This protocol describes the microfabrication techniques required to build a lab-on-a-chip, microfluidic electroporation device. The experimental setup performs controlled, single-cell-level transfections in a continuous flow and can be extended to higher throughputs with population-based control. An analysis is provided showcasing the ability to electrically monitor the degree of cell membrane permeabilization in real-time.
Current therapeutic innovations, such as CAR-T cell therapy, are heavily reliant on viral-mediated gene delivery. Although efficient, this technique is accompanied by high manufacturing costs, which has brought about an interest in using alternative methods for gene delivery. Electroporation is an electro-physical, non-viral approach for the intracellular delivery of genes and other exogenous materials. Upon the application of an electric field, the cell membrane temporarily allows molecular delivery into the cell. Typically, electroporation is performed on the macroscale to process large numbers of cells. However, this approach requires extensive empirical protocol development, which is costly when working with primary and difficult-to-transfect cell types. Lengthy protocol development, coupled with the requirement of large voltages to achieve sufficient electric-field strengths to permeabilize the cells, has led to the development of micro-scale electroporation devices. These micro-electroporation devices are manufactured using common microfabrication techniques and allow for greater experimental control with the potential to maintain high throughput capabilities. This work builds off a microfluidic-electroporation technology capable of detecting the level of cell membrane permeabilization at a single-cell level under continuous flow. However, this technology was limited to 4 cells processed per second, and thus a new approach for increasing the system throughput is proposed and presented here. This new technique, denoted as cell-population-based feedback control, considers the cell permeabilization response to a variety of electroporation pulsing conditions and determines the best-suited electroporation pulse conditions for the cell type under test. A higher-throughput mode is then used, where this ‘optimal’ pulse is applied to the cell suspension in transit. The steps for fabricating the device, setting up and running the microfluidic experiments, and analyzing the results are presented in detail. Finally, this micro-electroporation technology is demonstrated by delivering a DNA plasmid encoding for green fluorescent protein (GFP) into HEK293 cells.
Current therapeutic innovations in biomedical research, such as CAR-T (Chimeric Antigen Receptor Engineered T cell) cell therapy and genetic editing using CRISPR (clustered regularly interspaced short palindromic repeat DNA sequences)/Cas9, heavily rely on the ability to deliver exogenous material both successfully and efficiently into the intracellular space1. In CAR-T therapy, the gold standard to perform the gene delivery step in cell therapy manufacturing is using viral vectors2. Though viral-mediated gene delivery is an efficient delivery modality, it also has several drawbacks. These include manufacturing costs, cytotoxicity, immunogenicity, mutagenesis/tumorigenesis potential, and size limitations on the gene(s) to be delivered3. These limitations have led to the research and development of alternative, non-viral delivery technologies.
Electroporation, an alternative to viral-mediated gene delivery, relies on the application of an optimal electrical pulse waveform to perform DNA, RNA, and protein transfections of cells. Following the application of an external electric field, the cell membrane is briefly compromised, making the cell susceptible to the intracellular delivery of otherwise impermeable exogenous materials4. Compared to viral-mediated delivery, electroporation is advantageous as it is generally safe, easy to operate, and has low operating costs. Electroporation can deliver both small and large molecular cargo and can be efficient in transfecting cells regardless of lineage5. To achieve desirable outcomes following electroporation, i.e., good viability and good electro-transfection efficiency, a variety of experimental parameters need to be co-optimized. These include cell type6, cell density, molecule concentration7, electroporation buffer properties (e.g., molecular composition, conductivity, and osmolarity)8, electrode size/geometry9, and electrical pulse waveform (shape, polarity, number of pulses)10 (refer to Figure 1 for an illustration). Although each of these parameters can have a significant effect on the outcomes of electroporation experiments, pulse waveform has been especially studied in great detail, as the electrical energy of the applied pulse(s) is the root of the intrinsic trade-off between the resulting cell viability and electro-transfection efficiency8.
