Significance
Gas-filled microbubbles physically oscillate in an ultrasound field and have been shown to potentiate the delivery of therapeutic payloads. The biophysical mechanisms by which vibrating microbubbles stimulate macromolecule uptake across the cell membrane, however, remain unknown. With a coupled microscopy system capable of bright-field imaging up to 25 million frames per second, we show correlations between microsecond-scale bubble oscillations and second-to-minute–scale macromolecule diffusion, uniquely highlighting that microbubble-induced shear stress is a threshold indicator for membrane pore generation. Further insight into membrane reorganization using real-time confocal microscopy demonstrates that ultrasound-triggered microbubbles create resealing pores through both layers of cellular membrane, and gaps between confluent cells. This work presents mechanistic, biophysical insight into sonoporation as a tool for local delivery of therapeutic macromolecules.
Keywords: ultrasound therapy, microbubble contrast agent, endothelial membrane, gene delivery, sonoporation
Abstract
This study presents a unique approach to understanding the biophysical mechanisms of ultrasound-triggered cell membrane disruption (i.e., sonoporation). We report direct correlations between ultrasound-stimulated encapsulated microbubble oscillation physics and the resulting cellular membrane permeability by simultaneous microscopy of these two processes over their intrinsic physical timescales (microseconds for microbubble dynamics and seconds to minutes for local macromolecule uptake and cell membrane reorganization). We show that there exists a microbubble oscillation-induced shear-stress threshold, on the order of kilopascals, beyond which endothelial cellular membrane permeability increases. The shear-stress threshold exhibits an inverse square-root relation to the number of oscillation cycles and an approximately linear dependence on ultrasound frequency from 0.5 to 2 MHz. Further, via real-time 3D confocal microscopy measurements, our data provide evidence that a sonoporation event directly results in the immediate generation of membrane pores through both apical and basal cell membrane layers that reseal along their lateral area (resealing time of ∼<2 min). Finally, we demonstrate the potential for sonoporation to indirectly initiate prolonged, intercellular gaps between adjacent, confluent cells (∼>30–60 min). This real-time microscopic approach has provided insight into both the physical, cavitation-based mechanisms of sonoporation and the biophysical, cell-membrane–based mechanisms by which microbubble acoustic behaviors cause acute and sustained enhancement of cellular and vascular permeability.
Delivery vehicles for therapeutic nucleic acids (e.g., siRNA, mRNA, plasmids, oligonucleotides), including nanoparticles or viruses, are intended to increase the local effectiveness of the therapeutic within a target tissue while reducing off-target effects. A major barrier to the successful delivery of molecular therapeutics in this manner is the endothelial cell membrane. Viral vectors, although able to efficiently deliver genetic material to target cells via their intracellular trafficking machinery, may elicit specific inflammatory and nonspecific antiviral immune responses (1, 2). As an alternative, nonviral vectors––for example, localized needle injection of naked therapeutic nucleic acids or lipofection––use physical forces or compounds, respectively, to deliver a genetic payload into a cell and are generally less toxic and immunogenic than viral vectors (3). However, direct needle injection into the target poses challenges in achieving homogeneous tissue distribution of the payload (4), and clinical implementation is limited by the impractical requirements of repetitive needle injections into sites which may be difficult to access. Systemically injected liposomes face the endothelial barrier, are vulnerable to intravascular destruction and/or renal excretion (depending on size), and, when endocytosed by the target cell, must escape early endosomes to deliver the payload to the cell (5). To address these limitations, i.v.-injected nucleic-acid–loaded microbubble contrast agents have been investigated as nonviral delivery vehicles which can be targeted to release their payloads by direct navigation of an ultrasound beam to the target tissue during microvascular transit of the microbubbles through the tissue. The resulting selective release and uptake of the payload within the ultrasound focal volume is a major advantage over other nonviral, noninvasive delivery methods. As an ultrasound contrast agent, microbubbles can also be visualized via standard B-mode (or contrast-mode) ultrasound imaging techniques, and therefore a cargo-loaded microbubble platform has the potential to offer a noninvasive, image-guided, and targeted molecular therapeutic delivery strategy.
