased T cell activation.
Hypothetically, the brush design results in a better mimic of the
natural dendritic cell–T cell interaction. In contrast to many
other aAPCs used[54−58] to induce T cell activation and proliferation, the semiflexible
brush beads support movement and lateral rearrangement of receptors
over the membrane of T cells, thereby facilitating receptor clustering.
This reorganization of receptors and subsequent downstream signaling
are of utmost importance to obtain optimal T cell activation.[45,59−61] Additionally, the antibodies bound to the PIC immunobrush
will deliver a different mechanical signal to the T cell compared
to antibodies directly attached to the rigid core of a static bead.
The semiflexible nature of the polymer might play a big role here
as it is known that (local) mechanical cues can greatly influence
T cell activation.[32,62] Very soft substrates (≤0.5
Pa)[62] do result in lower T cell activation
as well as very stiff substrates (>2 MPa),[63] which indicates that there is an optimal range of stiffnesses where
T cell activation is highest. With the semiflexible character of the
polymer, we most likely are in this optimal range. This notion is
supported by the finding that expansion of T cells stimulated with
αCD3/αCD28 functionalized “soft” beads was
higher compared to treatment with more rigid Dynabeads.[64,65] This result is in line with our findings where T cells stimulated
with PIC immunobrush beads proliferated and expanded much better compared
to T cells stimulated with rigid beads. These characteristics could
also be the basis for the observation that coupling αCD3 and
αCD28 antibodies to PIC immunobrushes led to lower antibody
density thresholds to achieve full T cell activation compared to rigid
scaffolds. In line with this, our PIC immunobrush beads required 34-fold
less antibody compared to Dynabeads to obtain higher numbers of expanded
T cells. The density and ratio of the αCD3/αCD28 antibodies
on aAPCs have been shown to be important design parameters influencing
T cell activation.[66,67] The semiflexible nature of the
brush could result in an increased effective multivalency with a higher
effective number of antibodies bound to the T cells.[38]Furthermore, we observed a dramatic increase in cytokine
secretion
by T cells stimulated with PIC immunobrush beads. While the detected
amounts of both secreted IFNγ and IL-2 were higher, the origins
of the increased concentrations are different. Compared to stimulation
with Ab beads, the number of IFNγ producing T cells is increased,
while for IL-2, the number of producing T cells is similar, but rather
the amount of cytokine produced per cell is enhanced. This contradicts
previous work that describes the digital secretion of IL-2 by CD4+ T cells triggered by a single peptide major histocompatibility
complex (pMHC) ligand. Increasing the number of pMHC did not lead
to increased IL-2 secretion per cell but instead enhanced the proportion
of responding T cells.[68] This might suggest
that an alternative mechanism is engaged with respect to IL-2 production
following polyclonal stimulation of T cells with PIC beads compared
to antigen-specific stimulation using soluble pMHC. As such, a more
in-depth analysis, for example, by looking at the (mechanical) signaling
pathways that lead to cytokine production, is needed to determine
the mechanism behind this finding.The developed PIC immunobrush
beads were benchmarked against two
frequently used products for ex vivo expansion of
T cells for clinical adoptive therapies, namely, CD3/CD28 Dynabeads
and T Cell TransAct. Compared to Dynabeads, our platform resulted
in 50% more expanded T cells, remarkedly with only 3% of the amount
of antibody present on Dynabeads.[31] This
larger population of expanded T cells activated with our PIC immunobrush
beads showed a phenotype and potential functionality—as judged
by cytotoxic markers, cytokine production, and exhaustion markers—similar
to T cells expanded with Dynabeads, showing the potential of our system.
T Cell TransAct induced a more differentiated, terminal effector phenotype,
which is considered to be less favorable, as it is shown before that
less differentiated cells persist and proliferate more after adoptive
cell transfer in vivo.[52]Our platform is highly modular and not limited to microbeads,
PICs,
or αCD3/αCD28. Previously we successfully coupled different
cytokines and biomolecules to the PICs,[38,39] and a next
step would be the incorporation of peptide major histocompatibility
complex (MHC) complexes for the antigen-specific expansion of rare
T cell populations. Furthermore, we have shown before that PICs can
be easily coupled to different types of scaffolds such as nanoparticles
or flat surfaces.[41] Finally, other types
of flexible and semiflexible polymers could be used as brushes to
investigate the effect of polymer stiffness on T cell activation.
Conclusions
In summary, here, we developed T cell activating
PIC polymer immunobrush
magnetic beads as a potent addition to the aAPC arsenal. This approach
synergizes the best of two worlds, being the enhanced T cell activating
capacity of agonistic antibodies conjugated to semiflexible PIC polymers,
with the reported optimal size (4.5 μm) and ease of purification
of the magnetic beads. We demonstrate that the brush architecture
is crucial for the T cell activating capacity. The PIC immunobrush
beads induced high ex vivo expansion of functional
T cells with low numbers of stimulating antibodies and outperformed
current benchmarks by producing higher numbers of cells exhibiting
a combination of beneficial phenotypic characteristics, such as reduced
expression of exhaustion markers, high cytokine production, and robust
expression of cytotoxic hallmarks. The ex vivo expansion
of T cells is an important process in many immunotherapies, including
adoptive T cell transfer. Several types of materials functionalized
with biomolecules to activate and expand T cells have been developed
and are being evaluated in clinical trials. Therefore, our PIC immunobrush
strategy could contribute in making T cell-based immunotherapies more
effective. Furthermore, our platform is highly modular, not restricted
to beads, antibodies or even PICs and consequently of interest to
the broader materials science community.
Authors: Jun Huang; Mario Brameshuber; Xun Zeng; Jianming Xie; Qi-jing Li; Yueh-hsiu Chien; Salvatore Valitutti; Mark M Davis Journal: Immunity Date: 2013-10-10 Impact factor: 31.745
Authors: Niels Junker; Mads Hald Andersen; Lynn Wenandy; Sarah Louise Dombernowsky; Katalin Kiss; Christian Hjort Sørensen; Marianne Hamilton Therkildsen; Christian Von Buchwald; Elo Andersen; Per Thor Straten; Inge Marie Svane Journal: Cytotherapy Date: 2011-03-24 Impact factor: 5.414
Authors: Dion Voerman; Marjolein Schluck; Jorieke Weiden; Ben Joosten; Loek J Eggermont; Tuur van den Eijnde; Bob Ignacio; Alessandra Cambi; Carl G Figdor; Paul H J Kouwer; Martijn Verdoes; Roel Hammink; Alan E Rowan Journal: Biomacromolecules Date: 2019-06-13 Impact factor: 6.988
Authors: Randall A Meyer; Joel C Sunshine; Karlo Perica; Alyssa K Kosmides; Kent Aje; Jonathan P Schneck; Jordan J Green Journal: Small Date: 2015-01-12 Impact factor: 13.281