Typically, electroporation experiments are performed on the macro-scale, where cells are suspended in 100s of microliters of buffer between a set of large, parallel-plate electrodes within an electroporation cuvette. The electrodes are commonly manufactured out of aluminum with an electrode distance of 1-4 mm. Once the cells are manually loaded via pipette, the cuvette is electrically connected to a bulky, electrical pulse generator where the user can set and apply the pulse waveform parameters to electroporate the cell suspension. Although macro-scale or bulk electroporation can process cell densities >106 cells/mL, this feature can be wasteful when optimizing the electrical pulse waveform settings. This is particularly of concern when electroporating primary cell types where the cell population numbers can be limited. Additionally, due to the large distance between the electrodes, the pulse generator must be able to supply large voltages to achieve electric field strengths >1kV/cm11. These high voltages cause resistive power dissipation through the electrolyte buffer resulting in Joule heating, which can be detrimental to the resulting cell viability12. Lastly, performing electroporation on a dense suspension of cells will consistently be burdened with an innate variability in the resulting electro-transfection efficiency and cell viability. Each cell in suspension could experience a different electric field strength due to the surrounding cells. Depending on whether the experienced electric field strength is either increased or decreased, the resulting cell viability or electro-transfection efficiency may each be negatively impacted11. These downsides to macro-scale electroporation have led to the pursuit and development of alternative technologies that operate on the micro-scale and allow for better control at the single-cell level.
The field of BioMEMS, or biomedical micro-electro-mechanical systems, stems from the technological advancements made in the microelectronics industry. Specifically, utilizing microfabrication processes to develop micro-devices for the advancement of biomedical research. These advancements include the development of micro-electrode arrays for in vivo electrical monitoring13, capacitive micro-electrodes for in situ electroporation14, miniaturized organ-on-a-chip devices15, microfluidic point-of-care diagnostics16, biosensors17, and drug delivery systems18, including nano- and micro-electroporation devices19,20,21. Due to the ability to design and manufacture devices at the same size scale as biological cells, nano- and micro-electroporation technologies are advantageous when compared to their macro-scale counterpart22,23. These electroporation devices eliminate the requirement of high voltage pulse applications, as electrode sets with spacings of 10s to 100s of micrometers are typically integrated. This feature drastically reduces the current through the electrolyte, which in turn reduces the accumulation of toxic electrolysis products and the effects of Joule heating in these systems. The micro-scale channels also ensure that a much more uniform electric field is reliably applied to the cells during pulse application, resulting in more consistent outcomes24. In addition, it is also commonplace for micro-electroporation devices to be integrated into a microfluidic platform which lends itself for future integration into a fully automated technology, a highly desirable capability in cell therapy manufacturing25. Lastly, micro-scale electroporation allows for the electrical interrogation of electroporation events. For example, the degree of cell membrane permeabilization can be monitored in real-time at a single cell level26,27. The purpose of this method is to describe the microfabrication, system operation, and analysis of a microfluidic, single-cell micro-electroporation device capable of measuring the degree of cell membrane permeabilization for optimizing electroporation protocols, yet increasing throughput over the previous state-of-the-art.
Performing single-cell level electroporation is no longer a novel technique, as it was first demonstrated by Rubinsky et al. in 2001 with the development of a static cell electroporation technology28. Their micro-device was innovative as they were the first to demonstrate the ability to electrically monitor the event of electroporation. This has further led to the development of static, single-cell electroporation technologies capable of electrically detecting the degree of cell membrane permeabilization in a parallelized manner to increase the throughputs of the devices. However, even with parallelization and batch processing, these devices severely lack the total number of cells they can process per unit time29,30. This limitation has led to the development of flow-through devices capable of performing single-cell level micro-electroporation at much greater throughputs31. This device transition, from static to flow-through environment, limits the capability of electrically monitoring the degree of cell membrane permeabilization following the application of the electroporation pulse. The method described in this work bridges the gap between these two technologies, a micro-electroporation technology capable of electrically detecting, pulsing, and monitoring the degree of cell membrane permeabilization of individual cells, in a continuous-flow, serial fashion.
This technology was recently described in Zheng et al. In that work, the capabilities of this technology were introduced with the completion of a parametric study, where both the amplitude and duration of the electroporation pulse were varied, and the ensuing electrical signal, indicative of cell membrane permeabilization, was explored32. The results showed that an increase in the intensity of the electroporation pulse (i.e., increase in applied electric field or increase in pulse duration) caused an increase in the measured cell membrane permeabilization. To further validate the system, a common fluorescent indicator of successful electroporation, propidium iodide33, was added to the cell suspension, and a fluorescence image was captured immediately following the application of the electrical pulse. The optical signal, i.e., the fluorescence intensity of propidium iodide inside the cell, was strongly correlated with the electrical measurement of the degree of cell membrane permeabilization, verifying the reliability of this electrical measurement. However, this work only considered the delivery of the small molecule propidium iodide, which has little to no translatable significance.
