Maik Hadorn1, Eva Boenzli, Peter Eggenberger Hotz. 1. Center for Fundamental Living Technology (FLinT), Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, Odense, Denmark. hadorn@ifk.sdu.dk
Abstract
Today, free-standing membranes, i.e. liposomes and vesicles, are used in a multitude of applications, e.g. as drug delivery devices and artificial cell models. Because current laboratory techniques do not allow handling of large sample sizes, systematic and quantitative studies on the impact of different effectors, e.g. electrolytes, are limited. In this work, we evaluated the Hofmeister effects of ten alkali metal halides on giant unilamellar vesicles made of palmitoyloleoylphosphatidylcholine for a large sample size by combining the highly parallel water-in-oil emulsion transfer vesicle preparation method with automatic haemocytometry. We found that this new quantitative screening method is highly reliable and consistent with previously reported results. Thus, this method may provide a significant methodological advance in analysis of effects on free-standing model membranes.
Today, free-standing membranes, i.e. liposomes and vesicles, are used in a multitude of applications, e.g. as drug delivery devices and artificial cell models. Because current laboratory techniques do not allow handling of large sample sizes, systematic and quantitative studies on the impact of different effectors, e.g. electrolytes, are limited. In this work, we evaluated the Hofmeister effects of ten alkali metal halides on giant unilamellar vesicles made of palmitoyloleoylphosphatidylcholine for a large sample size by combining the highly parallel water-in-oil emulsion transfer vesicle preparation method with automatic haemocytometry. We found that this new quantitative screening method is highly reliable and consistent with previously reported results. Thus, this method may provide a significant methodological advance in analysis of effects on free-standing model membranes.
In 1888 and 1890, Hofmeister described the ability of neutral salts to precipitate a given
protein by demonstrating that distinct salts have distinct effectiveness in stabilizing
protein suspensions12. Specific salt effects have since been attributed to a
broad range of phenomena of physicochemical, biological and environment significance3.According to the so-called Hofmeister, lyotropic or chaotropic series, anions are usually
ordered as follows: SO42−, HPO42−,
OH−, F−, HCOO−,
CH3COO−, Cl−, Br−,
NO3−, I−, SCN− and
ClO4−. There exists a broad consensus concerning anions by far
dominating cations in terms of Hofmeister effects4. Nevertheless, a Hofmeister
series was also reported for cations45678: Cs+,
NH4+, Rb+, K+, Na+,
Li+, Mg2+, Ca2+ and Ba2+. Anions
and cations on the left side of the two series were found to increase the solvent surface
tension and decrease the solubility of nonpolar molecules. These ions are known as kosmotropes
or salting-out ions. In contrast, anions and cations on the right hand side increase the
solubility of nonpolar molecules, weaken the hydrophobic effect and are known as chaotropes or
salting-in ions.Despite its ubiquity, a molecular-level understanding of the Hofmeister series is still
lacking. Ninham and Nostro recently summarised the current level of understanding of
Hofmeister effects9. Originally, it was believed that ions affect the physical
behaviour of aqueous macromolecular systems by making or breaking the water structure4. However, recent studies cast serious doubts on this notion. Neither was the
hydrogen-bonding network significantly changed by the presence of ions, nor were ions found to
have a long-range effect on bulk water structure. Evidences from work on protein/water and
lipid/water interfaces suggest that bulk water structure making and breaking are not
responsible for phenomena related to the Hofmeister series (for a recent review see Zhang and
Cremer3).Biophysical studies of salt effects on pure model bilayer systems (e.g. solid-supported
membranes, free-standing artificial vesicles) suggest that salts can fundamentally alter the
structure of phospholipid head groups1011121314151617 and that
both weakly hydrated chaotropic anions and strongly hydrated, kosmotropic cations are
attracted to the model membrane181920. In general, all observed effects are
ion-specific and a function of ion size, valency and polarizability21 (for a
recent review, see Kunz et al.22). Many studies concentrated on cations, mainly
focusing on the biological function and importance of biologically relevant
Na+, K+, Ca2+, and Mg2+1623242526272829303132. Anion effects on the structural
properties of lipid bilayers have been examined in a rather limited and nonsystematic way1733343536373839404142434445464748495051.
