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# Quantification of Aquaporin-Z reconstituted into vesicles for biomimetic membrane fabrication

## Abstract

Aquaporin incorporated biomimetic membranes are anticipated to offer unprecedented desalination capabilities. However, the lack of accurate methods to quantify the reconstituted aquaporin presents a huge hurdle in investigating aquaporin performance and optimizing membrane fabrication. Herein, we present three quantification methods to determine the Aquaporin-Z reconstituted into E. coli lipid vesicles: 1) nanogold labeling with transmission electron microscopy (TEM) visualization, 2) nickel labeling with inductively coupled plasma-mass spectrometry (ICP-MS) and 3) gel electrophoresis. The TEM method serves as a quick way to determine if aquaporin has been reconstituted, but is not quantitative. The numerical results from quantitative methods, ICP-MS and gel electrophoresis, correlate closely, showing that 60 ± 20% vs 66 ± 4% of Aquaporin-Z added is successfully reconstituted into vesicles respectively. These methods allow more accurate determination of Aquaporin-Z reconstituted and loss during reconstitution, with relatively commonly available equipment and without complex sample handling, or lengthy data analysis. These would allow them to be widely applicable to scientific studies of protein function in the biomimetic environment and engineering studies on biomimetic membrane fabrication.

## Introduction

Reverse osmosis is the leading technology in water desalination. The burgeoning need for water has fueled the search for higher performance membrane that can reduce the energy consumption and cost of reverse osmosis process1. Aquaporin (Aqp) water channel proteins provide passage to more than three billion water molecules per second per molecule while maintaining rejection to other solutes in cell membranes2, 3. It is anticipated that Aqp-reconstituted biomimetic membrane has the greatest potential for performance enhancement but yet furthest from commercial viability4, 5. While many fabrication strategies and lab scale testing has been presented over the years, few fundamental studies have been done in this area and most works remain rudimentary6,7,8,9,10,11,12,13,14,15,16,17,18.

Aqp is the main component that distinguishes a biomimetic membrane from a conventional membrane, yet the actual amount of Aqp reconstituted is often neglected due to the lack of quantification methods. This hinders systematic understanding of the intricate works of the biomimetic membrane, which is vital for scientific exploration and membrane performance optimization. Theoretically, a larger number of Aqp incorporated into vesicles or membrane should result in improved membrane performance. However, several studies have reported that increasing protein to lipid reconstitution ratio beyond a critical point led to deteriorated vesicle permeability instead8, 12, 13, 15, 18. Unexpectedly, there are also reports of poorer membrane performance with immobilization of vesicles of greater permeability10, 12. Nonetheless, the root cause of such phenomenon cannot be pinpointed without proper quantification methods.

Currently, stopped-flow light scattering (SFLS) serves as a standard method to evaluate Aqp reconstitution19. SFLS works as a functional assay, whereby protein incorporated vesicles are mixed rapidly with a solution of high osmolarity, which results in water efflux from vesicles. During the course, the rate of shrinkage of vesicles is measured to determine vesicle permeability. However, this method is an indirect representation of Aqp reconstitution since permeability can also be affected by a plethora of other factors such as vesicle quality, incorporation matrix, Aqp conformation and orientation in the bilayer. Furthermore, the stopped-flow assay is vulnerable to large signal to noise ratio for a sample of poor quality19, 20. There are several challenges in developing accurate quantification methods, including interferences from incorporation matrix or non-reconstituted Aqp. Additionally, the quantification method should also satisfy numerous criteria for it to be practical and useful. These include requiring small sample consumption, using relatively commonly available equipment and involving no complicated sample handling or data processing processes.

There has been an attempt to answer the need for quantification of Aqp reconstituted by the Danish company Aquaporin A/S19. They have presented several quantification methods including freeze-fracture transmission electron microscopy (FF-TEM), fluorescence correlation spectroscopy (FCS) and small-angle X-ray scattering (SAXS)19. However, FF-TEM can give ambiguous results for polymeric systems. Conversely, the latter two methods can provide detailed information but require access to large-scale facilities and knowledge in modelling and fitting for data progressing.

In this paper, we introduce three accurate and quantitative methods to determine the Aquaporin-Z (AqpZ) successfully reconstituted into Escherichia coli (E. coli) lipid vesicles. In order to enable accurate quantification, it is important to remove interferences by separating the non-reconstituted AqpZ from the vesicles prior to further analysis. This is achieved through ultracentrifugation of samples such that the reconstituted AqpZ was pelleted down along with vesicles while non-reconstituted AqpZ remained in the supernatant (Fig. 1). These three different fractions obtained, supernatant (S), wash (W) and pellet (P), are then subjected to further analysis using the three quantification methods which would be discussed in the following section.

We aim to present quantification methods that can be performed with relatively commonly available equipment, without complicated sample handling or data processing. The three methods are namely: (1) nanogold labeling and transmission electron microscope (TEM) visualization, (2) nickel labeling and inductively coupled plasma-mass spectroscopy (ICP-MS) quantification and (3) gel electrophoresis. The advantages and disadvantages of each method will be further discussed. Based on the accuracy required and equipment availability, a suitable quantification method can be selected for the application. Conversely, these methods can also be applied in parallel for verification of results and harnessing more information.

