Philippa Mitchell1, Stefano Tommasone1, Stefano Angioletti-Uberti2, James Bowen3, Paula M Mendes1. 1. School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom. 2. Faculty of Engineering, Department of Materials, Imperial College London, London SW7 2AZ, United Kingdom. 3. Faculty of Science, Technology, Engineering & Mathematics, The Open University, Milton Keynes MK7 6AA, United Kingdom.
Abstract
Since glycoproteins have become increasingly recognized as key players in a wide variety of disease processes, there is an increasing need for advanced affinity materials for highly selective glycoprotein binding. Herein, for the first time, a surface-initiated controlled radical polymerization is integrated with supramolecular templating and molecular imprinting to yield highly reproducible synthetic recognition sites on surfaces with dissociation constants (K D) in the low micromolar range for target glycoproteins and minimal binding to nontarget glycoproteins. Importantly, it is shown that the synthetic strategy has a remarkable ability to distinguish the glycosylated and nonglycosylated forms of the same glycoprotein, with a >5-fold difference in binding affinity. The precise control over the polymer film thickness and positioning of multiple carbohydrate receptors plays a crucial role in achieving an enhanced affinity and selectivity. The generated functional materials of unprecedented glycoprotein recognition performance open up a wealth of opportunities in the biotechnological and biomedical fields.
Since glycoproteins have become increasingly recognized as key players in a wide variety of disease processes, there is an increasing need for advanced affinity materials for highly selective glycoprotein binding. Herein, for the first time, a surface-initiated controlled radical polymerization is integrated with supramolecular templating and molecular imprinting to yield highly reproducible synthetic recognition sites on surfaces with dissociation constants (K D) in the low micromolar range for target glycoproteins and minimal binding to nontarget glycoproteins. Importantly, it is shown that the synthetic strategy has a remarkable ability to distinguish the glycosylated and nonglycosylated forms of the same glycoprotein, with a >5-fold difference in binding affinity. The precise control over the polymer film thickness and positioning of multiple carbohydrate receptors plays a crucial role in achieving an enhanced affinity and selectivity. The generated functional materials of unprecedented glycoprotein recognition performance open up a wealth of opportunities in the biotechnological and biomedical fields.
Glycoproteins make
up the majority of human proteins, with many
having a close association with disease progression.[1−3] Therefore, the recognition and quantification of glycoproteins are
of paramount importance for a variety of research purposes and practical
applications, including life sciences and medical research, clinical
diagnostics, medical devices, and imaging.[4−7] However, major challenges remain
regarding their specific recognition and in particular how the structural
features of both the protein and glycan parts of the glycoprotein
can be simultaneously recognized to maximize selectivity.[8,9]Antibodies raised against glycoproteins are typically specific
for the protein units,[10] which are recognized
irrespective of the presence or not of particular glycan structures.
On the other hand, lectins act as affinity tools for glycans, even
if they are limited in terms of their ability to recognize a full
glycan structure,[11] but are not able to
provide structural information about the protein unit of the glycoprotein.
Considering these limitations in biological recognition materials,
there is considerable motivation and opportunities to develop synthetic
materials capable of highly specific molecular recognition for such
challenging macromolecular targets.Molecular imprinting (MI),[12,13] which involves a process
of template-induced formation of molecular cavities featuring recognition
sites in a material, emerges as a very important concept to meet such
a major challenge. In MI, the synthetic receptors used to construct
the recognizing sites into the imprinted cavity play a key role in
promoting target affinity and selectivity via the formation of multiple
interactions, including covalent bonding, hydrogen bonding, electrostatic,
hydrophobic, and van der Waals interactions.[14−16] By virtue of
their ability to covalently and reversibly bind with diols of carbohydrates,[17−20] boronic acid (BA) entities emerged as front-runners to act as synthetic
receptors for glycoprotein recognition at imprinted cavities.Earlier attempts to prepare synthetic recognition systems for glycoproteins
on material surfaces using MI and BA-based carbohydrate receptors
left significant room for improvement in terms of meeting the requirements
of high selectivity and high affinity.[21−24] To date, two main MI pathways
have been adopted. One strategy is based on glycoprotein immobilization
on a BA-terminated monolayer, upon which a polymer network is formed
around the template glycoprotein.[21−23] Since the carbohydrate
receptors are arranged in a monolayer fashion, glycan binding to the
boronic acid-terminated monolayers occurs randomly. The strategy can,
thus, potentially promote nonspecific binding from other glycoproteins.
