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Research Paper

Neurodegenerative disease-associated inclusion bodies are cleared by selective autophagy in budding yeast

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Article: 2236407 | Received 10 Feb 2023, Accepted 06 Jul 2023, Published online: 07 Aug 2023

ABSTRACT

Protein misfolding, aggregation, and accumulation cause neurodegenerative disorders. One such disorder, Huntington’s disease, is caused by an increased number of glutamine-encoding trinucleotide repeats CAG in the first exon of the huntingtin (HTT) gene. Mutant proteins of Htt exon 1 with polyglutamine expansion are prone to aggregation and form pathological inclusion bodies in neurons. Extensive studies have shown that misfolded proteins are cleared by the ubiquitin-proteasome system or autophagy to alleviate their cytotoxicity. Misfolded proteins can form small soluble aggregates or large insoluble inclusion bodies. Previous works have elucidated the role of autophagy in the clearance of misfolded protein aggregates, but autophagic clearance of inclusion bodies remains poorly characterised. Here we use mutant Htt exon 1 with 103 polyglutamine (Htt103QP) as a model substrate to study the autophagic clearance of inclusion bodies in budding yeast. We found that the core autophagy-related proteins were required for Htt103QP inclusion body autophagy. Moreover, our evidence indicates that the autophagy of Htt103QP inclusion bodies is selective. Interestingly, Cue5/Tollip, a known autophagy receptor for aggrephagy, is dispensable for this inclusion body autophagy. From the known selective autophagy receptors in budding yeast, we identified three that are essential for inclusion body autophagy. Amyloid beta peptide (Aβ42) is a major component of amyloid plaques found in Alzheimer’s disease brains. Interestingly, a similar selective autophagy pathway contributes to the clearance of Aβ42 inclusion bodies in budding yeast. Therefore, our results reveal a novel autophagic pathway specific for inclusion bodies associated with neurodegenerative diseases, which we have termed IBophagy.

Introduction

Proper protein folding is essential for the functions of all proteins. Although protein folding is tightly regulated, protein misfolding can occur under normal physiological conditions and is exacerbated by genetic mutations, environmental stress, and oxidative stress. Misfolded proteins are prone to aggregation, resulting in the formation of small soluble aggregates and large insoluble inclusion bodies (IBs) [Citation1]. Misfolded proteins confer cytotoxicity by disrupting multiple cellular processes or by depleting free ubiquitin [Citation2-4]. Accumulation of misfolded proteins is linked to more than 40 different neurodegenerative disorders, including Alzheimer’s and Huntington’s diseases [Citation5]. To combat the cytotoxicity of misfolded proteins, cells have developed quality control systems to correctly refold or dispose of misfolded proteins. The ubiquitin-proteasome system and autophagy play a major role in the clearance of misfolded proteins [Citation6-8]. However, the autophagic clearance of misfolded protein aggregates and IBs is not fully understood.

Huntington’s disease is a neurodegenerative disorder characterised by progressive motor and cognitive deficits caused by an expansion of CAG (glutamine-encoding) repeats within the exon 1 of the HTT gene. Individuals who have more than 39 CAG repeats will develop symptoms of Huntington’s disease, and the age of disease onset is inversely correlated with the number of CAG repeats [Citation9]. It is well established that the accumulation of N-terminal fragments of Htt with polyQ repeats gives rise to cytotoxicity [Citation10]. Aberrant splicing contributes to the generation of pathogenic Htt exon 1, which comprises 17 N-terminal amino acids followed by the polyQ tract and a proline-rich region [Citation11]. Results using a mouse model indicate that expression of Htt exon 1 with polyQ expansion (hereafter mHtt) is sufficient to cause the development of Huntington’s disease [Citation12]. Thus, this mHtt has been widely used to investigate its cytotoxicity and clearance.

A recent study analysed the structural and material properties of mHtt assemblies in vivo and in vitro. The polyQ and proline-rich region of mHtt protein drive reversible liquid-like assemblies. The liquid-like assemblies can convert into solid- or gel-like assemblies that contain fibrillar structures both in vitro and in yeast/mammalian cells [Citation13]. Yeast and mammalian cells expressing mHtt form IBs, and high resolution cryo-electron tomography shows that the core structure of mHtt IBs consists of amyloid fibrils [Citation14,Citation15]. In addition to the mHtt fibrils, these IBs also include different cellular proteins and membranous organelles. The surface of mHtt IBs is enriched in endoplasmic reticulum (ER) membrane, mitochondria, endomembranes, and vesicles [Citation16]. Therefore, expression of pathogenic mHtt first leads to the formation of small and soluble aggregates (oligomers) [Citation3,Citation17]. These aggregates further facilitate generation of mHtt amyloid fibrils and the subsequent formation of IBs, which are large and insoluble [Citation14,Citation16]. Although soluble mHtt aggregates can disrupt multiple cellular pathways by interacting with various proteins [Citation3], mHtt IBs are also cytotoxic since the fibril protrusions from the IBs can reorganise the ER network and reduce membrane dynamics [Citation14]. Therefore, the clearance of both misfolded protein aggregates and IBs is important for cells to combat the cytotoxicity of pathogenic mHtt proteins.

Macroautophagy (hereafter referred to as autophagy) is a highly conserved cellular process that degrades and recycles cellular components and proteins [Citation18]. Autophagy can be selective or non-selective. Starvation-induced autophagy is non-selective since it randomly engulfs cytosolic components into autophagosomes, which subsequently fuse with the vacuole/lysosome for degradation [Citation19]. In contrast, selective autophagy utilises selective autophagy receptors (SARs) to engulf specific cargos, which are then degraded after autophagosome-vacuole/lysosome fusion [Citation20]. Autophagy plays an important role in the clearance of misfolded proteins, and deletion of core autophagy-related genes leads to accumulation of polyubiquitinated inclusions/aggregates in mouse neurons [Citation21,Citation22]. Moreover, SARs, such as p62, OPTN, and ALFY localise at mHtt aggregates and are likely involved in their autophagic clearance [Citation23-25]. In addition, a conserved SAR Cue5/Tollip promotes the autophagy of misfolded protein aggregates, including mHtt, in both yeast and human cells [Citation26]. Thus, an important open question is whether misfolded protein aggregates and IBs share the same autophagy pathway for their clearance.

Amyloid β (Aβ) peptides are generated by proteolytic processing of a transmembrane amyloid precursor protein, and Aβ42 is a major component of extracellular amyloid plaques in the brains of patients with Alzheimer’s disease [Citation27]. Expression of Aβ42-GFP from a galactose-inducible promoter in yeast cells results in the formation of intracellular inclusions [Citation28,Citation29]. Thus, budding yeast has been used as a model to study the aggregation and toxicity of Aβ42 [Citation30,Citation31]. Lewy bodies containing α-synuclein are a neuropathological hallmark of Parkinson’s disease. Expression of α-synuclein in budding yeast also leads to formation of inclusions [Citation32,Citation33]. However, the role of autophagy in the clearance of IBs formed by Aβ42 and α-synuclein remains poorly understood.

Our previous works show that IBs formed by Htt exon 1 with 103 polyQ (Htt103QP) can be cleared by autophagy as evidenced by the defective vacuolar delivery of Htt103QP-GFP in atg8∆ mutants [Citation34,Citation35], but the role of other autophagy-related genes in the autophagic clearance of Htt103QP IBs remains unknown. In this study, we constructed a series of mutants lacking various autophagy-related genes and examined Htt103QP IB autophagy. First, we found that the core autophagy-related genes are required for the autophagy of Htt103QP IBs. Second, our results indicate that selective autophagy is responsible for the clearance of Htt103QP IBs. Lastly, we identified three SARs responsible for Htt103QP IB clearance by autophagy: Atg36 (pexophagy), Atg39 (nucleophagy), and Atg40 (ER-phagy), supporting the idea that mHtt IBs hijack these SARs for their autophagy. Interestingly, IBs formed by Aβ42, but not α-synuclein, are also cleared by the similar autophagy pathway. Therefore, our results identified an autophagy pathway specific for IBs formed by some neurodegenerative disease-associated proteins in budding yeast, and we refer to this pathway as IBophagy.

