Spatial Protein Quality Control (sPQC) sequesters misfolded proteins into specific, organelle-associated inclusions within the cell to control their toxicity. To approach the role of sPQC in cellular fitness, neurodegenerative diseases and aging, we report on the construction of Hsp100-based systems in budding yeast cells, which can artificially target protein aggregates to non-canonical locations. We demonstrate that aggregates of mutant huntingtin (mHtt), the disease-causing agent of Huntington’s disease can be artificially targeted to daughter cells as well as to eisosomes and endosomes with this approach. We find that the artificial removal of mHtt inclusions from mother cells protects them from cell death suggesting that even large mHtt inclusions may be cytotoxic, a trait that has been widely debated. In contrast, removing inclusions of endogenous age-associated misfolded proteins does not significantly affect the lifespan of mother cells. We demonstrate also that this approach is able to manipulate mHtt inclusion formation in human cells and has the potential to be useful as an alternative, complementary approach to study the role of sPQC, for example in aging and neurodegenerative disease.
Aging is a ubiquitous process in life affecting most organisms, in particular animals but also many unicellular organisms. It is widely assumed that aging is caused by an accumulation of cellular damage over time1,2,3. In the budding yeast Saccharomyces cerevisiae, the cellular damages considered to contribute to aging include protein aggregates, oxidatively damaged proteins, defective mitochondria and vacuoles, and extra-chromosomal ribosomal DNA circles (ERCs)4,5. Yeast cells have developed strategies to asymmetrically segregate such damages and toxic molecules during cell division, so that daughter cells (also known as buds) produced during cytokinesis are mostly free from age-related damages. For example, asymmetric inheritance has been shown for damaged and aggregated proteins6,7, defective mitochondria8,9, vacuoles10, and ERCs11. While these studies demonstrate an association between the segregation of specific cellular damages and aging/rejuvenation, causal links between such damages and aging have not been firmly established. For example, while genetic manipulations causing an increased accumulation of protein aggregates shortens yeast replicative lifespan and manipulation causing a decreased accumulation of aggregates prolongs lifespan12,13,14,15,16,17, it is not clear if protein aggregates themselves are the cause of aging as such manipulations are expected to alter a multitude of processes in the cell.
Protein aggregates are formed by a variety of different routes when misfolded proteins overwhelm the protein quality control (PQC) systems of the cell. Such aggregation is harmful to the cell due to the loss of function of the proteins aggregating and also due to gain of toxic, non-canonical, functions of the aggregates formed. A failure of PQC leads for instance to neurodegenerative diseases in humans, where aggregated proteins impair cellular functions and eventually cause cell death18. In some organisms, protein aggregates can be cleared from the cell by ‘disaggregases’ of the Hsp100 family, such as Hsp104 in yeast19. If such clearance fails, aggregates are sequestered into large inclusions at certain cellular sites in the cell. It has been suggested that this sequestration of misfolded and aggregated proteins into large inclusions at specific sites might decrease the toxicity of such aggregates. This may be due to, for example, a reduction of the exposed surface area restricting interactions with other functional proteins and limiting titration of PQC components, including chaperones20,21. In addition, it has been shown that inclusions associated with the mitochondria are cleared out faster than inclusions that are not22, indicating that specific locations in the cell may be more efficient in certain PQC processes.
In yeast, misfolded and aggregated proteins, when formed, first accumulate at multiple sites, known as stress foci, CytoQs or Q-bodies throughout the cytosol and at the surface of various organelles, such as the endoplasmic reticulum (ER), vacuole and mitochondria. Upon prolonged proteostatic stress, aggregates in stress foci coalesce into larger inclusions by an energy-dependent process23. These large inclusions are categorized by their proximity to specific organelles (juxtanuclear quality control site (JUNQ) on the cytosolic side of the nuclear membrane24; intranuclear quality control site (INQ) in close proximity to the JUNQ, but within the nucleus, next to the nucleolus25; peripheral vacuole-associated insoluble protein deposit (IPOD) proximal to the vacuole23,24; and a site adjacent to mitochondria26). Different sorting mechanisms and factors appear to play a role in the sorting of misfolded proteins to each specific site25,27,28 but it appears that most misfolded proteins studied are sequestered to all these sites23,24,29. However, the vacuole-associated IPOD30 seems to be the deposition site for amyloid proteins including the protein mutant huntingtin, which is the causative agent of Huntington’s disease (HD)24. In contrast, mammalian cells sequester aggregated proteins, including mutant huntingtin, in a deposition site close to the centrosome, known as the aggresome31,32.
That spatial control of aggregates is important for cellular fitness, rejuvenation, and longevity is inferred from results using mutations causing defects in spatial PQC (sPQC)7,15,16,33. This study was aimed at generating a different approach to studying the importance of sPQC by artificially transporting protein aggregates to non-canonical, but targeted, locations in the cell by using protein fusions to the yeast aggregate-binding protein Hsp104. We demonstrate that this approach is successful in forming inclusions at non-canonical sites in both yeast and human cells and has the potential to be useful as an alternative, complementary strategy to study the role of sPQC in aging and neurodegenerative disease. Using this approach, we show that mother cells freed of large inclusions of mutant huntingtin display a reduced probability of dying suggesting that such large inclusions are not entirely inert.