The other strategy relies on an initial glycoprotein/BA complex formation,
followed by fixation of the complex on the surface and construction
of a molecular scaffold around the glycoprotein template.[24] Although this is an attractive method to form
specific glycoprotein glycan binding, the drawback is that the spatial
arrangement of the carbohydrate receptors occurs in a two-dimensional
display.[24] Thus, while these strategies
yielded surfaces with important glycoprotein binding properties, the
glycoprotein selectivity is limited by the degree of molecular manipulation
that can be achieved to create a well-defined carbohydrate receptor
pattern that is complementary to the glycoprotein template.In the context of creating highly selective imprinted glycoprotein
cavities on surfaces, strategies that are amenable to a three-dimensional
(3D) display of the carbohydrate receptors are particularly appealing
since they can more closely create a sterically and chemically complementary
cavity to the natural 3D glycan structure. With this proviso in mind,
herein, we demonstrate a surface imprinting methodology that meets
these criteria by relying on the precomplexation of BA-based carbohydrate
receptors with the target glycoprotein and atom transfer radical polymerization
(ATRP), which enables precise control over the surface macromolecular
structure and functionality (Figure ).[25]
Figure 1
A schematic (not to scale)
illustration of the molecular imprinting
process involving precomplexation of BA-based carbohydrate receptors
with the target glycoprotein and surface-initiated ATRP polymerization
to form highly selective molecular cavities on surfaces for glycoprotein
recognition.
A schematic (not to scale)
illustration of the molecular imprinting
process involving precomplexation of BA-based carbohydrate receptors
with the target glycoprotein and surface-initiated ATRP polymerization
to form highly selective molecular cavities on surfaces for glycoprotein
recognition.Our modular strategy
involves four main steps: (1) functionalization
of a gold surface with an ATRP initiator-terminated SAM; (2) formation
of a high order BA/glycoprotein complex using protein compatible conditions;
(3) surface-initiated highly controlled ATRP polymerization in the
presence of the preformed BA/glycoprotein complexes to create glycoprotein
glycan-specific 3D interaction sites within ultrathin, imprinted polymer
films; (4) following formation of the well-controlled molecular cavities,
the glycoprotein template can be easily removed by washing with an
elution buffer due to the reversible nature of the BA/diol interactions.[24,26] This strategy provides the ability to achieve surface binding sites,
which are complementary not only to the glycoprotein template in
their size and shape but also to the very specific orientation and
sugar sequence of the glycoprotein glycan. This latter recognition
mode is facilitated by the initial generation of a BA/glycoprotein
complex (step 2), in which the spatial arrangement of the multiple
BA receptors in the complex is preserved upon surface incorporation
via surface-initiated ATRP polymerization (step 3). Because of the
characteristic feature of a glycoprotein glycan, i.e., one glycan
bears multiple hydroxyl groups, multiple BAs anchored at appropriate
positions in the recognition cavities interact synergistically with
a glycoprotein glycan to promote affinity and selectivity. RNase B,
which comprises a single glycosylated site with five diverse high-mannoseglycans, is chosen as our model glycoprotein template to form the
imprinted molecular cavities. The nonglycosylated RNase form, RNase
A, and two highly glycosylated glycoproteins, α1-acid glycoprotein
and horseradish peroxidase, are employed as controls to demonstrate
selectivity. The chosen control proteins provide a range of sizes,
charges, and percentages of glycosylation (Table S1) to give a representative selection of different properties
that can contribute to the binding response.
