Next Article in Journal
Engineering Bacterial Cellulose by Synthetic Biology
Next Article in Special Issue
Role of the ROS-JNK Signaling Pathway in Hypoxia-Induced Atrial Fibrotic Responses in HL-1 Cardiomyocytes
Previous Article in Journal
Growth by Insertion: The Family of Bacterial DDxP Proteins
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Mechanistic Insights into the Role of Molecular Chaperones in Protein Misfolding Diseases: From Molecular Recognition to Amyloid Disassembly

1
Stowers Institute for Medical Research, Kansas City, MO 64110, USA
2
Rocasolano Institute for Physical Chemistry, Spanish National Research Council (IQFR-CSIC), Serrano 119, E-28006 Madrid, Spain
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(23), 9186; https://doi.org/10.3390/ijms21239186
Submission received: 9 November 2020 / Revised: 29 November 2020 / Accepted: 29 November 2020 / Published: 2 December 2020
(This article belongs to the Special Issue Physiological and Pathological Aspects of Unfolded Protein Response)

Abstract

:
Age-dependent alterations in the proteostasis network are crucial in the progress of prevalent neurodegenerative diseases, such as Alzheimer’s, Parkinson’s, or amyotrophic lateral sclerosis, which are characterized by the presence of insoluble protein deposits in degenerating neurons. Because molecular chaperones deter misfolded protein aggregation, regulate functional phase separation, and even dissolve noxious aggregates, they are considered major sentinels impeding the molecular processes that lead to cell damage in the course of these diseases. Indeed, members of the chaperome, such as molecular chaperones and co-chaperones, are increasingly recognized as therapeutic targets for the development of treatments against degenerative proteinopathies. Chaperones must recognize diverse toxic clients of different orders (soluble proteins, biomolecular condensates, organized protein aggregates). It is therefore critical to understand the basis of the selective chaperone recognition to discern the mechanisms of action of chaperones in protein conformational diseases. This review aimed to define the selective interplay between chaperones and toxic client proteins and the basis for the protective role of these interactions. The presence and availability of chaperone recognition motifs in soluble proteins and in insoluble aggregates, both functional and pathogenic, are discussed. Finally, the formation of aberrant (pro-toxic) chaperone complexes will also be disclosed.

1. Introduction

Optimal tissue and cellular maintenance require the preservation of protein homeostasis (proteostasis) [1]. These fine safeguarding processes are operated by an elaborate multiprotein and multicompartmental system called the proteostasis network (PN) [2]. The PN is in charge of securing proper protein synthesis, folding, maturation, and degradation. The activity of the PN, which is suited to the cellular requirements at different stages [1], is crucial for protecting cells against the extensive protein misfolding that arises under physiological and stress conditions, and therefore, alterations in the PN play pivotal roles in protein-misfolding diseases [2,3,4]. Because the PN’s activity is compromised in aging, age-related diseases are characterized by intracellular deposits of accumulated misfolded proteins [2,3]. Formation of these disease-related aggregates, usually of an amyloid nature, is triggered by aberrant structural transitions in monomeric functional proteins, which can display an ordered fold or remain intrinsically disordered [5]. Factors that facilitate aberrant protein structural conversions include genetic mutations and protein modifications, either in the aggregating proteins or in members of the PN [2], which, in combination with stress-induced and age-related PN decay, lead to protein aggregation processes that provoke cellular toxicity.
Protein aggregation into amyloids [6] has been studied for decades, and many of the key factors governing the formation, composition, and structure of amyloids are established [5]. Remarkably, amyloids are not only related to the development of a large number of diseases but several functional amyloids have also been described in different organisms [7,8,9]. Disease-related amyloids have been considered hallmarks for many of the most devastating degenerative human disorders [5]. However, the concomitance between the presence of amyloid aggregates and disease progression is not always clear [10,11], and the nature of the toxic species in the aggregation cascades remains under debate [5,12,13,14]. Recent breakthroughs in the role of membraneless organelles formed by protein liquid–liquid phase separation (LLPS) in disease progression have brought dynamic condensates into the forefront [14,15,16]. Despite the abundant physiological roles of protein condensates [17], misfolded proteins [16] and pathogenic mutations [14] trigger the assembly into aberrant condensates related to toxicity, which are prevented by chaperone action [16]. In view of the critical role of molecular chaperones preventing aberrant LLPS and/or amyloid aggregation in diseases, understanding the fundamentals of chaperone recognition mechanisms is of utmost relevance for a mechanistic conception of protein misfolding diseases.
Molecular chaperones play key roles in protein folding, aggregation, and degradation within the PN [2,3]. Because the chaperones’ function is tightly regulated and interconnected by a multitude of co-chaperones and other factors, this widespread protein network is collectively referred to as the “chaperome” [4,18]. The main molecular chaperones are characterized by a specific activation upon the heat shock response [19], which grants the proteins their names. Using this terminology, the main molecular chaperone nodes of the eukaryotic PN can be grouped into the DNAJ/Hsp40, Hsp70, Hsp90, Hsp100, chaperonin/Hsp60, and small Hsp (sHsp) [20,21,22]. Hsp70 and Hsp90 chaperones, which are evolutionary conserved and highly abundant in the cytosol [23], are well studied (Figure 1). Both chaperones undergo extensive conformational rearrangements upon ATP binding and hydrolysis [21,22,24]. While Hsp70 employs a restricted region of its structure for the transient recognition of short, mainly hydrophobic stretches of client proteins [24], client binding involves a large region of the Hsp90 structure [25,26]. Hsp70 and Hsp90 mainly work in a sequential arrangement, although they can bind clients simultaneously with the assistance of the co-chaperone Hop (Hsp-organizing protein) [23]. Client recognition specificity is modulated by a large array of co-chaperones (Figure 1). Hsp70 is mainly regulated by the versatile family of Hsp40/DNAJ chaperones [24,27,28] and assisted by sHsps [20], whereas Hsp90 associates with a large cohort of co-chaperones [22,29,30]. In short, Hsp70, Hsp90, and their co-chaperones are crucial members of the PN that are able to recognize misfolded proteins, aberrant condensates and protein aggregates, triaging proteins for refolding or degradation [2]. This review will cover crucial aspects of the mechanisms for client recognition employed by Hsp70 and Hsp90 chaperones that dictate their role in misfolding diseases, focusing on the principles that rule their interaction with monomeric misfolding intermediates, protein condensates, and amyloid aggregates.

2. Dynamic Hsp70 and Hsp90 Are Closely Monitored by Co-Chaperones

The Hsp70 family of molecular chaperones is ubiquitously expressed and particularly relevant in the early stages of nascent polypeptide folding [2,3]. Human Hsp70 presents a variety of highly identical isoforms that coexist in cellular compartments, yet show functional specificity [31]. Hsp70 is composed of two domains, a 40 kDa, actin-like N-terminal nucleotide-binding domain (NBD) that binds ATP and regulates allostery and a 25 kDa C-terminal substrate-binding domain (SBD) (Figure 1). The substrate-binding pocket present in the SBD is capped by a lid, which undergoes large conformational changes following the ATP hydrolysis cycle toward the opening of the binding pocket and the release of the substrate (Figure 1). While the inherent ATPase activity of human Hsp70 is significantly slow, it is stimulated by the Hsp40/DNAJ family upon interaction with the J-domain, which additionally aids Hsp70 in the selective recruitment of clients [24,27,31]. Hsp40/DNAJ proteins interact differently with Hsp70 chaperones [28]. In the major class B, DNAJB1 exhibits a class-dependent autoinhibitory mechanism, in which a Gly/Phe-rich segment blocks the Hsp70-binding sites located in the J-domain. The presence of an additional Hsp70-binding site, which is not present in the class A Hsp40s, releases the Gly-Phe inhibition upon binding to the C-terminal IEEVD tail of Hsp70 [28]. In Hsp70, the NBD and SBD domains are separated by a highly conserved, dynamic, and amphipathic linker, which is crucial for the allosteric communication between both domains [24,32,33]. The sequence conservation between isoforms dramatically decays in the C-terminal region of the lid subdomain that closes the SBD, and in the following short C-terminal disordered fragment [32]. Interestingly, these variable regions determine the differential effects of Hsp70 isoforms on the aggregation or degradation of the Alzheimer’s-disease-related protein tau [34]. The very last C-terminal sequence of Hsp70 (containing the sequence IEEVD) is specifically recognized by the tetratricopeptide repeats (TPRs) present in the co-chaperone Hop, which escorts Hsp70:client complexes toward Hsp90 [35].
The biologically active Hsp90 dimer exhibits a tightly regulated equilibrium of extended and closed conformations (Figure 1) [22,26]. The ATPase activity is located in the N-terminal domain (NTD), which is highly conserved among the different Hsp90 isoforms [36]. The NTD is followed by a highly flexible, negatively charged linker, which is particularly relevant for client recognition [26,37,38]. The middle domain (MD) is important for allostery and co-chaperone and client binding, and the C-terminal domain (CTD) is critical for the dimerization and stabilization of Hsp90:client complexes [26]. Similar to Hsp70, Hsp90 has a conserved MEEVD motif at its C-terminus, which is targeted by TPR-containing proteins [26,35]. Human Hsp90 participates in the proper folding, maturation, and maintenance of a vast number of clients [23,39], and its activity, selectivity, and functionality are regulated by co-chaperones. Interestingly, the close inspection of all the Hsp90:co-chaperone complex structures described so far has revealed that co-chaperones that intervene at different stages of the Hsp90 activation cycle [22] bind to different interfaces of Hsp90, which delimits the available sites for the interaction with clients [26,37,40,41,42,43,44].

