We have developed a novel biosensor for kinases that is based on a kinase-responsive polymer hydrogel, which enables label-free screening of kinase activity via changes in optical properties. The hydrogel is specifically designed to swell reversibly upon phosphorylation of a target peptide, triggering a change in optical diffraction from a crystalline colloidal array of particles impregnated into the hydrogel. Diffraction measurements, and charge staining, confirmed the responsive nature of the hydrogel. Moreover, the change in diffraction of the hydrogel upon treatment with kinase exhibited a time- and dose-dependent response. A theoretical model for ionic polymer networks describes the observed optical response well and can be used to quantify the extent of phosphorylation.
We have developed a novel biosensor for kinases that is based on a kinase-responsive polymer hydrogel, which enables label-free screening of kinase activity via changes in optical properties. The hydrogel is specifically designed to swell reversibly upon phosphorylation of a target peptide, triggering a change in optical diffraction from a crystalline colloidal array of particles impregnated into the hydrogel. Diffraction measurements, and charge staining, confirmed the responsive nature of the hydrogel. Moreover, the change in diffraction of the hydrogel upon treatment with kinase exhibited a time- and dose-dependent response. A theoretical model for ionic polymer networks describes the observed optical response well and can be used to quantify the extent of phosphorylation.
Protein kinases are a critical
family of enzymes that modulate virtually all cellular processes,
including differentiation, proliferation, motility, and apoptosis,
and thus cell function.[1,2] Modulation of cell function by
kinases is the result of the phosphorylation of target protein substrates
that are involved in intracellular signaling pathways. At the molecular
level, the phosphorylation of protein substrates provides a mechanism
by which target proteins may be activated or deactivated. The resulting
activation or deactivation of target proteins can, in turn, lead to
aberrant signal transduction if levels of kinase activity are altered,
as is the case in many disease states. Due to their central role in
signal transduction, kinases have been implicated in a myriad of diseases,
making kinases among the most important targets for therapeutic molecules.[3]Despite the importance of kinases as potential
drug targets, robust,
high-throughput screening methods for kinase inhibitors and activators
are sorely lacking. Kinases are inherently difficult to assay due
to the lack of measurable signal (i.e., pH or color change) upon protein
phosphorylation. Conventional biochemical methods to assay kinase
activity nearly all use radiolabeled or fluorescent substrates or
phospho-specific antibodies.[5−7] Such methods, while sensitive,
require expensive reagents and frequently involve multiple steps.
Notably, phospho-specific antibodies are also challenging to generate
and of limited availability for phosphoserine and -threonine residues.[8] Additionally, fluorescent methods, which are
widely based on quenching, polarization, or resonance energy transfer,
are prone to signal interference by small molecules that may fluoresce
or quench fluorescent signals. Kinase screening efforts may alternatively
rely on biophysical binding techniques such as NMR,[9] surface plasmon resonance,[10] differential scanning fluorimetry (i.e., thermal shift assay),[11] and quartz crystal microbalance,[12] although traditional binding assays are limited
in their ability to measure changes in catalytic activity. More recently,
screening methods based on improved mass spectroscopy techniques,[13] computational approaches,[14,15] and label-free nanoparticle aggregation assays[16−19] have been reported. Ultimately,
the development of high-throughput kinase screening platforms would
greatly facilitate the discovery of potential drug candidates as well
as probes for studying cellular mechanisms involved in disease and,
moreover, kinase profiling.Here, we present a novel photonic
crystal biosensor for the optical
detection of peptide phosphorylation and, thus, kinase activity. The
biosensor is composed of a crystalline colloidal array (CCA) polymerized
into a hydrogel matrix. The photonic crystal, shown in Scheme 1, consists of negatively charged, vinyl-functionalized
polystyrene particles that self-assemble into a pseudocrystal structure
that diffracts light in the visible spectrum. Once polymerized, the
hydrogel is functionalized with a kinase recognition sequence that
is subject to phosphorylation, which alters the electrostatic environment
within the hydrogel. The resulting change in the electrostatics induces
a Donnan potential that causes the hydrogel to swell and, in turn,
the lattice spacing of the CCA to increase and the wavelength of peak
diffraction to red shift. Such an optical response can be monitored
spectrophotometrically, after rinsing of mobile ions, to readily quantify
the effect of kinase inhibitors and activators on phosphorylation
activity. Incorporation of photonic crystals into swellable polymer
networks has been reported previously for detecting pH changes and
charged species, including small molecules and metal ions.[20−23] Importantly for biosensing applications, because the CCAs developed
here diffract light at visible wavelengths (≥400 nm), the adsorption
of light by small molecules, which typically adsorb light in the UV
range, will not interfere with the CCA signal. Additionally, because
the sensing platform is reagentless, kinase activity may be screened
without exogenous labels or components, representing a significant
advantage over conventional kinase assay methods.