In this work, a new application of this technology is introduced to improve upon the throughput of the system while delivering a biologically active plasmid DNA (pDNA) vector and assessing the electro-transfection efficiency of cells replated and cultured following electroporation. Though the previous work outperforms existing micro-electroporation technologies that are capable of electrically measuring the event of electroporation, the current state of the device still requires long cell transit times between the electrode set (~250 ms) to perform the cell detection, pulse application, and the cell membrane permeabilization measurement. With a single channel, this limits the throughput to 4 cells/s. To combat this limitation, a new concept of cell-population-based feedback-controlled electroporation is introduced to perform pDNA electro-transfection. By using a hypo-physiologic conductivity electroporation buffer, this system allows for the electrical interrogation of single cells across a multitude of electroporation pulse applications. Based on the electrical response, an 'optimal' electroporation pulse is then determined. A 'high-throughput' mode is then implemented where the cell membrane permeabilization determination is nullified, the flow rate is increased, and the electroporation pulse duty cycle is matched to the cell transit time to ensure one pulse per cell in transit between the electrodes. This work will provide extensive details into the microfabrication steps for the manufacturing of the micro-device, the material/equipment and their setup required to perform the experimentation, and the operation/analysis of the device and its electro-transfection efficiency (eTE).
Figure 1: Experimental factors affecting electroporation outcomes. (Left) Cell Suspension-Important factors to consider prior to the onset of electroporation include: Payload (in this case, pDNA), concentration, cell density, and electroporation buffer properties. Electroporation buffer properties to consider are conductivity, osmolarity, and the exact molecular composition contributing to these values. (Middle) Pulse Application-The exact pulse-type (square wave vs. exponential decay) and pulse waveform (single pulse vs. pulse train) must be optimized to maximize both the resulting cell viability and electro-transfection efficiency. Common pulse trains implemented in electroporation processes are typically composed of a series of High Voltage (HV) pulses or series of pulses rotating between HV and Low Voltage (LV) pulse magnitudes. (Right) Cell Recovery-Down-stream processing steps, in particular, the recovery cell culture media that cells are transferred to, should be optimized. Not featured (Far Left), additional upstream cell processing steps can be implemented for overall electroporation process optimization. Please click here to view a larger version of this figure.
NOTE: Users should review all MSDS for the materials and supplies used in this protocol. Appropriate PPE should be worn at each step and sterile technique used during experimentation. Sections 1-7 discuss the device fabrication.
1. Device fabrication- Mask design
NOTE: Refer to Figure 2 for an illustration of the microfabrication process. The microfabrication steps are to be carried out in a cleanroom environment. Additional PPE is necessary (hair net, facial hair net, mask, cleanroom suit, shoe covers).
2. Device fabrication- Photolithography
NOTE: The provided microfabrication recipes are adopted from the photoresists' manufacturer's recommendations and should only be used as a starting point34. Exact values for baking times, exposure times, etc., need to be optimized for each fabrication protocol. It is recommended to use wafer tweezers for handling both silicon wafers and glass slides.
3. Device fabrication: Hydrofluoric acid (HF) etch
CAUTION: This step involves the handling and disposal of hydrofluoric acid (HF), which can cause deep, painful chemical burns. Additional PPE should be used to protect the handler (face shield, elbow-length chemically resistant gloves, chemically resistant apron with sleeves). Calcium gluconate acid neutralizer and skin gel should be kept in proximity of the lab bench. This step should not be performed alone. HF should never be stored in or dispensed into glass containers as the container will be etched by the acid.
NOTE: The HF uniformly etches the exposed glass (i.e., the electrode design) to form a recess in the glass, allowing for better edge resolution of the electrode pattern after metal deposition (section 4).
4. Device fabrication: Physical vapor deposition
NOTE: This step involves the metal deposition onto the glass slide substrates to define the electrode patterns. Commonly used metal electrodes are chromium/gold and titanium/platinum. Gold and platinum do not adhere to the glass substrate, so a seed adhesion layer of chromium or titanium, respectively, is required to promote adhesion37.
