ARTICLE
Received 24 Aug 2016 | Accepted 13 Apr 2017 | Published 31 May 2017
DOI: 10.1038/ncomms15639 OPEN
Real-time monitoring of hydrophobic aggregation reveals a critical role of cooperativity in hydrophobic effect
Liguo Jiang1,2,3,*, Siqin Cao2,3,*, Peter Pak-Hang Cheung4, Xiaoyan Zheng2, Chris Wai Tung Leung2, Qian Peng5,
Zhigang Shuai6, Ben Zhong Tang2,3,4,7, Shuhuai Yao3,7,8 & Xuhui Huang2,3,7
The hydrophobic interaction drives nonpolar solutes to aggregate in aqueous solution, and hence plays a critical role in many fundamental processes in nature. An important property intrinsic to hydrophobic interaction is its cooperative nature, which is originated from the collective motions of water hydrogen bond networks surrounding hydrophobic solutes. This property is widely believed to enhance the formation of hydrophobic core in proteins. However, cooperativity in hydrophobic interactions has not been successfully characterized by experiments. Here, we quantify cooperativity in hydrophobic interactions by real-time monitoring the aggregation of hydrophobic solute (hexaphenylsilole, HPS) in a microuidic mixer. We show that association of a HPS molecule to its aggregate in water occurs at sub-microsecond, and the free energy change is 5.8 to 13.6 kcal mol 1. Most strikingly,
we discover that cooperativity constitutes up to 40% of this free energy. Our results provide quantitative evidence for the critical role of cooperativity in hydrophobic interactions.
1 Institute for Advanced Study, The Hong Kong University of Science and Technology, Hong Kong, China. 2 Department of Chemistry, The Hong Kong University of Science and Technology, Hong Kong, China. 3 HKUST-Shenzhen Research Institute, Hi-Tech Park, Nanshan, Shenzhen 518057, China. 4 Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Hong Kong, China. 5 Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China. 6 Department of Chemistry, Tsinghua University, Beijing 100084, China. 7 Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration & Reconstruction, The Hong Kong University of Science and Technology, Hong Kong, China. 8 Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.* These authors contributed equally to this work. Correspondence and requests for materials should be addressed to S.Y. (email: mailto:[email protected]
Web End [email protected] ) or to X.H. (email: mailto:[email protected]
Web End [email protected] ).
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ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms15639
Hydrophobic interactions drive nonpolar solutes to aggregate in aqueous solution1,2, and hence play an important role in many fundamental processes in nature.
Molecular theories38 and computer simulations9,10 of hydrophobicity suggest that water molecules need to break some of their hydrogen bonds to accommodate large nonpolar solutes (radius larger than 1 nm). This loss of waterwater hydrogen bonds will induce uctuations and depletion of water density near large hydrophobic solutes1013, and further lead them to collapse14,15. Therefore, hydrophobic interactions are originated from the collective motions of water hydrogen bond networks surrounding hydrophobic solutes1619; hence, they are naturally cooperative2022. This is in contrast to fundamental intermolecular interactions that are often treated as pairwise additive, such as ionic interactions, dipolar interactions and dispersion forces.
Cooperativity is a phenomenon whereby the overall interaction for a system containing multiple molecules is stronger than the summation of individual pairwise interactions. Such cooperative feature of hydrophobic interactions is widely believed to accelerate, stabilize and enhance the formation of hydrophobic core in proteins, the aggregation of misfolded proteins and the formation of lipid vesicles and micelles. However, the extent of contributions from cooperativity to these processes still remains unclear. Addressing this issue requires, rst and foremost, quantitative measurements of hydrophobic interactions, which are very challenging as the size, chemistry and topography of solutes can affect the strength of hydrophobic interactions3,2327.
Microuidic mixing techniques have been widely applied to investigate many important chemical and biological processes, including protein and RNA folding2832, enzyme activities33,34 and vesicle formations35,36. In this study, we quantied the thermodynamics and kinetics of hydrophobic interactions in bulk solution by real-time monitoring of uorescence induced by the aggregation of hexaphenylsilole37 (HPS, C40H30Si) in a state-of-the-art microuidic mixer at microsecond timescale. Using this technique, we show that in the attachment of a HPS molecule to its aggregate, the free energy change is
5.8 to 13.6 kcal mol 1, the timescale is sub-microsecond,
and the cooperativity constitutes up to 40% of the free energy change.
