Accepted Manuscript Title: Relationship between the initial rate of protein aggregation and the lag period for amorphous aggregation Author: Vera A. Borzova Kira A. Markossian Boris I. Kurganov PII: DOI: Reference:

S0141-8130(14)00273-6 http://dx.doi.org/doi:10.1016/j.ijbiomac.2014.04.046 BIOMAC 4313

To appear in:

International Journal of Biological Macromolecules

Received date: Revised date: Accepted date:

7-3-2014 22-4-2014 22-4-2014

Please cite this article as: V.A. Borzova, K.A. Markossian, B.I. Kurganov, Relationship between the initial rate of protein aggregation and the lag period for amorphous aggregation, International Journal of Biological Macromolecules (2014), http://dx.doi.org/10.1016/j.ijbiomac.2014.04.046 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Relationship between the initial rate of protein aggregation and the lag period for amorphous aggregation

Vera A. Borzova, Kira A. Markossian, Boris I. Kurganov*

ip t

Bach Institute of Biochemistry, Russian Academy of Sciences, Leninsky 33, Moscow, 119071,

te

d

M

an

us

cr

Russia

Ac ce p

*Corresponding author. Bach Institute of Biochemistry, Russian Academy of Sciences, Leninsky pr. 33, Moscow, 119071, Russia. Tel.: +7 495 9525641; fax: +7 495 9542732. E-mail address: [email protected] (B.I. Kurganov).

1

Page 1 of 35

ABSTRACT Lag period is an inherent characteristic of the kinetic curves registered for protein aggregation. The appearance of a lag period is connected with the nucleation stage and the stages of the formation of folding or unfolding intermediates prone to aggregation (for example, the stage of

ip t

protein unfolding under stress conditions). Discovering the kinetic regularities essential for elucidation of the protein aggregation mechanism comprises deducing the relationship between

cr

the lag period and aggregation rate. Frändrich proposed the following equation connecting the

us

duration of the lag phase (tlag) and the aggregate growth rate (kg) in the amyloid fibrillation: kg = const/tlag. To establish the relationship between the initial rate of protein aggregation (v) and the

an

lag period (t0) in the case of amorphous aggregation, the kinetics of dithithreitol-induced aggregation of holo-α-lactalbumin from bovine milk was studied (0.1 M Na-phosphate buffer,

M

pH 6.8; 37 °C). The order of aggregation with respect to protein (n) was calculated from the dependence of the initial rate of protein aggregation on the α-lactalbumin concentration (n =

d

5.3). The following equation connecting v and t0 has been proposed: v1/n = const/(t0 - t0,lim),

Ac ce p

te

where t0,lim is the limiting value of t0 at high concentrations of the protein.

Keywords: α-Lactalbumin Amorphous aggregation Lag period Start aggregates 2

Page 2 of 35

1. Introduction

Numerous investigations are concerned with the mechanism and kinetics of the formation of amyloid-like aggregates and fibrils [1-12]. The kinetics of aggregation consists of two phases: an

ip t

initial lag phase that is slow and represents the formation of nuclei and a subsequent rapid

growth phase proceeding as a result of elongation of the preformed nuclei. A large body of data

cr

shows that there is a correlation between the aggregate growth rate (kg) and the lag period (tlag):

us

the shorter the lag period, the higher is the rate of growth, i.e., the samples that nucleate very readily and possess a short lag phase show a very rapid growth reaction. Fändrich [13] proposed

an

a simple equation connecting kg and tlag values:

kg = α/tlag ,

(1)

M

where α is a constant. The applicability of this equation for the kinetics of amyloid fibrils

formation was demonstrated by Fändrich [13] and other authors [2,14-20].

d

Screening of agents possessing anti-aggregation activity is one of the important lines of

te

modern biotechnological research. To carry on such a screening, a number of test systems have

Ac ce p

been proposed. A distinguishing characteristic of test systems, which are based on thermal aggregation of proteins or dithiothreitol (DTT)-induced aggregation of proteins containing disulphide bonds, is formation of amorphous aggregates. To elucidate the mechanism of protein aggregation in test systems under study and select the most effective agents with antiaggregation activity, an investigator should be able to apply strict quantitative methods for the estimation of the initial rate of aggregation (and lag period). For the test systems under investigation the nucleation and aggregation stages are preceded by the stage of unfolding of the protein molecule. This circumstance should be taken into account when analyzing the relationship between the initial rate of aggregation and the lag period. The goal of the present work was to establish a quantitative relationship between the initial rate of aggregation (v) and the lag period (t0) for one of the test systems used for screening of 3

Page 3 of 35

agents possessing anti-aggregation activity, namely for the test system based on DTT-induced aggregation of α-lactalbumin. The molecule of α-lactalbumin contains four disulphide bonds [21], their reduction resulting in unfolding of the protein molecule and subsequent irreversible aggregation [22-25]. In the present work the kinetics of α-lactalbumin aggregation was

ip t

registered using dynamic light scattering (DLS). It was shown that determination of the order of aggregation with respect to protein or with respect to a reducing agent (n) is essential for

cr

establishing a relationship between v and t0 values. When modifying the Fändrich equation, we

us

took into account the n value and the limiting value of t0 at high concentrations of the protein or

an

DTT.

M

2. Materials and Methods

d

2.1. Chemicals

te

α-Lactalbumin from bovine milk (catalogue no L5385; calcium-saturated) and DL-

Ac ce p

dithiothreitol (99% of purity) were purchased from Sigma-Aldrich and used without further purification. All solutions for the experiments were prepared using deionized water obtained with Easy-Pure II RF system (Barnstead, USA). α-Lactalbumin samples were prepared by dissolving solid protein in 0.1 M Na-phosphate buffer solutions at pH 6.8. α-Lactalbumin concentration was determined spectrophotometrically at 280 nm using the absorption coefficient 1% Acm of 20.1 [26].

2.2. DTT-induced aggregation of α-lactalbumin

4

Page 4 of 35

Aggregation of α-lactalbumin was studied in 0.1 M Na-phosphate, pH 6.8. Reduction of αlactalbumin was initiated by adding DTT to 0.5 mL of the sample to a final concentration of 20 mM. The experiments were performed at 37 °C.

ip t

2.3. Dynamic light scattering studies

For light scattering measurement a commercial instrument Photocor Complex (Photocor

cr

Instruments, Inc., USA) was used. An He-Ne laser (Coherent, USA, Model 31-2082, 632.8 nm,

us

10 mW) was used as a light source. DynaLS software (Alango, Israel) was used for polydisperse analysis of DLS data. The diffusion coefficient D of the particles is directly related to the decay

an

rate τc of the time-dependent correlation function for the light scattering intensity fluctuations: D = 1/2τck2. In this equation k is the wave number of the scattered light, k = (4πn/λ)sin(θ/2), where

M

n is the refractive index of the solvent, λ is the wavelength of the incident light in a vacuum and θ is the scattering angle. The mean hydrodynamic radius of the particles, Rh, can then be

te

d

calculated according to the Stokes-Einstein equation: D = kBT/6πηRh, where kB is Boltzmann’s constant, T is the absolute temperature and η is dynamic viscosity of solvent.