Results and Discussion
The ATRP initiator-terminated SAMs were formed using a synthesized
disulfide functionalized with tert-butyl bromide
ATRP initiators, 11,11′-dithiobis[1-(2-bromo-2-methylpropionyloxy)undecane]
(11-DTMBD) (see the Supporting Information for details on the synthesis of 11-DTMBD and characterization).
The 11-DTMBD SAMs were created by first cleaning gold substrates using
piranha solution for 10 min, following which they were immersed in
a 1 mM ethanolic solution of 11-DTMBD for 24 h. In order to confirm
the formation of a high-quality 11-DTMBD monolayer, contact angle,
ellipsometry, and X-ray photoelectron spectroscopy (XPS) analysis
were performed. The 11-DTMBD SAM has an advancing contact angle of
73.0 ± 1.8° and receding contact angle of 61.8 ± 2.1°,
agreeing well with the presence of a tert-butyl bromide-terminated
monolayer.[27] The contact angle hysteresis
(the difference between the advancing and receding angles) of 11.2°
indicates the presence of a packed monolayer. The ellipsometric thickness
observed for the 11-DTMBD derived SAMs is 1.7 ± 0.1 nm, which
is less than the theoretical molecular length of the 11-DTMBD moiety
as determined from ChemDraw3D, i.e., 1.9 nm. The difference between
molecular length and SAM thickness is attributed to the tilt angle
of the SAM molecules.[28,29]XPS was employed to study
the elemental composition of the 11-DTMBD
SAM. As anticipated, the high-resolution scans confirmed the presence
of all of the expected elements, showing signals from S (2p), C (1s),
O (1s), and Br (3d) (Figure ).
Figure 2
High-resolution XPS spectra of (a) S (2p), (b) C (1s), (c) O (1s),
and (d) Br (3d) of the 11-DTMBD SAM.
High-resolution XPS spectra of (a) S (2p), (b) C (1s), (c) O (1s),
and (d) Br (3d) of the 11-DTMBD SAM.The S (2p) spectra reveals two doublet peaks, with the doublet
peak at a lower binding energy, indicating that the sulfur is chemisorbed
on the gold surface.[30,31] The second doublet, weaker and
at a higher binding energy, is ascribed to the S—H bonds, indicating
the presence of some unbound sulfur.[31] No
oxidized sulfur is observed, as demonstrated by the absence of sulfur
peaks above 166 eV. An analysis of the C (1s) spectra shows four carbon
environments consistent with C—C, C—Br, C—O,
and C=O. Furthermore, the C=O bond was observed in the
O (1s) spectra at a binding energy of 533.3 eV alongside the C—O
bond at 531.9 eV, which further indicates that the end groups of the
11-DTMBD molecule are present. This observation is further supported
by the high-resolution spectra of the Br (3d) that shows the presence
of the 3d5/2 and 3d3/2 peaks consistent with
the C—Br bond observed in the C (1s) spectra. Collectively,
the contact angle, ellipsometry, and XPS data are used to assess SAM
quality and to demonstrate the formation of a well-packed 11-DTMBD
SAM.After the formation of a well-ordered ATRP initiator-terminated
SAM, attention was turned toward the generation of very thin polymer
layers. The surface-initiated ATRP reactions from the 11-DTMBD SAMs
were undertaken using ethyl 2-bromoisobutyrate as the sacrificial
initiator, N,N′-methylenebis(acrylamide)
(MEBA) as the cross-linking monomer, 2,2′-bipyridyl as the
ligand, and an optimized 1:1.5 ratio of Cu(I)Br/Cu(II)Br as the catalyst. Figure shows the thickness
of the poly(MEBA) surface as a function of time. The film thickness
increases with good reproducibility over the first 30 min and then
levels off with thickness values around 8 nm. Polymerization ceases
likely as a result of different processes, such as bimolecular reaction,[32] catalytic radical termination,[33] or migration–termination.[34] The trend in thickness growth over time is dependent on the ATRP
conditions, which affect the polymerization rate and cessation of
polymerization.[35−37] These results demonstrate that this system provides
elegant control over the thicknesses of the polymer layer and thus
can be used to reliably grow surface-confined ultrathin molecularly
imprinted polymer (MIP) films.