## Results and Discussion

### Stopped-flow light scattering permeability test

AqpZ-incorporated E. coli lipid vesicles were employed to demonstrate the viability of the three proposed protein quantification methods in this work. Control vesicles were prepared by adding a buffer without AqpZ during reconstitution. The effectiveness of AqpZ reconstitution was first evaluated with conventional methods, SFLS permeability test and dynamic light scattering (DLS). Successful AqpZ incorporation is evident from the results of SFLS functional assay (Fig. 2 and Table 1), which shows a marked increase in vesicle permeability from 24 µm/s to 800 µm/s with AqpZ addition. DLS results in Table 1 also show that vesicles of around 170 nm in diameter were formed for both control and AqpZ incorporated vesicles. However, it is also clear from the results that SFLS method is only able to provide information about vesicle permeability, but not further information on number and distribution of Aqp reconstituted in vesicles.

A critical evaluation of Aqp performance or reconstitution methods and materials can only be conducted with complete information on both actual Aqp incorporation and Pf, as shown for the calculation of Pa in equation (6). While the increase in Pf value does demonstrate the function of Aqp, it is only useful for comparison between control and Aqp reconstituted vesicles prepared under same experimental conditions. It is insufficient for understanding AqpZ performance or effectiveness of reconstitution under varying incorporating conditions. A fair assessment of AqpZ performance will require normalization of Pf values with vesicle dimensions and the actual number of AqpZ reconstituted in vesicles.

Other than the use for accurate evaluation of Aqp performance, actual Aqp reconstitution is also an essential information for engineering biomimetic desalination membranes. Vesicle immobilization is a preferred strategy for producing Aqp biomimetic desalination membrane19. Accordingly, immobilization of vesicles with highest Pf attainable has been the main pursuit of many work8, 12, 13, 18. There has been a wide range of vesicle size reported, ranging from a diameter of 80 to 200 nm, varying with method and material for reconstitution7, 10, 15,16,17. Notably, vesicles of larger size would likely be able to accommodate a greater number of AqpZ per vesicle and achieve a larger Pf value. Yet, vesicles of higher Pf may not necessarily result in better membrane performance as larger vesicle sizes would limit the number of vesicles that could be immobilized on the membrane20. In all, optimization of membrane performance would require information on vesicle dimensions and actual AqpZ reconstituted, on top of Pf.

### Validation of ultracentrifugation separation method

To quantify the incorporated protein in vesicles, it is vital to remove the non-reconstituted AqpZ from the vesicles prior to further analysis. The effectiveness of the ultracentrifugation separation method was validated through separation of bovine serum albumin (BSA) from E. coli vesicles. BSA was selected as the control protein due to its inability to be incorporated onto the vesicle membrane bilayer of E. coli vesicle. Due to the water-soluble nature of BSA, it should be distributed predominantly in the buffer, with a limited amount bound on surface of vesicles. As such, an effective separation method will allow the BSA doped into E. coli vesicle solution to be predominantly recovered in the supernatant. However, we would like to highlight the limitations of BSA as a control as it is not a membrane protein and may behave differently from AqpZ in its interaction with lipid membrane and separation under ultracentrifugation. The choice of BSA as a control is due to the lack of a better alternative protein which behaves similarly to AqpZ and yet gets incorporated into the bilayer.

BSA was doped in E. coli control vesicles at a lipid to protein weight ratio of 100 and mixed well at 750 rpm for 2 h. Ultracentrifugation was then performed twice to ensure complete separation of non-reconstituted BSA, including those that are just physically bound onto the vesicles. The procedure is as shown in Fig. 1, with the exception of having BSA in place of AqpZ. The three fractions collected were analyzed with gel electrophoresis. BSA can be identified from its band position corresponding to around 55 kDa and quantified by comparison against a calibration curve constructed from a series of a known amount of BSA.

The results shown in Fig. 3 demonstrate the effectiveness of separation of non-reconstituted BSA predominantly into the supernatant and wash fraction. There is a total of 4.00 µg of BSA loaded in the BSA doped E. coli vesicles, out of which, 2.98 µg was detected in the supernatant fraction and 0.65 µg was found in the wash fraction. After ultracentrifugation, a small amount of BSA that is beyond the quantification limit of our working curve can be observed in the pellet fraction (Fig. 3a). This could be attributed to BSA which is absorbed onto the vesicles and hence remains in the pellet fraction. Notably, the total mass of BSA recovered in three fractions sum up to 90.1% of the BSA doped initially, with the other 10% of BSA either lost during the ultracentrifugation process or remaining in the pellet fraction.

Since the ultracentrifugation procedure was shown to effectively separate non-reconstituted protein from vesicles, the same procedure was applied to AqpZ reconstituted vesicles and control vesicles (with and without nickel labeling). This procedure yielded three different fractions for each sample, supernatant (S), wash (W) and pellet (P), as shown in Fig. 1. The bulk of the non-reconstituted AqpZ will remain in supernatant from the first round of ultracentrifugation. Conversely, minute amount AqpZ which could be physically bound to the surface of vesicles can be separated via resuspension and a second round of ultracentrifugation in the wash fraction. The measured amount of pelleted AqpZ is likely to be the maximum amount of AqpZ that is functionally integrated into the membrane since the pellet may also contain non-functional integrated AqpZ that are aggregated, trapped or absorbed onto vesicles.