5. Device fabrication: Photoresist lift-off
NOTE: This step involves dissolving the photoresist layer in an acetone bath, leaving the adhered platinum electrodes patterned on the glass slides.
6. Device fabrication: Soft lithography
NOTE: This step involves replica molding the microfluidic channel onto the SU-8 master relief structure using an elastomer, polydimethylsiloxane (PDMS).
7. Device fabrication: PDMS bonding/wire attachment
NOTE: This step involves treating the surface of the PDMS and glass substrate with an oxygen plasma to form an irreversible bond between the PDMS and glass38. The recipe provided may need to be adapted to the exact system used in the laboratory.
Figure 2: Microdevice fabrication. (A) Microfluidic Channel Fabrication-Key Steps: Silicon Wafer Cleaning (steps 2.1.1-2.1.3), Photoresist Coating and Soft Bake (steps 2.1.7-2.1.8), UV Exposure (step 2.1.10), Development (step 2.1.12), and PDMS Pouring (subsection 6.2). (B) Electrode Fabrication-Key Steps: Glass Slide Cleaning (steps 2.1.1-2.1.3), HMDS Coating and Photoresist Coating (steps 2.2.3-2.2.4), UV Exposure (step 2.2.8), Development (step 2.2.9), HF Etch (section 3), Physical Vapor Deposition (section 4), and Photoresist Lift-off (section 5). (C) Device Finalization-Key Steps: Inlet/Outlet Access and Sonication (step 6.2.3 and section 6.3), PDMS Bonding, and Wire Attachment (section 7). Please click here to view a larger version of this figure.
8. Cell culture and harvest
NOTE: Standard cell culture and sterile handling procedures should be utilized. Follow cell-type-specific protocol for cell culture.
9. Hardware/experimental setup
NOTE: Prior to harvesting cells for experimentation, ensure the experimental setup is completed to minimize the amount of time the cells are suspended in the electroporation buffer. Turn on electronics 20-30 min prior to experiments to warm up. Refer to Figure 3 for a schematic of the experimental setup for the operation of the single-cell detection module.
NOTE: A custom-built PA90 Op-Amp circuit was developed to accommodate both the sensitivity required for single-cell level detection using the lock-in amplifier and the high voltages required to apply sufficiently strong electroporation pulses. Refer to PA90 datasheet for specifications on recommended circuitry39.
Figure 3: Experimental setup schematic-Single cell detection. The high-power op-amp (PA-90) allows for the superposition of the high voltage electroporation pulse onto the lock-in Output AC signal that is required for the single-cell detection. This excitation signal passes through the micro-electroporation device (Device Under Test, DUT) where the current is then amplified by the current pre-amplifier and fed into the algorithm. The system continuously monitors for the cell detection event. Upon cell entry, a digital signal is generated by the lock-in amplifier to trigger the application of the electroporation pulse to the cell(s) in transit. Legend: PA-90 (high power op amp), DUT (device under test), DIO (digital input/output), FG-EP (function generator / electroporation pulse), 50X (50X amplifier), PS-V- (power supply / negative voltage for PA 90), FG-V+ (Function Generator, positive voltage for PA 90). Please click here to view a larger version of this figure.
10. Experimental operation
11. Analysis
Figure 4 highlights the operating principles behind the single-cell-level membrane permeabilization detection for a single pulse amplitude. Following the initiation of the electroporation experiment, the cell detection algorithm determines an optimal threshold for cell detection via a point-by-point, slope-based detection method. The system then continuously monitors (1) for a significant negative change in the measured electrical current, which is indicative of the entry of a cell. This is due to the insulative nature of the biological cell membrane, such that when the cell traverses through the electrode set, there is an instantaneous increase in impedance, resulting in a sharp, decrease in the measured current, allowing for consistent cell detection (2), which ultimately triggers the switch to the computer-controlled pulse application (4). The insulated cell displaces a volume of electrolyte between the electrodes, resulting in a drop in current that is proportional to the size of the cell. This change in current is denoted as ΔIC (3). Immediately following ΔIC calculation, the pre-determined, electrical pulse is administered (4) to the cell in transit. This instantaneous influx of energy introduces a brief sensing artifact into the system (grey box). Upon re-locking onto the signal, i.e., switching back to cell monitoring, (5) it is evident that the electroporation pulse permeabilized the cell membrane as the magnitude of current change due to the cell's presence between the electrode set drops upon exit (6). The difference in the two drops in current due to the cell's impedance magnitude pre/post electroporation pulse application is termed the permeabilization current and is denoted as ΔIP. Once the cell exits the volume between the electrodes, the baseline stabilizes, and the system returns to cell detection mode (1). After a pre-determined number of cells are electroporated, the next highest energy electroporation pulse is tested (Refer to Table 1 for pulse settings). For each electroporation pulse tested, an average 'degree of membrane permeabilization' is determined. This value is calculated as ΔIP/ΔIC. Once each pre-determined electroporation pulse is tested, the ΔIP/ΔIC is plotted against the applied electrical energy density (σ x E2 x t), where σ is the solution conductivity (S/cm), E is the electric field strength (kV/cm), and t is the pulse duration (ms). Refer to Figure 5 for the cell membrane permeabilization map for HEK293 cells used in this example.
