Developing multifunctional and easily prepared nanoplatforms with integrated different modalities is highly challenging for molecular imaging. Here, we report the successful transfer of an important molecular target, melanin, into a novel multimodality imaging nanoplatform. Melanin is abundantly expressed in melanotic melanomas and thus has been actively studied as a target for melanoma imaging. In our work, the multifunctional biopolymer nanoplatform based on ultrasmall (<10 nm) water-soluble melanin nanoparticle (MNP) was developed and showed unique photoacoustic property and natural binding ability with metal ions (for example, (64)Cu(2+), Fe(3+)). Therefore, MNP can serve not only as a photoacoustic contrast agent, but also as a nanoplatform for positron emission tomography (PET) and magnetic resonance imaging (MRI). Traditional passive nanoplatforms require complicated and time-consuming processes for prebuilding reporting moieties or chemical modifications using active groups to integrate different contrast properties into one entity. In comparison, utilizing functional biomarker melanin can greatly simplify the building process. We further conjugated αvβ3 integrins, cyclic c(RGDfC) peptide, to MNPs to allow for U87MG tumor accumulation due to its targeting property combined with the enhanced permeability and retention (EPR) effect. The multimodal properties of MNPs demonstrate the high potential of endogenous materials with multifunctions as nanoplatforms for molecular theranostics and clinical translation.
Developing multifunctional and easily prepared nanoplatforms with integrated different modalities is highly challenging for molecular imaging. Here, we report the successful transfer of an important molecular target, melanin, into a novel multimodality imaging nanoplatform. Melanin is abundantly expressed in melanotic melanomas and thus has been actively studied as a target for melanoma imaging. In our work, the multifunctional biopolymer nanoplatform based on ultrasmall (<10 nm) water-soluble melanin nanoparticle (MNP) was developed and showed unique photoacoustic property and natural binding ability with metal ions (for example, (64)Cu(2+), Fe(3+)). Therefore, MNP can serve not only as a photoacoustic contrast agent, but also as a nanoplatform for positron emission tomography (PET) and magnetic resonance imaging (MRI). Traditional passive nanoplatforms require complicated and time-consuming processes for prebuilding reporting moieties or chemical modifications using active groups to integrate different contrast properties into one entity. In comparison, utilizing functional biomarker melanin can greatly simplify the building process. We further conjugated αvβ3 integrins, cyclic c(RGDfC) peptide, to MNPs to allow for U87MGtumor accumulation due to its targeting property combined with the enhanced permeability and retention (EPR) effect. The multimodal properties of MNPs demonstrate the high potential of endogenous materials with multifunctions as nanoplatforms for molecular theranostics and clinical translation.
Naturally produced
biopolymers in living organisms play crucial
roles in materials discovery and development. They have inspired scientists
to synthesize novel biomaterials through mimicking Mother Nature,
or they can further serve as templates and building blocks to prepare
new generations of biocompatible, bioregenerative, or biodegradable
materials for biomedical applications. For instance, DNA has been
used to rationally design plasmonic nanostructures,[1] to build nanoscaffolds for incorporating multiple-affinity
ligands,[2] and to self-assemble into numerous
prescribed 3D shapes.[3] Cellular membranes
have also been widely imitated by phospholipids and polysaccharides
to form liposome or micelles for drug and imaging agent delivery.[4,5] Leukocyte membranes have also been used to coat silicon nanoparticles
(NPs) to yield hybrid NPs that achieve cell-like functions, including
avoiding clearance by the immune system.[6] All these studies highlight the power of biomimicry for development
of novel biomaterials.Multimodal imaging combines different
modalities together to provide
complementary information and achieve synergistic advantages over
any single modality alone. It has emerged as a very promising strategy
for preclinical research and clinical applications.[7] One major challenge of multimodal imaging is to develop
an efficient platform to load various components with individual contrast
properties together while maintaining compact size, good biocompatibility
and targeting capability. A variety of nanomaterials have been explored
for multimodal imaging. In particular, exogenous inorganic NPs-based
reporters have attracted considerable interests,[8−11] such as iron oxide NPs for magnetic
resonance imaging (MRI) and quantum dots for fluorescence imaging.
Compared with inorganic NPs, organic NPs generally exhibit good biocompatibilities,
biodistribution and clearance, although most of them only appear to
possess optical imaging properties.[12] Some
biomolecules based NPs such as liposomes have been widely used for
loading contrast agents and drugs. But they themselves lack intrinsic
contrast properties and only function as carriers. Therefore, such
biomolecules need complicated and time-consuming processes to prebuild
various contrast properties or require chemical modifications to integrate
different reporting moieties into one entity, which we term as a passive
platform. For example, organic ligands are generally incorporated
into a nanoplatform before chelating to radioactive or magnetic metal
ions for positron emission tomography (PET)[13] and magnetic resonance imaging (MRI).[14]Melanin, an amorphous, irregular functional biopolymer and
a ubiquitous
natural pigment that presents in many organisms including human skin,
is a typical biomarker for disease imaging including melanoma detection
and Parkinson diseases diagnosis.[15−17] In this study, we report
the successful transferring of this biomarker into an imaging nanoplatform.By mimicking natural melanin, water-soluble melanin nanoparticle
(MNP) has been synthesized and used as the active platform for multimodal
imaging of tumors. We demonstrate that MNP can not only offer its
native optical properties for photoacoustic imaging (PAI), but also
actively chelate to metal ions (64Cu2+, Fe3+) for PET and MRI with a high loading capacity and stability
utilizing its intrinsic chelating function. Furthermore, ultrasmall
size MNPs (∼4.5 nm) can be easily prepared and surface-modified.
Overall, these unique properties significantly simplify the process
of preparation of multimodal imaging probes and make MNP a highly
promising nanomaterial for biomedical applications.
Results
Synthesis and
Characterization of MNPs
Figure 1 schematically
illustrates the procedure to prepare
ultrasmall water-soluble MNP with multimodal imaging properties. To
change the intrinsic poor water-solubility of melanin, pristine melanin
granule was first dissolved in a 0.1 N NaOH[18] and then neutralized under the assistance of sonication to decrease
interchain aggregation. Ultrasmall MNP in high water monodispersity
and homogeneity with a size of 4.5 ± 0.5 nm, which was termed
as plain water-soluble MNP (PWS-MNP), were successfully obtained (Figure 2A,B and Figure S1A, Supporting
Information). PWS-MNP exhibited excellent water-solubility
of 40 mg/mL and stability, which can be attributed to the highly negative
potential of approximately −22.2 mV on the NP surface that
efficiently blocks the NP aggregation through electrostatic repulsion
(Figure S1B). Furthermore, PWS-MNP can
be stored as lyophilized powder for over six months and effectively
redissolved in water allowing long-term usage (Figure 2A). The FT-IR spectra of pristine melanin granule and PWS-MNP
were similar to each other, indicating no significant change of molecular
structure (Figure S2A). The 1H NMR spectrum of PWS-MNP in D2O showed no obvious signal
belonging to the hydrogen atom on the arylene groups, suggesting most
of the conjugated backbones were buried in the NP (Figure S2B).[19] The molecular weight
of a PWS-MNP was calculated from the nanoparticle size and its density
(1.3 g/cm3), which is about 40 kDa.