Ac ce p

The kinetics of DTT-induced aggregation of α-lactalbumin was studied in 0.1 M Na-

phosphate buffer at pH 6.8. The buffer was placed in a cylindrical cell with the internal diameter of 6.3 mm and preincubated for 5 min at a given temperature (37 °C). Cells with stopper were used to avoid evaporation. The aggregation process was initiated by the addition of an aliquot of DTT to a α-lactalbumin sample to the final volume of 0.5 mL. When studying the kinetics of aggregation of α-lactalbumin, the scattering light was collected at a 90° scattering angle. To analyze the time-course of the increase in the light scattering intensity (I) accompanying aggregation of α-lactalbumin, we used the approaches developed by us previously [25,27-31]. To calculate the lag period (t0) on the dependences of I value on time and to characterize the initial rate of aggregation, we used the empiric equation: I = I0 + Kagg(t – t0)2, where I0 is the

5

Page 5 of 35

initial value of the light scattering intensity and Kagg is a parameter characterizing the initial rate of aggregation. In the following parameter Kagg was replaced by v: I = I 0 + v (t − t0 ) 2 .

(2)

It should be noted that in our previous papers [25,28,32] Eq. (2) was written in the form I = I0 +

ip t

[KLS(t − t0)]2. Thus, v and KLS are connected by the following relationship: KLS = v1/2. The expanded variant of Eq. (2)

cr

I = I 0 + v {exp[K1 (t - t0 ) 2 ] - 1} K1

(3)

us

(K1 is a constant) allows us to use a wider time interval in the fitting procedure and to obtain the

an

more reliable values of parameters v and t0. It is significant that at t → t0 Eq. (3) is transformed into Eq. (2).

M

If the values of the initial rate of aggregation (v) are determined at various initial concentrations of the protein ([P]0), the order of aggregation with respect to protein (n) can be

d

calculated:

(4)

te

v = kn [P]0n ,

where kn is a constant. To determine the n value from the experimental data, the logarithmic

Ac ce p

coordinates {log(v); log([P]0)} can be used [30]: log(v) = log(kn ) + nlog([P]0 ) .

(5)

The following equation can be used for the description of the initial part of the dependence

of the hydrodynamic radius (Rh) of the protein aggregates on time [25,33,34]:

⎡ ln(2) ⎤ ⎪⎫ ⎪⎧ Rh = Rh,0 ⎨exp ⎢ (t − t0 ) ⎥ ⎬ , ⎣ t2R ⎦ ⎭⎪ ⎩⎪

(6)

where t0 is the moment of time at which the start aggregates with Rh = Rh,0 emerge, and t2R is the time interval over which the Rh value is doubled (i.e., Rh = 2Rh,0 at t = t0 + t2R). With the knowledge of parameter t0, we can then calculate parameters Rh,0 and t2R. The reciprocal value of t2R can be considered as a measure of the rate of the aggregation process.

6

Page 6 of 35

2.4. Calculations

Origin 8.0 (OriginLab Corporation, USA) software was used for the calculations. To

ip t

characterize the degree of agreement between the experimental data and calculated values, we

cr

used the coefficient of determination R2 [35].

us

3. Results

an

Fig. 1A shows the kinetic curves of DTT-induced aggregation of α-lactalbumin at 37 °C registered by the increment in the light scattering intensity (I). The concentration of α-

M

lactalbumin was varied in the interval of 0.4-1.0 mg mL-1. The initial parts of the kinetic curves were analyzed using Eq. (3), which allows determining the initial rate of aggregation (v) and the

d

lag period (t0). The applicability of Eq. (3) is demonstrated on the inset in Fig.1A ([α-

te

lactalbumin = 0.4 mg mL-1]). The following values of parameters were derived from the

Ac ce p

experimental curve: v = (24 ± 2) (counts/s) min-2 and t0 = 27.0 ± 0.2 min (R2 = 0.999). The values of v and t0 obtained at various concentrations of α-lactalbumin are given in Table 1. As it can be seen from Table 1, the increase in α-lactalbumin concentration is accompanied by the increase in the v value with simultaneous decrease in the lag period (t0). [Table 1 to be inserted here]

The measurements of the hydrodynamic radius (Rh) of the protein aggregates by DLS shows

that the increment in the light scattering intensity is due to the enlargement of the particles under study (Fig. 1B). The initial parts of the dependences of Rh on time allow us to calculate parameters Rh,0 (the hydrodynamic radius of the start aggregates ) and t2R. The following values of parameters were found at [α-lactalbumin] = 0.4 mg mL-1 (see the inset in Fig. 1B): Rh,0 = 36 ± 3 nm and t2R = 5.7 ± 0.4 min (R2 = 0.897). The values of Rh,0 and t2R obtained at various 7

Page 7 of 35

concentrations of α-lactalbumin are given in Table 1. The increase in the protein concentration in the interval from 0.4 to 1.0 mg mL-1 is accompanied by a slight decrease in the Rh value from 36 to 24 nm and 6.2-fold increase in the 1/t2R value, which characterizes the initial rate of

[Fig. 1 to be inserted here]

ip t

aggregation.

In the case of thermal aggregation of creatine kinase from rabbit skeletal muscle the

cr

correlation between parameter KLS (KLS = v1/2) and 1/t2R value has been demonstrated [28]. It is

us

evident from Fig. 2 that such a correlation is also fulfilled for DTT-induced aggregation of αlactalbumin (R2 = 0.908).

an

[Fig. 2 to be inserted here]

To determine the order of aggregation (n) with respect to the protein, the dependence of the

M

initial rate (v) on the concentration of α-lactalbumin was constructed in the logarithmic coordinates (Fig. 3). The dependence of log([α-lactalbumin]) on log(v) is linear and the

d

following values of parameters of kn and n have been found: n = 5.3 ± 0.3 and kn = (3.3 ±

te

1.0)×104 (counts/s) min-2 (mg mL-1)-n (R2 = 0.965).