Current analytical techniques addressing anion and cation effects on model membranes are
demanding in technical requirements and are serial in design. Thus, despite the best efforts
only a small fraction of effectors are testable.The aim of the present paper is to reduce restrictions of current protocols. To exemplify the
potential of the new quantitative analytical method, we systematically investigated a wide
range of alkali metal halides and quantified their effect on the preparation of zwitterionic
palmitoyloleoylphosphatidylcholine (POPC) free-standing giant unilamellar vesicles (GUV). The
method involved the application of the recently described water-in-oil (W/O) emulsion transfer
method shown to result in unilamellar vesicles52, originally designed to
prepare asymmetric vesicles53 and modified by the authors both to provide a
parallel and resource-saving vesicle preparation procedure54 and to prepare
multicompartmental vesicles55, as well as of haemocytometry measurements to
determine the vesicle yield and to test the reliability of the new semi-automatic quantitative
analytical method described herein. In contrast to widely used flow cytometry analyses5657, we used the impedance method for the quantification of vesicles. The effect
of four alkali metal chlorides, i.e. LiCl, NaCl, KCl and CsCl, four sodium halides, i.e. NaF,
NaCl, NaBr and NaI, and four potassium halides, i.e. KF, KCl, KBr and KI, on the preparation
of free-standing GUVs was tested over a concentration range of 0 to 500 mM in seven replicas.
Our results are in perfect agreement with literature. We hence conclude that the new
semi-automatic quantitative analytical method is highly reliable and therefore may provide
significant methodological advance in analysis of free-standing model membranes.
Results
In the negative control, vesicles were absent both using the automatic and manual vesicle
counting. No significant differences, i.e. p > 0.05, were found in the vesicle
yield when comparing automatic and manual vesicle counting (Fig.
1).
Figure 1
Comparability of automatic haemocytometric and manual counting of vesicles
prepared in the presence of alkali metal halides at a concentration of
500 mM.
An unpaired 2-tailed Welch's t test did not reveal any significant differences at the
p < 0.05 level. Sample sizes see text. The dashed lines represent the mean
values of the positive control group, i.e. in the absence of electrolytes, of the
automatic vesicle counting mautomatic = 7337 vesicles/μL and the
manual vesicle counting mmanual = 10675 vesicles/μL.
The effect of halogens and alkali metals on vesicle yield was quantified by performing
automatic vesicle counting with a common alkali metal cation (Na+,
K+) or halogen anion (Cl−).
Figs. 2, 3 and 4
show the vesicle concentration in dependence of the
alkali metal halide species and the ionic strength of the equiosmolar intravesicular and
intervesicular solution. The matrixes below indicate significant differences using Tukey's
HSD or Dunnett's T3 post hoc test.
Figure 2
Trends in vesicle yield in presence of 500, 100, and 20 mM of NaF, NaCl, NaBr, and
NaI.
The vesicle concentration correlates positively with the Hofmeister series, i.e. down
the halogen group. A one-way analysis of variance with Tukey's honestly significant
difference post hoc test was used for all samples. Significant differences of the
pairwise tests are listed in tabular form below the box plot with levels of significance
of p < 0.05 (*), p < 0.01 (**), and p < 0.001 (***).
Sample size for each sodium halide: n = 7; sample size for the positive control: n = 48.
The dashed line represents the mean value of positive control group, i.e. in the absence
of electrolytes. Solid line segments connect the mean values of neighbouring sodium
halides.
Figure 3
Trends in vesicle yield in presence of 500, 100, and 20 mM of KF, KCl, KBr, and
KI.
The vesicle concentration correlates positively with the Hofmeister series, i.e. down
the halogen group. A one-way analysis of variance with Tukey's honestly significant
difference post hoc test was used for all samples at concentrations of 100 and 20 mM. A
one-way analysis of variance with Dunnett's T3 post hoc test was used for all samples at
a concentration of 500 mM. Significant differences of the pairwise tests are listed in
tabular form below the box plot with levels of significance of p < 0.05 (*),
p < 0.01 (**), and p < 0.001 (***). Sample size for each potassium
halide: n = 7; sample size for the positive control: n = 48. The dashed line represents
the mean value of positive control group, i.e. in the absence of electrolytes. Solid
line segments connect the mean values of neighbouring potassium halides.
Figure 4
Trends in vesicle yield in presence of 500, 100, and 20 mM of LiCl, NaCl, KCl, and
CsCl.
The vesicle concentration correlates positively with the reverse Hofmeister series,
i.e. down the alkali metal group, as indicated by the significant differences between
LiCl and KCl at a concentration of 500 mM and between LiCl and CsCl at a concentration
of 100 and 20 mM. A one-way analysis of variance with Tukey's honestly significant
difference post hoc test was used for all samples. Significant differences of the
pairwise tests are listed in tabular form below the box plot with levels of significance
of p < 0.05 (*), p < 0.01 (**), and p < 0.001 (***).
