Literature DB >> 29979046

Protein-Water-Ice Contact Angle.

Jens O M Karlsson1, Ido Braslavsky2, Janet A W Elliott3.   

Abstract

The protein-water-ice contact angle is a controlling parameter in diverse fields. Here we show that data from three different experiments, at three different length scales, with three different proteins, in three different laboratories yield a consistent value for the protein-water-ice contact angle (88.0 ± 1.3°) when analyzed using the Gibbs-Thomson equation. The measurements reinforce the validity of each other, and the fact that similar values are obtained across diverse length scales, experiments, and proteins yields insight into protein-water interactions and the applicability of thermodynamics at the nanoscale.

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Year:  2018        PMID: 29979046      PMCID: PMC6563840          DOI: 10.1021/acs.langmuir.8b01276

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


Introduction

The interaction of water with proteins and other biological molecules is fundamental to biology and a subject of intense current interest.[1−4] Knowledge of the contact angle that an icewater interface makes with a protein could add new insight to this interaction. Also, the protein–waterice contact angle is a controlling parameter in processes in diverse fields including cloud physics,[5,6] cell[7] and tissue cryopreservation,[8,9] food processing,[10] artificial snow making,[5] and natural biological adaptions in cold-climate-resilient plants, animals, and bacteria.[11] Even though this property can be determined indirectly from the Gibbs–Thomson equation (the thermodynamic relationship that describes freezing-point depression due to interfacial curvature), this approach requires knowledge of geometric dimensions that are difficult to estimate at the nanometer length scales associated with protein–waterice interactions. Consequently, it is common to assume speculative values for the contact angle[7,8] or to use phenomenological parametrizations that lump the contact angle with other physical properties.[5,12] Specifically in the field of cryobiology, inaccurate values of the protein–waterice contact angle may lead to errors in the prediction of intracellular ice formation temperatures or of ice-binding protein activities.

Gibbs–Thomson Equation

The growth of ice in a confined space is limited by the geometrically imposed ice–liquid interface curvature and the ensuing freezing-point depression. See Figure . The relationship between freezing point depression Δ (the amount that the equilibrium freezing point of the confined aqueous solution is below the freezing point of the unconfined aqueous solution[8]) and the curvature of a spherical ice front in a confining cylindrical pore of diameter d is given by the Gibbs–Thomson equation[13]where Tf = 273.15 K is the equilibrium freezing point of unconfined pure water, vI = 1.091 × 10–3 m3/kg is the specific volume of ice at Tf, Lf = 3.337 × 105 J/kg is the specific latent heat of fusion of pure water at Tf, γ is the icewater interfacial tension, and θ is the contact angle that the icewater interface makes with the confining pore wall as measured through the liquid water. There are some important things to note in the application of the Gibbs–Thomson equation. First, because of the action of interfacial tension, the shape of the equilibrium icewater interface is indeed approximately spherical when confined within a cylindrical pore. Liu et al. showed explicitly that the ice interface was spherical in glass capillaries of 6 to 20 μm diameter.[14] Second, because of the elegant construction of the Gibbs dividing surface and the Gibbs surface of tension (whereby all effects of the existence of an interface are assigned for accounting purposes to surface excess properties), the composite system thermodynamics of Gibbs,[15] on which eq is based, is expected to be valid down to length scales (phase dimensions, radii of curvature, pore diameters) significantly smaller than the depth to which interface effects (such as the ordering of water molecules) extend into the bulk. To date, the validity of eq has been experimentally confirmed for pore diameters down to 3.6 nm.[16] Third, eq predicts that the curvature-induced freezing-point depression does not become appreciable until the curvature reaches length scales below those easily accessible optically, making visual verification of the contact angle barely possible. That is, in systems for which the curvature-induced freezing-point depression is significant, the contact angle appearing in eq is not known a priori.
Figure 1

Schematic of ice in a cylindrical confining pore. The pore diameter, d, and the ice–water–wall contact angle, θ, are identified.

Schematic of ice in a cylindrical confining pore. The pore diameter, d, and the icewater–wall contact angle, θ, are identified.

