This protocol describes the formation of cell mimicking uni-lipid and multi-lipid vesicles, supported lipid bilayers, and suspended lipid bilayers. These in vitro models can be adapted to incorporate a variety of lipid types and can be used to investigate various molecule and macromolecule interactions.
Model cell membranes are a useful screening tool with applications ranging from early drug discovery to toxicity studies. The cell membrane is a crucial protective barrier for all cell types, separating the internal cellular components from the extracellular environment. These membranes are composed largely of a lipid bilayer, which contains outer hydrophilic head groups and inner hydrophobic tail groups, along with various proteins and cholesterol. The composition and structure of the lipids themselves play a crucial role in regulating biological function, including interactions between cells and the cellular microenvironment, which may contain pharmaceuticals, biological toxins, and environmental toxicants. In this study, methods to formulate uni-lipid and multi-lipid supported and suspended cell mimicking lipid bilayers are described. Previously, uni-lipid phosphatidylcholine (PC) lipid bilayers as well as multi-lipid placental trophoblast-inspired lipid bilayers were developed for use in understanding molecular interactions. Here, methods for achieving both types of bilayer models will be presented. For cell mimicking multi-lipid bilayers, the desired lipid composition is first determined via lipid extraction from primary cells or cell lines followed by liquid chromatography-mass spectrometry (LC-MS). Using this composition, lipid vesicles are fabricated using a thin-film hydration and extrusion method and their hydrodynamic diameter and zeta potential are characterized. Supported and suspended lipid bilayers can then be formed using quartz crystal microbalance with dissipation monitoring (QCM-D) and on a porous membrane for use in a parallel artificial membrane permeability assay (PAMPA), respectively. The representative results highlight the reproducibility and versatility of in vitro cell membrane lipid bilayer models. The methods presented can aid in rapid, facile assessment of the interaction mechanisms, such as permeation, adsorption, and embedment, of various molecules and macromolecules with a cell membrane, helping in the screening of drug candidates and prediction of potential cellular toxicity.
The cell membrane, composed primarily of phospholipids, cholesterol, and proteins, is a crucial component of all living cells1. With organization driven by lipid amphiphilicity, the cell membrane functions as a protective barrier and regulates how the cell interacts with its surrounding environment2. Several cellular processes are dependent on the lipid and protein composition of the membrane1,2. For example, cell membrane interactions are important for effective drug delivery3. Pharmaceuticals, biologics, nanomaterials, biological toxins, and environmental toxicants can impact the integrity of a cell membrane, thereby affecting cellular function4. The construction of in vitro cell mimicking membrane models based on the lipid composition of cell membranes has the potential to provide facile tools to greatly enhance the study of the potential impact of these materials on cells.
Model lipid bilayers include lipid vesicles, supported lipid bilayers, and suspended lipid bilayers. Supported lipid bilayers are a model of the phospholipid cell membrane commonly used in biotechnology applications where lipid vesicles are ruptured on a supported substrate material5,6,7,8,9. One common technique used to monitor bilayer formation is quartz crystal microbalance with dissipation monitoring (QCM-D), which examines the adsorption of vesicles in comparison to the bulk liquid properties in situ8,10,11,12,13,14. Previously, QCM-D has been used to demonstrate that under flow conditions, once a critical vesicle coverage of phosphatidylcholine (PC) lipid vesicles is achieved on the surface, they spontaneously rupture into rigid lipid bilayers15. Previous work has also investigated supported lipid bilayer formation with varying lipid compositions16, incorporation of lipid proteins17,18,19, and utilizing polymer cushions20, yielding supported lipid bilayers capable of mimicking various aspects of cell membrane function.
Lipid bilayers have been used to mimic various biological barriers from sub-cellular to organ levels including mitochondrion, red blood cell, and liver cell membranes by altering the phospholipid, cholesterol, and glycolipid components21. These more complex multi-lipid vesicles may require additional methods to achieve vesicle rupture, depending on the lipid composition. For example, previous studies have utilized an α-helical (AH) peptide derived from the hepatitis C virus's nonstructural protein 5A to induce bilayer formation by destabilizing the adsorbed lipid vesicles22,23. Using this AH peptide, supported lipid bilayers mimicking placental cells have previously been formed24. The great potential of supported lipid bilayers for biomedical applications has been demonstrated with investigations spanning molecular and nanoparticle transport25, 26, environmental toxicant interactions27, protein assembly and function17,18,19, peptide arrangement and insertion28, 29, drug screening30, and microfluidic platforms31.