Ac ce p

[Fig. 3 to be inserted here]

Before proceeding to the relationship between the initial rate of α-lactalbumin aggregation

and lag period it is expedient to discuss the dependence of t0 value on α-lactalbumin concentration. As it can be seen from Fig. 4, the value of t0 is a linear function of the reciprocal value of the protein concentration. Thus, the following equation can be used for description of the dependence of t0 on [α-lactalbumin]: t0 = t0,lim + K [P]0 ,

(7)

where t0,lim is the limiting value of t0 at [α-lactalbumin] → ∞ and K is a constant. The following values of t0,lim and K were found: t0,lim = 6.0 ± 0.5 min and K = 8.0 ± 0.7 min mg mL-1 (R2 = 0.920).

8

Page 8 of 35

[Fig. 4 to be inserted here] Taking into account Eqs. (4) and (7), we can obtain the following expression describing the relationship between the initial rate of aggregation and the lag period: v1/n = α (t0 − t0,lim ) ,

(8)

ip t

where α is a constant (α = K(kn)1/n). This equation can be linearized in the coordinates {1/v1/n;

cr

t0}:

(9)

us

t 1 1 = − 0,lim + t0 . 1/n v α α

The length cut off on the abscissa axis by the linear dependence of 1/v1/n on t0 corresponds to

an

t0,lim value.

In Fig. 5A the v1/n value is plotted as a function of t0. Solid curve was calculated from Eq. (8)

M

at n = 5.3, t0,lim = 6 min and α = 58 min [(counts/s) min-2]1/n. The dotted vertical line corresponds to t0 = t0,lim. Fig. 5B shows a linear anamorphosis corresponding to Eq. (9). Thus, the

te

value to zero.

d

construction of the 1/v1/n versus t0 plot allows us to check whether it is possible to set the t0,lim

Ac ce p

[Fig. 5 to be inserted here]

The kinetics of DTT-induced aggregation of α-lactalbumin is affected not only by α-

lactalbumin concentration but also by DTT (a reducing agent) concentration. Therefore it was of interest to check the validity of Eq. (8) in a situation where variation of DTT concentration causes the change in the aggregation rate. Fig. 6A shows the kinetic curves of aggregation obtained at fixed concentration of α-lactalbumin (0.7 mg/ml) and various concentrations of DTT. The initial rate of aggregation (v) versus DTT concentration plot constructed in logarithmic coordinates allows determining order of aggregation (n) with respect to DTT (Fig. 6B). The n value was found to be 0.45 ± 0.05. One can expect that order of aggregation with respect to DTT will vary from unity at relatively low DTT concentrations to zero at relatively high DTT concentrations. The obtained value of n (n = 0.45) can be considered as a constant value suitable 9

Page 9 of 35

for use in given operating range of DTT concentrations. Analysis of the dependences of the hydrodynamic radius of the protein aggregates on time shows that the Rh value for the start aggregates (Rh,0) is slightly changed with increasing DTT concentration: from 22 ± 2 nm at [DTT] = 7 mM to 29 ± 4 at [DTT] = 40 mM. As in the case with variation of α-lactalbumin

ip t

concentration, the dependence of the lag period on the reciprocal concentration of DTT is linear (Fig. 6C) and the length cut off on the ordinate axis by the linear dependence of t0 on 1/[DTT]

cr

corresponds to the limiting value of t0 (t0,lim) which is reached at [DTT] → ∞. The linear

us

character of the dependence of 1/v1/n on t0 (Fig. 6D) supports satisfiability of linear anamorphosis represented by Eq. (9). Paramerer α was found to be 2.3×109 min [(counts/s) min-2]1/n. Thus, Eq.

an

(8) describing the relationship between the initial rate of aggregation and lag period can be used, irrespective of whether concentration of α-lactalbumin or DTT is varied.

M

[Fig. 6 to be inserted here]

te

d

4. Discussion

Ac ce p

As in the case of apo-α-lactalbumin [25], the results of the study of holo-α-lactalbumin DTT-induced aggregation shows that, aggregation proceeds through the stage of formation of start aggregates. The moment of time t = t0 (t0 is the lag period) corresponds to the emergence of the start aggregates. When studying DTT-induced aggregation of apo-α-lactalbumin, the average value of the hydrodynamic radius of the start aggregates was found to be 93 nm (50 mM sodium phosphate buffer, pH 6.8, containing 0.15 M NaCl and 1 mM EGTA; 37 °C) [25]. Smaller values of Rh,0 were obtained for aggregation of more stable form of α-lactalbumin, namely holo-αlactalbumin (Rh,0 = 22-36 nm). It should be noted that the mechanism of protein aggregation involving formation of the start aggregates with the hydrodynamic radius of several tens of nanometers was demonstrated for

10

Page 10 of 35

DTT-induced aggregation of insulin [36] and thermal aggregation of a broad range of proteins [28,33,34,37-44]. Analysis of the dependence of the initial rate of aggregation on protein concentration allows determining the order of aggregation with respect to protein (n). In the event that n = 1, the rate-

ip t

limiting stage of the aggregation process is the stage of protein unfolding. If n > 1, we may conclude that the rate-limiting stage of the aggregation process is the stage of nucleation or

cr

aggregation of unfolded protein molecules. For example, when studying thermal aggregation of

us

intact and UV-irradiated glyceraldehyde 3-phosphate dehydrogenase (GAPDH; EC 1.2.1.12), we showed that n = 1 for the intact protein and n = 2 for the UV-irradiated protein [45]. UV

an

irradiation induces denaturation of GAPDH, and, consequently, aggregation of UV-irradiated GAPDH does not contain the stage of protein unfolding. As it could have been expected, the

M

order of aggregation with respect to protein for UV-irradiated GAPDH exceeds unity. In some cases non integer values of the order of aggregation with respect to protein were

d

obtained. For example, in the case of DTT-induced aggregation of bovine serum albumin (BSA)

te

n is equal to 1.6 [29]. The reason for the appearance of non integer values of n can be the

Ac ce p

following. Strictly speaking, if the measurements of the order of aggregation with respect to protein were carried out in the wide interval of the protein concentration, the n value should decrease from n = 2 at relatively low [P]0 values to n = 1 at high [P]0 values. Jain and Udgaonkar [46] studied fibrillation of mouse prion protein at pH 2 in the presence of 0.15 M NaCl. The dependence of the observed rate of fibrillation on protein concentration suggested that aggregate growth was rate-limiting at low protein concentration and that conformational change, which was independent of protein concentration, became rate-limiting at higher protein concentrations. Since usually there are limitations in the selection of operating range of protein concentrations, the experimentally determined order of aggregation with respect to protein can accept non integer values. However, it is precisely these n values that should be used for analysis of

