pH is an important physiological parameter that plays a critical role in cellular and tissue homeostasis. Conventional small molecular pH sensors (e.g., fluorescein, Lysosensor) are limited by broad pH response and restricted fluorescent emissions. Previously, we reported the development of ultra-pH-sensitive (UPS) nanoprobes with sharp pH response using fluorophores with small Stokes shifts (<40 nm). In this study, we expand the UPS design to a library of nanoprobes with operator-predetermined pH transitions and wide fluorescent emissions (400-820 nm). A copolymer strategy was employed to fine tune the hydrophobicity of the ionizable hydrophobic block, which led to a desired transition pH based on standard curves. Interestingly, matching the hydrophobicity of the monomers was critical to achieve a sharp pH transition. To overcome the fluorophore limitations, we introduced copolymers conjugated with fluorescence quenchers (FQs). In the micelle state, the FQs effectively suppressed the emission of fluorophores regardless of their Stokes shifts and further increased the fluorescence activation ratios. As a proof of concept, we generated a library of 10 nanoprobes each encoded with a unique fluorophore. The nanoprobes cover the entire physiologic range of pH (4-7.4) with 0.3 pH increments. Each nanoprobe maintained a sharp pH transition (on/off < 0.25 pH) and high fluorescence activation ratio (>50-fold between on and off states). The UPS library provides a useful toolkit to study pH regulation in many pathophysiological indications (e.g., cancer, lysosome catabolism) as well as establishing tumor-activatable systems for cancer imaging and drug delivery.
pH is an important physiological parameter that plays a critical role in cellular and tissue homeostasis. Conventional small molecular pH sensors (e.g., fluorescein, Lysosensor) are limited by broad pH response and restricted fluorescent emissions. Previously, we reported the development of ultra-pH-sensitive (UPS) nanoprobes with sharp pH response using fluorophores with small Stokes shifts (<40 nm). In this study, we expand the UPS design to a library of nanoprobes with operator-predetermined pH transitions and wide fluorescent emissions (400-820 nm). A copolymer strategy was employed to fine tune the hydrophobicity of the ionizable hydrophobic block, which led to a desired transition pH based on standard curves. Interestingly, matching the hydrophobicity of the monomers was critical to achieve a sharp pH transition. To overcome the fluorophore limitations, we introduced copolymers conjugated with fluorescence quenchers (FQs). In the micelle state, the FQs effectively suppressed the emission of fluorophores regardless of their Stokes shifts and further increased the fluorescence activation ratios. As a proof of concept, we generated a library of 10 nanoprobes each encoded with a unique fluorophore. The nanoprobes cover the entire physiologic range of pH (4-7.4) with 0.3 pH increments. Each nanoprobe maintained a sharp pH transition (on/off < 0.25 pH) and high fluorescence activation ratio (>50-fold between on and off states). The UPS library provides a useful toolkit to study pH regulation in many pathophysiological indications (e.g., cancer, lysosome catabolism) as well as establishing tumor-activatable systems for cancer imaging and drug delivery.
Nanomaterials responsive
to external stimuli such as pH, temperature,
reactive oxygen/nitrogen species, or enzyme levels have been extensively
explored for a wide range of biological applications in molecular
sensing, drug delivery, and tissue engineering.[1−5] Compared to small molecular sensors, responsive nanomaterials
often display positive cooperativity with sharpened responses, a hallmark
of the supramolecular self-assembly system described by Whitesides
over two decades ago.[6,7] Supramolecular self-assembly engages
a multitude of multivalent, weak, and reversible noncovalent interactions
(e.g., electrostatic, hydrogen bonding, and hydrophobic interactions)
to form thermodynamically stable nanostructures (ΔG ≤ 0). This strategy has the advantage of dramatic phase transitions
upon subtle perturbation of environmental stimuli. Such strategies
have been exploited in artificial systems such as thermosensitive
hydrogels (e.g., NIPAM,[8] elastin-like proteins[9]) for drug delivery, as well as by nature in protein
oligomerization to counter large-scale cellular responses to amplify
biological signals.[10]In recent years,
our lab has focused on the development of ultra-pH-sensitive
(UPS) nanoparticles using self-assembly principles. pH is an important
physiological signal that plays a critical role in maintaining cellular
and tissue homeostasis. At the molecular level, the pH gradient across
the mitochondria membrane is essential for ATP synthesis.[11] At the cellular level, the pH of intracellular
compartments (e.g., endocytic vesicles) in eukaryotic cells is carefully
controlled and directly affects many processes such as membrane transport,
receptor cycling, lysosomal catabolism, and virus entry into cells.[12−14] Inhibition of lysosomal function by the impairment of lysosomal
pH has been associated with the lack of Aβ degradation and subsequent
neuronal cell death in Alzheimer’s disease.[15,16] At the tissue level, the interstitial pH is carefully controlled
at 7.2–7.4. In the tumor microenvironment, cancer cells display
a “reversed” pH gradient with a constitutively increased
cytoplasmic pH and lowered extracellular pH (pHe = 6.5–6.9)[17,18] that promotes matrix degradation and cancer metastasis. Recently,
this dysregulated pH has been described as a universal characteristic
of cancer.[17]Previously, we reported
a series of ultra-pH-sensitive micelle
nanoparticles using a block copolymer design (PEO-b-PR, where PEO is poly(ethylene oxide) and PR is an ionizable tertiary
amine block).[19−22] Tertiary amine-containing monomers with precisely controlled hydrophobic
substituents were employed to render different pH transitions. At
low pH, micelles dissociate into cationic unimers with protonated
ammonium groups (left panel in Figure 1a).