Figure 1
Multimodality molecular
imaging of MNPs. The melanin granules were
first dissolved in 0.1 N NaOH aqueous solution, and then neutralized
under sonication to obtain melanin nanoparticles in high water monodispersity
and homogeneity. After PEG surface-modification, RGD was further attached
to the MNP for tumor targeting. Then Fe3+ and/or 64Cu2+ were chelated to the obtained MNPs for PAI/MRI/PET
multimodal imaging.
Figure 2
Characterization of physical
properties of MNPs. (A) From left
to right: pictures of (1) pristine melanin granule in H2O, (2) melanin neutralized without sonication in H2O,
(3) freeze-dried PWS-MNP, (4) freeze-dried PWS-MNP redissolved in
PBS (pH = 7.4), (5) freeze-dried PEG-MNP, (6) freeze-dried PEG-MNP
redissolved in PBS (pH = 7.4). (B) TEM of PWS-MNP (left) and PEG-MNP
(right), scale bar = 20 nm. (C) The plot of the relationship between
the number of metal ions attached on one MNP with feed ratio (Wions: WMNP). (D)
Stability study of metal ion-chelated MNPs in PBS (pH = 7.4).
Multimodality molecular
imaging of MNPs. The melanin granules were
first dissolved in 0.1 N NaOH aqueous solution, and then neutralized
under sonication to obtain melanin nanoparticles in high water monodispersity
and homogeneity. After PEG surface-modification, RGD was further attached
to the MNP for tumor targeting. Then Fe3+ and/or 64Cu2+ were chelated to the obtained MNPs for PAI/MRI/PET
multimodal imaging.Characterization of physical
properties of MNPs. (A) From left
to right: pictures of (1) pristine melanin granule in H2O, (2) melanin neutralized without sonication in H2O,
(3) freeze-dried PWS-MNP, (4) freeze-dried PWS-MNP redissolved in
PBS (pH = 7.4), (5) freeze-dried PEG-MNP, (6) freeze-dried PEG-MNP
redissolved in PBS (pH = 7.4). (B) TEM of PWS-MNP (left) and PEG-MNP
(right), scale bar = 20 nm. (C) The plot of the relationship between
the number of metal ions attached on one MNP with feed ratio (Wions: WMNP). (D)
Stability study of metal ion-chelated MNPs in PBS (pH = 7.4).In vitro and in vivo study of PAI of MNPs. (A)
The photoacoustic
signal produced by PEG-MNPs at concentrations of 0.625, 1.25, 2.5,
5.0, 10, and 20 μM, and it was observed to be linearly dependent
on its concentration (R2 = 0.995). (B)
Photoacoustic detection of PEG-MNP in living mice. Mice were injected
subcutaneously (region enveloped by blue dotted line) with PEG-MNP
at concentrations of 0, 5, 10 (from left to right in top row), and
20, 40, 80 (from left to right in bottom row) μM. One vertical
slice in the photoacoustic image (red) was overlaid on the corresponding
slice in the ultrasound image (gray). (C) The photoacoustic signal
from each inclusion was calculated. The background level represents
the endogenous signal measured from tissues. The linear regression
is calculated on the five most concentrated inclusions (R2 = 0.998). (D) The overlaying of ultrasonic (gray) and
photoacoustic (red) imagings of U87MGtumor (region enveloped by yellow
dotted line) before and after tail-vein injection of 250 μL
of 200 μM RGD-PEG-MNP in living mice (n = 3)
and their subtraction imagings. (E) Quantitative analysis of enhanced
PA signal of U87MGtumor after tail-vein injection with RGD-PEG-MNP
at 4 h, compared with at 0 h.To retain the water-solubility of PWS-MNPs for further biomodification
and metal ion-chelating, polyethylene glycol (PEG) chains[20] were introduced to the MNP. NH2-PEG5000-NH2 was used because the amine groups can react
with dihydroxyindole/indolequinone groups in melanin.[21] The number of PEG chains per MNP was determined to be 19
(Figure S3A and S3B). The diameter of the
PEG-functionalized MNP (PEG-MNP) became large and reached 7.0 nm (Figure 2B and Figure S1A). Moreover,
the surface potential of PEG-MNP decreased to −6.1 mV (Figure S1B) because of introduction of PEG and
positive NH2 groups on the MNP surface. The similar absorption
spectrum of PEG-MNP to PWS-MNP demonstrated that the PEG-modification
did not influence the absorption properties of melanin (Figure S3C). Lastly, for demonstrating that MNP
can be used as a platform for biomodification, PEG-MNP was further
modified with biomolecules such as cyclic Arg-Gly-Asp-d-phe-Cys
[c(RGDfC)] peptide (abbreviated as RGD), which can target tumor αvβ3 integrin.[22] The number of RGD attached to the MNP was calculated to be about
8 per MNP and the size of RGD-functionalized PEG-MNP (RGD-PEG-MNP)
increased a little to ∼9.6 nm (Figure S4).In vitro and in vivo study of MRI of Fe3+-chelated MNPs.
(A) T1 relaxation rates (1/T1, s–1) as a function of Fe-RGD-PEG-MNP
(mM) in agarose gel (1.0 T, 25 °C). (B) MRI detection of Fe-RGD-PEG-MNPs
in living mice. Mice were injected subcutaneously (region enveloped
by red dotted line) with Fe-RGD-PEG-MNPs at concentrations of 0, 1.25,
2.5 (from left to right in upper layer), and 5, 10, 20 (from left
to right in bottom layer) μM. (C) Quantitative analysis of enhanced
MR signal of U87MGtumor after tail-vein injection with RGD-PEG-MNP
at 4 h, compared with at 0 h. (D) MRI images of U87MGtumors (region
enveloped by yellow dotted line) before and after tail-vein injection
of 250 μL of 200 μM RGD-PEG-MNP in living mice (n = 3) (TR: 700 ms, TE: 5.2 ms). Top row shows black and
white images, and bottom row shows the pseudocolored images.