Results and discussion
Generation of an artificial aggregate targeting system (ATS) to transport aggregates into daughter cells
Hsp104 has been shown to recognize stress-induced and age-related protein aggregates and to contribute to their retention in the mother cell of Saccharomyces cerevisiae7,33,34. However, the role of this mother cell retention of aggregates is not clear but has been suggested to contribute to the aging of mother cells and the rejuvenation of daughters6,7,35,36. In order to further elucidate the role of such retention of aggregates, and their sequestration to certain organelle-associated sites in the cell (i.e., IPOD, JUNQ, INQ, and mitochondria)23,24,25,26, we aimed to remove aggregates from mother cells during cytokinesis by targeting them to daughter cells. In order to do so, we first fused Hsp104-GFP to the myosin motor protein Myo2 arguing that Hsp104 fused to Myo2 could bring aggregates to daughter cells by anterograde transport along actin cables. While this system was successfully targeting inclusions to the bud, it led in many cases to a lethal two-budded phenotype (Supplementary Fig. 1a). In a second attempt, we instead fused Hsp104-GFP to Pea2, a protein component that is transported with Myo2 along actin cables to the polarisome protein complex at the tip of the bud37. The HSP104-GFP-PEA2 fusion gene was integrated into the genome at the MET15 locus, leaving the endogenous HSP104 and PEA2 genes unaltered (Fig. 1a). This approach showed successful targeting to the bud (Fig. 1b) and we refer to this Hsp104-Pea2 chimera system as ‘Aggregate Targeting System 1’ (ATS1; Fig. 1a, c). Interestingly, Hsp104-GFP-Pea2 formed a single inclusion, indicating that most Hsp104-GFP-Pea2 is sequestered into the same site, suggesting that the specific targeting of Hsp104 may cause molecular crowding/seeding that induces Hsp104 inclusion formation. This is different from the normal, mainly cytosolic, localization of Hsp104 (Fig. 1b). To test the hypothesis of a seed/crowding-triggered inclusion formation, we induced artificial crowding of Hsp104 by fusing it to the p53 tetramerization domain. In support of our hypothesis, this triggered the formation of several Hsp104 inclusions per cell in the absence of proteostatic stress (Fig. 1d). To analyze whether the ATS1 and transport of aggregates were dependent on the myosin/actin system, we first checked for co-localization of the ATS1 with myosin. As expected, we found extensive co-localization of ATS1 with the Myo2 motor protein (Fig. 1e) as well as with actin filaments and patches (Supplementary Fig. 1b). Further, ATS1 inclusion formation and transport into the bud failed if the mutant Myo2R1419D was used instead of wild-type Myo2 (Fig. 1f, g): Mutant Myo2R1419D has been demonstrated to be unable to interact with Pea237. Co-localization experiments also showed that Spa2, another component of the polarisome complex, localized to the ATS1 whereas a lesser association was observed for Bud6, which is also localized to the bud neck (Supplementary Fig. 1c, d). To investigate if ATS1 can recognize and transport protein aggregates into the bud, we expressed the misfolding proteins huntingtin 103Q and 103QP (mHtt103Q and mHtt103QP, respectively). mHtt103QP is the Huntington’s disease associated N-terminal fragment of human huntingtin and exhibits an expansion from a 25 to a 97 poly-glutamine stretch leading to misfolding and aggregation38. mHtt103Q lacks the adjacent proline-rich region38. We found that ATS1 could recognize mHtt103QP and mHtt103Q aggregates, both when the gene was under control of an inducible GAL1-promoter (Fig. 1h) or a constitutive promoter (Supplementary Fig. 1e), with up to 71% of daughters containing mHtt inclusions and an up to 65% reduction of mother cells containing mHtt inclusions (Fig. 1i). A time-lapse example of ATS1-dependent binding and transport of mHtt103QP-GFP aggregates into the bud is shown in Fig. 1j and Supplementary Movie 1. We term this general principle of targeting proteins to an artificial inclusion via chimeras ‘INTACs’ (inclusion-targeting chimeras), in analogy to proteolysis-targeting chimeras (PROTACs)39,40 or lysosome-targeting chimeras (LYTACs)41. In addition to mHtt, we investigated if ATS1 can bind and transport other misfolding model proteins using the temperature-sensitive alleles guk1-7, pro3-1, and gus1-3 (ref. 42). All these misfolding model proteins showed inclusions co-localizing with ATS1 and were transported into the bud, indicating a general ability of ATS1 to bind misfolded proteins forming aggregates (Supplementary Fig. 1f–h). To check if ATS1 caused cellular defects, we measured growth using a drop test and the activity of a reporter of the Hsf1-dependent stress response43. We could not detect any growth defects for the ATS1 strain (Supplementary Fig. 1i) and only a slight increase in cellular Hsf1 activity in comparison to controls (Supplementary Fig. 1j). To investigate if Hsp104 in the artificial ATS1 inclusions is functional, we tested whether aggregates in the inclusions were cleared with similar dynamics as aggregates in wild-type cells using the misfolding protein pro3-1. We found that pro3-1 aggregates were cleared with a similar rate as aggregates in cells without ATS1, demonstrating successful disaggregation as well as functionality of Hsp104 in the ATS1 inclusions (Supplementary Fig. 1k, l).
Hsp70s as well as Hsp104 oligomerization and ATP binding are essential for ATS1 formation
To investigate which genes are important for ATS1 formation, we performed single-deletions of several proteostasis genes, but none showed an effect on inclusion formation (Supplementary Fig. 2a). In addition, deletions of diffusion barrier genes did not markedly change inclusion formation or targeting of ATS1 to the bud (Supplementary Fig. 2b). The only genetic perturbation that markedly affected ATS1 was a double deletion of the cytosolic Hsp70 genes, SSA1 and SSA2, which highly reduced ATS1 formation (Fig. 2a). Of note, ATS1 protein levels were not significantly affected by the double deletion (Supplementary Fig. 2c).
Further, we investigated which regions in Hsp104 were important for artificial inclusion formation of ATS1. Hsp104 assembles into a homohexamer, forming a ring with a central pore. Thus, we assumed that oligomerization domains of Hsp104 are important for inclusion formation. The C-terminal domain (CTD) has been shown to play a role in oligomer assembly44. However, deletion of the CTD showed no effect on ATS formation (Fig. 2b, c). A previous study investigated in vitro the role of the nucleotide-binding domains NBD1 and NBD2 in oligomer assembly, with NBD2 showing an influence on Hsp104 oligomerization whereas the NBD1 did not45. We deleted the ATP binding sites ATP1 or ATP2 (8 amino acid deletions each) in both NBDs and checked for ATS1 formation. In accordance with Schirmer et al.45, the ATP2 deletion showed a high reduction of ATS1 formation whereas the ATP1 deletion showed a less pronounced reduction (Fig. 2c). This indicates that ATP1, in addition to ATP2, plays an in vivo role in Hsp104 oligomerization. If the ATP binding site deletions were combined with the deletion of the CTD, ATS1 formation was further decreased, demonstrating a supportive role of the CTD for Hsp104 oligomerization. The strongest reduction in ATS1 formation was achieved by deleting ATP1 and ATP2 together, indicating that ATPase function and catalytic activity of Hsp104 are closely tied to inclusion formation (Fig. 2c). Of note, mutating ATS1 did not affect its expression level (Supplementary Fig. 2d). Taken together, these results demonstrate that the presence of Hsp70 chaperones as well as the oligomerization and ATP binding ability of Hsp104 are essential for ATS1 formation.