Sample size for each alkali metal chloride: n = 7; sample size for the positive control:
n = 48. The dashed line represents the mean value of positive control group, i.e. in the
absence of electrolytes. Solid line segments connect the mean values of neighbouring
alkali metal chlorides.
Concerning the effect of alkali metal halides on the vesicle concentration, we observed
that (i) the vesicle concentration correlates positively with the Hofmeister series for
anions, i.e. down the halogen group and (ii) positively with the reverse Hofmeister series
for cations, i.e. down the alkali metal group. (iii) Trends in the vesicle concentration are
more prominent for anions (iv) and at a concentration of 100 mM. (v) Only iodide (i.e. NaI
and KI) does not negatively affect vesicle preparation if compared to the positive control.
By using light microscopy, the vesicles were found to be equal in size for all conditions
tested and little to no vesicle aggregates were observed (Fig. 5).
Figure 5
Light microscope images of vesicles for all conditions tested.
The conditions (i.e. the ions present and their concentration) are listed in the column
and row headings. In the positive control experiment, no electrolytes were present.
After the transfer from the microplate wells to the microscope slides, within minutes,
the vesicles spontaneously sink to the glass surface as a result of the density
difference between the vesicle lumen and the hosting medium. Little to no aggregates
were found for all conditions. Scale bars: 50 μm.
Discussion
Because neither variations in vesicle size nor vesicle aggregates were found, the automatic
and manual vesicle counting were not biased by vesicles that were not individually
distinguishable, i.e. by aggregates of vesicles, or differences in vesicle size
distributions. The numbers obtained therefore represent the number of individual vesicles
for each condition tested.In preliminary studies, vesicles were found to be stable both in presence and absence of
electrolytes on glass surfaces treated with repel silane and in microplates. In the presence
of electrolytes, vesicles undergo lysis on untreated glass surfaces; but in the absence of
electrolytes, vesicles were found to be stable for hours. Due to technical limitations, the
surfaces of the Neubauer cell counting chamber were untreated and as a consequence the
manual vesicle counting methodology had to be adjusted accordingly. Because events of lysis
were not observable during automated vesicle counting, it is reasonable to consider the
manual vesicle count for the samples of the positive control, as the measurement the most
reliable. Statistical analysis did not reveal any significant differences between automatic
and manual vesicle counting. However, a closer look at the results reveals for most of the
electrolytes a slightly reduced number of manual counts when compared to automatic vesicle
counting in the presence of salt and the opposite effect in the absence of salt, i.e. for
the positive control (cf. Fig. 1). From the comparison of automatic
and manual counting for the positive control one may assume that there is vesicle lysis
during the automatic counting, and the actual vesicle yield may therefore be underestimated
in this study. However, the opposite trend in the presence of salt indicates that the
shorter measuring time of the automatic counting (1 min) compared to the manual counting (4
± 1 min) compensates for this shortcoming.Collins and Washabaugh4 reported that anions by far dominate cations in
terms of Hofmeister effects. The results reported here are in perfect accordance to these
findings because the span of vesicle concentration is larger along the halides (cf. Figs. 2 and 3) than along the alkali metals (cf.
Fig. 4). In addition, only iodide – independent of the alkali metal
cation, i.e. sodium or potassium – does not negatively affect vesicle preparation if
compared to the positive control at concentrations of 100 and 20 mM. This is consistent with
results we reported previously in the context of DNA-mediated self-assembly of vesicles58.Our results reveal a general trend in the effect of halogens and alkali metals on vesicle
preparation. The most hydrophobic (i.e. the most chaotropic) anion affects least the vesicle
preparation. Interestingly, for cations the inverse series is obtained in our measurements,
with the most hydrophilic (i.e. the most kosmotropic) cation affecting the vesicle
preparation the least. This general trend exactly fits the series obtained for the influence
of anions and cations on the dipole potential of PC liposomes41, the
attraction of anions and cations to solid-supported membranes18, and the
absorption of cations to phosphatidylserine liposomes20 and POPC
vesicles19.Because a molecular-level understanding of the Hofmeister series is still lacking, one can
only speculate about how the tested electrolytes affect the vesicle yield. The anions and
cations tested may interfere to different extents with the vesicle preparation method and
cause reduced vesicle counts when compared to the positive control where no electrolytes are