Chelating to Cu2+ and Fe3+
To
investigate the possibility of MNP as a platform for PET and MRI,
its chelating properties to Cu2+ (64Cu2+ for PET) and Fe3+ (for MRI) were studied. After adding
metal ions (0.2 mL of 10 mM FeCl3 or CuCl2)
into MNP aqueous solutions (1 mL of 20 μM for PWS-MNP and PEG-MNP),
the precipitation of PWS-MNP quickly appeared, while PEG-MNP maintained
good water-solubility (Figure S5). The
Fe3+ or Cu2+-chelated MNP (Fe-PEG-MNP, Fe-RGD-PEG-MNP,
Cu-PEG-MNP and Cu-RGD-PEG-MNP) exhibited high loading capacities.
The maximum quantities of one MNP to chelate to Cu2+ and
Fe3+ are about 100 and 90 ions, respectively, no matter
whether RGD is attached to the MNP or not (Figure 2C). After Fe3+-chelating, the MNP sizes increased
to ∼8.9 nm and ∼10.7 nm for Fe-PEG-MNP and Fe-RGD-PEG-MNP
respectively and their zeta-potential remained in the neutral region
(Figure S4 and Table S1).
Stability and
Biocompatibility of MNPs
The optical
stabilities of PEG-MNP and RGD-PEG-MNP under increasing durations
of light exposure were further tested. Compared with those reported
dyes for PAI, which exhibit significant reduced absorption (>30%)
under light exposure,[23] PEG-MNP and RGD-PEG-MNP
showed intriguing photostability (only 3% reduced absorption) (Figure S6), indicating their high capability
for PAI. Further stability assay of Fe3+ or Cu2+-chelated MNPs in PBS solution showed that only about 3% Cu2+ and 7% Fe3+ were released from those MNPs at the first
2 h, and there was no further release at longer incubation time points,
indicating the high stability of the chelating platform (Figure 2D). The first 2 h released metal ions may derive
from those that were absorbed on the MNPs through weak electrostatic
interaction. Furthermore, the high viability of NIH3T3 and U87MG cells
(about 90–110% as compared to the nontoxic control) after 24
h of incubation with PEG-functionalized MNPs was found, indicating
high biocompatibility and low cytotoxic effect of PEG-functionalized
MNPs (Figure S7).
PAI of MNPs
To
investigate the possibility of MNPs
to be used as a photoacoustic agent, we first studied the detection
sensitivity of PEG-MNP in aqueous solution at increasing concentrations
from 0.625 to 20 μM. The PEG-MNP with 0.625 μM was detected,
and the photoacoustic signals increased linearly with the increase
of PEG-MNP concentrations (R2 = 0.995)
(Figure 3A).
Figure 3
In vitro and in vivo study of PAI of MNPs. (A)
The photoacoustic
signal produced by PEG-MNPs at concentrations of 0.625, 1.25, 2.5,
5.0, 10, and 20 μM, and it was observed to be linearly dependent
on its concentration (R2 = 0.995). (B)
Photoacoustic detection of PEG-MNP in living mice. Mice were injected
subcutaneously (region enveloped by blue dotted line) with PEG-MNP
at concentrations of 0, 5, 10 (from left to right in top row), and
20, 40, 80 (from left to right in bottom row) μM. One vertical
slice in the photoacoustic image (red) was overlaid on the corresponding
slice in the ultrasound image (gray). (C) The photoacoustic signal
from each inclusion was calculated. The background level represents
the endogenous signal measured from tissues. The linear regression
is calculated on the five most concentrated inclusions (R2 = 0.998). (D) The overlaying of ultrasonic (gray) and
photoacoustic (red) imagings of U87MG tumor (region enveloped by yellow
dotted line) before and after tail-vein injection of 250 μL
of 200 μM RGD-PEG-MNP in living mice (n = 3)
and their subtraction imagings. (E) Quantitative analysis of enhanced
PA signal of U87MG tumor after tail-vein injection with RGD-PEG-MNP
at 4 h, compared with at 0 h.
The detection sensitivity
of MNP in living body was further tested by subcutaneous injection
of PEG-MNP on the lower back of mice (n = 3) at increasing
concentrations of 5 to 80 μM (Figure 3B). A linear correlation (R2 = 0.998)
between the MNP concentration and the corresponding photoacoustic
signal was observed in Figure 3C. The background
signal from tissue was quantified using the signals from the areas
without injection any contrast agent. 2.5 μM of PEG-MNP was
found to give the equivalent photoacuoustic signal strength as the
tissue background.To further investigate the in vivo PAI properties,
one group of
U87MGtumormice were tail-vein injected with 250 μL of RGD-PEG-MNP
at a concentration of 200 μM. Mice showed obvious increase of
photoacoustic signal in tumors after injection with RGD-PEG-MNP at
4 h than that of prescan (Figure 3D). The increased
photoacoustic signal of RGD-PEG-MNP (Figure 3E) could be attributed to the enhanced permeability and retention
(EPR) effect and the tumor targeting ability of RGD-PEG-MNP to αvβ3 integrin. Furthermore, instead of Vevo
LAZR PAI System, using Inveon research workplace (NEXUS 128) was able
to obtain 3D PA imaging, which provided the more clearly enhanced
blood vessel signals in tumor after MNP injection (Figure S8).In vitro and in vivo study of PET of 64Cu-labeled
MNPs.
(A) Uptake of 64Cu-RGD-PEG-MNP with and without blocking
in U87MG cells at 37 °C for 1, 2 and 4 h incubation. All results,
expressed as percentage of cellular uptake, are mean of triplicate
measurements ± SD. (B) Representative decay-corrected coronal
(top) and transaxial (bottom) small animal PET images (left three
images) and the overlaying of CT (gray) and PET (color) images (right
three images) of U87MGtumors (region enveloped by yellow dotted line)
acquired at 2, 4, and 24 h after tail vein injection of 64Cu-RGD-PEG-MNP. (C) Biodistribution of 64Cu-RGD-PEG-MNP
in mice (n = 3) at 2, 4, and 24 h after injection.
The radioactive signal from each organ was calculated using a region
of interest drawn over the whole organ region.
MRI of MNPs
To study whether Fe3+ (T1 contrast agent) retains MR signal-enhancing
property after loading into MNPs, T1-weighted
MRI images of various concentrations of Fe-RGD-PEG-MNP in agarose
gel was investigated (Figure S9A). With
the increase of NP concentration, MR signal was significantly enhanced,
suggesting Fe-RGD-PEG-MNP generate a high magnetic field gradient
on their surface. R1 value of Fe-RGD-PEG-MNP (the slope
of the fitted curve in Figure 4A, using Gd3+ as standard) was calculated to be 1.2 mM–1 s–1.