Results

The core autophagy machinery is required for autophagic clearance of mHtt IBs

Autophagy has been implicated in the clearance of mHtt aggregates in both yeast and mammalian cells [Citation26,Citation36,Citation37]. Although our previous works showed autophagic clearance of mHtt IBs [Citation34,Citation35], the autophagy pathway for mHtt IBs remains obscure. We first quantitatively analysed the process of autophagic clearance of Htt103QP IBs in wild-type (WT) and atg8Δ mutants since Atg8 is essential for different types of autophagy [Citation38]. For mHtt IB autophagy analysis, we utilised a previously constructed integrating plasmid PGAL-FLAG-Htt103QP-GFP [Citation34], which contains the first exon of Htt with a 103-polyQ expansion and a proline-rich domain (hereafter Htt103QP). In this construct, Htt103QP is tagged with FLAG at the N-terminus and green fluorescent protein (GFP) at the C-terminus and is under the control of a galactose-inducible promoter (GAL). PGAL-FLAG-Htt103QP-GFP was integrated into the yeast genome. These yeast cells also harbour mApple-tagged Vph1 (Vph1-mApple) to mark the vacuole and pep4Δ to stabilise Htt103QP inside the vacuole, as Pep4 is the key vacuolar protease [Citation39,Citation40].

We induced Htt103QP IB formation by growing cells in galactose media at 30°C. After overnight growth (16 hours), most cells showed a single large GFP dot, indicating Htt103QP IB formation. Then, glucose was added to suppress Htt103QP expression, which induces autophagy. At the same time 200 mM hydroxyurea was added to arrest cells in S-phase and eliminate the potential effect of cell division on autophagy (). After glucose addition for 2 hours, a large portion of WT cells showed GFP signal inside the vacuole, a likely result of autophagic trafficking of Htt103QP-GFP into the vacuole. However, no obvious vacuolar GFP signal was observed in atg8Δ mutant cells even after glucose addition for 6 hours (). We further measured the GFP fluorescence intensity inside the vacuole after glucose addition. It was clear that WT cells, but not atg8Δ mutants, exhibited a sharp increase of GFP signal after glucose addition for 2 hours, and the difference between WT and atg8Δ cells was significant (). We also counted the number of cells with IBs and/or vacuolar GFP. After glucose addition, the number of WT cells with IB(s) decreased over time, but the number of WT cells with vacuolar GFP increased. In clear contrast, these numbers remained stagnant for atg8Δ mutant cells (), indicating that the vacuolar delivery of Htt103QP-GFP depends on the autophagy pathway.

Figure 1. Htt103QP IBophagy requires the core autophagy machinery. a) A diagram showing the protocol for IBophagy induction. Yeast strains with PGALFLAG-Htt103QP-GFP were grown in 30°C galactose medium for 16 hours to induce Htt103QP IB formation. We then added glucose and hydroxyurea to repress Htt103QP expression and arrest the cell cycle, respectively. Vacuolar localisation of Htt103QP-GFP indicates IBophagy. b) Htt103QP IBophagy in WT and atg8Δ cells. After IBophagy induction, the localisation of Htt103QP-GFP was examined over time. Vph1-mApple marks the vacuole. Here, we show the images of Htt103QP-GFP and Vph1-mApple before (0) and after IBophagy induction for 3 and 6 hours. Scale bar = 5 μm. c) The IBophagy in WT and atg8Δ mutant cells was quantified by measuring fluorescence intensity of Htt103QP-GFP inside the vacuole in 50 cells at each time point. Statistical significance was determined by *p < 0.05, using Sidak’s two-way ANOVA. d) IBophagy quantification in WT and atg8Δ mutants was done by counting the percentage of cells with either an IB or vacuolar GFP signal (n > 100). e) The requirement of core autophagy-related genes for Htt103QP IBophagy.

Figure 1. Htt103QP IBophagy requires the core autophagy machinery. a) A diagram showing the protocol for IBophagy induction. Yeast strains with PGALFLAG-Htt103QP-GFP were grown in 30°C galactose medium for 16 hours to induce Htt103QP IB formation. We then added glucose and hydroxyurea to repress Htt103QP expression and arrest the cell cycle, respectively. Vacuolar localisation of Htt103QP-GFP indicates IBophagy. b) Htt103QP IBophagy in WT and atg8Δ cells. After IBophagy induction, the localisation of Htt103QP-GFP was examined over time. Vph1-mApple marks the vacuole. Here, we show the images of Htt103QP-GFP and Vph1-mApple before (0) and after IBophagy induction for 3 and 6 hours. Scale bar = 5 μm. c) The IBophagy in WT and atg8Δ mutant cells was quantified by measuring fluorescence intensity of Htt103QP-GFP inside the vacuole in 50 cells at each time point. Statistical significance was determined by *p < 0.05, using Sidak’s two-way ANOVA. d) IBophagy quantification in WT and atg8Δ mutants was done by counting the percentage of cells with either an IB or vacuolar GFP signal (n > 100). e) The requirement of core autophagy-related genes for Htt103QP IBophagy.

To examine if the vacuolar delivery of Htt103QP-GFP is dependent on IB formation, we compared vacuolar GFP intensity in yeast cells expressing either Htt25QP-GFP or Htt103QP-GFP after IBophagy induction. As reported previously, yeast cells expressing Htt25QP-GFP fail to form IBs [Citation41]. The increase of vacuolar GFP intensity after IBophagy induction was much less in cells expressing Htt25QP-GFP compared to that in cells expressing Htt103QP-GFP (Figure S1). The failure of vacuolar delivery of Htt25QP-GFP indicates that mHtt IBs, but not free mHtt proteins, are delivered into the vacuole. We previously showed proteasomal degradation of Htt103QP [Citation2], thus the failure of vacuolar delivery of Htt103QP in atg8Δ cells might be a result of impaired proteasomal degradation. To test this possibility, we examined Htt103QP stability using the glucose shut-off assay. The expression of FLAG-Htt103QP-GFP was induced in galactose medium for 1 hour, then glucose was added to shut off its expression. atg8Δ cells exhibited similar Htt103QP degradation kinetics as WT cells, while deletion of the E3 ligase SAN1 significantly stabilised Htt103QP as previously described (Figure S2) [Citation2]. This result indicates that the defective vacuole delivery of Htt103QP in atg8Δ cells is not due to impaired Htt103QP proteasomal degradation. Therefore, the defective delivery of Htt103QP IBs into the vacuole as well as the persistent appearance of Htt103QP IBs in atg8Δ cells after glucose addition suggests autophagic clearance of Htt103QP IBs.

In budding yeast, AAA ATPase Hsp104 functions as a disaggregase to dissolve protein aggregates and amyloids in cooperation with other chaperones [Citation42]. We previously showed that some chaperone proteins facilitate autophagy of Htt103QP IBs, and observed colocalization of Hsp104 with Htt103QP IBs [Citation35]. To test if Hsp104 contributes to the clearance/autophagy of Htt103QP IBs, we examined Htt103QP-GFP signal in hsp104∆ strains using our IBophagy protocol. IBophagy was clearly observed in hsp104∆ cells, although the kinetics is slightly slower than that in WT cells (Figure S3). Therefore, like other chaperone proteins, Hsp104 facilitates IBophagy but it is not essential for this process.

