Abstract
A considerable amount of attention has been focused on the analysis of single cells in an effort to better understand cell heterogeneity in cancer and neurodegenerative diseases. Although microfluidic devices have several advantages for single cell analysis, few papers have actually demonstrated the ability of these devices to monitor chemical changes in perturbed biological systems. In this paper, a new microfluidic channel manifold is described that integrates cell transport, lysis, injection, electrophoretic separation, and fluorescence detection into a single device, making it possible to analyze individual cells at a rate of 10 cells/min in an automated fashion. The system was employed to measure nitric oxide (NO) production in single T-lymphocytes (Jurkat cells) using a fluorescent marker, 4-amino-5-methylamino-2',7'-difluorofluorescein diacetate (DAF-FM DA). The cells were also labeled with 6-carboxyfluorescein diacetate (6-CFDA) as an internal standard. The NO production by control cells was compared to that of cells stimulated using lipopolysaccharide (LPS), which is known to cause the expression of inducible nitric oxide synthase (iNOS) in immune-type cells. Statistical analysis of the resulting electropherograms from a population of cells indicated a twofold increase in NO production in the induced cells. These results compare nicely to a recently published bulk cell analysis of NO.
The biochemical heterogeneity displayed by seemingly identical cells is known to play an important role in many diseases, including cancer, neurodegenerative disorders, and cardiovascular diseases.1 Chemical analysis of individual cells can be used to probe this heterogeneity and identify biochemical variations in a population of cells.1,2 For example, immune cells exhibit such biological heterogeneity in terms of the extent of their expression of the inducible form of nitric oxide synthase (iNOS) in response to infection and inflammation.3-5 While nitric oxide (NO) is generated by various forms of NOS, changes in NO production in immune cells are generally controlled by changes in iNOS expression. NO is an important signaling molecule that is involved in a number of physiological processes, including blood pressure regulation,6 neurotransmission, and the immune response.7-9 In fact NO production in single neurons has been measured previously by the Sweedler group using capillary electrophoresis with laser-induced fluorescence detection,10-16 and in endothelial cells by the Martin and Spence groups17-20 Immune cell types such as monocyte-derived macrophages and microglia are also known to exhibit phenotypes that have different levels of iNOS expression. These cell types are involved in the progression and prevention of cardiovascular and neurodegenerative diseases.21-23 Therefore, a method that would enable the measurement of NO production in single immune cells as a function of different stimulants may aid in our understanding of the immune response and the progression of these diseases.
Many different methods such as flow cytometry, single cell imaging, liquid chromatography, capillary and microchip electrophoresis (ME), and microfluidic single cell cytometry devices have been developed to probe cellular heterogeneity. In the case of in vivo imaging and flow cytometry, it is not possible to resolve species that have same emission wavelengths; e.g. when multiple species react with the same fluorescent reporter molecule. In cases such as these analytes cannot be differentiated from one another or concomitants.
To increase the number of species that can be analyzed, electrophoretic separation techniques have been developed for the analysis of single cells. Detection for these techniques is most often accomplished using fluorescence, electrochemical, and mass spectrometric methods.24-32 Conventional capillary electrophoresis methods, however, generally suffer from a low throughput due to difficulty in automating the injection of the cells and the fact that separations frequently take several minutes. This usually leads to a throughput on the order of less than a dozen cells per day.29,33 Although recently an exception to this was reported by the Allbritton group in which they described an automated capillary electrophoresis system for single cell analysis that showed significantly higher throughput (3.5 cells/min) than previous designs.34 Another drawback of using capillaries for single cell analysis is that cell debris can adhere to the capillary wall, leading to irreproducibility in migration time and/or peak height/area and blockage of the lumen.35
The use of microfluidic-based devices has several potential advantages over capillary-based single cell analysis techniques. These include faster analysis times and thus higher throughput and smaller sample volume requirements that offer improved detection limits. Microfluidic devices are also more amenable to automation because it is possible to integrate several analytical procedures such as cell transport, cell lysis, and sample injection onto a single platform with better and more precise fluid control.24,33,36-41 Separation-based microfluidic devices for single cell analysis provide the ability to determine a much larger number of analytes than is possible with many of the other approaches such as imaging and cytometry. With microchip electrophoresis, it is possible to separate several different analytes electrophoretically following cell lysis prior to detection. Most microchip electrophoresis (ME)-based single cell analysis experiments reported thus far have been proof-of-principle studies on a small number of cells using test analytes,24,42 although, in a few cases, endogenous molecules43-46 have also been measured. Only a couple of devices have been reported that have detected either test analytes 26 or endogenous molecules47 in more than 100 cells per experiment.