Figure 4
In vitro and in vivo study of MRI of Fe3+-chelated MNPs.
(A) T1 relaxation rates (1/T1, s–1) as a function of Fe-RGD-PEG-MNP
(mM) in agarose gel (1.0 T, 25 °C). (B) MRI detection of Fe-RGD-PEG-MNPs
in living mice. Mice were injected subcutaneously (region enveloped
by red dotted line) with Fe-RGD-PEG-MNPs at concentrations of 0, 1.25,
2.5 (from left to right in upper layer), and 5, 10, 20 (from left
to right in bottom layer) μM. (C) Quantitative analysis of enhanced
MR signal of U87MG tumor after tail-vein injection with RGD-PEG-MNP
at 4 h, compared with at 0 h. (D) MRI images of U87MG tumors (region
enveloped by yellow dotted line) before and after tail-vein injection
of 250 μL of 200 μM RGD-PEG-MNP in living mice (n = 3) (TR: 700 ms, TE: 5.2 ms). Top row shows black and
white images, and bottom row shows the pseudocolored images.
The magnetic sensitivity in living
mice was then tested by subcutaneous injection of Fe-RGD-PEG-MNP on
the lower back of mice (n = 3) at increasing concentrations
of 1.25 to 20 μM. It was extrapolated that 1.25 μM of
Fe-RGD-PEG-MNP produced the equivalent MRI signal intensity as the
tissue background (Figure 4B).To demonstrate
the use of MNP as the platform for MRI of tumors, T1-weighted images were obtained from mice bearing
U87MGtumors (n = 3). U87MGtumors displayed increased
signals after 4 h MNP injection (Figure 4D).
The relative MR signal intensity of tumor at 4 h increased 30% compared
with at 0 h, demonstrating that MNP can be used as a platform for
MRI (Figure 4C). Furthermore, further optimizing
the MR imaging conditions can provide more clearly enhanced MRI signal
and MNP accumulation in tumor (Figure S9B).
PET of MNPs
To investigate the PET imaging properties
of MNP, 64Cu2+ was selected as a PETradiolabel
for MNP because it can be readily chelated by melanin and the intermediate
half-life of 64Cu2+ (12.7 h) makes it suitable
for radiolabeling of biomolecules and imaging.[24−26] Simple mixing
of RGD-PEG-MNP and PEG-MNP with 64Cu2+ allowed
successfully labeling the NPs in the yield of 80%. The resulting MNPs, 64Cu-RGD-PEG-MNP and 64Cu-PEG-MNP, displayed excellent
stability in PBS solution (Figure S10).
Similar to Cu2+-chelated MNPs, only ∼3% 64Cu2+ released from the MNPs after 24 h of incubation.
Thus, 64Cu-labeled MNPs were easily and reliably produced
and exhibited reasonable stability in vitro.In vivo multimodality
imaging of tumor (region enveloped by yellow
dotted line) bearing mice with PAI and MRI/PET respectively. (A) Photographic
images of U87MGtumor bearing mice. (B) The overlaying of ultrasonic
(gray) and photoacoustic (red) imaging of U87MGtumor before and after
tail-vein injection of 64Cu-Fe-RGD-PEG-MNP (200 μL
of 10 μM) in living mice and their subtraction imaging. (C)
The overlaying of representative decay-corrected coronal (top) and
transaxial (bottom) small animal CT (gray) and PET (color) images
of U87MGtumors acquired at 2, 4, and 24 h after tail vein injection
of 64Cu-Fe-RGD-PEG-MNP and Fe-RGD-PEG-MNP (250 μL
of 200 μM). (D) MRI images of U87MGtumor before and after tail-vein
injection of 64Cu-Fe-RGD-PEG-MNP and Fe-RGD-PEG-MNP (250
μL of 200 μM) in living mouse. Top row shows black and
white images, and bottom row shows the pseudocolored images. White
arrow refers to the tumor position.Uptake of 64Cu-RGD-PEG-MNP by U87MG cells with
or without
blocking agent RGD at 1, 2, and 4 h are shown in Figure 5A. 64Cu-RGD-PEG-MNP exhibited higher uptakes than
blocking group at all the incubation time, with a value of 3.32 ±
0.37%, 5.32 ± 0.43% and 7.18 ± 0.33% for 64Cu-RGD-PEG-MNP
at 1, 2, and 4 h. In comparison, for 64Cu-RGD-PEG-MNP blocking
group, much lower uptake of 64Cu-RGD-PEG-MNP was observed
with a value of 2.00 ± 0.15%, 3.16 ± 0.20% and 3.48 ±
0.29% at 1, 2, and 4 h, respectively, indicating the successful biomodification
of MNPs with RGD peptide and the specific targeting ability of RGD
contribute to the uptake of 64Cu-RGD-PEG-MNP by U87MG cells.
Figure 5
In vitro and in vivo study of PET of 64Cu-labeled
MNPs.
(A) Uptake of 64Cu-RGD-PEG-MNP with and without blocking
in U87MG cells at 37 °C for 1, 2 and 4 h incubation. All results,
expressed as percentage of cellular uptake, are mean of triplicate
measurements ± SD. (B) Representative decay-corrected coronal
(top) and transaxial (bottom) small animal PET images (left three
images) and the overlaying of CT (gray) and PET (color) images (right
three images) of U87MG tumors (region enveloped by yellow dotted line)
acquired at 2, 4, and 24 h after tail vein injection of 64Cu-RGD-PEG-MNP. (C) Biodistribution of 64Cu-RGD-PEG-MNP
in mice (n = 3) at 2, 4, and 24 h after injection.
The radioactive signal from each organ was calculated using a region
of interest drawn over the whole organ region.
The in vivo PET of MNPs was performed in U87MG-tumor-bearing mice. 64Cu-RGD-PEG-MNP showed tumor accumulation and clear tumor
contrast after 2 h postinjection (Figure 5B).
Quantification analysis revealed that the tumor uptake values of 64Cu-RGD-PEG-MNP gradually increased with time to 24 h, and
they were 4.75 ± 0.63, 5.87 ± 0.87, and 5.93 ± 0.89%
ID/g at 2, 4, and 24 h, respectively (Figure 5C). In addition to the tumor, moderate activity accumulation was
observed in the liver (e.g., 15.78 ± 2.55% ID/g at 24 h for all
MNPs), and relative lower activity accumulation was also found in
the kidneys (e.g., 5.34 ± 0.62% ID/g at 24 h for all MNPs). These
data indicated the MNP was cleared mainly through hepatobiliary system.