Studies using microbubbles driven by ultrasound in the megahertz frequency range have shown initial success in delivering therapeutic payloads in in vitro (6–10) and animal models (11–13). The delivery efficiency, however, remains inferior to that demonstrated via viral methods (4), in large part due to an incomplete physical, mechanistic understanding of the manner in which acoustic cavitation alters endothelial membrane permeability. To address this, a direct correlation between microbubble cavitation physics and subsequent cell membrane permeability is required. To achieve this, we have coupled a custom-designed, ultrafast microscopy system (submicrosecond resolution) with a second CCD camera (millisecond resolution) to simultaneously investigate ultrasound-mediated microbubble megahertz oscillation dynamics and the resulting cellular permeability dynamics over their relevant physical timescales (Fig. 1A). Phospholipid encapsulated microbubbles were allowed to rest adjacent to a cultured, calcein-loaded human umbilical vein endothelial cell (HUVEC) monolayer within a cell culture cassette. The cassette was filled with culture medium containing propidium iodide (PI), a 668-Da reagent that we chose as a model drug and primary marker of sonoporation (SI Methods) due to its fluorescence exclusively upon entering the cell and interacting with nucleotides. Synchronous triggering between the ultrasound transducer and ultrafast microscopy system was achieved to collect an ultrafast frame rate bright-field recording of microbubble behavior (∼8–25 µs), a fluorescence video recording of the corresponding PI uptake before, during, and after ultrasound transmission (∼2–3 min), and a set of bright-field and calcein pre- and postultrasound still frames (Fig. 1B).
Results and Discussion
Fig. 2 depicts a representative example of the simultaneous ultrafast bright-field/slow epifluorescence recording strategy: a microbubble with a resting radius of =1.8 µm in contact with an endothelial cell, insonicated with an 8-cycle, 1-MHz pulse at 0.8 MPa. Selected frames from the ultrahigh-speed recording [∼10.8 Mfps (million frames per second)] illustrate microbubble cavitation (Fig. 2A), from which the quantification of the microbubble radial oscillation and its frequency content are extracted (Fig. 2 B and C). The microbubble achieves a maximum radius of =3.3 µm and exhibits preferential expansion over compression––an expected nonlinear result for a microbubble interrogated at a pressure amplitude of 0.8 MPa (Movie S1). Indeed, the associated power spectrum (Fig. 2C) highlights large contributions of energy at the fundamental, second-harmonic and third-harmonic frequencies to the microbubble cavitation. This cavitation event results in immediate sonoporation (Movie S2) initiating at the point of bubble–cell contact (Fig. 2D, arrowhead), characterized by PI entry into the cytoplasm [commencing between panels 2 and 3 (9.6–15 s)] and eventual diffusion to the nucleus (panel 5), as well as intracellular calcein loss (panels 11 and 12). Further quantification of the PI uptake dynamics reveals both qualitative and quantitative differences within the cytoplasm (Fig. 2E) and nucleus (Fig. 2F). The cytoplasmic PI profile is consistent with a time-limited PI entry within the cell (e.g., pore resealing or PI saturation), whereas the monotonically increasing, plateau-like nature of the nuclear PI uptake reflects the spatial confinement of DNA within the nucleus. The final two panels depict the range of PI uptake curves within the cytoplasm (Fig. 2G) and nucleus (Fig. 2H) for all microbubbles interrogated at 1 MHz (Fig. S1 and Table S1).
Table S1.
Waveform | Type 1 | Type 2 | Entry at nuc. | Nuc. disp. | Double sono. | PI + | PI − | Total | Entry cyto. only |
0.5 MHz, 8-cycle | 9 | 5 | 6 | 1 | 2 | 23 | 35 | 58 | 5 |
0.5 MHz, 4-cycle | 20 | 4 | 2 | 4 | 1 | 31 | 37 | 68 | 1 |
1 MHz, 8-cycle | 17 | 4 | 5 | 4 | 0 | 30 | 27 | 57 | 5 |
2 MHz, 8-cycle | 21 | 6 | 6 | 1 | 2 | 36 | 29 | 65 | 6 |
2 MHz, 16-cycle | 24 | 0 | 4 | 3 | 1 | 32 | 27 | 59 | 8 |
Total | 91 | 19 | 23 | 13 | 6 | 152 | 155 | 307 | 25 |
Total % of PI + | 59.4 | 12.4 | 15.0 | 8.5 | 3.9 | 100 | N/A | N/A | 16.3 |
Total % | 29.6 | 6.2 | 7.5 | 4.2 | 1.9 | 49.5 | 50.5 | 100 | 8.14 |
Peak negative acoustic pressures ranged from 0.1 to 0.4 MPa, 0.2 to 0.8 MPa, and 0.2 to 0.6 MPa for 0.5 MHz, 1 MHz, and 2 MHz, respectively. Type 1 and type 2 cytoplasmic PI entry, as well as entry at nucleus (Entry at nuc.), nucleus displacement (Nuc. disp.), double sonoporation (Double sono.), and entry in cytoplasm only (Entry cyto. only) are all defined as illustrated in Fig. S1.