In this paper, we report a high throughput microfluidic device designed for single cell analysis capable of analyzing 200 cells in 20 minutes (10 cells/min). These devices were modeled on an earlier etched glass design used in our lab and by others.24,26,42,48 The device consists of a hybrid PDMS-glass chip that is easier to fabricate than previous all-glass designs. The geometry of the lysis and injection intersection has been modified to significantly improve the reproducibility of the lysate injection process. The device is employed to investigate the expression of iNOS by native and stimulated lymphocytes through the measurement of intracellular NO concentration. This is the first example of a microfluidic device being used with ME to serially measure intracellular NO in response to an external stimulation in over 100 individual cells in less than 10 minutes. The results of the single cell analysis experiments were compared to recently published bulk cell studies performed for the analysis of NO under identical stimulation conditions with good correlation.10
EXPERIMENTAL SECTION
Reagents and Materials
Sodium borate, lyophilized Bovine Serum Albumin (BSA), Tween-20, and acetonitrile (HPLC grade) were all obtained from Fisher Scientific (Pittsburgh, PA). Sodium dodecyl sulfate and anhydrous dimethyl sulfoxide, 99.9% (DMSO) were supplied by Sigma-Aldrich (St. Louis, MO). 4-amino-5-methylamino-2’,7’-difluorofluorescein diacetate (DAF-FM DA) was obtained from Invitrogen Corporation, Carlsbad, CA in 50Lg packs. 6-carboxyfluorescein diacetate, 6-CFDA was obtained from Fisher Scientific, Pittsburgh, PA. SU-8 2010 was purchased from MicroChem Corp. (Newton, MA). The SU-8 developer, 2-(1-methoxy) propyl acetate (99%), was obtained from Acros (Morris Plains, NJ). Silicon wafers, 4 inches in diameter, were purchased from Silicon, Inc. (Boise, ID). Sylgard 184 PDMS prepolymer and curing agent was purchased from Dow Corning (Corning, Inc., Corning, NY). Ultrapure water was generated from a Barnstead E-pure system (Dubuque, IA).
Microchip Fabrication
The microfluidic device (Figure 1) was fabricated using established soft lithography procedures.49 Briefly, SU-8 2010 negative photoresist was spun to a thickness of ~20 μm on a 4 in silicon wafer using a spin coater (Laurell Technologies Corp., North Wales, PA). The coated mask was then placed on a 65 °C hot plate for a 2-min soft bake followed by a 4-min hard bake on a 95 °C hot plate. A mask containing the microfluidic channel pattern, created using AutoCAD LT 2006 (Autodesk, San Rafael, CA), was placed on the wafer that was then exposed to ultraviolet light (ThermoOriel, Stratford, CT). The unpolymerized photoresist was washed off using SU-8 developer, rinsed with isopropyl alcohol, and blown dry with nitrogen. A 10:1 w/w mixture of PDMS prepolymer and curing agent was then poured over the mold and cured for at least 50 min at 80 °C. Access holes to the channels were drilled on a 75 × 50 mm glass slide (Corning, Inc.) using a 2 mm diamond-tipped drill bit (Rio Grande, Albuquerque, NM) and fitted with glass reservoirs using epoxy resin (Epoxy Technology, Billerica, MA). A Nanoport assembly placed on reservoir 5 (Figure 1B), a micro-splitter valve, threaded adapters, and PEEK tubing, all from Upchurch Scientific (Oak Harbor, WA), were used to connect the microfluidic device to the syringe pump.
Figure 1.
A is the initial chip design. B is a schematic of improved microfluidic chip used for single cell lysis experiments. The lysis intersection of the microchip is shown in the inset. The solid arrows indicate the direction of bulk fluid flow while the broken arrows show the direction of electrophoretic migration (μp).
The cured PDMS was peeled off the mold and placed over the glass slide with the ends of the channels aligned with the access holes on the glass slide. Another glass slide was placed on top and the excess PDMS was trimmed off. The channel dimensions were determined by measuring the height and width of the features on the silicon wafer mold using a profilometer (Ambios Technology, Santa Cruz, CA). The channels were 19 μm deep, corresponding to the height of the features on the mold. The narrow sections of the channels were 50 μm wide. The wide sections of the channel from reservoirs 1, 2, 3 and 4 were 160 μm while that from reservoir 5 was 500 μm (Figure 1B).
Cell Culture
Jurkat cells from the Jurkat Clone E6-1 cell line (ATCC TIB-152 American Type Culture Collection, Rockville, MD) were cultured in RPMI 1640 medium containing 10% (v/v) fetal bovine serum, L-glutamine (2 mM), penicillin (100 μg/mL), and streptomycin (100 μg/mL). The cells were maintained in a humidified environment at 37 °C and 5% CO2 and cultured in 25 mL polystyrene culture flasks (Becton Dickinson Labware, Fisher Scientific). Cells were passaged every 2–3 days.
LPS Stimulation Protocol
NO production in cells was stimulated using purified lipopolysaccharide (LPS) from the Escheria coli line 0111:B4 (Sigma Aldrich). 1.5 μL of 25 μg/mL LPS was administered per mL of cell suspension of healthy Jurkat cells and allowed to incubate for 1–3 hours. An unstimulated (native) flask of Jurkat cells from the same population was incubated under the same conditions as the control for the stimulation experiment.