To further investigate the possible targeting property of MNPs, the 64Curadiolabeled RGD-PEG-MNP and control cyclic Arg-Ala-Asp-d-phe-Cys [c(RADfC)] peptide (abbreviated as RAD, with nontargeting
property for tumor αvβ3 integrin)
functionalized PEG-MNP (64Cu-RAD-PEG-MNP) for U87MGtumorPET imaging were compared with each other (Figure
S11). The obvious stronger PET signal of 64Cu-RGD-PEG-MNP
can be found in tumor at 4 h than that of 64Cu-RAD-PEG-MNP
(P < 0.05), indicating the good and specific targeting
property of RGD-PEG-MNP.
PET and PAI/MRI of 64Cu-Fe-RGD-PEG-MNP
To
investigate the possibility of using MNP platform for multimodality
imaging, MNP were mixed with Fe3+ and 64Cu2+ in sequence to form the multifunctional probes Fe-RGD-PEG-MNP
and 64Cu-Fe-RGD-PEG-MNP (the amount of Fe3+ per
MNP is 56) for PET/PAI/MRI. PET of mice bearing U87MGtumors were
then obtained first at 2, 4, and 24 h postinjection of 64Cu-Fe-RGD-PEG-MNP. After 48 h, T1-weighted
MRI and PAI of mice bearing U87MGtumors were then obtained respectively
at 4 h after another injection of large dose of Fe-RGD-PEG-MNP. In
Figure 6, 64Cu-Fe-RGD-PEG-MNP showed
very similar PET, MRI and PAI properties on U87MGtumor, compared
with the corresponding single modality imaging from 64Cu-RGD-PEG-MNP,
Fe-RGD-PEG-MNP, and RGD-PEG-MNP respectively. These results showed
that using MNP as the active platform to load 64Cu2+ and Fe3+ together can efficiently combine its
native photoacoustic properties with radioactive and magnetic properties
together for multimodality imaging.
Figure 6
In vivo multimodality
imaging of tumor (region enveloped by yellow
dotted line) bearing mice with PAI and MRI/PET respectively. (A) Photographic
images of U87MG tumor bearing mice. (B) The overlaying of ultrasonic
(gray) and photoacoustic (red) imaging of U87MG tumor before and after
tail-vein injection of 64Cu-Fe-RGD-PEG-MNP (200 μL
of 10 μM) in living mice and their subtraction imaging. (C)
The overlaying of representative decay-corrected coronal (top) and
transaxial (bottom) small animal CT (gray) and PET (color) images
of U87MG tumors acquired at 2, 4, and 24 h after tail vein injection
of 64Cu-Fe-RGD-PEG-MNP and Fe-RGD-PEG-MNP (250 μL
of 200 μM). (D) MRI images of U87MG tumor before and after tail-vein
injection of 64Cu-Fe-RGD-PEG-MNP and Fe-RGD-PEG-MNP (250
μL of 200 μM) in living mouse. Top row shows black and
white images, and bottom row shows the pseudocolored images. White
arrow refers to the tumor position.
Discussion
To
change the lack of contrast properties of biomolecule-based
nanoplatform for multimodality imaging, recently porphyrin were successfully
introduced into phospholipid to provide the platform with desirable
optical properties,[27−29] while it still requires complicated and time-consuming
chemical modifications and other reporting molecules to achieve multimodality
imaging ability. We herein developed the functional biomarker, melanin,
as a novel nanoplatform with its native optical property and multifunctions,
which can simply and actively collecting optical, magnetic and radioactive
properties together for multimodality imaging. Melanin, the oxidation
products of tyrosine, plays an important role in living organism.[30] Accompanied with the development of molecular
imaging probes in the past decade, melanin has been used as an effective
molecular target[31−33] as well as endogenous contrast agent for PAI because
of its strong light absorption properties.[34,35] Besides, melanin has intrinsic strong chelating properties to many
metal ions including Cu2+ and Fe3+,[36−38] which can be used to nuclear imaging and MRI. Consequently melanotic
melanomas show hyperintensity on T1-weighted
MRI images.[39,40]Considering the attractive
properties of the biomarker melanin,
we and others have engineered cancer cells to biologically produce
melanin for multimodality imaging (PAI/MRI/PET) of cancer.[41−43] However, this method requires genetic modification of cells, which
is time-consuming and may have limited clinical value. Thus, water-soluble
MNPs are more appropriate to behave as a natural “active platform”
to simplify the preparation procedure for multimodal applications.
Considering only trace amount of 64Cu2+ ions
utilized for PET and its final decay to Zn2+ ions, which
is necessary for life process, and the abundant amount of Fe3+ ions in living body, 64Cu2+ and Fe3+ ions used in our system are expected to be metabolized in living
subjects. In comparison, although Gd3+ ion has higher T1 MRI effect than Fe3+ ion, its potential
toxicity is still a problem. Concomitantly, the traditional nanoparticle-based
platform needs complicated functionalization of ligand to chelate
Gd3+ for MRI and 64Cu2+ for PET.
More interestingly, the new MNP system can serve as an active nanoplatform
and easily bind with metal ions without the traditional needs of surface
modification and introducing chelating groups, which significantly
simplifies the preparation process and reduces the heterogeneity of
the resulting multimodal NPs. Furthermore, the MNP is an organic and
biodegradable material and showed relatively good tumor imaging properties.
All of these properties make MNPs highly promising for potential clinical
translation.Despite its important functions, developing melanin
for molecular
imaging was highly subjected to its intrinsic poor water-solubility.