present. Because no changes in the number of vesicles were observed for vesicles stored in
microplates for several hours, the stability of vesicles is not negatively affected by the
presence of electrolytes once they have been prepared. We introduced a density difference
between the equiosmolar solutions of the vesicle lumen and the solution hosting the
vesicles. Thus, the vesicles form pellets at the bottom of the microplate wells. This not
only allows a manipulation (e.g. exchange of the supernatant, transfer to another vessel) of
vesicles in a straightforward manner but also a removal of vesicles, for which an exchange
of the solutions inside and outside the vesicle took place (e.g. by a temporal reduction of
the membrane integrity) and which as a consequence do not sink to the bottom of the
aqueous phase. As Pautot et al.53 already reported, vesicles that
are equally dense as the surrounding medium remain at the interface between the emulsion
phase and the aqueous phase and do not accumulate at the bottom of the
aqueous phase. Furthermore, because no differences in the number of water-in-oil
emulsion droplets were found for all conditions tested when counted manually (data not
shown), we assume that the surface coverage of oil-water interfaces is complete and not
affected by the presence of electrolytes, i.e. the water-in-oil droplets in the emulsion
phase and the interface between the emulsion phase and the aqueous phase
are stabilized by a complete single layer of phospholipids although ions were shown to
interact with phospholipid membranes (see Methods for details)1011121314151617181920. Pautot et al.52
already discussed the role of the kinetics of interfacial lipid adsorption for the vesicle
preparation procedure used in this study. Since the emulsion droplets pass through the
interface, they pick up part of the monolayer for completion of a bilayer. One may speculate
that different electrolytes affect the absorption of new lipids to replenish the interface
differently. Thus, during the relatively fast sedimentation stage, the probability of
breakage of emulsion droplets when turning into vesicles, i.e. when emulsion droplets pass
the interface between the emulsion phase and the aqueous phase, may depend on
the electrolytes present in the aqueous phase.The combination of the highly parallel vesicle preparation protocol and automatic
haemocytometry measurements allowed a reliable quantitative analytical evaluation of the
effect of alkali metal halides on the preparation of artificial vesicles prepared by the W/O
emulsion transfer method. The sample size of 279 individual measurements allowed solid
statistical evaluations. The method reported therefore outnumbers current in vitro
and in silico techniques by providing quantitative analytical method of large sample
sizes. Our findings reported here are consistent with previous results, i.e. the fitting of
automatic and manual vesicle counting, the dominance of anions over cations, and the finding
of ion-specific effects as a function of ion size, valency and polarizability following the
Hofmeister series or the reverse Hofmeister series, which demonstrates the reliability of
our method. Thus, the new semi-automatic quantitative analytical method may provide a
significant methodological advance in analysis of free-standing model membranes.
Methods
The phospholipidPOPC (Sigma-Aldrich, Buchs, Switzerland, cat # P3017) was purchased as a
powder and dissolved in chloroform (Scharlau, Barcelona, Spain) to a concentration of
10 mg/mL upon arrival. After chloroform evaporation (under vacuum, 60 min), POPC was
dissolved in light mineral oil (Sigma-Aldrich, Buchs, Switzerland, cat # 330779) to a final
concentration of 200 μM. The POPC in mineral oil was stored under normal atmosphere and used
within two days after preparation.For the vesicle preparation we used a modified version of the W/O emulsion transfer method
presented by Pautot et al.5253. For a schematic illustration of the vesicle
preparation technique and the technical terms (italicized hereafter) used see53. For a detailed description of the modifications of the original W/O emulsion transfer
method see58. Briefly, the modification involved the use of microplates (U96
MicroWell plates, polystyrene clear, U-bottom, Thermo Fisher Scientific, Langenselbold,
Germany) and the density difference between the equiosmolar monosaccharidic intervesicular
and the disaccharidic intravesicular aqueous solutions, to detach the vesicles from the
interface between intermediate and aqueous phase. The centrifugation to
prepare vesicles was performed at 4°C and 1500 × g for 10 min. All other steps of the
vesicle preparation were performed at room temperature.All solutions were prepared using high quality water (Milli-Q, Millipore, Brussels,
Belgium). Sucrose (99.5%) and Glucose (99.0%) were purchase from Sigma-Aldrich (Buchs,
Switzerland). The origins and the purity grade of the various alkali metal halides to be
investigated were as follows: LiCl (99.0%), KCl (99.5%), CsCl (99.0%), NaF (99.0%), NaBr
(99.5%), NaI (99.0%), KF (99.5%), KBr (99.0%), and KI (99.0%) were purchase from
Sigma-Aldrich (Buchs, Switzerland); NaCl (99.5%) was purchased from Carl Roth (Karlsruhe,