Sample Preparation
The cells were labeled with DAF-FM DA which is fluorogenic and membrane permeable. Once inside the cell, DAF-FM DA is hydrolyzed by non-specific cytosolic esterases to form 4-amino-5-methylamino-2',7'-difluorofluorescein (DAF-FM). The hydrolyzed dye further reacts with a partially oxidized species of NO (N2O3) to form a triazole (DAF-FM T), which has a high fluorescence yield.50 We co-labeled the cells with 6-CFDA, which is also fluorogenic and membrane permeable and is hydrolyzed by esterases to yield a charged fluorescent moiety that is membrane impermeable. We used 6-CFDA as an internal standard to correct for differences in fluorescence intensity when using different devices. The fluorescence signal of 6-CFDA was not affected when cells were incubated with LPS. The two dyes were received as lypholyzed powders and stock solutions were prepared daily for each new set of experiments using 99.9% DMSO. The dye solution was prepared by adding appropriate volumes of the two stock solutions to enough sterile PBS to make a 2 μM DAF-FM DA and 2 μM 6-CFDA solution. 1 mL of the cell suspension was centrifuged at 2000 rpm (Marathon 8K, Fisher Scientific, Pittsburgh, PA) for 1 min and the supernatant was discarded. The cells were then re-suspended in the dye solution and incubated for 20 min at 37°C on a heat block. Another centrifugation was performed under the same conditions to remove the dye solution, and the labeled cells were re-suspended in RPMI medium containing 2% (w/v) BSA prior to experiments.
Microchip Operation
The separation buffer consisted of 25 mM sodium borate, 20% v/v acetonitrile, 2% w/v BSA, 0.6% w/v Tween-20, and 2 mM SDS. Initially, all the reservoirs were filled with the separation buffer by applying reverse pressure facilitated by a vacuum pump. Reservoir 2 (Figure 1B) was evacuated and replaced with a suspension of the fluorescently labeled cells. The waste reservoir was threaded to provide the connection, via PEEK tubing, to a 1000 μL glass syringe on a syringe pump (New Era Pump Systems, Inc., Farmingdale, NY). Cell transport and fluid flow in the channel manifold were achieved by setting the syringe pump at withdrawal mode at a flow rate of 0.25 μL/min and adjusting the flow splitter until the cells were traveling at a rate at which most of the lysate from the cells was injected into the separation channel.
Cell lysis and subsequent electrophoretic injection and separation were achieved by applying 3 kV using a high voltage supply (Spellman® High Voltage Electronics, Hauppauge, NY) across reservoirs 1 and 4 (Figure 1B). (Safety Warning: Appropriate caution should be exercised when working with high voltages.)
Detection
A multi-line argon-ion laser (MellesGriot Laser Group, Carlsbad, CA) was used as the excitation source. The 488 nm beam was selected using a dispersive prism and then reflected off a series of mirrors and directed into a Nikon eclipse TS100 microscope (Nikon Instruments, Inc., Melville, NY) through the rear port and via a 20× objective (Plan Fluor, Nikon) to the microscope stage. The beam was focused onto a small spot in the separation channel, 5 mm below the lysis intersection. The fluorescence emission from the dyes was detected by a photomultiplier tube (Hamatsu Instruments, Bridgewater, NJ) attached to the trinocular port of the microscope. (Safety Warning: Appropriate caution should be exercised when working with focused laser light.) The signal was amplified using a low noise current preamplifier at 1 μA/V with 100 Hz low-pass filter (Stanford Research Systems, Sunnyvale, CA) and sampled at 100 Hz using a PC1-6036E I/O card (National Instruments, Austin, TX). The program controlling the high voltage power supply and data acquisition was written in-house using LabVIEW (National Instruments, Austin, TX). Data analysis was performed using Igor Pro (WaveMetrics, Portland, OR).
Video images of the experiment were collected using a digital color video camera (Exwave HAD, Sony Corporation, Park Ridge, NJ) mounted on the side port of a Nikon TE-2000-U inverted microscope (Melville, NY). Frame grabs retrieved in Image J (NIH) were used to calculate the flow rate of the analytes down the separation channel.
RESULTS AND DISCUSSION
A wide variety of microchip designs have been reported in the literature for the analysis of single cells. However, there have been only a couple of very recent papers26,51 in which the contents of more than 30 individual cells have been measured quantitatively by such devices. One possible reason for this is the difficulty in setting up in these chips the reproducible hydrodynamic flows that are necessary for fast cell transport, efficient cell lysis, and lysate injection. Therefore, a major objective of these studies was to develop a microfluidic chip design that was easy to construct and implement and that could be used routinely to analyze hundreds of cells at a rate of at least 10 cells per minute.
The initial experiments employed a previously published design shown in Figure 1A.24 In this design, cells are loaded into reservoir 3 and flowed through the intersection to waste (reservoir 5).24 However, we found that reproducible injection of the cell lysate was difficult to realize with this design due to difficulty in precisely controlling the volumetric flow rates in the channel manifold using an external syringe pump. The flow rates on these devices are in the low nL/min range, and the flows from all of the channels at the lysis intersection must be carefully balanced in order to generate reproducible and complete injection of the lysate from the cell into the separation channel. Unpredictable changes in flow resistances over the course of a run due to partial obstructions in the various channels and small changes from device to device in terms of flow resistance make it difficult to reliably adjust the flow. In addition, there is a lag time in terms of when the flow rate is changed on the external pumping device and when this change is seen at the lysis intersection.