ResultsMicrouidic experiment and model tting. We employed HPS molecules (Fig. 1a left) to study hydrophobic interactions in bulk solutions using a microuidic mixer as depicted in Fig. 1b (Supplementary Note 1). The aggregation of HPS molecules is mainly driven by solvent-induced hydrophobic interactions, as six aromatic rings render its hydrophobic property and direct p p stacking interactions between HPS molecules are
negligible38. Importantly, HPS molecules emit strong uorescence upon aggregation37. This unique feature allows us to track the progress of HPS aggregation in the microuidic mixer (Fig. 2a), where the molecular aggregation occurs in a sample stream that was hydrodynamically sheathed to tens of nanometres in width within a few microseconds upon rapid solvent exchange. We can determine the time course of HPS aggregation via dividing the travelling distance of mixture solution along the exit microchannel by its ow velocity. The measured uorescence intensities (Fig. 2b,c, symbol points) were linearly correlated with the total amount of aggregated HPS. This linear correlation was validated by quantum mechanics/molecular mechanics calculations39, uorescence AFM experiments and spectrophotometer experiments (Supplementary Figs 14, 13, 19 and 20; Supplementary Notes 2 and 6).
Next, we tted the measured uorescence data to the classical nucleation-growth model40 (Fig. 3a; Supplementary Note 3). At each aggregation time point in this model, new nuclei are being formed and simultaneously existing aggregates are growing. Once new nuclei are formed, they continue to grow as long as the solution is supersaturated. Accordingly, the total amount of aggregated HPS per unit volume at time t is the integration of the product of nuclei generated at a previous time s and its size growing during the remaining time t
V t
Z
t0 J s
n s
dt0 dt
Z
t s
dg t0; s
ds 1
where J(s)is the number of nucleus generated in unit volume per time, n*(s) is the critical nucleus size, and dg t0; s =dt0 is the
growth rate of the nucleus that formed at time s. By tting the measured uorescence to the model (Fig. 2b,c, solid lines), we obtained the free energy change associated with attaching a HPS monomer to its aggregate and resolved the kinetics of HPS aggregation in various solvent mixtures of dimethyl sulfoxide (DMSO) and water. The results were then extrapolated to the pure water condition (Supplementary Fig. 5).
Free energy change associated with hydrophobic aggregation. We determined that the strength of hydrophobic interaction associated with attaching a HPS monomer to an existing aggregate (for example, 5.813.6 kcal mol 1 in pure water,
Fig. 1c) is comparable to that of several waterwater hydrogen bonds41. As shown in Figs 1c and 3b, hydrophobic interaction increases rapidly with aggregate size and decreases with the addition of DMSO solvent. For instance, the free energy of hydrophobic interaction by attaching a HPS monomer to an aggregate containing 10 molecules (B29 diameter) is
8.2 kcal mol 1 in pure water, while it is only
3.8 kcal mol 1 in the solvent mixture with a DMSO mole fraction of 0.32. As the aggregate grows in size, the hydrophobic interactions become stronger; when the aggregate is innitely large, they reach the asymptotic values of 13.6 and 6.7 kcal mol 1 in pure water and in the solvent mixture, respectively. In addition, the hydrophobic free energy per solvent accessible surface area (SASA) of a HPS molecule (SASA: 750 2) in pure water was calculated to be 18.1 cal mol 1 2, a value close to the estimated one (B20 cal mol 1 2) for aromatic hydrocarbons from previous experiment42 and the predicted one (B16 cal mol 1 2) for benzene from MD simulations43.
Interestingly, Chandler and co-workers predicted that there should exist a crossover in the length-scale for the hydrophobic effect at around 1 nm in solute radius1,3. Our experiment demonstrates the existence of this crossover by showing a kink during the transition from volume-based hydration free energy for monomer (smaller than 1 nm in radius) to area-based hydration free energy of aggregates (larger than 1 nm in radius, see Supplementary Note 7 and Supplementary Fig. 21 for details).