Scheme 1
Fabrication of a
Kinase Responsive CCA Biosensor
Optically diffracting hydrogel thin films (126.4 ±
0.7 μm
thick) were fabricated on vinyl-functionalized plastic substrates
via the process outlined in Scheme 1. Specifically,
acrylamide was photopolymerized in the presence of a colloidal suspension
of charged, vinyl-functionalized polystyrene (PS) latex spheres (10–12%
w/w), resulting in the cross-linking of a stable CCA within the hydrogel
network. The negatively charged polystyrene particles were synthesized
by emulsion polymerization in water using surfactants to stabilize
the initial micelle formation and the polymer particles that were
formed.[24,25] Dynamic light scattering (Figure S1 in the Supporting Information (SI)) and scanning electron microscopy were used to characterize
the resulting spheres, which were found to pack into a dense array
in thin films (see the scanning electron micrograph in Scheme 1) as well as to be monodisperse in size with a diameter
of 110 ± 2 nm. In solution, the formation of the CCA is the result
of the electrostatic forces between negatively charged sulfonate groups
(zeta potential of −33 ± −2 mV) on the surface
of the polystyrene particles. Electrostatic repulsion between the
particles causes them to adopt a face-centered cubic lattice structure
that has the lowest configurational energy. The crystal structure
and thus volume of the hydrogel dictates the diffraction spectrum
of the CCA sensor through Bragg’s law.[26] Figure 1 shows example diffraction spectra
of hydrogel-encapsulated CCAs as a function of immobilized carboxylate
groups, the concentration of which was controlled by varying the hydrolysis
time. Reflectance spectroscopy is used to quantify the wavelength
of peak diffraction, although distinct changes in film color can also
be observed by eye. The photograph corresponding to a total negative-charge
concentration of 25 mM appears almost black due to excessive swelling
of the hydrogel, which causes the hydrogel to diffract at wavelengths
beyond the visible spectrum.
Figure 1
Red shift in peak optical reflectance of hydrogel-encapsulated
CCAs with increasing concentration of immobilized negatively charged
groups (at pH 5.5). The inset images (∼5 × 5 mm2) show visual color changes of the hydrogels. The total concentrations
of negative charge from 5 to 25 mM, as indicated above each image,
were measured by colorimetric staining.
Red shift in peak optical reflectance of hydrogel-encapsulated
CCAs with increasing concentration of immobilized negatively charged
groups (at pH 5.5). The inset images (∼5 × 5 mm2) show visual color changes of the hydrogels. The total concentrations
of negative charge from 5 to 25 mM, as indicated above each image,
were measured by colorimetric staining.Upon preparation of the CCA-containing hydrogel, the hydrogel
was
functionalized with a peptide substrate (LRRASLG) for protein kinase
A (PKA). The target LRRASLG peptide contains two positively charged
arginine residues and has a net positive charge of +0.5 at neutral
pH after phosphorylation of the serine. Full experimental details,
including peptide conjugation, may be found in the SI. Briefly, peptide functionalization was enabled by converting
free amide groups in the hydrogel to carboxylate groups through base
hydrolysis. A two-step EDC/NHS reaction was subsequently used to form
an amide linkage between the carboxylates in the hydrogel and the
N-terminus amine of the peptide substrate. The functionalization reaction
was performed in a high ionic strength environment to shield the immobilized
negative charges, thus preventing excessive swelling and mechanical
failure (i.e., delamination, fracturing, or wrinkling) of the hydrogel.