To improve the ruggedness and overall operation of the microfluidic device, therefore, we altered the manner in which the cells were transported into the channel intersection of the chip (region marked by black circle in Figure 1B). In the new design, cells are placed in reservoir 2 and are transported to the lysis area of the chip using the hydrodynamic flow generated by a syringe pump in withdrawal mode at reservoir 5. In this configuration, the cells make a 90° turn into the main channel where they encounter a DC electric field sufficient to lyse the cells. The lysate is then electrophoretically injected into the separation channel while the cell debris is hydrodynamically shunted to a waste channel.
Figure 2 shows consecutive image frames grabbed from a video (supplementary information S1) demonstrating the lysis of individual Jurkat cells loaded with Oregon Green using this device. The first image, Figure 2A, shows cells approaching the lysis channel. In the second image (Figure 2B), the cells have entered the lysis channel and are lysed by the electric field. In the next two frames (Figure 2C, 2D), the fluorescent lysate is seen traveling into and down the separation channel electrophoretically toward the anode. The velocity of the lysate was 1.44 mm/s. It took less than 33 ms, the length of time between consecutive video frames, to completely lyse the cell. The cell debris was transported into the waste channel more efficiently with this design than previous in designs (see Figure 2E). In addition to the cell transport redesign, the flow rates on this device were more easily controlled by inserting an adjustable flow splitter into the line between the chip and syringe pump (Figure 1B).
Figure 2.
Still images obtained from a video of Jurkat cells lysing. The cells in frame A are hydrodynamically transported toward the lysis intersection. In frame B, the cells at the intersection encounter an electric field that causes them to lyse. In frames C–E, the cell lysate is electrophoretically transported down the separation channel while the cell debris is shunted to the waste channel.
A major advantage of this new design is that a DC electric field could be used for cell lysis rather than the high voltage AC electric field previously reported. 24 This is important, as the high field AC requires a specialized and expensive generator. In addition, the DC electric field strength necessary for consistent cell lysis and lysate injection was less than half that of the previously reported required AC electric field strength.24 The constant voltage applied between reservoirs 1 and 4 (Figure 1B) generated a field strength of ~ 375 V/cm in the cell lysing region of the chip.24 The significantly lower field strength requirements are due to the substantially longer residence time of the cell in the lysis field and the fact that the cell lysate does not need to change migration direction in order to be injected into the separation channel.
The run buffer contained 2% BSA (w/v), which served as a dynamic coating to reduce the adhesion of cell membranes and other biomolecules to the microchip channel surfaces. BSA also substantially reduced the electroosmotic flow in the separation channel. Under these separation conditions, the electrophoretic mobilities of the two negatively charged reporting dyes used for the NO experiments described below were greater than the electroosmotic flow. Therefore, the analytes were detected as they travelled toward the anodic buffer reservoir (reservoir 4 in Figure 1B) following injection into the separation channel.
Lysate Separation Efficiency
When performing very high throughput analysis of single cells, it is crucial that the electrophoretic separation is fast and that the peaks exhibit high separation efficiencies. Unfortunately with this device design, it was not possible to directly determine the number of theoretical plates obtained for the analytes of interest in single cells because the cells entered the intersection randomly during any particular run. Instead, the migration velocities of the 6-CFDA and DAF-FM were calculated from videos of the lysate migration under the same separation conditions as those used to obtain single point separations. The calculated migration velocities (e.g. 1.44 mm/s for 6-CFDA) from these videos were used to convert the temporal peak variances measured on the electropherograms to spatial variances so that the peak dispersion could be calculated and compared to predicted values. The predicted (or theoretical) peak dispersion values were calculated based upon the published diffusion coefficient of fluorescein52 together with the peak broadening expected from the parabolic flow generated in the separation channel from the syringe pump.
The fluidic resistances in the channel manifold were designed so that the overall flow out of the separation channel was only about 3% of the flow going into channel 5 (see supplemental information S2). The experimentally determined peak dispersion coefficient was 1.1 × 10−5 cm2/s. The predicted dispersion from diffusion (4.5 × 10−6 cm2/s)52 and the hydrodynamic (parabolic) flow (negligible compared to the diffusion) in the separation channel was ~4.5 × 10−6 cm2/s. The experimentally measured value is only ~2.5 times that of the predicted value. Given the crude and indirect nature of these measurements, the agreement is remarkably good and shows that the separations are behaving as expected.
Measurement of NO Production in Jurkat Cells
The optimized microfluidic device described above was then used to determine NO production in a population of individual Jurkat cells. The generation of NO by this cell type was measured in bulk previously by our groups using microchip electrophoresis with LIF detection, making direct comparison of the bulk cell measurements with those of single cell distributions possible. 10
Cells were stimulated with LPS, which is known to up-regulate expression of iNOS, resulting in increased intracellular NO production. Control cells were treated in the same manner, but were not exposed to LPS. The intracellular production of NO production in the cells was measured using DAF-FM DA. The cells were co-labeled with 6-CFDA, which was used as an internal standard to account for variation in fluorescence intensity when using different microchips and for differences in cell size (volume) as well as variations in esterase activity. The fluorescence yield of 6-CFDA was not affected by the presence of intracellular NO.