Figure 3
Kinetic study to monitor the rate of thickness
growth of MEBA over
2 h from a tert-butyl bromide initiator-terminated
surface using ATRP.
Kinetic study to monitor the rate of thickness
growth of MEBA over
2 h from a tert-butyl bromide initiator-terminated
surface using ATRP.Molecular imprinting
polymerization was performed by using RNase
B as the glycoprotein template, wherein BA derivatives were first
complexed with RNase B prior to the imprinting process. The BA derivative
(3-acrylamidophenyl boronic acid, APBA) contains an acrylamide moiety
for cross-linking with the tert-butyl bromide ATRP
initiator-terminated surface and the MEBA cross-linking monomer, thus
allowing for the 3D spatially controlled BA grafting within the imprinted
cavities. Complexation of RNase B with APBA was carried out using
75% (v/v) 10× PBS and 25% (v/v) MeOH at pH 8.6. The chosen alkaline
pH promotes the formation of stable cyclic esters between BAs and
the diols of the RNase B,[26] which comprises
high-mannose glycans. If other carbohydrate residues, such as sialic
acid, are also present on the glycan, the pH needs to be carefully
considered. Unlike other carbohydrates (e.g., mannose, glucose, galactose),
the binding between BAs and sialic acid is favored at an acidic to
physiological pH.[38]The MeOH was
introduced to circumvent the low aqueous solubility
of APBA. In order to establish that MeOH would not adversely affect
the native structure of the protein, circular dichroism (CD) studies
of RNase B were performed in different percentages of MeOH (i.e.,
0–50%). As illustrated in Figure S1, all of the CDs show a similar spectral shape, indicating that MeOH
does not cause any conformational changes to the tertiary structure
of the glycoprotein.The complexation and subsequent imprinting
were carried out using
different RNase B/APBA mole ratios, namely, 1:10, 1:15, and 1:20.
Molecular imprinting was performed by the concurrent polymerization
of the RNase B/APBA complex and MEBA monomer for 20 min. The different
ratios of the RNase B template to APBA receptors under investigation
(1:10, 1:15, and 1:20) allowed tuning the density of BAs in the imprinted
cavities, which in turn can have a strong influence on dictating the
binding affinity and selectivity of the RNase B-imprinted surface.
Binding studies on the molecularly imprinted surfaces as well as on
nonimprinted surfaces (i.e., the same protocol as that for imprinting,
including the presence of BAs, but without the RNase B as a template)
were conducted by surface plasmon resonance (SPR) spectroscopy. Briefly,
each protein was injected across the imprinted and nonimprinted surfaces
at a range of concentrations (i.e., 1.6–50 μM) and the
responses at equilibrium (Req) measured.
Following each injection, the surface was regenerated by an acidic
wash to remove the protein.As illustrated in Figure , all of the imprinted surfaces
preferentially captured RNase
B over the control proteins at all of the concentrations tested. For
each concentration, 2 measurements from 3 individual chips were taken
(n = 6), from which the average and standard deviation
values were then calculated. The small standard deviation associated
with RNase B binding into the imprinted surfaces illustrates that
the imprinting method can provide reproducible synthetic recognition
sites on surfaces. Furthermore, as shown in Table , the imprinted surfaces prepared from the
1:10 RNase B/APBA ratio provided the highest affinity and selectivity
for RNase B, with an impressive 4.5-fold selectivity over its nonglycosylated
homologue, and a >5.3-fold selectivity over other glycosylated
proteins.