Cooperativity of hydrophobic interactions. We found that cooperativity constitutes up to 40% of the free energy for the hydrophobic association in aggregate formation. To compute the magnitude of cooperativity, we followed Wang et al.21 to dene it as the excess multibody free energy upon attaching a monomer to the aggregate (Fig. 3b). Figures 1c and 3b show the dependence of cooperativity on the size of hydrophobic aggregate in different solvent conditions. The strength of cooperativity in attaching a HPS monomer to aggregates increases from 2.6 kcal mol 1 for aggregate containing ve molecules (B23 diameter) to4.2 kcal mol 1for aggregate containing 50 molecules (B45 diameter) in pure water, whereas the free energy change
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a
c
Thermodynamics of HPS aggregation
Kinetics of HPS aggregation
(n+1)th
Qn Gn
0
Free energy change: Gn
Kinetics: t
Coorperativity: Qn
Qn = Gn i {n} [afii9829]Fi , n+1
Free energy (kcal mol1 )
4
6
8
10
12
200
2
HPS
b
DMSO solvent
Water
HPS
Water
HPS in DMSO solvent
Solvent exchange rapidly
HPS aggregation and emitting fluorescence
Detection volume
Confocal optical detection
Center
Side
d
Exit
Side
< s resolution
10 m
Water
150
100
50
0
t(ns)
0 25 50 75 100
Figure 1 | Quantifying cooperativity in hydrophobic interactions by monitoring HPS aggregation. (a, left) The chemical structure of a HPS molecule. (right) A scheme of HPS aggregation thermodynamics and kinetics. Cooperativity (Qn) is dened as the difference between the associated free energy of attaching a HPS monomer to the aggregate (DDGn) and the summarization of the two-body potential of mean force
P1 i n dFi;n1
Aggregation size (number of monomers)
upon the attachment
of the (n 1)th monomer to the aggregate. (b) The principle of real-time monitoring of HPS aggregation in the microuidic mixer. HPS (red dots) dissolved
in DMSO (blue dots) is continuously pumped into the centre microchannel, and then squeezed by two side water (cyan dots) streams to form an extremely narrow stream with tenths of nanometres in width. Thus, rapid solvents exchange occurs in a pure diffusion manner, and HPS molecules aggregate in downstream with strong uorescence emission under confocal optical microscopy. Blue arrows indicate the directions of continuous uid ow. Black arrows indicate specic locations. (c,d) Thermodynamics (DDG) (c), cooperativity (Qn) (c) and kinetics (t) (d) of attaching a HPS monomer to aggregates in pure water.
associated with these processes are 6.9 and 10.4 kcal mol 1, respectively. To evaluate the total amount of cooperativity in the formation of HPS aggregate in pure water, we integrated the contribution of cooperativity in Fig. 1c and compared this accumulated cooperativity with the aggregate formation free energy (that is the integrated hydrophobic interactions in Fig. 1c). As shown in Supplementary Fig. 6, both the aggregate formation free energy and the accumulated cooperativity increase linearly with aggregate size. Interestingly, our reported hydrophobic free energy at large n limit DDGn!1 13:6 kcal mol 1
becomes
equivalent to the free energy of transferring a HPS molecule from water to the HPS phase. Importantly, cooperativity constitutes up to 40% of the formation free energy in the aggregation process. This nding demonstrates a critical role of cooperativity in hydrophobic aggregation.
Kinetics of hydrophobic aggregation. Through our kinetics analysis, the attachment of a HPS molecule to an aggregate was estimated to occur at tens to hundreds of nanoseconds. We investigated the kinetics of HPS aggregation by tracking the growth of the rst nucleus formed in the theoretical model (Supplementary Fig. 7). At the initial stage of aggregation when aggregate size is smaller than 10 molecules, the time required for attaching a monomer to aggregates ranges from 30 to 200 ns (Figs 1d and 3c). When the aggregate grows in size, the kinetics of hydrophobic aggregation rst accelerate with increased surface
area available for attaching, and then gradually slow down due to the depletion of HPS monomers. Also, the time required for HPS molecules in pure water to form an aggregate containing 50 molecules (B45 diameter) is 1.9 ms (Supplementary Fig. 7). In addition, the initial HPS concentration also inuences the aggregation kinetics (Supplementary Fig. 8). For instance, at an initial HPS concentration of 2 mM in the solvent with 0.16 DMSO mole fraction, the time required for monomers to form an aggregate containing 50 molecules is 11.8 ms (Supplementary
Fig. 7). Our observation of microsecond timescale of HPS aggregation is comparable to the timescale of early stage protein folding (see the Methods section for details), during which nonspecic hydrophobic interactions among hydrophobic residues induce the initial collapse of polypeptide chain at microsecond timescale44.