Table 1: Electroporation pulse parameters. For this study, electroporation pulses were chosen such that the charge flux (σ×E×t) remains constant, where σ is the solution conductivity (S/cm), E is the electric field strength (kV/cm) and t is the pulse duration (ms). The result is a spectrum of the applied pulse electrical energy. Examples of the required duty cycle (d.c.) to achieve the specified pulse parameters are provided for both a 5× and 10× increase in the initial (single-cell-detection) flow rate. Please click here to download this Table.
Figure 4: Single cell membrane permeabilization – Algorithm operation. (Top) Electrical recording of a series of single-cell detections / pulse applications (indicated by the sharp spikes in current). (Bottom) System operation for the detection and pulsing of a single cell. (1) System is continuously sensing for a change in the current, via a point-by-point slope calculation. (2) A sharp decrease in the slope is detected, indicative of the entry of a cell between the electrodes and triggers the computer-controlled pulse application. (3) A current drop (ΔIC) is determined and is proportional to the size of the cell. (4) The electroporation pulse is applied to the cell in transit, causing a sensing artifact in the electrical signal (grey box). (5) The lock-in amplifier switches back to cell monitoring as it re-locks into the cell in transit. (6) The cell exits the electrode set, causing another, smaller magnitude spike in current (ΔIC > (I6 – I5)). The difference in the impedance measurements is due to pore formation through the insulated cell membrane. This change in current is termed the permeabilization current (ΔIP). The degree of cell membrane permeabilization is calculated (ΔIP/ΔIC). The baseline stabilizes and the system returns to detection mode (1). Please click here to view a larger version of this figure.
A distinct correlation is observed between the applied electrical energy and the degree of cell membrane permeabilization (Figure 5), with the existence of a transition region where a substantial increase in the degree of cell membrane permeabilization occurs. To that end, a pulse with electrical energy that surpasses this transition region is selected for the high-throughput phase of the micro-electroporation process (Figure 6). In this experiment, the 1.8 kV/cm: 670 µs pulse was determined as 'optimal'. As was described in detail in subsection 10.3 of the protocol, the system flow rate is increased, and the function generator set to continuously output a pulse with a set pulse and duty cycle (refer to Table 1 for pulse settings for 1.5 µL/min and 3.0 µL/min flow rates) to ensure 1 pulse is applied to each cell in transit. In this study, the flow rate was increased by 5x, thus the pulse width was set to 50 ms (matching the cell transit time) at a duty cycle (d.c.) of 2.7%.
Figure 5: HEK293 cell membrane permeabilization mapping -ΔIp/ ΔIc versus electrical energy. The electrical data (ΔIP/ ΔIC) is represented as the Mean ± SEM. Pulsing conditions (left to right)- 0.4 kV/cm : 3 ms, 0.8 kV/cm : 1.5 ms, 1.0 kV/cm : 1.2 ms, 1.2 kV/cm : 1 ms, 1.8 kV/cm : 0.67 ms, 2.4 kV/cm : 0.5 ms. A clear correlation is observed between the degree of cell membrane permeabilization and the electrical energy density of the applied pulse. For this round of experimentation, the 1.8 kV/cm: 0.67 ms pulsing condition was selected as the 'optimal' electroporation pulse for the high-throughput module. Please click here to view a larger version of this figure.