Fluorophores conjugated on the PR segment emit strong fluorescence.
When pH increases, the neutralized PR segments become hydrophobic
and self-assemble into the micelles, which results in fluorescence
quenching (right panel). Hydrophobic micellization dramatically sharpens
the pH transitions (on/off states is <0.25 pH unit, compared to
2 pH units for small molecular pH sensors as dictated by the Henderson–Hasselbalch
equation[23]). Using this design, we successfully
differentiated the compartmental pH between early endosomes (6.0–6.5)
and late endosomes/lysosomes (4.5–5.5), which led to an early
endosome-activatable nanocarrier (transition pH, or pHt = 6.3) for siRNA delivery.[24] More recently,
we demonstrated the use of a pHt 6.9 nanoprobe to turn
on the fluorescence signal in the acidic microenvironment of tumors
(pHe = 6.5–6.9) while keeping silent during blood
circulation (7.4) for cancer-specific imaging of a broad range of
tumors.[22]
Figure 1
Schematic design of ultra-pH-sensitive
(UPS) micellar nanoprobes.
(a) In the unimer state (pH < pHt), polymer dissociation
resulted in fluorophore/quencher separation and strong fluorescence
emission. In the micelle state (pH > pHt), fluorescence
quenching dramatically suppresses the emission intensity of fluorophores.
(b) A random copolymer strategy was used to achieve an operator-predetermined
control of nanoprobe pHt by the ability to continuously
fine tune the hydrophobicity of the PR segment.
Schematic design of ultra-pH-sensitive
(UPS) micellar nanoprobes.
(a) In the unimer state (pH < pHt), polymer dissociation
resulted in fluorophore/quencher separation and strong fluorescence
emission. In the micelle state (pH > pHt), fluorescence
quenching dramatically suppresses the emission intensity of fluorophores.
(b) A random copolymer strategy was used to achieve an operator-predetermined
control of nanoprobe pHt by the ability to continuously
fine tune the hydrophobicity of the PR segment.Despite these successes, the previous UPS nanoprobe design
is limited
in two aspects: first, the homopolymeric PR segment synthesized from
a single monomer only provides limited control of transition pH; second,
the fluorophores were limited to those with a small Stokes shift (<40
nm) due to the homoFRET-induced decay mechanism. To overcome these
limitations, we now report a copolymer strategy to fine tune the hydrophobicity
of the PR segment for pHt control (Figure 1b) and, moreover, to introduce fluorescence quenchers (FQs)
to broaden the dye selection. Consequently, we established a UPS library
with operator-predetermined pH transitions covering the entire physiologic
pH range from 4 to 7.4 using a wide range of fluorophores (400–820
nm). The library consists of 10 nanoprobes with 0.3 pH increment each
encoded with a unique fluorophore. Each nanoprobe maintained the sharp
pH transition (on/off < 0.25 pH) and high fluorescence activation
ratio (>50-fold between on and off states). This UPS library provides
a valuable toolkit to interrogate a variety of cell physiological
processes involving pH regulation as well as tumor-activatable systems
for image-guided surgery and drug delivery applications.
Results and Discussion
Copolymer
Syntheses by the ATRP Method
We used the
atom transfer radical polymerization (ATRP) method[25,26] with CuBr as a catalyst and N,N,N′,N′,N″-pentamethyldiethylenetriamine (PMDETA) ligand for copolymer
synthesis (Figure 2). The PEO-b-PR copolymers with homopolymeric PR block were synthesized using
a single metharylate monomer as previously described.[19,20] In order to continuously fine tune the hydrophobicity of the PR
segment, we employed a copolymerization strategy using two methacrylate
monomers with different hydrophobicity (Figure 2). The molar fraction of the two monomers can be precisely controlled
prior to polymerization, leading to a random copolymerized P(R1-r-R2) block.[27] A series of methacrylate monomers with different dialkyl
chain lengths (e.g., ethyl, propyl, butyl, and pentyl) was used in
the current study. To introduce fluorophores or fluorescence quenchers,
we also incorporated aminoethyl methacrylate (AMA-MA) (three repeating
units per polymer chain) where the free amino groups were conjugated
to dyes or FQs through activated N-hydroxyl succinimidyl
(NHS) esters.