Therefore, preparing MNPs is desired while still a challenge for well-dispersing
in water, especially for those with size around 10 nm that can provide
not only appropriate blood circulation time, but also high surface-to-volume
ratio to chelate enough metal ions for efficient bioimaging. Although
the formation mechanism of polymeric melanin is not clear, its molecular
structure is generally considered to be composed of dihydroxyindole/indolequinone
segments with hydrophobic conjugated main chain having strong π–π
interaction and hydrophilic hydroxyl groups on the benzene rings.[44] Therefore, to realize melaninwater-soluble
at neutral environments, decreasing the interchain π–π
aggregation of conjugated main chains and lowering the formed melanin
particle size to expose more hydrophilic hydroxy groups on the surface
of melanin is a promising way. In our work, we first realized the
synthesis of ultrasmall MNPs in water with high monodispersity and
homogeneity under the assistance of sonication. Another problem that
should be resolved is the metal ion-initiated cross-linking and the
formation of MNP precipitation. Recent reports showed that Fe3+ is a strong cross-linker for catechol groups,[45] which is one of the components in melanin molecular
structure. In our work, PEG encapsulation is found can not only enhance
the biocompatibility and the water-solubility, but also efficiently
prevent the formation of metal ion-initiated precipitation.Investigation on the in vivo subcutaneous phantom showed that the
signals between MRI and PAI had good linear relationship (Figure S12). In addition, the slope of enhanced
PA signal with different concentrations was higher than that of MRI
signal, indicating the PAI imaging of MNP was more sensitive than
the MRI imaging. Moreover, because of their easy conjugation with
targeting groups, the MNPs modified with RGD exhibited the tumor targeting
ability to the αvβ3 integrin overexpressed
on the surface of tumor vasculatures and the U87MGtumor cells (from
PET data), which afforded RGD-conjugated MNPs higher accumulation
capability in tumor than those RAD-modified MNPs through enhanced
permeability and retention (EPR) effect. This further indicated that
MNPs can conveniently function as a good nanoplatform for targeted
imaging.Though it is difficult to compare the imaging effects
of our platform
with other type of nanoplatforms (considering the lack of the triplemodality
analogues), we demonstrated the unique ability of MNP nanoplatform
to combine PET, photoacoustic and MR imaging modalities together to
get complementary information for tumor imaging. For example, PET
efficiently provides the in vivo pharmacokinetics and biodistribution
of the nanoprobes and can also provide physiological information on
disease with whole body imaging capability, but it cannot image tissues
at high spatial resolution; PAI provides functional and molecular
information on the tumor with high spatial resolution. It is a cheap
and convenient way to image tumor in real time but suffers from limited
tissue penetration ability, which can be compensated by PET. MRI provides
high spatial resolution image and anatomical information on disease
but generally lacks of molecular imaging capability. Combination of
PET/PAI/MRI thus allows us to image diseases at different depths with
molecular and anatomical information.Recent developments showed
that multimodality imaging is promising
not only for accurate tumor imaging but also for guiding tumor resection.
For example, PET/MRI, which combines the exquisite anatomical information
by MRI with the extreme sensitivity of PET, can be used for whole-body
imaging and deep tumor localization. MRI/fluorescence imaging (FI)
is appropriate for guiding superficial tumor resection. In comparison,
combining PET/MRI/PAI together is anticipated to help for guiding
both superficial and deep tumor surgery. To our knowledge, no such
triple-modality nanoplatform was reported so far. Accordingly, our
triple-modality MNP system can be first used for PET and MRI to obtain
the detailed information on tumor for surgical planning in presurgery.
PAI can then be used to localize the superficial and relatively deep
tumors in surgery for helping the tumor resection. Overall, a reliable
method for preparation of water-soluble MNP has been developed in
our work, which lays down a foundation for its future biomedical applications.
It can be easily envisioned that MNP can serve as a nanoplatform not
only for molecular imaging but also for theranostics. Considering
the abundant functionalities of melanin, such as binding drugs,[46] MNP-based platform used for drug delivery and
therapy are now being investigated.
Conclusion
In
conclusion, we report MNP as the natural biomarker-transferred
active platform for multimodality imaging. MNP is of particular interest
because such an endogenous agent with native photoacoustic signals
and strong chelating properties with metal ions can act as an active
platform to simplify the assembling of different imaging moieties.
MNP can be easily modified with biomolecules for targeted tumor multimodality
imaging, and it showed good in vivo tumor imaging properties. We expect
this work will stimulate further studies of multifunctional endogenous
material as nanoplatforms for potential imaging and therapeutic applications.
Materials and Methods
Materials
The
following reagents were acquired and
used as received: melanin (Sigma-Aldrich), sodium hydroxide (Sigma-Aldrich),
hydrochloric acid (37 wt %, Sigma-Aldrich), NH4OH solution
(28 wt %, Sigma-Aldrich), amine-PEG5000-amine (NH2-PEG5000-NH2, 5 kDa, Laysan Bio), dimethylthiazolyl-diphenyltetrazolium
(MTT; Biotium), phosphate buffered saline (PBS, Gibco), and agarose
(Invitrogen). Millipore water (at 18 MOhm) was used.
Preparation
of PWS-MNP
Tyrosine-derived synthetic melanin
(20 mg) was first dissolved in 10 mL of 0.1 N NaOH aqueous solution
under vigorous stirring. After dissolving, HCl aqueous solution (0.1
N) was swiftly dropped into the obtained basic melanin solution to
adjust the pH to 7.0 under sonication with output power = 10 W for
1 min. A bright black melanin aqueous solution was obtained. The neutralized
solution was further centrifuged with a centrifugal-filter (Amicon
centrifugal filter device, MWCO = 30 kDa) and washed with deionized
water and repeated several times to remove the produced NaCl. The
aqueous solvent was removed by freeze-drying to obtain 15 mg black
solid of PWS-MNP.
Surface Modification of MNP with NH2-PEG5000-NH2 (PEG-MNP)
NH4OH solution (28
wt %) was added to 5 mL of PWS-MNP aqueous solution (1 mg/mL of water)
to adjust the pH of the solution to 9. This mixed solution was added
dropwise into NH2-PEG5000-NH2 (5,
10, 25, and 50 mg) aqueous solution with pH = 9. After vigorous stirring
for 12 h, PEG-modified MNP was retrieved by centrifugation with a
centrifugal-filter (Amicon centrifugal filter device, MWCO = 30 kDa)
and washed with deionized water several times by redispersion/centrifugation
processes to remove the unreacted NH2-PEG5000-NH2. The aqueous solvent was removed by freeze-drying
and the obtained PEG-MNP was weighed to preliminary calculate the
quantity of the PEG attached on MNPs. Because of the existence of
one NH2 group per PEG chain on the surface of MNP, we then
accurately determined the NH2 group on MNP with fluorescamine
by spectrofluorometer to calculate the amount of PEG on the nanoparticles
(using ethamine as the standard).
Conjugation of PEG-MNP
with RGD (RGD-PEG-MNPs)
The
cross-linker solution was prepared freshly. The 4-(N-maleimidomethyl)cyclohexane-1-carboxylic acid 3-sulfo-N-hydroxysuccinimide ester sodium salt (sulfo-SMCC) (1.2 mg) was first
dissolved in 36 μL of dimethyl sulfoxide (DMSO). The water-soluble
PEG-MNP [1 mg in 1 mL of PBS (pH = 7.2)] was incubated with the above
cross-linker solution for 2 h at room temperature. The resultant thiol-active
MNP ran through a PD-10 column prewashed with PBS (pH = 7.2, 10 mM)
to remove the excessive sulfo-SMCC and byproducts. The purified MNP
was concentrated to the final volume of 0.5 mL with a centrifugal-filter
(MWCO = 30 kDa). The cRGDfC stock solution (120 μL of 5 mM in
the degassed water) was added to the above MNP solution with stirring.