Figure 6: Cell-population-based feedback-controlled electroporation-Process workflow. To start, an initial flow rate is programmed (Q0) to allow for single-cell-level electrical interrogation. A programmable number of cells is pulsed at each pre-determined electroporation pulsing conditions (E0/t0 to EN/tN), with the applied electrical energy increasing with each iteration of electroporation pulse applications. Following the completion of the highest electrical energy pulse included in the study, EN/tN, the cell membrane permeabilization curve is plotted, and the optimal electroporation pulse is determined for the cell population under test. The system proceeds to high-throughput mode, where the flow rate is increased to Qthroughput, and the rate-limiting single-cell interrogation steps are omitted. The optimal pulse train will be continuously applied Eopt / topt at d.c.opt such that each cell in transit will receive a single electroporation pulse based on the cell transit time and the pulse width duty cycle (d.c.). Please click here to view a larger version of this figure.
Following 24 h of post-electroporation recovery, the cells were imaged to determine the electro-transfection efficiency (eTE). As described in subsection 11.2 of the protocol, the eTE was determined as the total number of cells expressing GFP normalized to the total number of cells stained with DRAQ5. The eTE for the 1.8 kV/cm : 670 µs pulse was determined to be ~70% (Figure 7A). To highlight the importance of the system to accurately map out the degree of cell membrane permeabilization and select a sufficiently high electroporation pulse energy when transitioning to the high-throughput mode, the 0.4 kV/cm: 3 ms pulse condition was also explored in terms of eTE (Figure 7B). In this case, the resulting eTE at 24 hours was less than 5%.
Figure 7: electro-Transfection Efficiency-GFP expression at 24 h. HEK293 cells were incubated at 37 °C for 24 hours following micro-electroporation experiments. All cells were stained with DRAQ5 (red), and the electro-transfection efficiency (eTE) was determined based on the ratio of cells expressing GFP (green) to the total cell number (red). Cell viability was not assessed as an outcome metric in this study. (A) Representative, stacked 4× fluorescence image of HEK293 cells successfully transfected via a 1.8 kV/cm: 670 µs pulse showing eTE of approximately 70%. (B) Representative, stacked 4× fluorescence image of HEK293 cells unsuccessfully transfected via a 0.4 kV/cm : 3 ms pulse showing eTE << 5%. Scale bar: 100 µm. Please click here to view a larger version of this figure.
Supplementary Figure 1: 2-Dimensional CAD schematic. The micro-electroporation device consists of a straight, 100 µm wide micro-channel with a 1 mm diameter inlet and a 3 mm diameter outlet. Each electrode trace is 100 µm wide and the electrode set encompasses the electroporation region of the device, which is 300 µm long. The 3-dimensional height of the micro-channel is controlled by the thickness of the photoresist. In this work, the height of the device was 20 µm. Please click here to download this File.
The methodology presented within this protocol primarily focuses on the microfabrication of a microfluidic device that is then integrated into a specialized electroporation experimental setup. The term 'recipe', which is often used when describing the specifics of the microfabrication process, hints at the importance of following/optimizing each step to successfully fabricate a functioning device. However, certain critical steps within the process, when not optimized, such as UV exposure time/energy, PVD sputtering rates/durations, and oxygen plasma generator settings, can be problematic to both the fabrication process as well as the successful execution of the electroporation experiments. Troubleshooting the fabrication process is primarily done via trial and error or a more controlled Design of Experiments experimental design. Additionally, there are alternative microfabrication techniques, such as Deep Reactive Ion Etching (DRIE), that can be substituted to perform the different steps within the protocol (i.e., using a DRIE etched molding structure to perform the soft lithography process). Furthermore, optimizing recipes and designing/fabricating devices can be time-consuming for novices in the field. However, once the microfabrication process has been successfully developed, the engineer/scientist has the freedom to design a device that is suitable to their specific needs.
To that end, the device described within this protocol was developed to expand upon our previous work32. This entailed the utilization of the single-cell membrane permeabilization electrical detection but in a higher-throughput manner. The experimental setup described within requires the need for specialized equipment, i.e., lock-in amplifier, that may be uncommon to the standard research lab and thus limiting the potential outreach and adaptability of this technique. However, a 'bare-bones' microfluidic electroporation device can be implemented following this protocol, requiring only a function generator and possibly a voltage amplifier to generate the electroporation pulses.