Figure 2
Syntheses of dye- or fluorescence quencher (FQ)-conjugated
PEO-b-P(R1-r-R2) copolymers.
The hydrophobicity of the PR segment can be continuously controlled
by varying the molar fractions of the two monomers (R1 or
R2 = Et, ethyl; Pr, propyl; Bu, butyl; Pe, pentyl).
Syntheses of dye- or fluorescence quencher (FQ)-conjugated
PEO-b-P(R1-r-R2) copolymers.
The hydrophobicity of the PR segment can be continuously controlled
by varying the molar fractions of the two monomers (R1 or
R2 = Et, ethyl; Pr, propyl; Bu, butyl; Pe, pentyl).After syntheses, we characterized
the copolymers with 1H and 13C NMR to verify
the chemical composition and used
gel permeation chromatography (GPC) to measure the number- and weight-averaged
molecular weights and polydispersity (Supporting
Information Tables S1–S3, Figures S1–S6). GPC
analysis of representative dye-conjugated copolymers showed complete
removal of the free dyes after purification (Supporting
Information Figure S7). Glass transition temperatures (Tg) and melting temperatures (Tm) of the copolymers were measured by differential scanning
calorimetry (DSC). The onset decomposition temperatures (Td) and temperature of 50% weight loss (T50) were measured by thermogravimetric analysis (TGA, Supporting Information Tables S3). The apparent
pKa values of the copolymers were obtained
by pH titration (Supporting Information Tables S1, S2, and S4).
Comparison of Copolymerization vs Molecular
Mixture Strategy
for pHt Control
Initially, we compared two different
strategies on their abilities to control the pHt values
of UPS nanoprobes. The first strategy involves a molecular mixture
of two different PEO-b-PR copolymers with different
pH transitions. In this example, we used Cy5-conjugated PEO-b-poly[2-(diethylamino)ethyl methacrylate] (PDEA, all copolymers were conjugated with Cy5 dye in the PR segment
unless specified otherwise) and PEO-b-poly[2-(dipentylamino)ethyl
methacrylate] (PD5A). The PDEA and PD5A nanoprobes had pH transitions at 4.4 and 7.8, respectively.
We used a sonication method to produce a micelle nanoprobe consisting
of both copolymers with the same molar percentage (i.e., 50%) in each
micelle (this was verified by heteroFRET experiments, data not shown).
In the second strategy, we synthesized the Cy5-conjugated PEO-b-poly[2-(diethylamino)ethyl methacrylate-r-2-(dipentylamino)ethyl methacrylate] copolymer (P(DEA-D5A); unless noted otherwise, this nomenclature (without
r) refers to a random PR block) where the PR segment was composed
of a random copolymer from two monomers (40 repeating units for each
monomer, Supporting Information Table S1).
The hydrodynamic diameters were 65 and 29 nm for PDEA/PD5A (molecular mixture) and P(DEA-D5A) (copolymer)
micelles, respectively.The two micelle designs show drastically
different patterns of fluorescence emission in response to changes
in pH. For the PDEA/PD5A nanoprobes, we observed two
distinctive pH transitions corresponding to the individual copolymers
where the fluorescence on/off transitions were at 4.4 and 7.8 (Figure 3a, Supporting Information Figure S8). This result suggests that chain entanglement between
PDEA and PD5A within the micelle core is not sufficient to overcome
individual polymer dissociation behavior. In contrast, the P(DEA-D5A) nanoprobe showed a single pH transition at 6.0, about
halfway between the PDEA and the PD5A transitions.
Figure 3
(a) Comparison
of PDEA/PD5A molecular mixture vs P(DEA-D5A) copolymer strategies for control of
pHt. (b) Normalized fluorescence intensity of P(DEA-D5A) nanoprobes with different
ratios of the two monomers as a function of pH. (c) Nanoprobe pHt is linearly correlated with the molar fraction of the DEA-MA
monomer in the PR segment. Error bars were calculated from three repeating
experiments (n = 3). Polymer concentrations were
0.1 mg/mL in these studies.