Among the autophagy-related (ATG) genes in budding yeast, 16 of them constitute the core autophagy machinery, which is essential for autophagosome formation. These core ATG genes are shared by both non-selective and selective autophagy [Citation19]. In addition to atg8Δ, we constructed yeast strains expressing Htt103QP-GFP but lacking other core autophagy related proteins (Atg1, Atg2, Atg3, Atg4, Atg5, Atg6, Atg7, Atg9, Atg10, Atg12, Atg13, Atg14, Atg15, Atg16, and Atg18), then Htt103QP IBophagy was examined in these mutants as described above. Strikingly, all these mutants exhibited defective vacuolar localisation of Htt103QP-GFP after glucose addition, except for atg15Δ and atg18Δ ( and S4A, B, and C). Atg18 and Atg21 are homologous proteins that bind phosphoinositides for autophagy-related pathways [Citation43]. Thus, the presence of Atg21 might bypass the requirement of Atg18 for IBophagy. Atg15 is a lipase responsible for dissolution of autophagosome membrane inside the vacuole. In yeast cells lacking Atg15, defective autophagy is likely attributed to the failed degradation of components delivered into the vacuole [Citation44,Citation45].

We found that GFP intensity increased in the vacuole in atg15Δ cells over time after IB autophagy induction, but at a significantly delayed rate compared to WT cells. Additionally, more atg15Δ cells contained an IB compared to WT cells after autophagy induction, indicating impaired delivery of Htt103QP IBs into the vacuole in atg15Δ cells (Figure S4A, B, C). This result contrasts with the efficient autophagic delivery of cargos into the vacuole in atg15Δ cells seen in some studies [Citation46-48]. However, other studies showed defective autophagosome delivery to the vacuole in atg15Δ mutant cells [Citation49,Citation50], although it is unclear how Atg15 is involved in this vacuolar delivery. We also assessed the sensitivity of autophagy-deficient yeast mutants to Htt103QP expression. It appeared that atg8∆ cells tolerated Htt103QP overexpression on galactose plates similar to WT cells, but atg11∆ cells showed slightly slower growth on galactose plates (Figure S4D). Together, our results support the conclusion that all the core autophagy genes except ATG15 and ATG18 are essential for Htt103QP IBophagy.

Selective autophagy is responsible for Htt103QP IB clearance

The autophagy pathway can be selective or non-selective. In contrast to non-selective autophagy that randomly delivers cytoplasmic components into the lysosome/vacuole, selective autophagy utilises selective autophagy receptors (SARs) for the autophagic degradation of specific cellular components [Citation20]. For selective autophagy, scaffold protein Atg11 serves as the adaptor between SARs and the core autophagy-related protein Atg8 [Citation51-55]. In addition, Atg11 recruits core autophagy subcomplex Atg1/Atg13 to initiate autophagy as well as Atg9 vesicles to elongate autophagosome membrane [Citation56,Citation57]. In non-selective autophagy, Atg17 is counterpart of Atg11 for autophagy initiation and membrane elongation. Atg17 exists as part of the Atg17-Atg29-Atg31 complex, which is essential for starvation-induced non-selective autophagy [Citation58].

To determine whether Htt103QP IBophagy is selective, we analysed the IBophagy process in atg11Δ, atg17Δ, atg29Δ, and atg31Δ mutants using the protocol described above. We found that this IBophagy was defective in atg11Δ mutant cells as evidenced by the absence of vacuolar Htt103QP-GFP signal and the persistent presence of cytoplasmic IBs. In clear contrast, Htt103QP IBophagy was normal in atg29Δ and atg31Δ as evidenced by the appearance of Htt103QP-GFP inside the vacuole and the disappearance of Htt103QP IBs, but partially defective in atg17Δ cells ( and S5). The normal IBophagy in atg29Δ and atg31Δ cells indicates that Atg29 and Atg31 are dispensable for this process. The partial IBophagy defect in atg17Δ cells is consistent with the role of Atg17 in several types of selective autophagy, including piecemeal autophagy of the nucleus, mitophagy, and pexophagy [Citation59-61]. The role of Atg17 in selective autophagy could be attributed to its function in Atg9 trafficking [Citation62,Citation63], but atg17Δ cells retain weakened capacity for selective autophagy [Citation60]. Therefore, these results support the idea that Htt103QP IB clearance utilises the selective autophagy pathway.

Figure 2. Htt103QP IBophagy requires the selective autophagy machinery. a) Htt103QP IBophagy in WT and mutants lacking genes specific for selective or non-selective autophagy. The protocol used was the same as described in for the examination of IBophagy. Here, we show images of Htt103QP-GFP and the vacuole (Vph1-mApple) before and after IBophagy induction. Scale bar = 5 μm. b) IBophagy was quantified by measuring GFP fluorescence intensity inside the vacuole in 50 cells at each time point. Statistical significance was determined by *p < 0.05, using Tukey’s two-way ANOVA. c) IBophagy was also quantified by counting the percentage of cells with either an IB or diffuse vacuolar GFP signal (n > 100).

Figure 2. Htt103QP IBophagy requires the selective autophagy machinery. a) Htt103QP IBophagy in WT and mutants lacking genes specific for selective or non-selective autophagy. The protocol used was the same as described in Figure 1 for the examination of IBophagy. Here, we show images of Htt103QP-GFP and the vacuole (Vph1-mApple) before and after IBophagy induction. Scale bar = 5 μm. b) IBophagy was quantified by measuring GFP fluorescence intensity inside the vacuole in 50 cells at each time point. Statistical significance was determined by *p < 0.05, using Tukey’s two-way ANOVA. c) IBophagy was also quantified by counting the percentage of cells with either an IB or diffuse vacuolar GFP signal (n > 100).

The selective autophagy receptor (SAR) for aggrephagy, Cue5, is not required for Htt103QP IBophagy

In budding yeast, SAR Cue5 (Tollip in mammals) is required for the autophagic clearance of misfolded proteins, including mHtt. Cue5 binds to Atg8 and recognises ubiquitinated misfolded protein aggregates using its CUE (coupling of ubiquitin conjugation to ER degradation) domain, which allows engulfment of misfolded protein aggregates by the phagophore [Citation26]. Thus, Cue5 is believed to be the SAR for aggrephagy. We asked whether Cue5 was also involved in Htt103QP IBophagy. Utilising the IBophagy assay described above, we detected efficient delivery of Htt103QP-GFP into the vacuole as well as the disappearance of Htt103QP IBs in cue5Δ mutant cells, indicating that Cue5 is not required for Htt103QP IBophagy (). The different requirement of Cue5 in the autophagic clearance of mHtt proteins is likely due to different autophagy protocols used. Lu et al. utilised a PCUP1Htt-96Q construct to induce Htt-96Q expression from CUP1 promotor in yeast cells by adding CuSO4, but it was unclear if these yeast cells formed Htt-96Q IBs when the cells were collected for the autophagy assay [Citation26]. In our IBophagy assay, we induced IB formation by growing cells with PGALHtt103QP overnight in galactose media before glucose was added to induce IBophagy. The dispensable role of aggrephagy SAR Cue5 in Htt103QP IBophagy indicates that IBophagy is distinct from aggrephagy. Notably, Cue5 is the only known yeast SAR that does not bind to Atg11 during autophagy initiation [Citation20], but we demonstrated the essential role of Atg11 in Htt103QP IBophagy (), which further supports the notion that IBophagy is different from aggrephagy.