A global summary of the dataset taken from n = 361 individual microbubble–cell pairs is shown in Fig. 3, where the bubble–cell pairs that elicit sonoporation are denoted with a red square. The maximum absolute microbubble expansion as a function of initial radius is presented. This figure presents the results from two sets of experiments, each performed at an ultrasound frequency of 0.5, 1.0, or 2 MHz, with either the number of cycles (8 cycles; Fig. 3 A–C) or the time duration (8 µs; Fig. 3 D–F) of the single pulse held constant (i.e., five independent conditions; Fig. S2). There was a threshold in absolute microbubble radial excursion above which sonoporation occurs that is approximately independent of initial radius, as determined through linear discriminant analysis (solid line). These data were acquired over a range of acoustic pressures (Fig. 3) to build up the physically relevant parameter space. The required maximum expansion threshold increases for decreasing frequencies for both sets of experiments (Fig. 3G). At a fixed frequency, the bubble oscillation threshold required to initiate sonoporation increases as the pulse time duration decreases. Placing the recorded microbubble dynamics within a physical framework, the maximum normal and shear stresses were estimated. Whereas there was no clear normal stress threshold, microbubble-induced shear stress was found to be a threshold indicator of sonoporation occurrence (Figs. S3 and S4). Sonoporation thresholds for bubbles between 1.25 ≤ R0 ≤ 3.00 µm, both in terms of oscillation amplitude and associated shear stress, are presented in Fig. 3G. Insight into the dependence of oscillation frequency and duration on membrane rupture thresholds can be gained by taking a materials engineering approach: The shear-stress threshold for cell membrane sonoporation can be viewed as an analog to the stress threshold for material failure. This analysis is conducted by constructing a Wohler curve (S–N curve), indicating the required number of cycles (N) at a constant stress (S) for material failure, and is modeled by , where and are material constants with < 0 (14). By assuming that the viscoelastic rheology of cellular membranes exhibits a power law on displacement frequency (15), a model is proposed for the sonoporation shear-stress threshold:
[1] |
where is expressed in kilopascals and is the transmit frequency in megahertz. Mathematical fitting of the above equation to the estimated maximum shear-stress threshold values results in = 37.4 ± 2.1, = −0.47 ± 0.03, and = 1.195 ± 0.005. Maximum shear-stress values, both experimentally estimated and those resulting from the best fit of Eq. 1, are reported in Fig. 3G, highlighting good agreement between the observed data and the model (R2 = 0.99). Once sonoporation is achieved, a direct, linear correlation between microbubble-induced shear stress and the peak cytoplasmic PI intensity at the site of sonoporation at all three frequencies is observed (Fig. 3 H–J). This suggests that larger microbubble-induced shear stresses correlate to either larger pores or more prolonged pore openings.
With this hypothesis in mind, the biophysical connection between microbubble-generated shear stress and resulting macromolecule uptake lies in the dynamics of the cellular membrane itself. As revealed with 3D real-time resonant scanning confocal microscopy (Movie S3), the cell membrane perforates at the point of bubble–cell contact over a relatively wide surface area immediately after ultrasound delivery, coregistering with an influx of PI (Fig. 4A). Both apical and basal cell membranes are breached and completely reseal in-plane (∼12 min). Surface rendering analysis (Movie S4) highlights the initial generation of multiple, circular pores that coalesce to form a larger perforation (Fig. 4B), a process through which the cell has survived (Fig. 4C). Additionally, dynamic membrane gaps between adjacent confluent cells also form minutes after ultrasound delivery and remain open for tens of minutes (Fig. 4 A, B, and E), an apparent indirect result of microbubble sonoporation. This provides a mechanistic explanation for enhanced extraluminal macromolecule delivery past the endothelial layer, for example the prolonged vascular permeability involved in ultrasound-microbubble–induced blood–brain–barrier disruption applications (16), and offers a potentially “tunable” opportunity for more protracted extravascular payload delivery, even after the cessation of ultrasound. A second sonoporation event on the same cell (Fig. 4F) confirms that, whereas the original membrane pore was shown to reseal in-plane (∼12 min), the unsaturated, intracellular transfer of PI ceases at an earlier time point (<2–2.5 min), suggesting a resealing along the lateral surface area between apical and basal membrane layers (Fig. 4D and Figs. S5 and S6). Confocal imaging of control cells (ultrasound delivery with no microbubble present) shows no membrane disruption (cells I, II, IV, and V in Fig. 4 A, B, and F).