3. Selective Recognition of Misfolded Proteins by Hsp70 and Hsp90

Because Hsp70 recognizes short, hydrophobic sequences, and the availability and exposure of such regions trigger protein aggregation [3,5], the misregulation of Hsp70 and its co-chaperones can be related to the progress of protein misfolding diseases [48,49,50,51]. Indeed, pharmacological upregulation or overexpression of Hsp70 preserves viability in cells expressing aggregation-prone proteins, either by blocking the formation of toxic species [52,53,54,55] or by inducing aggregation into innocuous deposits [56]. Such sequences targeted by Hsp70 can be exposed as the result of partial misfolding of stably folded protein domains into metastable intermediates or present in protein sequences that remain intrinsically disordered. For instance, the protein transthyretin (TTR) forms a functional tetramer but can aggregate into insoluble deposits in TTR amyloidosis [57], causing neuropathy and cardiomyopathy [58]. During tetramer dissociation and misfolding, the C-terminal β-strand in the monomer of TTR unfolds, revealing hydrophobic segments [25] in a process that can be reverted by the protective T119M mutation [59]. However, it is still unknown whether Hsp70 directly binds misfolded TTR or whether the interaction would be mediated via an Hsp40 co-chaperone [31]. Although TTR deposits are mainly extracellular, they induce the activation of intracellular Hsp70, possibly through stimulation of the inflammatory response [60]. In a recent study, Masser and co-workers elegantly showed how Hsp70 specifically binds and inhibits Hsf1 (the transcription factor that induces the heat-shock response upon folding stress to balance proteostasis) [61]. Interestingly, increasing amounts of misfolded peptides in the cytosol during stress would titrate out Hsp70, releasing and activating Hsf1, which could ultimately lead to hyperstressed conditions and proteostasis failure [61].
The recognition of misfolded protein conformations by Hsp70 is not always thorough and may depend on the microenvironment. Hsp70 was found to bind specific conformations of human PrP prion protein in membrane microdomains in Drosophila, preventing the accumulation of misfolded conformers and alleviating PrP neurotoxicity [62]. Mutations in the superoxide dismutase 1 (SOD1) gene are related to familial cases of amyotrophic lateral sclerosis (ALS). Several mutations were found to reduce ion binding and promote partial misfolding in the cytosol [63]. One of these mutations, A4V, promotes the exposure of aggregation-prone regions, but not of Hsp70 recognition motifs (containing the sequences 64HFNPLSR70 and 114IGRTLVV120), providing an explanation for the accumulation of toxic SOD1 aggregates that result from incomplete recognition by Hsp70 [64,65]. The tumor suppressor p53 is another pertinent example of a misfolded target of Hsp70. Almost half of human cancers are associated with the loss of function and/or gain-of-toxic function of p53, which is triggered by its amyloid-like aggregation [66]. The Hsp70 recognition motif (251ILTII255 in the sequence of p53) is buried in the core of p53′s tridimensional structure [67,68]. The role of Hsp70 in regulating p53′s activity has remained controversial since some evidence indicates that Hsp70 induces p53 misfolding and cytoplasmic aggregation [69,70]. Interestingly, Hsp70 was found to trap misfolded intermediates of p53 with the assistance of Hsp40 co-chaperones, hence stabilizing aggregation-prone conformations [68]. The recruitment of Hsp90 and its co-chaperone Hop impedes the Hsp70-driven aggregation of p53 since Hop would promote the transfer of misfolded p53 to Hsp90. Hsp90 and Hop then restore the native state of p53 [68,71]. Therefore, proper recognition of misfolded motifs in pathogenic proteins by Hsp70 and its intricate coalition with Hsp90 and co-chaperones are key to preventing further aggregation and maintaining a balanced proteostasis.
Hsp70 recognition motifs remain more exposed in intrinsically disordered proteins (IDPs). The natively disordered protein tau plays multiple roles in neurons but can form aggregates of different compositions in tauopathies [72]. Despite being highly soluble, tau contains several hydrophobic fragments (containing the sequences 275VQIINK280 and 306VQIVYK311), which mediate its amyloid aggregation [72] and are specifically recognized by Hsp70 [34]. Intriguingly, only the inducible variant of Hsp70 is able to promote proteasomal tau clearance, which is mediated by the co-chaperone ubiquitin ligase CHIP [34]. Polyglutamine expansions in the protein huntingtin (HTT) form cytoplasmic inclusion bodies (huntingtin bodies) and are causative for hereditary forms of Huntington’s disease [73]. Hsp70 specifically recognizes the sequence ahead of the polyglutamine tract in HTT (containing the sequence 1MATLEKLMKAFESLKSF17), which mediates intermolecular associations that are relevant for aggregation [74] and may be important for stabilizing helical conformations within the polyglutamine tract [75]. Mediated by this interaction, Hsp70 and Hsp40 inhibit HTT aggregation and alleviate the derived toxicity [74]. Human islet amyloid polypeptide (IAPP) is the major component of the amyloid deposits found in patients with non-insulin-dependent (type II) diabetes mellitus. Bongiovanni and coworkers showed that a modified version of Hsp70 specifically targeted the sequence 56FGAILSS62 in IAPP [76]. Remarkably, Hsp70 seemed to first accelerate IAPP aggregation before suppressing it, leading to reduced cytotoxicity [76]. The TAR DNA binding protein of 43 kDa (TDP-43) is abundantly found forming insoluble aggregates in familial and sporadic cases of ALS, frontotemporal lobar degeneration, and even Alzheimer’s disease and the recently defined Limbic-predominant age-related TDP-43 encephalopathy (LATE) [77,78]. Overexpression of Hsp70 reduced TDP-43 aggregation without promoting its degradation [79]. Hsp70 and Hsp40 co-chaperones were found to stably interact with the C-terminal disordered region of TDP-43, preserving TDP-43′s solubility and functionality [80]. Similar to the Hsf1 inhibition mechanism mediated by Hsp70 mentioned earlier [61], activation of stress would enhance protein misfolding in the cytosol, which would titrate out Hsp70 and Hsp40 from TDP-43, favoring its aggregation and loss of function [80]. Overall, Hsp70 in combination with DNAJ/Hsp40 co-chaperones are very potent neutralizers of protein aggregation, particularly for IDPs, through a wide variety of mechanisms.
Evidence indicates that the interaction between Hsp90 and folded substrates are not restricted to a particular region of Hsp90 but cover a wide interface in the chaperone, leading to the formation of much more dynamic, pleomorphic, and multivalent complexes than in the case of Hsp70. For instance, in the absence of co-chaperones, Hsp90 forms multiple dynamic complexes with misfolded TTR and p53 [25,81,82]. Despite displaying selective recognition for misfolded TTR, Hsp90 was unable to promote the refolding of TTR in the absence of co-chaperones [25]. Conversely, the binding of Hsp90 promoted the interconversion between metastable conformers within an ensemble of conformations in p53 [81]. These dynamic modes of interactions are in apparent conflict with the structure of Hsp90 in a complex with the co-chaperone Cdc37 and the client Cdk4, which was solved using cryo-electron microscopy (cryo-EM) [37]. In that structure, Hsp90 traps a misfolded form of the client Cdk4 in a complex stabilized by the co-chaperone Cdc37. Therefore, questions are raised whether the presence of co-chaperones bound to Hsp90 would promote preferential modes of interaction for the client proteins. Nevertheless, evidence obtained from nuclear magnetic resonance (NMR) spectroscopy indicates that, in solution, co-chaperones bind to human Hsp90 in a very dynamic fashion, where fully bound forms of the Hsp90:co-chaperone complex coexist with a partially unbound co-chaperone [26,43].
The interaction between Hsp90 and IDP clients is highly dynamic and polymorphic. In the case of the longest isoform of human tau (called htau40 [83]), a large fraction of the protein binds to Hsp90, irrespective of the allosteric state of the chaperone [26]. Specifically, the proline-rich region and microtubule-binding domains of tau are strongly involved in the interaction with Hsp90. Interestingly, these regions are rich in positively charged residues, which may well be trapped by the negatively charged linker between the NTD and MD domains of Hsp90 [38]. In addition, the aggregation-prone, hydrophobic stretches present in tau are specifically recognized by nonpolar patches exposed along the surface of the different domains of Hsp90, supporting the multivalent nature of the interaction [26]. These hydrophobic stretches in tau, which were also specifically recognized by Hsp70 [34], adopt a partial β-structure in solution [83], which might be relevant for the recognition by chaperones (Figure 2). Hence, multiple conformations of tau adhere along one arm of the Hsp90 dimer in a strikingly polymorphic, yet specific manner [26]. Quite compellingly, the presence of a co-chaperone bound to Hsp90 drastically reshapes the tau conformational ensemble in the complex [26], thus leading to the presumption that studying the structural consequences of chaperone:co-chaperone complexes on bound clients may be more biologically relevant.
Inspecting the interaction between chaperones and IDPs reveals interesting insights. Extracellular senile plaques composed of amyloid-β (Aβ) peptide are also characteristic of Alzheimer’s disease [5]. Upon cleavage of the transmembrane amyloid precursor protein, amphipathic fragments of 40 and 42 residues (called Aβ40 and Aβ42) are released. Both Aβ40 and Aβ42 show structural transitions toward enrichment in a β-sheet structure and the propensity to aggregate [84]. Hsp90 and Hsp70:Hsp40 complexes could both interact with Aβ42 in the monomeric and oligomeric forms, triggering structural changes in Aβ42 that halt its further aggregation [85]. In a recent systematic study, Burmann and coworkers showed that several divergent chaperones, including Hsp70 and Hsp90, all recognized the same regions of monomeric α-synuclein [86]. α-Synuclein is the main constituent of the Lewy bodies, which are intracellular inclusions found in Parkinson’s disease [87]. More specifically, Hsp70 and Hsp90 recognized the N-terminal region containing the sequence 1MDVFMKGLSKAKEGVVAAAEKTKQGVAEAAGKTKE35, which has a tendency to adopt α-helical conformations [88], and the Tyr39 residue of α-synuclein. Interaction with Hsp70 and Hsp90 prevented α-synuclein’s oligomerization [86]. Interestingly, these interactions were found to be very transient in cells, and subtle changes in the cellular levels of α-synuclein or chaperones, modifications in α-synuclein or induction of cellular stress could dissociate the complexes and imbalance proteostasis, leading to α-synuclein aggregation and eventually causing Parkinson’s disease [86]. In a similar fashion, Hsp90 specifically binds to the identical region of HTT that is recognized by Hsp70 [74,89]. This particular region, which was proposed to form an amphiphatic α-helix in solution is able to bind to multiple regions of Hsp90 [89].
Altogether, it appears that Hsp70 and Hsp90 recognize the same repertoire of hydrophobic stretches present in client proteins, with Hsp90 showing an additional affinity for bulky aromatic residues. Remarkably, when these chaperone recognition motifs are present in IDPs, they show a significant tendency to adopt a secondary structure (Figure 2). This raises the question of whether chaperone recognition is based on sequential or structural motifs. It is possible that Hsp70 and Hsp90 selectively bind to one side of the α-helix or β-strand where most of the hydrophobic sidechains of the motif reside [89]. Besides being rich in hydrophobic residues, the regions that are recognized by Hsp70 and Hsp90 on IDPs are also significantly abundant in positively charged residues [26]. Therefore, the interaction between chaperones and IDPs is multivalent [26]. The outcome of these apparently similar recognition mechanisms by Hsp70 and Hsp90 on the triaging of the client protein can be drastically different, but this resolution seems to be dictated by the specific co-chaperone recruited to the complex (Figure 1). For instance, the co-chaperones Hop and CHIP bind to the same regions of Hsp70 and Hsp90, and the selection is determined by phosphorylation of the binding site in the chaperones [47]. While the binding of Hop enhances client protein folding, the binding of CHIP promotes client degradation [47]. Thus, because Hsp90 is shown to be ambivalent in client triaging, it has been considered to play a passive scaffolder role in the context of protein misfolding diseases. Indeed, several co-chaperones have been raised as promising therapeutic targets for various neurodegenerative diseases [26,90,91,92,93].

4. Hsp70 and Hsp90 Play Crucial Roles in Disease-Related LLPS

LLPS is a long-studied physicochemical process whose enormous impact in protein biochemistry and cell biology has been recognized recently [17,95]. During the last decades, major cellular membraneless compartments covering a wide range of functions have been discovered [95,96,97,98]. These highly dynamic species are formed by the biomolecular coacervation of usually proteins and RNA to typically keep them dormant during stressful conditions [17], and the molecules within the condensate can be exchanged from the condensed to the dispersed phases. Proteinaceous LLPS is governed by weak, transient, and reversible interactions [99], and a pattern of “stickers” (aromatic residues) and “spacers” (polar moieties) on proteins has been established to determine the phase behavior [100,101]. Because of their elevated dynamics and plasticity and patterning of stickers and spacers, IDPs are actively involved in LLPS [101]. Intriguingly, even though biomolecular condensates are involved in a plethora of physiological functions, there is a delicate equilibrium between the physiological and aberrant condensates in diseases [15], and condensates that are formed by several proteins were shown to evolve to fibrillar solid aggregates of an amyloid nature [102,103,104,105,106].
Biomolecular condensates are metastable states that quickly react to changes in the environment. Thus, tight regulation is required to modulate condensates’ disassembly or their progress to fibrillar structures (either functional or pathogenic) [15,107,108]. In aging, when the stressful conditions lead to an overwhelmed PN [2], IDPs within condensates, such as RNP (ribonucleoprotein particle) granules or stress granules (SGs), engage misfolded proteins that result from defective ribosomal products [109]. In contrast, the promiscuous recruitment of misfolded proteins in the granules is avoided by the PN in normal conditions [16,109]. Surprisingly, while physiological SGs are devoid of misfolded proteins, and therefore, not recognized by the PN or autophagy machineries, aberrant SGs are rich in misfolded proteins, attracting members of the PN and autophagy machineries [16,110,111]. Along these lines, age-dependent decay in the activity of the PN [2] promotes the accumulation of aberrant SGs, as has indeed been observed in organisms of increasing age [112].
Rather than being cleared by autophagy, it appears that condensates are preferably disassembled by the PN, favoring the cellular recycling of the components [110]. Condensates, such as SGs, accumulate many different elements of the PN [110]. For instance, Hsp70 was found to be essential for dissolving SGs to reactivate translation in Drosophila after a heat shock [108]. In contrast, Hsp90 was found to be a key player for the formation and maintenance of P-bodies, which are cytoplasmic granules where inactive mRNAs and translation repressors are stored in a dormant state [113]. The inhibition of Hsp90 induces the disassembly of P-bodies, reactivating translation [113]. In addition, the inhibition of Hsp90 promotes the disassembly of TDP-43-containing SGs and pathogenic aggregates [114]. This apparent contradictory effect of Hsp70 versus Hsp90 in condensate maintenance and disassembly must be interpreted with caution since the pharmacological inhibition of Hsp90 usually induces the concomitant overactivation of Hsp70 and other sHsps [114,115,116]. The chaperone complex formed by Hsp70, the co-chaperone BAG3, and the sHsp Hspb8 is crucial for dissolving SGs and prevent the accumulation of aberrant granules in ALS [111,117]. In a sort of stepwise mechanism, Hsp70 promotes the rapid disassembly of SGs, where persisting aberrant SGs and remaining aggregates are transported through microtubules to protein inclusions for autophagic degradation [16].
It remains unclear how and which species are recognized by the Hsp70/Hsp90 machineries within the condensates. The lingering of misfolded proteins in high concentrations that are segregated either in the core or the periphery of the condensate [16,118] could promote structural conversions toward the acquisition of β-structure and cross-seeding processes as a starting point for amyloid formation [15], where these motifs could become targets for chaperone recognition. Audas and coworkers recently described the A-body, a nuclear condensate that arrests amyloidogenic proteins to languish in their aggregation in response to stressors [119]. Upon termination of the stress conditions, Hsp70 and Hsp90 chaperones disassemble the A-bodies and avoid the further aggregation of the constituents inside these condensates [119]. In addition, because aberrant SGs also enclose misfolded ribosomal products, improper regulation of SGs by the PN would not only promote the aggregation of amyloid proteins but also impair the synthesis of many proteins that are fundamental for the adaptation to aging due to the lack of function of these arrested ribosomal products [110]. Therefore, the misregulation of physiological condensates by the PN in aging can entail dramatic consequences, and deciphering the exact mechanisms of chaperone-mediated condensate dissolution or maintenance is imperative in this emerging field of research.

5. Pathological vs. Functional Amyloids

Amyloids are unbranched, elongated filamentous protein aggregates that are characterized by a “cross-β” X-ray diffraction pattern, which arises from the cross-β sheet quaternary structure of the amyloid fold [120,121]. In the amyloid fold, which is considered to lie in the lowest energy level of the folding energy landscapes as extremely stable folds [122], β-stranded protein conformers are stacked along the filament axis via hydrogen bonds into a parallel or anti-parallel β-sheet. Usually, more than one β-sheet align in parallel and 6–12 Å apart, which produces a dominant diffraction signal on the equator of the X-ray diffraction pattern. Along the β-sheets, β-strands are arranged perpendicular to the major filament axis and are interspaced by ≈4.8 Å, which gives a strong, sharp diffraction signal on the meridional axis of the diffraction pattern [123] (Figure 3a). In addition to these specific structural features, amyloids are usually (i) resistant to proteases [124]; (ii) resistant to treatment with ionic detergents, such as sodium dodecyl sulfate [125]; (iii) upon binding to the Congo red dye, they exhibit an apple-to-green birefringence when viewed between crossed polarizers [126], while binding to the benzathiole dye Thioflavin-T produces a dramatic increase in fluorescence intensity [127].
Amyloid deposition has been associated with ≈50 human diseases. Particularly, in the human nervous system, amyloid deposition of widely expressed, multifunctional, and conformationally flexible proteins is a hallmark of cell-type-specific degenerative disorders in different regions of the brain [5]. However, the history of self-replicating amyloid states that operate in diverse biological phenomena, known as “functional amyloids,” is relatively short. Nonetheless, functional amyloids have been found to play key roles in several systems, including:
(i)
Scaffolding systems, such as curli in microbial biofilm, providing a scaffold to protect bacteria and promote adherence to host cells [128].
(ii)
Storage systems, such as Pmel17, which allows for the sequestration and condensation of melanin in the lumen of melanosomes [129]; vicilin, a 7S globulin in garden pea Pisum sativum L. seeds, which plays a crucial role in seed longevity [130]; peptide hormones for storage and release of certain hormones in the pituitary secretory granules [8]; Xvelo in Xenopus or Bucky Ball in zebrafish, which form a non-membranous compartment termed the Balbiani body to store germline-specific maternal mRNAs [131].
(iii)
Signal transduction systems, such as the RIPK1-RIPK3 heterodimer, which controls necrotic signaling in mammals [132], or the fungal prion [HET-s], which regulates heterokaryon incompatibility between genetically similar fungi acting as a trigger for cell death activation [133].
(iv)
Translation regulator systems, such as the yeast prion [PSI+], a general translational terminator that provides heritable phenotypic variability [134]; Rim4, a translation inhibitor of cyclin mRNA that controls gametogenesis [135]; or Orb2, the Drosophila member of the mRNA-binding cytoplasmic polyadenylation element family of proteins [136,137].
(v)
Enzymatic systems, such as the membrane-associated protein Herzog (Hzg), which is required for the proper establishment of segment polarity in Drosophila embryo through an amyloid-like assembly that activates a phosphatase that is crucial for proper development [138].
Accordingly, although amyloids are widely associated with human disease, they are also utilized by diverse biological systems to control protein function in a context-dependent way. This versatility raises questions regarding the regulatory mechanisms used by the cell to disassemble pathological amyloids, and at the same time, to modulate the assembly and disassembly of functional amyloids when required. Understanding the structural differences between functional and pathological amyloids should provide valuable insights into these questions. Since the development of the landmark approach that is used to determine the atomic-resolution structures of amyloids [123], solid-state NMR and cryo-EM have revolutionized the high-resolution structure determination of patient-derived pathological amyloids in recent years [139,140,141,142,143]. By definition, across the amyloid formation pathways, several polymorphic amyloids with different maturity will be formed [5]. On top of that, an analysis of ex vivo samples revealed disease-specific amyloid structures for tau [139,140,141,142,143] and α-synuclein [144], as well as the presence of abundant hydrophobic interfaces that contribute to amyloid stability [145].
As opposed to the highly stable, hydrophobic amyloid cores of pathological amyloids, the core of functional amyloids is more versatile, with hydrophilic interfaces, kinked-β sheets [146], and charged residues that confer amyloid instability. For example, the translator regulator CPEB/Orb2, when isolated from adult fruit fly heads, forms a functional amyloid that is composed of a less stable, pH-dependent, hydrophilic amyloid core [9]. The prion-like protein [HET-s] from Podospora anserine, which assembles in vitro to form a left-handed β-solenoid composed of four in-register parallel β-sheets, is another representative example of a hydrophilic amyloid [147]. In addition, several human RNA-binding proteins implicated in the formation of dynamic SGs in response to cellular stress, such as hnRNPA1, hnRNPA2, or FUS, can form hydrophilic, reversible amyloids that are incompatible with the canonical dry-steric-zipper structure that is abundantly observed in pathological amyloids [148,149,150,151]. Altogether, these studies indicate that hydrophilic interfaces, which contribute with smaller stabilization solvation energy [151], could be associated with stable, yet hypothetically reversible, functional amyloids, while hydrophobic interfaces are abundant in irreversible, pathological amyloids [145] (Figure 3b).

