How evolutionary pressure against protein aggregation shaped chaperone specificity

As protein aggregation is potentially lethal, control of protein conformation by molecular chaperones is essential for cellular organisms. This is especially important during protein expression and translocation, since proteins are then unfolded and therefore most susceptible to form non-native interactions. Using TANGO, a statistical mechanics algorithm to predict protein aggregation, we here analyse the aggregation propensities of 28 complete proteomes. Our results show that between 10% and 20% of the residues in these proteomes are within aggregating protein segments and that this represents a lower limit for the aggregation tendency of globular proteins. Further, we show that not only evolution strongly pressurizes aggregation downwards by minimizing the amount of strongly aggregating sequences but also by selectively capping strongly aggregating hydrophobic protein sequences with arginine, lysine and proline. These residues are strongly favoured at these positions as they function as gatekeepers that are most efficient at opposing aggregation. Finally, we demonstrate that the substrate specificity of different unrelated chaperone families is geared by these gatekeepers. Chaperones face the difficulty of having to combine substrate affinity for a broad range of hydrophobic sequences and selectivity for those hydrophobic sequences that aggregate most strongly. We show that chaperones achieve these requirements by preferentially binding hydrophobic sequences that are capped by positively charged gatekeeper residues. In other words, targeting evolutionarily selected gatekeepers allows chaperones to prioritize substrate recognition according to aggregation propensity.     

Protein misfolding and aggregation research: Some thoughts on improving quality and utility

Once misfolded and aggregated proteins were as interesting as yesterday's trash, just a bothersome byproduct of productive activities. Today, they attract sustained interest from both basic researchers and practicing engineers. In the burgeoning biopharmaceutical industry, protein misfolding and aggregation pose significant challenges to the economic manufacture of safe and effective protein products. In the clinic, protein aggregates are believed to be pathological agents in a number of serious neurodegenerative disorders, such as Alzheimer's and Parkinson's. Over the past few years, the quantity of research into biotechnological aspects of protein misfolding and aggregation has skyrocketed. However, the quality of the published work is quite variable. In this brief opinion piece, we describe what we believe are some key features of high‐quality publications in protein aggregation. We focus on experimental studies that may also have a kinetic modeling component. © 2013 American Institute of Chemical Engineers Biotechnol. Prog., 29:1109–1115, 2013     

Minimalist protein model as a diagnostic tool for misfolding and aggregation

We propose a realistic coarse-grained protein model and a technique to "anchor" the model to available experimental data. We apply this procedure to characterize the effect of multiple mutations on the folding mechanism of protein S6. We show that the mutation of a few "gatekeeper" residues triggers significant changes on the folding landscape of S6. These results suggest that gatekeeper residues control the flexibility of critical regions of S6, that in turn regulates the delicate balance between folding and aggregation. Although obtained with a minimalist protein model, these results are fully consistent with experimental evidence and offer a clue to understand the interplay between folding and aggregation in protein S6.     

Kinetics of protein aggregation. Quantitative estimation of the chaperone-like activity in test-systems based on suppression of protein aggregation

The experimental data on the kinetics of irreversible aggregation of proteins caused by exposure to elevated temperatures or the action of denaturing agents (guanidine hydrochloride, urea) have been analyzed. It was shown that the terminal phase of aggregation followed, as a rule, first order kinetics. For the kinetic curves registered by an increase in the apparent absorbance (A) in time (t) the methods of estimation of the corresponding kinetic parameters A _lim and k _I (A _lim is the limiting value of A at t and k _I is the rate constant of the first order) have been proposed. Cases are revealed when the reaction rate constant k _I calculated from the kinetic curve of aggregation of the enzymes coincides with the rate constant for enzyme inactivation. Such a situation is interpreted as a case when the rate of aggregation is limited by the stage of denaturation of the enzyme. A conclusion has been made that, in order to establish the mechanism of protein aggregation, the kinetic investigations of aggregation should be carried out over a wide range of protein concentrations. The refolding experiments after denaturation of proteins by guanidine hydrochloride or urea have been also analyzed. It was shown that aggregation accompanying refolding follows first order kinetics at the final phase of the process. The model of protein refolding explaining such a kinetic regularity has been proposed. When aggregation of protein substrate follows first order kinetics, parameters A _lim and k _I may be used for the quantitative characterization of the chaperone-like activity in the test-systems based on suppression of protein aggregation.     

A microbial sensor for discovering structural probes of protein misfolding and aggregation

In all cell types, protein homeostasis, or “proteostasis,” is maintained by sophisticated quality control networks that regulate protein synthesis, folding, trafficking, aggregation, disaggregation, and degradation. In one notable example, Escherichia coli employ a proteostasis system that determines whether substrates of the twin-arginine translocation (Tat) pathway are correctly folded and thus suitable for transport across the tightly sealed cytoplasmic membrane. Herein, we review growing evidence that the Tat translocase itself discriminates folded proteins from those that are misfolded and/or aggregated, preferentially exporting only the former. Genetic suppressors that inactivate this mechanism have recently been isolated and provide direct evidence for the participation of the Tat translocase in structural proofreading of its protein substrates. We also discuss how this discriminatory “folding sensor” has been exploited for the discovery of structural probes (e.g., sequence mutations, pharmacologic chaperones, intracellular antibodies) that modulate the folding and solubility of virtually any protein-of-interest, including those associated with aggregation diseases (e.g., α-synuclein, amyloid-β protein). Taken together, these studies highlight the utility of engineered bacteria for rapidly and inexpensively uncovering potent anti-aggregation factors.     

Flow cytometric quantification and characterization of intracellular protein aggregates in yeast

The sequestration of misfolded proteins into aggregates is an integral pathway of the protein quality control network that becomes particularly prominent during proteotoxic stress and in various pathologies. Methods for systematic analysis of cellular aggregate content are still largely limited to fluorescence microscopy and to separation by biochemical techniques. Here, we describe an alternative approach, using flow cytometric analysis, applied to protein aggregates released from their intracellular milieu by mild lysis of yeast cells. Protein aggregates were induced in yeast by heat shock or by chaperone deprivation and labeled using GFP- or mCherry-tagged quality control substrate proteins and chaperones. The fluorescence-labeled aggregate particles were distinguishable from cell debris by flow cytometry. The assay was used to quantify the number of fluorescent aggregates per μg of cell lysate protein and for monitoring changes in the cellular content and properties of aggregates, induced by stress. The results were normalized to the frequencies of fluorescent reporter expression in the cell population, allowing quantitative comparison. The assay also provided a quantitative measure of co-localization of aggregate components, such as chaperones and quality control substrates, within the same aggregate particle. This approach may be extended by fluorescence-activated sorting and isolation of various protein aggregates, including those harboring proteins associated with conformation disorders.     

Quantitative and spatio‐temporal features of protein aggregation in Escherichia coli and consequences on protein quality control and cellular ageing

The aggregation of proteins as a result of intrinsic or environmental stress may be cytoprotective, but is also linked to pathophysiological states and cellular ageing. We analysed the principles of aggregate formation and the cellular strategies to cope with aggregates in Escherichia coli using fluorescence microscopy of thermolabile reporters, EM tomography and mathematical modelling. Misfolded proteins deposited at the cell poles lead to selective re‐localization of the DnaK/DnaJ/ClpB disaggregating chaperones, but not of GroEL and Lon to these sites. Polar aggregation of cytosolic proteins is mainly driven by nucleoid occlusion and not by an active targeting mechanism. Accordingly, cytosolic aggregation can be efficiently re‐targeted to alternative sites such as the inner membrane in the presence of site‐specific aggregation seeds. Polar positioning of aggregates allows for asymmetric inheritance of damaged proteins, resulting in higher growth rates of damage‐free daughter cells. In contrast, symmetric damage inheritance of randomly distributed aggregates at the inner membrane abrogates this rejuvenation process, indicating that asymmetric deposition of protein aggregates is important for increasing the fitness of bacterial cell populations.     

Insight into the correlation between lag time and aggregation rate in the kinetics of protein aggregation

Under favorable conditions, many proteins can assemble into macroscopically large aggregates such as the amyloid fibrils that are associated with Alzheimer's, Parkinson's, and other neurological and systemic diseases. The overall process of protein aggregation is characterized by initial lag time during which no detectable aggregation occurs in the solution and by maximal aggregation rate at which the dissolved protein converts into aggregates. In this study, the correlation between the lag time and the maximal rate of protein aggregation is analyzed. It is found that the product of these two quantities depends on a single numerical parameter, the kinetic index of the curve quantifying the time evolution of the fraction of protein aggregated. As this index depends relatively little on the conditions and/or system studied, our finding provides insight into why for many experiments the values of the product of the lag time and the maximal aggregation rate are often equal or quite close to each other. It is shown how the kinetic index is related to a basic kinetic parameter of a recently proposed theory of protein aggregation. Proteins 2010. © 2010 Wiley‐Liss, Inc.     

Computational approaches to understanding protein aggregation in neurodegeneration

The generation of toxic non-native protein conformers has emerged as a unifying thread among disorders such as Alzheimer＇s disease, Parkinson＇s disease, and amyotrophic lateral sclerosis. Atomic-level detail regarding dynamical changes that facilitate protein aggre- gation, as well as the structural features of large-scale ordered aggregates and soluble non-native oligomers, would contribute signifi- cantly to current understanding of these complex phenomena and offer potential strategies for inhibiting formation of cytotoxic species. However, experimental limitations often preclude the acquisition of high-resolution structural and mechanistic information for aggregating systems. Computational methods, particularly those combine both aU-atom and coarse-grained simulations to cover a wide range of time and length scales, have thus emerged as crucial tools for investigating protein aggregation. Here we review the current state of computational methodology for the study of protein self-assembly, with a focus on the application of these methods toward understanding of protein aggregates in human neurodegenerative disorders.     

Protein misfolding, aggregation, and degradation in disease

Pathologies associated with protein misfolding have been observed in neurodegenerative diseases such as Alzheimer’s disease, metabolic diseases like phenylketonuria, and diseases affecting structural proteins like collagen or keratin. Misfolding of mutant proteins in these and many other diseases may result in premature degradation, formation of toxic aggregates, or incorporation of toxic conformations into structures. We review common traits of these diverse diseases under the unifying view of protein misfolding. The molecular pathogenesis is discussed in the context of protein quality control systems consisting of molecular chaperones and intracellular proteases that assist the folding and supervise the maintenance of the folded structure. Furthermore, genetic and environmental factors that may modify the severity of these diseases are underscored. The present article represents a partly revised and updated version of chapter 1 published earlier in volume 232 of the series Methods in Molecular Biology (Walker, J. M., ed., Humana Press, Totowa, NJ), Protein Misfolding and Disease: Principles and Protocols (Bross, P. & Gregersen, N., eds.), pp. 3–16 (2003).     

The competition between protein folding and aggregation: off-lattice minimalist model studies

Protein aggregation has been associated with a number of human diseases, and is a serious problem in the manufacture of recombinant proteins. Of particular interest to the biotechnology industry is deleterious aggregation that occurs during the refolding of proteins from inclusion bodies. As a complement to experimental efforts, computer simulations of multi-chain systems have emerged as a powerful tool to investigate the competition between folding and aggregation. Here we report results from Langevin dynamics simulations of minimalist model proteins. Order parameters are developed to follow both folding and aggregation. By mapping natural units to real units, the simulations are shown to be carried out under experimentally relevant conditions. Data pertaining to the contacts formed during the association process show that multiple mechanisms for aggregation exist, but certain pathways are statistically preferred. Kinetic data show that there are multiple time scales for aggregation, although most association events take place at times much shorter than those required for folding. Last, we discuss results presented here as a basis for future work aimed at rational design of mutations to reduce aggregation propensity, as well as for development of small-molecular weight refolding enhancers.     

Interplay of protein misfolding pathway and unfolded-protein response in acute promyelocytic leukemia

Protein misfolding has traditionally been linked to the pathogenesis of various neurodegenerative diseases. However, emerging evidence from various laboratories, including ours, suggests that protein misfolding may also play a fundamental role in some malignancies, particularly those caused by fusion oncoprotein generated from chromosomal translocation. Promyelocytic leukemia (PML) fused to the retinoic acid receptor (RAR) is a fusion oncoprotein linked to the transformation of acute promyelocytic leukemia (APL), and is not only a misfolded protein itself, but also promotes misfolding of nuclear receptor corepressor (N-CoR) protein, a corepressor essential for the growth-suppressive function of several tumor-suppressor proteins. PML–RAR promotes misfolding of N-CoR by inducing aberrant post-translational modification, which destabilizes its core and promotes instability. Misfolded N-CoR, thus, contributes to differentiation arrest and survival of APL cells through loss-of-function and aberrant gain-of-function properties. Therapeutic restoration of N-CoR conformation and function with conformation-modifying agents not only releases this differentiation arrest but also sensitizes APL cells to programmed cell death. These findings illustrate the potential of the misfolded N-CoR protein as a conformation-based drugable molecular target for APL, and highlights the promise of various conformation-modifying agents as novel therapeutics for APL. Protein conformational rearrangement, resulting from an inherited or acquired genetic alteration, could be a common pathological phenomenon contributing to transformation in different types of leukemias and solid tumors and, therefore, could serve as a common ground for designing a unifying diagnostic as well as therapeutic approach for a widely diverse disease such as cancer. To that end, APL could serve as a model for the development of a novel conformation-based therapeutic approach for other malignant diseases.     

Non-native protein aggregation kinetics

Experimental kinetics of non-native protein aggregation are of practical importance in that they help dictate viable processing, formulation, and storage conditions for biotechnology products, and appear to play a role in determining the onset of a number of diseases. Fundamentally, aggregation kinetics provide insights into the identity of key intermediates in the process, and quantitative tests of available models of aggregation. Although aggregation kinetics often display seemingly disparate behaviors across different proteins and sample conditions, this review illustrates how many of these can be understood within a general framework that treats aggregation as a multi-stage process, and how most available kinetic models of aggregation can be grouped hierarchically in terms of which stage(s) they include. This provides an aid for workers seeking a mechanistic interpretation of in vitro aggregation kinetics, for discriminating among competing models, and in designing experiments to assess in vitro protein stability. Limitations and the utility of purely kinetic approaches to studying aggregation, clarifications of common misperceptions regarding experimental aggregation kinetics, and some outstanding challenges in the field are briefly discussed.     

Interactions between l‐arginine/l‐arginine derivatives and lysozyme and implications to their inhibition effects on protein aggregation

l ‐Arginine (Arg), l ‐homoarginine (HArg), l ‐arginine ethylester (ArgEE), and l ‐arginine methylester (ArgME) were found effective in inhibiting protein aggregation, but the molecular mechanisms are not clear. Herein, stopped‐flow fluorescence spectroscopy, isothermal titration calorimetry, and mass spectroscopy were used to investigate the folding kinetics of lysozyme and the interactions of the additives with lysozyme. It was found that the interactions of ArgME and ArgEE with lysozyme were similar to that of guanidine hydrochloride and were much stronger than those of Arg and HArg. The binding forces were all mainly hydrogen bonding and cation‐π interaction from the guanidinium group, but their differences in molecular states led to the significantly different binding strengths. The additives formed molecular clusters in an increasing order of ArgEE, ArgME, HArg, and Arg. Arg and HArg mainly formed annular clusters with head‐to‐tail bonding, while ArgME and ArgEE formed linear clusters with guanidinium groups stacking. The interactions between the additives and lysozyme were positively related to the monomer contents. That is, the monomers were the primary species that participated in the direct interactions due to their intact guanidinium groups and small sizes, while the clusters performed as barriers to crowd out the protein–protein interactions for aggregation. Thus, it is concluded that the effects of Arg and its derivatives on protein aggregation stemmed from the direct interactions by the monomers and the crowding effects by the clusters. Interplay of the two effects led to the differences in their inhibition effects on protein aggregation. © 2013 American Institute of Chemical Engineers Biotechnol. Prog., 29:1316–1324, 2013     

Understanding and exploiting interactions between cellular proteostasis pathways and infectious prion proteins for therapeutic benefit

Several neurodegenerative diseases of humans and animals are caused by the misfolded prion protein (PrP^Sc), a self-propagating protein infectious agent that aggregates into oligomeric, fibrillar structures and leads to cell death by incompletely understood mechanisms. Work in multiple biological model systems, from simple baker''s yeast to transgenic mouse lines, as well as in vitro studies, has illuminated molecular and cellular modifiers of prion disease. In this review, we focus on intersections between PrP and the proteostasis network, including unfolded protein stress response pathways and roles played by the powerful regulators of protein folding known as protein chaperones. We close with analysis of promising therapeutic avenues for treatment enabled by these studies.     

Sequence and structural determinants of Cu, Zn superoxide dismutase aggregation

Diverse point mutations in the enzyme Cu, Zn superoxide dismutase (SOD1) are linked to its aggregation in the familial form of the disease amyotrophic lateral sclerosis. The disease-associated mutations are known to destabilize the protein, but the structural basis of the aggregation of the destabilized protein and the structure of aggregates are not well understood. Here, we investigate in silico the sequence and structural determinants of SOD1 aggregation: (1) We identify sequence fragments in SOD1 that have a high aggregation propensity, using only the sequence of SOD1, and (2) we perform molecular dynamics simulations of the SOD1 dimer folding and misfolding. In both cases, we identify identical regions of the protein as having high propensity to form intermolecular interactions. These regions correspond to the N- and C-termini, and two crossover loops and two beta-strands in the Greek-key native fold of SOD1. Our results suggest that the high aggregation propensity of mutant SOD1 may result from a synergy of two factors: the presence of highly amyloidogenic sequence fragments ("hot spots"), and the presence of these fragments in regions of the protein that are structurally most likely to form intermolecular contacts under destabilizing conditions. Therefore, we postulate that the balance between the self-association of aggregation-prone sequences and the specific structural context of these sequences in the native state determines the aggregation propensity of proteins.     

Thermal denaturation and aggregation of apoform of glycogen phosphorylase b. Effect of crowding agents and chaperones

The effect of protein and chemical chaperones and crowders on thermal stability and aggregation of apoform of rabbit muscle glycogen phosphorylase b (apoPhb) has been studied at 37°C. Proline suppressed heat‐induced loss in ability of apoPhb to reconstitution at 37°C, whereas α‐crystallin did not reveal a protective action. To compare the antiaggregation activity of intact and crosslinked α‐crystallins, an adsorption capacity (AC) of a protein chaperone with respect to a target protein was estimated. This parameter is a measure of the antiaggregation activity. Crosslinking of α‐crystallin results in 11‐fold decrease in the initial AC. The nonlinear character of the relative initial rate of apoPhb aggregation versus the [intact α‐crystallin]/[apoPhb] ratio plot is indicative of the decrease in the AC of α‐crystallin with increasing the [α‐crystallin]/[apoPhb] ratio and can be interpreted as an evidence for dynamic chaperone structure and polydispersity of α‐crystallin–target protein complexes. As for chemical chaperones, a semisaturation concentration of the latter was used as a characteristic of the antiaggregation activity. A decrease in the semisaturation concentration for proline was observed in the presence of the crowders (polyethylene glycol and Ficoll‐70). © 2013 Wiley Periodicals, Inc. Biopolymers 101: 504–516, 2014.     

The intrinsic chaperone network of Arabidopsis stem cells confers protection against proteotoxic stress

The biological purpose of plant stem cells is to maintain themselves while providing new pools of differentiated cells that form organs and rejuvenate or replace damaged tissues. Protein homeostasis or proteostasis is required for cell function and viability. However, the link between proteostasis and plant stem cell identity remains unknown. In contrast to their differentiated counterparts, we find that root stem cells can prevent the accumulation of aggregated proteins even under proteotoxic stress conditions such as heat stress or proteasome inhibition. Notably, root stem cells exhibit enhanced expression of distinct chaperones that maintain proteome integrity. Particularly, intrinsic high levels of the T‐complex protein‐1 ring complex/chaperonin containing TCP1 (TRiC/CCT) complex determine stem cell maintenance and their remarkable ability to suppress protein aggregation. Overexpression of CCT8, a key activator of TRiC/CCT assembly, is sufficient to ameliorate protein aggregation in differentiated cells and confer resistance to proteotoxic stress in plants. Taken together, our results indicate that enhanced proteostasis mechanisms in stem cells could be an important requirement for plants to persist under extreme environmental conditions and reach extreme long ages. Thus, proteostasis of stem cells can provide insights to design and breed plants tolerant to environmental challenges caused by the climate change.     

Effects of arginine on heat-induced aggregation of concentrated protein solutions

Arginine is one of the commonly used additives to enhance refolding yield of proteins, to suppress aggregation of proteins, and to increase solubility of proteins, and yet the molecular interactions that contribute to the role of arginine are unclear. Here, we present experiments, using bovine serum albumin (BSA), lysozyme (LYZ), and β-lactoglobulin (BLG) as model proteins, to show that arginine can enhance heat-induced aggregation of concentrated protein solutions, contrary to the conventional belief that arginine is a universal suppressor of aggregation. Results show that the enhancement in aggregation is caused only for BSA and BLG, but not for LYZ, indicating that arginine's preferential interactions with certain residues over others could determine the effect of the additive on aggregation. We use this previously unrecognized behavior of arginine, in combination with density functional theory calculations, to identify the molecular-level interactions of arginine with various residues that determine arginine's role as an enhancer or suppressor of aggregation of proteins. The experimental and computational results suggest that the guanidinium group of arginine promotes aggregation through the hydrogen-bond-based bridging interactions with the acidic residues of a protein, whereas the binding of the guanidinium group to aromatic residues (aggregation-prone) contributes to the stability and solubilization of the proteins. The approach, we describe here, can be used to select suitable additives to stabilize a protein solution at high concentrations based on an analysis of the amino acid content of the protein.