The analytes present in the cell lysates were detected using laser-induced fluorescence at a distance of 5 mm from the intersection on the separation channel. Figure 3 shows typical electropherograms obtained for native and stimulated cells. Three distinct peaks are observed. The first tall peak indicates partially hydrolyzed 6-CFDA (6-CFp). The second peak is the completely hydrolyzed 6-CFDA (6-CF). The last peak is the benzotriole derivative of DAF-FM (DAF-FM T) that corresponds to the NO concentration in the cell. The peak identities were verified by labeling a separate batch of cells with the individual dyes (supporting information S3).
Figure 3.
Electrophoretic separation of dyes released from individual cells. These are 20 s and 30 s segments from a 120 s run. Each cell produced a peak envelope consisting of one tall peak due to partially hydrolyzed 6-CFDA (6-CFp) and a shorter doublet ~3 s later due to fully hydrolyzed 6-CFDA (6-CF) and DAF-FM T. There is a marked increase in DAF-FM T peak height relative to the 6-CF peak following stimulation.
The device was then used for the analysis of populations of control and stimulated cells. Due to the lack of a “cell standard,” it was not possible to directly quantitate the amount of NO produced in these experiments. However, the ratio of DAF-FM to the products of the 6-CF hydrolysis could be used to evaluate the relative change in NO production in basal versus stimulated cells. Table 1 shows the DAF-FM T, 6-CF and 6-CFp peak height and peak area ratios. As can be seen from this table, the ratio of the two products of 6-CF does not change upon stimulation, but the ratio of DAF-FM T to either of these “internal standards” doubles (Table 1).
Table 1.
Average peak ratios. The upper table contains the average peak area ratios while the lower table contains the average peak height ratios. The standard deviations for each measurement are reported in parentheses.
| Peak area ratio | 6-CF/6-CFp | DAF-FM T/6-CF | DAF-FM T/6-CFp | Number of cells |
|---|---|---|---|---|
| Native cells | 0.46 (±0.26) | 0.39 (±0.34) | 0.16 (±0.12) | 100 |
| Stimulated cells | 0.48 (±0.15) | 0.72 (±0.21) | 0.34 (±0.12) | 100 |
| Mean stimulated/mean native ratio | 1.00 (±0.30) | 1.80 (±0.40) | 2.10 (±0.17) | |
| Native cells | 0.21 (±0.31) | 0.26 (±0.08) | 0.054 (±0.07) | 100 |
| Stimulated cells | 0.17 (±0.05) | 0.61 (±0.13) | 0.10 (±0.03) | 100 |
| Mean stimulated/mean native ratio | 0.80 (±0.31) | 2.30 (±0.15) | 1.90 (±0.08) |
| Peak height ratio | 6-CF/6-CFp | DAF-FM T/6-CF | DAF-FM T/6-CFp | Number of cells |
|---|---|---|---|---|
| Native cells | 0.21 (±0.31) | 0.26 (±0.08) | 0.054 (±0.07) | 100 |
| Stimulated cells | 0.17 (±0.05) | 0.61 (±0.13) | 0.10 (±0.03) | 100 |
| Mean stimulated/mean native ratio | 0.80 (±0.31) | 2.30 (±0.15) | 1.90 (±0.08) |
Figure 3B shows a representative electropherogram obtained for the Jurkat cells after three hours of stimulation. The addition of LPS resulted in an increase in NO production as shown by the relative increase in the DAF-FM T peak compared to the 6-CF and 6-CFp peaks in Figure 3B versus the control cells in Figure 3A. A histogram of the distributions of the DAF-FM T/6-CF ratios for 100 stimulated versus 100 control cells is shown in Figure 4. The other distributions are available in the supplementary information (S4). The relative increase in NO production for the stimulated cells was calculated using equation 1 below.
| (1) |
Both the peak height and peak area ratios indicate a twofold increase in NO concentration following 3 hr stimulation of cells with LPS (Table 1). A comparison of the means of two independent samples t-test between the relative NO concentrations in the native and stimulated cells shows the difference to be statistically significant for the both peak height and peak area ratios (n = 199; p < 0.0005)53
Figure 4.
A is a histogram of DAF-FM T/6-CF peak area ratios calculated for 100 native cells (dark grey) and stimulated cells (light grey). B is a histogram of peak height ratios of the same cells. The peak ratios of cells increase due to increased NO production following stimulation of Jurkat cells with LPS for 3 h.
There are a variety of potential interferences that can arise when using DAF-FM DA as a probe molecule for NO. For example DAF FM can produce a fluorescent species due to photo-oxidation of the probe, contamination of DAF FM T or formation of interfering products due to dehydroascorbic acid.54,55 Also, DAF FM can produce fluorescence species by superoxide. However, DAF FM does not produce interfering products due to peroxynitrite (low concentrations, below 10 LM), nitrite and H2O2. Although, H2O2 can enhance the fluorescence of DAF-FM when NO is present54. These issues were addressed in our bulk cell studies paper which was previously published in Analytical Methods.10 In that study we showed the separation of DAF FM DHA (the fluorescent product due to dehydroascorbic acid) from DAF FM T and that only a negligible peak due to DAF FM DHA was observed.10 Under the present separation conditions DAF FM and DAF FM T co migrate- however we observed negligible fluorescence from DAF FM itself.10 Additionally, Hoegger's group has shown that DAF FM can form fluorescence products during DAF FM freeze-thaw cycles.10 To prevent these issues we made new DAF FM DA stock solutions for each set of experiments.