(a) Comparison
of PDEA/PD5A molecular mixture vs P(DEA-D5A) copolymer strategies for control of
pHt. (b) Normalized fluorescence intensity of P(DEA-D5A) nanoprobes with different
ratios of the two monomers as a function of pH. (c) Nanoprobe pHt is linearly correlated with the molar fraction of the DEA-MA
monomer in the PR segment. Error bars were calculated from three repeating
experiments (n = 3). Polymer concentrations were
0.1 mg/mL in these studies.To explore the control of transition pH, we synthesized a
series
of P(DEA-D5A) copolymers with varying molar fractions of the two monomers. The
resulting copolymers displayed different pH transitions (Figure 3b, Supporting Information Figure S9). Plot of pHt of nanoprobes as a function of
the molar fraction of DEA monomer showed a linear correlation (Figure 3c). Incorporation of a higher percentage of less
hydrophobic monomers (e.g., DEA-MA) resulted in higher pH transitions.
It is worth pointing out that the transition pH of the UPS nanoprobes
is controlled by varying the hydrophobicity of the PR segment. This
is contrary to small molecular pH sensors, where electron-withdrawing
or -donating groups are necessary for fine tuning.[28]
Monomer Compatibility Affects Sharpness of
pH Transition
Although P(DEA-D5A) nanoprobes with different monomer percentage
allowed control
of transition pH (Figure 3b and 3c), the sharpness of the pH transition was significantly broader
than the corresponding nanoprobes with homopolymeric PR segment. More
specifically, the ΔpH10–90% values (pH range
where fluorescence intensity increases from 10% to 90%) were 0.65,
0.64, and 0.47 for P(DEA-D5A) copolymers with 25%, 50%, and 75% of DEA-MA
compositions, respectively, in comparison to 0.14 and 0.19 for PDEA and PD5A nanoprobes, respectively. The broad
pH response from P(DEA-D5A) copolymers indicates the heterogeneous chain properties
from the monomers with large hydrophobicity differences.To
improve the sharpness of pH transition, we investigated the use of
monomers with closely matched hydrophobicity. As an example, we chose
2-(dipropylamino)ethyl methacrylate (DPA-MA) and 2-(dibutylamino)ethyl
methacrylate (DBA-MA) to produce a series of P(DPA-DBA) nanoprobes. The two monomers differ
by one carbon on the nitrogen substituents (i.e., propyl vs butyl).
Copolymerization of the two monomers led to a more refined, tunable
series of nanoprobes with sharp pH transitions (Figure 4a, Supporting Information Figure
S10). The ΔpH10–90% values were 0.19, 0.20,
and 0.18 for P(DPA-DBA) nanoprobes with 25%, 50%, and 75% of DPA-MA compositions,
respectively. Each copolymer probe maintained the sharp pH transition
(<0.25 pH unit). Figure 4b shows a fluorescence
derivative plot as a function of pH, which further illustrates the
greatly increased sharpness of serial P(DPA-DBA) nanoprobes compared to a single P(DEA-D5A) nanoprobe in the same pH span.
Figure 4
(a) Normalized
fluorescence intensity as a function of pH for Cy5-conjugated P(DPA-DBA) nanoprobes. (b) Derivative fluorescence
plot (dF/dpH, data from a) as a function of
pH for P(DPA-DBA) vs P(DEA-D5A) nanoprobes. Use of methacrylate
monomers with close hydrophobicity (i.e., DPA/DBA vs DEA/D5A) resulted
in much sharper pH transitions. (c) Linear relationships of the nanoprobe
pHt vs molar fraction of the less hydrophobic monomer for
different copolymer compositions. These correlations serve as the
standard curves for selecting the optimal copolymer composition to
achieve an operator-predetermined pHt. (d) Representative
library of UPS nanoprobes with 0.3 pH increment covering the physiologic
range of pH 4–7.4. All nanoprobes were conjugated with the
Cy5 dye. Polymer concentrations were at 0.1 mg/mL.