Germany).The emulsion phase (sucrose) as well as the aqueous phase (glucose) was
adjusted to 500 mM using a vapour pressure osmometer (Vapro5520, ELITech Group, Puteaux,
France). Additionally, to both the emulsion phase and the aqueous phase either
20, 100, or 500 mM of the alkali metal halides was added and the solutions were readjusted
to equiosmolar conditions. Consequently, the emulsion phase as well as the aqueous
phase only differed in the density. The W/O emulsion was prepared in microtubes by
adding 2 μL of the emulsion phase to 200 μL of the POPC dissolved in mineral
oil. The mixture was mechanically agitated and placed over the intermediate phase
(100 μL placed over 100 μL of aqueous phase). After incubation
(10 min), the centrifugation of the microplates induced vesicle formation. Vesicle
preparation was performed in nine replicas for 500 mM and seven replicas for 100 mM and
20 mM. The number of replicas for the positive and the negative control was 50 and 4,
respectively.Automatic vesicle counting was performed based on the impedance technology of a fully
automated haematology analyser (Sysmex XT-2000iV, Sysmex, Norderstedt, Germany)59. To test whether the vesicle preparation method resulted in oil-in-water
emulsion droplets or other artefacts that were counted for vesicles incorrectly, in a
negative control the same procedure as in the positive control, i.e. electrolytes neither
present in the emulsion phase nor in the aqueous phase, was used. The only
difference between the negative and positive control was the absence of phospholipids in the
mineral oil for the negative control. For all conditions tested seven replicas and 48
replicas for the positive control were analyzed. The manual vesicle counting for the
remaining two replicas of each salt of the concentration of 500 mM and of the positive
control was performed using an improved Neubauer cell counting chamber mounted to an
inverted light microscope at 40 × magnification (Nikon Eclipse TS100). Due to density
difference between the equiosmolar monosaccharidic inter- and the disaccharidic
intravesicular aqueous solutions, vesicles sank to the bottom of the microplate or the cell
counting chamber within seconds. Whereas vesicles were found to be stable for days in
polystyrene microplates, contact with the glass surface of the cell counting chamber caused
immediate vesicle lysis in the presence of salts. Thus, the manual vesicle counting of the
two replicas was limited to a primary square of the cell counting chamber and repeated once
for each replica. Automatic and manual vesicle counting was accomplished in one and three to
five minutes, respectively. Samples were diluted 1∶6 for the automatic counting and 1∶60 for
the manual counting with the equiosmolar aqueous phase hosting the vesicles.For the images of figure 5, all conditions tested were observed with
an inverted light microscope Nikon Eclipse TE2000-S and images captured with a Photometrics
Cascade II 512 camera and in-house software. All glass surfaces were treated according to
the supplier's recommendations with PlusOne Repel-Silane ES (GE Healthcare,
Hillerød, Denmark, cat # 17-1332-01). The bright field images of figure
5 were automatically contrast-adjusted afterwards (equally across the entire image)
using Adobe Photoshop CS, version 8.0.All statistical analyses were performed according to Janssen and Laatz60 by
using the PASW statistics software version 18.0.2 (Polar Engineering and Consulting,
Nikiski, USA). The comparability of automatic and manual vesicle counting was quantified by
an unpaired 2-tailed Welch's t test. A one-way analysis of variance with Tukey's honestly
significant difference (HSD) post hoc test, if homogeneity of variance was accepted, or with
Dunnett's T3 post hoc test, if homogeneity of variance was rejected, were used to test for
differences among the halogens and alkali metals, with levels of significance of p
< 0.05, p < 0.01, and p < 0.001. Normal distribution was tested by a
one-sample Kolmogorov-Smirnov test for each salt, each concentration, and each counting
method individually. Samples were considered normally distributed if p > 0.05.
Homogeneity of variance of the samples to be compared was tested by using a Levene's test.
Inhomogeneity in variance was accepted if p < 0.05.The box plots (Figs. 1–4) depict the
five-number summaries of the set of observations: sample minimum, lower quartile, median,
upper quartile, and sample maximum. Values which are more than one and a half box lengths
from either end of the box are flagged as outliers (1.5–3 box lengths from either end of the
box: circles; >3 box lengths from either end of the box: asterisks).
Author Contributions
MH and PEH conceived and designed the experiments. MH and EB performed the experiments. MH
and PEH analyzed the data. All authors contributed to reagents/materials/analysis tools. All
authors wrote the paper and reviewed the manuscript.
Authors: Maik Hadorn; Eva Boenzli; Kristian T Sørensen; Harold Fellermann; Peter Eggenberger Hotz; Martin M Hanczyc Journal: Proc Natl Acad Sci U S A Date: 2012-11-21 Impact factor: 11.205