These selectivity values are higher than those obtained for other
glycoprotein imprinting systems,[23,24] thus highlighting
the efficacy of the approach to fabricate imprinted cavities with
sugar recognition properties. The degree of selectivity is better
at a 1:10 RNase B/APBA ratio than at 1:15 and 1:20 ratios mostly due
to the fact that the RNase B binding affinity is slightly higher for
the 1:10 ratio. A possible explanation for a small decrease in affinity
to a higher APBA ratio could be steric hindrance caused by neighboring
APBA moieties that hamper the diol-BA binding.
Figure 4
Effect of the RNase B/APBA
ratio (1:10, 1:15, and 1:20) and protein
concentration on the Req of imprinted
poly(MEBA)-APBA surfaces and nonimprinted poly(MEBA)-APBA surfaces
to RNase B (black), RNase A (blue), α1-acid glycoprotein (green),
and HRP (red).
Table 1
KD for
Each of the Proteins for the Imprinted Poly(MEBA)-APBA Surfaces Formed
Using RNase B/APBA Ratiosa
KD (μM)
RNase B/APBA (1:10)
RNase B/APBA (1:15)
RNase B/APBA (1:20)
RNase B
14.2 ± 2.1
19.7 ± 2.1
23.0 ± 2.6
RNase A
63.3 ± 7.2
40.8 ± 3.7
60.6 ± 6.0
α1-acid
glycoprotein
105.4 ± 11.6
135 ± 11.2
217.3 ± 20.0
HRP
75.3 ± 8.5
69.9 ± 6.1
90.5 ± 8.6
The selectivity values of the
imprinted poly(MEBA)-APBA surfaces for RNase B with respect to RNase
A are shown at the bottom of the table.
Effect of the RNase B/APBA
ratio (1:10, 1:15, and 1:20) and protein
concentration on the Req of imprinted
poly(MEBA)-APBA surfaces and nonimprinted poly(MEBA)-APBA surfaces
to RNase B (black), RNase A (blue), α1-acid glycoprotein (green),
and HRP (red).The selectivity values of the
imprinted poly(MEBA)-APBA surfaces for RNase B with respect to RNase
A are shown at the bottom of the table.These results provide evidence that the contribution
to the binding
affinity from imprinted cavities arose from shape-matching and functional
interactions. Since RNase B and its nonglycan containing analogue
(RNase A) have similar dimensions and isoelectric points (Table S1) but very distinct binding affinities
(Table ), it is reasonable
to suggest that not as much shape-matching but RNase B-BA interactions
predominantly determine the overall binding strength of the imprinted
surfaces toward RNase B. Remarkably, despite the high percentage of
glycosylation on the two other glycoproteins (45% glycosylation for
α1-acid glycoprotein and 21% glycosylation for HRP) that could
enable their glycans to interact with the boronic acid moieties, weak
affinities were obtained. This behavior might be a result of a combination
of unmatched shape and unmatched spatial arrangement of the boron
monomers on the cavity. The low, similar nonspecific binding observed
on the nonimprinted surfaces for all of the proteins investigated
provide further evidence that the imprinting is responsible for the
observed selectivity. Overall, these findings suggest that the remarkable
recognition specificity of the imprinted surfaces toward RNase B can
be attributed to the precise control exerted by ATRP over the RNase
B/APBA complex immobilization that results in multiple BAs being anchored
in appropriate positions in the recognition cavity to interact specifically
with the target RNase B glycoprotein.In order to gain insights
on the effect of the layer thickness
on the binding properties of the imprinted cavities, the imprinted
surfaces described above that were produced with a 20 min polymerization
time and the optimum 1:10 RNase B/APBA ratio were compared with those
produced with shorter (10 min) and longer times (60 min). Figure a reports the ellipsometry
results for the three imprinted and nonimprinted polymerization times.