ATS1 sequesters endogenous Hsp104 and is enriched for various proteostasis factors
To characterize ATS1 further, we checked for enrichment/co-localization of proteostasis factors. First, we tested for co-localization with endogenous Hsp104. Interestingly, ATS1 sequestered most of the endogenous Hsp104 in the artificial inclusion (Fig. 3a), which explains how all the misfolded model proteins tested accumulate specifically at these sites. This suggests that ATS1 might incorporate the regular Hsp104 inclusions, e.g., also the ones arising during aging, which have been previously described as age-dependent protein deposits (APOD)14,46. We confirmed this in old cells using microfluidics (Supplementary Fig. 3a). Furthermore, ATS1 was enriched with other proteostasis factors, such as endogenous Hsp42, a small heat shock protein; Tsa1, a thioredoxin peroxidase; and Ssa1, an Hsp70 protein (Fig. 3b–d), but not GFP (Fig. 3e). Also, ATS1 was enriched with the J-proteins Ydj1 and Sis1; with Hsc82, an Hsp90 protein, but not with the ATPase component Sse1. No enrichment with the autophagosome protein Atg8 could be detected (Supplementary Fig. 3b–f). Some proteins previously linked to proteostasis, like Btn247 and Mca115, only co-localized with ATS1 after a heat shock (Supplementary Fig. 3g, h), i.e., when aggregates accumulate at ATS1.
Artificial sequestration of aggregates to non-canonical sites by other ATS constructions
Since the results above suggest that a seed structure like the polarisome, i.e., molecular crowding, appears sufficient to induce formation of functional Hsp104 inclusions that can sequester misfolded proteins upon proteostatic stress, we used this fact to target inclusions to other artificial locations. The endosome forms a seed-like structure and we therefore fused Hsp104 to the endosomal protein Snf7 (ATS2) and found that this led to formation of artificial inclusions (Fig. 4a). In another approach, we fused the eisosome protein Pil1 to Hsp104 (ATS3). The eisosomes form multiple seed-like structures nearby the cell membrane and fusing Pil1 to Hsp104 induced the formation of artificial inclusions (Fig. 4b). Both the artificial ATS2 and ATS3 inclusions were able to sequester mHtt aggregates (Fig. 4c, d and Supplementary Fig. 4a, b). As seen in Fig. 4d, the Pil1-Hsp104 fusion resulted in mHtt forming multiple aggregates (‘class III phenotype’: 3 or more aggregate inclusions per cell22,48) instead of the typical one to two in wild-type cells. We used this system to elucidate the long-standing question if multiple aggregates are more deleterious to the cell than single (few) aggregates due to exposing an increased surface area that may, for example, sequester and deplete chaperones from the cytosol20,21,49,50. However, when determining the growth rate of cells expressing mHtt constitutively (Fig. 4e) or after induction (Fig. 4f) we found no significant effect of mHtt forming multiple aggregates instead of one to two.
Screening for ‘inclusion generators’ other than Hsp104
To find proteins other than Hsp104 that can initiate and form artificial inclusions we performed a genome-wide screen using synthetic genetic array (SGA) technology. We devised an approach to generate chimeras in a large-scale fashion by fusing Pea2 to a GFP-binding nanobody (GFP-binding protein, GBP)51. This construct was crossed into the Yeast-GFP collection52. In that way, 4159 different chimeras were generated, consisting of an endogenous protein bound to Pea2 (Fig. 5a). We identified 71 proteins that can initiate and form artificial inclusions in the cytoplasmic fraction (Fig. 5b, c and Supplementary Data 1) with false discovery rate (FDR) of <0.05. We termed this class of proteins ‘inclusion generators’ (IGs) because they have the ability to generate inclusions when a seed is provided (in this case by Pea2). We tested if any of those chimeras were able to transport mHtt103QP into the daughter cell but found that Hsp104 was the only protein capable of doing so (Supplementary Data 1). This suggests that inclusion formation of any protein is not sufficient to sequester the aggregation-prone mHtt to such inclusions and that the mHtt aggregates found to bind the Pea2-Hsp104 fusion are bona fide aggregates.
Gene ontology analysis of IGs revealed a marked enrichment of genes involved in vesicle trafficking as well as in the synthesis of amino acids, nucleotides, and lipids. Interestingly, several peroxisomal, lipid droplet genes, and Dcp2 (a P-body protein) were identified in the screen as inclusion generators, suggesting that their organization and formation might be mediated by a similar seed mechanism (Fig. 5b, d). Of note, the artificial inclusions of those genes were also transported into daughter cells, suggesting that it is possible to manipulate their spatial location in the cell (Supplementary Fig. 5a). This may be instructive for example in the role of the importance of spatial control in P-body formation.
Interestingly, 33.8% of the here identified IGs were proteins found in a previous screen53 for heat-shock-induced aggregates (p < 0.0001, chi-square test; 6.4-fold enrichment, Supplementary Fig. 5b). In addition, the IGs were enriched for proteins that form homo oligomers (p < 0.0001, chi-square test, 2.7-fold enrichment, Supplementary Data 2), according to calculations based on the Uniprot database and a recent genome-wide oligomerization estimation54. Hetero-oligomerization is probably also a driving force for the IGs, but to our knowledge, no comparative study has been performed.
Many IGs are metabolic and lipid enzymes. It was previously demonstrated that numerous of those can form inclusions or filaments in human cells55,56, upon starvation57,58 and exponential growth of yeast cells59,60. The physiological role of these inclusions or filaments is unclear, but ATP depletion plays a possible role in their formation61.
We discovered that Tsa1 and the small heat shock proteins Hsp42 and Hsp26 are IGs. Hsp42 and Hsp26, as well as Btn2, have previously been termed ‘sequestrases’ for their ability to sequester misfolded/aggregated proteins47,62. We did not identify Btn2 as an IG in our screen (rank 395), but this might be due to low expression levels in the absence of stress.
The current view is that Hsp104, Tsa1, or Hsp42 accumulate into cytoplasmic foci upon cellular damage events16,63, but our results demonstrate that those proteins can also organize and generate self-inclusions in the absence of damage when concentrated to a specific structure/location in the cell. However, Tsa1 and the small heat shock proteins were all unable to sequester mHtt aggregates on their own (in the absence of Hsp104 inclusions; Supplementary Data 1), demonstrating that the formation of self-inclusions is not sufficient to sequester aggregates. In addition, in contrast to Hsp104-Pea2, the artificial inclusions of Tsa1-, Hsp42-, and Ura7-Pea2 were independent of Hsp70s for their formation (Supplementary Fig. 5c).