6. Interplay between Chaperones and Amyloids

Given their high thermodynamic stability, it remains poorly understood as to what extent cellular regulatory mechanisms disassemble already existing pathological amyloids in vivo. As part of the PN, molecular chaperones not only interfere with early nucleation and amyloid elongation processes but also disassemble already existing pathological amyloids [5]. The Hsp70 disaggregation machinery (composed of Hsp70, Hsp40, and Hsp110-type nucleotide exchange factors; Figure 1) has the capacity to disassemble in vitro preformed amyloids of tau [154], α-synuclein [28,155,156,157], and HTT [55] with varying efficiencies. Furthermore, tau amyloid extracted from human Alzheimer’s brain tissue was disassembled by Hsp70, demonstrating that this disaggregation machinery is able to dissociate disease-relevant species [154]. Although the mechanistic basis of amyloid recognition and disassembly by the Hsp70 disaggregation machinery is still poorly understood, it promotes the release of monomers from in-vitro-assembled α-synuclein amyloids, possibly via two different modes of operation: amyloid fragmentation and end depolymerization [156]. Strikingly, amyloid disaggregation could have negative biological implications since small polymorphic fragments could recruit available monomers and seed novel amyloid formation [156]. Indeed, in vivo, the Hsp70 disaggregation activity increases the amyloid burden through the formation of toxic amyloid-type species of α-synuclein and polyglutamine expansions in Caenorhabditis elegans [158].
On its own, Hsp90 can disassemble in-vitro-preformed TDP-43 amyloids [159]. In collaboration with nicotinamide mononucleotide adenylyl transferases (NMNATs), Hsp90 can function as a neuroprotective chaperone, disaggregating and refolding previously aggregated proteins, such as tau, through an unclear mechanism in which Hsp90 might activate the C-terminal ATP-binding site of NMNAT, conferring to NMNAT a chaperone activity [160]. Consequently, further studies are necessary to clarify the exact role of the chaperone disaggregation machineries dissolving pathological amyloids and their role with toxicity in vivo, especially in the nervous system, since in postmitotic neurons, the amyloid load cannot be diluted by cell division.
On the other hand, a certain degree of reversibility is favorable for broader biological functions [3,5]. Thus, although functional amyloids share biophysical properties with pathological ones [5], in order to restrict functions both in space and time, the formation of a functional amyloid fold must arise in response to extra- or intracellular stimuli. These stimuli, although stable, must be dynamic or even reversible through regulatory mechanisms. For example, amyloid assembly makes Hzg a catalytically active phosphatase in a context-dependent way (i.e., during gastrulation), which implies the presence of still unknown regulatory processes for amyloid assembly, and perhaps disassembly, during embryonic patterning and tissue specification [138]. In this scenario, PN machineries could (i) allow or, when required, even promote functional amyloid assembly, such as the JJJ2, which is a DNAJ co-chaperone that has been found to enhance Orb2 aggregation and facilitate long-term memory formation, when exogenously expressed in Drosophila [161]; (ii) assist with amyloid disassembly once the function is performed, such as the Hsp104 chaperone, which has the ability to fragment [PSI+] amyloids into smaller fragments, and is required for prion propagation in yeast [162]. Remarkably, the hydrophilic nature of functional amyloids not only provides the necessary instability for functional turnover but might also have an impact on different regulatory mechanisms. For example, in Orb2, the protonation state of histidine residues due to pH changes could influence Orb2 amyloid stability, as has been suggested for other functional amyloids, such as mammalian Pmel17 [163,164] or bacterial curli [165]. Along these lines, the decrease in stability of functional amyloids compared to pathological amyloids can entail a faster dissociation rate, as this rate was determined to correlate with amyloid stability and, in general, with toxicity [166].
Mechanistically, it is well understood how Hsp70 binds extended substrates in a process that is tightly regulated by Hsp40 and NEF/Hsp110 (Figure 1). Still, how Hsp70 SBD can accommodate large folded states, such as amyloids, remains unclear. Structural evidence suggests that the α-helical lid subdomain can adopt largely different conformational states and does not entirely close over the bound substrate, presenting a more suitable scenario for amyloid recognition by Hsp70 [167]. The Hsp70 disaggregation machinery functional cycle occurs on amyloid surfaces and follows a nucleation model [157]. For α-synuclein disaggregation, DNAJB1 first recognizes aggregated α-synuclein through multivalent interactions with the flexible C-terminal tails (residues 123–129). Importantly, the motifs selected by Hsp40 that trigger its recruitment onto the amyloid surface remain largely unknown. The specific interaction of DNAJB1 with aggregated α-synuclein promotes the crowding of Hsp70 at the surface of the aggregate through multiple recruitment cycles. Here, Hsp70 interacts mostly with hydrophobic and lysine-rich regions located at the N terminus of α-synuclein (residues 1–10 and 37–43). Hsp110 potentiates α-synuclein amyloid disaggregation, acting together with DNAJB1 loading Hsp70 proteins in a densely packed arrangement at the aggregate surface, which is key for the generation of entropic-pulling forces that destabilize the amyloid fold [157,168,169]. In this process, the aforementioned DNAJB1 Gly-Phe auto-inhibition is key for efficient targeting and clustering of Hsp70 onto the surface of an α-synuclein amyloid [28]. While Hsp110 is key for aggregate disassembly, the Hsp40 family member availability drives the aggregate specificity [28,157,170]. Hence, it seems probable that structural variations in pathological and functional amyloids, such as the presence of hydrophobic versus hydrophilic interfaces (Figure 3), may be reflected in a diversity of different Hsp40 requirements, which provide flexible target selectivity, raising the possibility of the simultaneous disassembly of functional and pathological amyloids. Alternatively, the potential structural heterogeneity exhibited by the pathological and functional amyloid assemblies might require Hsp70/Hsp90-independent, alternative disaggregation activities, such as the recently reported RuvBL1/2, Cyp40, and HTRA1, which allow, through diverse mechanisms, amyloid disassembly in the metazoan cytoplasm [171,172,173].

7. Aberrant Chaperone Complexes Have Deleterious Consequences

Despite the abundant examples of chaperones halting aggregation or dissolving condensates, several chaperone complexes have been described as able to trigger pathogenic aggregation of the client proteins, therefore, displaying a pro-toxic role. The peptidyl-proline isomerase (PPIase) FKBP51 is a major Hsp90 co-chaperone that aids in the profolding of multiple substrates [22]. FKBP51 was found to be overexpressed in aged brains and, particularly, in Alzheimer’s brains, where it specifically synergized with Hsp90 to promote the pathogenic aggregation of tau [92]. When FKBP51 interacts in a symmetric manner with the Hsp90 dimer, the bound tau ensemble reshapes toward the nucleation of tau’s proline-rich region near FKBP51′s PPIase catalytic site [26], which would promote the cistrans isomerization of the abundant proline residues in this particular region of tau. This reaction has a strong influence on the proper balance of tau hyperphosphorylation (and therefore, its pathogenic aggregation [72]) since phosphorylation of Thr residues promotes cis isomerization of the closest proline residue in the sequence due to spatial constraints [174]. Indeed, cis-proline, but not trans-proline, phosphorylated tau is found in protein deposits in the brains of humans with mild cognitive impairment [175]. PIN1 PPIase efficiently converts cis-proline into trans-proline and is considered a key safeguard PPIase against the pathogenic aggregation of tau [176]. Nonetheless, during Alzheimer’s disease progression, PIN1 function is downregulated, which is weighed by the upregulation of the highly similar PPIase FKBP51 [91,176]. This compensatory upregulation of FKBP51 has a dramatic downside since FKBP51 binds Hsp90 with a high affinity via its TPR repeats [26], which will compete with the binding of the CHIP co-chaperone to Hsp90. The removal of CHIP uncouples the proteasomal clearance of Hsp90 clients, leading ultimately to the aberrant aggregation of tau [92]. Still, because FKBP51 bears cistrans PPIase activity, which would in principle modulate the hyperphosphorylation of tau [176], the puzzling pro-toxic role displayed by FKBP51 on tau is still not fully understood. In addition, following a recent hypothesis postulating that the catalytic PPIase activity would be only a minor role of PPIases in aiding the folding activity of Hsp90 [177], it could well be that the transfiguration that Hsp90:FKBP51 induces on tau eliminates the interactions established between different regions of tau that protect the protein from aggregation [83,178]. Several other Hsp90 co-chaperones, such as Aha1, were also found to be elevated in Alzheimer’s brains, and to promote tau deposition and neurotoxicity, while the levels of protective co-chaperones were reduced, or even repressed, in aging and Alzheimer’s brains [179]. Thus, besides the abovementioned age-related PN decay, the balancing of the expression levels of members of the chaperome regulate the toxic aggregation in the cell and may contribute to disease onset and progression.
In a similar scenario, an excess of client recognition may lead to collateral damage. Increasing evidence of co-localization between tau and TDP-43 in amyloid deposits found in dementia brains suggest comorbid tau and TDP-43 pathologies [180]. Despite evidence of an interaction between tau and TDP-43 that may facilitate pathogenic conversions in one or both proteins [180,181], excessive recruitment of the chaperome by one of the proteins could also cause an imbalance in the triaging of the other protein assisted by the PN. Hsp90 in complex with the co-chaperone Cdc37 is responsible for the preservation of inactive TDP-43 in the nucleus [90]. The removal of Cdc37 promotes the proteolytic cleavage of TDP-43 and its transfer via Hsp90 to the autophagic machinery for degradation. Strikingly, the accumulation of tau in the cytosol would hijack Hsp90, ultimately leading to the accumulation of cleaved TDP-43 [90]. Somehow similarly, Hsp90:HTT interaction recruits the deubiquitinating enzyme ubiquitin-specific protease 19 (USP19), which promotes the upregulation of HTT and subsequently enhances its aggregation [89]. Indeed, the inhibition of the Hsp90:HTT interaction attenuates the upregulation of HTT mediated by USP19. Polyglutamine-expanded HTT aggregates could, therefore, hijack Hsp90 and Hsp70, causing a collapse of the proteostasis [89], which would impair several elementary cellular functions [182,183].
In a somewhat simplified view, it has been proposed that a combined therapeutic strategy that includes the inhibition of Hsp90 and potentiation of Hsp70 would provide neuroprotection based on the assumption that Hsp90 stabilizes the clients and Hsp70 promotes their degradation [184]. We have provided several examples documenting the fact that Hsp90 and Hsp70 offer a wide palette of effects on protein misfolding diseases, which suggests that the targets for therapeutic intervention should probably be focused more succinctly on other members of the chaperome. The inhibition of Hsp90 has been shown to be effective in Alzheimer’s, Parkinson’s, and Huntington’s diseases, as well as stroke and autoimmune encephalomyelitis [185,186,187,188]. However, because Hsp90 is an elementary member of the PN involved in the regulation of multiple cellular functions, its inhibition causes the overactivation of the heat shock response during extended periods, which may give rise to deleterious effects in the cell or exacerbated pro-inflammatory responses [76,184,189], as well as acquired resistance to the inhibitor [190]. Along these lines, targeting specific chaperone:co-chaperone complexes appear to be more promising for developing treatments for devastating neurodegenerative diseases [26,34,90,91,92,93]. For instance, Hsp70 paralogs showing a higher affinity for the co-chaperone Hsph2 showed potent degradation of an ALS-related mutant SOD1, while those Hsp70 paralogs preferring the co-chaperone Hop promoted SOD1 toxic aggregation [191]. In addition, while Hsp70 is responsible for suppressing α-synuclein aggregation, a single point modification on its partner Hsp40 can mute Hsp70′s action, leading to the deleterious accumulation of α-synuclein [192]. Hence, despite decades of awareness of the potency of chaperones as valuable targets for protein misfolding diseases [189], a deeper understanding of the interplay of the large variety of co-chaperones is key for developing strategic therapeutic approaches. In addition to the large complexity of the chaperome, natural polymorphisms may exist in humans [193]. Therefore, further research is needed in order to adequately manipulate the PN in age-related diseases.