### Nanogold labeling and TEM visualization

TEM is commonly employed to confirm vesicle formation, yet it is difficult to distinguish reconstituted Aqp unambiguously from the collapsed polymer chains of vesicles under TEM19. We propose to enhance the information that can be gathered using TEM by labeling His-tagged AqpZ with Ni-NTA linked nanogold. These 5 nm spherical nanogold, with a distinct size and shape and high electronic conductivity, can be easily visualized under TEM to determine the success of AqpZ reconstitution on vesicles. This would allow information about the morphology of vesicle and distribution of AqpZ on vesicles to be obtained simultaneously. Nickel ions recognize and bind to histidine tag (His-tag) with high affinity, as its imidazole ring offers electron donor groups that coordinate with the metal ions21, 22. This interaction was leveraged to conduct the labeling. The on-grid labeling procedure was optimized to minimize non-specific binding and performed as described in the experimental section.

The TEM images show that control (without protein) does not have nanogold bound while those with AqpZ shows nanogold bound (Fig. 4). In this case, the TEM images show 2 to 3 nanogold bound on each vesicle. This method serves as a convenient method for quick visualization of Aqp reconstituted into vesicles. The labeling and TEM experiment only takes 2 h to complete. Furthermore, TEM visualization is a necessary characterization technique to determine vesicle formation. An additional step of nanogold labeling allows reconstitution information to also be obtained. This method is exceptionally useful for a quick screening of different materials for vesicle preparation and incorporation method. Nonetheless, it should be applied with the caution that the result does not hold statistical significance until larger effort and time is devoted to counting the number of nanogold on a huge population of vesicles.

The nanogold number observed could be an underestimation of the actual number of AqpZ reconstituted. Since the 5 nm nanogold is similar in size to AqpZ and can cause steric hindrance to reconstitution, labeling has to be performed after reconstitution step. As such, His-tags on AqpZ which are oriented towards the inner core of vesicles will be inaccessible for nanogold labeling and the actual amount of AqpZ incorporated can be underestimated. In addition, the large size of nanogold would hinder binding to His-tag in close proximity, which would be the case for His-tags on the same tetramer. Lastly, the vesicles may cluster together during TEM sample preparation, posing greater difficulties in distinguishing the nanogold on each different vesicle. Since we are unable to measure the channel function after labeling the AqpZ with nanogold, no comparison of channel activity with other methods or literature can be performed. The aforementioned reasons limit the value of TEM method for accurate quantification and led us to develop the next two approaches for more quantitative measurements.

### Nickel labeling and ICP-MS quantification

In order to circumvent the limitation of nanogold labeling method, we propose to label AqpZ with nickel (II) ions, which are of picometre size and are significantly smaller compared to AqpZ23. This allows labeling to be performed before reconstitution without affecting the incorporation and AqpZ function. Based on two-tailed t-test, there is an insignificant difference in the diameter between ECZ and ECZNi (P > 0.05) and between their ECC and ECCNi (P > 0.05). Similarly, t-test shows an insignificant difference in Pf between ECZ and ECZNi (P > 0.05) and between their ECC and ECCNi (P > 0.05).

#### Determination of binding molar ratio between nickel and His-tag

Nickel labeled AqpZ reconstituted can easily be quantified by measuring the nickel concentration, as long as the binding stoichiometric relation between nickel and His-tagged Aqp can be determined21. As such, verification of the binding ratio between nickel and His-tag is crucial for this method. For that, AqpZ and control buffer were labeled with nickel chloride solution in large excess and unbound nickel was removed by a desalting column and dialysis. The samples were then subjected to microwave digestion and ICP-MS. The protocol was optimized such that it allowed complete removal of nickel from the control buffer without AqpZ. Briefly, the nickel labeling amount, method of nickel removal, MWCO of dialysis cassette were investigated. Eventually, the dialysis buffer was collected for analysis to check that nickel concentration is reduced to a negligible amount in dialysis buffer after three buffer replacements. (Please refer to the supporting information for data on optimization.)

ICP-MS is a highly sensitive technique to investigate trace metal concentration in samples24. This makes ICP-MS a suitable method to detect the nickel concentration in our samples. The results from nickel labeled AqpZ are presented in Fig. 5. The calibration curve shows that the nickel measurement is done within the linear range of readings. Based on the measured nickel concentration and the concentration of AqpZ determined using RCDC (reducing agent and detergent compatible) assay (Bio-Rad), the binding molar ratio between histidine and nickel is 1.8. This result is consistent with other published work that pH above 5 favors the behavior of His-tag as a tridentate ligand that coordinates with nickel ions in an octahedral geometry, giving rise to bis-histidine-nickel complex21. The dissociation constant for the interaction between His-tag and Ni2+ was reported to be around 10−6 M at neutral pH, showing the high stability of this interaction25. With a known binding ratio, AqpZ amount per unit volume of vesicle sample can be calculated with the measurement of nickel concentration from incorporated AqpZ with nickel labeling.