Device Ruggedness. All of the data shown in Figure 4 was obtained from cells using the same device over the course of sequential 14 runs – 7 for the native cells and 7 for the stimulated cells. At least 20 cells were detected for each run, but 20 cells were not always analyzed due to peak overlap. The results obtained for the video analysis and the diffusion coefficient measurements were obtained using separate devices. We did not perform quantitative device-to-device comparisons in these studies. However, in all cases, a single device could be used multiple times before failing.
Bulk vs. Single Cell Analysis
We have recently published a report on the NO concentration levels in native and stimulated Jurkat bulk cell lysates using microchip electrophoresis with LIF detection.10 The stimulation and measurement parameters used in these studies were carried out as closely as possible to those used in the previous paper. This makes it possible to compare these single cell analysis results with those obtained previously via bulk cell measurements. The average DAF-FM T/6-CFDA peak height ratios are 2.3±0.15 times greater for the stimulated cells compared to the native cells. The average single cell results are in remarkably close agreement (twofold increase) to the bulk cell analysis results which showed a 2.2±0.2 increase upon LPS stimulation. In addition, reports with other cells types show a similar increase in NO production upon stimulation by LPS only.10,14,56,57
In our previous paper the average amount of NO produced per cell was quantitated using a true NO standard with the average native cell producing 0.6±0.1 mM NO and a stimulated cell producing 1.5±0.4 mM NO.10 Given the similar conditions under which the experiments were performed and the similar increase seen in the DAF-FM T/6-CF peak height and area ratios, it is probable that the average amount on NO in the cells is comparable to these previous results.
One limitation with the device as it is now configured is that the injection voltage is continuously on so that whenever a cell enters the lysis intersection it is automatically injected. This makes it difficult to generate calibration curves to make quantitative measurements, as gated injections cannot easily be generated. This calibration issue, however can potentially be overcome through the packaging of calibration standards in liposomes.
CONCLUSIONS
We have developed an integrated glass/PDMS hybrid microfluidic device for high throughput analysis of single cells. The device uses a new channel manifold design to significantly improve the reliability and robustness of the cell lysis and lysate injection. Intracellular detection of NO in single cells was accomplished using DAF-FM (a NO-specific fluorophore) and 6-CFDA (an internal standard). The single cell analysis system was used to determine the increase in NO production following stimulation with LPS. A three-hour stimulation of the cells with LPS resulted in a twofold increase in NO production. A comparison of bulk and single cell NO measurements was performed, and the average NO production in single cells compared well to the increase measured at the bulk cell level. In future studies, we will incorporate electrodes in the bulk and single cell analysis chips for the simultaneous detection of f NO, peroxynitrite as well as other molecules that play an important role in inflammation including glutathione, ascorbic acid and nitrotyrosine by microchip electrophoresis with amperometric detection.
Supplementary Material
ACKNOWLEDGMENTS
This research was funded by NIH grant R21NS061202. E.M was generously supported by Terry Johnson Cancer Center, Kansas State University. An NSF REU program co-sponsored by DOD ASSURE (CHE-1004991) supported P.B. The International Internship Programme, University of Catania, Italy, supported G.C. and M.K.H. was a recipient of an American Heart Association postdoctoral fellowship. J.A.F. da Silva was sponsored by Fundac̵ão de Amparoà Pesquisa do Estado de São Paulo, FAPESP (grant 2010/01046-6).
Footnotes
SUPPORTING INFORMATION AVAILABLE
Video of cell lysis, fluidic resistance calculation, and determination of separation efficiencies. Also, electropherograms of cells labeled with 6-CFDA and histograms for comparison of stimulated and native cells. This material is available free of charge via the Internet at http://pubs.acs.org.