Each step of the fabrication process was confirmed by diffraction
measurements and the extent of reaction was quantified by staining
for immobilized charges. Prior to measuring optical diffraction, the
hydrogels were rinsed extensively to remove free, mobile ions, which
would interfere with the sensor’s response. By rinsing the
sensor, the structure and response of the CCA is dependent only on
the immobilized charges. To stain the hydrogels for negative and positive
charges, the gel was reacted with toluidine blue O and acid orange
7, respectively, as reported previously.[28,29] The hydrogels were incubated in aqueous solutions containing each
stain for 3 h to allow for complete dye adsorption, after which the
hydrogels were rinsed to remove any loosely adsorbed dye. Following
rinsing, the bound dye was extracted via treatment with a strong acid
or base and quantified by UV–vis absorbance. For determination
of immobilized charge concentrations in the hydrogel, the ratio of
dye to immobilized charge was assumed to be 1:1.The immobilized
charge concentration in the hydrogel-encapsulated
CCAs is shown in Figure 2, as quantified by
charge staining, following the polymerization, hydrolysis, and peptide
functionalization steps. Charge concentration was determined on a
per unit volume basis of the unswollen hydrogel. The hydrogels had
an initial wavelength of peak diffraction of 500 nm and a concentration
of negative charge of 5 mM, which was due to the presence of the PS
spheres. Hydrolysis increased the amount of negative charge immobilized
in the hydrogel by 7-fold, although this represents a low overall
conversion (<1 mol %) of the available amide groups to carboxylates.
The larger concentration of immobilized charge increases the Donnan
potential, causing the hydrogel to swell and the wavelength of peak
diffraction to red shift to >800 nm. Functionalizing the hydrogel
with LRRASLG reduced the concentration of negative charges, due to
reactive coupling through the carboxylate groups, and increased the
concentration of positive charges due to the two arginine residues
(with pKa’s of 12.48) present in
the peptide. Based on the charge concentration and an overall mole
balance, the concentration of peptide immobilized in the hydrogel
was calculated to be ∼10 mM. The reduction in negative charge
was more significant than that expected based on the corresponding
increase in the concentration of positive charge. Peptide functionalization
also caused a dramatic blue shift in the optical response to a wavelength
of peak diffraction of 495 nm, which was less than that of the initial
CCA. Likely these observed effects were due to the formation of ionic
cross-links between positive and negative charges in the hydrogel,
which reduced the concentrations of free charges and increased gel
stiffness, resulting in less swelling. Potential cross-linking of
immobilized charges was accounted for in the estimation of immobilized
peptide concentration. In comparison, unhydrolyzed samples and samples
without peptide showed no change in charge concentration.
Figure 2
Concentration
of immobilized charge in the kinase responsive CCA-containing
hydrogels characterized by colorimetric staining. The blue and red
bars represent negative (−) and positive (+) charge concentrations,
respectively. The positive charge concentration in the CCA-containing
hydrogel and the hydrolyzed hydrogel were determined to be negligible
within error. Error bars represent ±1σ, as measured for
the first three steps for 30 samples. The PKA treatment was performed
at a concentration of 16 U/μL and 8 h and is reported for 3
independent samples.