8. Concluding Remarks

Hsp70 and Hsp90 chaperones have become primary therapeutic targets for a range of age-related diseases, which entail huge socio-economic impacts. Nonetheless, the interplay of chaperones and protein misfolding, LLPS, or aggregation is intricate and strongly regulated by co-chaperones. In this review, we present compelling evidence showing that co-chaperones may play leading roles in regulating protein misfolding and should be systematically included in mechanistic studies toward the understanding of pathogenic protein aggregation. Thus, in the future, we expect more members of the chaperome to be considered as potential therapeutic targets for proteinopathies with increased selectivity, as well as including natural polymorphisms, which may dictate different susceptibilities toward the diseases between individuals. In addition, many protein misfolding diseases feature context specificity, especially in those affecting the nervous system, where specific cell types are affected in each disease. Deciphering how the cell utilizes a cohort of chaperones or co-chaperones in a context-dependent manner, such as aging, can help us understand how cell-specific protein conformational diseases may arise. High-resolution structural studies are imperative for the understanding of the basis of the chaperone mode of action in the context of protein misfolding diseases. Because the proteins undergoing pathogenic structural conversions, condensation, or aggregation, as well as the members of the chaperome, are highly dynamic and form large proteinaceous assemblies, an integrative structural biology approach is required for their detailed comprehension. We anticipate that the combination of state-of-the-art NMR spectroscopy that is employed on soluble complexes and in biomolecular condensates, along with cryo-EM on ordered aggregates, will provide breakthroughs in the molecular mechanisms of protein misfolding diseases during the next exciting decades.

Author Contributions

R.H. and J.O.: writing—original draft preparation, review, and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the BBVA Foundation (grant number BBM-TRA-0203) and the Spanish AEI/EU-FEDER (grant number PID2019-109276RA-I00). J.O. is a Ramón y Cajal fellow from the Spanish AEI—Ministry of Science and Innovation.

Acknowledgments

Critical reviews of the manuscript by Douglas V. Laurents and María Gasset are acknowledged.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the writing of this manuscript.

Abbreviations

PNProteostasis network
LLPSLiquid–liquid phase separation
HspHeat-shock protein
sHspSmall Hsp
NBDNucleotide-binding domain (Hsp70)
SBDSubstrate-binding domain (Hsp70)
TPRTetratricopeptide repeat
HopHsp-organizing protein
NTDN-terminal domain (Hsp90)
MDMiddle domain (Hsp90)
CTDC-terminal domain (Hsp90)
NEFNucleotide exchange factor
ATPAdenosine triphosphate
TTRTransthyretin
SOD1Superoxide dismutase 1
ALSAmyotrophic lateral sclerosis
IDPIntrinsically disordered protein
HTTHuntingtin
IAPPIslet amyloid polypeptide
TDP-43TAR DNA binding protein of 43 kDa
NMRNuclear magnetic resonance
Amyloid-β
RNPRibonucleoprotein particle
SGStress granule
HzgHerzog
NMNATNicotinamide mononucleotide adenylyl transferase
PPIasePeptidyl-proline isomerase
USP19Ubiquitin-specific protease 19