(a) Normalized
fluorescence intensity as a function of pH for Cy5-conjugated P(DPA-DBA) nanoprobes. (b) Derivative fluorescence
plot (dF/dpH, data from a) as a function of
pH for P(DPA-DBA) vs P(DEA-D5A) nanoprobes. Use of methacrylate
monomers with close hydrophobicity (i.e., DPA/DBA vs DEA/D5A) resulted
in much sharper pH transitions. (c) Linear relationships of the nanoprobe
pHt vs molar fraction of the less hydrophobic monomer for
different copolymer compositions. These correlations serve as the
standard curves for selecting the optimal copolymer composition to
achieve an operator-predetermined pHt. (d) Representative
library of UPS nanoprobes with 0.3 pH increment covering the physiologic
range of pH 4–7.4. All nanoprobes were conjugated with the
Cy5 dye. Polymer concentrations were at 0.1 mg/mL.To further investigate the PR structure on nanoprobe
performance,
we also synthesized two Cy5-conjugated triblock copolymers, PEO--P(D5A--DEA) and PEO--P(DBA--DPA) (or P(D5A--DEA) and P(DBA--DPA), where b is used to denote the diblock nature
of the PR1 and PR2 segments). pH titration experiments
showed two distinctive ionization transitions for the P(D5A--DEA) and P(DBA--DPA) copolymers (Supporting Information Figures S11a and S11c). In contrast, only one pH transition was
observed for the corresponding random PR block copolymers. For the P(D5A--DEA) nanoprobe, we observed two fluorescence transitions at pH
5.3 and 6.1 (Supporting Information Figure
S11b), which is attributed to D5A40 and DEA40 blocks, respectively. For the P(DBA--DPA) nanoprobe, we were not able
to detect two distinctive fluorescence transitions over pH (Supporting Information Figure S11d). However,
the pH response for this probe (ΔpH10–90% =
0.64) is considerably broader than the P(DPA--DBA) nanoprobe (ΔpH10–90% = 0.20). It is interesting to note that the pHt values of the two nanoprobes were also different (5.51 vs
5.70 for the P(DBA--DPA) and P(DBA--DPA) nanoprobes, respectively) despite
similar chemical compositions. These results indicate that in addition
to chemical composition, PR architecture also affects the physicochemical
and fluorescence properties of the resulting nanoprobes. On the basis
of these data, we conclude that a random copolymer (i.e., P(R1-r-R2)) from monomers with closely
matched hydrophobicity provides the best strategy to fine tune the
hydrophobicity of PR block to achieve a single and sharp pH transition
for construction of UPS library.A plot of pHt values
of the P(DPA-DBA) nanoprobes as a function of
the molar fraction of DPA-MA monomer yielded a linear correlation
(Figure 4c). Similarly, we established standard
curves for P(DBA-D5A) and P(DEA-DPA) series. These standard curves allow for rational
design of UPS nanoprobes with any predetermined pH transitions (between
4.4 and 7.8) by choosing copolymers with correct PR compositions (i.e.,
monomer pairs and molar fractions). For proof of concept, we generated
a UPS library consisting of 10 nanoprobes at 0.3 pH increment covering
the entire physiologic range of pH (4–7.4) with each nanoprobe
maintaining the sharp pH transition (<0.25 pH unit between on and
off states, Figure 4d, Supporting Information Figures S12 and S13). Particle size
and size distribution, zeta potential at pH 7.4 in the PBS buffer,
and corresponding pKa and pHt values for each nanoprobe are listed in the Supporting Information Table S4.To verify the pH-dependent
micelle assembly of the copolymer nanoprobes,
we chose two representative samples, P(DEA-D5A) and P(DPA-DBA), and employed dynamic light
scattering (DLS) and transmission electron microscopy (TEM) to study
these samples at pH above and below their pHt (5.99 and
5.70, respectively). At pH 7.4 in the PBS buffer, both nanoprobes
were present as spherical micelles by TEM and the hydrodynamic diameters
(Dh) were 29.4 ± 3.4 and 36.3 ±
2.4 nm for P(DEA-D5A) and P(DPA-DBA) by DLS analysis, respectively (Supporting
Information Figures S14 and S15, Table S5). At pH 5.0, both
micelles dissociated into unimers with decrease of Dhto 9.2 ± 0.4 and 7.3 ± 0.7 nm, respectively.
TEM and DLS analyses of both nanoprobes in 10% fetal bovine serum
(FBS) in cell culture medium showed similar pH dependence, suggesting
the stability of the nanoprobes in the biological environment at pH
7.4. Additional stability study using TMR-conjugated UPS6.5 nanoprobe (P(DEA-DPA)) showed a high fluorescence activation
ratio (>40-fold) in the presence of 10% FBS, 50% mouse serum, or
solutions
containing different serum proteins (e.g., 20 mg/mL albumin, 5 mg/mL
γ-globulin) at 37 °C over 24 h (Supporting
Information Figure S16).
Characterization of Dye-Conjugated
Copolymers
In the
copolymer syntheses (Figure 2), we introduced
three primary amine-containing AMA-MA units per polymer chain. In
this study, we chose four representative NHS esters of marina blue
(MB), BDY493, TMR, and Cy5 and conjugated them to a model PDPA copolymer. After purification of free dyes from the dye-conjugated
copolymer, we measured the yields of dye conjugation and studied the
photophysical properties of the resulting nanoprobes. Results show
consistent 68–72% conjugation efficiency for these fluorophores,
which corresponds to an average of two dyes per polymer chain (Supporting Information Table S6). To investigate
the photophysical properties, we measured the quantum yields (ΦF) of polymer-conjugated dyes and compared them to the free
dyes in methanol. As a control, we also measured the quantum yields
of free dyes in a physical mixture with the same quantity of dye-free
copolymers. Results show the quantum yields of polymer-conjugated
dye did not change for Cy5 (ΦF = 0.28), decreased
to a small degree for MB (0.89 to 0.73), and decreased greatly for
TMR (from 0.68 to 0.15 from free TMR to polymer-conjugated TMR, respectively).