Nevertheless, this micro-electroporation platform distinguishes itself from other single-cell electroporation technologies. The ability to both electrically detect and optimize electroporation parameters on a single-cell suspension in a continuous-flow environment is truly innovative. Future work involves optimizing the other important experimental parameters related to successful electroporation outcomes (see Figure 1) to further improve the overall effectiveness of this platform. Additional viability and metabolic assays will be developed and implemented to assess any potential negative downstream effects associated with the micro-electroporation platform. Furthermore, the microfluidic design can continue to be improved upon to achieve higher cellular throughput, as has been demonstrated by other groups40. Upon addressing these concerns, this technology has the potential to be adopted into the cell therapy manufacturing process to perform gene delivery and/or gene editing, as this methodology is highly amenable to both a closed and automated process.
The authors have nothing to disclose.
The authors would like to acknowledge financial support by the National Science Foundation (NSF CBET 0967598, DBI IDBR 1353918) and the U.S. Department of Education's Graduate Training in Emerging Areas of Precision and Personalized Medicine (P200A150131) for funding graduate student J.J.S. on fellowship.
150-mm diameter petri dishes | VWR | 25384-326 | step 6.1.1 to secure wafer |
24-well tissue culture plates | VWR | 10062-896 | step 10.3.6 to plate electroporated cells |
33220A Waveform/Function generator | Agilent | step 9.2.3 electroporation pulse generator | |
4'' Si-wafers | University Wafer | subsection 2.1 for microfluidic channel fabrication | |
6-well tissue culture plates | VWR | 10062-892 | step 8.1.8 to plate cells |
Acetone | Fisher Scientific | A18-4 | step 2.1.2 for cleaning and step 5.1 photoresist lift-off |
Allegra X-22R Centrifuge | Beckman Coulter | steps 8.1.4 , 8.3.2. and 8.3.3. to spin down cells | |
AutoCAD 2018 | Autodesk | subsection 1.1. to design transparency masks | |
Buffered oxide etchant 10:1 | VWR | 901621-1L | subsection 3.1 for HF etching |
CCD Monochrome microscope camera | Hamamatsu | Orca 285 C4742-96-12G04 | step 11.2.3. for imaging |
CMOS camera- Sensicam QE 1.4MP | PCO | subsection 9.3 part of the experimental setup | |
Conductive Epoxy | CircuitWorks | CW2400 | subsection 7.6. for wire attachement |
Conical Centrifuge Tubes, 15 mL | Fisher Scientific | 14-959-70C | step 8.1.4. for cell centrifuging |
Dektak 3ST Surface Profilometer | Veeco (Sloan/Dektak) | step 2.1.15 and 5.4 for surface profilometry | |
Disposable biopsy punch, 0.75 mm | Robbins Instruments | RBP075 | step 6.2.3 for inlet access |
Disposable biopsy punch, 3 mm | Robbins Instruments | RBP30P | step 6.2.3 for outlet access |
DRAQ5 | abcam | ab108410 | step 11.2.2. for live cell staining |
Dulbecco’s Modified Eagle’s Medium | ThermoFisher Scientific | 11885084 | step 8.1.2. part of media composition |
E3631A Bipolar Triple DC power supply | Agilent | step 9.2.1.-9.2.2.part of the experimental setup | |
Eclipse TE2000-U Inverted Microscope | Nikon | subsection 9.3. part of the experimental setup | |
EVG620 UV Lithography System | EVG | step 2.1.9. and 2.2.7. for UV Exposure | |
Fetal Bovine Serum | Neuromics | FBS001 | step 8.1.2. part of media composition |
FS20 Ultrasonic Cleaner | Fisher Scientific | subsection 5.1. for photoresist lift-off | |
Glass Media Bottle with Cap, 100mL | Fisher Scientific | FB800100 | step 8.2.1. for buffer storage |
Glass Media Bottle with Cap, 500mL | Fisher Scientific | FB800500 | step 8.1.2.for media storage |
HEK-293 cell line | ATCC | CRL-1573 | subsection 8.1 for cell culturing |