The conjugation reaction proceeded for 24 h at 4 °C. The uncoupled
RGD peptide was removed through a PD-10 column and collected to analyze
its quantity through HPLC. The number of coupled RGD on one MNP was
then calculated. The resultant product, RGD-PEG-MNP, were concentrated
by a centrifugal-filter (MWCO = 30 kDa) and stored at 4 °C for
one month without losing targeting activity. The final RGD-PEG-MNP
were reconstituted in PBS and filtered through a 0.22 μm filter
for cell and animal experiments.
Preparation of Fe3+ or Cu2+ chelated RGD-PEG-MNPs
and PEG-MNPs
The MNP (1 mg in 1 mL H2O) was labeled
with Fe3+ or Cu2+ by addition of 20 μL
of fresh FeCl3 (10 mg/mL) in PBS (pH = 7.4) or 20 μL
of CuCl2 (10 mg/mL) in buffer solution of pH = 5.5 followed
by a 1 h incubation at 40 °C (the chelating mechanisms of MNPs
were shown in Figure S13). The labeled
complexes were then purified by a PD-10 column. The products were
washed out by PBS and passed through a 0.22-μm Millipore filter
into a sterile vial for in vitro and animal experiments. The Fe3+ and Cu2+ concentrations of MNPs were measured
by inductively coupled plasma-mass spectrometry (ICP-MS) analysis.
The stability of metal ion-chelated MNPs were studied by incubating
those MNPs in PBS (pH = 7.4) at 37 °C. Those MNPs were placed
in dialysis tube (MWCO 10K) with magnetic stirring, dialysis against
10 mL PBS. At a certain time, dialysate was removed for ICP-MS analysis
and replaced with fresh PBS solution. For ICP-MS analysis, 100 μL
of the detected sample was first heated to evaporate the water solvent
and then digested with 0.5 mL of concentrated nitric acid (70% w/w)
under heating. After the solvent was evaporated, the residue was then
dissolved in 7 mL of dilute nitric acid (2% w/w) for final ICP-MS
analysis.
Characterization of MNPs
FT-IR spectra were measured
in a transmission mode on a Bio-Rad FT-IR spectrophotometer (Model
FTS135) under ambient conditions. Samples of pristine melanin granules
and functionalized MNPs were ground with KBr and then compressed into
pellets. Transmission electron microscopy (TEM) images were recorded
on a JEOL 2010 transmission electron microscope at an accelerating
voltage of 100 kV. The TEM specimens were made by placing a drop of
the nanoparticle aqueous solution on a carbon-coated copper grid.
The hydrodynamic sizes of the MNPs were determined by dynamic light
scattering (DLS) using a 90 Plus particle size analyzer (Malvern,
Zetasizer Nano ZS90). Zeta potentials were measured using a zeta potential
analyzer (Malvern, Zetasizer Nano ZS90). The 1H NMR spectra
were recorded at 20 °C on a 400 MHz NMR spectrometer (Bruker),
using D2O as solvent.
64Cu2+ Radiolabeling
The MNPs
with or without Fe3+ were further radiolabeled with 64Cu2+ by addition of 1–1.5 mCi of 64CuCl2 in 0.1 N NaOAc (pH 5.5) buffer followed by 1 h incubation
at 40 °C. The radiolabeled MNPs were then purified by a PD-10
column (GE Healthcare, Piscataway, NJ, USA). The product was washed
out by PBS and passed through a 0.22-μm Millipore filter into
a sterile vial for in vitro and animal experiments. The investigation
of the radiolabeling stability of MNPs is similar to the metal ion-chelated
MNPs except that the detector ICP-MS was replaced by PerkinElmer 1470
automatic gamma-counter for counting radioactivity.
Cell Viability
In vitro cytotoxicity of MNPs was determined
in NIH-3T3 and U87MG cells by the MTT assay. NIH-3T3 and U87MG cells
were incubated on 96-well plate in DMEM medium containing 10% FBS
and 1% penicillin/streptomycin at 37 °C in 5% CO2 humidified
atmosphere for 24 h and 0.5 × 104 cells were seeded
per well. Cells were then cultured in the medium supplemented with
indicated doses of different MNPs for 24 h. The final concentrations
of MNPs in the culture medium were fixed at 3.125, 6.25, 12.5, and
25 μM in the experiment. Addition of 10 μL of MTT (0.5
mg/mL) solution to each well and incubation for 3 h at 37 °C
was followed to produce formazan crystals. Then, the supernatant was
removed and the products were lysed with 200 μL of DMSO. The
absorbance value was recorded at 590 nm using a microplate reader.
The absorbance of the untreated cells was used as a control and its
absorbance was as the reference value for calculating 100% cellular
viability.
In Vitro Cell Uptake
U87MG cells
(1 × 105 per well) were seeded in 12-well tissue culture
plates and allowed
to attach overnight. The cells were washed twice with serum-free DMEM
and incubated with the 64Cu-labeled MNPs (2 μCi per
well, final concentration approximately 6 nM) in 400 μL of serum-free
DMEM at 37 °C. The specific binding of the probes with U87MG
cells was determined by coincubation with RGD (30 μg per well).
After 1, 2, and 4 h, the cells were washed three times with cold PBS
and lysed with the addition of 200 μL of 0.2 M NaOH. The radioactivity
of all fractions was counted using a PerkinElmer 1470 automatic gamma-counter.
The uptake (counts per minute) was expressed as the percentage of
added radioactivity.
PAI Analysis of Phantom
For studying
the PAI properties
of MNPs, a cuboid container was half filled with 1% agarose gel to
half depth. Different concentrations of MNPs aqueous solutions ranging
from 0.625 to 20 μM were filled into polyethylene capillaries
and then the capillaries were laid on the surface of solidified agarose
gel. The capillaries were further covered with thin 1% agarose gel
to make the surface smooth. For the particle’s sensitivity
in living body, MNPs aqueous solutions with different concentrations
from 5 μM to 80 μM were mixed with matrigel at 0 °C
and then subcutaneously injected on the lower back of mice. The PAIs
of the mixtures were collected after they were solidified.The
Vevo LAZR PAI System (VisualSonics Inc., Toronto, Canada) with a laser
at excitation wavelength of 680 nm and a focal depth of 10 mm was
used to acquire photoacoustic and ultrasound images. Image analysis
was carried out using ImageJ. Briefly, quantification analysis was
performed on the PAI images. ROIs were drawn over the sample on the
PAI images. The PAI signal intensity was then measured using the ROIs
manager tool.