The large decrease of ΦF for TMR can be due to formation
of H-dimers as previously reported.[20] Interestingly,
the ΦF value decreased dramatically from 0.90 of
free BDY493 to 0.10 for polymer-conjugated BDY493. Addition of a small
amount of HCl in methanol solution recovered the ΦF to 0.87, suggesting that photoinduced electron transfer (PeT) from
free tertiary amines (before protonation) to BDY493 is responsible
for fluorescence quenching. Intramolecular PeT yielded much more efficient
quenching since a physical mixture of dye-free polymer at the same
polymer concentration only slightly decreased the ΦF of the free dye (0.86, Supporting Information Table S6).We formed micelle nanoprobes from PDPA-TMR and PDPA-BDY493copolymers (pHt = 6.2) and
measured the ΦF values at the micelle state (pH 7.4)
and unimer state (pH 5.0) in aqueous environment. For the PDPA-TMR nanoprobe, the ΦF value decreased from 0.25 at
pH 5.0 to 0.0048 at pH 7.4, representing a 52-fold decrease from the
on to off state of the nanoprobe. In contrast, the ΦF value of PDPA-BDY493 decreased only 12-fold from pH
5.0 (ΦF = 0.93) to pH 7.4 (0.076). Cell culture experiments
using the PDPA-BDY493 and PDPA-MB nanoprobes
showed high medium background signal and low imaging contrast of H2009
cancer cells (SNRcell/SNRMed < 5, where SNRcell and SNRMed are the signal-to-noise ratios of
the cancer cells and medium, respectively, Supporting
Information Figures S17 and S18). A better nanoprobe design
with large fluorescence activation ratio between the off and on states
is necessary to improve cellular imaging specificity.
Use of Fluorescence
Quenchers To Broaden Fluorophore Selection
Previously, we
reported homo-FRET-induced fluorescence decay as
the main mechanism to achieve the on/off activatable design of the
UPS nanoprobes.[20] This mechanism only applies
to fluorophores (e.g., rhodamine and cyanine dyes) with small Stokes
shifts (<40 nm). For dyes with large Stokes shifts (e.g., marina
blue or PPO, Δλ ≥ 100 nm), the fluorescence activation
ratio (RF = Fon/Foff, where Fon and Foff are the fluorescence intensity
at on and off states, respectively) was less than 5. Moreover, for
BODIPY dyes, the fluorescence activation ratio is relatively low (RF <15) as a result of the PeT mechanism.[29−31]To overcome these limitations, we investigated the use of
fluorescence quenchers (FQs) to broaden the fluorophore selection.
Fluorescence quenchers have been widely used by many groups for the
design of activatable imaging probes.[32−35] The mechanism is based on the
fluorescence resonance energy transfer from desired fluorophores to
the FQs, which subsequently dissipate the radiative energy into heat.
In this design, we selected a series of FQs that are sensitive to
different emission wavelengths and conjugated them onto the copolymer.
The UPS nanoprobes were produced by mixing the FQ-conjugated polymer
with dye-conjugated polymer in the same micelle core. At the micelle
state, FQs quench the fluorophore signals, and upon micelle dissociation,
separation of FQs and fluorophores will result in a significant increase
in fluorescence emissions (Figure 1a).To evaluate the effectiveness of the FQ strategy, we used PEO-b-poly[2-(propylamino)ethyl methacrylate] (PDPA) as a model system and conjugated different FQs and fluorophores
to the copolymer (Supporting Information Figure S19). The PDPA nanoprobe had a pH transition
at 6.2. First, we investigated the FQ strategy on fluorophores with
large Stokes shift (e.g., AMCA, 353/442; MB, 362/462; PPO, 415/570;
the two numbers refer to the excitation and emission wavelengths,
respectively). Without introduction of FQ-conjugated polymer, the PDPA-AMCA and PDPA-MB nanoprobes showed only
3-fold fluorescence activation between the on and the off states at
pH 5.0 and 7.4, respectively (Figure 5a). Introduction
of PDPA-QSY35 to PDPA-AMCA or PDPA-MB resulted in a significant increase in fluorescence activation, which
reached a plateau when the molar fraction of PDPA-QSY35 became 67% (Supporting Information Figure
S20). At this composition, the RF values
reached approximately 90-fold, which are 30 times higher than those
without the FQs (Figure 5b, Supporting Information Figure S21). Similarly, introduction
of PDPA-QSY7 (50 mol %) to PDPA–PPO nanoprobes increased the RF value from
6 to >130-fold, respectively (Figure 5b).