The critical pressure impulse above which sonoporation occurred, for example at 1 MHz, can be estimated as Pa ⋅ s. This is consistent with recent studies investigating cell membrane perforation induced by ultrasound shock waves (approximately megapascal range) applied over nanosecond timescales, which determined critical pressure impulses on the order of 10−3–10−1 Pa ⋅ s when bubbles are present (17, 18). In addition to the short timescales, the shear stress is limited to a small area of contact with the adjacent cell. Estimating the spatial scale of the contact surface to be the same order of magnitude as the bubble size ( 1 µm), the maximum tension in the cell membrane can be approximated by N/m. This estimate is consistent with previous studies that have investigated lipid bilayer membrane rupture threshold values of N/m (19–21). It has also been suggested that fluid microjets, a consequence of asymmetric bubble collapse, can rupture cell membranes (22). The data collected in the present study did not reveal the presence of jetting, potentially because of the viewing orientation with respect to the bubble–cell interface (23); however, microbubble fragmentation (i.e., inertial cavitation) was indeed observed (Fig. S7).
Acoustically activated microbubbles behave as actuators, focusing ultrasound energy from the millimeter- (e.g., mm) to the micrometer spatial scale, and in so doing induce local shear-stress magnitudes sufficient to produce localized plasma membrane pores and to generate prolonged intercellular gaps. Sonoporation can therefore be achieved with a variety of bubble sizes and forcing acoustic pressures. Assessing the biophysics of endothelial mechanotransducers subjected to short (microseconds), large-amplitude (kilopascal) shear stresses may prove useful in illuminating downstream biological mechanisms and consequences of sonoporation, including cytoskeleton shear force transduction and shear-stress–mediated vasoregulation factors [e.g., nitric oxide production (24), reactive oxygen species]. From a translational standpoint, the development of sonication regimes in which microbubbles can be forced into a “controlled” oscillation characteristic (e.g., to generate threshold shear-stress magnitudes) requires further experimental and theoretical investigation, with particular focus on how intrinsic encapsulation heterogeneity may alter the response of an ostensibly identical microbubble to the same ultrasonic stimulus (25).
Materials and Methods
For a detailed description of the materials and methods, including information on the simultaneous microscopy system, microbubble preparation, cell culture, stress calculations, and real-time spectral confocal microscopy experiments, please refer to Supporting Information.
SI Methods
Simultaneous Imaging System.
US-stimulated microbubble dynamics were recorded with the UPMC-Cam (26), an ultrafast-frame microscopy imaging system capable of recording up to 25 Mfps for 128 frames (i.e., submicrosecond resolution) by using a flash lamp as a bright-field light source. To correlate these findings with sonoporation activity, a second CCD camera was used for epifluorescence imaging. To obtain simultaneous recordings, the Cy3 excitation filter and associated dichroic mirror (e.g., 562 nm) were left permanently in position between the fluorescence light source and the objective lens. Furthermore, to allow a sufficient number of photons from the flash lamp to reach the UPMC-Cam detectors for the ultrafast-frame bright-field recordings, the emission filter for a given fluorophore (e.g., 593/40 nm) was removed from the filter cube and placed downstream of the 50/50 mirror, only filtering light to the individual CCD camera. Bright-field microsecond timescale microscopy observations may therefore be directly, simultaneously correlated to the epifluorescence microscopy of cellular dynamics over seconds to minutes.
US Transmission and Coalignment.