#### Quantification of AqpZ based on nickel concentration

Next, this nickel labeled AqpZ or control buffer were reconstituted into E. coli lipid vesicles. A portion of each sample was subjected to ultracentrifugation before ICP-MS quantification analysis. Samples were broken down via microwave digestion before injecting into ICP-MS for quantification. The reconstitution and quantification procedure was performed three times. Results from the reconstitution of nickel labeled into E. coli lipid vesicles are summarized in Fig. 6.

#### Percentage of AqpZ successfully reconstituted

The percentage of AqpZ successfully reconstituted, with respect to total amount of AqpZ added, can be calculated using equation (1).

$$\% \,{\rm{AqpZ}}\,{\rm{reconstituted}}\,=\,\frac{{\rm{Reading}}\,{\rm{for}}\,{\rm{pellet}}}{{\rm{Reading}}\,{\rm{before}}\,{\rm{dialysis}}}\times 100 \%$$
(1)

Percentage of AqpZ in pellet fraction indicates the proportion of added AqpZ which were successfully reconstituted into E. coli vesicles, the rest of AqpZ were either lost through the incorporation process or not reconstituted. Using our current method of incorporation, 60 ± 20% of the AqpZ added in the beginning was reconstituted successfully.

#### Identification of procedure undermining AqpZ reconstitution

Besides the percentage of AqpZ added that was successfully reconstituted, ICP-MS results can also be used to identify specific steps that lower incorporation. With that, specific conditions can be identified for optimization to improve reconstitution. The concentration of AqpZ at different stages of the reconstitution experiment can be monitored by collecting and measuring their nickel concentrations. In this work, the nickel concentration of samples collected at three different stages of the experiment, namely, before reconstitution dialysis, after reconstitution dialysis, and after ultracentrifugation was measured.

Each reading for AqpZ incorporated E. coli was corrected for the dilution effects of dialysis and deducting the reading of corresponding control samples before using for calculation. The resulting nickel concentration of AqpZ reconstituted E. coli vesicles at each stage of incorporation are tabulated in Table 2. It is evident that nickel concentration, which is directly proportional to AqpZ concentration, decreases after reconstitution dialysis and decreases even further after ultracentrifugation.

Since the dilution effect of dialysis has been accounted for, the remaining loss in nickel concentration can be attributed to AqpZ loss during the reconstitution and ultracentrifugation process. Using equations (2), (3) and (4), the percentage of AqpZ loss through dialysis and ultracentrifugation or AqpZ which are not lost in the reconstitution process but yet not reconstituted into vesicles, can be calculated from the corrected nickel concentration (Table 3). 20 ± 10% of AqpZ was lost during the dialysis process, this is significantly higher than the 3.4 ± 0.9% of AqpZ remaining not reconstituted in the solution. This means that AqpZ which are not lost are predominantly reconstituted successfully into the vesicles. This further indicates that the primary reason for reduced efficiency of this reconstitution method is the AqpZ loss during incorporation, such as due to adherence onto dialysis membrane or loss to external dialysis buffer due to defects in dialysis membrane, rather than the lack of capacity for vesicles to accommodate more AqpZ.

$$\% \,{\rm{AqpZ}}\,{\rm{loss}}\,(\mathrm{dialysis})\,=\,\frac{{\rm{Before}}\,{\rm{dialysis}}\,-\,{\rm{After}}\,{\rm{dialysis}}}{{\rm{Before}}\,{\rm{dialysis}}}\times 100 \%$$
(2)
$$\% \,{\rm{AqpZ}}\,{\rm{loss}}\,(\mathrm{ultracentrifugation})\,=\,\frac{{\rm{After}}\,{\rm{dialysis}}\,-\,({\rm{P}}+{\rm{W}}+{\rm{S}})}{{\rm{Before}}\,{\rm{dialysis}}}\times 100 \%$$
(3)
$$\% \,{\rm{AqpZ}}\,{\rm{not}}\,{\rm{reconstituted}}\,=\,\frac{{\rm{W}}\,+\,{\rm{S}}}{{\rm{Before}}\,{\rm{dialysis}}}\times 100 \%$$
(4)

#### Calculation of permeability per AqpZ monomer (Pa)

The combination of vesicle permeation measurement by SF, dimension test by DLS, and protein incorporation amount determination can be applied to investigate the performance of single protein. Since the lipid to protein weight ratio added is known to be 100, the actual amount of AqpZ reconstituted and the average AqpZ number per vesicle can be calculated. The permeability per AqpZ monomer (Pa) can be calculated from Pf and vesicle molecular weight using the method previously reported3, 26. At 100% incorporation, there would be an average of 52.7 tetramers per vesicle for a lipid to AqpZ weight ratio of 100. With the known actual percentage of incorporated AqpZ of 60 ± 20%, the average number of tetramer per vesicle is 32 ± 9. Coupled with stopped-flow data presented for nickel labeled samples previously, Pa was calculated to be 51 × 10−14 cm3/s/subunit. With 95% confidence, the average Pa is between 20 × 10−14 cm3/s/subunit to 80 × 10−14 cm3/s/subunit. As expected, the value determined is higher than those reported in the literature, whereby Pa was reported to be greater than 10 × 10−14 cm3/s/subunit3 and 32.4 × 10−14 cm3/s/subunit17, as the incorporation was assumed to be 100% for those experimental studies Conversely, a Pa value of 16 ± 5 cm3/s/subunit has been reported for molecular dynamics simulations done on AqpZ27. This shows the relevance of quantification methods in critical evaluation of AqpZ performance.