11

Page 11 of 35

aggregation kinetics (analysis of the relationship between the initial rate of aggregation and lag period, estimation of the anti-aggregation activity of chaperones and so on). The order of aggregation with respect to protein for apo-α-lactalbumin was found to be 5.9 ± 0.4 (the data obtained by Bumagina et al. [25] were analyzed in [30]). A similar value of n was

ip t

obtained for holo-α-lactalbumin in the present work (n = 5.3 ± 0.3). The fact that the value of parameter n exceeds unity is indicative of the involvement of several unfolded protein molecules

cr

in the nucleation process.

us

As it can be seen from Eq. (8), determination of the order of aggregation with respect to protein is essential for establishing a relationship between the v and t0 values. Another distinctive

an

feature of Eq. (8) in comparison with Eq. (1) is the emergence of parameter t0,lim in the denominator. It is evident that the emergence of parameter t0,lim is connected with the stages of

M

reduction of the disulphide bonds in the α-lactalbumin molecule and unfolding of the protein molecule, which proceed before the nucleation and aggregation stages.

d

When studying DTT-induced aggregation of BSA at 45 °C (0.1 M Na-phosphate, pH 7.0; 2

te

mM DTT) [29], we observed that the lag period (t0) approaches the limiting value at sufficiently

Ac ce p

high concentrations of BSA. As in the case of DTT-induced aggregation of α-lactalbumin, the t0,lim value for DTT-induced aggregation of BSA corresponds to the stages of reduction of the disulphide bonds in the BSA molecule and unfolding of the protein. The order of aggregation with respect to protein (n) was found to be 1.60 ± 0.05. The analogous kinetic regularities are observed for thermal aggregation of proteins. Consider

for example the experimental data on thermal aggregation of yeast alcohol dehydrogenase (50 mM Na-phosphate buffer, pH 7.5, 100 mM NaCl; 56 °C) [43]. The initial parts of the dependences of the light scattering intensity on time were analyzed using Eq. (2). The order of aggregation with respect to protein calculated from the log(v) versus log([P]0) plot was found to be 2.1 ± 0.1. One can assume that the rate-limiting stage of the aggregation process is the stage of protein aggregation. The t0 value decreases with increasing protein concentration, and the 12

Page 12 of 35

limiting value of t0 (t0,lim) obtained by extrapolation to infinitely high concentrations of the protein is equal to 12.4 ± 0.1 min. Thus, when analyzing the relationship between the initial rate of protein aggregation and the lag period for thermal or DTT-induced aggregation of proteins, one should take into account that there is a lower limit for the t0 values.

ip t

The kinetics of protein aggregation can be modulated by low-molecular-weight chemical chaperones [47-53]. It was demonstrated in [29] that the decrease in the initial rate of DTT-

cr

induced aggregation of BSA (v/v0) in the presence of chemical chaperones (arginine, arginine

us

ethylester, arginine amide and proline) was accompanied by an increase in the lag period (t0). Fig. 7A shows the relationship between the v/v0 and t0 values. The t0 value in the absence of the

an

additives, i.e., at v/v0 = 1, was found to be 4.5 min (this value of t0 was designated as an initial lag period, t0,in). In these experiments the fixed concentration of BSA (1 mg mL-1) was used. By

M

analogy with Fig. 5B we decided to construct the reciprocal value of the relative initial rate of aggregation (i.e., 1/(v/v0)) versus t0. We set the n value equal to unity, because the shape of the

d

dependence of the initial rate of aggregation on the concentration of a chemical chaperone is

te

independent of the protein concentration [29]. Then we subtracted unity from the 1/(v/v0) value,

Ac ce p

so that the ordinate of the initial point at t0 = t0,in was equal to zero. Thus, we constructed the [1/(v/v0)] − 1 = (v0 − v)/v versus t0 plot. Fig. 7B shows that this plot is linear. The coefficient of determination (R2) was found to be 0.828. Thus, the following linear anamorphosis can be used to describe the relationship between the initial rate of aggregation and the lag period in the case of chemical chaperones:

t v0 − v 1 = − 0,in + t0 , v β β

(10)

where β is a constant. The length cut off on the abscissa axis corresponds to the t0,in value. The β value was found to be 5.6 ± 0.3 min. [Fig. 7 to be inserted here] Eq. (10) can be transformed as follows:

13

Page 13 of 35

v 1 . = v0 1 + (t0 − t0,in ) β

(11)

This equation can be used for description of the coordinated changes in the initial rate of aggregation and the lag period in the presence of chemical chaperones.

ip t

One of the classes of agents used as chemical chaperones is cyclodextrins and their derivatives, which effectively suppress protein aggregation [28,45,54-56]. However with some

cr

test systems cyclodextrins reveal anti-chaperone activity. The acceleration of the aggregation

us

process in the presence of 2-hydroxypropyl-β-cyclodextrin (HP-β-CD) was observed in test systems based on thermal aggregation of GAPDH and glycogen phosphorylase b from rabbit

an

skeletal muscles [32,57,58]. Such an effect of HP-β-CD is due to the destabilization of the protein molecule upon binding this agent, as indicated by the data on differential scanning

M

calorimetry. An increase in the initial rate of aggregation in the presence of HP-β-CD is accompanied by the decrease in the lag period. As it was expected, the lag period (t0) approached

d

the limiting value (t0,lim) at high concentrations of HP-β-CD. To demonstrate this fact, Fig. 8A

te

shows the dependence of the t0 value on the HP-β-CD concentration in the coordinates {t0;

Ac ce p

1/[HP-β-CD]}. This plot was constructed on the basis of the experimental data obtained for thermal aggregation of GAPDH [32]. The length cut off on the ordinate axis by the linear dependence of t0 on 1/[HP-β-CD] corresponds to the t0,lim value (t0,lim = 1.56 ± 0.02 min). The relationship between the relative initial rate of aggregation (v/v0) and lag period (t0) is represented in Fig. 8B. The dependence of v/v0 on t0 asymptotically approaches vertical line at t0 = t0,lim, as the HP-β-CD concentration increases. To describe the dependence of v/v0 on t0, the following empiric equation can be used: 1/ 2

v ⎛ t0,in − t0,lim ⎞ =⎜ ⎟ , v0 ⎜⎝ t0 − t0,lim ⎟⎠

(12)

where t0,in is the t0 value in the absence of HP-β-CD. [Fig. 8 to be inserted here]

14

Page 14 of 35

Conclusions

Establishing quantitative relationships between the initial rate of aggregation and the lag

ip t

period extends the methodology of quantification of anti-aggregation activity of chaperones (chaperones of protein nature and the chemical chaperones). This methodology has been

cr

developed in our previous works [29-31,59]. In the case of protein chaperones the adsorption

us

capacity of chaperone with respect to target protein is used as a measure of the anti-aggregation activity of the chaperone. For chemical chaperones the concentration of semi-saturation is used

an

as a characteristic of the anti-aggregation activity of the chaperone. Methods of estimation of the effects of combined action of protein chaperones and chemical chaperones have been proposed.