Figure 5
Introduction
of FQ-conjugated PDPA copolymer significantly
increased the fluorescence activation ratio of different PDPA-dye nanoprobes. Fluorescence intensity ratio at different pH to pH 7.4
(FpH/F7.4)
was plotted for copolymer alone (a, c, and e) and with addition of
FQ-conjugated copolymers (b, d, f). See main text for detailed description
and Supporting Information Figure S19 for
the structures of the dyes and FQs.
Introduction
of FQ-conjugated PDPA copolymer significantly
increased the fluorescence activation ratio of different PDPA-dye nanoprobes. Fluorescence intensity ratio at different pH to pH 7.4
(FpH/F7.4)
was plotted for copolymer alone (a, c, and e) and with addition of
FQ-conjugated copolymers (b, d, f). See main text for detailed description
and Supporting Information Figure S19 for
the structures of the dyes and FQs.For the BODIPY family of dyes, the PDPA-BDY493 and PDPA-TMR nanoprobes only yielded a ∼15-fold
increase
of fluorescence upon activation (Figure 5c),
which is not adequate for biological applications (e.g., during cellular
imaging, an RF value >30 is necessary
to suppress the background signal). Introduction of PDPA-BHQ1 (50 mol %) and PDPA-QSY7 (50 mol %) to the PDPA-BDY493 and PDPA-BDYTMR nanoprobes led to dramatically increased RF values (both >100-fold, Figure 5d, Supporting Information Figure
S22). Interestingly, PDPA-BDY630 alone was able to achieve
a 40-fold RF value. Addition of PDPA-QSY21 further increased the RF value to over 250-fold (Figure 5d).Previous studies showed that rhodamine and cyanine dyes with small
Stokes shifts (<40 nm) were able to produce UPS nanoprobes with
large RF values through the homoFRET-induced
fluorescence decay mechanism.[20] Results
from this study confirmed the previous report, where PDPA-dye copolymers alone reached >50-fold and >100-fold for rhodamine
and
cyanine dyes, respectively. Addition of FQ-conjugated copolymer (except
Cy7.5 for which there is no FQ) further increased the RF values for these nanoprobes (Figure 5f, Supporting Information Figures
S23–25).Figure 5e and 5f
summarizes the fluorescence activation ratios (RF = F5.0/F7.4) for all fluorophores used in the PDPA nanoprobes
with and without introduction of fluorescence quenchers. Data show
that with addition of FQ-conjugated polymer all fluorophores (12
in total) showed universally high activation ratios (>50-fold)
regardless
of the Stokes shift or PeT mechanism. In addition, introduction of
FQ-conjugated polymer did not affect the sharpness of pH transitions
(all composite nanoprobes had <0.25 pH unit between on and off
states, Figure 5b and 5d and Supporting Information Figure S25b
and S25d).Cell uptake studies of (PDPA-MB/PDPA-QSY35) and (PDPA-BDY493/PDPA-BHQ1) nanoprobes showed significantly
increased
cellular imaging contrast over the medium background. These nanoprobes
remained silent in the cell culture medium. Upon uptake in the endosomes/lysosomes
in the H2009 lung cancer cells, the nanoprobes were activated by the
acidic organelle pH, leading to dramatically increased fluorescence
intensity. The SNRcell/SNRMed ratios increased
to 29- and 94-fold for (PDPA-MB/PDPA-QSY35) and (PDPA-BDY493/PDPA-BHQ1) nanoprobes, respectively, much higher
than those without the fluorescence quenchers (Supporting Information Figures S17 and S18).
UPS Library
Spanning a Large Range of pH Transitions and Fluorescence
Emissions
On the basis of the above results, we produced
a representative UPS library consisting of 10 nanoprobes each encoded
with a different fluorophore. The composition for each nanoprobe follows
that from Figure 4d (see Supporting Information Tables S3 and S4 for details), which
resulted in a collection with 0.3 pH increments in the pH span of
4 to 7.4. For each nanoprobe, a series of aqueous solutions of the
copolymer at the same polymer concentration (i.e., 0.1 mg/mL) but
different pH values was prepared. For 4.4-AMCA, 4.7-MB, 5.0-BDY493, and 6.2-BDY630 nanoprobes, the corresponding copolymers were mixed with the same
equivalent of FQ-conjugated matching copolymers to achieve high on/off
contrast. Figure 6 shows the emission image
of the UPS nanoprobe library at the excitation/emission wavelengths
corresponding to each fluorophore. To evaluate the potential toxic
effects of the UPS nanoprobes, we performed MTT assay in the H2009
lung cancer cells. H2009 cells were incubated with increasing concentrations
(from 0.1 to 100 μg/mL) of different nanoprobes in the cell
culture medium for 48 h at 37 °C (typical imaging dose is below
100 μg/mL). Results showed minimal toxicity (cell viability
> 90%) for a majority of the nanoprobes (Supporting
Information Figure S26). UPS7.1 and UPS6.8 showed slightly higher toxicity (80% viability) at 100 μg/mL.