Concentration
of immobilized charge in the kinase responsive CCA-containing
hydrogels characterized by colorimetric staining. The blue and red
bars represent negative (−) and positive (+) charge concentrations,
respectively. The positive charge concentration in the CCA-containing
hydrogel and the hydrolyzed hydrogel were determined to be negligible
within error. Error bars represent ±1σ, as measured for
the first three steps for 30 samples. The PKA treatment was performed
at a concentration of 16 U/μL and 8 h and is reported for 3
independent samples.The screening and quantification of kinase activity using
the photonic
crystal biosensor was demonstrated as a function of phosphorylation
reaction time and enzyme concentration. Time course measurements (Figure 3a) were performed by incubating the biosensor at
30 °C in 0.5 mL of reaction buffer (50 mM Tris-HCl, pH 7.5, with
10 mM MgCl2 and 1 mM ATP) with 16 U/μL of PKA. The
reaction was quenched by heating the biosensor at 65 °C for 20
min to denature the enzyme. The biosensor was then thoroughly rinsed
in water to remove any excess reactants or mobile ions that may reduce
the extent of swelling. The red shift in the wavelength of peak diffraction
is reported, representing the difference in Bragg diffraction between
post- and pre-PKA treatment (see Figure S3 for raw spectra). The red shift in the wavelength of peak diffraction
due to the increase in immobilized negative charge was detected in
as short as 30 min and increased with reaction times from 0 to 4 h,
whereas after 4 h a plateau in sensor response was observed. Control
samples prepared with phosphorylated LRRASLG (LRRApSLG) indicated
that a red shift in peak diffraction of 100 nm corresponded to 30%
phosphorylation (Figure S2). Based on this,
the response of the sensor in the time course plot is presumably limited
by the extent of phosphorylation of the immobilized peptide. Limitations
in phosphorylation may result from the loss of PKA activity from enzyme
instability as well as partial inaccessibility of the immobilized
peptide. Inamori et al.[30] previously observed
that phosphorylation of LRRASLG tethered to gold surfaces by PKA was
limited to ∼20 mol % of that in solution. Moreover, while it
is also plausible that this plateau may result from diffusional limitations,
this is unlikely based on previous literature that has shown that
proteins of similar size were able to diffuse 50 μm into CCA-impregnated
hydrogels within 20 min, which is much deeper than the optically active
region of the film being probed here.[31,32] Additionally,
a dose response curve, showing red shift in peak diffraction as a
function of PKA concentration, is shown in Figure 3b. Phosphorylation of the peptide by PKA can also be detected
by staining as a small increase in the immobilized negative charge
concentration (Figure 2, PKA treated samples).
However, this response is significantly weaker than that measured
optically, indicating the higher sensitivity of the CCA's optical
response as compared to that of the charge staining assay. Control
samples (not shown) for both the time course and dose response data
were incubated in the presence of PKA, but without ATP. Time course
controls were incubated for 8 h (also with 16 U/μL enzyme),
and dose response controls were incubated with 25 U/μL enzyme
(also for 2 h). Both sets of controls showed a shift in the wavelength
of peak diffraction of <1 nm upon enzyme treatment, confirming
that the apparent response was due solely to phosphorylation. Moreover,
the sensor showed no change in response in the presence of exogenous
charged molecules, indicating that there is no interference from such
molecules (Figure S4).
Figure 3
Red shift in the wavelength
of peak diffraction as a function of
(a) time upon treatment with 16 U/μL of PKA and (b) PKA concentration
for 2 h treatments. The solid black curves represent model predictions
over the range fitted, and the dashed curves are extrapolations from
the model. Error bars represent ±1σ from the mean for 3
independent samples.
Red shift in the wavelength
of peak diffraction as a function of
(a) time upon treatment with 16 U/μL of PKA and (b) PKA concentration
for 2 h treatments. The solid black curves represent model predictions
over the range fitted, and the dashed curves are extrapolations from
the model. Error bars represent ±1σ from the mean for 3
independent samples.To demonstrate the utility of the CCA sensor to screen for
kinase
inhibitors, the sensor response to PKA activity in the presence of
the small molecule kinase inhibitor H-89 was measured (Figure 4). The small molecule inhibitor H-89 competitively
inhibits PKA by binding to the ATP binding cleft.[33] The activity of PKA in the presence of H-89 was measured
by preincubating 16 U/μL of PKA with 0.1 nM–100 μM
H-89 for 10 min in reaction buffer (50 mM Tris-HCl, pH 7.5, 10 mM
MgCl2, 100 μM ATP). Following incubation of PKA with
H-89, the CCA sensor was immersed in the reaction solution for 3 h
at 30 °C after which residual PKA activity was quenched as above
and the system was rinsed with water. As expected, increasing the
concentration of H-89 decreased the red shift in peak diffraction,
which is attributed to decreasing PKA activity. Notably, the IC50
value of H-89 was determined to be 68 nM, which is in agreement with
previously reported literature values.[33]
Figure 4
Sensitivity
of kinase responsive CCA sensor to PKA inhibition by
H-89 (inset structure). Inhibition of PKA by H-89 was measured with
varying inhibitor concentrations (0–105 nM) and
16 U/μL of PKA. Hydrogel-encapsulated CCAs were incubated with
the enzyme and inhibitor for 3 h at 30 °C. Error bars represent
±1σ from the mean for 3 independent samples.