Nickel labeled AqpZ and ICP-MS is a highly accurate and sensitive quantification method to determine AqpZ reconstituted into vesicles. This is evident from its ability to detect the small percentage of AqpZ which is not reconstituted. The great sensitivity allows this quantification to be useful for both scientific studies on AqpZ interactions with the environment and optimization of biomimetic membrane fabrication. However, due to the additional steps involved in labeling AqpZ and measuring the nickel binding ratio prior to reconstitution, this method requires a longer duration of up to 2 weeks to complete. Additionally, the number of lipid vesicles was calculated assuming a negligible loss. Furthermore, nickel dissociating from AqpZ during sample handling and transfer cannot be verified for this method and may contribute to error in protein estimation.

### Gel electrophoresis

Unlike the previous two quantitation methods which rely on the detection of labels interacting with His-tag, gel electrophoresis is applied to measure protein amount by detecting a dye-stained protein band in the gel. Therefore, gel electrophoresis is able to provide a direct read out of protein amount rather than indirect information depending upon the label. During gel electrophoresis, incorporated AqpZ in vesicles is extracted by SDS detergent into gel sample loading buffer. The identity of AqpZ can then be determined by comparing its band position against a protein marker ladder and the corresponding amount can be further deduced by comparison with a BSA standard working curve.

The incorporation and quantification procedure was performed three times using unlabeled AqpZ and nickel labeled AqpZ. The representative gel result is shown in Fig. 7(a–c). As expected, only samples with AqpZ added for reconstitution shows a band which corresponds to the same position as AqpZ protein, at around 90 kDa. Since control samples do not have AqpZ added, the band at 90 kDa is absent for all control fractions. This confirms the identity of the band as a representation of AqpZ, which can be used to determine AqpZ amount in each sample.

#### Quantification of AqpZ based on AqpZ amount

To quantify the protein in different fractions, Coomassie blue staining method was applied using BSA as the standard, as previously reported28. A series of BSA standard, at various dilutions, was prepared to obtain a calibration curve within a linear range to quantify the AqpZ amount based on band densitometry (Fig. 7(d)). The Coomassie blue staining method is based on a quantitative binding of Coomassie blue dye (Coomassie brilliant blue G250) to proteins. AqpZ is known to maintain its tetrameric state on Coomassie blue stained gels but dissociates into monomers and dimers on SDS-PAGE gels29. Hence, Coomassie blue stained gel is selected for quantification of tetrameric AqpZ incorporated in this work. Theoretically, the amino acid composition and structural difference of different proteins vary the dye binding to the protein, and therefore the working curve of this method30. Therefore, we would like to highlight that BSA, a non-membrane protein, may exhibit a difference in staining by Coomassie blue as compared to AqpZ. This can contribute to error in protein estimation due to the working curve. Despite the inherent differences that limit the value of BSA as a control, it is difficult to find a better control protein. Since BSA has been adopted as a standard protein for AqpZ quantification in other work28, 31, BSA is selected as the standard in our work. Using the GelScan software for analysis, the amount of AqpZ in each fraction of the sample was obtained. The average result obtained from three independent reconstitution and quantification experiments are shown in Fig. 7(d). Although there is no need for AqpZ to be labeled with Ni ions, gel electrophoresis method was applied to ECZNi for a comparison with the ICP-MS method. It is observed that ECZNi has consistently higher reading than ECZ in the Coomassie blue staining method. This could be due to the presence of nickel in ECZNi compared to ECZ. Since Ni carries a positive charge, it can result in extra binding of the negatively charged dye to the sample, which is then evaluated as a larger amount of protein. Since the method is meant to be applied for non-labeled AqpZ, we will focus on the results obtained from ECZ in the following sections.

#### Percentage of AqpZ successfully reconstituted

The previous equations (1) to (4) used for evaluating AqpZ percentage reconstitution and loss can also be applied here, with the exception of using AqpZ amount reading instead of nickel concentration reading. Using equation (1), the percentage of AqpZ reconstituted with respect to the total amount of AqpZ added for incorporation is 66 ± 4%. This is comparable to the percentage of reconstituted AqpZ evaluated using the ICP-MS results, 60 ± 20%.

#### Identification of procedure undermining AqpZ reconstitution

In this case, there was no band at the 90 kDa position for both supernatant and wash fraction for AqpZ incorporated vesicle samples, showing that AqpZ is predominantly reconstituted. Similar to ICP-MS results, a large proportion of AqpZ appears to be lost through dialysis and ultracentrifugation processes.

Nonetheless, it should be noted that there could still be a minute amount of AqpZ which exist in the wash and supernatant fraction, but yet too low to be detected under gel electrophoresis. This can be cross verified with results from ICP-MS, which shows 3.4% of AqpZ are not lost during the incorporation process but yet not successfully reconstituted into vesicles. The method may also suffer from errors in protein estimation due to loss of lipid vesicles during sample handling and differences in the interaction of BSA and AqpZ with the Coomassie blue dye.