Current work is in progress to study the pH-dependent perturbation
of lysosome catabolism and oncogenic signaling pathway and their impact
on cell viability at higher doses (>400 μg/mL) of the UPS
nanoparticles.
Figure 6
Exemplary UPS library consisting of 10 nanoprobes spanning
a wide
pH range (4–7.4) and large fluorescent emissions (400–820
nm). Each nanoprobe is encoded by its transition pH and fluorophore.
Images of 4.4-AMCA and 4.7-MB were taken
by a camera at an excitation light of 365 nm. Images of the rest of
the nanoprobe solutions were taken on a Maestro Imaging system.
Exemplary UPS library consisting of 10 nanoprobes spanning
a wide
pH range (4–7.4) and large fluorescent emissions (400–820
nm). Each nanoprobe is encoded by its transition pH and fluorophore.
Images of 4.4-AMCA and 4.7-MB were taken
by a camera at an excitation light of 365 nm. Images of the rest of
the nanoprobe solutions were taken on a Maestro Imaging system.Results from Figure 6 illustrate the exquisite
pH sensitivity of the UPS nanoprobes to the external environment spanning
the entire physiologic pH of 4–7.4. In the lowest pH range,
the 4.4-AMCA nanoprobe was off at pH 4.55 but can be
turned on at pH 4.25. This nanoprobe can be useful in detection of
functional lysosomal pH where hydrolases require a lower pH for enzyme
activity. The on/off characteristics of the nanoprobes make them particularly
useful in high-throughput screening applications to identify molecular
pathways or small molecular perturbators that affect lysosomal function.
The nanoprobes covering the higher pH range (e.g., 6.5–7.1)
can be useful for differentiation of the acidic pHe of
tumors with different glycolysis rates of the cancer cells.[22,36] The nanoprobes in the intermediate range (e.g., 5.0–6.5)
may be useful for study of the maturation of endosomes/lysosomes
and to establish organelle-specific compositions for subcellular imaging
or drug delivery applications.
Conclusions
We
report a robust method for development of ultra-pH-sensitive
(UPS) micellar nanoprobes with significantly improved pH control and
broadened fluorophore selection over the previous methods.[19,20] Through a copolymerization strategy for synthesis of the ionizable
block, we demonstrate the ability to achieve an operator-predetermined
control of the transition pH of the UPS nanoprobes based on standard
curves. Importantly, matching of the hydrophobicity of the two monomers
is critical to ensure the sharpness of pH transition (i.e., <0.25
pH between the on and the off states). Introduction of fluorescence
quenchers in the core of the UPS nanoprobes further broadens the fluorophore
choice to those with large Stokes shifts. On the basis of these findings,
we established a UPS nanoprobe library consisting of 10 components
with 0.3 pH increment that span the entire physiologic range of pH
(4–7.4). Each nanoprobe maintained exquisite sensitivity to
the environmental pH. The availability of the UPS library opens up
many exciting opportunities for basic biological research (e.g., endosome/lysosome
biology) as well as for translational studies in tumor imaging and
drug delivery.
Authors: Galia Blum; Stefanie R Mullins; Kinneret Keren; Marko Fonovic; Christopher Jedeszko; Mark J Rice; Bonnie F Sloane; Matthew Bogyo Journal: Nat Chem Biol Date: 2005-08-14 Impact factor: 15.040
Authors: Geoffrey von Maltzahn; Ji-Ho Park; Kevin Y Lin; Neetu Singh; Christian Schwöppe; Rolf Mesters; Wolfgang E Berdel; Erkki Ruoslahti; Michael J Sailor; Sangeeta N Bhatia Journal: Nat Mater Date: 2011-06-19 Impact factor: 43.841
Authors: Jinglei Ping; Jacquelyn E Blum; Ramya Vishnubhotla; Amey Vrudhula; Carl H Naylor; Zhaoli Gao; Jeffery G Saven; Alan T Charlie Johnson Journal: Small Date: 2017-06-14 Impact factor: 13.281
Authors: David R Wilson; Denis Routkevitch; Yuan Rui; Arman Mosenia; Karl J Wahlin; Alfredo Quinones-Hinojosa; Donald J Zack; Jordan J Green Journal: Mol Ther Date: 2017-05-04 Impact factor: 11.454