References

  1. Powers, E.T.; Morimoto, R.I.; Dillin, A.; Kelly, J.W.; Balch, W.E. Biological and chemical approaches to diseases of proteostasis deficiency. Annu. Rev. Biochem. 2009, 78, 959–991. [Google Scholar] [CrossRef] [Green Version]
  2. Labbadia, J.; Morimoto, R.I. The biology of proteostasis in aging and disease. Annu. Rev. Biochem. 2015, 84, 435–464. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Hipp, M.S.; Kasturi, P.; Hartl, F.U. The proteostasis network and its decline in ageing. Nat. Rev. Mol. Cell Biol. 2019, 20, 421–435. [Google Scholar] [CrossRef] [PubMed]
  4. Brehme, M.; Voisine, C.; Rolland, T.; Wachi, S.; Soper, J.H.; Zhu, Y.; Orton, K.; Vilella, A.; Garza, D.; Vidal, M.; et al. A chaperome subnetwork safeguards proteostasis in aging and neurodegenerative disease. Cell Rep. 2014, 9, 1135–1150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Chiti, F.; Dobson, C.M. Protein misfolding, amyloid formation and human disease: A summary of progress over the last decade. Annu. Rev. Biochem. 2017, 86, 27–68. [Google Scholar] [CrossRef] [PubMed]
  6. Kyle, R.A. Amyloidosis: A convoluted story. Br. J. Haemat. 2001, 114, 529–538. [Google Scholar] [CrossRef]
  7. Si, K.; Lindquist, S.; Kandel, E.R. A neuronal isoform of the Aplysia CPEB has prion-like properties. Cell 2003, 115, 879–891. [Google Scholar] [CrossRef] [Green Version]
  8. Maji, S.K.; Perrin, M.H.; Sawaya, M.R.; Jessberger, S.; Vadodaria, K.; Rissman, R.A.; Singru, P.S.; Nilsson, K.P.R.; Simon, R.; Schubert, D.; et al. Functional amyloids as natural storage of peptide hormones in pituitary secretory granules. Science 2009, 325, 328–332. [Google Scholar] [CrossRef] [Green Version]
  9. Hervás, R.; Rau, M.J.; Park, Y.; Zhang, W.; Murzin, A.G.; Fitzpatrick, J.A.J.; Scheres, S.H.W.; Si, K. Cryo-EM structure of a neuronal functional amyloid implicated in memory persistence in Drosophila. Science 2020, 367, 1230–1234. [Google Scholar] [CrossRef]
  10. Arnold, E.S.; Ling, S.-C.; Huelga, S.C.; Lagier-Tourenne, C.; Polymenidou, M.; Ditsworth, D.; Kordasiewicz, H.B.; McAlonis-Downes, M.; Platoshyn, O.; Parone, P.A.; et al. ALS-linked TDP-43 mutations produce aberrant RNA splicing and adult-onset motor neuron disease without aggregation or loss of nuclear TDP-43. Proc. Natl. Acad. Sci. USA 2013, 110, E736–E745. [Google Scholar] [CrossRef] [Green Version]
  11. Gordon, D.; Dafinca, R.; Scaber, J.; Alegre-Abarrategui, J.; Farrimond, L.; Scott, C.; Biggs, D.; Kent, L.; Oliver, P.L.; Davies, B.; et al. Single-copy expression of an amyotrophic lateral sclerosis-linked TDP-43 mutation (M337V) in BAC transgenic mice leads to altered stress granule dynamics and progressive motor dysfunction. Neurobiol. Dis. 2019, 121, 148–162. [Google Scholar] [CrossRef] [PubMed]
  12. Hervás, R.; Oroz, J.; Galera-Prat, A.; Goñi, O.; Valbuena, A.; Vera, A.M.; Gómez-Sicilia, A.; Losada-Urzáiz, F.; Uversky, V.N.; Menéndez, M.; et al. Common features at the start of the neurodegeneration cascade. PLoS Biol. 2012, 10, e1001335. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Escusa-Toret, S.; Vonk, W.I.M.; Frydman, J. Spatial sequestration of misfolded proteins by a dynamic chaperone pathway enhances cellular fitness during stress. Nat. Cell Biol. 2013, 15, 1231–1243. [Google Scholar] [CrossRef] [Green Version]
  14. Bolognesi, B.; Faure, A.J.; Seuma, M.; Schmiedel, J.M.; Tartaglia, G.G.; Lehner, B. The mutational landscape of a prion-like domain. Nat. Commun. 2019, 10, 4162. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Alberti, S.; Hyman, A.A. Are aberrant phase transitions a driver of cellular aging? Bioessays 2016, 38, 959–968. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Mateju, D.; Franzmann, T.M.; Patel, A.; Kopach, A.; Boczek, E.E.; Maharana, S.; Lee, H.O.; Carra, S.; Hyman, A.A.; Alberti, S. An aberrant phase transition of stress granules triggered by misfolded protein and prevented by chaperone function. EMBO J. 2017, 36, 1669–1687. [Google Scholar] [CrossRef] [PubMed]
  17. Oroz, J.; Laurents, D.V. RNA binding proteins: Diversity from microsurgeons to cowboys. Biochim. Biophys. Acta Gene Regul. Mech. 2019, 1862, 194398. [Google Scholar] [CrossRef] [PubMed]
  18. Inda, M.C.; Joshi, S.; Wang, T.; Bolaender, A.; Gandu, S.; Koren, J., III; Che, A.Y.; Taldone, T.; Yan, P.; Sun, W.; et al. The epichaperome is a mediator of toxic hippocampal stress and leads to protein connectivity-based dysfunction. Nat. Commun. 2020, 11, 319. [Google Scholar] [CrossRef] [Green Version]
  19. Ritossa, F. Discovery of the heat shock response. Cell Stress Chaperones 1996, 1, 97–98. [Google Scholar] [CrossRef] [Green Version]
  20. Haslbeck, M.; Franzmann, T.; Weinfurtner, D.; Buchner, J. Some like it hot: The structure and function of small heat-shock proteins. Nat. Struct. Mol. Biol. 2005, 12, 842–846. [Google Scholar] [CrossRef]
  21. Kim, Y.E.; Hipp, M.S.; Bracher, A.; Hayer-Hartl, M.; Hartl, F.U. Molecular chaperone functions in protein folding and proteostasis. Annu. Rev. Biochem. 2013, 82, 323–355. [Google Scholar] [CrossRef] [PubMed]
  22. Schopf, F.H.; Biebl, M.M.; Buchner, J. The HSP90 chaperone machinery. Nat. Rev. Molec. Cell Biol. 2017, 18, 345–360. [Google Scholar] [CrossRef] [PubMed]
  23. Taipale, M.; Jarosz, D.F.; Lindquist, S. HSP90 at the hub of protein homeostasis: Emerging mechanistic insights. Nat. Rev. Molec. Cell Biol. 2010, 11, 515–528. [Google Scholar] [CrossRef]
  24. Mayer, M.P.; Gierasch, L.M. Recent advances in the structural and mechanistic aspects of Hsp70 molecular chaperones. J. Biol. Chem. 2019, 294, 2085–2097. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Oroz, J.; Kim, J.H.; Chang, B.J.; Zweckstetter, M. Mechanistic basis for the recognition of a misfolded protein by the molecular chaperone Hsp90. Nat. Struct. Mol. Biol. 2017, 24, 407–413. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Oroz, J.; Chang, B.J.; Wysoczanski, P.; Lee, C.-T.; Pérez-Lara, A.; Chakraborty, P.; Hofele, R.V.; Baker, J.D.; Blair, L.J.; Biernat, J.; et al. Structure and pro-toxic mechanism of the human Hsp90/PPIase/Tau complex. Nat. Commun. 2018, 9, 4532. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Kampinga, H.H.; Craig, E.A. The HSP70 chaperone machinery: J proteins as drivers of functional specificity. Nat. Rev. Mol. Cell Biol. 2010, 11, 579–592. [Google Scholar] [CrossRef] [Green Version]
  28. Faust, O.; Abayev-Avraham, M.; Wentik, A.S.; Maurer, M.; Nillegoda, N.B.; London, N.; Bukau, B.; Rosenzweig, R. HSP40 proteins use class-specific regulation to drive HSP70 functional diversity. Nature 2020, 587, 489–494. [Google Scholar] [CrossRef]
  29. Dean, M.E.; Johnson, J.L. Human Hsp90 cochaperones: Perspectives on tissue-specific expression and identification of cochaperones with similar in vivo functions. Cell Stress Chaper. 2020, 1–11. Available online: https://link.springer.com/article/10.1007/s12192-020-01167-0 (accessed on 30 November 2020). [CrossRef]
  30. Peterson, L.B.; Blagg, B.S.J. To fold or not to fold: Modulation and consequences of Hsp90 inhibition. Future Med. Chem. 2009, 1, 267–283. [Google Scholar] [CrossRef] [Green Version]
  31. Karamanos, T.; Tugarinov, V.; Clore, G.M. Unraveling the structure and dynamics of the human DNAJB6b chaperone by NMR reveals insights into Hsp40-mediated proteostasis. Proc. Natl. Acad. Sci. USA 2019, 116, 21529–21538. [Google Scholar] [CrossRef] [Green Version]
  32. Kabani, M.; Martineau, C.N. Multiple Hsp70 isoforms in the eukayoric cytosol: Mere redundancy or functional specificity? Curr. Genomics 2008, 9, 338–348. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. English, C.A.; Sherman, W.; Meng, W.; Gierasch, L.M. The Hsp70 interdomain linker is a dynamic switch that enables allosteric communication between two structured domains. J. Biol. Chem. 2017, 292, 14765–14774. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Jinwal, U.K.; Akoury, E.; Abisambra, J.F.; O’Leary, J.C., 3rd; Thompson, A.D.; Blair, L.J.; Jin, Y.; Bacon, J.; Nordhues, B.A.; Cockman, M.; et al. Imbalance of Hsp70 family variants fosters tau accumulation. FASEB J. 2013, 27, 1450–1459. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Lott, A.; Oroz, J.; Zweckstetter, M. Molecular basis of the interaction of Hsp90 with its co-chaperone Hop. Protein Sci. 2020. [Google Scholar] [CrossRef] [PubMed]
  36. Csermely, P.; Schnaider, T.; Soti, C.; Prohaszka, Z.; Nardai, G. The 90-kDa molecular chaperone family: Structure, function, and clinical applications. A comprehensive review. Pharmacol. Ther. 1998, 79, 129–168. [Google Scholar] [CrossRef]
  37. Verba, K.A.; Wang, R.Y.-R.; Arakawa, A.; Liu, Y.; Shirouzu, M.; Yokoyama, S.; Agard, D.A. Atomic structure of Hsp90-Cdc37-Cdk4 reveals that Hsp90 traps and stabilizes an unfolded kinase. Science 2016, 352, 1542–1547. [Google Scholar] [CrossRef] [Green Version]
  38. Daturpalli, S.; Kniess, R.A.; Lee, C.T.; Mayer, M.P. Large rotation of the N-terminal domain of Hsp90 is important for interaction with some but not all client proteins. J. Mol. Biol. 2017, 429, 1406–1423. [Google Scholar] [CrossRef]
  39. Zhao, R.; Davey, M.; Hsu, Y.C.; Kaplanek, P.; Tong, A.; Parsons, A.B.; Krogan, N.; Cagney, G.; Mai, D.; Greenblatt, J.; et al. Navigating the chaperone network: An integrative map of physical and genetic interactions mediated by the Hsp90 chaperone. Cell 2005, 120, 715–727. [Google Scholar] [CrossRef] [Green Version]
  40. Meyer, P.; Prodromou, C.; Liao, C.; Hu, B.; Roe, S.M.; Vaughan, C.K.; Vlasic, I.; Panaretou, B.; Piper, P.W.; Pearl, L.H. Structural basis for recruitment of the ATPase activator Aha1 to the Hsp90 chaperone machinery. EMBO J. 2004, 23, 1402–1410. [Google Scholar] [CrossRef] [Green Version]
  41. Ali, M.M.U.; Roe, S.M.; Vaughan, C.K.; Meyer, P.; Panaretou, B.; Piper, P.W.; Prodromou, C.; Pearl, L.H. Crystal structure of an Hsp90-nucelotide-p23/Sba1 closed chaperone complex. Nature 2006, 440, 1013–1017. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Zhang, M.; Kadota, Y.; Prodromou, C.; Shirasu, K.; Pearl, L.H. Structural basis for assembly of Hsp90-Sgt1-CHORD protein complexes: Implications for chaperoning of NLR innate immunity receptors. Mol. Cell 2010, 39, 269–281. [Google Scholar] [CrossRef] [PubMed]
  43. Oroz, J.; Blair, L.J.; Zweckstetter, M. Dynamic Aha1 co-chaperone binding to human Hsp90. Prot. Sci. 2019, 28, 1545–1551. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Liu, Y.; Sun, M.; Myasnikov, A.G.; Elnatan, D.; Delaeter, N.; Nguyenquang, M.; Agard, D.A. Cryo-EM structures reveal a multistep mechanism of Hsp90 activation by co-chaperone Aha1. Biorxiv 2020. [Google Scholar] [CrossRef]
  45. Bertelsen, E.B.; Chang, L.; Gestwicki, J.E.; Zuiderweg, E.R.P. Solution conformation of wild-type E. coli Hsp70 (DnaK) chaperone complexed with ADP and substrate. Proc. Natl. Acad. Sci. USA 2009, 106, 8471–8476. [Google Scholar] [CrossRef] [Green Version]
  46. Kityk, R.; Kopp, J.; Mayer, M.P. Molecular mechanism of J-domain-triggered ATP hydrolysis by Hsp70 chaperones. Mol. Cell 2018, 69, 227–237. [Google Scholar] [CrossRef]
  47. Muller, P.; Ruckova, E.; Halada, P.; Coates, P.J.; Hrstka, R.; Lane, D.P.; Vojtesek, B. C-terminal phosphorylation of Hsp70 and Hsp90 regulates alternative binding to co-chaperones CHIP and HOP to determine cellular protein folding/degradation balances. Oncogene 2013, 32, 3101–3110. [Google Scholar] [CrossRef]
  48. He, M.; Guo, H.; Yang, X.; Zhou, L.; Zhang, X.; Cheng, L.; Zeng, H.; Hu, F.B.; Tanguay, R.M.; Wu, T. Genetic variations in HSPA8 gene associated with coronary heart disease risk in a Chinese population. PLoS ONE 2010, 5, e9684. [Google Scholar] [CrossRef] [PubMed]
  49. Harms, M.B.; Sommerville, R.B.; Allred, P.; Bell, S.; Ma, D.; Cooper, P.; Lopate, G.; Pestronk, A.; Weihl, C.C.; Baloh, R.H. Exome sequencing reveals DNAJB6 mutations in dominantly-inherited myopathy. Ann. Neurol. 2012, 71, 407–416. [Google Scholar] [CrossRef] [PubMed]
  50. Blumen, S.C.; Astord, S.; Robin, V.; Vignaud, L.; Toumi, N.; Cieslik, A.; Achiron, A.; Carasso, R.L.; Gurevich, M.; Braverman, I.; et al. A rare recessive distal hereditary motor neuropathy with HSJ1 chaperone mutation. Ann. Neurol. 2012, 71, 509–519. [Google Scholar] [CrossRef] [PubMed]
  51. Farhan, S.M.K.; Howrigan, D.P.; Abbott, L.E.; Klim, J.R.; Topp, S.D.; Byrnes, A.E.; Churchhouse, C.; Phatnani, H.; Smith, B.N.; Rampersaud, E.; et al. Exome sequencing in amyotrophic lateral sclerosis implicates a novel gene, DNAJC7, encoding a heat-shock protein. Nat. Neurosci. 2019, 22, 1966–1974. [Google Scholar] [CrossRef] [PubMed]
  52. Sittler, A.; Lurz, R.; Lueder, G.; Priller, J.; Lehrach, H.; Hayer-Hartl, M.K.; Hartl, F.U.; Wanker, E.E. Geldanamycin activates a heat shock response and inhibits huntingtin aggregation in a cell culture model of Huntington’s disease. Hum. Mol. Genet. 2001, 10, 1307–1315. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Auluck, P.K.; Chan, H.Y.E.; Trojanowski, J.Q.; Lee, V.M.Y.; Bonini, N.M. Chaperone suppression of alpha-synuclein toxicity in a Drosophila model for Parkinson’s disease. Science 2002, 295, 865–868. [Google Scholar] [CrossRef] [PubMed]
  54. Hageman, J.; Rujano, M.A.; van Waarde, M.A.W.H.; Kakkar, V.; Dirks, R.P.; Govorukhina, N.; Oosterveld-Hut, H.M.J.; Lubsen, N.H.; Kampinga, H.H. A DNAJB chaperone subfamily with HDAC-dependent activities suppresses toxic protein aggregation. Mol. Cell 2010, 37, 355–369. [Google Scholar] [CrossRef]
  55. Scior, A.; Buntru, A.; Arnsburg, K.; Ast, A.; Iburg, M.; Juenemann, K.; Pigazzini, M.L.; Mlody, B.; Puchkov, D.; Priller, J.; et al. Complete suppression of Htt fibrillization and disaggregation of Htt fibrils by a trimeric chaperone complex. EMBO J. 2017, 37, 282–298. [Google Scholar] [CrossRef]
  56. Bersuker, K.; Hipp, M.S.; Calamini, B.; Morimoto, R.I.; Kopito, R.R. Heat shock response activation exacerbates inclusion body formation in a cellular model of Huntington disease. J. Biol. Chem. 2013, 288, 23633–23638. [Google Scholar] [CrossRef] [Green Version]
