Derivation of a solubility condition for proteins from an analysis of the competition between folding and aggregation

Failure in maintaining protein solubility in vivo impairs protein homeostasis and results in protein misfolding and aggregation, which are often associated with severe neurodegenerative and systemic disorders that include Alzheimer's and Parkinson's diseases and type II diabetes. In this work we formulate a model of the competition between folding and aggregation, and derive a condition on the solubility of proteins in terms of the stability of their folded states, their aggregation propensities and their degradation rates. From our model, the bistability between folding and aggregation emerges as an intrinsic aspect of protein homeostasis. The analysis of the conditions that determine such a bistability provides a rationalization of the recently observed relationship between the cellular abundance and the aggregation propensity of proteins. We then discuss how the solubility condition that we derive can help rationalise the correlation that has been reported between evolutionary rates and expression levels or proteins, as well as in vivo protein solubility and expression level measurements, and recently elucidated trends of proteome evolution.     

Correlation between the structural stability and aggregation propensity of proteins

Protein aggregation, being an outcome of improper protein folding, is largely dependent on the folding kinetics of a protein. Previous studies have reported a positive correlation between the stability of the secondary structural elements of a protein and their rate of folding/unfolding. In this in silico study, the secondary and tertiary structures of proteins a) that form inclusion bodies on overexpression in Escherichia coli, b) that form amyloid fibrils and c) that are soluble on overexpression in E. coli are analyzed for certain features that are known to be associated with structural stability. The study revealed that the soluble proteins seem to have a higher rate of folding (based on contact order) and a lower percentage of exposed hydrophobic residues as compared to the inclusion body forming or amyloidogenic proteins. The soluble proteins also seem to have a more favored helix and strand composition (based on the known secondary structural propensities of amino acids). The secondary structure analyses also reveal that the evolutionary pressure is directed against protein aggregation. This understanding of the positive correlation between structural stability and solubility, along with the other parameters known to influence aggregation, could be exploited in the design of mutations aimed at reducing the aggregation propensity of the proteins.     

Charge-Rich Regions Modulate the Anti-Aggregation Activity of Hsp90

Protein aggregation can have dramatic effects on cellular function and plays a causative role in many human diseases. In all cells, molecular chaperones bind to aggregation-prone proteins and hinder aggregation. The ability of a protein to resist aggregation and remain soluble in aqueous solution is linked to the physical properties of the protein. Numerous physical studies demonstrate that charged atoms favor solubility. We note that many molecular chaperones possess a substantial negative charge that may allow them to impart solubility on aggregation-prone proteins. Hsp90 is one such negatively charged molecular chaperone. The charge on Hsp90 is largely concentrated in two highly acidic regions. To investigate the relationship between chaperone charge and protein solubility, we deleted these charge-rich regions and analyzed the resulting Hsp90 constructs for anti-aggregation activity. We found that deletion of both charge-rich regions dramatically impaired Hsp90 anti-aggregation activity. The anti-aggregation role of the deleted charge-rich regions could be due to net charge or sequence-specific features. To distinguish these possibilities, we attached an acid-rich region with a distinct amino acid sequence to our double-deleted Hsp90 construct. This charge rescue construct displayed effective anti-aggregation activity indicating that the net charge of Hsp90 contributes to its anti-aggregation activity.     

Primary structure elements of spider dragline silks and their contribution to protein solubility

Spider silk proteins have mainly been investigated with regard to their contribution to mechanical properties of the silk thread. However, little is known about the molecular mechanisms of silk assembly. As a first step toward characterizing this process, we aimed to identify primary structure elements of the garden spider's (Araneus diadematus) major dragline silk proteins ADF-3 and ADF-4 that determine protein solubility. In addition, we investigated the influence of conditions involved in mediating natural thread assembly on protein aggregation. Genes encoding spider silk-like proteins were generated using a cloning strategy, which is based on a combination of synthetic DNA modules and PCR-amplified authentic gene sequences. Comparing secondary structure, solubility, and aggregation properties of the synthesized proteins revealed that single primary structure elements have diverse influences on protein characteristics. Repetitive regions representing the largest part of dragline silk proteins determined the solubility of the synthetic proteins, which differed greatly between constructs derived from ADF-3 and ADF-4. Factors, such as acidification and increases in phosphate concentration, which promote silk assembly in vivo generally decreased silk protein solubility in vitro. Strikingly, this effect was pronounced in engineered proteins comprising the carboxyl-terminal nonrepetitive regions of ADF-3 or ADF-4, indicating that these regions might play an important role in initiating assembly of spider silk proteins.     