References
- 1.Brehm-Stecher BF, Johnson EA. Microbiol. Mol. Biol. Rev. 2004;68:538–559. doi: 10.1128/MMBR.68.3.538-559.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Wang D, Bodovitz S. Trends Biotechnol. 2010;28:281–290. doi: 10.1016/j.tibtech.2010.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Varin A, Gordon S. Immunobiology. 2009;214:630–641. doi: 10.1016/j.imbio.2008.11.009. [DOI] [PubMed] [Google Scholar]
- 4.Gordon S. Nat. Rev. Immunol. 2003;3:23–35. doi: 10.1038/nri978. [DOI] [PubMed] [Google Scholar]
- 5.Brombacher F, Arendse B, Peterson R, Hoelscher A, Hoelscher C. Methods Mol. Biol. (Totowa, NJ, U. S.) 2009;531:225–252. doi: 10.1007/978-1-59745-396-7_15. [DOI] [PubMed] [Google Scholar]
- 6.Tymvios C, Moore C, Jones S, Solomon A, Sanz-Rosa D, Emerson M. Brit. J. Pharm. 2009;158:1735. doi: 10.1111/j.1476-5381.2009.00408.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Tiscornia A, Cairoli E, Marquez M, Denicola A, Pritsch O, Cayota A. Journal of Immunological Methods. 2009;342:49. doi: 10.1016/j.jim.2008.11.014. [DOI] [PubMed] [Google Scholar]
- 8.Yasuda H. Nitric Oxide/Biol. Chem. 2008;19:205–216. doi: 10.1016/j.niox.2008.04.026. [DOI] [PubMed] [Google Scholar]
- 9.Muller G, Morawietz H. Antioxid. Redox Sign. 2009;11:1711–1731. doi: 10.1089/ars.2008.2403. [DOI] [PubMed] [Google Scholar]
- 10.Mainz ER, Gunasekara DB, Caruso G, Jensen DT, Hulvey MK, Fracassi d. S. J. A., Metto EC, Culbertson AH, Culbertson CT, Lunte SM. Anal. Methods. 2012;4:414. [Google Scholar]
- 11.Floyd PD, Moroz LL, Gillette R, Sweedler JV. Anal. Chem. 1998;70:2243. doi: 10.1021/ac9713013. [DOI] [PubMed] [Google Scholar]
- 12.Ye X, Xie F, Romanova EV, Rubakhin SS, Sweedler JV. ACS Chem. Neurosci. 2010;1:182. doi: 10.1021/cn900016z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ye X, Kim W-S, Rubakhin SS, Sweedler JV. J. Neurochem. 2007;101:632. doi: 10.1111/j.1471-4159.2006.04395.x. [DOI] [PubMed] [Google Scholar]
- 14.Kim W-S, Ye X, Rubakhin SS, Sweedler JV. Anal. Chem. 2006;78:1859. doi: 10.1021/ac051877p. [DOI] [PubMed] [Google Scholar]
- 15.Cruz L, Moroz LL, Gillette R, Sweedler JV. In J Neurochem. 1997:110. doi: 10.1046/j.1471-4159.1997.69010110.x. [DOI] [PubMed] [Google Scholar]
- 16.Moroz LL, Dahlgren RL, Boudko D, Sweedler JV, Lovell PJ. Inorg. Biochem. 2005;99:929. doi: 10.1016/j.jinorgbio.2005.01.013. [DOI] [PubMed] [Google Scholar]
- 17.Vogel PA, Halpin ST, Martin RS, Spence DM. Anal. Chem. 2011;83:4296–4301. doi: 10.1021/ac2004746. [DOI] [PubMed] [Google Scholar]
- 18.Halpin ST, Spence DM. Anal. Chem. 2010;82:7492–7497. doi: 10.1021/ac101130s. [DOI] [PubMed] [Google Scholar]
- 19.Letourneau S, Hernandez L, Faris AN, Spence DM. Anal. Bioanal. Chem. 2010;397:3369–3375. doi: 10.1007/s00216-010-3687-7. [DOI] [PubMed] [Google Scholar]
- 20.Spence DM, Torrence NJ, Kovarik ML, Martin RS. Analyst. 2004;129:995–1000. doi: 10.1039/b410547h. [DOI] [PubMed] [Google Scholar]
- 21.Wilson HM. J. Cell. Mol. Med. 2010;14:2055–2065. doi: 10.1111/j.1582-4934.2010.01121.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Mantovani A, Garlanda C, Locati M. Arterioscler., Thromb., Vasc. Biol. 2009;29:1419–1423. doi: 10.1161/ATVBAHA.108.180497. [DOI] [PubMed] [Google Scholar]
- 23.Colton CA. J Neuroimmune Pharmacol. 2009;4:399–418. doi: 10.1007/s11481-009-9164-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.McClain MA, Culbertson CT, Jacobson SC, Allbritton NL, Sims CE, Ramsey JM. Anal. Chem. 2003;75:5646–5655. doi: 10.1021/ac0346510. [DOI] [PubMed] [Google Scholar]
- 25.Lin Y, Trouillon R, Safina G, Ewing AG. Anal. Chem. 83:4369. doi: 10.1021/ac2009838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Phillips KS, Lai HH, Johnson E, Sims CE, Allbritton NL. Lab Chip. 2011;11:1333. doi: 10.1039/c0lc00370k. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Liu Y-M, Zhao S, Alterman MA, Hunziker P. In: Amino Acid Analysis: Methods and Protocols. Walker JM, editor. Humana Press; 2012. p. 351. [Google Scholar]
- 28.Hosokawa M, Hayashi T, Mori T, Yoshino T, Nakasono S, Matsunaga T. Anal. Chem. 2011;83:3648. doi: 10.1021/ac2000225. [DOI] [PubMed] [Google Scholar]