An increase in thickness of the imprinted surfaces is clearly observed
with an increase in polymerization time, in which the values are significantly
higher than those obtained for the nonimprinted surfaces. These results
highlight that the inclusion of the template protein is affecting
the polymerization process.[39] A plausible
explanation might be that the presence of the protein, which imparts
the polymeric growth around the template, lowers the termination rate
constant, resulting in the formation of a thicker layer.[40]
Figure 5
(a) Ellipsometry film thickness and (b) AFM average roughness
changes
of the imprinted and nonimprinted poly(MEBA)-APBA surfaces as a function
of the polymerization time.
(a) Ellipsometry film thickness and (b) AFM average roughness
changes
of the imprinted and nonimprinted poly(MEBA)-APBA surfaces as a function
of the polymerization time.Apart from differences in thickness, the imprinted and nonimprinted
surfaces are morphologically different as observed by atomic force
microscopy (AFM) (Figure S2). The presence
of the template protein during imprinting produced less smooth surfaces
and more pronounced three-dimensional structures due to the impressions
of the protein formed within the polymer matrices. The sequential
increase in the average surface roughness values (Ra) and the variation
of these values for the imprinted surfaces (Figure b) are in agreement with the ellipsometry
thickness trends obtained.The binding properties for the 10
and 60 min polymerized imprinted
and nonimprinted surfaces are summarized in Figure and Table , and it can be compared with those obtained for 20
min that are illustrated in Figure and Table . For the 10 min polymerized surfaces, the responses of both
surfaces to any of the proteins tested were relatively low and neither
the imprinted nor nonimprinted surfaces showed any discernible selectivity
for any one protein over another. As shown in Tables and 2, the 10 min
polymerized imprinted surfaces exhibit a much lower affinity toward
RNase B than the 20 min polymerized imprinted surfaces. Furthermore,
the errors associated with the binding affinities are significantly
higher, compared with the values obtained for 20 and 60 min, indicating
that the imprinting using shorter polymerization times results in
poorly controlled and unreproducible imprinted recognition sites.
Figure 6
Effect
of polimerization time (10 or 60 min) and protein concentration
on the Req of imprinted poly(MEBA)-APBA
surfaces and nonimprinted poly(MEBA)-APBA surfaces to RNase B (black),
RNase A (blue), α1-acid glycoprotein (green), and HRP (red).
A 1:10 RNase B/APBA ratio was used.
Table 2
KD for
Each of the Proteins for the Imprinted Poly(MEBA)-APBA Surfaces Formed
Using 1:10 RNase B/APBA Ratio and Either 10 or 60 min Polymerization
Timea
KD (μM)
polymerization
(10 min)
polymerization (60 min)
RNase B
85.3 ± 31.9
21.5 ± 4.6
RNase A
145.5 ± 52.9
61.6 ± 11.3
α1-acid glycoprotein
186.3 ± 67.1
123.3 ± 21.6
HRP
237.7 ± 85.0
77.4 ± 14.0
The selectivity values of the
imprinted poly(MEBA)-APBA surfaces for RNase B with respect to RNase
A are shown at the bottom of the table.
Effect
of polimerization time (10 or 60 min) and protein concentration
on the Req of imprinted poly(MEBA)-APBA
surfaces and nonimprinted poly(MEBA)-APBA surfaces to RNase B (black),
RNase A (blue), α1-acid glycoprotein (green), and HRP (red).