#### Calculation of permeability per AqpZ monomer (Pa)

Based on the successful incorporation of 66 ± 4% of AqpZ added, the number of AqpZ tetramer per vesicle is 35 ± 2 and Pa is 47 × 10−14 cm3/s/subunit. With 95% confidence interval, the average Pa is between 41 × 10−14 cm3/s/subunit to 51 × 10−14 cm3/s/subunit. Once again, this shows the applicability of the quantification results to determine Pa, for evaluation of AqpZ performance.

Gel electrophoresis is a quantitative method for determining AqpZ reconstituted into vesicles. While it is difficult to detect a small percentage of AqpZ which are not reconstituted as compared to ICP-MS method, it requires smaller sample consumption and a shorter duration to complete.

### Comparison of quantification methods

The three methods presented differ in terms of accuracy, sample consumption, duration, and equipment requirements. Nanogold labeling is a simple and quick method that requires the least amount of sample. However, the huge discrepancy between the number of AqpZ per vesicle determined by TEM method as compared to ICPMS and gel electrophoresis method also shows that TEM is not an accurate method to determine the number of AqpZ incorporated. The TEM method serves only as a quick check to determine if AqpZ has been reconstituted, but not the exact number. All three methods provide information about the success of reconstitution, however, further information, such as the exact number of tetramers per vesicles and percentage loss of AqpZ to reconstitution and ultracentrifugation can only be evaluated through the ICP-MS or gel electrophoresis method.

Nickel labeling and ICP-MS requires the longest time and greatest sample consumption due to the additional nickel labeling step and ICP-MS procedure. Nevertheless, it is the most sensitive method that is able to detect the small percentage of non-reconstituted AqpZ. Gel electrophoresis is a method that requires moderate time and sample amount as compared to the other two. Although the method is not sensitive towards a small percentage of non-reconstituted AqpZ, it is still able to provide a quantitative result that is comparable to that of ICP-MS. Inevitably, both methods are susceptible to systematic error arising from ultracentrifugation, loss during sample handling, transfer and labeling. As discussed previously, the measured amount of pelleted protein is likely to be the maximum amount of protein that is functionally integrated into the membrane since the pellet from ultracentrifugation may also contain non-functional integrated protein. In the case of Ni labeling, the nickel might dissociate from the His-tag during sample manipulation and ultracentrifugation. Although dissociation during dialysis is unlikely based on the low Ni concentration present in the used dialysis buffer (please refer to the supplementary data), we are unable to verify the dissociation and loss during ultracentrifugation. On the other hand, the choice of BSA as a standard and control protein may also result in protein estimation error due to the inherent difference between BSA and AqpZ and hence the interaction with Coomassie blue stain and separation performance under ultracentrifugation. Despite the limited value of BSA as a good control and standard protein, there is a lack of a better alternative. Nonetheless, these methods still allow the more accurate relationship to be drawn between water transport and AqpZ incorporation.

The three quantification methods as presented above offer common advantages over existing quantification methods by keeping sample handling and data processing to a minimal, while avoiding the need for uncommon equipment. This is to ensure that the quantification methods can be easily implemented in any setting to obtain information of actual Aqp reconstituted. The information obtained from the quantification methods allows a critical evaluation of vesicle performance when pieced together with SFLS results. The nanogold labeling method allows the distribution of AqpZ on vesicles to be easily observed without the ambiguity faced by the FF-TEM method. Compared to FCS and SAXS method, ICP-MS and gel electrophoresis offer a more direct read out of AqpZ reconstituted, rather than relying on the indirect observation of phenomena such as diffusion time and curvature of vesicles. This reduced dependence on uncommon equipment, modeling and fitting, so that these methods can be easily implemented. Importantly, the three methods can be applied as a stand-alone method or applied together for verification of results. The information harnessed from different methods can also be combined to gain a holistic analysis. As demonstrated previously, TEM provides the dimensions of vesicles for the accurate derivation of AqpZ per vesicle. On the other hand, the amount of AqpZ and percentage AqpZ reconstituted obtained from ICP-MS and gel electrophoresis can be compared for verification.

## Conclusions

Three different methods to determine AqpZ reconstitution into vesicles for fabrication of biomimetic membrane have been presented. With the current method of reconstitution, the percentage of AqpZ successfully reconstituted can be determined. It was shown that the results obtained using different methods are comparable and correlate well to vesicle permeability. Furthermore, the quantification methods also provide insights on the predominant cause of reduced reconstitution, allowing better optimization strategies to be designed. Most importantly, the methods offer several advantages, without the need for uncommon equipment, complex sample handling, and data analysis. It is anticipated that these methods can facilitate an accurate understanding of water transport in relation to the protein reconstitution and also optimization of conditions for vesicle preparation. These would enable the fabrication of biomimetic membranes with better and well-controlled performance.