Figure 3. Yeast aggrephagy SAR Cue5 is not required for Htt103QP IBophagy. a) IBophagy proceeds normally in cue5Δ cells. The IBophagy protocol was the same as described. Here, we show the localisation of Htt103QP-GFP and the vacuole (Vph1-mApple) before and after IBophagy induction. Scale bar = 5 μm. b) IBophagy was quantified by measuring GFP fluorescence intensity in 50 cells inside the vacuole over time. Statistical significance was determined by *p < 0.05, using Sidak’s two-way ANOVA. c) IBophagy was also quantified by counting the percentage of cells that contained either an IB or vacuolar GFP signal (n > 100).

Figure 3. Yeast aggrephagy SAR Cue5 is not required for Htt103QP IBophagy. a) IBophagy proceeds normally in cue5Δ cells. The IBophagy protocol was the same as described. Here, we show the localisation of Htt103QP-GFP and the vacuole (Vph1-mApple) before and after IBophagy induction. Scale bar = 5 μm. b) IBophagy was quantified by measuring GFP fluorescence intensity in 50 cells inside the vacuole over time. Statistical significance was determined by *p < 0.05, using Sidak’s two-way ANOVA. c) IBophagy was also quantified by counting the percentage of cells that contained either an IB or vacuolar GFP signal (n > 100).

Selective autophagy of Htt103QP IBs depends on certain SARs

Because IBophagy is selective, SARs should be required for this process. We used our IBophagy protocol to screen the known SAR mutants and found that Atg36, Atg39, and Atg40 were required for Htt103QP IBophagy. In the mutant cells lacking these SARs, Htt103QP IBs persisted in the cytosol and their vacuolar delivery was blocked after IBophagy induction (). Atg36 is the SAR for pexophagy [Citation52]; Atg40 is for ER-phagy [Citation54,Citation64]; while Atg39 is required for both ER-phagy and nucleophagy [Citation54]. Because ER membrane and endomembrane are abundant in the periphery of mHtt IBs [Citation14,Citation16], one explanation is that mHtt IBs hijack these SARs through IB-associated membrane fragments, which facilitates IBophagy.

Figure 4. Htt103QP IBophagy shares SARs with other types of selective autophagy. a) Defective Htt103QP IBophagy was detected in SAR mutants atg36Δ, atg39Δ, atg40Δ, and atg19Δ. The IBophagy protocol described above was used to examine IBophagy in WT and SAR mutants. The localisation of Htt103QP-GFP and Vph1-mApple (vacuole) in WT, atg36Δ, atg39Δ, atg40Δ, and atg19Δ cells before and after IBophagy induction is shown. Scale bar = 5 μm. b) Quantification of IBophagy in WT and SAR mutants was done by measuring GFP fluorescence intensity inside the vacuole in 50 cells at each time point. Statistical significance was determined by *p < 0.05, using Tukey’s two-way ANOVA. c) The percentage of cells that contained either an IB or vacuolar GFP signal in WT and SAR mutants over time. d) The requirement of non-core autophagy-related genes for IBophagy. * marks different types of SARs.

Figure 4. Htt103QP IBophagy shares SARs with other types of selective autophagy. a) Defective Htt103QP IBophagy was detected in SAR mutants atg36Δ, atg39Δ, atg40Δ, and atg19Δ. The IBophagy protocol described above was used to examine IBophagy in WT and SAR mutants. The localisation of Htt103QP-GFP and Vph1-mApple (vacuole) in WT, atg36Δ, atg39Δ, atg40Δ, and atg19Δ cells before and after IBophagy induction is shown. Scale bar = 5 μm. b) Quantification of IBophagy in WT and SAR mutants was done by measuring GFP fluorescence intensity inside the vacuole in 50 cells at each time point. Statistical significance was determined by *p < 0.05, using Tukey’s two-way ANOVA. c) The percentage of cells that contained either an IB or vacuolar GFP signal in WT and SAR mutants over time. d) The requirement of non-core autophagy-related genes for IBophagy. * marks different types of SARs.

Atg32 is the mitophagy receptor [Citation65], and the surface of mHtt IBs is also enriched in mitochondria [Citation16], but we found that Atg32 was dispensable for Htt103QP IBophagy (Figure S6). Recently, Ubx5 has been shown to be the SAR for excess or damaged Cdc48 complexes [Citation66]. Moreover, the Cdc48 segregase is required to alleviate the cytotoxicity of mHtt aggregates by promoting their segregation and the subsequent proteasomal degradation [Citation2]. However, we observed normal Htt103QP IBophagy in ubx5Δ mutant cells (Figure S7), indicating that Ubx5 is dispensable for IBophagy.

The cytoplasm-to-vacuole targeting (Cvt) pathway is a selective autophagy that specifically transports hydrolases to the vacuole in yeast cells, and Atg19 is the cargo receptor for this pathway [Citation55]. Using the IBophagy protocol described above, we observed a partial IBophagy defect in atg19Δ mutant cells. This was evidenced by the compromised increase of Htt103QP-GFP signal inside the vacuole as well as delayed disappearance of IBs in atg19Δ cells compared to WT cells (). In addition to SAR Atg19, a group of genes is required for the Cvt pathway but not for starvation-induced bulk autophagy. We further examined Htt103QP IBophagy in these mutant cells. Our results showed that Atg21, Atg23, Atg24, Atg27, and Atg38, but not Atg20, Atg22, Atg33, and Atg34, were essential for the vacuolar delivery of Htt103QP IBs (, S8). Therefore, the core autophagy-related genes and some nonessential autophagy-related genes are required for Htt103QP IBophagy, revealing a new pathway specific for the autophagic clearance of IBs.

The colocalization of IBophagy SARs with Htt103QP IBs

If an SAR is essential for IBophagy, we expect its colocalization with IBs. Therefore, we constructed strains expressing Htt103QP-mApple as well as GFP-tagged Atg36, Atg39, or Atg40. In addition, these strains contain snf7Δ to prevent autophagosome-vacuole fusion [Citation67,Citation68], which allows us to visualise SAR localisation in the absence of autophagosome clearance. After induction of Htt103QP-mApple expression by growing the cells in galactose medium for 16 hours at 30°C, we found that majority of Htt103QP IBs showed colocalization with these three SARs (), although the relative intensity of these three SARs varied. The plot of intensity along a line crossing Htt103QP IBs further validates the colocalization of these SARs with IBs (, right) Additionally, all three SARs colocalize with IBs at approximately the same level. This observation supports the notion that Atg36, Atg39, and Atg40 SARs are present in Htt103QP IBs, which is consistent with their role in IBophagy.

Figure 5. The SARs essential for IBophagy colocalize with Htt103QP IBs. a) The colocalization of SARs Atg36, Atg39, and Atg40 with Htt103QP IBs. The SARs were tagged with GFP and their colocalization with Htt103QP-mApple IBs was examined after growth at 30°C in galactose media for 16 hours. The strains used in this experiment contain snf7Δ, which prevents autophagosome-vacuole fusion. Here, we show the images for SAR colocalization with Htt103QP IBs (arrows). To analyse the colocalization, a straight white line was drawn through the Htt103QP-mApple. Then SAR-GFP signals and the fluorescence intensity (AU) along the line was plotted using ImageJ (right). Scale bar = 5 μm. b) The interaction of SARs with Htt103QP IBs as shown by Co-IP. SARs were tagged with 13Myc in strains with and without PGALFLAG-Htt103QP-GFP, and all strains were grown to log phase in raffinose media before galactose addition for two hours to induce Htt103QP expression. SAR enrichment was found in the IP fractions from cells with FLAG-Htt103QP induction after pulldown with anti-FLAG beads, indicating SAR interaction with Htt103QP aggregates. c) The association of SARs with Htt103QP IBs using filter-trap assay. SARs were tagged with 13Myc in strains with and without PGALFLAG-Htt103QP-GFP, and all strains were grown in galactose media for 16 hours to induce Htt103QP IB formation. Cell lysates were prepared and filtered through a nitrocellulose membrane using a filter-trap apparatus. Anti-FLAG and anti-Myc antibodies were used to detect the Htt103QP and SARs trapped in the membrane. Quantification of the blot was done by measuring signal intensity in each dot. The ratio of trapped SARs over the total SARs was analysed after three repeats. Statistical analysis was determined by *p < 0.05, using Tukey’s two-way ANOVA.

Figure 5. The SARs essential for IBophagy colocalize with Htt103QP IBs. a) The colocalization of SARs Atg36, Atg39, and Atg40 with Htt103QP IBs. The SARs were tagged with GFP and their colocalization with Htt103QP-mApple IBs was examined after growth at 30°C in galactose media for 16 hours. The strains used in this experiment contain snf7Δ, which prevents autophagosome-vacuole fusion. Here, we show the images for SAR colocalization with Htt103QP IBs (arrows). To analyse the colocalization, a straight white line was drawn through the Htt103QP-mApple. Then SAR-GFP signals and the fluorescence intensity (AU) along the line was plotted using ImageJ (right). Scale bar = 5 μm. b) The interaction of SARs with Htt103QP IBs as shown by Co-IP. SARs were tagged with 13Myc in strains with and without PGALFLAG-Htt103QP-GFP, and all strains were grown to log phase in raffinose media before galactose addition for two hours to induce Htt103QP expression. SAR enrichment was found in the IP fractions from cells with FLAG-Htt103QP induction after pulldown with anti-FLAG beads, indicating SAR interaction with Htt103QP aggregates. c) The association of SARs with Htt103QP IBs using filter-trap assay. SARs were tagged with 13Myc in strains with and without PGALFLAG-Htt103QP-GFP, and all strains were grown in galactose media for 16 hours to induce Htt103QP IB formation. Cell lysates were prepared and filtered through a nitrocellulose membrane using a filter-trap apparatus. Anti-FLAG and anti-Myc antibodies were used to detect the Htt103QP and SARs trapped in the membrane. Quantification of the blot was done by measuring signal intensity in each dot. The ratio of trapped SARs over the total SARs was analysed after three repeats. Statistical analysis was determined by *p < 0.05, using Tukey’s two-way ANOVA.

We further used co-immunoprecipitation (IP) approach to examine the association of these SARs with Htt103QP. Because Htt103QP IBs are pelleted after centrifugation, we were unable to analyse SAR-IB association using co-IP method. To overcome this problem, we first grew yeast cells with SAR(ATG36/39/40)-13Myc or SAR-13Myc PGALFLAG-Htt103QP-GFP in raffinose medium and then added galactose to induce FLAG-Htt103QP-GFP expression for 2 hours when no IB formation was detected. Cells were harvested to prepare cell lysates and we examined Htt103QP-SAR interaction using a co-IP method with anti-FLAG antibody beads. Both Atg36 and Atg39 were detected in the IPed fractions from cells expressing FLAG-Htt103QP SAR-13myc, but not from samples expressing only SAR-13Myc (). In contrast, Atg40 was detected in the IPed fractions from cells with or without FLAG-Htt103QP expression, but a clear enrichment was observed in the sample expressing FLAG-Htt103QP (). These results suggest that Atg36/39/40 interact with Htt103QP, but further experiments are needed to clarify if Htt103QP monomers or aggregates interact with these SARs.

We further used a filter-trap assay to analyse the association of SARs with Htt103QP IBs, because this assay detects large, SDS-insoluble aggregates by filtration through a nitrocellulose membrane [Citation69]. SAR(ATG36/39/40)-Myc13 and SAR-Myc13 PGALFLAG-Htt103QP-GFP cells were grown in galactose medium for 16 hours to induce Htt103QP IB formation, and the cell lysates were prepared and subjected to the filter-trap assay. The membranes were then probed with anti-Myc and anti-FLAG antibodies. After normalisation with SAR expression using regular Western blotting with anti-Myc antibodies, we found the significant enrichment of Atg36/39/40 in the filter-trap assay spots of cell lysates with Htt103QP expression (). Together, these results suggest the association of Atg36/39/40 SARs with Htt103QP aggregates/IBs, further supporting the role of these SARs in Htt103QP IBophagy.

The role of SAR cofactors in Htt103QP IBophagy

Some SARs have cofactors to facilitate their subcellular localisation and function. The Atg36 cofactor Pex3 is a peroxisome membrane protein that recruits Atg36 to the peroxisome after its formation, which facilitates pexophagy [Citation52,Citation70]. Lnp1 is an ER membrane protein, which stabilises ER network rearrangements and recruits Atg40 to the autophagy machinery for ER-phagy [Citation71]. To test whether these cofactors are also required for Htt103QP IBophagy, we subjected lnp1Δ and pex3Δ mutant cells to our IBophagy assay. We found abolished Htt103QP IB delivery to the vacuole in lnp1Δ cells, but pex3Δ cells showed efficient delivery (). Quantitative analysis exhibited increased vacuolar GFP intensity and decreased IBs in pex3Δ cells after IBophagy induction, but not in lnp1Δ cells (), indicating that Lnp1, but not Pex3, is required for Htt103QP IBophagy. We further examined Atg40-IB colocalization in lnp1Δ cells, and we observed abolished colocalization, which is consistent with the essential role of Lnp1 in IBophagy (). Therefore, our results have identified three SARs as well as a cofactor Lnp1 required for IBophagy.

Figure 6. SAR cofactors and Htt103QP IBophagy. a) Htt103QP IBophagy in the absence of Atg40 cofactor (lnp1Δ) and Atg36 cofactor (pex3Δ). The same IBophagy protocol was used for this experiment. Here, we show the localisation of Htt103QP and the vacuole (Vph1-mApple) before and after IBophagy induction. Scale bar = 5 μm. b) IBophagy was quantified by measuring GFP fluorescence intensity inside the vacuole in 50 cells at each time point. Statistical significance was determined by *p < 0.05, using Tukey’s two-way ANOVA. c) Htt103QP IBophagy was also quantified by counting the percentage of cells that contained either an IB or diffuse vacuolar GFP signal (n > 100). d) The colocalization of Atg40 with Htt103QP IBs in the absence of Atg40 cofactor Lnp1. The localisation of Htt103QP-mApple and Atg40-GFP in WT and lnp1∆ cells (30°C) was examined as described above. The representative images and the percentage of IBs with Atg40 colocalization are shown. Statistical significance was determined by *p < 0.05, using an unpaired t-test.

Figure 6. SAR cofactors and Htt103QP IBophagy. a) Htt103QP IBophagy in the absence of Atg40 cofactor (lnp1Δ) and Atg36 cofactor (pex3Δ). The same IBophagy protocol was used for this experiment. Here, we show the localisation of Htt103QP and the vacuole (Vph1-mApple) before and after IBophagy induction. Scale bar = 5 μm. b) IBophagy was quantified by measuring GFP fluorescence intensity inside the vacuole in 50 cells at each time point. Statistical significance was determined by *p < 0.05, using Tukey’s two-way ANOVA. c) Htt103QP IBophagy was also quantified by counting the percentage of cells that contained either an IB or diffuse vacuolar GFP signal (n > 100). d) The colocalization of Atg40 with Htt103QP IBs in the absence of Atg40 cofactor Lnp1. The localisation of Htt103QP-mApple and Atg40-GFP in WT and lnp1∆ cells (30°C) was examined as described above. The representative images and the percentage of IBs with Atg40 colocalization are shown. Statistical significance was determined by *p < 0.05, using an unpaired t-test.