A 1:10 RNase B/APBA ratio was used.The selectivity values of the
imprinted poly(MEBA)-APBA surfaces for RNase B with respect to RNase
A are shown at the bottom of the table.The RNase B glycoprotein has dimensions of 3.8 nm
× 2.8 nm
× 2.2 nm, and the thickness obtained for the imprinted surfaces
using 10 min polymerization was 4.7 ± 0.9 nm. While the dimensions
of RNase B are closer to the film thickness, the results suggest that
the polymer layer is too thin to generate enough complementary BA
spatial arrangement for RNase B and/or enough depth for shape-matching.In comparison with the 20 min imprinted surfaces, the 60 min surfaces
likewise demonstrated that imprinting within this polymer matrix is
possible. As was observed for the 20 min nonimprinted surfaces, no
selectivity for any particular protein including RNase B is apparent
from the 60 min nonimprinted surfaces. However, the imprinted surfaces
exhibited selectivity for RNase B over all of the control proteins.
As with the 20 min imprinted surfaces, the sequential increase in
the response of the 60 min imprinted surfaces to increasing concentrations
of RNase B is observed, which indicates that cavities well-matched
to the structure and functionality of RNase B have been formed within
the polymer. Nevertheless, the 60 min imprinted surfaces achieve less
homogeneous recognition across different samples and also show a lower
selectivity for RNase B. The selectivity of the imprint for RNase
B over RNase A remained at 2.9-fold. Furthermore, the 60 min imprinted
surfaces exhibit a slightly lower affinity for RNase B in comparison
with the 20 min imprinted surfaces (KD of 21.5 μM vs 14.2 μM). The loss of selectivity and
affinity can be attributed to the thicker polymer layer of the 60
min imprinted surface that can potentially lead to imprinted sites
being “buried” deep within the polymer layer, hindering
their accessibility and recognition properties. These findings establish
that the thickness of the imprinting layer is critical for the binding
properties of the imprinted surface, with 20 min polymerization time
providing optimum conditions to endow the surface-confined cavities
with specific glycoprotein recognition properties.
Conclusions
The generation of affinity tools that specifically recognizes and
binds glycoproteins remains a critical bottleneck in biomedical research
and diagnostic test development. In this work, a whole new strategy
was developed to tailor synthetic materials that possess highly selective
molecular recognition properties with affinity in the low micromolar
range for glycoproteins. The unprecedented performance relies on the
recognition capabilities of the surface-confined imprinted cavities
that are ultimately dictated by the well-defined pattern of multiple
BAs within the cavity that are sterically complementary to the unique
molecular structure of the glycan on the target glycoprotein. This
step is initially controlled by the stoichiometric ratio of glycoprotein
target to BA moieties during complexation, in which, for RNase B,
a 1:10 BA/RNase B ratio yielded imprinted surfaces with superior binding
properties when compared with higher molar ratios of BA. An excess
of carbohydrate receptors in the cavity can be detrimental to the
overall affinity and selectivity to the target glycoprotein. In addition,
we showed that the thickness of the recognition layer influences the
affinity and selectivity of the resulting imprinted surface for its
template, providing an additional parameter for tuning the properties
of the imprinted surfaces.This study provides an unprecedented
strategy, which combines supramolecular
assembly and well-controlled surface-confined ATRP polymerization,
to create robust and highly reproducible template-induced glycoprotein
recognition sites on material surfaces. These advanced recognition
materials are of great interest in many biomedical applications, in
which they are deemed particularly well-suited for achieving highly
specific biosensing and bioanalytical platforms for biomedical research,
glycoprotein analysis, clinical diagnosis, and cancer detection. For
instance, many clinical biomarkers in cancer are glycoproteins, such
as CEA in colorectal cancer, CA125 in ovarian cancer, HER2 in breast
cancer, PSA in prostate cancer, and α-fetoprotein in liver cancer.[41,42] In this regard, the developed glycoprotein recognition platform
provides a highly valuable tool for cancer detection.
Authors: Paulo De Carvalho Gomes; Mike Hardy; Yazmin Tagger; Jonathan James Stanley Rickard; Paula Mendes; Pola Goldberg Oppenheimer Journal: J Phys Chem C Nanomater Interfaces Date: 2022-08-08 Impact factor: 4.177