DiscussionsOrganic molecules, such as proteins and lipid, bury their hydrophobic components to form stable cores. Hydrophobic interaction plays a crucial role in facilitating the collapse of protein chains into a globular shape25,4547. The faster kinetics of hydrophobic aggregations (at microsecond), in contrast to protein folding (at millisecond or longer), suggest that the formation of protein cores by the aggregation of hydrophobic side-chains occurs at the early stage in the process of globular protein folding. Most importantly, we show that hydrophobic
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a
10 m 0 1
b c
1.4
Relative fluorescence
1.6
1.4
1.2
1.0
0.8
0.6
0.4
0.2
0.0
Relative fluorescence
1.2
1.0
0.8
0.6
0.4
0.2
0.0
0
HPS initial concentration:
DMSO mole fraction:
0.21
6 mM 3 mM
4 mM 2 mM
0.32
0.26
250
0 50 100 150 200 50 100 150 200
Time (s)
Time (s)
Figure 2 | Time evolution of uorescence intensity measured by experiment and tted by theory. (a) A representative uorescence image of HPS aggregation in the microuidic mixer (with subtraction of background uorescence). White dashed lines indicate the outline of microuidic mixer.(b) Kinetic proles of HPS aggregation at various initial HPS concentrations (the solvent condition: DMSO mole fraction of 0.16). The solutesolvent surface tension (gsl) through theoretical tting (solid lines) of experimental data (symbol points) are 20.9 (0.6), 20.7 (0.6), 20.5 (0.6), and 20.3 (0.6) cal mol 1 2 at initial HPS concentration of 6, 4, 3 and 2 mM, respectively. (c) Kinetic proles of HPS aggregation in various solvent conditions (initial HPS concentration of 6 mM). For clear illustrations, the relative uorescence curves in part (b) corresponding to HPS concentrations of 3, 4 and 6 mM are shifted along y axis by 0.2, 0.4 and 0.6, respectively. Similarly, relative uorescence curves in part (c) corresponding to DMSO mole fractions of0.26 and 0.21 are shifted by 0.2 and 0.4, respectively. The solutesolvent surface tension (gsl) through theoretical tting (solid lines) of experimental data (symbol points) are 19.5 (0.6), 18.5 (0.6) and 17.0 (0.6) cal mol 1 2 in the solvent condition with a DMSO mole fraction of 0.21, 0.26 and 0.32, respectively. The Pearson correlation coefcients for all tted curves are larger than 0.98 (Supplementary Fig. 11).
150
a
Nucleation
DMSO mole fraction:
Cooperativity Qn
Growth
J
Critical nucleus
0.32
0.26 0.21 0.16
b c
1
Free energy (kcal mol1 )
2
3
4
5
6
7
t (ns)
Gn
100
50
0
75 100 25 50 75 100
Figure 3 | Thermodynamics and kinetics as well as cooperativity of HPS aggregation. (a) A schematic illustration of the nucleation-growth model for HPS aggregation. At each aggregation time point in this model, new nuclei are being formed at a rate of J determined by the classical nucleation theory, and then are growing in size in a barrier-free and diffusion-controlled manner. (b) The free energy change and cooperativity associated with attaching a HPS monomer to aggregates in various DMSO/water solvent mixtures. (c) The time taken for aggregates to grow by one HPS molecule in various solvent mixtures at initial HPS concentration of 6 mM.
0 25 50
Aggregate size (number of monomers) Aggregate size (number of monomers)
interaction, which is an interaction induced by collective behaviours of many water molecules, is strongly cooperative, and thus substantially enhance its strength during the aggregation
of dispersed hydrophobic molecules in solution. We anticipate that our ndings have profound implications in protein folding, as the protein core formation involves the collapse of
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NATURE COMMUNICATIONS | DOI: 10.1038/ncomms15639 ARTICLE
hydrophobic side-chains. We acknowledge that these two processes are different in many aspects. For instance, exible protein chains contain numerous conformations, while HPS molecules are relatively rigid. In addition, multiple sources may contribute to cooperativity in protein folding, such as the cooperative helix melting process due to hydrogen bonding48. Furthermore, even the extent of contributions by hydrophobic interactions to protein folding remains elusive49. In spite of these differences, our ndings highlight the important role of hydrophobic cooperativity (as large as 40%) in the initial collapse of protein chain to form into a globular shape. We expect that our experimental platform will have promising applications in studying hydrophobic interactions of a wide range of organic molecules with aggregation-induced emission50, and in investigating the impact of important factors such as temperature on hydrophobic effect.