  57. Benson, M.D.; Uemichi, T. Transthyretin amyloidosis. Amyloid 1996, 3, 44–56. [Google Scholar] [CrossRef]
  58. Planté-Bordeneuve, V.; Said, G. Transthyretin related familial amyloid polyneuropathy. Curr. Opin. Neurol. 2000, 13, 569–573. [Google Scholar] [CrossRef]
  59. Kim, J.H.; Oroz, J.; Zweckstetter, M. Structure of monomeric transthyretin carrying the clinically important T119M mutation. Angew. Chem. Int. Ed. 2016, 55, 16168–16171. [Google Scholar] [CrossRef] [Green Version]
  60. Santos, S.D.; Magalhães, J.; Saraiva, M.J. Activation of the heat shock response in familial amyloidotic polyneuropathy. J. Neuropathol. Exp. Neurol. 2008, 67, 449–455. [Google Scholar] [CrossRef] [Green Version]
  61. Masser, A.E.; Kang, W.; Roy, J.; Kaimal, J.M.; Quintana-Cordero, J.; Friedländer, M.R.; Andréasson, C. Cytoplasmic protein misfolding titrates Hsp70 to activate nuclear Hsf1. eLife 2019, 8, e47791. [Google Scholar] [CrossRef] [PubMed]
  62. Fernandez-Funez, P.; Casas-Tinto, S.; Zhang, Y.; Gómez-Velazquez, M.; Morales-Garza, M.A.; Cepeda-Nieto, A.C.; Castilla, J.; Soto, C.; Rincon-Limas, D.E. In vivo generation of neurotoxic prion protein: Role for Hsp70 in accumulation of misfolded isoforms. PLoS Genet. 2009, 5, e1000507. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Luchinat, E.; Barbieri, L.; Rubino, J.T.; Kozyreva, T.; Cantini, F.; Banci, L. In-cell NMR reveals potential precursor of toxic species from SOD1 fALS mutants. Nat. Commun. 2014, 5, 5502. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Zetterström, P.; Graffmo, K.S.; Andersen, P.M.; Brännström, T.; Marklund, S.L. Proteins that bind to misfolded mutant superoxide dismutase-1 in spinal cord from transgenic amyotrophic lateral sclerosis (ALS) model mice. J. Biol. Chem. 2011, 286, 20130–20136. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Claes, F.; Rudyak, S.; Laird, A.S.; Louros, N.; Beerten, J.; Debulpaep, M.; Michiels, E.; van der Kant, R.; Van Durme, J.; De Baets, G.; et al. Exposure of a cryptic Hsp70 binding site determines the cytotoxicity of the ALS-associated SOD1-mutant A4V. Protein Eng. Des. Sel. 2019, 32, 443–457. [Google Scholar] [CrossRef] [PubMed]
  66. Ghosh, S.; Salot, S.; Sengupta, S.; Navalkar, A.; Ghosh, D.; Jacob, R.; Das, S.; Kumar, R.; Jha, N.N.; Sahay, S.; et al. p53 amyloid formation leading to its loss of function: Implications in cancer pathogenesis. Cell Death Differ. 2017, 24, 1784–1798. [Google Scholar] [CrossRef] [Green Version]
  67. Perez-Canadillas, J.M.; Tidow, H.; Freund, S.M.; Rutherford, T.J.; Ang, H.C.; Fersht, A.R. Solution structure of p53 core domain: Structural basis for its instability. Proc. Natl. Acad. Sci. USA 2006, 103, 2109–2114. [Google Scholar] [CrossRef] [Green Version]
  68. Boysen, M.; Kityk, R.; Mayer, M.P. Hsp70- and Hsp90-mediated regulation of the conformation of p53 DNA binding domain and p53 cancer variants. Mol. Cell 2019, 74, 831–843. [Google Scholar] [CrossRef]
  69. Akakura, S.; Yoshida, M.; Yoneda, Y.; Horinouchi, S. A role for Hsc70 in regulating nucleocytoplasmic transport of a temperature-sensitive p53 (p53Val-135). J. Biol. Chem. 2001, 276, 14649–14657. [Google Scholar] [CrossRef] [Green Version]
  70. Rohde, M.; Daugaard, M.; Jensen, M.H.; Helin, K.; Nylandsted, J.; Jäättelä, M. Members of the heat-shock protein 70 family promote cancer cell growth by distinct mechanisms. Genes Dev. 2005, 19, 570–582. [Google Scholar] [CrossRef] [Green Version]
  71. Dahiya, V.; Agam, G.; Lawatscheck, J.; Rutz, D.A.; Lamb, D.C.; Buchner, J. Coordinated conformational processing of the tumor suppressor protein p53 by the Hsp70 and Hsp90 chaperone machineries. Mol. Cell 2019, 74, 816–830. [Google Scholar] [CrossRef] [PubMed]
  72. Wang, Y.; Mandelkow, E. Tau in physiology and pathology. Nat. Rev. Neurosci. 2015, 17, 22–35. [Google Scholar] [CrossRef] [PubMed]
  73. DiFiglia, M.; Sapp, E.; Chase, K.O.; Davies, S.W.; Bates, G.P.; Vonsattel, J.P.; Aronin, N. Aggregation of huntingtin in neuronal intranuclear inclusions and dystrophic neurites in brain. Science 1997, 277, 1990–1993. [Google Scholar] [CrossRef] [PubMed]
  74. Monsellier, E.; Redeker, V.; Ruiz-Arlandis, G.; Bousset, L.; Melki, R. Molecular interaction between the chaperone Hsc70 and the N-terminal flank of huntingtin exon 1 modulates aggregation. J. Biol. Chem. 2015, 290, 2560–2576. [Google Scholar] [CrossRef] [Green Version]
  75. Escobedo, A.; Topal, B.; Kunze, M.B.A.; Aranda, J.; Chiesa, G.; Mungianu, D.; Bernardo-Seisdedos, G.; Eftekharzadeh, B.; Gairí, M.; Pierattelli, R.; et al. Side chain to main chain hydrogen bonds stabilize a polyglutamine helix in a transcription factor. Nat. Commun. 2019, 10, 2034. [Google Scholar] [CrossRef] [Green Version]
  76. Bongiovanni, M.N.; Aprile, F.A.; Sormanni, P.; Vendruscolo, M. A rationally designed Hsp70 variant rescues the aggregation-associated toxicity of human IAPP in cultured pancreatic islet β-cells. Int. J. Mol. Sci. 2018, 19, 1443. [Google Scholar] [CrossRef] [Green Version]
  77. Neumann, M.; Sampathu, D.M.; Kwong, L.K.; Truax, A.C.; Micsenyi, M.C.; Chou, T.T.; Bruce, J.; Schuck, T.; Grossman, M.; Clark, C.M.; et al. Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science 2006, 314, 130–133. [Google Scholar] [CrossRef] [Green Version]
  78. Nelson, P.T.; Dickson, D.W.; Trojanowski, J.Q.; Jack, C.R.; Boyle, P.A.; Arfanakis, K.; Rademakers, R.; Alafuzoff, I.; Attems, J.; Brayne, C.; et al. Limbic-predominant age-related TDP-43 encephalopathy (LATE): Consensus working group report. Brain 2019, 142, 1503–1527. [Google Scholar] [CrossRef] [Green Version]
  79. Lin, P.-Y.; Folorunso, O.; Taglialatela, G.; Pierce, A. Overexpression of heat shock factor 1 maintains TAR DNA binding protein 43 solubility via induction of inducible heat shock protein 70 in cultured cells. J. Neurosci. Res. 2016, 94, 671–682. [Google Scholar] [CrossRef]
  80. Udan-Johns, M.; Bengoechea, R.; Bell, S.; Shao, J.; Diamond, M.I.; True, H.L.; Weihl, C.C.; Baloh, R.H. Prion-like nuclear aggregation of TDP-43 during heat shock is regulated by HSP40/70 chaperones. Hum. Mol. Genet. 2014, 23, 157–170. [Google Scholar] [CrossRef] [Green Version]
  81. Park, S.J.; Borin, B.N.; Martinez-Yamout, M.A.; Dyson, H.J. The client protein p53 adopts a molten globule-like state in the presence of Hsp90. Nat. Struct. Mol. Biol. 2011, 18, 537–541. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. Park, S.J.; Kostic, M.; Dyson, H.J. Dynamic interaction of Hsp90 with its client protein p53. J. Mol. Biol. 2011, 411, 158–173. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Mukrasch, M.D.; Bibow, S.; Korukottu, J.; Jeganathan, S.; Biernat, J.; Griesinger, C.; Mandelkow, E.; Zweckstetter, M. Structural polymorphism of 441-residue tau at single residue resolution. PLoS Biol. 2009, 7, e34. [Google Scholar] [CrossRef] [PubMed]
  84. Soto, C.; Castaño, E.M.; Frangione, B.; Inestrosa, N.C. The α -helical to β-strand transition in the amino-terminal fragment of the amyloid β-peptide modulates amyloid formation. J. Biol. Chem. 1995, 270, 3063–3067. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Evans, C.G.; Wisén, S.; Gestwicki, J.E. Heat shock proteins 70 and 90 inhibit early stages of amyloid β-(1-42) aggregation in vitro. J. Biol. Chem. 2006, 281, 33182–33191. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Burmann, B.M.; Gerez, J.A.; Matečko-Burmann, I.; Campioni, S.; Kumari, P.; Ghosh, D.; Mazur, A.; Aspholm, E.E.; Šulskis, D.; Wawrzyniuk, M.; et al. α-synuclein regulation by chaperones in mammalian cells. Nature 2020, 577, 127–132. [Google Scholar] [CrossRef]
  87. Goedert, M.; Spillantini, M.G.; Del Tredici, K.; Braak, H. 100 years of Lewy pathology. Nat. Rev. Neurol. 2013, 9, 13–24. [Google Scholar] [CrossRef]
  88. Ulmer, T.S.; Bax, A. Comparison of structure and dynamics of micelle-bound human α-synuclein and Pakinson disease variants. J. Biol. Chem. 2005, 280, 43179–43187. [Google Scholar] [CrossRef] [Green Version]
  89. He, W.-T.; Xue, W.; Gao, Y.-G.; Hong, J.-Y.; Yue, H.-W.; Jiang, L.-L.; Hu, H.-Y. HSP90 recognizes the N-terminus of huntingtin involved in regulation of huntingtin aggregation by USP19. Sci. Rep. 2017, 7, 14797. [Google Scholar] [CrossRef]
  90. Jinwal, U.K.; Abisambra, J.F.; Zhang, J.; Dharia, S.; O’Leary, J.C.; Patel, T.; Braswell, K.; Jani, T.; Gestwicki, J.E.; Dickey, C.A. Cdc37/Hsp90 protein complex disruption triggers an autophagic clearance cascade for TDP-43 protein. J. Biol. Chem. 2012, 287, 24814–24820. [Google Scholar] [CrossRef] [Green Version]
  91. Jinwal, U.K.; Koren, J., 3rd; Dickey, C.A. Reconstructing the Hsp90/Tau machine. Curr. Enzym. Inhib. 2013, 9, 41–45. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Blair, L.J.; Nordhues, B.A.; Hill, S.E.; Scaglione, M.; O’Leary, J.C., 3rd; Fontaine, S.N.; Breydo, L.; Zhang, B.; Li, P.; Wang, L.; et al. Accelerated neurodegeneration through chaperone-mediated oligomerization of tau. J. Clin. Investig. 2013, 123, 4158–4169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Blair, L.J.; Baker, J.D.; Sabbagh, J.J.; Dickey, C.A. The emerging role of peptidyl-prolyl isomerase chaperones in tau oligomerization, amyloid processing, and Alzheimer’s disease. J. Neurochem. 2015, 133, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Schwalbe, M.; Ozenne, V.; Bibow, S.; Jaremko, M.; Jaremko, L.; Gajda, M.; Jensen, M.R.; Biernat, J.; Becker, S.; Mandelkow, E.; et al. Predictive atomic resolution descriptions of intrinsically disordered htau40 and α-synuclein in solution from NMR and small angle scattering. Structure 2014, 22, 238–249. [Google Scholar] [CrossRef] [Green Version]
  95. Banani, S.F.; Lee, H.O.; Hyman, A.A.; Rosen, M.K. Biomolecular condensates: Organizers of cellular biochemistry. Nat. Rev. Mol. Cell Biol. 2017, 18, 285–298. [Google Scholar] [CrossRef]
  96. Handwerger, K.E.; Cordero, J.A.; Gall, J.G. Cajal bodies, nucleoli, and speckles in the Xenopus oocyte nucleus have a low-density, sponge-like structure. Mol. Biol. Cell 2005, 16, 202–211. [Google Scholar] [CrossRef] [Green Version]
  97. Brangwynne, C.P.; Eckmann, C.R.; Courson, D.S.; Rybarska, A.; Hoege, C.; Gharakhani, J.; Jülicher, F.; Hyman, A.A. Germline P granules are liquid droplets that localize by controlled dissolution/condensation. Science 2009, 324, 1729–1732. [Google Scholar] [CrossRef]
  98. Alberti, S.; Gladfelter, A.; Mittag, T. Considerations and challenges in studying liquid-liquid phase separation and biomolecular condensates. Cell 2019, 176, 419–434. [Google Scholar] [CrossRef] [Green Version]
  99. Li, H.-R.; Chiang, W.-C.; Chou, P.-C.; Wang, W.-J.; Huang, J.-R. TAR DNA-binding protein 43 (TDP-43) liquid-liquid phase separation is mediated by just a few aromatic residues. J. Biol. Chem. 2018, 293, 6090–6098. [Google Scholar] [CrossRef] [Green Version]
  100. Wang, J.; Choi, J.-M.; Holehouse, A.S.; Lee, H.O.; Zhang, X.; Jahnel, M.; Maharana, S.; Lemaitre, R.; Pozniakovsky, A.; Drechsel, D.; et al. A molecular grammar governing the driving forces for phase separation of prion-like RNA binding proteins. Cell 2018, 174, 688–699. [Google Scholar] [CrossRef] [Green Version]
  101. Martin, E.W.; Holehouse, A.S.; Peran, I.; Farag, M.; Incicco, J.J.; Bremer, A.; Grace, C.R.; Soranno, A.; Pappu, R.V.; Mittag, T. Valence and patterning of aromatic residues determine the phase behavior of prion-like domains. Science 2020, 367, 694–699. [Google Scholar] [CrossRef] [PubMed]
  102. Patel, A.; Lee, H.O.; Jawerth, L.; Maharana, S.; Jahnel, M.; Hein, M.Y.; Stoynov, S.; Mahamid, J.; Saha, S.; Franzmann, T.M.; et al. A liquid-to-solid phase transition of the ALS protein FUS accelerated by disease mutation. Cell 2015, 162, 1066–1077. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Molliex, A.; Temirov, J.; Lee, J.; Coughlin, M.; Kanagaraj, A.P.; Kim, H.J.; Mittag, T.; Taylor, J.P. Phase separation by low complexity domains promotes stress granule assembly and drives pathological fibrillization. Cell 2015, 163, 123–133. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Ambadipudi, S.; Biernat, J.; Riedel, D.; Mandelkow, E.; Zweckstetter, M. Liquid-liquid phase separation of the microtubule-binding repeats of the Alzheimer-related protein Tau. Nat. Commun. 2017, 8, 275. [Google Scholar] [CrossRef] [PubMed]
  105. Peskett, T.R.; Rau, F.; O’Driscoll, J.; Patani, R.; Saibil, H.R. A liquid to solid phase transition underlying pathological huntingtin exon1 aggregation. Mol. Cell 2018, 70, 588–601. [Google Scholar] [CrossRef]
  106. Vogler, T.O.; Wheeler, J.R.; Nguyen, E.D.; Hughes, M.P.; Britson, K.A.; Lester, E.; Rao, B.; Betta, N.D.; Whitney, O.N.; Ewachiw, T.E.; et al. TDP-43 and RNA form amyloid-like myo-granules in regenerating muscle. Nature 2018, 56, 508–513. [Google Scholar] [CrossRef]
  107. Mazroui, R.; Di Marco, S.; Kaufman, R.J.; Gallouzi, I.-E. Inhibition of the ubiquitin-proteasome system induces stress granule formation. Mol. Biol. Cell 2007, 18, 2603–2618. [Google Scholar] [CrossRef] [Green Version]
  108. Cherkasov, V.; Hofmann, S.; Druffel-Augustin, S.; Mogk, A.; Tyedmers, J.; Stoecklin, G.; Bukau, B. Coordination of translational control and protein homeostasis during severe heat stress. Curr. Biol. 2013, 23, 2452–2462. [Google Scholar] [CrossRef] [Green Version]
  109. Kroschwald, S.; Maharana, S.; Mateju, D.; Malinovska, L.; Nüske, E.; Poser, I.; Richter, D.; Alberti, S. Promiscuous interactions and protein disaggregases determine the material state of stress-inducible RNP granules. eLife 2015, 4, e06807. [Google Scholar] [CrossRef]
  110. Alberti, S.; Mateju, D.; Mediani, L.; Carra, S. Granulostasis: Protein quality control of RNP granules. Front. Mol. Neurosci. 2017, 10, 84. [Google Scholar] [CrossRef] [Green Version]