Exporting mHtt inclusions protects mother cells from death
We next wanted to use the ATS1 to address a question that has been widely debated in the field of the Huntington’s disease (and other neurological disorders), namely whether the large inclusions formed by the mutant protein is a protective measure by the cell or if such inclusions are cytotoxic. To do so, we assessed cellular effects of ATS1 on the viability of mother cells by labeling them with sulfo-cyanine5-NHS-ester, which marked the mother cells after cell division (Fig. 6a). mHtt103Q expression was then induced and the viability of the mother cells assessed with flow cytometry. First, we observed that the ATS1 decreased the fraction of mother cells displaying mHtt103Q inclusions by approximately 24% (Fig. 6b). Correspondingly, this led to a 30% reduction in mHtt-mediated cell death in mother cells when freeing them from mHtt (Fig. 6c, Supplementary Fig. 6a). Thus, this suggests that even the large inclusions of mHtt are, to some degree, cytotoxic. With the development of the ATS1 tool of aggregate removal from the mother cell, we also had the opportunity to test if protein inclusions might constitute a causal factor in the replicative aging of yeast. We performed microdissection lifespan analysis with the constitutive expression of ATS1 and could observe a small but not statistically significant effect (p = 0.38) on the lifespan of ATS1 mother cells compared to mother cells without ATS1 (Supplementary Fig. 6b). Similar results were obtained with microfluidics-based lifespan experiments (Supplementary Fig. 6c). Because in constitutive ATS1 strains, the daughters picked for lifespan analysis are born with more damage than they would otherwise be, we used a doxycycline-inducible ATS1 to overcome this problem so that the transport system was induced after picking the daughters for lifespan analysis. However, this approach gave similar results as with the constitutive ATS1 that was not statistically significant (p = 0.83) (Fig. 6d). There are several possibilities explaining the small or non-existent effect of mother cell lifespan when freed of aggregates. Firstly, the large, single inclusions formed by the artificial ATS1 might be mostly inert and non-toxic whereas smaller, and potentially harmful, oligomers and aggregates of misfolded proteins not recognized by ATS1 still stay in the mother cell. Secondly, it is possible that the efficiency of ATS1 in transporting aggregates might diminish with age as it relies on actin cables, which have been shown to degenerate during mother cell aging64. Thirdly, protein inclusions may not be aging factors in yeast mother cells.
Manipulations of mHtt inclusions in human cells
To investigate if mHtt inclusions can also be manipulated in cultured human cells, we transfected HEK293 cells with codon-optimized Hsp104. In analogy to our yeast-based engineering, we aimed to induce artificial Hsp104 inclusions in human cells by fusing it to various potential seed-forming proteins. Fusing Hsp104-mCherry to the HIV capsid protein Gag (ATS4) induced the formation of artificial inclusions, while Hsp104-mCherry was distributed diffusely in the cytoplasm (Fig. 7a). Gag is the main structural protein of retroviruses and its expression alone is sufficient to drive the formation of virus-like particles65. Of note, Gag-based virus-like particles have the ability to transport cargo through the plasma membrane66 and potentially protein aggregates. We observed that Hsp104-Gag inclusions could serve as aggregation seeds for mHtt119Q, suggesting that spatial manipulations of disease aggregates are possible with this approach (Fig. 7b). In human cells, the mHtt119Q aggregates are normally localized in the aggresome proximal to both the centrosome and the nucleus31,32. Spatial manipulations of the aggresome should therefore change its distance to the nucleus. Using Hsp104-Gag for aggregate seeding indeed changed the distance of the early mHtt119Q seed, as determined by timelapse microscopy, showing that mHtt119Q aggregates were diverted from the aggresome (Fig. 7c). In 66% of the cases, an artificial Hsp104-Gag inclusion served as an aggregation seed for mHtt119Q (Fig. 7d). Using Hsp104-Gag also changed the morphology of mHtt inclusions: There was a higher frequency of several mHtt inclusions and of ‘ruffled’ inclusions (Fig. 7e, f), further indicating that normal aggresome formation of mHtt119Q had been debilitated. Thus, the system could potentially be used to test to what extent the toxicity of different disease proteins is affected, or not, by being sequestered to aggresomes.
Our work demonstrates that protein aggregate inclusions are amenable to several kinds of spatial manipulations and we believe that the artificial aggregate targeting systems described herein have the potential to be useful as an alternative, complementary approach to study the role of sPQC in aging and neurodegenerative diseases. However, it should be noted that these systems are artificial, engineered tools and therefore observations must be treated with caution regarding extrapolation to natural systems. To what extent such artificial targeting, as an alternative to current strategies, such as antisense oligonucleotides (ASOs) or antibody-based therapies, can be used therapeutically, is too early to assess. However, it has been shown that C. elegans possesses a mechanism to clear its neurons from protein aggregates, including mutant human huntingtin, via membrane-surrounded vesicles called exophers67. Thus, it is conceivable that a potential therapeutic approach using Hsp100-based artificial targeting systems could be used to sequester mHtt to Hsp100-containing inclusion-forming seeds that are targeted to different locations within or outside the cell. It has been proposed also that small mHtt oligomers are the main toxic species rather than the large inclusions68,69 and sequestering such oligomers into artificial seed-forming inclusions may be a measure to reduce the toxicity of mHtt and other neurological disease proteins.
Strains, plasmids, and growth conditions
Plasmids and strains are listed in Supplementary Tables 1 and 2, respectively. The strains used in this study are derivatives of BY4741 (MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0). Cells were cultured at 30 °C in rich YPD medium, in complete synthetic medium (CSM) or in synthetic dropout (SD) media (Formedium). For galactose induction, cells were grown overnight in SD-Ura with 2% (w/v) raffinose and 0.2% (w/v) glucose. Subsequently, cells were diluted to an OD600 of 0.1 in SD-Ura with 1% (w/v) galactose and 1% (w/v) raffinose and grown for 4.5 h. Deletion strains were from the Yeast Knockout Collection70. Strains with GFP-labeled endogenous proteins were from the yeast GFP clone collection (ThermoFisher Scientific)52. All plasmids were verified by DNA sequencing. p416 25Q GPD was a gift from Susan Lindquist (Addgene plasmid # 1177; http://n2t.net/addgene:1177; RRID:Addgene_1177). p416 103Q GPD was a gift from Susan Lindquist (Addgene plasmid # 1180; http://n2t.net/addgene:1180; RRID:Addgene_1180). pAG416GPD-EGFP was a gift from Susan Lindquist (Addgene plasmid # 14196; http://n2t.net/addgene:14196; RRID:Addgene_14196). Human codon-optimized Hsp104 was generated through gblocks gene fragments (Integrated DNA Technologies).