Suspended lipid bilayers have been used for pharmaceutical screening studies via a parallel artificial membrane permeability assay (PAMPA) where a lipid bilayer is suspended across a porous hydrophobic insert32,33,34,35. PAMPA lipid models have been developed for different biological interfaces including the blood-brain, buccal, intestinal, and transdermal interfaces36. By combining both the supported lipid bilayer and PAMPA techniques, adsorption, permeability, and embedment of compounds within lipid components of a desired tissue or cell type can be thoroughly studied.
This protocol describes the fabrication and application of in vitro cell membrane lipid bilayer models to investigate several molecular interactions. Preparation of both uni-lipid and multi-lipid supported and suspended lipid bilayers is detailed. To form a supported lipid bilayer, lipid vesicles are first developed using thin-film hydration and extrusion methods followed by physicochemical characterization. Formation of a supported lipid bilayer using QCM-D monitoring and fabrication of suspended lipid membranes for use in PAMPA is discussed. Finally, multi-lipid vesicles for the development of more complex cell mimicking membranes are examined. Using both types of fabricated lipid membranes, this protocol demonstrates how this tool can be used to study molecular interactions. Overall, this technique constructs cell mimicking lipid bilayers with high reproducibility and versatility.
1. Developing uni-lipid vesicles
2. Characterizing lipid vesicles
3. Forming a uni-lipid supported lipid bilayer using QCM-D
4. Forming a suspended lipid bilayer
NOTE: The protocol for forming a suspended lipid bilayer is adapted from the parallel artificial membrane permeability assay (PAMPA) protocol provided by the filter plate manufacturer37.
5. Developing multi-lipid cell mimicking vesicles and bilayers
6. Molecule interaction studies with uni-lipid and multi-lipid bilayers
This protocol details methods for forming supported and suspended lipid bilayers (Figure 1). The first step to forming a supported lipid bilayer is to develop lipid vesicles. The mini extruder allows for small volumes of lipid vesicles to be prepared (1 mL or less), while the large extruder allows for 5-50 mL of lipid vesicles to be prepared in one batch. Size distributions of uni-lipid vesicles formed by either the mini or large extruder are shown in Figure 2A. As the large extruder uses high pressure N2 gas to push the vesicle solution through the polycarbonate membrane, lipid vesicles result in an average size distribution at the target 100 nm hydrodynamic diameter. The mini extruder also results in a uniform distribution, although the vesicle hydrodynamic diameter is slightly larger than the polycarbonate pore size, which is typical for this manual method of extrusion.
Figures 2B-D compare size, polydispersity, and zeta potential of uni-lipid egg PC vesicles and two multi-lipid vesicles composition. Table 1 compares the average hydrodynamic diameter of each lipid vesicle composition. The composition of the first multi-lipid vesicle (ML1) is representative of placental-trophoblast inspired lipid vesicles with a composition of 57:15:8:8:12 % (w/w) of PC: phosphatidylethanolamine (PE): phosphatidylinositol (PI): phosphatidylserine (PS): sphingomyelin (SPH). The size distribution of the egg PC vesicles and ML1 vesicles are highly uniform and nearly identical, with small differences in the average polydispersity (Figure 2A,B). As expected, due to differences in composition, the zeta potential of the egg PC uni-lipid vesicles and the ML1 vesicle were found to differ (Figure 2D). The second multi-lipid vesicle (ML2) is 60% egg PC and 40% 1,2-distearoyl-sn-glycero-3-ethylphosphocholine (EPC). The positive charge of EPC led to a positive zeta potential for these vesicles (Figure 2D), and an increase in polydispersity index of ML2 vesicles was also observed compared to egg PC or ML1 vesicles, likely a result of the specific composition of these vesicles.
QCM-D can be used to form supported lipid bilayers via vesicle rupture on a silica-coated sensor, and ΔF and ΔD during this process are monitored in real time. ΔF is inversely related to mass changes, and increased ΔD indicates increase in the structure fluidity. As vesicles adsorb to the sensor, ΔF decreases and ΔD increases. As the vesicle reach a critical vesicle coverage on the surface, there will be a plateau of the ΔF and ΔD. Finally, as the vesicles rupture, a ΔF increase and ΔD decrease is observed, due to release of encapsulated water from ruptured vesicles and formation of rigid bilayer, respectively. Figure 3 shows the ΔF and ΔD occurring as the vesicles adsorb and rupture on the surface for uni-lipid and multi-lipid bilayer formations. Uni-lipid egg PC vesicles readily adsorb to the surface as shown by the ΔF decrease and ΔD increase. Critical vesicle coverage is reached within 5 min, after which the vesicles begin to rupture. The overall ΔF observed upon supported egg PC bilayer formation is ~-25 Hz, with ΔD of ~0.
ML1 vesicles take longer to adsorb compared to egg PC vesicles and unlike these vesicles, they do not spontaneously rupture, but remain stable on the surface. Instead, an AH peptide is allowed to incubate with the adsorbed vesicles causing their rupture when the AH peptide is removed with a Tris NaCl rinse. During rupture and bilayer formation, the ΔF increase and ΔD decrease is observed, similar to the egg PC vesicles. The ΔF of this multi-lipid bilayer results in approximately -28 Hz and ΔD of approximately 1 × 10-6. Although comparable to the egg PC lipid bilayer, these slight differences in ΔF and ΔD likely indicate the increased fluidity of the bilayer due to the multiple lipid types present in the structure.
After bilayer formation, these structures can be used to study interactions with different compounds. With supported lipid bilayers, ΔF and ΔD can be analyzed before and after introduction of the compound. As an example, DEHP interaction with supported uni- and multi-lipid (ML1) bilayers are shown in Figure 4A,B. In this case, similar levels of DEHP adsorption are observed for both lipid bilayer types (Figure 4A). However, differences in ΔD were observed between the bilayers, with a larger ΔD seen for the egg PC bilayer compared to the ML1 bilayer (Figure 4B). While the supported lipid bilayer allows for the study of the adsorption and potential embedment of compounds of interest along with potential lipid removal, suspended lipid bilayers can provide information on the permeability across the bilayer using a PAMPA. In the case of DEHP, little permeation was observed for both uni- and ML1 bilayers (Figure 4C). Papp calculated for DEHP across a uni-lipid (~5.5 × 10-11 cm/s) and multi-lipid bilayer (~6.5 × 10-6 cm/s) was characteristic of low permeability. However, other compounds may result in greater permeability, which can be investigated using this technique.
Figure 1: Process of forming supported lipid bilayers (top) and suspended lipid bilayers (bottom). Please click here to view a larger version of this figure.
Figure 2: Uni-lipid and multi-lipid vesicle characterization. (A) Hydrodynamic diameter distribution of egg PC vesicles formed using a mini extruder and large extruder. (B) Hydrodynamic diameter distribution of uni-lipid vesicles containing egg PC and two multi-lipid formulations, ML1 (57:15:8:8:12 % (w/w) PC:PE:PI:PS:SPH) and ML2 (60:40 % (w/w) egg PC:EPC). (C) Polydispersity indices of the uni-lipid and multi-lipid vesicles. (D) Zeta potentials of the uni-lipid and multi-lipid vesicles. Results are shown as mean ± standard deviation. Statistical significance was calculated using one-way analysis of variance (ANOVA) with Tukey's post hoc analysis (α=0.05, p<0.05 was considered to be statistically significant, *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001). Please click here to view a larger version of this figure.
Figure 3: Uni-lipid egg PC bilayer formation (ΔF in light blue and ΔD in light red) and a multi-lipid bilayer formation (57:15:8:8:12 % (w/w) PC:PE:PI:PS:SPH) (ΔF in dark blue and ΔD in dark red) monitored over time using QCM-D. Dashed lines indicate solution changes for uni-lipid bilayer formation (light blue) and multi-lipid bilayer formation (dark blue). The egg PC bilayer is formed by ~15 min, while the multi-lipid bilayer takes ~45 min and requires addition of the AH peptide. Please click here to view a larger version of this figure.
Figure 4: Molecule interactions with supported and suspended lipid bilayers. (A) ΔF due to DEHP interaction with uni-lipid and multi-lipid (57:15:8:8:12 % (w/w) PC:PE:PI:PS:SPH) bilayers. (B) ΔD due to DEHP interaction with uni-lipid and multi-lipid bilayers. (C) Percent of DEHP permeated across the uni-lipid and multi-lipid suspended bilayers. Results are shown as mean ± standard deviation. Statistical significance was calculated using a student's t-test (α=0.05, p<0.05 was considered to be statistically significant, *p<0.05). Please click here to view a larger version of this figure.
Uni-lipid vs. multi-lipid | Composition | Extruder | Hydrodynamic diameter (nm) |
Uni-lipid | 100% egg PC | Mini | 165 ± 1 |
Uni-lipid | 100% egg PC | Large | 108 ± 2 |
Multi-lipid | 57:15:8:8:12 % (w/w) PC:PE:PI:PS:SPH | Large | 109 ± 1 |
Multi-lipid | 60:40 % (w/w) egg PC:EPC | Large | 91.0 ± 0.2 |
Table 1: Lipid vesicle hydrodynamic diameters.
This protocol allows for the formation of lipid vesicles, supported lipid bilayers, and suspended lipid bilayers. Here, critical steps are presented to form each of these structures. When forming lipid vesicles, it is important to extrude above the transition temperature of the lipid39. When below the transition temperature, the lipid is physically present in its ordered gel phase39. In this ordered phase the hydrocarbon lipid tails are fully extended allowing for close packing, making extrusion challenging39. When heated above the transition temperature, the lipid becomes more disordered resulting in the liquid crystalline phase39. The hydrocarbon tails of the lipid are more fluid at these temperatures, allowing for successful extrusion39. Lipid characteristics such as the head group composition, saturation, and charge will impact their transition temperature. It is also important to remove all chloroform when forming the lipid film, as residual chloroform will negatively affect vesicle formation and properties after rehydration.
During supported lipid bilayer formation using QCM-D it is crucial for the silica-coated quartz crystal sensor to be in pristine condition. The sensors may be re-used, but must be checked each time for any scratches, debris, or other wear and discarded if any imperfection is found, as sensor imperfections can affect vesicle adsorption and bilayer formation. The fundamental frequency of the piezoelectric quartz sensor is 5 MHz, with ΔF and ΔD monitored at odd overtones (3, 5, 7, 9, 11, and 13). Ensuring that the fundamental resonance frequencies for each overtone found prior to measurement are similar to the expected theoretical values can help identify a possible crystal issue. Collecting measurements from multiple overtones is important for viscoelastic modeling using the data obtained. It is also important to ensure that air is not introduced into the system during fluid flow through the QCM-D flow modules. Air will cause an air-liquid shift to occur which will be observed in the real-time data collection and result in loss of integrity of the lipid bilayer. To form multi-lipid supported lipid bilayers we have noted the use of an AH peptide to induce vesicle rupture. Depending on the lipid composition, other methods may be explored to induce vesicle rupture, such as varying ionic strength, temperature, and flow. For example, altering the buffer salt concentration has been used to achieve multi-lipid bilayers, such as those mimicking bacterial membranes that include PE and phosphatidylglycerol (PG) in the composition.40 During suspended lipid bilayer formation, it is important that lipids are chosen that are soluble in dodecane, such as DOPC38,39. Depending on the application and particularly for cell membrane mimicking bilayers, it may be advisable to perform comparison permeability studies between the suspended lipid bilayers and cell monolayers formed on porous inserts42,43,44.
There are many steps in this protocol that may be adapted or modified for a particular application. The lipids and the compositions used, concentration of the lipid vesicle suspension, volume of vesicles prepared, vesicle rehydration buffer, number of passes through the extruder, polycarbonate membrane pore size, quartz crystal substrate material, QCM-D flow rate, the molecular interactions studied, length of time for interaction, and temperature may all be adapted, making this a versatile approach. The extrusion processes detailed here can also be utilized to form therapeutic liposomes. For example, both the mini extruder and large extruder have been used to form antifungal liposomes that remain stable for at least 140 days at 4 °C in ultrapure water45. Other methods for vesicle or lipid bilayer formation and characterization may also be considered for comparison or additional verification. For example, sonication is another technique that is used to form lipid vesicles46, and techniques such as cryo-transmission electron microscopy may be used to confirm lamellarity15, 45. Atomic force microscopy47, surface plasmon resonance48, and neutron reflectivity49 can also be used in combination with QCM-D to study supported lipid bilayers50. Suspended lipid bilayers have also been formed in microfluidic devices30,51 in addition to using the filter and receiver well plates discussed in this protocol.
While the method described here can provide facile lipid bilayers that mimic cellular lipid composition, they only provide information about molecular interactions with these lipids. Proteins are also key components of the cell membrane and can influence adsorption, permeability, and active and passive transport properties. Thus, advancing these model lipid bilayers to incorporate proteins will result in additional cell mimicking properties, that can enhance the information obtained from these approaches. For example, a recent study incorporated proteins into supported lipid bilayers by using mesoporous silica substrates allowing for a tailored surface pore size to incorporate native transmembrane proteins52. Applications where these bilayers will be particularly important include toxicity testing and pharmaceutical screening studies24,27. Overall, the versatility and reproducibility of these cell mimicking models adds to their utility for a range of investigations.
The authors have nothing to disclose.
This material is based upon work supported by the National Science Foundation under Grant No. 1942418 awarded to A.S., and a National Science Foundation Graduate Research Fellowship awarded to C.M.B.H., under Grant No. 1644760. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors thank Dr. Noel Vera-González for lipid vesicle characterization data acquisition. The authors thank Professor Robert Hurt (Brown University) for the use of his Zetasizer. The authors thank the Brown University Mass Spectrometry Facility, in particular, Dr. Tun-Li Shen for assistance with quantifying lipid composition.
1-palmitoyl-2-oleoyl-glycero-3-phosphocholine (POPC, 16:0-18:1 PC) | Avanti Polar Lipids | 850457 | |
1-palmitoyl-2-oleoyl-sn-glycero-3-phospho-L-serine (sodium salt) (POPS, 16:0-18:1 PS) | Avanti Polar Lipids | 840034 | |
1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine (16:0-18:1 PE) | Avanti Polar Lipids | 850757 | |
1,2-dioleoyl-sn-glycero-2-phospho-L-serine (DOPS, 18:1 PS) | Avanti Polar Lipids | 840035 | |
1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC, 18:1 (Δ9-Cis) PC) | Avanti Polar Lipids | 850375 | |
1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE, 18:1 (Δ9-Cis) PE) | Avanti Polar Lipids | 850725 | |
1,2-distearoyl-sn-glycero-3-ethylphosphocholine (chloride salt) (18:0 EPC (Cl Salt)) | Avanti Polar Lipids | 890703 | |
3 mL Luer-Loc syringes | BD | 309657 | |
40 mL sample vial, amber with polytetrafluoroethylene (PTFE)/rubber liner | Duran Wheaton Kimble | W224605 | |
Acetonitrile | Sigma-Aldrich | 271004 | |
Alconox | Fisher Scientific | 50-821-781 | |
Ammonium formate | Millipore Sigma | LSAC70221 | |
C18, 3.5 um x 50 mm column, SunFire | Waters | 186002551 | |
Chloroform | Millipore Sigma | LSAC288306 | |
Cuvette UV Micro LCH 8.5 mm, 50 um, RPK | Sarstedt | 67.758.001 | |
Di(2-ethylhexyl) phthalate (DEHP) | Millipore Sigma | 36735 | |
Dimethyl sulfoxide (DMSO) | Millipore Sigma | LSAC472301 | |
Ethanol | Pharmco | 111000200 | |
Filter supports, 10 mm | Avanti Polar Lipids | 610014 | Size for mini extruder |
Folded capillary zeta cell | Malvern Panalytical | DTS1070 | |
Isopropanol | Sigma-Aldrich | 190764-4L | |
Kimwipes | Kimberly Clark | 34256 | |
L-α-phosphatidylinositol (soy) (Soy PI) | Avanti Polar Lipids | 840044 | |
L-α-phosphitidylcholine (Egg, Chicken) | Avanti Polar Lipids | 840051 | |
LiposoFast ® LF-50 | Avestin, Inc. | ||
Methanol | Sigma-Aldrich | 179337 – 4L | |
Mini-extruder set with holder/heating block | Avanti Polar Lipids | 610000 | |
MultiScreen-IP Filter Plate, 0.45 µm, clear, sterile | Millipore Sigma | MAIPS4510 | for PAMPA studies |
Nitrogen gas, ultrapure | TechAir | NI T5.0 | |
Nuclepore hydrophilic membranes, polycarbonate, 19 mm, 0.1 um | Whatman | 800309 | Size for mini extruder |
Nuclepore hydrophilic membranes, polycarbonate, 25 mm, 0.1 um | Whatman | 110605 | Size for large extruder |
Parafilm | Bemis | PM999 | |
Phosphate buffer saline (PBS), 10x | Genesee Scienfitic | 25-507X | Dilute to 1x |
Qsoft 401 software | Biolin Scientific | ||
Quartz Crystal Microbalance with Dissipation Q-Sense Analyzer | Biolin Scientific | ||
Scintillation vials, borosilicate glass vials, 20 mL | Duran Wheaton Kimble | 986561 | |
Silicon Dioxide, thin QSensors | Biolin Scientific | QSX 303 | |
Sodium chloride (NaCl) | Millipore Sigma | LSACS5886 | |
Sodium dodecyl sulfate (SDS) | Fisher Scientific | BP166-100 | |
Solvent Safe pipette tips | Sigma-Aldrich | S8064 | |
Sphingomyelin (Egg, Chicken) | Avanti Polar Lipids | 860061 | |
Trizma base | Millipore Sigma | LSACT1503 | |
Trypsin-ethylenediaminetretaacetic acid | Caisson Labs | TRL01-6X100ML | |
Whatman drain disc, 25 mm | Whatman | 230600 | Size for large extruder |
Zetasizer ZS90 | Malvern Panalytical | ||
Zetasizer 7.01 software | Malvern Panalytical |