M

This methodology also involves test systems based on registration of protein aggregation under the regime of temperature elevating with a constant rate [29,60]. Implementation of this

d

methodology allows comparing the anti-aggregation activity of different chaperones and can be

Ac ce p

te

used for selecting agents that provide effective suppression of protein aggregation.

Acknowledgements

This study was funded by the Russian Foundation for Basic Research (grant 14-04-01530-a)

and the Program “Molecular and Cell Biology” of the Presidium of the Russian Academy of Sciences.

15

Page 15 of 35

References

[1]

F. Chiti, C.M. Dobson, Protein misfolding, functional amyloid, and human disease, Annu. Rev. Biochem. 75 (2006) 333-366. T.P. Knowles, C.A. Waudby, G.L. Devlin, S.I. Cohen, A. Aguzzi, M. Vendruscolo, E.M.

ip t

[2]

Terentjev, M.E. Welland, C.M. Dobson, An analytical solution to the kinetics of

A.M. Morris, M.A. Watzky, R.G. Finke, Protein aggregation kinetics, mechanism, and

us

[3]

cr

breakable filament assembly, Science 326 (2009) 1533-1537.

curve-fitting: A review of the literature, Biochim. Biophys. Acta 1794 (2009) 375-397. R. Cabriolu, S. Auer, Amyloid fibrillation kinetics: insight from atomistic nucleation

an

[4]

theory, J. Mol. Biol. 411 (2011) 275-285.

S.I. Cohen, M. Vendruscolo, M.E. Welland, C.M. Dobson, E.M. Terentjev, T.P.

M

[5]

Knowles, Nucleated polymerization with secondary pathways. I. Time evolution of the

S.I. Cohen, M. Vendruscolo, C.M. Dobson, T.P. Knowles, Nucleated polymerization with

te

[6]

d

principal moments, J. Chem. Phys. 135 (2011) 065105.

Ac ce p

secondary pathways. II. Determination of self-consistent solutions to growth processes described by non-linear master equations, J. Chem. Phys. 135 (2011) 065106.

[7]

F. Baftizadeh, X. Biarnes, F. Pietrucci, F. Affinito, A. Laio, Multidimensional view of

amyloid fibril nucleation in atomistic detail, J. Am. Chem. Soc. 134 (2012) 3886-3894.

[8]

D. Kashchiev, R. Cabriolu, S. Auer, Confounding the paradigm: peculiarities of amyloid

fibril nucleation, J. Am. Chem. Soc. 135 (2013) 1531-1539.

[9]

D. Kashchiev, Protein fibrillation due to elongation and fragmentation of initially appeared fibrils: a simple kinetic model, J. Chem. Phys. 139 (2013) 105-103.

[10]

J.E. Gillam, C.E. MacPhee, Modelling amyloid fibril formation kinetics: mechanisms of nucleation and growth, J. Phys. Condens. Matter 25 (2013) 373101.

16

Page 16 of 35

[11]

S.I.A. Cohen, M. Vendruscolo, C.M. Dobson, T.P.J. Knowles, The kinetics and mechanisms of amyloid formation, in: Amyloid Fibrils and Prefibrillar Aggregates: Molecular and Biological Properties, Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany, 2013, pp. 183-209. A.T. Sabareesan, J.B. Udgaonkar, Amyloid fibril formation by the chain B subunit of

ip t

[12]

monellin occurs by a nucleation-dependent polymerization mechanism, Biochemistry 53

M. Fändrich, Absolute correlation between lag time and growth rate in the spontaneous

us

[13]

cr

(2014) 1206-1217.

formation of several amyloid-like aggregates and fibrils, J. Mol. Biol. 365 (2007) 1266-

[14]

an

1270.

K. Klement, K. Wieligmann, J. Meinhardt, P. Hortschansky, W. Richter, M. Fändrich,

M

Effect of different salt ions on the propensity of aggregation and on the structure of Alzheimer's abeta(1-40) amyloid fibrils, J. Mol. Biol. 373 (2007) 1321-1333. J. Meinhardt, G.G. Tartaglia, A. Pawar, T. Christopeit, P. Hortschansky, V. Schroeckh,

d

[15]

te

C.M. Dobson, M. Vendruscolo, M. Fandrich, Similarities in the thermodynamics and

Ac ce p

kinetics of aggregation of disease-related Abeta(1-40) peptides, Protein Sci. 16 (2007) 1214-1222.

[16]

G.W. Platt, K.E. Routledge, S.W. Homans, S.E. Radford, Fibril growth kinetics reveal a

region of beta2-microglobulin important for nucleation and elongation of aggregation, J. Mol. Biol. 378 (2008) 251-263.

[17]

R. Sabate, V. Castillo, A. Espargaro, S.J. Saupe, S. Ventura, Energy barriers for HET-s

prion forming domain amyloid formation, FEBS J. 276 (2009) 5053-5064. [18]

S. Auer, D. Kashchiev, Insight into the correlation between lag time and aggregation rate in the kinetics of protein aggregation, Proteins 78 (2010) 2412-2416.

17

Page 17 of 35

[19]

R. Sabate, A. Villar-Pique, A. Espargaro, S. Ventura, Temperature dependence of the aggregation kinetics of Sup35 and Ure2p yeast prions, Biomacromolecules 13 (2012) 474-483.

[20]

R.J. Woods, J. Alarcon, E. McVey, R.J. Pettis, Intrinsic fibrillation of fast-acting insulin

[21]

T.C. Vanaman, K. Brew, R.L. Hill, The disulfide bonds of bovine alpha-lactalbumin, J.

cr

Biol. Chem. 245 (1970) 4583-4590.

R.A. Lindner, A. Kapur, J.A. Carver, The interaction of the molecular chaperone, alpha-

us

[22]

ip t

analogs, J. Diabetes Sci. Technol. 6 (2012) 265-276.

crystallin, with molten globule states of bovine alpha-lactalbumin, J. Biol. Chem. 272

[23]

an

(1997) 27722-27729.

J.A. Carver, R.A. Lindner, C. Lyon, D. Canet, H. Hernandez, C.M. Dobson, C. Redfield,

M

The interaction of the molecular chaperone alpha-crystallin with unfolding alpha-

827.

F.A. Bettelheim, Kinetics of chaperoning of dithiothreitol-denatured alpha-lactalbumin

te

[24]

d

lactalbumin: a structural and kinetic spectroscopic study, J. Mol. Biol. 318 (2002) 815-

Ac ce p

by alpha-crystallin, Int. J. Biol. Macromol. 30 (2002) 161-169. [25]

Z.M. Bumagina, B.Y. Gurvits, N.A. Artemova, K.O. Muranov, I.K. Yudin, B.I.

Kurganov, Mechanism of suppression of dithiothreitol-induced aggregation of bovine αlactalbumin by α-crystallin, Biophys. Chem. 146 (2010) 108-117.

[26]

M.J. Kronman, R.E. Andreotti, Inter- and intramolecular interactions of alpha-

lactalbumin. I. The apparent heterogeneity at acid pH, Biochemistry 3 (1964) 1145-1151.

[27]

B.I. Kurganov, Kinetics of heat aggregation of proteins, Biochemistry (Mosc) 63 (1998) 364-366.

[28]

O.I. Maloletkina, K.A. Markossian, L.V. Belousova, S.Y. Kleimenov, V.N. Orlov, V.F. Makeeva, B.I. Kurganov, Thermal stability and aggregation of creatine kinase from rabbit

18

Page 18 of 35

skeletal muscle. Effect of 2-hydroxypropyl-beta-cyclodextrin, Biophys. Chem. 148 (2010) 121-130. [29]

V.A. Borzova, K.A. Markossian, D.A. Kara, N.A. Chebotareva, V.F. Makeeva, N.B. Poliansky, K.O. Muranov, B.I. Kurganov, Quantification of anti-aggregation activity of

ip t

chaperones: a test-system based on dithiothreitol-induced aggregation of bovine serum albumin, PLoS One 8 (2013) e74367.

B.I. Kurganov, Antiaggregation activity of chaperones and its quantification,

cr

[30]

[31]

us

Biochemistry (Mosc) 78 (2013) 1554-1566.

B.I. Kurganov, How to quantify the chaperone-like (anti-aggregation) activity? Biochem.

[32]

an

Anal. Biochem. 2 (2013) e136.

O.I. Maloletkina, K.A. Markossian, R.A. Asryants, P.I. Semenyuk, V.F. Makeeva, B.I.

M

Kurganov, Effect of 2-hydroxypropyl-beta-cyclodextrin on thermal inactivation, denaturation and aggregation of glyceraldehyde-3-phosphate dehydrogenase from rabbit

H.A. Khanova, K.A. Markossian, B.I. Kurganov, A.M. Samoilov, S.Y. Kleimenov, D.I.

te

[33]

d

skeletal muscle, Int. J. Biol. Macromol. 46 (2010) 487-492.

Ac ce p

Levitsky, I.K. Yudin, A.C. Timofeeva, K.O. Muranov, M.A. Ostrovsky, Mechanism of chaperone-like activity. Suppression of thermal aggregation of betaL-crystallin by alphacrystallin, Biochemistry 44 (2005) 15480-15487.

[34]

N.V. Golub, K.A. Markossian, M.V. Sholukh, K.O. Muranov, B.I. Kurganov, Study of

kinetics of thermal aggregation of mitochondrial aspartate aminotransferase by dynamic light scattering: protective effect of alpha-crystallin, Eur. Biophys. J. 38 (2009) 547-556.

[35]

Scientist for Experimental Data Fitting. Microsoft Windows Version 2.0, MicroMath, Inc., Salt Lake City, 1995.

[36]

Z. Bumagina, B. Gurvits, N. Artemova, K. Muranov, B. Kurganov, Paradoxical acceleration of dithiothreitol-induced aggregation of insulin in the presence of a chaperone, Int. J. Mol. Sci. 11 (2010) 4556-4579.

19

Page 19 of 35

[37]

K.A. Markossian, H.A. Khanova, S.Y. Kleimenov, D.I. Levitsky, N.A. Chebotareva, R.A. Asryants, V.I. Muronetz, L. Saso, I.K. Yudin, B.I. Kurganov, Mechanism of thermal aggregation of rabbit muscle glyceraldehyde-3-phosphate dehydrogenase, Biochemistry 45 (2006) 13375-13384. K.A. Markossian, B.I. Kurganov, D.I. Levitsky, H.A. Khanova, N.A. Chebotareva, A.M.

ip t

[38]

Samoilov, T.B. Eronina, N.V. Fedurkina, L.G. Mitskevich, A.V. Merem’yanin, S.Y.

cr

Kleymenov, V.F. Makeeva, V.I. Muronets, I.N. Naletova, I.N. Shalova , R.A. Asryants,

us

E.V. Schmalhausen, L. Saso, Y.V. Panyukov, E.N. Dobrov, I.K. Yudin, A.C. Timofeeva, K.O. Muranov, M.A. Ostrovsky, Mechanisms of chaperone-like activity, in: T.R.

an

Obalinsky (Ed.), Protein Folding: New Research, Nova Science Publishers Inc., NY, 2006, pp. 89-171.

N. Golub, A. Meremyanin, K. Markossian, T. Eronina, N. Chebotareva, R. Asryants, V.

M

[39]

Muronets, B. Kurganov, Evidence for the formation of start aggregates as an initial stage

Y. Panyukov, I. Yudin, V. Drachev, E. Dobrov, B. Kurganov, The study of amorphous

te

[40]

d

of protein aggregation, FEBS Lett. 581 (2007) 4223-4227.

Ac ce p

aggregation of tobacco mosaic virus coat protein by dynamic light scattering, Biophys. Chem. 127 (2007) 9-18.

[41]

A.V. Meremyanin, T.B. Eronina, N.A. Chebotareva, B.I. Kurganov, Kinetics of thermal

aggregation of glycogen phosphorylase b from rabbit skeletal muscle. Mechanism of protective action of alpha-crystallin, Biopolymers 89 (2008) 124-134.

[42]

K.A. Markossian, N.V. Golub, S.Y. Kleymenov, K.O. Muranov, M.V. Sholukh, B.I.

Kurganov, Effect of α-crystallin on thermostability of mitochondrial aspartate aminotransferase, Int. J. Biol. Macromol. 44 (2009) 441-446. [43]

K.A. Markossian, N.V. Golub, H.A. Khanova, D.I. Levitsky, N.B. Poliansky, K.O. Muranov, B.I. Kurganov, Mechanism of thermal aggregation of yeast alcohol

20

Page 20 of 35

dehydrogenase I. Role of intramolecular chaperone, Biochim. Biophys. Acta 1784 (2008) 1286-1293. [44]

S. Tomita, H. Yoshikawa, K. Shiraki, Arginine controls heat-induced cluster-cluster aggregation of lysozyme at around the isoelectric point, Biopolymers 95 (2011) 695-701. O.I. Maloletkina, K.A. Markossian, N.A. Chebotareva, R.A. Asryants, S.Y. Kleymenov,

ip t

[45]

N.B. Poliansky, K.O. Muranov, V.F. Makeeva, B.I. Kurganov, Kinetics of aggregation of

cr

UV-irradiated glyceraldehyde-3-phosphate dehydrogenase from rabbit skeletal muscle.

us

Effect of agents possessing chaperone-like activity, Biophys. Chem. 163-164 (2012) 1120.

S. Jain, J.B. Udgaonkar, Evidence for stepwise formation of amyloid fibrils by the mouse

an

[46]

prion protein, J. Mol. Biol. 382 (2008) 1228-1241.

K. Shiraki, M. Kudou, S. Nishikori, H. Kitagawa, T. Imanaka, M. Takagi, Arginine

M

[47]

271 (2004) 3242-3247.

K. Shiraki, M. Kudou, R. Sakamoto, I. Yanagihara, M. Takagi, Amino acid esters prevent

te

[48]

d

ethylester prevents thermal inactivation and aggregation of lysozyme, Eur. J. Biochem.

Ac ce p

thermal inactivation and aggregation of lysozyme, Biotechnol. Prog. 21 (2005) 640-643. [49]

H. Hamada, K. Shiraki, L-Argininamide improves the refolding more effectively than L-

arginine, J. Biotechnol. 130 (2007) 153–160.

[50]

T. Matsuoka, S. Tomita, H. Hamada, K. Shiraki, Amidated amino acids are prominent

additives for preventing heat-induced aggregation of lysozyme, J. Biosci. Bioeng. 103 (2007) 440-443.

[51]

T. Matsuoka, H. Hamada, K. Matsumoto, K. Shiraki, Indispensable structure of solution additives to prevent inactivation of lysozyme for heating and refolding, Biotechnol. Prog. 25 (2009) 1515-1524.

[52]

H. Hamada, T. Arakawa, K. Shiraki, Effect of additives on protein aggregation, Curr. Pharm. Biotechnol. 10 (2009) 400-407.

21

Page 21 of 35

[53]

S. Sharma, S. Sarkar, S.S. Paul, S. Roy, K. Chattopadhyay, A small molecule chemical chaperone optimizes its unfolded state contraction and denaturant like properties, Sci. Rep. (2013) doi: 10.1038/srep03525.

[54]

H.S. Samra, F. He, A. Bhambhani, J.D. Pipkin, R. Zimmerer, S.B. Joshi, C.R. Middaugh,

ip t

The effects of substituted cyclodextrins on the colloidal and conformational stability of selected proteins, J. Pharm. Sci. 99 (2010) 2800-2818.

T. Serno, R. Geidobler, G. Winter, Protein stabilization by cyclodextrins in the liquid and

cr

[55]

[56]

us

dried state, Adv. Drug Deliv. Rev. 63 (2011) 1086-10106.

H. Rajabzadeh, D. Nourouzian, H.H. Alijanvand, A. Divsalar, J. Badraghi, A. Barzegar,

an

M. Monajjemia, K. Zarea, N. Sheibani, A.A. Saboury, A.A. Moosavi-Movahedi, Kinetic stabilization of lysozyme upon interactions with beta-cyclodextrin through partial

[57]

M

unfolding, J. Iran. Chem. Soc. 8 (2011) 553-561.

O.I. Maloletkina, K.A. Markosyan, R.A. Asriyants, V.N. Orlov, B.I. Kurganov,

T.B. Eronina, N.A. Chebotareva, S.Y. Kleymenov, S.G. Roman, V.F. Makeeva, B.I.

Ac ce p

[58]

te

199-201.

d

Antichaperone activity of cyclodextrin derivatives, Dokl. Biochem. Biophys. 427 (2009)

Kurganov, Effect of 2-hydroxypropyl-beta-cyclodextrin on thermal stability and aggregation of glycogen phosphorylase b from rabbit skeletal muscle, Biopolymers 93 (2010) 986-993.

[59]

T.B. Eronina, N.A. Chebotareva, S.G. Roman, S.Y. Kleymenov, V.F. Makeeva, N.B.

Poliansky, K.O. Muranov, B.I. Kurganov, Thermal denaturation and aggregation of apoform of glycogen phosphorylase b. Effect of crowding agents and chaperones, Biopolymers 101 (2014) 504–516.

[60]

B.I. Kurganov, Thermal denaturation and aggregation assays in analytical biochemistry, Biochem. Anal. Biochem. 2 (2013) e143.

22

Page 22 of 35

Figure captions

Fig. 1. Kinetics of DTT-induced aggregation of α-lactalbumin at 37 °C in 0.1 M Na-phosphate,

pH 6.8. The final concentration of DTT was 20 mM. (A) The dependences of light scattering

ip t

intensity on time. The concentrations of α-lactalbumin were as follows: (1) 0.4, (2) 0.5, (3) 0.7 and (4) 1.0 mg mL-1. The inset shows the initial part of the kinetic curve at [α-lactalbumin] = 0.4

cr

mg mL-1. Points are the experimental data. Solid curve was calculated from Eq. (3) at v = 24

us

(counts/s) min-2, t0 = 27 min and K1 = 3.6 min-2. The arrow corresponds to the moment of time t = t0. (B) The dependences of hydrodynamic radius (Rh) of the protein aggregates on time. The

an

concentrations of α-lactalbumin were as follows: (1) 0.4, (2) 0.65, (3) 0.7 and (4) 1.0 mg mL-1. The inset shows the initial part of the dependence of Rh on time at [α-lactalbumin] = 0.4 mg mL. Points are the experimental data. Solid curve was calculated from Eq. (6) at Rh,0 = 36 nm and

M

1

d

t2R = 5.7 min.

te

Fig. 2. Correlation between v1/2 value (v was calculated from the dependences of light scattering

Ac ce p

intensity on time) and 1/t2R value calculated from the dependences of Rh on time for DTTinduced aggregation of α-lactalbumin at 37 °C.

Fig. 3. Determination of the order of aggregation with respect to protein (n). The dependence of

the initial rate (v) of DTT-induced aggregation of α-lactalbumin on the protein concentration in logarithmic coordinates.

Fig. 4. Dependence of the lag period (t0) on the reciprocal value of α-lactalbumin concentration.

Fig. 5. Relationship between the initial rate (v) of DTT-induced aggregation of α-lactalbumin

and the lag period (t0). The experimental data are represented in coordinates {v1/n; t0} (A) and 23

Page 23 of 35

coordinates {1/v1/n; t0} (B). The solid curve in panel A was calculated from Eq. (8) at n = 5.3, t0,lim = 6.0 and α = 58 min [(counts/s) min-2]1/n.

Fig. 6. Kinetics of DTT-induced aggregation of α-lactalbumin (0.7 mg/ml) studied at various

ip t

concentrations of DTT. (A) The dependences of the light scattering intensity on time obtained at the following concentrations of DTT: (1) 7, (2) 10, (3) 12, (4) 15, (5) 20, (6) 25 and (7) 40 mM.

cr

(B) The dependence of the initial rate (v) of DTT-induced aggregation of α-lactalbumin on DTT

us

concentration in logarithmic coordinates. (C) Dependence of the lag period (t0) on the reciprocal value of DΤΤ concentration. (D) Relationship between the initial rate (v) of DTT-induced

an

aggregation of α-lactalbumin and the lag period (t0). The experimental data are represented in

M

coordinates {1/v1/n; t0}.

Fig. 7. Relationship between the relative initial rate (v/v0) of DTT-induced aggregation of BSA

d

and the lag period (t0). The changes in v/v0 and t0 values are due to suppression of DTT-induced

te

aggregation of BSA by chemical chaperones, namely, arginine (Arg), arginine ethylester

Ac ce p

(ArgEE), arginine amide (ArgAd) and proline (Pro). (A) The dependence of the relative initial rate (v/v0) of DTT-induced aggregation of BSA on t0 value (v0 is the initial rate of aggregation in the absence of chemical chaperones). The plot was constructed from the experimental data represented in [29]. The dotted vertical line corresponds to t0 = t0,in. The solid curve was calculated from Eq. (11) at t0,in = 4.5 min and β = 5.6 min. (B) The (v0 − v)/v versus t0 plot. Solid curve was calculated from Eq. (10) at t0,in = 4.5 min and β = 5.6 min.

Fig. 8. Relationship between the relative initial rate of aggregation (v/v0) and the lag period (t0)

for thermal aggregation of GAPDH (0.4 mg mL-1) at 45 °C (10 mM Na-phosphate buffer, pH 7.5, containing 0.1 M NaCl). The changes in v/v0 and t0 values are due to acceleration of GAPDH aggregation in the presence of HP-β-CD [32]. The dependence of the lag period (t0) on 24

Page 24 of 35

the reciprocal value of HP-β-CD concentration. (B) The v/v0 versus t0 plot (v0 is the initial rate of GAPDH aggregation in the absence of HP-β-CD). Solid curve was calculated from Eq. (12) at

Ac ce p

te

d

M

an

us

cr

ip t

t0,in = 3.03 min and t0,lim = 1.56 min. The dotted vertical line corresponds to t0 = t0,lim.

25

Page 25 of 35

us

cr

ip t

Table 1 Parameters of DTT-induced aggregation of α-lactalbumin at 37 °C in 0.1 N Na-phosphate buffer, pH 6.8. α-Lactalbumin, v × 104, t0, min Rh,0, nm t2R, min mg mL-1 (counts/s) min-2 0.4 36 ± 3 5.7 ± 0.4 0.0024 ± 0.0002 27.0 ± 0.2 0.45 0.0048 ± 0.0003 25.2 ± 0.1 38 ± 5 4.9 ± 0.4 0.5 0.014 ± 0.001 21.7 ± 0.1 32 ± 3 3.0 ± 0.1 0.55 0.24 ± 0.02 19.8 ± 0.1 26 ± 3 2.0 ± 0.1 0.6 0.15 ± 0.01 21.5 ± 0.1 30 ± 5 2.8 ± 0.2 0.65 0.26 ± 0.02 20.9 ± 0.1 39 ± 3 2.7 ± 0.2 0.7 0.63 ± 0.06 17.3 ± 0.1 28 ± 5 1.5 ± 0.1 0.8 1.5 ± 0.2 16.0 ± 0.1 32 ± 5 1.2 ± 0.1 0.9 14.8 ± 0.1 26 ± 2 0.97 ± 0.06 2.2 ± 0.3 1.0 15.0 ± 0.1 24 ± 4 0.92 ± 0.06 2.0 ± 0.3

Ac ce p

te

d

M

an

Parameter v characterizes the initial rate of aggregation; t0 is the duration of the lag period on the dependences of the light scattering intensity on time (v and t0 were calculated from Eq. (3)). Rh,0 is the hydrodynamic radius of the start aggregates; t2R is the time interval, over which the Rh value increases from Rh,0 to 2Rh,0 (Rh,0 and t2R were calculated from Eq. (6)).

26

Page 26 of 35

Ac ce p

te

d

M

an

us

cr

ip t

Figure(s)

Page 27 of 35

Ac

ce

pt

ed

M

an

us

cr

i

Figure(s)

Page 28 of 35

Ac

ce

pt

ed

M

an

us

cr

i

Figure(s)

Page 29 of 35

Ac

ce

pt

ed

M

an

us

cr

i

Figure(s)

Page 30 of 35

Ac ce p

te

d

M

an

us

cr

ip t

Figure(s)

Page 31 of 35

Ac ce p

te

d

M

an

us

cr

ip t

Figure(s)

Page 32 of 35

Ac ce p

te

d

M

an

us

cr

ip t

Figure(s)

Page 33 of 35

Ac ce p

te

d

M

an

us

cr

ip t

Figure(s)

Page 34 of 35

Ac

ce

pt

ed

M

an

us

cr

i

Figure(s)

Page 35 of 35

Relationship between the initial rate of protein aggregation and the lag period for amorphous aggregation.

Lag period is an inherent characteristic of the kinetic curves registered for protein aggregation. The appearance of a lag period is connected with th...
439KB Sizes 0 Downloads 3 Views