Transformations were done using the standard lithium acetate protocol and transformants were confirmed using PCR and phenotypic assays. Variants of ATS were genomically integrated at the MET15 locus, by cutting the plasmids containing the ATS variant with PmeI (ThermoFisher Scientific), which introduces two cuts and exposes homology regions to the MET15 locus. The integrated ATS variants contained the CYC1 terminator and were under the control of the weak constitutive ADH1 promoter, unless stated otherwise.
Growth time analysis
Yeast cells were grown overnight at 30 °C, diluted to an optical density at 600 nm (OD600) of 0.1, and distributed in a 24-well microtiter plate with a total volume of 800 µl per well. The microtiter plate was then sealed with a MicroAmp optical adhesive film (ThermoFisher Scientific) and punctured with a 23 Gauge needle for air exchange. A plate reader (Biotek Synergy 2 SL Microplate Reader and Biotek Gen5 v1.7 Data Analysis Software) was used to monitor OD600 of the cultures every 15 min for 24 h. For experiments with inducible expression, the galactose induction was started at the beginning of the plate reader monitoring.
Serial growth assay
Exponentially growing cells were cultured in YPD and diluted to an optical density of 0.1 followed by 10-fold dilutions. 5 µl of each dilution was spotted onto solid YPD agar media. Images were taken after 48 h of growth at the indicated temperature.
Human cell culture and transient transfection
Human HEK293 cells (obtained from ATCC, catalog number: CRL-1573) were cultured at 37 °C and 5% CO2 in DMEM (ThermoFisher Scientific), supplemented with 10% fetal bovine serum (ThermoFisher Scientific), 100 units/mL penicillin and 100 µg/mL streptomycin (ThermoFisher Scientific). For transient transfection, 50,000 cells were seeded per well (24-well plate, 500 µl growth medium). After 24 h, cells were transfected with Lipofectamine 3000 (ThermoFisher Scientific) according to the manufacturer’s instruction using 3 µl transfection reagent per µg DNA and 2 µl of p3000 reagent per µg DNA. Per well 500 ng of DNA was used. After 24 h, cells were fixed in 3.7% formaldehyde solution and mounted using Fluoromount-G Mounting Medium, with DAPI (ThermoFisher Scientific).
Images were mostly obtained using an Axio Observer Z1 fluorescence microscope (Zeiss), equipped with an Axiocam 506 mono camera and a 20×, as well as a 100× oil objective lens (Plan-APOCHROMAT 100×/1.4 Oil DIC) controlled by the Zen blue software. Raw data were collected as Z-stacks and projected using ImageJ (NIH) with manual quantification.
For yeast cells, SD medium containing agar was poured into a Gene Frame (ThermoFisher Scientific) attached to a cover glass. Cells were loaded and the agar pad was sealed with a coverslip. The cells were transferred into an incubation chamber maintained at 30 °C. Images were obtained using an Axio Observer 7 fluorescence microscope (Zeiss), equipped with an Axiocam 506 mono camera and a 20×, as well as 100× oil objective lens (Plan-APOCHROMAT 100×/1.4 Oil DIC). Focus stabilization was done with the Definite Focus module (Zeiss).
For human HEK293 cells, 40,000 cells were seeded into µ-Slide 4 Well chambered coverslips (Ibidi) using medium without phenol red. Cell transfection was performed as described above using medium without phenol red. After 24 h, HEPES pH 7.4 buffer was added to a final concentration of 25 mM and the cells were transferred to a incubation chamber maintained at 37 °C. Images were obtained using an Axio Observer 7 fluorescence microscope (Zeiss), equipped with an Axiocam 506 mono camera, and a 20× objective lens.
Heat shock treatments
Yeast cells were subjected to a continuous 38 °C heat shock in a shaking water bath, using 100 ml Erlenmeyer flasks.
Hsf1 activity reporter assay
The activity of the Hsf1-dependent stress response was determined as described previously43. Briefly, yeast cells were transformed with a plasmid (pAM10) carrying the luciferase NanoLuc under the control of a heat shock promoter (HSE) or with a control plasmid (pAM09). Nano-Glo substrate (Promega) was diluted 1:100 with the supplied lysis buffer and mixed 1:10 with cells grown in SD-Ura medium in a white 96-well plate. Bioluminescence was determined immediately, using a plate reader (Biotek Synergy 2 SL).
Synthetic genetic array screen and high-content microscopy
A genome-wide SGA screen was performed as described previously71, using a BM3-BC colony handling robot (S&P Robotics Inc.). The screen was run in 1536 spot format with the GBP-Pea2 query strain (with expression of mHtt103QP-mCherry) in the Y7039 background, crossed to the yeast GFP clone collection (ThermoFisher Scientific)52. Final strains were grown in 96-well plates in liquid SD medium to an OD600 of about 0.5. Cells were then transferred to a black 384-well plate with a glass bottom (Matriplate). DAPI was added to a final concentration of 3 µg/ml to visualize nuclei and whole cells. Imaging was then performed with a ImageXpress Micro high content microscope (Molecular Devices) using the MetaXpress v6.2 software (Molecular Devices). The ratio of GFP intensity in the artificial inclusion in relation to the cytoplasm was measured, as well as the fraction of cells with artificial inclusion. From the initial screen the top 78 strains were selected (ratio × fraction, cutoff 0.55) and three more independent experiments were performed with those to validate the screen results. As controls, the corresponding strains from the GFP clone collection were used without GBP-Pea2 and mHtt103QP-mCherry. GO analysis of biological process enrichment was performed with the DAVID Functional Annotation Tool (david.ncifcrf.gov), using the GOTERM_BP_DIRECT option. For all GO analyses, default settings were used, and categories with a p-value of <0.05 were considered as significantly enriched. Only enriched pathways with at least 3 screen hit genes were considered. Network analysis was performed by the STRING database (string-db.org) with all default setting but without text-mining. The STRING database creates a network from a gene list, based on its physical interactions and functional associations. The results were then exported to the cytoscape software (version 3.9.0) for visualization.
Lifespan analysis by microdissection
Yeast replicative lifespan was measured by using a Singer MSM micromanipulator and following standard procedures72. Lifespan figures in the main text depict a representative experiment. All lifespans were tested in at least two separate sets (n) of experiments. Lifespan p-values were determined using the Gehan–Breslow–Wilcoxon test.