A custom-made water tank was constructed to house any of three single-element transducers used in this study (f = 0.5 MHz, f# = 1.65, model A301S-SU-F1.65-PTF; f = 1 MHz, f# = 1.67, model A302S-SU-F1.63-PTF; f = 2.25 MHz, f# = 2, model V306-SU-PTF, Olympus NDT) at an angle of 45° from below along with a port to house the liquid light guide used to deliver the flash-lamp illumination. In addition, a third entry port was created to house a copper heating coil connected to a heated water circulating reservoir (07999-000, Gaymar T/Pump), used to maintain the water temperature at 37 °C. Optical–acoustical coalignment was performed with a pulse–echo approach, by way of an US pulser–receiver (5073PR, Olympus NTD) and a false objective lens (26). Individual microbubbles, adjacent to a calcein-loaded HUVEC monolayer and in the presence of PI, were insonicated with a single, Tukey-windowed US pulse at a frequency of either 0.5, 1, or 2 MHz, with pulse durations ranging from 4 to 16 µs, generated from an arbitrary function generator (AFG3252, Tektronix) and amplified by a gated rf power amplifier (model 250A250 AM8, Amplifier Research). The transmit pulses were sent at a peak negative pressure from 0.1 to 0.4 MPa, 0.2 to 0.8 MPa, and 0.2 to 0.6 MPa for 0.5 MHz, 1 MHz, and 2 MHz, respectively, as measured in a separate water tank with a hydrophone (HGL-0200, Onda Corp).
Microbubble Preparation.
Distearoyl-sn-glycero-3-phosphocholine, 1,2-distearoyl-sn-glycero-3-ethylphosphocholine, and polyoxyethylene(40) glycerol stearate (2: 1: 1, wt/wt/w) were dissolved in chloroform. After chloroform evaporation, the solution was vacuum-dried. The dried lipid film was rehydrated in saline with a final lipid concentration of 10 mg/mL for 4 h at room temperature, and sonicated with a 20-kHz probe (Heat Systems Ultrasonics) in the presence of perfluorobutane gas (FluoroMed, L.P.). This synthesis technique yields a microbubble concentration of ∼2 × 109 bubbles per milliliter and a size distribution with a peak diameter of 2.1 μm, as measured by a Coulter Counter (Multisizer 3, Beckman Coulter). Microbubble vials were stored a 4 °C and were allowed to reach room temperature before agent withdrawal (∼0.1 mL with an 18-G needle, and a second 18-G venting needle).
Cell Culture.
Primary HUVECs (C2519A, Lonza) were cultured in EGM-2 medium (C3162, Lonza) and incubated at 37 °C with 5% (vol/vol) CO2. HUVECs were chosen for this study due to the intravascular nature of microbubbles. Upon reaching approximate confluence in a Falcon flask (#353112, Fisher Scientific), the HUVECs were trypsinized (17-161E, Lonza) and replated into an Opticell chamber (Thermo Scientific). An Opticell chamber consists of two 50-cm2 gas-permeable, polystyrene membranes ∼75 µm in thickness and separated by 2 mm. The following day, the medium within the Opticell was replaced with a fresh 10 mL, and the cells were cultured for another 2 d to conduct experiments on HUVEC monolayers characterized by an approximate confluence of 80–90%. All experiments were performed on cells with passage numbers P ≤ 10.
Fluorescent Markers.
PI (P1304MP, Molecular Probes) was used as a model drug to detect sonoporation events. PI is a nonfluorescent, cell-impermeant intercalating agent that exhibits a dramatic increase in fluorescence upon binding to RNA/DNA complexes (535/617 nm). In addition, for a subset of experiments calcein-AM (C3099, Molecular Probes, molecular weight 994 g/mol), a nonfluorescent acetoxymethyl (AM) ester derivative of calcein (i.e., a fluorescein complex), was diluted into the culture medium. Upon transport within the cell, intracellular esterases cleave the acetomethoxyl group where the complex becomes cell membrane impermeable and fluorescent (excitation/emission of 488/520 nm). Intracellular calcein retention was therefore used as a secondary indicator of cell membrane permeability, and as a marker for a loss of intracellular content.
Data Analysis.
To extract the dynamic behavior of individual microbubbles from the ultrahigh-speed bright-field recordings, offline analysis was performed in MATLAB (The Mathworks) with custom-designed edge detection software (27). The epifluorescence microscopy recordings were analyzed offline by use of ImageJ (https://imagej.nih.gov/ij/). Regions of interest were manually drawn to encompass (i) the entire cell nucleus (where applicable) and (ii) the cell cytoplasm near the site of PI entry. In this manner, PI mean intensity–time curves were obtained and features including maximum PI intensity and rate of PI uptake were assessed for both regions. While the area of the regions of interest in the cell cytoplasm was kept constant from cell to cell (rectangular in shape, 18 µm2), the region of interest surrounding the entire cell nucleus was necessarily different, as each cell need not possess an identically sized nucleus (ranging from 118 to 213 µm2).