Inclusion bodies formed by Alzheimer’s disease-associated protein Aβ42 are also cleared by selective autophagy

In addition to mutated Htt proteins, other neurodegenerative disease-associated proteins, such as Aβ42 and α-synuclein, also form IBs in yeast cells [Citation28,Citation30,Citation32,Citation72]. We first confirmed IB formation in yeast cells expressing these proteins tagged with GFP from a galactose-inducible promoter. Then we analysed their IBophagy after glucose addition as described for Htt103QP IBophagy. Interestingly, vacuole GFP enrichment was detected in yeast cells expressing Aβ42-GFP, but not α-synuclein-GFP ( and S9). The vacuolar delivery of Aβ42-GFP was blocked in the absence of the core autophagy gene ATG8, indicating that this delivery depends on autophagy. Deletion of selective autophagy gene ATG11, but not the starvation specific autophagy-related gene ATG29, also blocked vacuolar delivery of Aβ42-GFP, indicating that Aβ42 IBophagy is selective (). We further analysed the requirement of SARs for Aβ42 IBophagy. Similar to Htt103QP IBophagy, the absence of Atg36/39/40, but not the aggrephagy receptor Cue5, blocked Aβ42 IBophagy (), further indicating that IBophagy is different from aggrephagy. We noticed a slight accumulation of Aβ42-GFP signal in cells lacking Atg8, Atg36, Atg39, and Atg40 after glucose addition (), which might be attributed to an autophagy-independent mechanism. Together, these results support the conclusion that IBs formed by Aβ42 and mutated Htt proteins share a similar pathway for their autophagic clearance.

Figure 7. IBophagy in yeast cells expressing Aβ42. a) Aβ42 IBophagy in WT and representative autophagy mutants. The protocol used was the same as described in for the examination of Htt103QP IBophagy. Here, we show images of Aβ42-GFP and the vacuole (Vph1-mApple) before and after IBophagy induction. Scale bar = 5 μm. b) IBophagy was also quantified by measuring GFP fluorescence intensity inside the vacuole in 50 cells at each time point. Statistical significance was determined by *p < 0.05, using Tukey’s two-way ANOVA. c) IBophagy was quantified by counting the percentage of cells with either an IB or diffuse vacuolar GFP signal (n > 100).

Figure 7. IBophagy in yeast cells expressing Aβ42. a) Aβ42 IBophagy in WT and representative autophagy mutants. The protocol used was the same as described in Figure 1 for the examination of Htt103QP IBophagy. Here, we show images of Aβ42-GFP and the vacuole (Vph1-mApple) before and after IBophagy induction. Scale bar = 5 μm. b) IBophagy was also quantified by measuring GFP fluorescence intensity inside the vacuole in 50 cells at each time point. Statistical significance was determined by *p < 0.05, using Tukey’s two-way ANOVA. c) IBophagy was quantified by counting the percentage of cells with either an IB or diffuse vacuolar GFP signal (n > 100).

Discussion

Autophagy plays a key role in the clearance of misfolded proteins. Misfolded proteins are prone to aggregation, and constant expression of misfolded proteins leads to IB formation. It is well established that aggrephagy selectively clears misfolded protein aggregates [Citation73,Citation74]. Despite our previous studies that implicate autophagy in the clearance of mHtt IBs [Citation34,Citation35], the full scope of IBophagy pathway remains obscure. In this study, by using the protocol that induces autophagic clearance of Htt103QP IBs in budding yeast, we demonstrated that almost all the core autophagy-related genes were essential for this autophagy. We further presented evidence indicating that autophagic clearance of Htt103QP IBs is selective. In addition, we identified several IBophagy SARs, including Atg36, Atg39, and Atg40. Importantly, a similar pathway is required for the autophagic clearance of IBs formed by the Alzheimer’s disease-associated protein Aβ42 in yeast cells. Therefore, our data uncover a new type of autophagy, IBophagy, which is specific for IBs.

Autophagy can be selective or non-selective. Selective autophagy utilises a scaffold protein Atg11 to bridge SAR-associated cargos to the core autophagy machinery for autophagosome formation [Citation20]. We found that Atg11 is required for IBophagy, indicating that IBophagy is selective. Interestingly, deletion of Atg17, the counterpart of Atg11 for non-selective autophagy, resulted in a partial IBophagy defect. Atg17 works in a complex with Atg29 and Atg31 for starvation-induced non-selective autophagy [Citation75], while Atg29 and Atg31 are dispensable for IBophagy. The additional function of both Atg11 and Atg17 in autophagy is the recruitment of Atg9 lipid vesicles to the pre-autophagosomal site for membrane elongation [Citation56]. Therefore, the partial IBophagy defect seen in atg17Δ cells could be due to compromised Atg9 vesicle recruitment. In contrast, the Atg29-Atg31 subcomplex inhibits Atg17-dependent Atg9 vesicle recruitment to the autophagosome [Citation56,Citation63,Citation75], which could explain the different requirement of Atg17, Atg29, and Atg31 in IBophagy. Together, these results support the notion that Htt103QP IBophagy is selective.

Because SARs mediate the delivery of specific cargos to the autophagy machinery, we also determined which SARs are required for IBophagy. Previous studies have shown that SAR Cue5/Tollip is implicated in autophagic clearance of misfolded proteins, including mHtt aggregates [Citation26]. Thus, Cue5 is believed to the SAR for aggrephagy. Among the SARs in yeast, Cue5 is the only one that lacks the interaction with Atg11. Consistently, we showed that Atg11, but not Cue5, is required for mHtt IBophagy [Citation20]. Therefore, Cue5 is responsible for aggrephagy that clears misfolded protein aggregates, but not for IBophagy.

From the known yeast SARs, we found Atg36 (pexophagy), Atg39 (nucleophagy/ER-phagy), and Atg40 (ER-phagy) were essential for Htt103QP/Aβ42 IBophagy. Furthermore, Lnp1, an Atg40 cofactor, is required for both ER-phagy and IBophagy. In addition, the Cvt SAR Atg19 is partially required for IBophagy. One thing in common for these SARs is their membrane localisation. Therefore, our speculation is that IBs hijack these membrane-localised SARs for IBophagy. Indeed, cryo-electron tomography has revealed that the surface of mHtt IBs is enriched with ER membrane, endomembrane, and vesicles [Citation16]. We further confirmed that Atg36, Atg39, and Atg40 strongly colocalize and associate with Htt103QP IBs/aggregates. However, it is unclear why mitophagy SAR Atg32 is dispensable for IBophagy, although mitochondria also localise at the mHtt IB periphery [Citation16]. If IBs hijack membrane-localised SARs for IBophagy, it is easy to understand many SARs are required for IBophagy, but more work is needed to clarify why deletion of one of these SARs is sufficient to block IBophagy.

The autophagy pathway is highly conserved from yeast to humans. One open question is whether IBophagy is conserved in human cells. Deletion of core autophagy genes leads to accumulation of polyubiquitinated inclusions/aggregates in mouse neurons [Citation21,Citation22]. Moreover, selective SARs p62, OPTN, and ALFY localise at mHtt aggregates, likely facilitating their autophagic clearance [Citation23-25], but it remains to be determined if these SARs are required for aggrephagy or IBophagy. Our findings suggest that IBophagy requires SARs Atg36, Atg39, and Atg40 in budding yeast. In mammalian cells, NBR1 and P62 act as the SARs for pexophagy [Citation76,Citation77]. For ER-phagy, six receptors, AM134B, RTN3, SEC62, CCPG1, TEX264, and ATL3, have been identified [Citation54,Citation64]. Therefore, further study is needed to analyse if IBophagy occurs in mammalian cells and which SARs play a role in IBophagy.