  111. Ganassi, M.; Mateju, D.; Bigi, I.; Mediani, L.; Poser, I.; Lee, H.O.; Seguin, S.J.; Morelli, F.F.; Vinet, J.; Leo, G.; et al. A surveillance function of the HSPB8-BAG3-HSP70 chaperone complex ensures stress granule integrity and dynamism. Mol. Cell 2016, 63, 796–810. [Google Scholar] [CrossRef] [Green Version]
  112. Lechler, M.C.; Crawford, E.D.; Groh, N.; Widmaier, K.; Jung, R.; Kirstein, J.; Trinidad, J.C.; Burlingame, A.L.; David, D.C. Reduced insulin/IGF-1 signaling restores the dynamic properties of key stress granule proteins during aging. Cell Rep. 2017, 18, 454–467. [Google Scholar] [CrossRef] [PubMed]
  113. Matsumoto, K.; Minami, M.; Shinozaki, F.; Suzuki, Y.; Abe, K.; Zenno, S.; Matsumoto, S.; Minami, Y. Hsp90 is involved in the formation of P-bodies and stress granules. Biochem. Biophys. Res. Comm. 2011, 407, 720–724. [Google Scholar] [CrossRef] [PubMed]
  114. Chang, H.-Y.; Hou, S.-C.; Way, T.-D.; Wong, C.-H.; Wang, I.-F. Heat-shock protein dysregulation is associated with functional and pathological TDP-43 aggregation. Nat. Commun. 2013, 4, 2757. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Bagatell, R.; Paine-Murrieta, G.D.; Taylor, C.W.; Pulcini, E.J.; Akinaga, S.; Benjamin, I.J.; Whitesell, L. Induction of a heat shock factor 1-dependent stress response alters the cytotoxic activity of hsp90-binding agents. Clin. Cancer. Res. 2000, 6, 3312–3318. [Google Scholar]
  116. Kudryavtsev, V.A.; Khokhlova, A.V.; Mosina, V.A.; Selivanova, E.I.; Kabakov, A.E. Induction of Hsp70 in tumor cells treated with inhibitors of the Hsp90 activity: A predictive marker and promising target for radiosensitization. PLoS ONE 2017, 12, e0173640. [Google Scholar] [CrossRef]
  117. Mediani, L.; Galli, V.; Carrà, A.D.; Bigi, I.; Vinet, J.; Ganassi, M.; Antoniani, F.; Tiago, T.; Cimino, M.; Mateju, D.; et al. BAG3 and BAG6 differentially affect the dynamics of stress granules by targeting distinct subsets of defective polypeptides released from ribosomes. Cell Stress Chaper. 2020, 25, 1045–1058. [Google Scholar] [CrossRef]
  118. Jain, S.; Wheeler, J.R.; Walters, R.W.; Agrawal, A.; Barsic, A.; Parker, R. ATPase-modulated stress granules contain a diverse proteome and substructure. Cell 2016, 164, 487–498. [Google Scholar] [CrossRef] [Green Version]
  119. Audas, T.E.; Audas, D.E.; Jacob, M.D.; Ho, J.J.D.; Khacho, M.; Wang, M.; Perera, J.K.; Gardiner, C.; Bennett, C.A.; Head, T.; et al. Adaptation to stressors by systemic protein amyloidogenesis. Dev. Cell 2016, 39, 155–168. [Google Scholar] [CrossRef] [Green Version]
  120. Astbury, W.; Woods, H.; Bragg, W. X-ray studies of the structure of hair, wool and related fibers. II: The molecular structure and elastic properties of hair keratin. Phil. Trans. Roy. Soc. Ser. A 1934, 232, 333–394. [Google Scholar]
  121. Geddes, A.J.; Parker, K.D.; Atkins, E.D.; Beighton, E. “Cross-beta” conformation in proteins. J. Mol. Biol. 1968, 32, 343–358. [Google Scholar] [CrossRef]
  122. Baldwin, A.J.; Knowles, T.P.J.; Tartaglia, G.G.; Fitzpatrick, A.W.; Devlin, G.L.; Shammas, S.L.; Waudby, C.A.; Mossuto, M.F.; Meehan, S.; Gras, S.L.; et al. Metastability of native proteins and the phenomenon of amyloid formation. J. Am. Chem. Soc. 2011, 133, 14160–14163. [Google Scholar] [CrossRef] [PubMed]
  123. Nelson, R.; Sawaya, M.R.; Balbirnie, M.; Madsen, A.; Riekel, C.; Grothe, R.; Eisenberg, D. Structure of the cross-β spine of amyloid-like fibrils. Nature 2005, 435, 773–778. [Google Scholar] [CrossRef] [Green Version]
  124. Bolton, D.C.; Mckinley, M.P.; Prusiner, S.B. Identification of a protein that purifies with the scrapie prion. Science 1982, 218, 1309–1311. [Google Scholar] [CrossRef] [PubMed]
  125. Selkoe, D.J.; Ihara, Y.; Salazar, F.J. Alzheimer’s disease: Insolubility of partially purified paired helical filaments in sodium dodecyl sulfate and urea. Science 1982, 215, 1243–1245. [Google Scholar] [CrossRef] [PubMed]
  126. Sipe, J.D.; Benson, M.D.; Buxbaum, J.N.; Ikeda, S.I.; Merlini, G.; Saraiva, M.J.M.; Westermark, P. Nomenclature 2014: Amyloid fibril proteins and clinical classification of the amyloidosis. Amyloid 2014, 21, 221–224. [Google Scholar] [CrossRef] [PubMed]
  127. Xue, C.; Lin, T.Y.; Chang, D.; Guo, Z. Thioflavin T as an amyloid dye: Fibril quantification, optimal concentration and effect on aggregation. R. Soc. Open Sci. 2017, 4, 160696. [Google Scholar] [CrossRef] [Green Version]
  128. Chapman, M.R.; Robinson, L.S.; Pinkner, J.S.; Roth, R.; Heuser, J.; Hammar, M.; Normark, S.; Hultgren, S.J. Role of Escherichia coli curli operons in directing amyloid fiber formation. Science 2002, 295, 851–855. [Google Scholar] [CrossRef] [Green Version]
  129. Fowler, D.M.; Koulov, A.V.; Alory-Jost, C.; Marks, M.S.; Balch, W.E.; Kelly, J.W. Functional amyloid formation within mammalian tissue. PLoS Biol. 2005, 4, e6. [Google Scholar] [CrossRef]
  130. Antonets, K.S.; Belousov, M.V.; Sulatskaya, A.I.; Belousova, M.E.; Kosolapova, A.O.; Sulatsky, M.I.; Andreeva, E.A.; Zykin, P.A.; Malovichko, Y.V.; Shtark, O.Y.; et al. Accumulation of storage proteins in plant seeds is mediated by amyloid formation. PLoS Biol. 2020, 18, e3000564. [Google Scholar] [CrossRef]
  131. Boke, E.; Ruer, M.; Wühr, M.; Coughlin, M.; Lemaitre, R.; Gygi, S.P.; Alberti, S.; Drechsel, D.; Hyman, A.A.; Mitchison, T.J. Amyloid-like self-assembly of a cellular compartment. Cell 2016, 166, 637–650. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  132. Li, J.; McQuade, T.; Siemer, A.B.; Napetschnig, J.; Moriwaki, K.; Hsiao, Y.S.; Damko, E.; Moquin, D.; Walz, T.; McDermott, A.; et al. The RIP1/RIP3 necrosome forms a functional amyloid signaling complex required for programmed necrosis. Cell 2012, 150, 339–350. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Saupe, S.J.; Daskalov, A. The [Het-s] prion, an amyloid fold as a cell death activation trigger. PLoS Pathog. 2012, 8, e1002687. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  134. True, H.L.; Lindquist, S.L. A yeast prion provides a mechanism for genetic variation and phenotypic diversity. Nature 2000, 407, 477–483. [Google Scholar] [CrossRef]
  135. Berchowitz, L.E.; Kabachinski, G.; Walker, M.R.; Carlile, T.M.; Gilbert, W.V.; Schwartz, T.U.; Amon, A. Regulated formation of an amyloid-like translational repressor governs gametogenesis. Cell 2015, 163, 406–418. [Google Scholar] [CrossRef] [Green Version]
  136. Keleman, K.; Krüttner, S.; Alenius, M.; Dickson, B.J. Function of the Drosophila CPEB protein Orb2 in long-term courtship memory. Nat. Neurosci. 2007, 10, 1587–1593. [Google Scholar] [CrossRef]
  137. Majumdar, A.; Cesario, W.C.; White-Grindley, E.; Jiang, H.; Ren, F.; Khan, M.R.; Li, L.; Choi, E.M.L.; Kannan, K.; Guo, F.; et al. Critical role of amyloid-like oligomers of Drosophila Orb2 in the persistence of memory. Cell 2012, 148, 515–529. [Google Scholar] [CrossRef] [Green Version]
  138. Nil, Z.; Hervás, R.; Gerbich, T.; Leal, P.; Yu, Z.; Saraf, A.; Sardiu, M.; Lange, J.J.; Yi, K.; Unruh, J.; et al. Amyloid-like assembly activates a phosphatase in the developing Drosophila embryo. Cell 2019, 179, 801. [Google Scholar] [CrossRef]
  139. Arakhamia, T.; Lee, C.E.; Carlomagno, Y.; Duong, D.M.; Kundinger, S.R.; Wang, K.; Williams, D.; DeTure, M.; Dickson, D.W.; Cook, C.N.; et al. Posttranslational modifications mediate the structural diversity of tauopathy strains. Cell 2020, 180, 633–644. [Google Scholar] [CrossRef]
  140. Fitzpatrick, A.; Falcon, B.; He, S.; Murzin, A.G.; Murshudov, G.; Garringer, H.J.; Crowther, R.A.; Ghetti, B.; Goedert, M.; Scheres, S.H.W. Cryo-EM structures of tau filaments from Alzheimer’s disease. Nature 2017, 547, 185–190. [Google Scholar] [CrossRef] [Green Version]
  141. Falcon, B.; Zhang, W.; Murzin, A.G.; Murshudov, G.; Garringer, H.J.; Vidal, R.; Crowther, R.A.; Ghetti, B.; Scheres, S.H.W.; Goedert, M. Structures of filaments from Pick’s disease reveal a novel tau protein fold. Nature 2018, 561, 137–140. [Google Scholar] [CrossRef] [PubMed]
  142. Falcon, B.; Zivanov, J.; Zhang, W.; Murzin, A.G.; Garringer, H.J.; Vidal, R.; Crowther, R.A.; Newell, K.L.; Ghetti, B.; Goedert, M.; et al. Novel tau filament fold in chronic traumatic encephalopathy encloses hydrophobic molecules. Nature 2019, 568, 420–423. [Google Scholar] [CrossRef] [PubMed]
  143. Zhang, W.; Tarutani, A.; Newell, K.L.; Murzin, A.G.; Matsubara, T.; Falcon, B.; Vidal, R.; Garringer, H.J.; Shi, Y.; Ikeuchi, T.; et al. Novel tau filament fold in corticobasal degeneration. Nature 2020, 580, 283–287. [Google Scholar] [CrossRef] [PubMed]
  144. Schweighauser, M.; Shi, Y.; Tarutani, A.; Kametani, F.; Murzin, A.G.; Ghetti, B.; Matsubara, T.; Tomita, T.; Ando, T.; Hasegawa, K.; et al. Structures of α-synuclein filaments from multiple system atrophy. Nature 2020, 585, 464–469. [Google Scholar] [CrossRef]
  145. Liberta, F.; Loerch, S.; Rennegarbe, M.; Schierhorn, A.; Westermark, P.; Westermark, G.T.; Hazenberg, B.P.C.; Grigorieff, N.; Fändrich, M.; Schmidt, M. Cryo-EM fibril structures from systemic AA amyloidosis reveal the species complementarity of pathological amyloids. Nat. Commun. 2019, 10, 1–10. [Google Scholar] [CrossRef] [Green Version]
  146. Hughes, M.P.; Sawaya, M.R.; Boyer, D.R.; Goldschmidt, L.; Rodriguez, J.A.; Cascio, D.; Chong, L.; Gonen, T.; Eisenberg, D.S. Atomic structures of low-complexity protein segments reveal kinked β sheets that assemble networks. Science 2018, 359, 698–701. [Google Scholar] [CrossRef] [Green Version]
  147. Wasmer, C.; Lange, A.; Van Melckebeke, H.; Siemer, A.B.; Riek, R.; Meier, B.H. Amyloid fibrils of the HET-s(218-289) prion form a β solenoid with a triangular hydrophobic core. Science 2008, 319, 1523–1526. [Google Scholar] [CrossRef]
  148. Murray, D.T.; Kato, M.; Lin, Y.; Thurber, K.R.; Hung, I.; McKnight, S.L.; Tycko, R. Structure of FUS protein fibrils and its relevance to self-assembly and phase separation of low-complexity domains. Cell 2017, 171, 615–627. [Google Scholar] [CrossRef]
  149. Luo, F.; Gui, X.; Zhou, H.; Gu, J.; Li, Y.; Liu, X.; Zhao, M.; Li, D.; Li, X.; Liu, C. Atomic structures of FUS LC domain segments reveal bases for reversible amyloid fibril formation. Nat. Struct. Mol. Biol. 2018, 25, 341–346. [Google Scholar] [CrossRef]
  150. Gui, X.; Luo, F.; Li, Y.; Zhou, H.; Qin, Z.; Liu, Z.; Gu, J.; Xie, M.; Zhao, K.; Dai, B.; et al. Structural basis for reversible amyloids of hnRNPA1 elucidates their role in stress granule assembly. Nat. Commun. 2019, 10, 1–12. [Google Scholar] [CrossRef] [Green Version]
  151. Lu, J.; Cao, Q.; Hughes, M.P.; Sawaya, M.R.; Boyer, D.R.; Cascio, D.; Eisenberg, D.S. CryoEM structure of the low-complexity domain of hnRNPA2 and its conversion to pathogenic amyloid. Nat. Commun. 2020, 11, 4090. [Google Scholar] [CrossRef] [PubMed]
  152. Lu, J.X.; Qiang, W.; Yau, W.M.; Schwieters, C.D.; Meredith, S.C.; Tycko, R. Molecular structure of β-amyloid fibrils in alzheimer’s disease brain tissue. Cell 2013, 154, 1257. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  153. Available online: https://people.mbi.ucla.edu/sawaya/amyloidatlas/ (accessed on 1 December 2020).
  154. Nachman, E.; Wentink, A.S.; Madiona, K.; Bousset, L.; Katsinelos, T.; Allinson, K.; Kampinga, H.; McEwan, W.A.; Jahn, T.R.; Melki, R.; et al. Disassembly of tau fibrils by the human Hsp70 disaggregation machinery generates small seeding-competent species. J. Biol. Chem. 2020, 295, 9676–9690. [Google Scholar] [CrossRef] [PubMed]
  155. Shorter, J. The mammalian disaggregase machinery: Hsp110 synergizes with Hsp70 and Hsp40 to catalyze protein disaggregation and reactivation in a cell-free system. PLoS ONE 2011, 6, e26319. [Google Scholar] [CrossRef] [Green Version]
  156. Gao, X.; Carroni, M.; Nussbaum-Krammer, C.; Mogk, A.; Nillegoda, N.B.; Szlachcic, A.; Guilbride, D.L.; Saibil, H.R.; Mayer, M.P.; Bukau, B. Human Hsp70 disaggregase reverses Parkinson’s-linked α-synuclein amyloid fibrils. Mol. Cell 2015, 59, 781–793. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  157. Wentik, A.S.; Nillegoda, N.B.; Feufel, J.; Ubartaité, G.; Schneider, C.P.; De Los Rios, P.; Hennig, J.; Barducci, A.; Bukau, B. Molecular dissection of amyloid disaggregation by human HSP70. Nature 2020, 587, 483–488. [Google Scholar] [CrossRef] [PubMed]
  158. Tittelmeier, J.; Sandhof, C.A.; Ries, H.M.; Druffel-Augustin, S.; Mogk, A.; Bukau, B.; and Nussbaum-Krammer, C. The HSP110/HSP70 disaggregation system generates spreading-competent toxic α-synuclein species. EMBO J. 2020, 39, e103954. [Google Scholar] [CrossRef]
  159. Carlomagno, Y.; Zhang, Y.; Davis, M.; Lin, W.L.; Cook, C.; Dunmore, J.; Tay, W.; Menkosky, K.; Cao, X.; Petrucelli, L.; et al. Casein kinase II induced polymerization of soluble TDP-43 into filaments is inhibited by heat shock proteins. PLoS ONE 2014, 9, e90452. [Google Scholar] [CrossRef]
  160. Ali, Y.O.; Allen, H.M.; Yu, L.; Li-Kroeger, D.; Bakhshizadehmahmoudi, D.; Hatcher, A.; McCabe, C.; Xu, J.; Bjorklund, N.; Taglialatela, G.; et al. NMNAT2:HSP90 complex mediates proteostasis in proteinopathies. PLoS Biol. 2016, 14, e1002472. [Google Scholar] [CrossRef]
  161. Li, L.; Sanchez, C.P.; Slaughter, B.D.; Zhao, Y.; Khan, M.R.; Unruh, J.R.; Rubinstein, B.; Si, K. A putative biochemical engram of long-term memory. Curr. Biol. 2016, 26, 3143–3156. [Google Scholar] [CrossRef] [Green Version]
  162. Chernoff, Y.O.; Lindquist, S.L.; Ono, B.I.; Inge-Vechtomov, S.G.; Liebman, S.W. Role of the chaperone protein Hsp104 in propagation of the yeast prion-like factor [psi+]. Science 1995, 268, 880–884. [Google Scholar] [CrossRef] [PubMed]