Methods
Microuidic experiments. A solution of HPS molecules dissolved in DMSO was continuously pumped into the centre microchannel. This central stream was hydrodynamically squeezed by two side water streams to form an extremely narrow stream with tenths of nanometres in width. Hence, rapid solvents exchange occurred in a pure diffusion manner, and the immediate environment for HPS aggregation was reached within a few microseconds. In the mixer, the time course of HPS aggregation was determined by dividing the travelling distance of mixture solution along the exit microchannel by its ow velocity. Thus, the progress of HPS aggregation in downstream was monitored by the integrated confocal system at sub-microsecond temporal resolution. Fluorescence images were captured with spatial resolutions of 1 and 0.5 mm in vertical (depth) and horizontal (width)
directions, respectively. A diode laser at 405 nm was employed as the excitation source. The excitation beam was focused into the centre layer of microchannels by an oil immersion objective lens ( 63/1.4 NA). Then, uorescence was collected by
the same objective and detected by a photomultiplier tube detector at wavelength of 420600 nm. Pleases refer to Supplementary Note 1 for more details of the microuidic mixing experimental setup.
The classical nucleation-growth theory. In this paper, we employed the classical nucleation-growth theory40 to model the time evolution of the total amount of aggregated HPS in solution. At each aggregation time point in this model, new nuclei are being formed and the rate of nuclei formation is determined by the classical nucleation theory (CNT). At the same time, existing aggregates are growing in size in a barrier-free and diffusion-controlled manner. Once new nuclei are formed, they continue to grow as long as the solution is supersaturated.
The nucleation work W(n) to form an aggregate containing n molecules, the critical nucleus size n* and the nucleation rate J(t), which is the number rate of new nuclei generated per volume per time, are obtained from the CNT40 with the assumption that HPS monomer and HPS aggregates are spherical as suggested by previous studies51:
W n
gslAn nkT ln S t
gsl 36p
v p
HPS . Here RW 1.4 is the radius of
water molecule, AHPS is the surface area of HPS molecule, and ASASAHPS is the SASA of HPS molecule. With DFT calculations using the B3LYP functional5355 and 631 g basis set56, we optimized the structure of HPS molecule (Fig. 1a, left), and obtained AHPS 437 2 and ASASAHPS 750 2. These values give the radius of the HPS
molecule R1 5.9 and the diffusive radius RD1 6.3 , respectively. The
calculated diffusion constants of HPS monomer in different solvent mixtures are listed in Supplementary Table 1.
For the growth of HPS aggregates, we adopted a diffusion-controlled kinetic model in the absence of activation free energy barrier for HPS molecules attaching to an existing aggregate, and this model has been adopted by previous studies57. In our model, the monomer attachment frequency fn is the product of two terms: the ux of incoming molecules to encounter the surface of the existing aggregate containing n molecules, and the surface area of the aggregate:
fn t
DC1 t
Rn 4pR2n4pDC1 t
1=3
3n t
v
4pp
5
where D is the monomer diffusion constant, C1(t) is the monomer concentration at time t, Rn is the radius of the aggregate containing n molecules and n(t) is the size of the aggregate at time t. The molecular detachment frequency is independent of monomer concentration58, and is approximated to the attachment frequency at equilibrium f en. Hence, the growth rate of an aggregate containing n molecules can be written as
dg t
dt fn t
f en t
4pDCe
n t
v=p
4p=3
1=3
S t
1
6
Fitting uorescence data to the classical nucleation-growth model. We tted the experimental measured uorescence data to a theoretical model, which was built upon the classical nucleation-growth theory (equations(2)(5)). In our model, new nuclei are being formed at each aggregation time point, and simultaneously existing aggregates are growing. Once new nuclei are formed, they continue to grow as long as the solution is supersaturated. Accordingly, the total amount of aggregated HPS (V(t)) per unit volume at time t is the integration of the product of nuclei generated at a previous times and its size growing during the remaining time t. Meanwhile, the total amount of aggregated HPS (V(t)) can be independently calculated from supersaturation ratio (S(t), see Supplementary Note 3; Supplementary equation (8) for details). On the basis of these relations at a given initial concentration (C0), the solution of V(t) can be obtained numerically. As we showed that the total volume of aggregated HPS is proportional to the total uorescence intensity, the measured dynamics of normalized uorescence I(t)/IT should directly correlate to the HPS aggregation kinetics V(t)/VT. Therefore, we used the normalized total aggregates volume V t
=VT to directly t the measured normalized
uorescence intensity. In our model, gsl, the surface tension of HPS aggregates in the solvent mixture, is the only tting parameter. As our quantitative analysis heavily relies on the CNT, we have examined an alternative theory: a non-CNT59,60 involving stable prenucleation clusters (Supplementary Note 4). In non-CNT, the existence of stable prenucleation clusters will introduce a second free energy barrier, e (Supplementary Note 4), in comparison with CNT containing only a single barrier. Applying non-CNT to our system, we show that e has to be within 1.2kT (comparable with thermal uctuations) in order to obtain reasonable tting to experimental uorescence (Supplementary Figs 14 and 15). Not surprisingly, with these small values of e, the non-CNT theory provides consistent results with our CNT theory in both DDG and cooperativity (Supplementary Fig. 16). These results suggest that the formation of stable prenulceation clusters is not substantial in the aggregation of HPS molecules, and thus CNT is well applicable to our system. In our CNT model, we treat the DMSO concentration as a constant, while the DMSO concentration proles display noticeable drift along the microuidic tube (see Supplementary Fig. 9d). Our further analysis shows that considering the DMSO concentration gradient does not have signicant impact on the results (Supplementary Figs 22 and 23 and Supplementary Note 8).
Free energy change of attaching a HPS monomer to an existing aggregate.
The free energy change associated with attaching a HPS monomer to an existing spherical aggregate containing n molecules is
DDGn gslDA h kTy n 1
2=3 n2=3
n nkT ln St 2
n
2gsl 36p
!3
2y
3 ln S t
1=3 v=p
2=3 3KT ln S t
3
3
J t
36p
" #
S t
ln S t
4
where gsl is the surface tension of HPS aggregates in the solvent mixture, An 36p
1=3nv=p2=3 is the surface area of an aggregate containing n molecules, k
is the Boltzmann constant, T is the temperature, StC1=Ce is the supersaturation
ratio of HPS monomer in the solvent mixture changing with time t, v is the molecular volume of HPS monomer, p is the packing density of aggregates, which is the fraction of the molecular volume over the average volume that is occupied by a molecule in the aggregate, D is the diffusion coefcient of HPS molecule, Ce is the solubility of HPS in the solvent mixture and y gsl(36p)1/3(v/p)2/3/kT is related to
the surface energy of aggregates. We adopted the same solutesolvent surface tension gsl for aggregates in the same solvent mixture.
The HPS molecular volume, the packing density and the diffusion constant of HPS molecule were obtained as follows: by assuming that HPS molecules are spherical, the volume of HPS molecule can be calculated as v4pR31=3, where R1 is
the molecular radius. For spherical aggregate, the packing density was chosen to be p 0.7 as suggested by previous studies43. The diffusion constant of HPS monomer
D was calculated from the EinsteinStokes relation, DkT= 6pZRD1
,
where Z is
the viscosity of solvent mixtures obtained from the reported data52, and RD1 is the
diffusive radius of HPS monomer. The molecular radius R1 and the diffusive radius RD1 of HPS molecule were computed from the surface area of the HPS molecule with 4pR21AHPS and 4p RD1 RW
2ASASA
1=6
DCe
v2=p2
p y
p
e 4y = 27ln S t
h 7 where the rst term gslDA corresponds to the free energy cost associated with creating additional solutesolvent interface when the size of aggregate increases from n to (n 1). y gsl(36p)1/3(v/p)2/3/kT. The second term, h, refers to the free
energy of transferring a HPS molecule from the innite-sized aggregate phase to the solution, where no additional interface between the aggregate and solution needs to be created. We followed ref. 61 to compute h:
h kT ln Ce=Cagg
8
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where Ce is the solubility of HPS monomer in the solvent mixture andCagg p/(vNa) 1.352 M is the HPS molar concentration in aggregates. Here, v is
the molecular volume of a HPS monomer, p is the packing density and Na is the Avogadros constant. As the solutesolvent surface tension gsl have already been obtained previously, we can then calculate the values of y in various solvent mixtures (see Supplementary Table 2). As the solubility Ce was measured in our experiments (see Supplementary Fig. 10 for details), we can also obtain the values of h in various solvent mixtures (see Supplementary Table 2). Thus, free energy changes associated with attaching a HPS monomer to an existing aggregate in various DMSO/water solvent mixtures can be computed based on equation (7) and the results were shown in Fig. 3b.
We further determined the free energy associated with attaching a HPS monomer to aggregates in pure water (Fig. 1c). To achieve this, we obtained h and solutesolvent surface tension gsl in pure water as follows: rst, by plotting the transferring free energy h against the surface tension of solvent gs at 20 C (ref. 62; Supplementary Fig. 5a and Supplementary Table 1), we identied the relationship between h and gs to be linear (R2 of 0.98). We then extrapolated this tted linear curve (from solvent mixture condition) to obtain h to be 13.6 kcal mol 1 in pure water, yielding a HPS solubility of 9.6 10 5 mM. Next, we plotted the
solutesolvent surface tension of HPS aggregates gsl against the surface tension of the solvent (gs) (Supplementary Fig. 5b), and a linear relationship was obtained (R2 of 0.99). By extrapolating the tted cure to the pure water condition, we obtained a solutesolvent surface tension of 31.8 cal mol 1 2 for HPS aggregates in pure water. These two linear relationships (h versus gs, and gsl versus gs) were also shown in previous studies63,64.
Cooperativity in hydrophobic aggregation. We followed Wang et al.21 to dene the cooperativity in hydrophobic interactions as the excess multibody free energy upon attaching a HPS monomer to an aggregate. For example, the cooperativity in a trimer formation is dened as the difference between the associated free energy to form a trimer and the summarized two-body potential of mean forces20,22. For systems containing more than three molecules, the free energy of an aggregate containing n molecules, Wn, can be decomposed into the single-body term
Pi Fi,
the pairwise term
The estimated contact pairs are shown in Supplementary Fig. 12. Next, we need to obtain the two-body potential of mean force (dF) of a contact pair. dF can be obtained from directly computing the free energy difference by bringing a pair of monomers from innite distance to be in contact as suggested by Wanget al.21. In our study, it is challenging to directly measure dF in this way, because the smallest stable aggregate (that is the critical size plus one, according to the CNT) in experiment contains more than two molecules (see Supplementary Table 2 for details). Therefore, we estimated dF by approximating it to the pair strength in the smallest stable aggregate in a given solvent:
dF
Xnk1DDGkPn 1 13
In particular, the smallest stable aggregate (n* 1) contains 37 molecules in
the solvent with a DMSO mole fraction of 0, 0.16, 0.21, 0.26 and 0.32, respectively. DDG can be obtained from equation (7). Thus, the summarization of the two-body potential of mean force between the (n 1)th molecule and the
ith molecule in the aggregate is obtained as follows:
Xi ndFi;n1 Pn1 Pn dF Pn1 Pn
Xnk1DDGkPn 1 14
Substituting equations (7) and (14) into equation (11), we determined the hydrophobic cooperativity (Figs 1c and 3b). We note that the data reported in Figs 1c and 3b,c start from the smallest stable aggregate in the corresponding experimental condition. As our reported hydrophobic free energies at large n limit (DDGn-N) become equivalent to the free energy of transferring a HPS molecule from water to the HPS phase, this makes it possible to directly estimate the cooperativity even without performing microuidics experiments, provided that one could also obtain the pair potential of mean force (for example, from MD simulations discussed in Supplementary Note 5 and Supplementary Figs 17 and 18).
Kinetics of the hydrophobic aggregation. To resolve the kinetics of HPS aggregation, we have tracked the growth of the rst nucleus formed. Based on the theoretical model obtained previously, we derived the equation for nucleus growth as follows:
n t
n t Dt
4pDCe
3n t Dt
v
4pp
1=3
Pioj dFij and the multibody term
Pi dFi:
XidFi 9
Then, the free energy of the aggregate containing (n 1) molecules, Wn1, can be
decomposed into the single-body term Fn1
Pi2n Fi, the pairwise term
Pioj;i;j n dFij
Pi n dFi;n1 and the multibody term
Pi n 1 dFi
Pi n dFi Qn, where Qn is the excess multibody term, which is the quantity of the cooperativity in our denition. Therefore, we have
Wn1Fn1
Xi nFi Xioj ndFij Xi ndFi;n1 Xi ndFi Qn 10
After simple rearrangement, we obtained,
QnWn1 Wn Fn1
Xi ndFi;n1 DDGn Xi ndFi;n1 11
where Wn1 Wn Fn1 DDGn is the free energy change associated with
attaching a HPS monomer to an aggregate containing n molecules, and
Pi n dFi;n1 is the summarization of the two-body potential of mean force between the (n 1)th molecule and the ith molecule in the aggregate. The
cooperativity Qn dened by equation (11) can be zero (additive), negative (cooperative) or positive (anti-cooperative).
To compute the hydrophobic cooperativity as dened in equation (11), we need to obtain both DDGn and
Pi n dFi;n1. The rst term has been obtained from our experiment (Figs 1c and 3b). To compute the second term, we need to consider the potential of mean force to bring together the (n 1)th
molecule and the ith molecule in the aggregate from innite distance away to a particular distance determined by the location of ith molecule in the aggregate. If the (n 1)th molecule is in contact with the ith molecule in the
newly formed aggregate containing (n 1) molecules, the magnitude
of dFi,n 1 is signicant due to the hydrophobic interactions associated with
the desolvation between these two molecules. However, if the (n 1)th
molecule is separated from the ith molecule by other HPS molecules, their centre of mass distance is at least two nanometres (B2 diameters of HPS).
In this case, no desolvation is needed and dFi,n 1 is thus negligible.
Therefore, we only consider the contributions of these contact pairs to
Pi2n dFi;n1, and then need to estimate the number of contact pairsin the aggregate. Bezdek and Reid65 proved that the number of contact pairs in an arbitrary lattice packing of n unit balls in three-dimensional Euclidian space is always greater than (6n 7.862n2/3), but less than
(6n 3.665n2/3). To make the best estimation of contact pairs in a spherical
aggregate, we proved that the number of contact pairs in the aggregate containing n molecules is (see Supplementary Note 9 and Supplementary Fig. 24 for details):
Pn 6n 7:2n2=3 12
Wn
XiFi
XiojdFij
S t Dt
1
Dt; n 0
n 15
where n(t Dt) is the size of the aggregate at time t Dt. On the basis of
equation (15), we obtained the nucleus growth curve as shown in Supplementary Fig. 7. Then, we dened the time for attaching a HPS monomer to the aggregate as the time required for the aggregate to grow by one molecule in size, and the results are shown in Figs 1d and 3c. The nucleation-growth curve (Supplementary Fig. 7) suggests the microsecond timescale of HPS aggregation, which is comparable to the timescale of early stage protein folding. This comparison is made between similar concentration of HPS in our experiment and local concentration of residues on a protein chain. We estimated local concentrations of protein residues by computing number of residues within a distance of the protein chain length (for example, a protein domain containing 89100 residues has a chain length of 2830 nm).
The resulting local concentration of protein residues (1.31.8 mM) is comparable with our initial HPS concentration in the microuidics tube: 2.06.0 mM.
Data availability. The data that support the ndings of this study as well as the computer code for the CNT and non-CNT theories are available from the corresponding authors upon reasonable request.
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Acknowledgements
We thank Dr Lingle Wang for his critical reading of our manuscript. We acknowledge supports from National Basic Research Program of China (973 program, Grant No. 2013CB834703), Hong Kong Research Grants Council (Grant Nos. HKUST C6009-15G, AoE/P-705/16, ECS 60981, 621113, 16304215, F-HKUST605/15), and Innovation and Technology Commission (ITC-CNERC14SC01). We thank the Nanoelectronic Fabrication Facility, Biosciences Central Research Facility at HKUST and Dr Baoling Huang for providing technique support for microuidics experiments.
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ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/ncomms15639
Author contributions
L.J. and S.Y. designed and performed the experiments. S.C., L.J. and X.H. established the classical nucleation and growth model for theoretical tting and analysed tting data. C.W.T.L. and B.Z.T. synthesized HPS and helped to perform solubility measurements. All authors discussed the results and contributed to the writing of the manuscript.
Additional information
Supplementary Information accompanies this paper at http://www.nature.com/naturecommunications
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How to cite this article: Jiang, L. et al. Real-time monitoring of hydrophobic aggregation reveals a critical role of cooperativity in hydrophobic effect. Nat. Commun. 8, 15639 doi: 10.1038/ncomms15639 (2017).
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Copyright Nature Publishing Group May 2017
Abstract
The hydrophobic interaction drives nonpolar solutes to aggregate in aqueous solution, and hence plays a critical role in many fundamental processes in nature. An important property intrinsic to hydrophobic interaction is its cooperative nature, which is originated from the collective motions of water hydrogen bond networks surrounding hydrophobic solutes. This property is widely believed to enhance the formation of hydrophobic core in proteins. However, cooperativity in hydrophobic interactions has not been successfully characterized by experiments. Here, we quantify cooperativity in hydrophobic interactions by real-time monitoring the aggregation of hydrophobic solute (hexaphenylsilole, HPS) in a microfluidic mixer. We show that association of a HPS molecule to its aggregate in water occurs at sub-microsecond, and the free energy change is -5.8 to -13.6 kcal mol-1 . Most strikingly, we discover that cooperativity constitutes up to 40% of this free energy. Our results provide quantitative evidence for the critical role of cooperativity in hydrophobic interactions.
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