Lifespan analysis by microfluidics
Microfluidics time-lapse microscopy was performed using a Zeiss Axio Observer 7 inverted fluorescence microscope with Definite Focus, equipped with an Axiocam 506 mono camera (Zeiss). Images were taken with a ×40 objective. During the experiment, the microfluidics device (iBiochips) was heated to 30 °C in a heating chamber. The microscope was programmed to acquire brightfield images every 15 min for a total of about 65 h. Occasionally, GFP images were also taken. Camera binning was set to 3. A stack of three planes was taken. Cells were grown overnight in YPD medium (2% glucose). On the next day, cells were diluted to an OD600 of 0.1 and grown until an OD of 0.6. Cells were put into a 1-ml syringe and four yeast strains were loaded at the same time into the microfluidics chip using a NE-4000 syringe pump (New Era Pumps) with a flow rate of 1 µl/min. As soon as the traps were filled, the cell loading ports were closed with a metal pin. The medium flow rate was set to 10 µl/min using a NE-1000 syringe pump (New Era Pumps). Sterile filtered YPD medium in a 60-ml syringe was used. Time-lapse images were analyzed manually. Amount of cell divisions were counted. Yeast RLS p-values were determined using the Gehan–Breslow–Wilcoxon test.
Log-phase cells were fixed in 3.7% formaldehyde solution for 20 min, followed by two washes with PBS. The cells were then permeabilized with 0.2% Triton X-100 in PBS for 15 min, and then washed twice with PBS. The cells were then stained with Phalloidin-iFluor555 (Abcam) in PBS + 1% (w/v) BSA for 30 min, followed by three washes with PBS + 1% (w/v) BSA. Confocal images were taken with a Dragonfly spinning disk microscope (Andor) using a 100× oil objective and Fusion 220.127.116.11 software.
Cell death analysis in yeast mother cells
Log-phase cells, grown in SD-Ura with 2% raffinose, were labeled with 5 µg/ml sulfo-cyanine5-NHS ester (Lumiprobe) in PBS for 10 min at RT. Cells were washed twice with PBS. Subsequently, the cells were grown for 1 h in SD-Ura with 2% raffinose and then induced with 1% galactose for 3.5 h. After a wash with PBS and cell death staining with 0.4 µg/ml DAPI (ThermoFisher Scientific), the cell death rate was determined with flow cytometry (BD LSRFortressa) using FACSDiva 6.1.3 software (BD). Three to four independent experiments were performed with 30,000 Cyanine5-positive cells being evaluated. Statistical analysis was performed using two-tailed Student’s t-test. Gating strategy is shown in Supplementary Fig. 7.
Protein extraction, SDS-PAGE, and western blot
Cells were pre-cultured overnight, diluted to OD600 = 0.1, and grown until mid-exponential phase (OD600 ~ 0.5) in YPD at 22 °C (Hsp70 mutant strains and control) or 30 °C. Cells were harvested as 2 OD600 units, resuspended in 200 µl of 0.2 M NaOH, and incubated for 20 min on ice. Cell pellets were resuspended in 50 µl Laemmli sample buffer (Bio-Rad) supplemented with β-mercaptoethanol and boiled for 5 min at 95 °C. 25 µl supernatant was typically loaded per lane on a 4–15% precast polyacrylamide 18 well Criterion TGX protein gel (Bio-Rad). Gel transfer onto PVDF membranes was performed using a wet blotting system (Criterion, Bio-Rad). Membranes were probed with anti-GFP (ab6556, Abcam, 1/10,000 dilution) and anti-Pgk1 (ab90787, Abcam, 1/10,000 dilution) as a loading control overnight at 4 °C. As secondary antibodies, goat anti-mouse IRDye 800CW and goat anti-rabbit IRDye 680RD were used (LI-COR; 1/20,000 dilution) and membranes were scanned using the LI-COR Odyssey Infrared scanner. Hsp104-GFP-Pea2 protein levels were calculated by measuring the background corrected band intensities using Fiji/ImageJ 2.1.0/1.53c software and normalizing to Pgk1 protein levels. The adjusted Hsp104-GFP-Pea2 protein level of the respective control strain was set to 1. Four independent experiments were performed. Uncropped Western blots are shown in Supplementary Fig. 8.
Statistics and reproducibility
Data collection and date quantifications were performed with Microsoft Excel 2016. The experiments were performed in three independent experiments unless specified. Lifespan experiments were performed in two independent experiments. All attempts to repeat the experiments were successful. Statistical analysis was performed using GraphPad Prism 9. Data in graphs are presented as mean +/− SEM and were analyzed using unpaired two-tailed t-test, if not stated otherwise. Growth curves were analyzed by two-way ANOVA. Replicative lifespan data was analyzed as described above. Significance levels *<0.05, **<0.01, ***<0.001, ****<0.0001.
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Gems, D. & Partridge, L. Genetics of longevity in model organisms: debates and paradigm shifts. Annu. Rev. Physiol. 75, 621–644 (2013).
Kirkwood, T. B. Understanding the odd science of aging. Cell 120, 437–447 (2005).
Vijg, J. & Campisi, J. Puzzles, promises and a cure for ageing. Nature 454, 1065–1071 (2008).
Steinkraus, K. A., Kaeberlein, M. & Kennedy, B. K. Replicative aging in yeast: the means to the end. Annu. Rev. Cell Dev. Biol. 24, 29–54 (2008).
Kaeberlein, M. Lessons on longevity from budding yeast. Nature 464, 513–519 (2010).
Aguilaniu, H., Gustafsson, L., Rigoulet, M. & Nystrom, T. Asymmetric inheritance of oxidatively damaged proteins during cytokinesis. Science 299, 1751–1753 (2003).
Erjavec, N., Larsson, L., Grantham, J. & Nystrom, T. Accelerated aging and failure to segregate damaged proteins in Sir2 mutants can be suppressed by overproducing the protein aggregation-remodeling factor Hsp104p. Genes Dev. 21, 2410–2421 (2007).
McFaline-Figueroa, J. R. et al. Mitochondrial quality control during inheritance is associated with lifespan and mother–daughter age asymmetry in budding yeast. Aging Cell 10, 885–895 (2011).
Lai, C. Y., Jaruga, E., Borghouts, C. & Jazwinski, S. M. A mutation in the ATP2 gene abrogates the age asymmetry between mother and daughter cells of the yeast Saccharomyces cerevisiae. Genetics 162, 73–87 (2002).