  163. Pfefferkorn, C.M.; McGlinchey, R.P.; Lee, J.C. Effects of pH on aggregation kinetics of the repeat domain of a functional amyloid, Pmel17. Proc. Natl. Acad. Sci. USA 2010, 107, 21447–21452. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  164. McGlinchey, R.P.; Shewmaker, F.; Hu, K.; McPhie, P.; Tycko, R.; Wickner, R.B. Repeat domains of melanosome matrix protein Pmel17 orthologs form amyloid fibrils at the acidic melanosomal pH. J. Biol. Chem. 2011, 286, 8385–8393. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  165. Wang, X.; Zhou, Y.; Ren, J.-J.; Hammer, N.D.; Chapman, M.R. Gatekeeper residues in the major curlin subunit modulate bacterial amyloid fiber biogenesis. Proc. Natl. Acad. Sci. USA 2010, 107, 163–168. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  166. Sánchez, L.; Madurga, S.; Pukala, T.; Vilaseca, M.; López-Iglesias, C.; Robinson, C.V.; Giralt, E.; Carulla, N. Ab40 and Ab42 amyloid fibrils exhibit distinct molecular recycling properties. J. Am. Chem. Soc. 2011, 133, 6505–6508. [Google Scholar] [CrossRef] [PubMed]
  167. Schlecht, R.; Erbse, A.H.; Bukau, B.; Mayer, M.P. Mechanics of Hsp70 chaperones enables differential interaction with client proteins. Nat. Struct. Mol. Biol. 2011, 18, 345–351. [Google Scholar] [CrossRef]
  168. Nillegoda, N.B.; Bukau, B. Metazoan Hsp70-based protein disaggregases: Emergence and mechanisms. Front. Mol. Biosci. 2015, 2, 57. [Google Scholar] [CrossRef] [Green Version]
  169. Nillegoda, N.B.; Wentink, A.S.; Bukau, B. Protein disaggregation in multicellular organisms. Trends Biochem. Sci. 2018, 43, 285–300. [Google Scholar] [CrossRef]
  170. Nillegoda, N.B.; Kirstein, J.; Szlachcic, A.; Berynskyy, M.; Stank, A.; Stengel, F.; Arnsburg, K.; Gao, X.; Scior, A.; Aebersold, R.; et al. Crucial HSP70 co-chaperone complex unlocks metazoan protein disaggregation. Nature 2015, 524, 247–251. [Google Scholar] [CrossRef] [Green Version]
  171. Poepsel, S.; Sprengel, A.; Sacca, B.; Kaschani, F.; Kaiser, M.; Gatsogiannis, C.; Raunser, S.; Clausen, T.; Ehrmann, M. Determinants of amyloid fibril degradation by the PDZ protease HTRA1. Nat. Chem. Biol. 2015, 11, 862–869. [Google Scholar] [CrossRef]
  172. Zaarur, N.; Xu, X.; Lestienne, P.; Meriin, A.B.; McComb, M.; Costello, C.E.; Newnam, G.P.; Ganti, R.; Romanova, N.V.; Shanmugasundaram, M.; et al. RuvbL1 and RuvbL2 enhance aggresome formation and disaggregate amyloid fibrils. EMBO J. 2015, 34, 2363–2382. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  173. Baker, J.D.; Shelton, L.B.; Zheng, D.; Favretto, F.; Nordhues, B.A.; Darling, A.; Sullivan, L.E.; Sun, Z.; Solanki, P.K.; Martin, M.D.; et al. Human cyclophilin 40 unravels neurotoxic amyloids. PLoS Biol. 2017, 15, e2001336. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  174. Ramelot, T.A.; Nicholson, L.K. Phosphorylation-induced structural changes in the amyloid precursor protein cytoplasmic tail detected by NMR. J. Mol. Biol. 2001, 307, 871–884. [Google Scholar] [CrossRef] [PubMed]
  175. Nakamura, K.; Greenwood, A.; Binder, L.; Bigio, E.K.; Denial, S.; Nicholson, L.; Zhou, X.Z.; Lu, K.P. Proline isomer-specific antibodies reveal the early pathogenic tau conformation in Alzheimer’s disease. Cell 2012, 149, 232–244. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  176. Lu, K.P.; Zhou, X.Z. The prolyl isomerase PIN1: A pivotal new twist in phosphorylation signaling and disease. Nat. Rev. Mol. Cell Biol. 2007, 8, 904–916. [Google Scholar] [CrossRef] [PubMed]
  177. Rein, T. Peptidylprolylisomerases, protein folders, or scaffolders? The example of FKBP51 and FKBP52. Bioessays 2020, 42, e1900250. [Google Scholar] [CrossRef]
  178. Bibow, S.; Ozenne, V.; Biernat, J.; Blackledge, M.; Mandelkow, E.; Zweckstetter, M. Structural impact of proline-directed psudophosphorylation at AT8, AT100, and PHF1 epitopes on 441-residue tau. J. Am. Chem. Soc. 2011, 133, 15842–15845. [Google Scholar] [CrossRef] [Green Version]
  179. Shelton, L.B.; Koren, J., 3rd; Blair, L.J. Imbalances in the Hsp90 chaperone machinery: Implications for tauopathies. Front Neurosci. 2017, 11, 724. [Google Scholar] [CrossRef]
  180. Spires-Jones, T.L.; Attems, J.; Thal, D.R. Interactions of pathological proteins in neurodegenerative diseases. Acta Neuropathol. 2017, 134, 187–205. [Google Scholar] [CrossRef]
  181. Chornenkyy, Y.; Fardo, D.W.; Nelson, P.T. Tau and TDP-43 proteinopathies: Kindred pathologic cascades and genetic pleiotropy. Lab. Investig. 2019, 99, 993–1007. [Google Scholar] [CrossRef]
  182. Park, S.-H.; Kukushkin, Y.; Gupta, R.; Chen, T.; Konagai, A.; Hipp, M.S.; Hayer-Hartl, M.; Hartl, F.U. PolyQ proteins interfere with nuclear degradation of cytosolic proteins by sequestering the Sis1p chaperone. Cell 2013, 154, 134–145. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  183. Yu, A.; Shibata, Y.; Shah, B.; Calamini, B.; Lo, D.C.; Morimoto, R.I. Protein aggregation can inhibit clathrin-mediated endocytosis by chaperone competition. Proc. Natl. Acad. Sci. USA 2014, 111, E1481–E1490. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  184. Pratt, W.B.; Gestwicki, J.E.; Osawa, Y.; Lieberman, A.P. Targeting proteostasis through the protein quality control function of the Hsp90/Hsp70-based chaperone machinery for treatment of adult onset neurodegenerative diseases. Annu. Rev. Pharmacol. Toxicol. 2015, 55, 353–371. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  185. Waza, M.; Adachi, H.; Katsuno, M.; Minamiyama, M.; Sang, C.; Tanaka, F.; Inukai, A.; Doyu, M.; Sobue, G. 17-AAG, an Hsp90 inhibitor, ameliorates polyglutamine-mediated motor neuron degeneration. Nat. Med. 2005, 11, 1088–1095. [Google Scholar] [CrossRef] [PubMed]
  186. Fujikake, N.; Nagai, Y.; Popiel, H.A.; Okamoto, Y.; Yamaguchi, M.; Toda, T. Heat shock transcription factor 1-activating compounds suppress polyglutamine-induced neurodegeneration through induction of multiple molecular chaperones. J. Biol. Chem. 2008, 283, 26188–26197. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  187. Ho, S.W.; Tsui, Y.T.C.; Wong, T.T.; Cheung, S.K.-K.; Goggins, W.B.; Yi, L.M.; Cheng, K.K.; Baum, L. Effects of 17-allylamino-17-demethoxygeldanamycin (17-AAG) in transgenic mouse models of frontotemporal lobar degeneration and Alzheimer’s disease. Transl. Neurodegenr. 2013, 2, 24. [Google Scholar] [CrossRef] [Green Version]
  188. Ding, Y.; Adachi, H.; Katsuno, M.; Sahashi, K.; Kondo, N.; Iida, M.; Tohnai, G.; Nakatsuji, H.; Sobue, G. BIIB021, a synthetic Hsp90 inhibitor, induces mutant ataxin-1 degradation through the activation of heat shock factor 1. Neuroscience 2016, 327, 20–31. [Google Scholar] [CrossRef]
  189. Muchowski, P.J.; Wacker, J.L. Modulation of neurodegeneration by molecular chaperones. Nat. Rev. Neurosci. 2005, 6, 11–22. [Google Scholar] [CrossRef]
  190. Whitesell, L.; Lindquist, S. Inhibiting the transcription factor HSF1 as an anticancer strategy. Expert Opin. Ther. Targets 2009, 13, 469–478. [Google Scholar] [CrossRef]
  191. Serlidaki, D.; van Waarde, M.A.W.H.; Rohland, L.; Wentink, A.S.; Dekker, S.L.; Kamphuis, M.J.; Boertien, J.M.; Brunsting, J.F.; Nillegoda, N.B.; Bukau, B.; et al. Functional diversity between HSP70 paralogs caused by variable interactions with specific co-chaperones. J. Biol. Chem. 2020, 295, 7301–7316. [Google Scholar] [CrossRef] [Green Version]
  192. Aprile, F.A.; Källstig, E.; Limorenko, G.; Vendruscolo, M.; Ron, D.; Hansen, C. The molecular chaperones DNAJB6 and Hsp70 cooperate to suppress α-synuclein aggregation. Sci. Rep. 2017, 7, 9039. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  193. Shorter, J. Designer protein disaggregases to counter neurodegenerative disease. Curr. Opin. Genet. Dev. 2017, 44, 1–8. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Hsp70 and Hsp90 chaperones are tightly regulated by co-chaperones. Hsp70 undergoes large allosteric changes upon ATP hydrolysis and substrate binding, from an extended, ADP-bound conformation with the substrate-binding domain (SBD) closed by the lid (PDB code 2kho) [45] to a collapsed, ATP-bound conformation with the SBD opened, favoring substrate release (PDB code 5nro) [46]. NBD stands for the nucleotide-binding domain. Hsp40 regulates the substrate folding and ATP hydrolysis by Hsp70 (Hsp40 J domain is included in PDB 5nro in the blue ribbon representation). NEF stands for the nucleotide exchange factor. Hop (Hsp-organizing protein) promotes the transfer of the substrate from the Hsp70 machinery to Hsp90. Hsp90 coexists in several conformations, from an extended, apo conformation [26] to a closed, nucleotide bound conformation, where the nucleotide-binding domains (NTD) would rotate to promote ATP hydrolysis [22]. CTD and MD stand for the C-terminal and middle domains, respectively. Hsp90′s activation cycle is closely regulated by co-chaperones [22]. Several representative human co-chaperones are included in the figure and are reviewed elsewhere [29,30]. Tprs stands for TPR-containing proteins. Phosphorylation of Hsp70 and Hsp90 C-terminal tails dictate the binding of CHIP, promoting substrate degradation [47].
Figure 1. Hsp70 and Hsp90 chaperones are tightly regulated by co-chaperones. Hsp70 undergoes large allosteric changes upon ATP hydrolysis and substrate binding, from an extended, ADP-bound conformation with the substrate-binding domain (SBD) closed by the lid (PDB code 2kho) [45] to a collapsed, ATP-bound conformation with the SBD opened, favoring substrate release (PDB code 5nro) [46]. NBD stands for the nucleotide-binding domain. Hsp40 regulates the substrate folding and ATP hydrolysis by Hsp70 (Hsp40 J domain is included in PDB 5nro in the blue ribbon representation). NEF stands for the nucleotide exchange factor. Hop (Hsp-organizing protein) promotes the transfer of the substrate from the Hsp70 machinery to Hsp90. Hsp90 coexists in several conformations, from an extended, apo conformation [26] to a closed, nucleotide bound conformation, where the nucleotide-binding domains (NTD) would rotate to promote ATP hydrolysis [22]. CTD and MD stand for the C-terminal and middle domains, respectively. Hsp90′s activation cycle is closely regulated by co-chaperones [22]. Several representative human co-chaperones are included in the figure and are reviewed elsewhere [29,30]. Tprs stands for TPR-containing proteins. Phosphorylation of Hsp70 and Hsp90 C-terminal tails dictate the binding of CHIP, promoting substrate degradation [47].
Ijms 21 09186 g001
Figure 2. Hsp70 and Hsp90 recognize the structured moieties present in intrinsically disordered proteins (IDPs). A representative ensemble of conformations adopted by an IDP in solution is pictured at the top [94]. Tau, huntingtin, and α-synuclein contain elements that have a tendency to adopt a partial secondary structure (represented with helices and arrows for α-helices and β-strands, respectively) [83,88,89]. The moieties recognized by Hsp70 and Hsp90 are colored in red [26,34,86,89]. On tau, Hsp70 specifically recognizes the stretches 275VQIINK280, 306VQIVYK311, and 375KLTFRE380 [34]. The disordered C-terminal tails of Hsp70 and Hsp90 are represented. In Hsp90, the flexible, negatively charged linker connecting the NTD and the MD is represented with a grey line. The length of huntingtin is shortened for simplicity.
Figure 2. Hsp70 and Hsp90 recognize the structured moieties present in intrinsically disordered proteins (IDPs). A representative ensemble of conformations adopted by an IDP in solution is pictured at the top [94]. Tau, huntingtin, and α-synuclein contain elements that have a tendency to adopt a partial secondary structure (represented with helices and arrows for α-helices and β-strands, respectively) [83,88,89]. The moieties recognized by Hsp70 and Hsp90 are colored in red [26,34,86,89]. On tau, Hsp70 specifically recognizes the stretches 275VQIINK280, 306VQIVYK311, and 375KLTFRE380 [34]. The disordered C-terminal tails of Hsp70 and Hsp90 are represented. In Hsp90, the flexible, negatively charged linker connecting the NTD and the MD is represented with a grey line. The length of huntingtin is shortened for simplicity.
Ijms 21 09186 g002
Figure 3. Pathological vs. functional amyloids. (a) Structural traits of the cross-β amyloid fold [123]. (b) Hydrophobicity map on the molecular surface of a representative pathological amyloid, namely, β-amyloid1–40 in Alzheimer’s disease brain tissue (PDB code 2m4j [152]), vs. a functional, neuronal amyloid implicated in memory persistence (PDB code 6vps [9]), showing the different stabilization energy. The hydrophobic residues are colored red, and the hydrophilic ones are colored blue. The solvation energy calculations were obtained from ref. [153].
Figure 3. Pathological vs. functional amyloids. (a) Structural traits of the cross-β amyloid fold [123]. (b) Hydrophobicity map on the molecular surface of a representative pathological amyloid, namely, β-amyloid1–40 in Alzheimer’s disease brain tissue (PDB code 2m4j [152]), vs. a functional, neuronal amyloid implicated in memory persistence (PDB code 6vps [9]), showing the different stabilization energy. The hydrophobic residues are colored red, and the hydrophilic ones are colored blue. The solvation energy calculations were obtained from ref. [153].
Ijms 21 09186 g003
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Hervás, R.; Oroz, J. Mechanistic Insights into the Role of Molecular Chaperones in Protein Misfolding Diseases: From Molecular Recognition to Amyloid Disassembly. Int. J. Mol. Sci. 2020, 21, 9186. https://doi.org/10.3390/ijms21239186

AMA Style

Hervás R, Oroz J. Mechanistic Insights into the Role of Molecular Chaperones in Protein Misfolding Diseases: From Molecular Recognition to Amyloid Disassembly. International Journal of Molecular Sciences. 2020; 21(23):9186. https://doi.org/10.3390/ijms21239186

Chicago/Turabian Style

Hervás, Rubén, and Javier Oroz. 2020. "Mechanistic Insights into the Role of Molecular Chaperones in Protein Misfolding Diseases: From Molecular Recognition to Amyloid Disassembly" International Journal of Molecular Sciences 21, no. 23: 9186. https://doi.org/10.3390/ijms21239186

APA Style

Hervás, R., & Oroz, J. (2020). Mechanistic Insights into the Role of Molecular Chaperones in Protein Misfolding Diseases: From Molecular Recognition to Amyloid Disassembly. International Journal of Molecular Sciences, 21(23), 9186. https://doi.org/10.3390/ijms21239186

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop