Precision of protein aggregation measurements by sedimentation velocity analytical ultracentrifugation in biopharmaceutical applications

Sedimentation velocity analytical ultracentrifugation (SV-AUC) is routinely applied in biopharmaceutical development to measure levels of protein aggregation in protein products. SV-AUC is free from many limitations intrinsic to size exclusion chromatography (SEC) such as mobile phase and column interaction effects on protein self-association. Despite these clear advantages, SV-AUC exhibits lower precision measurements than corresponding measurements by SEC. The precision of SV-AUC is influenced by numerous factors, including sample characteristics, cell alignment, centerpiece quality, and data analysis approaches. In this study, we evaluate the precision of SV-AUC in its current practice utilizing a multilaboratory, multiproduct intermediate precision study. We then explore experimental approaches to improve SV-AUC measurement precision, with emphasis on utilization of high quality centerpieces.     

A case study and use of sedimentation equilibrium analytical ultracentrifugation as a tool for biopharmaceutical development

Analytical ultracentrifugation (AUC) has re-emerged as a powerful technique for protein characterisation. We report the pivotal role sedimentation equilibrium AUC has played in the development of macrophage inflammatory protein-1α (MIP-1α) as a protein therapeutic. MIP-1α has potential clinical applications in cancer but its clinical use is limited, since it associates to form large insoluble aggregates in physiological buffers. Using AUC as a screening technique, we have produced a biologically active variant of MIP-1α, BB-10010, which has a reduced tendency to aggregate in physiological buffers. The aggregation of protein based pharmaceuticals is routinely monitored by size exclusion chromatography (SEC). Comparison of the data acquired by SEC and AUC, demonstrates that owing to the complexity of BB-10010, AUC analysis is required in addition to SEC to provide a rigorous characterisation of molecular association. This work has been extended to include the use of AUC as an analytical tool to monitor the quality of BB-10010 during formulation and stability studies. Accepted: 6 October 1996     

Measuring low levels of protein aggregation by sedimentation velocity

The required performance of an analytical method depends on the purpose for which it will be used. As a methodology matures, it may find new application, and the performance demands placed on the method can increase. Sedimentation velocity analytical ultracentrifugation (SV-AUC) has a long and distinguished history with important contributions to molecular biology. Now the technique is transitioning into industrial settings, and among them, SV-AUC is now used to quantify the amount of protein aggregation in biopharmaceutical protein products, often at levels less than 1% of the total protein mass. In this paper, we review recent advances to SV methodology which have been shown to improve quantitation of protein aggregation. Then we discuss the performance of the SV method in its current state, with emphasis on the precision and quantitation limit of the method, in the context of existing industrial guidance on analytical method performance targets for quantitative methods.     

Chaperonopathies and chaperonotherapy

The study of molecular chaperones (genetics, structure, location, physiology, pathology, and therapeutics) has developed into a science with specific objectives, methods, and hypotheses, a discipline we called chaperonology. Subdisciplines of chaperonology include the study of pathological chaperones (chaperonopathies) and the analysis of their genes in sequenced genomes (chaperonomics). Chaperonopathies are pathological conditions in which one type of chaperone is deficient due to a genetic or acquired defect that modifies the chaperone's structure and/or makes the chaperone unavailable for functioning when needed. Experimental and clinical data show that chaperones and their genes can be used for treating various pathological conditions, thus justifying the development of chaperonotherapy. We discuss recent work showing that chaperonotherapy is on solid foundations: the data demonstrate that molecular chaperones counteract pathogenetic mechanisms in disease and during stress.     

Sedimentation equilibrium analysis of protein interactions with global implicit mass conservation constraints and systematic noise decomposition

Sedimentation equilibrium is a powerful tool for the characterization of protein self-association and heterogeneous protein interactions. Frequently, it is applied in a configuration with relatively long solution columns and with equilibrium profiles being acquired sequentially at several rotor speeds. The present study proposes computational tools, implemented in the software SEDPHAT, for the global analysis of equilibrium data at multiple rotor speeds with multiple concentrations and multiple optical detection methods. The detailed global modeling of such equilibrium data can be a nontrivial computational problem. It was shown previously that mass conservation constraints can significantly improve and extend the analysis of heterogeneous protein interactions. Here, a method for using conservation of mass constraints for the macromolecular redistribution is proposed in which the effective loading concentrations are calculated from the sedimentation equilibrium profiles. The approach is similar to that described by Roark (Biophys. Chem. 5 (1976) 185-196), but its utility is extended by determining the bottom position of the solution columns from the macromolecular redistribution. For analyzing heterogeneous associations at multiple protein concentrations, additional constraints that relate the effective loading concentrations of the different components or their molar ratio in the global analysis are introduced. Equilibrium profiles at multiple rotor speeds also permit the algebraic determination of radial-dependent baseline profiles, which can govern interference optical ultracentrifugation data, but usually also occur, to a smaller extent, in absorbance optical data. Finally, the global analysis of equilibrium profiles at multiple rotor speeds with implicit mass conservation and computation of the bottom of the solution column provides an unbiased scale for determining molar mass distributions of noninteracting species. The properties of these tools are studied with theoretical and experimental data sets.     

Protein aggregation as a paradigm of aging

The process of physiological decline leading to death of the individual is driven by the deteriorating capacity to withstand extrinsic and intrinsic hazards, resulting in damage accumulation with age. The dynamic changes with time of the network governing the outcome of misfolded proteins, exemplifying as intrinsic hazards, is considered here as a paradigm of aging. The main features of the network, namely, the non-linear increase of damage and the presence of amplifying feedback loops within the system are presented through a survey of the different components of the network and related cellular processes in aging and disease.     

Analysis of interacting biopolymer systems by analytical ultracentrifugation

Many of the functions of biological macromolecules are based on specific interactions. Extended concentration dependent studies of sedimentation coefficients or molecular masses of biopolymers are highly useful for describing the different kinds of association phenomena. These studies allow one to determine the partial concentrations of monomers and associates or reactants and complexes in self-associating systems or heterologous associations, respectively. Furthermore, in combination with corresponding measurements of biological activity these data allow one to estimate the individual activity parameters of components involved in equilibrium processes. The study of self-association and heterologous association using analytical ultracentrifugation, some recent developments therein, and its application to different examples are outlined here. Accepted: 18 October 1996     

On the difference in stability between horse and sperm whale myoglobins

The work in the literature on apomyoglobin is almost equally divided between horse and sperm whale myoglobins. The two proteins share high homology, show similar folding behavior, and it is often assumed that all folding phenomena found with one protein will also be found with the other. We report data at equilibrium showing that horse myoglobin was 2.1 kcal/mol less stable than sperm whale myoglobin at pH 5.0, and aggregated at high concentrations as measured by gel filtration and analytical ultracentrifugation experiments. The higher stability of sperm whale myoglobin was identified for both apo and holo forms, and was independent of pH from 5 to 8 and of the presence of sodium chloride. We also show that the substitution of sperm whale myoglobin residues Ala15 and Ala74 to Gly, the residues found at positions 15 and 74 in horse myoglobin, decreased the stability by 1.0 kcal/mol, indicating that helix propensity is an important component of the explanation for the difference in stability between the two proteins.     

Structural characterization of recombinant human CD81 produced in Pichia pastoris

Human CD81 (hCD81) protein has been recombinantly produced in the methylotrophic yeast Pichia pastoris. The purified protein, produced at a yield of 1.75 mg/L of culture, was shown to interact with Hepatitis C virus E2 glycoprotein. Immunofluorescent and flow cytometric staining of P. pastoris protoplasts with monoclonal antibodies specific for the second extracellular loop (EC2) of hCD81 confirmed the antigenicity of the recombinant molecule. Full-length hCD81 was solubilized with an array of detergents and subsequently characterized using circular dichroism (CD) and analytical ultracentrifugation. These biophysical techniques confirmed that the protein solution comprises a homogenous species possessing a highly-defined alpha-helical secondary structure. The predicted alpha-helical content of the protein from CD analysis (77.1%) fits remarkably well with what would be expected (75.2%) from knowledge of the protein sequence together with the data from the crystal structure of the second extracellular loop. This study represents the first biophysical characterization of a full-length recombinant tetraspanin, and opens the way for structure-activity analyses of this ubiquitous family of transmembrane proteins.     

A histogram approach to the quality of fit in sedimentation velocity analyses

The quality of fit of sedimentation velocity data is critical to judge the veracity of the sedimentation model and accuracy of the derived macromolecular parameters. Absolute statistical measures are usually complicated by the presence of characteristic systematic errors and run-to-run variation in the stochastic noise of data acquisition. We present a new graphical approach to visualize systematic deviations between data and model in the form of a histogram of residuals. In comparison with the ideally expected Gaussian distribution, it can provide a robust measure of fit quality and be used to flag poor models.     

Conformational spectra--probing protein conformational changes

Stafford [Biophys. J. 17 (1996) MP452] has shown that it is possible, using the analytical ultracentrifuge in sedimentation velocity mode, to calculate the molecular weights of proteins with a precision of approximately 5%, by fitting Gaussian distributions to g(s*) profiles so long as partial specific volume and the radial position of the meniscus are known. This makes possible the analysis of systems containing several components by the fitting of multiple distributions to the total g(s*) profile. We have found the Stafford relationship to hold for a range of protein solutes, particularly good agreement being found when the g(s*) profiles are computed from Schlieren (dc/dr vs. r) data using the Bridgman equation [J. Am. Chem. Soc. 64 (1942) 2349] . On this basis, we have developed a new approach to the analysis of systems where two or more distinguishable conformations of a single species are present, either in the same sample cell or in different cells in the same rotor. In the former case, this allows us to analyse a given solution of pure protein (i.e. monodisperse with respect to M) to reveal the presence in that solution of two or more conformers under identical solvent conditions. In the latter case, we can detect with high sensitivity any conformational change occurring in the transition from one set of solvent conditions to another. Alternatively, in this case, we can analyse slightly different proteins (e.g. deletion mutants) for conformational changes under identical solvent conditions. Examples of these procedures using well-defined protein systems are given.     

Pathological implications of nucleic acid interactions with proteins associated with neurodegenerative diseases

Protein misfolding disorders (PMDs) refer to a group of diseases related to the misfolding of particular proteins that aggregate and deposit in the cells and tissues of humans and other mammals. The mechanisms that trigger protein misfolding and aggregation are still not fully understood. Increasing experimental evidence indicates that abnormal interactions between PMD-related proteins and nucleic acids (NAs) can induce conformational changes. Here, we discuss these protein–NA interactions and address the role of deoxyribonucleic (DNA) and ribonucleic (RNA) acid molecules in the conformational conversion of different proteins that aggregate in PMDs, such as Alzheimer’s, Parkinson’s, and prion diseases. Studies on the affinity, stability, and specificity of proteins involved in neurodegenerative diseases and NAs are specifically addressed. A landscape of reciprocal effects resulting from the binding of prion proteins, amyloid-β peptides, tau proteins, huntingtin, and α-synuclein are presented here to clarify the possible role of NAs, not only as encoders of genetic information but also in triggering PMDs.     

Exploring the dihydrodipicolinate synthase tetramer: How resilient is the dimer-dimer interface?

Dihydrodipicolinate synthase (DHDPS, E.C. 4.2.1.52) is a tetrameric enzyme that catalyses the first committed step of the lysine biosynthetic pathway. Dimeric variants of DHDPS have impaired catalytic activity due to aberrant protein motions within the dimer unit. Thus, it is thought that the tetrameric structure functions to restrict these motions and optimise enzyme dynamics for catalysis. Despite the importance of dimer-dimer association, the interface between subunits of each dimer is small, accounting for only 4.3% of the total monomer surface area, and the structure of the interface is not conserved across species. We have probed the tolerance of dimer-dimer association to mutation by introducing amino acid substitutions within the interface. All point mutations resulted in destabilisation of the ‘dimer of dimers’ tetrameric structure. Both the position of the mutation in the interface and the physico-chemical nature of the substitution appeared to effect tetramerisation. Despite only weak destabilisation of the tetramer by some mutations, catalytic activity was reduced to ∼10-15% of the wild-type in all cases, suggesting that the dimer-dimer interface is finely tuned to optimise function.     

Auto-inhibitory effects of an IQ motif on protein structure and function

The denuded IQ2 domain, i.e. myosin heavy chain not associated with regulatory light chains, exerts an inhibitory effect on myosin ATPase activity. In this study, we elaborated a structural explanation for this auto-inhibitory effect of IQ2 on myosin function. We employed analytical ultracentrifugation, circular dichroism, and surface plasmon resonance spectroscopy to investigate structural and functional properties of a myosin heavy chain (MYH) head-rod fragment aa664-915. MYH_664-915 was monomeric, adopted a closed shape, and bound essential myosin light chains (HIS-MLC-1) with low affinity to IQ1. Deletion of IQ2, however opened MYH_664-915. Four amino acids present in IQ2 could be identified to be responsible for this auto-inhibitory structural effect: alanine mutagenesis of I814, Q815, R819, and W827 stretched MYH_664-915 and increased 30-fold the binding affinity of HIS-MLC-1 to IQ1. In this study we show, that denuded IQ2 favours a closed conformation of myosin with a low HIS-MLC-1 binding affinity. The collapsed structure of myosin with denuded IQ2 could explain the auto-inhibitory effects of IQ2 on enzymatic activity of myosin.     

Interface mutation in heptameric co-chaperonin protein 10 destabilizes subunits but not interfaces

We here report on a human mitochondrial co-chaperonin protein 10 (cpn10) variant in which the conserved interface residue leucine-96 is replaced with glycine (Leu96Gly cpn10). According to analytical ultracentrifugation, the mutation does not perturb the ability to assemble into a heptamer and electron microscopy reveals that Leu96Gly cpn10 is ring-shaped like wild-type cpn10. Despite elimination of a hydrophobic residue, the subunit-subunit affinity is essentially identical in Leu96Gly cpn10 and in wild-type cpn10. This is explained by a compensating rearrangement in Leu96Gly cpn10, evident from cross-linking and gel-filtration experiments. As a direct result of lower monomer stability, Leu96Gly cpn10 is dramatically less stable towards chemical and thermal perturbations as compared to wild-type cpn10. We conclude that leucine-96 is an interface residue preserved to guarantee stable cpn10 monomers. Our study demonstrates that the cpn10 interfaces can adapt to structural alterations without loss of either subunit-subunit affinity or heptamer specificity.     

Unfolding a folding disease: folding, misfolding and aggregation of the marble brain syndrome-associated mutant H107Y of human carbonic anhydrase II

Most loss-of-function diseases are caused by aberrant folding of important proteins. These proteins often misfold due to mutations. The disease marble brain syndrome (MBS), known also as carbonic anhydrase II deficiency syndrome (CADS), can manifest in carriers of point mutations in the human carbonic anhydrase II (HCA II) gene. One mutation associated with MBS entails the His107Tyr substitution. Here, we demonstrate that this mutation is a remarkably destabilizing folding mutation. The loss-of-function is clearly a folding defect, since the mutant shows 64% of CO(2) hydration activity compared to that of the wild-type at low temperature where the mutant is folded. On the contrary, its stability towards thermal and guanidine hydrochloride (GuHCl) denaturation is highly compromised. Using activity assays, CD, fluorescence, NMR, cross-linking, aggregation measurements and molecular modeling, we have mapped the properties of this remarkable mutant. Loss of enzymatic activity had a midpoint temperature of denaturation (T(m)) of 16 degrees C for the mutant compared to 55 degrees C for the wild-type protein. GuHCl-denaturation (at 4 degrees C) showed that the native state of the mutant was destabilized by 9.2kcal/mol. The mutant unfolds through at least two equilibrium intermediates; one novel intermediate that we have termed the molten globule light state and, after further denaturation, the classical molten globule state is populated. Under physiological conditions (neutral pH; 37 degrees C), the His107Tyr mutant will populate the molten globule light state, likely due to novel interactions between Tyr107 and the surroundings of the critical residue Ser29 that destabilize the native conformation. This intermediate binds the hydrophobic dye 8-anilino-1-naphthalene sulfonic acid (ANS) but not as strong as the molten globule state, and near-UV CD reveals the presence of significant tertiary structure. Notably, this intermediate is not as prone to aggregation as the classical molten globule. As a proof of concept for an intervention strategy with small molecules, we showed that binding of the CA inhibitor acetazolamide increases the stability of the native state of the mutant by 2.9kcal/mol in accordance with its strong affinity. Acetazolamide shifts the T(m) to 34 degrees C that protects from misfolding and will enable a substantial fraction of the enzyme pool to survive physiological conditions.     

The analysis of macromolecular interactions by sedimentation equilibrium

The study of macromolecular interactions by sedimentation equilibrium is a highly technical method that requires great care in both the experimental design and data analysis. The complexity of the interacting system that can be analyzed is only limited by the ability to deconvolute the exponential contributions of each of the species to the overall concentration gradient. This is achieved in part through the use of multi-signal data collection and the implementation of soft mass conservation. We illustrate the use of these constraints in SEDPHAT through the study of an A+B+B?AB+B?ABB system and highlight some of the technical challenges that arise. We show that both the multi-signal analysis and mass conservation result in a precise and robust data analysis and discuss improvements that can be obtained through the inclusion of data from other methods such as sedimentation velocity and isothermal titration calorimetry.