- 29.Jiang D, Sims CE, Allbritton NL. Electrophoresis. 2010;31:2558. doi: 10.1002/elps.201000054. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lai HH, Quinto-Su PA, Sims CE, Bachman M, Li GP, Venugopalan V, Allbritton NL. J R Soc Interface. 2008;5(Suppl 2):S113–21. doi: 10.1098/rsif.2008.0177.focus. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Trouillon R, Passarelli MK, Wang J, Kurczy ME, Ewing AG. Anal. Chem. 2013;85:522–542. doi: 10.1021/ac303290s. [DOI] [PubMed] [Google Scholar]
- 32.Kovarik ML, Gach PC, Ornoff DM, Wang Y, Balowski J, Farrag L, Allbritton NL. Anal. Chem. 2012;84:516–40. doi: 10.1021/ac202611x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Price AK, Culbertson CT. Anal. Chem. 2007;79:2614–2621. doi: 10.1021/ac071891x. [DOI] [PubMed] [Google Scholar]
- 34.Dickinson AJ, Armistead PM, Allbritton NL. Anal. Chem. 2013;85:4797–4804. doi: 10.1021/ac4005887. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Cecala C, Rubakhin SS, Mitchell JW, Gillette MU, Sweedler JV. Analyst. 2012;137:2965. doi: 10.1039/c2an35198f. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Culbertson CT. In: Microchip Capillary Electrophoresis. Henry C, editor. Humana; Totowa, NJ: 2006. pp. 203–216. [Google Scholar]
- 37.Cecala C, Sweedler JV. Analyst. 2012;137:2922–9. doi: 10.1039/c2an16211c. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Sims CE, Allbritton NL. Lab Chip. 2007;7:423–40. doi: 10.1039/b615235j. [DOI] [PubMed] [Google Scholar]
- 39.Lion N, Reymond F, Girault HH, Rossier JS. Curr. Opin. Biotech. 2004;15:31. doi: 10.1016/j.copbio.2004.01.001. [DOI] [PubMed] [Google Scholar]
- 40.Roman GT, Chen YL, Viberg P, Culbertson AH, Culbertson CT. Anal. Bioanal. Chem. 2007;387:9–12. doi: 10.1007/s00216-006-0670-4. [DOI] [PubMed] [Google Scholar]
- 41.Yin H, Marshall D. Curr Opin Biotechnol. 2012;23:110–9. doi: 10.1016/j.copbio.2011.11.002. [DOI] [PubMed] [Google Scholar]
- 42.Kovarik ML, Shah PK, Armistead PM, Allbritton NL. Anal. Chem. 85:451–472. doi: 10.1021/ac4002029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Greif D, Galla L, Ros A, Anselmetti D. J Chromatogr A. 2008;1206:83–8. doi: 10.1016/j.chroma.2008.07.013. [DOI] [PubMed] [Google Scholar]
- 44.Xu C-X, Yin X-FJ. Chromatogr. A. 2011;1218:726. doi: 10.1016/j.chroma.2010.11.049. [DOI] [PubMed] [Google Scholar]
- 45.Zhu L, Lu M, Yin X. Talanta. 2008;75:1227–33. doi: 10.1016/j.talanta.2008.01.017. [DOI] [PubMed] [Google Scholar]
- 46.Zhang X, Li Q, Chen Z.-z., Li H, Xu K, Zhang L, Tang B. Lab Chip. 2011;11:1144. doi: 10.1039/c0lc00263a. [DOI] [PubMed] [Google Scholar]
- 47.Yu L, Huang H, Dong X, Wu D, Qin J, Lin B. Electrophoresis. 2008;29:5055–60. doi: 10.1002/elps.200800331. [DOI] [PubMed] [Google Scholar]
- 48.Hargis AD, Alarie JP, Ramsey JM. Electrophoresis. 2011;32:3172–9. doi: 10.1002/elps.201100229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Duffy DC, McDonald JC, Schueller OJA, Whitesides GM. Anal. Chem. 1998;70:4974. doi: 10.1021/ac980656z. [DOI] [PubMed] [Google Scholar]
- 50.Yang Q, Zhang X, Bao X, Lu H, Zhang W, Wu W, Miao H, Jiao BJ. Chromatogr. A. 2008;1201:120. doi: 10.1016/j.chroma.2008.06.001. [DOI] [PubMed] [Google Scholar]
- 51.Shah D. Biomicrofluidics. 2012;6:014111. doi: 10.1063/1.3689859. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Culbertson CT, Jacobson SC, Ramsey JM. Talanta. 2002;56:365. doi: 10.1016/s0039-9140(01)00602-6. [DOI] [PubMed] [Google Scholar]
- 53.Marssart DL, Vandeginste BGM, Deming SN, Michotte Y, Kaufman L. Chemometrics: A textbook. Vol. 2. Elsevier; 1988. p. 488. [Google Scholar]
- 54.Balcerczyk A, Soszynski M, Bartosz G. Free Radical Biol. Med. 2005;39:327–335. doi: 10.1016/j.freeradbiomed.2005.03.017. [DOI] [PubMed] [Google Scholar]
- 55.Zhang X, Kim W-S, Hatcher N, Potgieter K, Moroz LL, Gillette R, Sweedler JV. J. Biol. Chem. 2002;277:48472–48478. doi: 10.1074/jbc.M209130200. [DOI] [PubMed] [Google Scholar]
- 56.Koide N, Sugiyama T, Mori I, Mu MM, Yoshida T, Yokochi TJ. Endotoxin Res. 2003;9:85–90. doi: 10.1179/096805103125001450. [DOI] [PubMed] [Google Scholar]
- 57.Goto M, Sato K, Murakami A, Tokeshi M, Kitamori T. Anal. Chem. 2005;77:2125–2131. doi: 10.1021/ac040165g. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.