Sensitivity
of kinase responsive CCA sensor to PKA inhibition by
H-89 (inset structure). Inhibition of PKA by H-89 was measured with
varying inhibitor concentrations (0–105 nM) and
16 U/μL of PKA. Hydrogel-encapsulated CCAs were incubated with
the enzyme and inhibitor for 3 h at 30 °C. Error bars represent
±1σ from the mean for 3 independent samples.The optical response of CCAs encapsulated in the
kinase responsive
hydrogel is dependent on not only the kinase activity but also (i)
the material properties of the hydrogel, (ii) the immobilized charge
distribution in the hydrogel, and (iii) the ionic character of the
surrounding environment. A model of swelling in ionic polymer networks
elucidates these dependencies and was used to fit the time course
and dose response data in Figure 3 (solid curves;
see SI for full model details). The model
predictions fit the experimental data well and allow for quantification
of the extent of phosphorylation and enzyme kinetics including kcat from the optical response (Figure S5). Deviation of the time course data from the model
predictions at long incubation times (8 h) may be, as suggested previously,
due in part to the loss in PKA activity over time or peptide inaccessibility.
By elucidating the critical parameters that are associated with the
diffraction of the biosensor in response to kinase activity, the model
ultimately may be used to improve the sensitivity of the sensor and
thus reduce the detection limit and permit shorter reaction times.
For example, the model predicts that increased sensitivity may be
achieved by increasing the concentration of accessible peptide, eliminating
extraneous charges immobilized in the hydrogel (e.g., unreacted carboxylate
functionalities), or by lowering the elastic restoring force upon
swelling by reducing Young’s modulus of the gel (i.e., cross-linking
density). Excess negative charges in the polymer backbone may be eliminated
by linking the peptide through chemistries that do not require hydrolysis
of the hydrogel (e.g., click reactions). Furthermore, although diffusional
limitations do not affect the response of the sensor toward PKA, such
limitations, which impact sensor response, with larger enzymes or
proteins may be reduced by altering cross-linking density.In
summary, novel photonic crystal-containing polymer hydrogels
that are responsive to peptide phosphorylation were developed for
assaying kinase activity. Such hydrogels may be used as a sensing
platform to identify kinase inhibitors or activators of kinase pathways,
as well as for assaying kinase selectivity. The lack of exogenous
fluorescent reagents or labels, furthermore, enhances the potential
utility of the hydrogels for high-throughput screening, which may
be enabled through preparation of the hydrogels in a multiplex format.
Though the photonic crystal biosensor was specifically developed for
screening purified kinases, washing and detection in pure water will
allow for assaying biologically complex samples as well. We have also
demonstrated that the sensor can be used to detect the reverse (i.e.,
dephosphorylation) reaction, involving the removal of immobilized
negative charges, by phosphatases (Figure S6). More broadly, such hydrogels may be used to assay the activity
of other enzymes that catalyze post-translational modifications that
alter substrate charge (e.g., sulfonation, acetylation, carboxylation,
or amidation), thus providing a platform to screen a broad spectrum
of protein or biomolecule modifications.
Authors: James T Metz; Eric F Johnson; Niru B Soni; Philip J Merta; Lemma Kifle; Philip J Hajduk Journal: Nat Chem Biol Date: 2011-02-20 Impact factor: 15.040
Authors: Larry R Masterson; Lei Shi; Emily Metcalfe; Jiali Gao; Susan S Taylor; Gianluigi Veglia Journal: Proc Natl Acad Sci U S A Date: 2011-04-06 Impact factor: 11.205
Authors: James T Koerber; Nathan D Thomsen; Brett T Hannigan; William F Degrado; James A Wells Journal: Nat Biotechnol Date: 2013-08-18 Impact factor: 54.908
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Authors: Mark A Lifson; Mehmet Ozgun Ozen; Fatih Inci; ShuQi Wang; Hakan Inan; Murat Baday; Timothy J Henrich; Utkan Demirci Journal: Adv Drug Deliv Rev Date: 2016-06-02 Impact factor: 15.470