## Materials and Methods

### Materials

E. coli lipid was purchased from Avanti Polar Lipids. Dialysis cassettes and zebra desalting columns were purchased from Thermo Fischer Scientific. 5 nm nickel-nitrilotriacetic acid (Ni-NTA) nanogold was purchased from Nanoprobes. Gel electrophoresis reagents and apparatus were purchased from Bio-Rad. All other chemicals and solvents were purchased from Sigma-Aldrich unless otherwise mentioned.

### Expression and purification of Aquaporin-Z

The modified pET plasmid containing DNA sequence encoding AqpZ with N-terminal 6× his affinity tag was transformed into E. coli strain BL21 Star (DE3) (Invitrogen, Carlsbad, CA). Cells from a single colony were inoculated in LB medium with 100 µg/ml ampicillin and grown overnight at 37 °C. The overnight cultures were diluted 100-fold into fresh LB medium and propagated to an A600 nm of 1.2–1.5. The culture was induced with 1 mM isopropyl b-D-1-thiogalactopyranoside and grown at 37 °C for 2 h before harvesting.

The cells of 1 L culture was harvest by centrifugation at 6000 rpm for 15 min and resuspended in 10 mL of lysis buffer containing 20 mM Tris–HCl (pH 8.0), 100 mM NaCl, 1 mM MgSO4, 1 mM phenylmethanesulfonyl fluoride and 0.1 mg/mL deoxyribonuclease I. Cell resuspension was subjected to sonication and the lysate was centrifuged at 10,000 g for 30 min to remove the insoluble material. The membrane fraction was recovered from the supernatant by centrifugation at 140, 000 g for 1 h.

For AqpZ extraction, the membrane fraction was resuspended in solubilization buffer (1% n-dodecyl-beta-maltoside (DDM) in a buffer containing 20 mM Tris–HCl (pH 8.0), 100 mM NaCl) and incubated overnight at 4 °C. Insoluble material was pelleted by 45 min centrifugation at 140, 000 g. The DDM solubilized AqpZ was bound to cobalt resin by gentle shaking at 4 °C for 2 h in the presence of 5 mM imidazole. The protein bound cobalt resin was washed with 10 column volumes of buffer containing 20 mM Tris–HCl (pH 8.0), 100 mM NaCl, 10 mM imidazole and 0.2% DDM. AqpZ was then eluted with washing buffer supplemented with 150 mM imidazole.

### E. coli vesicles preparation and AqpZ reconstitution

E. coli lipid vesicles were prepared using dialysis incorporation method according to a previously reported protocol3. Briefly, E. coli lipids were dissolved in chloroform and dried into a thin film under vacuum. The thin film was rehydrated in 0.1 M MOPS buffer, adjusted to pH 7.4 using 10 M sodium hydroxide. Lipid was mixed with AqpZ and 1.25% (wt/vol) of octyl glucoside (OG) detergent with buffer until homogeneous. Lipid to AqpZ weight ratio was kept at 100. The mixture was then transferred into a 10 kDa molecular weight cut-off dialysis cassette for dialysis against 0.1 M MOPS-Na buffer over three days. During the process, dialysis buffer was replaced with fresh buffer daily.

### Vesicle characterization

Vesicle size was measured via dynamic light scattering (Zetasizer Nano ZSP equipped with Helium-Neon laser beam at 633 nm, Malvern Instrument Ltd., Malvern, UK). Three measurements were made to obtain an average value for each reading.

Vesicle permeability was studied using stopped-flow apparatus spectrometer (Applied Photophysics, UK) method. Vesicle solution was quickly mixed with sucrose buffer at 0.6 osmol/L concentration. The high osmolarity of sucrose will result in water efflux from vesicles, which was recorded in the form of increasing light scattering signal. The initial gradient of the signal curve can be fitted to an exponential equation to represent the rate of change in vesicle shrinkage. The osmotic water permeability was then calculated using following equation (5).

$${{\rm{P}}}_{{\rm{f}}}=\frac{{\rm{k}}}{\frac{{{\rm{S}}}_{{\rm{A}}}}{{{\rm{V}}}_{{\rm{0}}}}}\times {{\rm{V}}}_{{\rm{w}}}\times {{\rm{\Delta }}}_{{\rm{osm}}}$$
(5)

where Pf is the osmotic water permeability (m/s), SA is the vesicle surface area (m2), V0 is the initial vesicle volume (m3), Vw is the partial molar volume of water (0.018 L/mol) and Δosm is the osmolarity difference that drives the vesicle shrinkage (osmol/L).

The permeability per AqpZ subunit (Pa) was determined using the method as described in another work3, using equation (6).

$${{\rm{P}}}_{{\rm{a}}}=\frac{{({\rm{P}}}_{{\rm{f}},{\rm{z}}}-{{\rm{P}}}_{{\rm{f}},{\rm{c}}})\times {\rm{S}}}{{\rm{m}}}$$
(6)

where Pf,z and Pf,c is the osmotic water permeability (m/s) of AqpZ incorporated and control vesicles respectively, S is the vesicle surface area (m2), and m is the number of AqpZ monomer subunit incorporated into vesicles.

The vesicle molecular weight was calculated using the following equation (7)26.

$${\rm{M}}=\frac{{4{\rm{\pi }}{\rm{{\rm N}}}}_{{\rm{A}}}}{{\rm{3v}}}({{\rm{3R}}}^{{\rm{2}}}{\rm{\delta }}-{\mathrm{3R}{\rm{\delta }}}^{{\rm{2}}}+{{\rm{\delta }}}^{{\rm{3}}})$$
(7)

The equation is based on interpolation of Zimm plot, an approximation of static light scattering from macromolecular solution whereby intermolecular interactions only occur through a single contact26. This assumption is valid for our vesicle samples in this case which are dilute macromolecular sample. In this equation, R is the vesicles radius, δ is the membrane thickness of the vesicles, NA is the Avogadro’s number and v is the specific volume of the vesicle. v is assumed to be 1 cm3/g, as reported previously3. The loss of lipid vesicles during the measurements was assumed to be negligible.

### Ultracentrifugation

Ultracentrifugation was applied to separate non-reconstituted AqpZ from AqpZ in vesicles. Vesicle samples were centrifuged at 250, 000 g for 2 hours at 4 °C with Optima MAX XP ultracentrifuge (Beckman Coulter Inc, USA). For the first round of ultracentrifugation, 500 µL of 10 mg/mL E. coli vesicle sample was loaded in each vial for ultracentrifugation. After which, resultant supernatant was collected and labeled as supernatant (S) fraction. The pellet was suspended in 200 µL of 0.1 M MOPS-Na buffer at pH 7.4. The solution was then subjected to a second round of ultracentrifugation. Following, the resultant supernatant was collected and labeled as wash (W) fraction while the pellet was suspended in 200 µL of 0.1 M MOPS-Na buffer at pH 7.4 and labeled as pellet (P) fraction. The S, W, P fractions collected were subjected to further analysis using TEM, gel electrophoresis, and ICP-MS. An equal amount of vesicles from each fraction was loaded for all analysis.

### Nanogold labeling

A drop of sample solution at 0.5 mg/mL of lipid was dropped on TEM grid, followed by nanogold solution at 10 times of the calculated amount of AqpZ by molar ratio. The solutions were incubated on the grid for 20 min and excess solution was wicked off with a filter paper. A drop of blocking buffer, 150 mM imidazole in 100 mM NaCl solution, was dropped on the grid and incubated for 2 min. The grid was washed with ultrapure water and stained with 1% phosphotungstic acid solution. Excess solution was wicked off and the grid was air dried thoroughly before TEM visualization.

### Transmission electron microscopy

The samples were observed using JEM-2100F Transmission electron microscope (JEOL, USA) at accelerating voltage of 200 kV.

### Preparation of nickel labeled AqpZ

AqpZ or control without AqpZ was incubated with nickel chloride labeling solution (0.16 M) at room temperature, 750 rpm shaking speed for 2 h. After labeling, unbound nickel was removed with Zeba spin desalting column (40 kDa molecular weight cut off), following with dialysis (2 kDa molecular weight cut-off) against 20 mM Tris-HCl buffer (pH 7.4) containing 100 mM NaCl with 0.2% DDM, at 200 times of sample volume over four days. During the process, dialysis buffer was replaced daily.

### Sodium dodecyl sulfate polyacrylamide (SDS-PAGE) gel electrophoresis

An aliquot of the samples was incubated for 0.5 h at room temperature in sample loading buffer containing 1% sodium dodecyl sulfate (SDS) and then analyzed by SDS-PAGE of 15% polyacrylamide gels with further staining by Coomassie brilliant blue G-250. The stained gels were scanned with G BOX gel doc system from Syngene and analyzed with the software of GeneTools to identify the protein size and amount.

### Inductively coupled plasma-mass spectrometry

The sample was firstly digested with Ethos One microwave digester (Milestone Inc, USA). Measurement of nickel concentration of digested sample was then made on Agilent 7700x ICP-MS system. The operating conditions are summarized in Table 4. In all experiments, the sample uptake was directed through Agilent integrated autosampler with a micro mist nebulizer. Calibration samples were prepared from dilution of Periodic table mix 1 for ICP purchased from Sigma Aldrich.

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## Acknowledgements

This work was financially supported by the Singapore National Research Foundation (NRF) under its Environment & Water Technologies Strategic Research Programme and administered by PUB, including EWI projects 1102-IRIS-13-01 and 1102-IRIS-13-03, and NUS numbers R706 0000 22279 and R706 0000 23279. The authors would like to thank Zhengjun Li, Jun Wei Lim, Huan Huan Tong, Jonathan Lee, Steffie Mano, Wei Jie Lim, Poh Geok Per, Chee Kin Chay and You Kang Lim for their help in this work.

## Author information

Authors

### Contributions

H.X.G. and H.Z. performed the research and analyzed the data. Y.W.T. and Q.L. supervised the research. H.X.G. and H.Z. wrote the original manuscript and all authors helped revised it. All authors have given approval to the final version of the manuscript.

### Corresponding authors

Correspondence to Qingsong Lin or Yen Wah Tong.

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### Competing Interests

The authors declare that they have no competing interests.

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Gan, H.X., Zhou, H., Lin, Q. et al. Quantification of Aquaporin-Z reconstituted into vesicles for biomimetic membrane fabrication. Sci Rep 7, 11565 (2017). https://doi.org/10.1038/s41598-017-11723-x

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