Materials and methods

Strains, plasmids, and growth conditions

Yeast strains used in this study are in W303 background unless otherwise noted. The genotypes of the yeast strains used in this study are listed in Table S1. GFP-tagging of SARs was performed using a PCR-based method [Citation78]. Primers are listed in Table S2. The FLAG- and GFP-tagged Htt103QP fragment with a galactose-inducible promoter (PGALFlag-Htt103QP-GFP) was originally from the Lindquist lab [Citation41]. The strain containing GFP-tagged ATG36 was originally from the Nakatogawa lab [Citation79]. Some strains were constructed utilising the PMFA1-HIS3 selection method. In this method, the MATα parent strain contains a PMFA1-HIS3 reporter, and is crossed with a MATa query strain. This allows for selection of MATa haploid cells after mating and meiosis, as PMFA1-HIS3 is only expressed in MATa cells. The resulting MATa cells are then selected for the desired markers [Citation80,Citation81]. Yeast extract/peptone media supplied with glucose or galactose was used for the growth of yeast strains.

Detailed protocol for IBophagy induction

For the IBophagy assay, we first grew yeast cells containing VPH1-mApple pep4∆ PGAL-FLAG-Htt103QP-GFP in YPD (yeast extract-peptone-dextrose) to saturation. Cells were then diluted into galactose media (yeast extract, peptone, galactose) at 1:1000 and incubated for 16 hours at 30°C to induce Htt103QP IB formation. Glucose was then added to 2% to suppress Htt103QP expression, which induces IBophagy. In addition to glucose, we also added 200 mM hydroxyurea to block the cell cycle in S-phase, which eliminates the potential effect of cell division on the percentage of cells with IB or vacuolar GFP. Cells were collected before glucose addition (time 0). After glucose addition, we collected samples every hour for six hours. The collected cells were washed with water, resuspended in 1× PBS, and then immediately subjected to fluorescence imaging.

The YIp351 (pRS304-PGALα-synuclein-GFP) plasmid was obtained from the Franco lab. We first linearised the plasmid with MfeI enzyme in the TRP1 gene, then the plasmid was inserted into the yeast genome after transformation and the subsequent selection on TRP dropout plates. We obtained the Aβ42 plasmid p1771 (pRS416-PGALAβ42-GFP) from the Liebman lab. The PGALAβ42-GFP fragment was subcloned into an integrating plasmid pRS406 with restriction enzymes SacI and KpnI. The resulting plasmid was linearised with XcmI within the URA3 gene and integrated into the yeast genome by transformation and the subsequent selection on URA dropout plates. The resulting strains were used to examine the autophagy of Aβ42-GFP and α-synuclein-GFP IBs as described for Htt103QP IBophagy.

Fluorescence imaging and analysis

The analysis of Htt103QP IB formation and autophagic clearance was carried out using a fluorescence microscope (Keyence BZ-X700; Keyence of America, Itasca, IL). Fluorescence signals from the prepared cells were examined under the fluorescence microscope with a 60× objective. Images were taken with appropriate channels for mApple and GFP and z-stacks were taken with a pitch of 0.2 μm. BZ-X700 software was used to create composites by merging the stacked images. Vacuolar GFP intensity was measured in 50 cells per time point using ImageJ. A circle with an area of 4 square pixels was selected inside the vacuole and the average GFP fluorescence intensity inside the area was measured and recorded.

Western blotting

Protein samples were prepared using an alkaline method and resolved by 10% SDS–PAGE. Anti-FLAG antibody was purchased from Sigma-Aldrich (St. Louis, MO); anti-Myc antibody was from BioLegend (San Diego, CA); anti-Pgk1 antibody was from Invitrogen (Waltham, MA). The horseradish peroxidase–conjugated goat anti-mouse IgG secondary antibody was from Cell Signalling Technology (Danvers, MA).

Co-immunoprecipitation assay

Cell cultures were grown in raffinose media at 30°C for 16 hours to log phase before treatment with galactose for two hours to induce Htt103QP expression. After being resuspended in RIPA buffer (25 mM Tris, pH 7.5, 10 mM EDTA, 150 mM NaCl, and 0.05% Tween-20) supplied with protease inhibitors, cells were broken with a bead beater. Input sample was collected, and the remaining cell extracts were then incubated with anti-FLAG beads (Sigma-Aldrich; St. Louis, MO) for 2 hours at 4°C. After incubation, the beads were collected by centrifugation and washed three times with RIPA buffer supplied with protease inhibitors. After removal of RIPA buffer, protein loading buffer was added, and the protein samples were boiled twice for 5 min for Western blotting.

Filter-trap assay

To prepare the samples for the filter-trap assay, we grew yeast cells in galactose media at 30°C for 16 hours to induce Htt103QP IB formation. Cells were collected and washed with wash buffer (10 mM Tris-HCl pH 8.0, 150 mM NaCl, 0.1% SDS) supplied with protease inhibitors. Then, the cells were resuspended in 100 μL of sample buffer (10 mM Tris-HCl pH 8.0, 150 mM NaCl, 2% SDS) supplied with protease inhibitors, and 100 μL of glass beads (0.5 mm) was added. Cells were bead-beaten three times for 20 seconds with one-minute incubations on ice between sessions. Cell debris was cleared by centrifuging at 300 g for one minute. Supernatants were collected and 5 μL of 1 M DTT was added. The samples were then boiled for 5 minutes. The filter-trap apparatus (Bio-Dot Apparatus; Bio-Rad, Hercules, CA) was assembled with presoaked filter paper and 0.45 μm nitrocellulose membrane. Wells were washed three times with 100 μL of wash buffer. Samples were then loaded and filtered through the nitrocellulose membrane using a vacuum. Used wells were then washed three times with 100 μL of wash buffer. The membranes were probed with anti-Myc (BioLegend; San Diego, CA) or anti-FLAG (Sigma-Aldrich; St. Louis, MO) antibodies before adding anti-mouse secondary antibody (Cell Signalling Technology; Danvers, MA). In the case of ATG40-13Myc and ATG40-13Myc PGAL-FLAG-Htt103QP-GFP strains, samples were diluted at 1:10 into 2% SDS because of the high protein levels of Atg40 in yeast cells.

Statistical analysis

Experimental data are expressed as mean ± standard error of the mean (SEM). The fluorescence intensity average at each timepoint was determined by measuring vacuolar GFP intensity using ImageJ in 50 cells for each yeast strain. We then performed statistical analyses using GraphPad software. One-way or two-way ANOVAs were used to determine p-values. The exact test is indicated in the figure legends. Statistical significance was determined when p < 0.05 (*) and is denoted as such.