HEPES buffer solution | Sigma Aldrich | 83264-100ML-F | step 8.2.1 part of electroporation buffer composition |
Hexamethyldisilazane | Sigma Aldrich | 379212-25ML | step 2.2.3 adhesion promoter |
HF2LI Lock-in Amplifier | Zurich Instruments | subsection 9.2 part of the experimental setup | |
HF2TA Current amplifier | Zurich Instruments | subsection 9.2 part of the experimental setup | |
Isopropyl Alcohol | Fisher Scientific | A459-1 | step 2.1.2 for cleaning, step 2.1.14 for rinsing wafer following SU-8 development, and step 6.3.1 for cleaning PDMS |
IX81 fluorescence microscope | Olympus | step 11.2.3 for imaging | |
L-Glutamine Solution | Sigma Aldrich | G7513-20ML | step 8.1.2. part of media composition |
M16878/1BFA 22 gauge wire | AWC | B22-1 | subsection 7.5 for device fabrication |
Magnesium chloride | Sigma Aldrich | 208337-100G | step 8.1.2 part of electroporation buffer composition |
MF 319 Developer | Kayaku Advanced Materials | 10018042 | step 2.2.9. photoresist developer |
Microposit S1818 photoresist | Kayaku Advanced Materials | 1136925 | step 2.2.4 positive photoresist for electrode patterning |
Microscope slides, 75 x 25 mm | VWR | 16004-422 | step 2.2.1 electrode soda lime glass substrate |
Model 2350 High voltage amplifier | TEGAM | 2350 | step 9.2.5. part of the experimental setup |
National Instruments LabVIEW | National Instruments | data acquisition | |
Needle, 30G x 1 in | BD Scientific | 305128 | step 10.1.1. part of the system priming |
PA90 IC OPAMP Power circuit | Digi-key | 598-1330-ND | Part of the custom circuit |
Penicillin-Streptomycin | Sigma Aldrich | P4458-20ML | step 8.1.2. part of media composition |
Plasmid pMAX-GFP | Lonza | VCA-1003 | step 8.3.4. for intracellular delivery |
Plastic tubing, 0.010'' x 0.030" | VWR | 89404-300 | step 10.1.2. for system priming |
Platinum targets | Kurt J. Lesker | subsection 4.2. for physical vapor deposition | |
Potassium chloride | Sigma Aldrich | P9333-500G | step 8.2.1. part of electroporation buffer composition |
Pump 11 PicoPlus microfluidic syringe pump | Harvard Apparatus | MA1 70-2213 | step 10.1.4. for system priming |
PVD75 Physical vapor deposition system | Kurt J. Lesker | subsection 4.1. for physical vapor deposition | |
PWM32 Spinner System | Headway Research | steps 2.1.6 and 2.2.2. for substrate coating with photoresist | |
PX-250 Plasma treatment system | March Instruments | subsection 7.2 for PDMS and glass substrate bonding | |
SDG1025 Function/Waveform generator | Siglent | step 9.2.2. part of the experimental setup | |
Sodium hydroxide | Sigma Aldrich | S8045-500G | step 8.2.1. part of electroporation buffer composition |
SU-8 2010 negative photoresist | Kayaku Advanced Materials | Y111053 | step 2.1.7. for microfluidic channel patterning |
SU-8 developer | Microchem | Y010200 | step 2.1.12. for photoresist developing |
Sucrose | Sigma Aldrich | S7903-1KG | step 8.2.1. part of electroporation buffer composition |
Sylgard 184 elastomer kit | Dow Corning | 3097358-1004 | step 6.2.1 10 : 1 mixture of PDMS polymer and hardening agent |
Syringe, 1 ml | BD Scientific | 309628 | step 8.3.4. part of system priming |
SZ61 Stereomicroscope System | Olympus | subsection 7.3. for channel and electrode alignment | |
Tissue Culture Treated T25 Flasks | Falcon | 353108 | step 8.1.2 for cell culturing |
Titanium targets | Kurt J. Lesker | subsection 4.2. for physical vapor deposition | |
Transparency masks | CAD/ART Services | steps 2.1.9. and 2.2.7. for photolithography | |
Trichloro(1H,1H,2H,2H-perfluorooctyl)silane | Sigma Aldrich | 448931-10G | step 6.1.2. for wafer silanization |
Trypsin-EDTA solution | Sigma Aldrich | T4049-100ML | steps 8.1.3. and 8.3.1. for cell harvesting |