Hughes, A. L. & Gottschling, D. E. An early age increase in vacuolar pH limits mitochondrial function and lifespan in yeast. Nature 492, 261–265 (2012).
Sinclair, D. A. & Guarente, L. Extrachromosomal rDNA circles—a cause of aging in yeast. Cell 91, 1033–1042 (1997).
Kruegel, U. et al. Elevated proteasome capacity extends replicative lifespan in Saccharomyces cerevisiae. PLoS Genet. 7, e1002253 (2011).
Janssens, G. E. et al. Protein biogenesis machinery is a driver of replicative aging in yeast. eLife 4, e08527 (2015).
Moreno, D. F. et al. Proteostasis collapse, a hallmark of aging, hinders the chaperone-Start network and arrests cells in G1. Elife 8, https://doi.org/10.7554/eLife.48240 (2019).
Hill, S. M., Hao, X., Liu, B. & Nystrom, T. Life-span extension by a metacaspase in the yeast Saccharomyces cerevisiae. Science 344, 1389–1392 (2014).
Hanzen, S. et al. Lifespan control by redox-dependent recruitment of chaperones to misfolded proteins. Cell 166, 140–151 (2016).
Hill, S. et al. Asymmetric inheritance of aggregated proteins and age reset in yeast are regulated by Vac17-dependent vacuolar functions. Cell Rep. 16, 826–838 (2016).
Dobson, C. M. Protein folding and misfolding. Nature 426, 884–890 (2003).
DeSantis, M. E. et al. Operational plasticity enables hsp104 to disaggregate diverse amyloid and nonamyloid clients. Cell 151, 778–793 (2012).
Tyedmers, J., Mogk, A. & Bukau, B. Cellular strategies for controlling protein aggregation. Nat. Rev. Mol. Cell Biol. 11, 777–788 (2010).
Hill, S. M., Hanzen, S. & Nystrom, T. Restricted access: spatial sequestration of damaged proteins during stress and aging. EMBO Rep. 18, 377–391 (2017).
Babazadeh, R. et al. Syntaxin 5 is required for the formation and clearance of protein inclusions during proteostatic stress. Cell Rep. 28, 2096–2110.e2098 (2019).
Escusa-Toret, S., Vonk, W. I. & Frydman, J. Spatial sequestration of misfolded proteins by a dynamic chaperone pathway enhances cellular fitness during stress. Nat. Cell Biol. 15, 1231–1243 (2013).
Kaganovich, D., Kopito, R. & Frydman, J. Misfolded proteins partition between two distinct quality control compartments. Nature 454, 1088–U1036 (2008).
Miller, S. B. M. et al. Compartment-specific aggregases direct distinct nuclear and cytoplasmic aggregate deposition. EMBO J. 34, 778–797 (2015).
Zhou, C. et al. Organelle-based aggregation and retention of damaged proteins in asymmetrically dividing. Cells Cell 159, 530–542 (2014).
Specht, S., Miller, S. B. M., Mogk, A. & Bukau, B. Hsp42 is required for sequestration of protein aggregates into deposition sites in Saccharomyces cerevisiae. J. Cell Biol. 195, 617–629 (2011).
Shiber, A., Breuer, W., Brandeis, M. & Ravid, T. Ubiquitin conjugation triggers misfolded protein sequestration into quality control foci when Hsp70 chaperone levels are limiting. Mol. Biol. Cell 24, 2076–2087 (2013).
Samant, R. S., Livingston, C. M., Sontag, E. M. & Frydman, J. Distinct proteostasis circuits cooperate in nuclear and cytoplasmic protein quality control. Nature 563, 407–411 (2018).
Spokoini, R. et al. Confinement to organelle-associated inclusion structures mediates asymmetric inheritance of aggregated protein in budding yeast. Cell Rep. 2, 738–747 (2012).
Johnston, J. A., Ward, C. L. & Kopito, R. R. Aggresomes: a cellular response to misfolded proteins. J. Cell Biol. 143, 1883–1898 (1998).
Christian Wigley, W. et al. Dynamic association of proteasomal machinery with the centrosome. J. Cell Biol. 145, 481–490 (1999).
Liu, B. et al. The polarisome is required for segregation and retrograde transport of protein aggregates. Cell 140, 257–267 (2010).
Saarikangas, J. & Barral, Y. Protein aggregates are associated with replicative aging without compromising protein quality control. Elife 4, e06197 (2015).
King, G. A. et al. Meiotic cellular rejuvenation is coupled to nuclear remodeling in budding yeast. eLife 8, e47156 (2019).
Unal, E., Kinde, B. & Amon, A. Gametogenesis eliminates age-induced cellular damage and resets life span in yeast. Science 332, 1554–1557 (2011).
Dünkler, A. et al. Type V myosin focuses the polarisome and shapes the tip of yeast cells. J. Cell Biol. 220, e202006193 (2021).
Krobitsch, S. & Lindquist, S. Aggregation of huntingtin in yeast varies with the length of the polyglutamine expansion and the expression of chaperone proteins. Proc. Natl Acad. Sci. USA 97, 1589–1594 (2000).
Winter Georg, E. et al. Phthalimide conjugation as a strategy for in vivo target protein degradation. Science 348, 1376–1381 (2015).
Sakamoto, K. M. et al. Protacs: Chimeric molecules that target proteins to the Skp1–Cullin–F box complex for ubiquitination and degradation. Proc. Natl Acad. Sci. USA 98, 8554 (2001).
Banik, S. M. et al. Lysosome-targeting chimaeras for degradation of extracellular proteins. Nature 584, 291–297 (2020).
Comyn, S. A., Young, B. P., Loewen, C. J. & Mayor, T. Prefoldin promotes proteasomal degradation of cytosolic proteins with missense mutations by maintaining substrate solubility. PLOS Genet. 12, e1006184 (2016).
Masser, A. E., Kandasamy, G., Kaimal, J. M. & Andréasson, C. Luciferase NanoLuc as a reporter for gene expression and protein levels in Saccharomyces cerevisiae. Yeast 33, 191–200 (2016).
Mackay, R. G., Helsen, C. W., Tkach, J. M. & Glover, J. R. The C-terminal extension of Saccharomyces cerevisiae Hsp104 plays a role in oligomer assembly. Biochemistry 47, 1918–1927 (2008).
Schirmer, E. C., Queitsch, C., Kowal, A. S., Parsell, D. A. & Lindquist, S. The ATPase activity of Hsp104, effects of environmental conditions and mutations. J. Biol. Chem. 273, 15546–15552 (1998).