Results

The authors and their co-workers have independently undertaken three different experiments that examine the temperature at which ice can grow through pores formed by animal proteins.[8,9,17] Each study used a temperature-controlled cryomicroscope to observe a biological material in which one or more proteinaceous pores separated a crystallized aqueous compartment from a supercooled aqueous compartment, allowing the temperature of ice growth through the pore to be determined by the visual detection of ice crystal formation in the adjoining liquid compartment. Thus, each paper reported a measurement of ΔT for a known circumstance of ice propagation in a confined space; the experimental methods and circumstances are elaborated in the paragraphs below and given in full in the cited references. In this work, using these previously published ΔT data together with the Gibbs–Thomson equation (eq ) and suitable values for the constants appearing in that equation, we obtained estimates of the protein–waterice contact angle. For the analysis of all three data sets, we used a single value for the icewater interfacial tension of 30 mJ/m2, which has broad independent experimental support,[14,18−20] and then performed a sensitivity analysis to determine the impact of uncertainties in this least-well-known parameter of eq . Drori, Davies, and Braslavsky correlated measurements of thermal hysteresis (the difference between the melting point of ice and the lower temperature of an ice growth burst) with the surface density of hyperactive antifreeze protein from Tenebrio molitor adsorbed on the surface of ice crystals, and interpreted the thermal hysteresis as being due to the curvature-induced freezing-point depression ΔT resulting from the constraint that ice grow through voids between adsorbed antifreeze proteins.[17] See Figure . It is important to understand that these antifreeze proteins have a unique interaction with the ice surface that enables them to adhere to ice crystals. Whereas the ice-binding domain of the protein has a high affinity for ice over liquid water, the outward-facing domains of the protein do not have this preference for ice.[11,17] Here, we consider the contact angle resulting from interactions of the waterice interface with the nonbinding surfaces of the antifreeze protein.
Figure 2

Schematic of ice blocked by ice-binding proteins (shown in red), depicting interactions between the curved ice–water interface and the protein surface.

Schematic of ice blocked by ice-binding proteins (shown in red), depicting interactions between the curved icewater interface and the protein surface. If the spatial distribution of the ice-binding proteins is modeled as a Poisson point process, then the expected value of the diameter of circular voids is given by , where σ is the average surface density of adsorbed antifreeze protein.[21] For protein densities that yielded mean void diameters ranging from 7 to 35 nm, the thermal hysteresis was well fit by the relationshipWhen this expression is substituted into eq , the resulting value of the protein–waterice contact angle is found to be 87.5 ± 0.2°. An estimate of the contact angle from a similar analysis was first published in ref (17); the value reported here differs slightly (by ∼2.5°) from the value given in ref (17) because the previous calculation assumed regular spacing of the adsorbed proteins and thus applied a different form of the Gibbs–Thomson equation. Higgins and Karlsson used high-speed imaging techniques to observe the mechanism of initiation of intracellular ice formation in pairs of genetically modified MIN6 (mouse insulinoma) cell strains, and found that intracellular freezing was preceded by a paracellular ice penetration process in which growing extracellular ice crystals inoculate pockets of supercooled solution that are trapped between apposing membranes at the cell–cell interface.[9] See Figure . They observed that although the rate of incidence of paracellular ice penetration events varied by nearly an order of magnitude in the four different MIN6 strains investigated, the probability of paracellular freezing vanished abruptly at temperatures above a threshold temperature that fell within a narrow range (−5.92 to −5.41 °C) for each of the four cell strains. Following the evidence and arguments presented in ref (9), we assume that paracellular ice penetration events occur when ice grows through claudin pores that regulate the paracellular permeability of tight junction strands. Paracellular claudin pores are estimated to have diameters in the range of 0.65–0.8 nm.[22,23] Substituting that value for d in eq along with the measured freezing-point depression for paracellular ice penetration relative to the freezing point of the unconfined aqueous solution, which was −1.5 °C, i.e.,[9]we calculate a protein–waterice contact angle of 88.4 ± 0.3°. The value reported here is slightly different from the corresponding one previously reported in ref (9) (by ∼0.1°) due to improved estimates of the pore diameter and the icewater interfacial tension value in eq .
Figure 3

Schematic diagram of cell–cell interface with tight junctions (tight junction proteins shown in red) depicting the paracellular growth of extracellular ice through a claudin pore (which results in the inoculation of a liquid pocket located between the two cell membranes).

