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The methods for GUVs production can be divided into two main groups: methods based on swelling from substrates through hydration and those based on assembly from fluid interfaces. Methods from the first group are very efficient in providing large GUV populations for biophysical characterizations of lipid membranes or transmembrane proteins. In contrast, methods like droplet transfer are primarily chosen for cargo encapsulation because of the reduced consumption of cargoes and higher encapsulation efficiency18.
For this reason, a plethora of different cargoes have been encapsulated in GUVs, making the droplet transfer a reference process for artificial cells3,8,9,10 and a possible solution for building novel biomimetic microrobots11,12. To modulate GUV membranes' physicochemical properties, different molecules can be included, such as ionic phospholipids10, fatty acids19, polymers like PEG20, or cholesterol21 (although hydrophobic molecules like cholesterol have a high affinity for oil, resulting in a lower control of membrane composition with respect to swelling methods22). The protocol is versatile enough to allow these modifications, but some steps have a higher impact than others.
To discuss the criticalities of the method, we described here a protocol for the preparation of two different GUV populations: one preparation of GUVs containing a sucrose solution and one preparation of GUVs encapsulating microparticles. The differences in the protocol are detailed in Table 1 as condition E (empty) and condition P (with particles). This method allows the formation of GUVs by transferring water droplets from an oil phase into a water phase in a bistable process driven by phospholipids23 and influenced by the physicochemical properties of all the three phases involved: IS, OS, and LS.
Among the three, LS is the most sensitive because of the susceptibility of phospholipids to light, oxidation, and hydrolysis24,25,26. For this reason, the initial step of evaporating the organic solvent used for long-term storage of phospholipids at -20°C (typically chloroform or methanol) must be performed in amber vials under nitrogen or argon flow. If low humidity levels are not ensured in the laboratory environment, phospholipids could be damaged13, 14, 27. Therefore, LS should be prepared in a confined environment such as a glove box or the cost-effective modified glove chamber described in this protocol. Once the oil is added to the lipid film, the LS can be removed from the glove chamber, and the complete dissolution of phospholipids is carried out by vortexing and heating the solution.
Although some protocols include sonication at this step13, localized increases in temperature may lead to yet undescribed damages for some LS formulations. For this reason, heating the solution in a water bath may provide a better-controlled and homogeneous process. To further reduce the chances of damaging the LS, this protocol suggests the use of two different temperatures: since the dissolution of a newly prepared LS requires higher energy than a previously dissolved LS (due to a denser packing of phospholipid molecules in the film spread on the surface of the glass vial), 80 °C is adopted for the first lipid film dissolution and 50 °C to simply redissolve phospholipids right before their use. Because an increase in performance variability over time is generally observed for 3.18 mM DOPC in mineral oil (Figure 4C), using LS within a week is a generally recommended practice. Nonetheless, some combinations of oil and phospholipids may have extended lifetimes, and the use of a glove chamber seems to also improve the stability of LS over time.
Customizing GUV membranes with specific combinations of phospholipids may require tailored implementations of the protocol. To navigate among all the possible variations, guidance can be gained from the physicochemical properties of the LS. The critical micellar concentrations (CMC) and the diffusivity of phospholipids in LS are influenced by the chemical interactions with the molecules in solution28. The formation of water droplets in the IS/LS emulsion is therefore influenced by how fast phospholipids can diffuse in the oil phase and reach water/oil interfaces to form a stable monolayer (the inner leaflet of the membrane). Differences in diffusivity were observed for the two oils exploited in this protocol, with silicone oil AR20 providing a higher stability of IS/LS emulsion (Figure 6). Because the most stable emulsion for both oils was observed when water was dispersed at a 2.5% ratio (consistently with previous observations in mineral oil13), we fixed this as a generally valid ratio.
Nonetheless, as higher ratios could provide useful features (e.g., POPC in mineral oil showed a shift towards bigger GUVs13), we recommend running a preliminary qualitative test like the one reported in Figure 6 to have insights into the emulsion's stability and, hence, the expected efficiency of encapsulation. Here, we advise the readers not to rely on precise timing or iterations of procedures for the formation of the emulsion because the efficacy strictly depends on the operator or the adopted instrument. We instead provide a checkpoint to help the operator understand when the quality of the emulsion is good enough to -- at least theoretically -- maximize the chances of converting droplets into GUVs. The diffusivity of phospholipids in oil also influences their ability to rearrange during the droplet transfer and form the outer leaflet of the GUV membrane2,7,18,29. This step is favored by a proper equilibration of the LS/OS interface. While the incubation time adopted by this protocol is in line with general recommendations18, with interfacial tension measurements from previous reports7 and our preliminary experiments, GUVs prepared with different LS may benefit from longer incubation time.