Saarikangas, J. & Barral, Y. Protein aggregation as a mechanism of adaptive cellular responses. Curr. Genet. 62, 711–724 (2016).
Ho, C. T. et al. Cellular sequestrases maintain basal Hsp70 capacity ensuring balanced proteostasis. Nat. Commun. 10, 4851 (2019).
Song, J. et al. Essential genetic interactors of SIR2 required for spatial sequestration and asymmetrical inheritance of protein aggregates. PLOS Genet. 10, e1004539 (2014).
Wang, J. et al. Progressive aggregation despite chaperone associations of a mutant SOD1-YFP in transgenic mice that develop ALS. Proc. Natl Acad. Sci. USA 106, 1392–1397 (2009).
Münch, C. & Bertolotti, A. Exposure of hydrophobic surfaces initiates aggregation of diverse ALS-causing superoxide dismutase-1 mutants. J. Mol. Biol. 399, 512–525 (2010).
Rothbauer, U. et al. A versatile nanotrap for biochemical and functional studies with fluorescent fusion proteins. Mol. Cell Proteom. 7, 282–289 (2008).
Huh, W. K. et al. Global analysis of protein localization in budding yeast. Nature 425, 686–691 (2003).
Ruan, L. et al. Cytosolic proteostasis through importing of misfolded proteins into mitochondria. Nature 543, 443–446 (2017).
Danielli, L., Li, X., Tuller, T. & Daniel, R. Quantifying the distribution of protein oligomerization degree reflects cellular information capacity. Sci. Rep. 10, 17689 (2020).
Carcamo, W. C. et al. Induction of cytoplasmic rods and rings structures by inhibition of the CTP and GTP synthetic pathway in mammalian cells. PLoS ONE 6, e29690 (2011).
Chen, K. et al. Glutamine analogs promote cytoophidium assembly in human and Drosophila cells. J. Genet. Genomics 38, 391–402 (2011).
Narayanaswamy, R. et al. Widespread reorganization of metabolic enzymes into reversible assemblies upon nutrient starvation. Proc. Natl Acad. Sci. USA 106, 10147–10152 (2009).
Suresh, H. G. et al. Prolonged starvation drives reversible sequestration of lipid biosynthetic enzymes and organelle reorganization in Saccharomyces cerevisiae. Mol. Biol. Cell 26, 1601–1615 (2015).
Noree, C., Sato, B. K., Broyer, R. M. & Wilhelm, J. E. Identification of novel filament-forming proteins in Saccharomyces cerevisiae and Drosophila melanogaster. J. cell Biol. 190, 541–551 (2010).
Shen, Q.-J. et al. Filamentation of metabolic enzymes in Saccharomyces cerevisiae. J. Genet. Genomics 43, 393–404 (2016).
Sathyanarayanan, U. et al. ATP hydrolysis by yeast Hsp104 determines protein aggregate dissolution and size in vivo. Nat. Commun. 11, 5226 (2020).
Mogk, A., Ruger-Herreros, C. & Bukau, B. Cellular functions and mechanisms of action of small heat shock proteins. Annu Rev. Microbiol 73, 89–110 (2019).
Grousl, T. et al. A prion-like domain in Hsp42 drives chaperone-facilitated aggregation of misfolded proteins. J. Cell Biol. https://doi.org/10.1083/jcb.201708116 (2018).
Gourlay, C. W., Carpp, L. N., Timpson, P., Winder, S. J. & Ayscough, K. R. A role for the actin cytoskeleton in cell death and aging in yeast. J. Cell Biol. 164, 803–809 (2004).
Gheysen, D. et al. Assembly and release of HIV-1 precursor Pr55gag virus-like particles from recombinant baculovirus-infected insect cells. Cell 59, 103–112 (1989).
Votteler, J. et al. Designed proteins induce the formation of nanocage-containing extracellular vesicles. Nature 540, 292–295 (2016).
Melentijevic, I. et al. C. elegans neurons jettison protein aggregates and mitochondria under neurotoxic stress. Nature 542, 367–371 (2017).
Kim, Y. E. et al. Soluble oligomers of PolyQ-expanded huntingtin target a multiplicity of key cellular factors. Mol. Cell 63, 951–964 (2016).
Arrasate, M., Mitra, S., Schweitzer, E. S., Segal, M. R. & Finkbeiner, S. Inclusion body formation reduces levels of mutant huntingtin and the risk of neuronal death. Nature 431, 805–810 (2004).
Winzeler, E. A. et al. Functional characterization of the S. cerevisiae genome by gene deletion and parallel analysis. Science 285, 901–906 (1999).
Tong, A. H. et al. Systematic genetic analysis with ordered arrays of yeast deletion mutants. Science 294, 2364–2368 (2001).
Egilmez, N. K., Chen, J. B. & Jazwinski, S. M. Preparation and partial characterization of old yeast cells. J. Gerontol. 45, B9–B17 (1990).
We thank all members of the Nyström laboratory as well as Mikael Molin and Claes Andréasson for discussion; Harm Kampinga for the pHttQ119-EYFP plasmid; John McCullough for the pGag_eGFP plasmid; Lisa Larsson Berglund for yeast mHtt plasmids; Per Widlund for a MET15 locus integrative plasmid backbone (pPW411), for a Myo2 plasmid, as well as for pro3-1, guk1-7 and gus1-3 misfolding reporter plasmids and strains. Claes Andréasson for plasmids pAM09 and pAM10 for the Hsf1 activity reporter assay; Sarah Hanzén for mutant Tsa1 strains; Martí Aldea for the YDJ1-GFP-FS strain; Nils Johnsson for the MYO2R1419D mutant strain and for the Spa2-GFP strain; the FACS and Imaging Core Facility at the Max Planck Institute for Biology of Ageing for performing the flow cytometer experiments; Benedict G. Tan for critically reading the manuscript. The study was supported by a research fellowship (396975076) to A.F. from the German research foundation (DFG), as well as grants from the Swedish Research Council (2019-03937) and Knut and Alice Wallenberg Foundation (KAW 2017.0091) to T.N.
Open access funding provided by University of Gothenburg.
The authors declare no competing interests.
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Fischbach, A., Johns, A., Schneider, K.L. et al. Artificial Hsp104-mediated systems for re-localizing protein aggregates. Nat Commun 14, 2663 (2023). https://doi.org/10.1038/s41467-023-37706-3