Abstract

We performed nano differential scanning fluorimetry (nanoDSF) measurements of immunoglobulin G (IgG) in urea gradient solutions under thermal unfolding. Our results show that the denaturing effect of urea on individual IgG domains can be monitored via a linear mapping of thermal shift curves to the corresponding urea concentrations. Assignment of IgG domains to each thermal shift curve allows for a reliable differentiation of the underlying mechanisms. Further results show a decisive influence of salt-induced electrostatic screening effects. We are able to explain all findings by preferential binding mechanisms in combination with electrostatic effects. The results of our study shed more light on the complex interaction mechanisms between buffer solutions and complex proteins, which are important for improving the shelf life of protein therapeutic formulation.
Introduction
Cosolute-induced stabilization and destabilization effects on biological macromolecules like proteins or DNA are the focus of recent experimental and computational research.1−4 In recent years, advanced thermodynamic arguments and descriptions were developed in order to rationalize the reversible conformational changes of the macromolecules in the presence of cosolutes.2,3,5−10 Despite controversial discussions, it is nowadays a consensus that preferential binding and exclusion mechanisms as derived from molecular theories of solutions provide a straightforward explanation of the observed effects.2,4,11 In more detail, protein destabilizers like urea or guanidinium hydrochloride are known to accumulate in close vicinity around macromolecular surfaces in terms of a preferential binding behavior, whereas protein stabilizers like trimethylamine-N-oxide or ectoine are preferentially excluded to higher-order solvation shells and the bulk solution. A possible reason for this behavior was recently provided in agreement with the underlying combination of electronic properties related to the macromolecule, the solvent, and the cosolute.4,12 As can be shown in terms of extended Kirkwood–Buff theories of solutions,2,9,11,13−16 the binding behavior of the cosolute affects the chemical potential of the macromolecule, which rationalizes the changes in the free energy difference between the unfolded and the native state.11,17
Hence, destabilizers shift the chemical equilibrium to the denatured state, while stabilizers increase the free energy difference such that the native state is stabilized.2,11 One can thus conclude that stabilization and destabilization effects are closely related to the binding or exclusion behavior of the cosolute in front of macromolecular surfaces.2,11,17 Whereas these effects were often studied for simple proteins and peptides, less is known about the influence of cosolutes on complex proteins like monoclonal antibodies (mAbs) with a multitude of different folded and unfolded states. Interestingly, understanding these effects is of far greater relevance for such molecules, since mAbs are an important class of modern drugs that are often affected by stability problems in terms of reduced shelf lives.18−20 Thus, it is well-known that mAbs in buffer solution are prone to aggregation effects, which lead to insoluble protein complexes. The occurrence of these protein complexes in human bodies is responsible for the occurrence of adverse events like immunogenicity.21 Therefore, a more detailed understanding of the stabilities of mAbs such as immunoglobulin G (IgG) in buffer solutions containing multiple cosolutes is of paramount importance to reduce such undesirable effects.
Noteworthily, the direct monitoring of structural changes and aggregation effects of multidomain IgGs is challenging. Spectral techniques often face issues due to the convolution of individually folded multiple domains during the measurements. In contrast, indirect measurements like differential scanning calorimetry with the determination of melting points Tm are widely used methods but do not reveal that high level of resolution.22,23 As was shown in previous studies, the IgGs undergo multiple transition steps, followed by an irreversible aggregation step. Such transition steps include multiple regions in the monoclonal antibody,24,25 which reveals some difficulties to individually detect and quantify the stability change for convoluted multistate domains.26−28 In addition, protein conformational changes can also be monitored by thermal unfolding curves in the presence of denaturing cosolutes in terms of “thermal shift” conditions.29−32 A promising alternative that combines indirect and direct measurements is intrinsic fluorescence (IF) differential scanning fluorimetry (DSF). IFDSF, also called nanoDSF, provides insight into structural changes by measuring the protein’s emission intensity due to the presence of the apolar amino acids tryptophan, tyrosine and phenylalanine, which are typically more localized in the hydrophobic core.33 In this article, we study the orthogonal thermal and urea-induced denaturation of a multidomain IgG protein to discriminate the thermal unfolding profiles for the different domains in the presence of urea. The detailed evaluation of different urea concentrations and their individual impact on domain stabilities reveal a complex binding and destabilization behavior. Further analysis also points to close connections between unfolding mechanisms and aggregation tendencies. Our results are discussed in the context of thermodynamic and electrostatic binding and repulsion effects.
Materials and Methods
For our nano differential scanning fluorimetry (nanoDSF) measurements, we prepared 24 samples of an aqueous IgG solution with different concentrations of urea ranging from 0 to 8.8 mol/L. The experimentally measured isoelectric point of the protein is located at pI = 7.6–7.8 as measured by isoelectric capillary electrophoresis. For the chosen buffer solution with a pH value of 5.5, one can thus assume a slightly positively charged IgG. A stock solution of 27 mg/mL IgG4 (148 kDa) was stored at −70 °C. The stock solution was thawed at 4 °C overnight and diluted into 1 mg/mL IgG4 with the following 24 gradient urea concentrations: 0.0, 0.49, 0.98, 1.47, 1.96, 2.45, 2.94, 3.43, 3.92, 4.41, 4.9, 5.39, 5.88, 6.13, 6.37, 6.62, 6.86, 7.11, 7.35, 7.6, 7.84, 8.09, 8.33, 8.58 M urea. Another set of 24 samples was produced with identical IgG4 and urea concentrations with 0.3 M NaCl.
In total, 200 μL each of 48 samples were generated in a 96-well plate and incubated at room temperature for 72 h sealed with a plastic cover to avoid evaporation. Around 10 μL was taken using Prometheus NT4.8 capillaries (NanoTemper Technologies GmbH, München, Germany). Thermal unfolding of these 48 samples in the capillaries were measured using the nanoDSF device Prometheus Panta (NanoTemper Technologies GmbH, München, Germany). Emission spectra from 310 to 390 nm and excitation at 295 nm were obtained at temperatures ranging from 20 to 95 °C with a heating rate of 1 °C/min.
The thermal denaturation curves were achieved from the ratio of the fluorescence intensity at 350 and 330 nm (F350/F330) recorded against temperatures. Since tyrosine has a lower absorption coefficient than tryptophan, excitation wavelengths around 295 nm were selected to reduce the influence of tyrosine.34 The fluorescence emission peak shift of the protein folded state was located around 330 nm, while the unfolded state was associated with wavelengths of 350 nm.35 Thermal parameters from the denaturation curves could be achieved by fitting the curves into a two-state or a three-state sigmoidal model to determine the onset temperature, Ton, and the midpoint temperature, Tm. However, we simply used an inflection point (IP) automatically calculated on the software PR control (NanoTemper Technologies GmbH, München, Germany) from the average of the triplicate measurements. In the identical instrument, the onset temperature of aggregation, Tagg was calculated based on the turbidity determined by the light extinction of samples. Further analysis such as curve fitting and data visualization was done on Origin(Pro), Version 2019 (OriginLab Corporation, Northampton, MA, USA.) and Python Matplotlib.
Results
The corresponding curves for the different melting temperatures in combination with the urea concentration and the corresponding ratio of fluorescence at 350 and 330 nm, r = F350/F330, are presented in Figure 1. Most of the thermal unfolding curves show various IPs, which can be identified with the help of the first derivatives of the ratio r (data shown in the Supporting Information). During the thermal unfolding, IgG domains are known to unfold independently, as highlighted by multiple transition and melting temperatures from previous studies.27,36 Therefore, the observed corresponding IPs can be assigned to different melting temperatures for single or multiple domains of the IgG. For increasing urea concentrations, one can observe that the IPs are shifted to lower temperatures. Such thermal shifts induced by increasing urea concentrations highlight different destabilizing effects of urea on various domains, as reflected by lower melting temperatures. The corresponding calculated melting temperatures associated with the different IPs in combination with the urea concentration are shown in Figure 2. As shown in the Supporting Information, one can identify one onset temperature Ton, three different melting temperatures T(m,1), T(m,2), and T(m,3) associated with IP1, IP2, and IP3, respectively, and certain conditions at low urea concentrations with the corresponding aggregation temperatures Tagg. The aggregation temperatures were measured according to the occurrence of turbidity effects. The associated thermal shift curves for Ton and T(m,1) reveal a nonlinear decay with increasing urea concentration, while the aggregation temperatures Tagg and the melting temperatures T(m,2) and T(m,3) show a rather linear decay. The presence of different IPs highlights the individual stability conditions for a multitude of local domains in combination with the global native IgG structure. For reasons of clarity, a simple two-state protein with one domain would show only one single melting temperature associated with one IP.
Figure 1.
3D plot of thermal unfolding curves for IgG samples with a concentration of 1 mg/mL in aqueous urea solutions, including urea concentrations from 0 (purple) to 8.8 mol/L (yellow).
Figure 2.
Thermal shift curves as a function of urea concentration for pure water–urea (circle) and aqueous 0.3 M NaCl–urea solutions (crosses) with the onset temperature Ton (black), the melting temperatures Tm,1 (blue), Tm,2 (orange), and Tm,3 (green), and the aggregation temperature Tagg (red). The curve for Tm,3 was fitted by the logistic decay curves. The aggregation areas based on the identification of the Tagg conditions are marked in red.
The thermal denaturation profile at low urea concentrations includes two melting temperatures, as represented by T(m,1) and T(m,2). For low urea concentrations below 2 mol/L, one can identify a linear decay for all melting temperatures. In addition, one observes aggregation conditions for temperatures higher than 70 °C and urea concentrations lower than 4 mol/L. For urea concentrations higher than 6 mol/L, the aggregation tendencies vanish and one observes the occurrence of a new melting temperature T(m,3) as obtained by a logistic fit. The details of the curve fitting result can be found in the Supporting Information. Since the thermal shift curve of T(m,2) merges into the T(m,3) curve at urea concentrations above 6 M, it can be assumed that the corresponding IgG domain has reached the completely unfolded state. Comparable conclusions about fully unfolded IgG domains can also be assumed for T(m,1), which disappears at high urea concentrations. Thus, the unfolding process of the two domains is directly coupled to an irreversible aggregation step at high temperatures and low urea concentrations. Noteworthy, specifically the curve for T(m,2) is closely located to Tagg, which indicates coupled transition steps including aggregation tendencies as initiated from one domain. For urea concentrations higher than 4 mol/L, all aggregation tendencies vanish, which highlights the crucial influence of urea. Around this condition, the thermal shift curve of T(m,2) changed from a linear-like decrease to a logistic decay curve.
Furthermore, we studied the effects of NaCl–urea solutions with a salt concentration of 0.3 mol/L on IgGs. It was often discussed that electrostatic interactions either stabilize or destabilize protein structures.11 As can be seen by the modified melting temperatures in the presence of salt, the conformational stabilities of IgG domains related to T(m,1) and T(m,2) are significantly decreased. The onset temperature Ton and T(m,1) reveal a similar decay but with a constant offset value in the presence of the salt. Interestingly, at high urea concentrations, one can observe, in terms of T(m,2) that the salt even stabilizes the protein and thus counteracts the denaturing effects of urea. The corresponding results reveal rather complex unfolding mechanisms and aggregation tendencies of the IgG antibody. In accordance with the observation of different melting temperatures, one can also assume an independent destabilization of different domains in the presence of urea. At high urea concentrations above 6 mol/L, any aggregation tendency has disappeared and only a single melting temperature is observed. Moreover, a significant shift of the onset temperature to higher values becomes evident. Notably, the presence of salt leads to higher melting temperatures T(m,3) when compared with simple aqueous urea solutions. The corresponding results can be interpreted as follows. We associate this behavior with an unfolding of the protein to the completely unfolded state. The high urea concentrations form saturated cosolute shells around the protein such that global unfolding mechanisms are triggered. This unfolding mechanism becomes evident in terms of the significantly changed onset temperatures, which highlight a completely different unfolding mechanism and structure for the protein when compared to lower urea concentrations. Corresponding conclusions can also be drawn regarding the influence of salt ions, which stabilize this unfolded structure due to higher melting temperatures. It was already discussed in previous publications that salt ions in complex mixtures can either induce stabilization or destabilization effects depending on their local arrangement around the protein.2,37,38 In addition, one can observe indistinguishable onset temperatures in the presence and absence of salts. Such findings reveal that electrostatic attraction or repulsion interactions due to different electrostatic screening lengths in the presence or absence of salt12 are not important for this observation. In addition, completely unfolded states usually do not aggregate since their apolar side chains are randomly distributed,39 which rationalizes the absence of aggregates. As a further rationale, one can assume a crucially affected chemical potential of the protein in the presence of high urea concentrations, which also does not favor aggregation effects.
Discussion
At low urea concentrations below 4 mol/L, one can observe two different melting temperatures and strong aggregation tendencies. The different melting temperatures can be associated with the partial unfolding of two different and independent domains of the protein, as driven by urea. Notably, the melting temperature T(m,2) roughly coincides with the aggregation temperature Tagg, which highlights certain structural relationships in terms of the underlying unfolded structures. Moreover, one can observe nearly identical Tagg values in the presence of salt, while slight changes can be observed in the absence of salt for increasing urea concentrations. The presence of salt ions results in electrostatic screening lengths of λ ≈ 0.55 nm,12 which is clearly smaller than the average distance between proteins at this concentration but larger than the distance between different domains in one protein. Thus, all electrostatic interactions of partially charged proteins become screened such that electrostatic repulsion effects between similarly charged proteins are crucially suppressed. Such a driving mechanism thus rationalizes the nearly constant aggregation temperatures in the presence of salt for screened proteins. In addition, the aggregation mechanism is driven by one partially unfolded domain. This can be concluded based on the identical values of T(m,2) and Tagg in the absence of salt. Moreover, the significantly higher values of Tagg when compared to T(m,1) indicate that a partially unfolded domain with a melting temperature T(m,1) does not trigger aggregation effects. Such observations of partially unfolded domains as initiators for aggregation are in perfect agreement with previous assumptions on the formation of reversible aggregates.18,19 Our results with Tagg changes with increasing urea concentration agree well with the well-known fact that urea suppresses the protein thermal aggregation.40,41 Notably, in the presence of 0.3 M NaCl, Tagg remains relatively constant upon an increase in the urea concentration, while protein aggregation is inhibited at lower urea concentrations than the samples in the absence of NaCl. Finally, one can observe significant differences for Ton and T(m,1) in the presence and absence of salt. The presence of salt further induces a destabilization of the domain structure, as highlighted by significantly lower values of T(m,1) and Ton. One can relate such findings to preferential binding and electrostatic screening effects between differently charged regions of the protein. Thus, electrostatic attraction, which stabilizes the intramolecular structure between protein regions, is reduced in the presence of salt, which thus lowers the corresponding melting temperature.
As already mentioned, the preferential binding and exclusion of urea can be regarded as key drivers in terms of the unfolding mechanisms. At low urea concentrations, preferential binding effects and their influence on the free energy difference between the folded and unfolded protein states are rather moderate. Such observations change for high urea concentrations, which reveal a strong local attraction behavior of urea to certain regions of the protein. The corresponding preferential binding coefficients crucially affect the chemical potential and thus the free energy difference between the folded and the unfolded states.2,3 Notably, further evidence concerning the impact of preferential binding mechanisms becomes obvious with regard to the functional decay of the temperatures Ton and Tagg. For low urea concentrations below 2 mol/L, one can observe a nearly linear decay, which transforms into a nonlinear decay for higher urea concentrations. In a recent publication,43 we showed that decreasing melting temperatures can be associated with a preferential binding mechanism. The corresponding melting temperature variation can be written as ΔT ∝ −a33Δν with the derivative a33 of the thermodynamic activity a3 for urea molecules and the difference of the preferential binding coefficients between the native and the partially unfolded state. For low urea concentrations c3, it is known that a3 ≈ c3, such that any derivative a33 = ∂ln a3/∂c3 in terms of series expansion shows linear changes upon variation of the urea concentration.42 At higher urea concentrations, nonideal clustering effects crucially affect the thermodynamic activity, which thus gradually changes into nonlinear variation. Under the reasonable assumption of nearly constant, moderate urea concentrations,43 one can thus assume that the nonlinear decay of the melting temperatures is mainly induced by increasing urea concentrations and a significantly changing thermodynamic activity.
Conclusions
The discrimination of IgG domains in stability analysis and their impact on shelf lives are important for the improved design of therapeutic drug formulations. Our studies revealed a direct destabilization effect of urea on different IgG domains by using nanoDSF. The conformational stability of IgG domains depends on the preferential binding of urea, which can be monitored by urea-induced thermal shifts. The occurrence of aggregation inhibiting effects for IgG in the presence of salt was considerably strong, as highlighted by the relatively constant Tagg upon increasing urea concentration. Hence, one can conclude that ions or stabilizing cosolutes are reasonable options to modify the shelf life and the colloidal stability upon further addition. The urea-induced thermal shift curves can clearly be discriminated in the presence and absence of salt concentrations. Notably, different effects of the salt on the individual IgG domains were observed. We discussed these effects in terms of preferential binding and electrostatic screening mechanisms, which are independent of the underlying urea concentration. Therefore, one can discriminate between urea-and ion-induced preferential binding, both of which lead to protein domain destabilization but affect the behavior on large scales in different ways. Our study discusses a reasonable approach to monitor thermal denaturation effects of cosolutes in terms of conformational and colloidal stability for independent IgG domains. We hope that the corresponding insights into the complex unfolding and aggregation effects can provide new ideas to extend the shelf life of therapeutic drug formulations.
Acknowledgments
The authors thank Daniel Martsch for his technical and intellectual support. Boehringer Ingelheim Pharma GmbH & Co. KG is gratefully acknowledged for funding.
Supporting Information Available
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsomega.3c07323.
Thermal unfolding curves, results of curve fitting, and turbidity spectra of all samples (PDF)
The authors declare no competing financial interest.
Supplementary Material
References
- Canchi D. R.; García A. E. Cosolvent effects on protein stability. Annu. Rev. Phys. Chem. 2013, 64, 273–293. 10.1146/annurev-physchem-040412-110156. [DOI] [PubMed] [Google Scholar]
- Smiatek J. Aqueous ionic liquids and their effects on protein structures: an overview on recent theoretical and experimental results. J. Phys.: Condens. Matter 2017, 29, 233001. 10.1088/1361-648X/aa6c9d. [DOI] [PubMed] [Google Scholar]
- Oprzeska-Zingrebe E. A.; Smiatek J. Preferential Binding of Urea to Single-Stranded DNA Structures: A Molecular Dynamics Study. Biophys. J. 2018, 114, 1551–1562. 10.1016/j.bpj.2018.02.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Miranda-Quintana R. A.; Smiatek J. Electronic Properties of Protein Destabilizers and Stabilizers: Implications for Preferential Binding and Exclusion Mechanisms. J. Phys. Chem. B 2021, 125, 11857–11868. 10.1021/acs.jpcb.1c06295. [DOI] [PubMed] [Google Scholar]
- Shimizu S. Estimating hydration changes upon biomolecular reactions from osmotic stress, high pressure, and preferential hydration experiments. Proc. Natl. Acad. Sci. U.S.A. 2004, 101, 1195–1199. 10.1073/pnas.0305836101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shimizu S.; Matubayasi N. Preferential hydration of proteins: A Kirkwood-Buff approach. Chem. Phys. Lett. 2006, 420, 518–522. 10.1016/j.cplett.2006.01.034. [DOI] [Google Scholar]
- Rösgen J.; Pettitt B. M.; Bolen D. W. Protein Folding, Stability, and Solvation Structure in Osmolyte Solutions. Biophys. J. 2005, 89, 2988–2997. 10.1529/biophysj.105.067330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smith P. E. Chemical Potential Derivatives and Preferential Interaction Parameters in Biological Systems from Kirkwood-Buff Theory. Biophys. J. 2006, 91, 849–856. 10.1529/biophysj.105.078790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pierce V.; Kang M.; Aburi M.; Weerasinghe S.; Smith P. E. Recent Applications of Kirkwood - Buff Theory to Biological Systems. Cell Biochem. Biophys. 2008, 50, 1–22. 10.1007/s12013-007-9005-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chitra R.; Smith P. E. Preferential Interactions of Cosolvents with Hydrophobic Solutes. J. Phys. Chem. B 2001, 105, 11513–11522. 10.1021/jp012354y. [DOI] [Google Scholar]
- Oprzeska-Zingrebe E. A.; Smiatek J. Aqueous ionic liquids in comparison with standard co-solutes. Biophys. Rev. 2018, 10, 809–824. 10.1007/s12551-018-0414-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Smiatek J. Theoretical and Computational Insight into Solvent and Specific Ion Effects for Polyelectrolytes: The Importance of Local Molecular Interactions. Molecules 2020, 25, 1661. 10.3390/molecules25071661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kirkwood J. G.; Buff F. P. The Statistical Mechanical Theory of Solutions. I. J. Chem. Phys. 1951, 19, 774–777. 10.1063/1.1748352. [DOI] [Google Scholar]
- Hall D. G. Kirkwood-Buff theory of solutions. An alternative derivation of part of it and some applications. Trans. Faraday Soc. 1971, 67, 2516–2524. 10.1039/tf9716702516. [DOI] [Google Scholar]
- Ben-Naim A.Statistical Thermodynamics for Chemists and Biochemists; Springer US, 1992; pp 1–35. [Google Scholar]
- Shulgin I. L.; Ruckenstein E. The KirkwoodBuff Theory of Solutions and the Local Composition of Liquid Mixtures. J. Phys. Chem. B 2006, 110, 12707–12713. 10.1021/jp060636y. [DOI] [PubMed] [Google Scholar]
- Oprzeska-Zingrebe E. A.; Smiatek J. Interactions of a DNA G-quadruplex with TMAO and urea: a molecular dynamics study on co-solute compensation mechanisms. Phys. Chem. Chem. Phys. 2021, 23, 1254–1264. 10.1039/D0CP05356B. [DOI] [PubMed] [Google Scholar]
- Roberts C. J. Therapeutic protein aggregation: mechanisms, design, and control. Trends Biotechnol. 2014, 32, 372–380. 10.1016/j.tibtech.2014.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Roberts C. J. Protein aggregation and its impact on product quality. Curr. Opin. Biotechnol. 2014, 30, 211–217. 10.1016/j.copbio.2014.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang W.; Roberts C. J. Protein aggregation - Mechanisms, detection, and control. Int. J. Pharm. 2018, 550, 251–268. 10.1016/j.ijpharm.2018.08.043. [DOI] [PubMed] [Google Scholar]
- Lundahl M. L. E.; Fogli S.; Colavita P. E.; Scanlan E. M. Aggregation of protein therapeutics enhances their immunogenicity: causes and mitigation strategies. RSC Chem. Biol. 2021, 2, 1004–1020. 10.1039/D1CB00067E. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rossky P. J. Protein denaturation by urea: slash and bond. Proc. Natl. Acad. Sci. U.S.A. 2008, 105, 16825–16826. 10.1073/pnas.0809224105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo L.; Chowdhury P.; Glasscock J. M.; Gai F. Denaturant-induced Expansion and Compaction of a Multi-domain Protein: IgG. J. Mol. Biol. 2008, 384, 1029–1036. 10.1016/j.jmb.2008.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Garidel P.; Karow A. R.; Blech M. Orthogonal spectroscopic techniques for the early developability assessment of therapeutic protein candidates. Spectrosc. Eur. 2014, 26, 9–13. [Google Scholar]
- Akazawa-Ogawa Y.; Nagai H.; Hagihara Y. Heat denaturation of the antibody, a multi-domain protein. Biophys. Rev. 2018, 10, 255–258. 10.1007/s12551-017-0361-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vermeer A. W.; Norde W. The Thermal Stability of Immunoglobulin: Unfolding and Aggregation of a Multi-Domain Protein. Biophys. J. 2000, 78, 394–404. 10.1016/S0006-3495(00)76602-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vermeer A. W.; Norde W.; van Amerongen A. The Unfolding/Denaturation of Immunogammaglobulin of Isotype 2b and its Fab and Fc Fragments. Biophys. J. 2000, 79, 2150–2154. 10.1016/s0006-3495(00)76462-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Senisterra G.; Chau I.; Vedadi M. Thermal denaturation assays in chemical biology. Assay Drug Dev. Technol. 2012, 10, 128–136. 10.1089/adt.2011.0390. [DOI] [PubMed] [Google Scholar]
- von Hippel P. H.; Wong K.-Y. Neutral Salts: The Generality of Their Effects on the Stability of Macromolecular Conformations. Science 1964, 145, 577–580. 10.1126/science.145.3632.577. [DOI] [PubMed] [Google Scholar]
- Souillac P. O.; Uversky V. N.; Millett I. S.; Khurana R.; Doniach S.; Fink A. L. Effect of Association State and Conformational Stability on the Kinetics of Immunoglobulin Light Chain Amyloid Fibril Formation at Physiological pH. J. Biol. Chem. 2002, 277, 12657–12665. 10.1074/jbc.M109230200. [DOI] [PubMed] [Google Scholar]
- Pace C. N.; Scholtz J. M. Measuring the conformational stability of a protein. Protein Struct. 1997, 2, 299–322. 10.1093/oso/9780199636198.003.0012. [DOI] [Google Scholar]
- Creighton T. E. Protein folding. Biochem. J. 1990, 270, 1–16. 10.1042/bj2700001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Garidel P.; Hegyi M.; Bassarab S.; Weichel M. A rapid, sensitive and economical assessment of monoclonal antibody conformational stability by intrinsic tryptophan fluorescence spectroscopy. Biotechnol. J. 2008, 3, 1201–1211. 10.1002/biot.200800091. [DOI] [PubMed] [Google Scholar]
- Augustijn D.; Mahapatra S.; Streicher W.; Svilenov H.; Kulakova A.; Pohl C.; Rinnan Ã. Novel non-linear curve fitting to resolve protein unfolding transitions in intrinsic fluorescence differential scanning fluorimetry. Eur. J. Pharm. Biopharm. 2019, 142, 506–517. 10.1016/j.ejpb.2019.06.001. [DOI] [PubMed] [Google Scholar]
- Duy C.; Fitter J. How Aggregation and Conformational Scrambling of Unfolded States Govern Fluorescence Emission Spectra. Biophys. J. 2006, 90, 3704–3711. 10.1529/biophysj.105.078980. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson M. E.; Malardier-Jugroot C.; Head-Gordon T. Effects of co-solvents on peptide hydration water structure and dynamics. Phys. Chem. Chem. Phys. 2010, 12, 393–405. 10.1039/B915888J. [DOI] [PubMed] [Google Scholar]
- Diddens D.; Lesch V.; Heuer A.; Smiatek J. Aqueous ionic liquids and their influence on peptide conformations: denaturation and dehydration mechanisms. Phys. Chem. Chem. Phys. 2017, 19, 20430–20440. 10.1039/C7CP02897K. [DOI] [PubMed] [Google Scholar]
- Lesch V.; Heuer A.; Tatsis V. A.; Holm C.; Smiatek J. Peptides in the presence of aqueous ionic liquids: tunable co-solutes as denaturants or protectants?. Phys. Chem. Chem. Phys. 2015, 17, 26049–26053. 10.1039/C5CP03838C. [DOI] [PubMed] [Google Scholar]
- Wang W.; Nema S.; Teagarden D. Protein aggregation - pathways and influencing factors. Int. J. Pharm. 2010, 390, 89–99. 10.1016/j.ijpharm.2010.02.025. [DOI] [PubMed] [Google Scholar]
- Svilenov H.; Winter G. The ReFOLD assay for protein formulation studies and prediction of protein aggregation during long-term storage. Eur. J. Pharm. Biopharm. 2019, 137, 131–139. 10.1016/j.ejpb.2019.02.018. [DOI] [PubMed] [Google Scholar]
- Nemergut M.; Žoldák G.; Schaefer J. V.; Kast F.; Miškovský P.; Plückthun A.; Sedlák E. Analysis of IgG kinetic stability by differential scanning calorimetry, probe fluorescence and light scattering. Protein Sci. 2017, 26, 2229–2239. 10.1002/pro.3278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oprzeska-Zingrebe E. A.; Smiatek J. Aqueous Mixtures of Urea and Trimethylamine-N-oxide: Evidence for Kosmotropic or Chaotropic Behavior?. J. Phys. Chem. B 2019, 123, 4415–4424. 10.1021/acs.jpcb.9b02598. [DOI] [PubMed] [Google Scholar]
- Smiatek J.; Heuer A.; Winter M. Properties of Ion Complexes and Their Impact on Charge Transport in Organic Solvent-Based Electrolyte Solutions for Lithium Batteries: Insights from a Theoretical Perspective. Batteries 2018, 4, 62. 10.3390/batteries4040062. [DOI] [Google Scholar]
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