The formation of the outer leaflet is also influenced by the speed of water droplets crossing the LS/OS interface, a step connected to the density and viscosity of the three phases30. The density differences must always follow the order: IS > OS > LS. This is essential to allow first the sedimentation of IS droplets towards the LS/OS interface, then the crossing of the interface for conversion into GUVs and their sedimentation towards the bottom of the tube. Although the process can occur spontaneously even when deionized water is used as both IS and OS23, a difference in density between IS and OS was introduced to favor GUV formation31. The most common pair for this purpose is sucrose in the IS and glucose in the OS: at equiosmolar concentrations required to prevent damage to the forming GUVs due to osmotic stress, sucrose provides a denser solution than glucose. Because the difference in density increases with the osmolarity of these solutions, the yield of GUVs varies accordingly, with no further improvement observed beyond 600 mOsm13.
Optimal centrifugation conditions are tightly linked to the density and viscosity of the three phases and phospholipids' diffusivity. In the absence of a complete characterization of the three phases, multiple conditions must be screened. From qualitative tests (Figure 4E and Figure 5) and preliminary systematic analysis17, it was possible to define good centrifugation conditions for the two samples described in this protocol; yet, the quality of the samples is open to improvement if more conditions are screened. When the balance between phospholipid diffusivity in the LS, and the density and viscosity of the three phases is not properly maintained, phospholipids lack sufficient time to equilibrate at the LS/OS interface and to rearrange correctly as water droplets move towards the OS. This often leads to the formation of a whitish precipitate at or just below the interface, likely consisting of phospholipids and other oil-phase molecules dragged by droplets failing to assemble into GUVs during the centrifugation.
The encapsulation of a homogeneous solution can be driven by increasing the IS density while preserving an osmotic balance with the OS (like for the sucrose-glucose pair), but the encapsulation of a microparticles dispersion requires the density of the aqueous phase to match that of microparticles32. The efficiency of cargo encapsulation is also affected by the chemical composition of the cargo solution/dispersion. Previous reports showed a negative effect on GUV yield caused by many alkali metal halides33 or pH variations13, most likely because of interactions or shifts in the net charge of zwitterionic hydrophilic heads of phospholipids. Therefore, encapsulating biological reactions (such as enzymatic or cell-free protein synthesis) often requires a compromise, as pH and salt concentrations (such as KCl or NaCl) must be adjusted to levels that are suboptimal for the reaction itself. Nonetheless, even complex reaction mixtures such as cell-free protein synthesis can be modified to provide functional GUV-based artificial cells34.
From a practical point of view, although the droplet transfer method offers a very straightforward process, the recovery of GUVs from the OS can pose some limitations. To help remove the oil from the upper phase after the centrifugation step, it is possible to exploit two pipette tips for a finer removal (protocol step 3.1.1) or a Buchner flask for faster removal when multiple samples are prepared (protocol step 3.1.2). Nonetheless, since the oil is not completely removed, it is necessary to perform a washing step to obtain a clean GUV dispersion (protocol step 3.2). Although washing steps resulted in the effective removal of residual oil droplets with no appreciable loss of GUVs (Figure 4A,B), this passage may be less straightforward with highly viscous oil, and it can be very time-consuming when multiple GUV formulations are being prepared. An alternative method was described to bypass the oil removal and recover the GUV from the bottom of the tube through a hole pierced with the help of a needle35. This process, however, may not allow a full recovery of the GUV pellet if the tube is not pierced in the proper position and, moreover, it is potentially harmful to the operator.
To help the GUV recovery, we introduce here a new and simple approach to quickly remove the oil phase. This is based on trapping the upper, less dense oil phase in a capped pipette tip so that, after the centrifugation, the tip can be removed in such a way that no fluid drips. This simple strategy allows for a fast and easy removal of the whole oil phase at once, consistently simplifying this time-consuming step.
To evaluate the efficiency of the protocol, a few methods have been implemented for the automatic detection of GUVs to speed up counting and size distribution analysis. Labeling GUVs with fluorescent probes provides a simple and effective strategy applied to both flow cytometry36,37 and microscope imaging combined with circle detection algorithms13,37,38,39. More recently, AI-based tools for object detection are being explored to improve this process40,41. However, fluorescent dyes can potentially affect GUV properties, thus introducing artifacts in the analysis. If excluding detectable fluorescent signal, microscopy remains the most reliable option, with phase-contrast microscopy being the preferred method for optimal visualization18 and application of circle detection algorithms38.
Alternatively, it is possible to exploit peculiar properties of specific formulations for unique detection strategies. Hadorn et al., for example, leveraged the presence of electrolytes in IS to detect GUVs with an impedance-based cell counter33. When none of these automated or formulation-specific methods are feasible, manual circle annotation remains a universally applicable fallback. In such cases, ImageJ offers a practical tool to speed up the process and easily extract raw diameter measurements as described in this protocol.
Despite the wide adoption of the droplet transfer method, little attention is dedicated to the optimization processes required for novel GUV formulations. In this work, we gathered the information available from the literature to implement a systematic protocol to steer and simplify this optimization. This practical guide considers the underlying principles involved in the production of novel GUV formulations and in the recovery of a minimally oil-contaminated sample, an often overlooked aspect of the protocol13,14. While predicting the optimization that any GUV formulation requires is not possible, this guide provides useful tips and insights to speed up the implementation of novel GUVs, potentially leading to applications including artificial cells and microrobots.