MRI Analysis of Phantom
MRI experiments
were performed
at 25 °C in a magnetic resonance (MR) scanner (Siemens 1.0 T).
To simulate the biological environment, agarose gel, prepared in 300
μL of the PCR tube using secondary distilled water as the solvent
for dissolving the agarose, was used to demonstrate the magnetic signal.
The bottom of the tube was first covered with a layer of 1% agarose
gel. When agarose gel was cooled, the mixtures of MNPs and aqueous
solution of agarose (ratio 1:1 by volume) with iron concentrations
at 62.5, 125, 250, 500, and 1000 μM Fe (amount to 1.25, 2.5,
5, 10, 20 μM MNP), were then filled into the intermediate portion
of the PCR tube respectively while the sample was hot. After cooling,
another 1% agarose gel was covered on the top layer of the cube. The
tubes were placed into the MR scanner and a number of MR sequences
were run, spin–echo for R1 determination (TR: 50–3000
ms; TE: 5.5 ms, flip angle 30°; FOV: 3.5 cm, matrix: 256 ×
256; slice thickness: 1 mm). The luminance values of the resulting
image were obtained through the ImageJ software processing, thereby
calculating the R1 value.For measurement the MNPs’
detection sensitivity in living subject, Fe-chelated MNPs aqueous
solution with different concentrations from 1.25 μM to 20 μM
were mixed with matrigel at 0 °C and then subcutaneous injected
on the lower back of mice. The MRIs of the mixtures were collected
after they were solidified. The used T1-flash MRI sequence is as follows: TR: 700 ms, TE: 5.2 ms; FOV: 3.5
cm, matrix: 256 × 256; slice thickness: 1 mm.
Subcutaneous
Tumor Models
All animal experiments were
performed in compliance with the Guidelines for the Care and Use of
Research Animals established by the Stanford University Animal Studies
Committee. Female athymic nude mice (nu/nu) in 4–6 weeks old
were obtained from the Charles River Laboratories (Boston, MA, USA)
and kept under sterile conditions. U87MG cells suspended in 100 μL
of PBS were inoculated subcutaneously in the shoulder of nude mice.
When the tumors reached 0.5–0.8 cm in diameter, the tumor bearing
mice were subjected to in vivo multimodality imaging (PAI, MRI and
PET) and biodistribution studies.
PAI and MRI of Tumor Bearing
Mice
Mice bearing tumor
(U87MG) were anesthetized with 2% isoflurane in oxygen and placed
with lateral position. MRI was performed using the same instrument,
protocols and conditions as in the phantom MRI study. Imaging analysis
was performed using the ImagingJ software. The contrast was adjusted.
PAI was carried out using the same Vevo LAZR PAI System as the in
vitro study. Similarly, image analysis was carried out using ImageJ.
Quantification analysis of PA and MR signals was performed on the
PAI and MRI images. Because the enhanced signals of MRI and PAI in
tumors were dispersed heterogeneously, the enhanced signal regions
in tumors on the PAI and MRI images were used as ROIs to analysis
the signal change with injection time (comparing the signal intensity
at 4 h injection with 0 h injection).
Small-Animal PET
Small animal PET imaging of tumor-bearing
mice was performed on a Siemens Inveon microPET-CT. Mice bearing U87-MG
tumors were injected with 64Cu-labeled MNPs (110.0 ±
5.0 μCi) via the tail vein. At different times after injection
(2, 4, and 24 h), the mice were anesthetized with 2% isoflurane and
placed prone near the center of the FOV of the scanner. Three-minute
static scans were obtained. All the small animal PET images were reconstructed
using Irw4.0 software by two-dimensional ordered-subsets expectation
maximization (OSEM) algorithm. No background correction was performed.
The radioactivity uptake in the tumor and normal tissues was calculated
using a region of interest (ROI) drawn over the whole organ region
and expressed as a percentage of the injected radioactive dose per
gram of tissue (% ID/g).
Authors: X Michalet; F F Pinaud; L A Bentolila; J M Tsay; S Doose; J J Li; G Sundaresan; A M Wu; S S Gambhir; S Weiss Journal: Science Date: 2005-01-28 Impact factor: 47.728
Authors: James Rieffel; Feng Chen; Jeesu Kim; Guanying Chen; Wei Shao; Shuai Shao; Upendra Chitgupi; Reinier Hernandez; Stephen A Graves; Robert J Nickles; Paras N Prasad; Chulhong Kim; Weibo Cai; Jonathan F Lovell Journal: Adv Mater Date: 2015-01-14 Impact factor: 30.849
Authors: Beatriz Pelaz; Christoph Alexiou; Ramon A Alvarez-Puebla; Frauke Alves; Anne M Andrews; Sumaira Ashraf; Lajos P Balogh; Laura Ballerini; Alessandra Bestetti; Cornelia Brendel; Susanna Bosi; Monica Carril; Warren C W Chan; Chunying Chen; Xiaodong Chen; Xiaoyuan Chen; Zhen Cheng; Daxiang Cui; Jianzhong Du; Christian Dullin; Alberto Escudero; Neus Feliu; Mingyuan Gao; Michael George; Yury Gogotsi; Arnold Grünweller; Zhongwei Gu; Naomi J Halas; Norbert Hampp; Roland K Hartmann; Mark C Hersam; Patrick Hunziker; Ji Jian; Xingyu Jiang; Philipp Jungebluth; Pranav Kadhiresan; Kazunori Kataoka; Ali Khademhosseini; Jindřich Kopeček; Nicholas A Kotov; Harald F Krug; Dong Soo Lee; Claus-Michael Lehr; Kam W Leong; Xing-Jie Liang; Mei Ling Lim; Luis M Liz-Marzán; Xiaowei Ma; Paolo Macchiarini; Huan Meng; Helmuth Möhwald; Paul Mulvaney; Andre E Nel; Shuming Nie; Peter Nordlander; Teruo Okano; Jose Oliveira; Tai Hyun Park; Reginald M Penner; Maurizio Prato; Victor Puntes; Vincent M Rotello; Amila Samarakoon; Raymond E Schaak; Youqing Shen; Sebastian Sjöqvist; Andre G Skirtach; Mahmoud G Soliman; Molly M Stevens; Hsing-Wen Sung; Ben Zhong Tang; Rainer Tietze; Buddhisha N Udugama; J Scott VanEpps; Tanja Weil; Paul S Weiss; Itamar Willner; Yuzhou Wu; Lily Yang; Zhao Yue; Qian Zhang; Qiang Zhang; Xian-En Zhang; Yuliang Zhao; Xin Zhou; Wolfgang J Parak Journal: ACS Nano Date: 2017-03-14 Impact factor: 15.881