Cell Membrane Visualization Experiments.
Two days before experiments, HUVECs cultured in a Falcon flask were seeded on glass-bottom dishes (MatTek Corporation, #P50G-0–30-F), and plasma membrane visualization was performed via an FAP complex. Specifically, the HUVECs were transduced 24 h before experiments with a nonfluorescent, single-chain antibody targeted to a cell membrane protein. Immediately before experiments, 5 µl microbubble solution (1:200 in culture medium) was placed on top of the cells. The culture dish was inverted for approximately 1 min to allow the bubbles to come into contact with the cell layer through buoyancy. A nonfluorescent, cell-impermeable fluorogen was then added to the medium. Upon binding to the FAP, the fluorescence yield of the fluorogen is increased ∼20,000-fold with a Cy5 excitation-emission spectrum (28). In this manner, cell membrane visualization can be robustly achieved with minimal dye internalization and without requiring a wash step. Finally, PI was added into the medium solution (120 µM) to provide qualitatively comparable information to that of the ultrahigh-speed microscopy experiments. Imaging was performed on a Nikon A1R Spectral confocal microscope with a 60× oil-immersion lens (N.A. = 1.49). Complete z stacks were acquired by way of a resonant scanner, with a slice thickness of 1 µm. US delivery via a flat, single-element transducer (f = 1 MHz, 13-mm diameter, Olympus, #A303S-SU) was achieved by way of an in-house–fabricated water-filled coupling cone, positioned at ∼45° from the optical axis. Offline image analysis was performed with both NIS Elements (Nikon) and Imaris (Bitplane Inc.) software. Pore size estimates were performed with MATLAB by using an edge detection algorithm (i.e., Sobel filter).
Microbubble-Induced Stress Estimates.
Microbubble-induced normal and shear stresses exerted upon its neighboring cell were estimated from the ultrahigh-speed recordings of microbubble oscillation dynamics. The normal stress was estimated from the linearized Euler’s equation (equation 2.61 in ref. 29):
[S1] |
where is the fluid density (kilogram/cubic meter), is the frequency (hertz), is the resting radius (meters), and is the relative radial expansion. The shear stress due to microbubble oscillation , often referred to as “ac shear stress” (30), was calculated according to Newton’s law of viscosity assuming a “no-slip” boundary condition (i.e., fluid velocity is zero at the cell wall), and the relevant length scale given by the boundary layer thickness (31), where is the fluid oscillation frequency. Newton’s law of viscosity is calculated from the spatial gradient in fluid velocity and the maximum shear stress was estimated in the current study by
[S2] |
Estimated Scattered Acoustic Emissions.
The acoustic emission P(r,t) at a given location r from an oscillating microbubble was estimated from the recorded radial dynamics R(t) via Euler’s equation (29, 32):
[S3] |
where the dots denote differentiation with time. Estimated acoustic emissions at the fundamental (at the transmit frequency) and second harmonic (at twice the transmit frequency) were calculated from digital band-pass filtering of Eq. S3.
Statistics.
All statistical analyses were performed with MATLAB. Linear correlations conducted on the epifluorescence microscopy data were performed with Pearson’s correlation coefficient. Threshold analysis was conducted by way of linear discriminant analysis. Fitting of the 2D shear-stress thresholds was conducted by minimizing the sum of the square of the differences between the measured and calculated values (i.e., residual sum of squares), with the error taken as the values that yield twice the minimum cost. Overall goodness-of-fit was reported as an R2 value, calculated as , where is the total sum of squares between the observed shear-stress values and the mean of these values .
Supplementary Material
Acknowledgments
The authors thank Dr. Bin Qin for microbubble preparation and Dr. Alfred Yu for helpful discussions. The authors also thank the Center for Biologic Imaging for assistance with the confocal microscopy studies, specifically Jenny Zeng for the fluorogen-activating protein (FAP) adenoviral transduction, and both Callen Wallace and Morgan Jessup for technical assistance. This work was partly funded by the National Institutes of Health (Grants R01EB016516-01A1 and 1S10OD019973-01), the Fonds de Recherche Natures et Technologies postdoctoral grant from Quebec, Canada, and the Center for Ultrasound Molecular Imaging and Therapeutics, University of Pittsburgh.
Footnotes
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1606915113/-/DCSupplemental.
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