Preventing protein aggregation by its hyper-acidic fusion cognates in Escherichia coli

Preventing protein aggregation is crucial for various protein studies, and has a large potential for remedy of protein misfolding or aggregates-linked diseases. In this study, we demonstrated the hyper-acidic protein fusion partners, which were previously reported to enhance the soluble expression of aggregation-prone proteins, could also significantly prevent aggregation (or improve the solubility) of disease-associated and amyloid/fibril-forming polypeptides such as TEL-SAM and Aβ42 in Escherichia coli cells. Further and most importantly, the solubility of all poorly soluble target proteins examined was greatly elevated by their corresponding highly soluble hyper-acidic fusion cognates when they were co-expressed, in despite of a concomitant compromise of the cognates' solubility. The extent of such a solubility enhancement appeared to be in parallel with the ratio of the levels of co-expressed hyper-acidic fusion cognate and target protein. The hyper-acidic fusion cognates might function as intermolecular solubilizing effectors to prevent aggregation of the target proteins, and a plausible model for interpreting these results is also proposed.     

Review: Why is arginine effective in suppressing aggregation?

Arginine is finding a wide range of applications in production of proteins. Arginine has been used for many years to assist protein refolding. This effect was ascribed to aggregation suppression by arginine of folding intermediates during protein refolding. Recently, we have observed that arginine facilitates elution of antibodies during Protein-A chromatography and solubilizes insoluble proteins from inclusion bodies, which both can be ascribed to weakening of protein-protein interactions. In order to gain understanding on why arginine is effective in reducing protein-protein interactions and suppressing aggregation, the effects of arginine on stability and solubility of pure proteins have been examined, which showed that arginine is not a protein-stabilizer, but is an aggregation suppressor. However, there is no explanation proposed so far on why arginine suppresses aggregation of proteins. This review addresses such question and then attempts to show differences between arginine and strong denaturants, which are also known as an aggregation suppressor.     

Dynamic imaging by fluorescence correlation spectroscopy identifies diverse populations of polyglutamine oligomers formed in vivo

Protein misfolding and aggregation are exacerbated by aging and diseases of protein conformation including neurodegeneration, metabolic diseases, and cancer. In the cellular environment, aggregates can exist as discrete entities, or heterogeneous complexes of diverse solubility and conformational state. In this study, we have examined the in vivo dynamics of aggregation using imaging methods including fluorescence microscopy, fluorescence recovery after photobleaching (FRAP), and fluorescence correlation spectroscopy (FCS), to monitor the diverse biophysical states of expanded polyglutamine (polyQ) proteins expressed in Caenorhabditis elegans. We show that monomers, oligomers and aggregates co-exist at different concentrations in young and aged animals expressing different polyQ-lengths. During aging, when aggregation and toxicity are exacerbated, FCS-based burst analysis and purified single molecule FCS detected a populational shift toward an increase in the frequency of brighter and larger oligomeric species. Regardless of age or polyQ-length, oligomers were maintained in a heterogeneous distribution that spans multiple orders of magnitude in brightness. We employed genetic suppressors that prevent polyQ aggregation and observed a reduction in visible immobile species with the persistence of heterogeneous oligomers, yet our analysis did not detect the appearance of any discrete oligomeric states associated with toxicity. These studies reveal that the reversible transition from monomers to immobile aggregates is not represented by discrete oligomeric states, but rather suggests that the process of aggregation involves a more complex pattern of molecular interactions of diverse intermediate species that can appear in vivo and contribute to aggregate formation and toxicity.     

Topological determinants of protein unfolding rates

For proteins that fold by two-state kinetics, the folding and unfolding processes are believed to be closely related to their native structures. In particular, folding and unfolding rates are influenced by the native structures of proteins. Thus, we focus on finding important topological quantities from a protein structure that determine its unfolding rate. After constructing graphs from protein native structures, we investigate the relationships between unfolding rates and various topological quantities of the graphs. First, we find that the correlation between the unfolding rate and the contact order is not as prominent as in the case of the folding rate and the contact order. Next, we investigate the correlation between the unfolding rate and the clustering coefficient of the graph of a protein native structure, and observe no correlation between them. Finally, we find that a newly introduced quantity, the impact of edge removal per residue, has a good overall correlation with protein unfolding rates. The impact of edge removal is defined as the ratio of the change of the average path length to the edge removal probability. From these facts, we conclude that the protein unfolding process is closely related to the protein native structure.     

Oligomers of Heat-Shock Proteins: Structures That Don’t Imply Function

Most proteins must remain soluble in the cytosol in order to perform their biological functions. To protect against undesired protein aggregation, living cells maintain a population of molecular chaperones that ensure the solubility of the proteome. Here we report simulations of a lattice model of interacting proteins to understand how low concentrations of passive molecular chaperones, such as small heat-shock proteins, suppress thermodynamic instabilities in protein solutions. Given fixed concentrations of chaperones and client proteins, the solubility of the proteome can be increased by tuning the chaperone–client binding strength. Surprisingly, we find that the binding strength that optimizes solubility while preventing irreversible chaperone binding also promotes the formation of weakly bound chaperone oligomers, although the presence of these oligomers does not significantly affect the thermodynamic stability of the solution. Such oligomers are commonly observed in experiments on small heat-shock proteins, but their connection to the biological function of these chaperones has remained unclear. Our simulations suggest that this clustering may not have any essential biological function, but rather emerges as a natural side-effect of optimizing the thermodynamic stability of the proteome.     

纳米器件对叶蛋白提取的影响

从植物中提取蛋白质包括机械破碎和离心等一系列步骤,蛋白质在提取液中的溶解度直接影响蛋白提取率和产量.结果表明,用纳米器件处理过的提取液能显著提高叶蛋白的提取率,提升幅度为10％-30％.利用正交试验研究不同提取条件下纳米器件对蛋白可溶性的影响,结果显示浸泡时长(纳米器件浸泡在提取液中的时长)是最关键的已测因素.此外,植物样品的破碎程度也是影响叶蛋白提取率的关键因素之一.     

Role of arginine in protein refolding, solubilization, and purification

Recombinant proteins are often expressed in the form of insoluble inclusion bodies in bacteria. To facilitate refolding of recombinant proteins obtained from inclusion bodies, 0.1 to 1 M arginine is customarily included in solvents used for refolding the proteins by dialysis or dilution. In addition, arginine at higher concentrations, e.g., 0.5-2 M, can be used to extract active, folded proteins from insoluble pellets obtained after lysing Escherichia coli cells. Moreover, arginine increases the yield of proteins secreted to the periplasm, enhances elution of antibodies from Protein-A columns, and stabilizes proteins during storage. All these arginine effects are apparently due to suppression of protein aggregation. Little is known, however, about the mechanism. Various effects of solvent additives on proteins have been attributed to their preferential interaction with the protein, effects on surface tension, or effects on amino acid solubility. The suppression of protein aggregation by arginine cannot be readily explained by either surface tension effects or preferential interactions. In this review we show that interactions between the guanidinium group of arginine and tryptophan side chains may be responsible for suppression of protein aggregation by arginine.     

Selection against toxic aggregation-prone protein sequences in bacteria

Despite genetic variation has the potential to arise new protein functions, spontaneous mutations usually destabilize the native fold. Misfolded proteins tend to form cytotoxic intracellular aggregates, decreasing cell fitness and leading to degenerative disorders in humans. Therefore, it is thought that selection against protein misfolding and aggregation constrains the evolution of protein sequences. However, obtaining experimental data to validate this hypothesis has been traditionally difficult. Here we exploit bacteria as a model organism to address this question. Using variants of the Alzheimer's related Aβ42 peptide designed to exhibit different in vivo aggregation propensities we show here that, in cell competition experiments, the most aggregation-prone variants are always purged out from the growing population. Flow cytometry analysis of cellular metabolism and viability demonstrates that this purifying effect responds to a clear correlation between physiological burden and intrinsic aggregation propensity. Interestingly, the fitness cost of aggregation appears to be associated with aggregation rates rather than with overall protein solubility. Accordingly, we show that, by reducing in vivo aggregation rates, the model osmolyte proline is able to buffer the metabolic impact of protein aggregation. Overall, our data provide experimental support for the role of toxic protein aggregation on the cell fitness landscape and the evolution of natural protein sequences.     

A comparative study of the relationship between protein structure and beta-aggregation in globular and intrinsically disordered proteins

A growing number of proteins are being identified that are biologically active though intrinsically disordered, in sharp contrast with the classic notion that proteins require a well-defined globular structure in order to be functional. At the same time recent work showed that aggregation and amyloidosis are initiated in amino acid sequences that have specific physico-chemical properties in terms of secondary structure propensities, hydrophobicity and charge. In intrinsically disordered proteins (IDPs) such sequences would be almost exclusively solvent-exposed and therefore cause serious solubility problems. Further, some IDPs such as the human prion protein, synuclein and Tau protein are related to major protein conformational diseases. However, this scenario contrasts with the large number of unstructured proteins identified, especially in higher eukaryotes, and the fact that the solubility of these proteins is often particularly good. We have used the algorithm TANGO to compare the beta aggregation tendency of a set of globular proteins derived from SCOP and a set of 296 experimentally verified, non-redundant IDPs but also with a set of IDPs predicted by the algorithms DisEMBL and GlobPlot. Our analysis shows that the beta-aggregation propensity of all-alpha, all-beta and mixed alpha/beta globular proteins as well as membrane-associated proteins is fairly similar. This illustrates firstly that globular structures possess an appreciable amount of structural frustration and secondly that beta-aggregation is not determined by hydrophobicity and beta-sheet propensity alone. We also show that globular proteins contain almost three times as much aggregation nucleating regions as IDPs and that the formation of highly structured globular proteins comes at the cost of a higher beta-aggregation propensity because both structure and aggregation obey very similar physico-chemical constraints. Finally, we discuss the fact that although IDPs have a much lower aggregation propensity than globular proteins, this does not necessarily mean that they have a lower potential for amyloidosis.     

Estimating the potential refolding yield of recombinant proteins expressed as inclusion bodies

Recombinant protein production in bacteria is efficient except that insoluble inclusion bodies form when some gene sequences are expressed. Such proteins must undergo renaturation, which is an inefficient process due to protein aggregation on dilution from concentrated denaturant. In this study, the protein-protein interactions of eight distinct inclusion-body proteins are quantified, in different solution conditions, by measurement of protein second virial coefficients (SVCs). Protein solubility is shown to decrease as the SVC is reduced (i.e., as protein interactions become more attractive). Plots of SVC versus denaturant concentration demonstrate two clear groupings of proteins: a more aggregative group and a group having higher SVC and better solubility. A correlation of the measured SVC with protein molecular weight and hydropathicity, that is able to predict which group each of the eight proteins falls into, is presented. The inclusion of additives known to inhibit aggregation during renaturation improves solubility and increases the SVC of both protein groups. Furthermore, an estimate of maximum refolding yield (or solubility) using high-performance liquid chromatography was obtained for each protein tested, under different environmental conditions, enabling a relationship between "yield" and SVC to be demonstrated. Combined, the results enable an approximate estimation of the maximum refolding yield that is attainable for each of the eight proteins examined, under a selected chemical environment. Although the correlations must be tested with a far larger set of protein sequences, this work represents a significant move beyond empirical approaches for optimizing renaturation conditions. The approach moves toward the ideal of predicting maximum refolding yield using simple bioinformatic metrics that can be estimated from the gene sequence. Such a capability could potentially "screen," in silico, those sequences suitable for expression in bacteria from those that must be expressed in more complex hosts.     

Native aggregation as a cause of origin of temporary cellular structures needed for all forms of cellular activity,signaling and transformations

According to the hypothesis explored in this paper, native aggregation is genetically controlled (programmed) reversible aggregation that occurs when interacting proteins form new temporary structures through highly specific interactions. It is assumed that Anfinsen's dogma may be extended to protein aggregation: composition and amino acid sequence determine not only the secondary and tertiary structure of single protein, but also the structure of protein aggregates (associates). Cell function is considered as a transition between two states (two states model), the resting state and state of activity (this applies to the cell as a whole and to its individual structures). In the resting state, the key proteins are found in the following inactive forms: natively unfolded and globular. When the cell is activated, secondary structures appear in natively unfolded proteins (including unfolded regions in other proteins), and globular proteins begin to melt and their secondary structures become available for interaction with the secondary structures of other proteins. These temporary secondary structures provide a means for highly specific interactions between proteins. As a result, native aggregation creates temporary structures necessary for cell activity.     

Intrinsically Semi-disordered State and Its Role in Induced Folding and Protein Aggregation

Intrinsically disordered proteins (IDPs) refer to those proteins without fixed three-dimensional structures under physiological conditions. Although experiments suggest that the conformations of IDPs can vary from random coils, semi-compact globules, to compact globules with different contents of secondary structures, computational efforts to separate IDPs into different states are not yet successful. Recently, we developed a neural-network-based disorder prediction technique SPINE-D that was ranked as one of the top performing techniques for disorder prediction in the biannual meeting of critical assessment of structure prediction techniques (CASP 9, 2010). Here, we further analyze the results from SPINE-D prediction by defining a semi-disordered state that has about 50 % predicted probability to be disordered or ordered. This semi-disordered state is partially collapsed with intermediate levels of predicted solvent accessibility and secondary structure content. The relative difference in compositions between semi-disordered and fully disordered regions is highly correlated with amyloid aggregation propensity (a correlation coefficient of 0.86 if excluding four charged residues and proline, 0.73 if not). In addition, we observed that some semi-disordered regions participate in induced folding, and others play key roles in protein aggregation. More specifically, a semi-disordered region is amyloidogenic in fully unstructured proteins (such as alpha-synuclein and Sup35) but prone to local unfolding that exposes the hydrophobic core to aggregation in structured globular proteins (such as SOD1 and lysozyme). A transition from full disorder to semi-disorder at about 30–40 Qs is observed in the poly-Q (poly-glutamine) tract of huntingtin. The accuracy of using semi-disorder to predict binding-induced folding and aggregation is compared with several methods trained for the purpose. These results indicate the usefulness of three-state classification (order, semi-disorder, and full-disorder) in distinguishing nonfolding from induced-folding and aggregation-resistant from aggregation-prone IDPs and in locating weakly stable, locally unfolding, and potentially aggregation regions in structured proteins. A comparison with five representative disorder-prediction methods showed that SPINE-D is the only method with a clear separation of semi-disorder from ordered and fully disordered states.     

Amino acid architecture and the distribution of polar atoms on the surfaces of proteins

We propose that a necessary condition for a protein to be soluble is the absence of large hydrophobic patches on its solvent-accessible surface, which can cause aggregation to occur. We note that the polar nature of the backbone of all amino acids guarantees a minimum polar content and hence can interrupt such patches. As a result, a carefully conserved detailed atomic placement of residues on the protein surface is not necessary for solubility. In order to demonstrate this, we construct a measure based on the average hydrophobicity of a simply defined patch. We use this measurement to compare surfaces that exhibit a clear difference in their solubility properties, namely, a) the solvent accessible surfaces for a set of homo-dimers and the surfaces buried in their interfaces and b) for a set of monomers the surfaces of fragments of secondary structure which are solvent accessible/inaccessible. Having demonstrated a difference in the first set of distributions, we characterize the solvent accessible surfaces of monomeric proteins. To test if cooperative behavior occurs between the atoms for these surfaces, we construct a set of randomized surfaces, which obey a very simple stereochemical constraint. We find that the observed and randomized distributions are much more similar than the previous sets we examined. This implies that while surfaces of soluble proteins must have sufficient polar content, the relative placement of atoms of one amino acid with respect to the atoms of neighboring amino acid need not be finely tuned, which provides an innate robustness for protein design and folding.     

Denatured Mammalian Protein Mixtures Exhibit Unusually High Solubility in Nucleic Acid-Free Pure Water

Preventing protein aggregation is a major goal of biotechnology. Since protein aggregates are mainly comprised of unfolded proteins, protecting against denaturation is likely to assist solubility in an aqueous medium. Contrary to this concept, we found denatured total cellular protein mixture from mammalian cell kept high solubility in pure water when the mixture was nucleic acids free. The lysates were prepared from total cellular protein pellet extracted by using guanidinium thiocyanate-phenol-chloroform mixture of TRIzol, denatured and reduced total protein mixtures remained soluble after extensive dialysis against pure water. The total cell protein lysates contained fully disordered proteins that readily formed large aggregates upon contact with nucleic acids or salts. These findings suggested that the highly flexible mixtures of disordered proteins, which have fully ionized side chains, are protected against aggregation. Interestingly, this unusual solubility is characteristic of protein mixtures from higher eukaryotes, whereas most prokaryotic protein mixtures were aggregated under identical conditions. This unusual solubility of unfolded protein mixtures could have implications for the study of intrinsically disordered proteins in a variety of cells.     

Aggregation propensity of the human proteome

Formation of amyloid-like fibrils is involved in numerous human protein deposition diseases, but is also an intrinsic property of polypeptide chains in general. Progress achieved recently now allows the aggregation propensity of proteins to be analyzed over large scales. In this work we used a previously developed predictive algorithm to analyze the propensity of the 34,180 protein sequences of the human proteome to form amyloid-like fibrils. We show that long proteins have, on average, less intense aggregation peaks than short ones. Human proteins involved in protein deposition diseases do not differ extensively from the rest of the proteome, further demonstrating the generality of protein aggregation. We were also able to reproduce some of the results obtained with other algorithms, demonstrating that they do not depend on the type of computational tool employed. For example, proteins with different subcellular localizations were found to have different aggregation propensities, in relation to the various efficiencies of quality control mechanisms. Membrane proteins, intrinsically disordered proteins, and folded proteins were confirmed to have very different aggregation propensities, as a consequence of their different structures and cellular microenvironments. In addition, gatekeeper residues at strategic positions of the sequences were found to protect human proteins from aggregation. The results of these comparative analyses highlight the existence of intimate links between the propensity of proteins to form aggregates with β-structure and their biology. In particular, they emphasize the existence of a negative selection pressure that finely modulates protein sequences in order to adapt their aggregation propensity to their biological context.     

Polyphenolic disaccharides endow proteins with unusual resistance to aggregation

Protein aggregation is a common problem during the purification and formulation of therapeutic proteins. Here we report that polyphenolic disaccharides are unusually effective at preventing protein aggregation. We find that two polyphenolic glycosides-naringin and rutin-endow diverse proteins with the ability to unfold without aggregating when heated, as well as the ability to refold without aggregating when cooled at low glycoside concentrations (<5 mM). This extreme solubilizing activity is a synergistic combination of the glycone and aglycone moieties, as combinations of polyphenols and sugars fail to suppress aggregation. Moreover, the activity of polyphenolic disaccharides is remarkably specific since their monosaccharide counterparts (as well as other common excipients such as arginine, trehalose, and cyclodextrin) fail to prevent aggregation at similar concentrations (<25 mM). We expect that polyphenolic disaccharides will be valuable additives for enhancing the solubility of proteins in applications plagued by protein aggregation.