Schematic diagram of cell–cell interface with tight junctions (tight junction proteins shown in red) depicting the paracellular growth of extracellular ice through a claudin pore (which results in the inoculation of a liquid pocket located between the two cell membranes). Acker, Elliott, and McGann observed the spatiotemporal pattern of intracellular ice formation in monolayer cultures of Madine–Darby canine kidney (MDCK) cells and interpreted the appearance of directed wavelike patterns of ice formation as evidence of ice growth through gap junctions.[8] See Figure . They found that ice grew readily from cell to cell at −3 °C but not at higher temperatures. Because the unconfined isotonic solution produces a colligative freezing-point depression of 0.6 °C, the gap junction channels can be assumed to have contributed a curvature-induced freezing-point depression of
Figure 4

Schematic illustration of ice growth from one cell to an adjacent cell through a gap junction pore. Gap junction proteins are shown in red.

Schematic illustration of ice growth from one cell to an adjacent cell through a gap junction pore. Gap junction proteins are shown in red. When this Δ together with a diameter for gap junction pores of 1.5 nm is used in eq , the protein–waterice contact angle is found to be 88.1°. While 1.5 nm is an accepted estimate of the gap junction pore diameter in mammalian cells,[24] gap junction pore diameters have been measured to range from 0.8 to 2.4 nm.[25] Taking into account this uncertainty in the pore diameter, the contact angle resulting from this third experiment can be given as 88 ± 1°.

Discussion and Conclusion

Herein we used the Gibbs–Thomson equation together with data from three different experiments on ice propagation through protein pores and obtained estimates for the protein–waterice contact angle with error bounds of 1° or less for each experiment. Significantly, all of the contact angles thus obtained agree with each other very closely, giving a contact angle of 88 ± 1° (in which the value and error represent the range of obtained results). We note that these experiments involve three different types of protein, in three different experiments, with three different geometries, in three different laboratories and with pore sizes spanning almost 2 orders of magnitude (0.65–35 nm). Furthermore, as the icewater interfacial tension is the least well known constant in eq , performing a sensitivity analysis on the effect of varying the icewater interfacial tension from 27 to 34 mJ/m2 (the largest range supported by the different results in refs (18−20) and more than adequate to cover any temperature dependence of the interfacial tension[18]) broadens our precision of the protein–waterice contact angle reported here only slightly, to 88.0 ± 1.3°. The results in this article are important for two reasons. First, the fact that the contact angle is close to 90° indicates that the protein–water interfacial tension is very similar to the protein–ice interfacial tension, which is consistent with the known phenomenon of water structuring by proteins.[26−28] Because the precision of our reported value of the contact angle is high (±1.5%), it may be possible to use this parameter value to calibrate molecular dynamics simulations to gain additional insight into protein–water interactions.[29,30] Second, the high degree of consistency among our three independent contact angle estimates justifies the application of eq to each of the experimental systems. Specifically, within the limits of experimental uncertainty, the contact angles obtained from the two experiments with the smallest pore sizes (in the range 0.65–2.4 nm) are in agreement with each other, and these nanoscale measurements also agree with the values found from the experiments with larger pore sizes of up to 35 nm. Inasmuch as the validity of the Gibbs–Thomson equation is not in doubt for the larger pore dimensions, the agreement among all three experimental studies suggests that eq is also valid for the nanometer-scale pores. Thus, our results represent the smallest length scale to which the Gibbs–Thomson equation has found support for validity.[16,31,32] The results of our article beg the question, what is the smallest length scale at which it is possible for the Gibbs–Thomson equation to be valid? The Gibbs–Thomson equation has been previously experimentally verified for water in porous glass down to a diameter of 3.6 nm, and it was further shown that water molecules moved rather freely in pores of this dimension.[16] For systems such as water in glass with contact angles near 0°,[14] the first limit of validity of Gibbsian composite system thermodynamics is set by the scale at which disjoining pressure, which keeps the interface from approaching the pore wall, becomes an appreciable effect. For our systems, in which the contact angle is near 90°, the interface comes straight out from the wall and disjoining pressure makes no contribution to the contact angle. The next limit of possible validity of thermodynamics occurs as the pore size approaches the molecular size and molecules are excluded from the pore. The effective diameter of a water molecule has been estimated to be 0.274 nm,[33] meaning that our smallest pore size is only 2.4 molecular diameters across. It is therefore unlikely that agreement with the Gibbs–Thomson equation will be found with length scales any smaller than the smallest pore size in this article. The applicability of eq to nanoscale phase transformations is a testament to the careful structure of Gibbsian thermodynamics of composite systems,[15] which, because of the prescient constructs of the Gibbs dividing surface and the Gibbs surface of tension, is valid even in systems with dimensions comparable to or smaller than the length scale of the interface effects. Thus, beyond their importance for applications in biology and cloud physics, our results are broadly significant for the fundamental disciplines of thermodynamics and nanoscale science.
  22 in total

1.  Intercellular ice propagation: experimental evidence for ice growth through membrane pores.

Authors:  J P Acker; J A Elliott; L E McGann
Journal:  Biophys J       Date:  2001-09       Impact factor: 4.033

2.  Measurement of freezing point depression of water in glass capillaries and the associated ice front shape.

Authors:  Zhihong Liu; Ken Muldrew; Richard G Wan; Janet A W Elliott
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-06-16

Review 3.  Water as an active constituent in cell biology.

Authors:  Philip Ball
Journal:  Chem Rev       Date:  2007-12-21       Impact factor: 60.622

4.  Protein hydration dynamics and molecular mechanism of coupled water-protein fluctuations.

Authors:  Luyuan Zhang; Yi Yang; Ya-Ting Kao; Lijuan Wang; Dongping Zhong
Journal:  J Am Chem Soc       Date:  2009-08-05       Impact factor: 15.419

5.  Parameterizations for ice nucleation in biological and atmospheric systems.

Authors:  Thomas Koop; Bernhard Zobrist
Journal:  Phys Chem Chem Phys       Date:  2009-09-30       Impact factor: 3.676

6.  Ice nucleation by particles immersed in supercooled cloud droplets.

Authors:  B J Murray; D O'Sullivan; J D Atkinson; M E Webb
Journal:  Chem Soc Rev       Date:  2012-08-29       Impact factor: 54.564

7.  Long-range protein-water dynamics in hyperactive insect antifreeze proteins.

Authors:  Konrad Meister; Simon Ebbinghaus; Yao Xu; John G Duman; Arthur DeVries; Martin Gruebele; David M Leitner; Martina Havenith
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-31       Impact factor: 11.205

Review 8.  Water structure and interactions with protein surfaces.

Authors:  Tanya M Raschke
Journal:  Curr Opin Struct Biol       Date:  2006-03-20       Impact factor: 6.809

9.  The density of small tight junction pores varies among cell types and is increased by expression of claudin-2.

Authors:  Christina M Van Itallie; Jennifer Holmes; Arlene Bridges; Jody L Gookin; Maria R Coccaro; William Proctor; Oscar R Colegio; James M Anderson
Journal:  J Cell Sci       Date:  2008-01-15       Impact factor: 5.285

10.  Molecular basis for cation selectivity in claudin-2-based paracellular pores: identification of an electrostatic interaction site.

Authors:  Alan S L Yu; Mary H Cheng; Susanne Angelow; Dorothee Günzel; Sanae A Kanzawa; Eveline E Schneeberger; Michael Fromm; Rob D Coalson
Journal:  J Gen Physiol       Date:  2009-01       Impact factor: 4.086

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Authors:  Michael Chasnitsky; Ido Braslavsky
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2.  Combined molecular dynamics and neural network method for predicting protein antifreeze activity.

Authors:  Daniel J Kozuch; Frank H Stillinger; Pablo G Debenedetti
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