Supplemental material

Supplemental Material

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Acknowledgments

We are grateful to the yeast community at Florida State University for reagents and helpful suggestions. We thank Dr. Hitoshi Nakatogawa lab for providing ATG36-GFP yeast strain. We thank Dr. Susan Liebman for providing the PGAL-Aβ42-GFP plasmid, and Dr. Rodrigo Franco for providing the PGAL-α-synuclein-GFP plasmid. We thank Emily Gutierrez-Morton for proofreading this manuscript.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/27694127.2023.2236407

Additional information

Funding

This work was supported by the Office of Extramural Research, National Institute of Health (R01GM121786; Office of Extramural Research, National Institutes of Health

References

  • Davies SW, Turmaine M, Cozens BA, et al. Formation of neuronal intranuclear inclusions underlies the neurological dysfunction in mice transgenic for the HD mutation. Cell. 1997;90(3):537–26.
  • Higgins R, Kabbaj MH, Sherwin D, et al. The Cdc48 complex alleviates the cytotoxicity of misfolded proteins by regulating ubiquitin homeostasis. Cell Rep. 2020;32(2):107898. Epub 2020/07/16. PubMed PMID: 32668237; PubMed Central PMCID: PMCPMC7392062.
  • Kim YE, Hosp F, Frottin F, et al. Soluble oligomers of PolyQ-expanded huntingtin target a multiplicity of key cellular factors. Mol Cell. 2016;63(6):951–964. Epub 2016/08/30. PubMed PMID: 27570076.
  • Folger A, Wang Y. The cytotoxicity and clearance of mutant huntingtin and other misfolded proteins. Cells. 2021;10:2835. Epub 2021/11/28. PubMed PMID: 34831058; PubMed Central PMCID: PMCPMC8616338. doi: 10.3390/cells10112835.
  • Ross CA, Poirier MA. Protein aggregation and neurodegenerative disease. Nat Med. 2004;10:S10–S17. Epub 2004/07/24. PubMed PMID: 15272267. doi: 10.1038/nm1066.
  • Carra S, Seguin SJ, Landry J. HspB8 and Bag3: a new chaperone complex targeting misfolded proteins to macroautophagy. Autophagy. 2008;4:237–239. Epub 2007/12/21. PubMed PMID: 18094623. doi: 10.4161/auto.5407.
  • Lu K, den Brave F, Jentsch S. Receptor oligomerization guides pathway choice between proteasomal and autophagic degradation. Nat Cell Biol. 2017;19(6):732–739. PubMed PMID: 28504708
  • Demand J, Alberti S, Patterson C, et al. Cooperation of a ubiquitin domain protein and an E3 ubiquitin ligase during chaperone/proteasome coupling. Curr Biol. 2001;11(20):1569–1577. PubMed PMID: 11676916
  • McColgan P, Tabrizi SJ. Huntington’s disease: a clinical review. Eur J Neurol. 2018;25:24–34. Epub 2017/08/18. PubMed PMID: 28817209. doi: 10.1111/ene.13413.
  • Ross CA, Tabrizi SJ. Huntington’s disease: from molecular pathogenesis to clinical treatment. Lancet Neurol. 2011;10:83–98. Epub 2010/12/18. PubMed PMID: 21163446. doi: 10.1016/S1474-4422(10)70245-3.
  • Sathasivam K, Neueder A, Gipson TA, et al. Aberrant splicing of HTT generates the pathogenic exon 1 protein in Huntington disease. Proc Natl Acad Sci U S A. 2013;110(6):2366–2370. Epub 2013/01/24. PubMed PMID: 23341618; PubMed Central PMCID: PMCPMC3568346.
  • Mangiarini L, Sathasivam K, Seller M, et al. Exon 1 of the HD gene with an expanded CAG repeat is sufficient to cause a progressive neurological phenotype in transgenic mice. Cell. 1996;87(3):493–506.
  • Peskett TR, Rau F, O’Driscoll J, et al. A liquid to solid phase transition underlying pathological huntingtin exon1 aggregation. Mol Cell. 2018;70:588–601 e6. Epub 2018/05/15. PubMed PMID: 29754822; PubMed Central PMCID: PMCPMC5971205. doi: 10.1016/j.molcel.2018.04.007.
  • Bauerlein FJB, Saha I, Mishra A, et al. In situ architecture and cellular interactions of polyQ inclusions. Cell. 2017;171(1):179–87 e10.
  • Gruber A, Hornburg D, Antonin M, et al. Molecular and structural architecture of polyQ aggregates in yeast. Proc Natl Acad Sci U S A. 2018;115(15):E3446–E53. Epub 2018/03/28. PubMed PMID: 29581260; PubMed Central PMCID: PMCPMC5899447.
  • Riguet N, Mahul-Mellier AL, Maharjan N, et al. Nuclear and cytoplasmic huntingtin inclusions exhibit distinct biochemical composition, interactome and ultrastructural properties. Nat Commun. 2021;12(1):6579. Epub 2021/11/14. PubMed PMID: 34772920; PubMed Central PMCID: PMCPMC8589980 neurodegenerative diseases, including from Merck Serono, UCB, and Abbvie. These companies had no specific role in the conceptualization, preparation, and decision to publish this work. H.A.L is also the co-founder and Chief Scientific Officer of ND BioSciences SA, a company that develops diagnostics and treatments for neurodegenerative diseases based on platforms that reproduce the complexity and diversity of proteins implicated in neurodegenerative diseases and their pathologies. All other authors declare no competing interests.
  • Leitman J, Ulrich Hartl F, Lederkremer GZ. Soluble forms of polyQ-expanded huntingtin rather than large aggregates cause endoplasmic reticulum stress. Nat Commun. 2013;4:2753. Epub 2013/11/13. PubMed PMID: 24217578. doi: 10.1038/ncomms3753.
  • Nakatogawa H, Suzuki K, Kamada Y, et al. Dynamics and diversity in autophagy mechanisms: lessons from yeast. Nat Rev Mol Cell Biol. 2009;10:458–467. Epub 2009/06/06. PubMed PMID: 19491929. doi: 10.1038/nrm2708.
  • Wen X, Klionsky DJ. An overview of macroautophagy in yeast. J Mol Biol. 2016;428:1681–1699. Epub 2016/02/26. PubMed PMID: 26908221; PubMed Central PMCID: PMCPMC4846508. doi: 10.1016/j.jmb.2016.02.021.
  • Farre JC, Subramani S. Mechanistic insights into selective autophagy pathways: lessons from yeast. Nat Rev Mol Cell Biol. 2016;17(9):537–552. PubMed PMID: 27381245
  • Hara T, Nakamura K, Matsui M, et al. Suppression of basal autophagy in neural cells causes neurodegenerative disease in mice. Nature. 2006;441(7095):885–889. Epub 2006/04/21. PubMed PMID: 16625204.
  • Komatsu M, Waguri S, Chiba T, et al. Loss of autophagy in the central nervous system causes neurodegeneration in mice. Nature. 2006;441(7095):880–884. Epub 2006/04/21. PubMed PMID: 16625205.
  • Shen WC, Li HY, Chen GC, et al. Mutations in the ubiquitin-binding domain of OPTN/optineurin interfere with autophagy-mediated degradation of misfolded proteins by a dominant-negative mechanism. Autophagy. 2015;11:685–700. Epub 2014/12/09. PubMed PMID: 25484089; PubMed Central PMCID: PMCPMC4502753. doi: 10.4161/auto.36098.
  • Filimonenko M, Isakson P, Finley KD, et al. The selective macroautophagic degradation of aggregated proteins requires the PI3P-binding protein Alfy. Mol Cell. 2010;38(2):265–279. Epub 2010/04/27. PubMed PMID: 20417604; PubMed Central PMCID: PMCPMC2867245.
  • Park H, Kang JH, Lee S. Autophagy in neurodegenerative diseases: a hunter for aggregates. Int J Mol Sci. 2020;21(9): Epub 2020/05/14. PubMed PMID: 32397599; PubMed Central PMCID: PMCPMC7247013. doi: 10.3390/ijms21093369.
  • Lu K, Psakhye I, Jentsch S. Autophagic clearance of polyQ proteins mediated by ubiquitin-Atg8 adaptors of the conserved CUET protein family. Cell. 2014;158:549–563. Epub 2014/07/22. PubMed PMID: 25042851. doi: 10.1016/j.cell.2014.05.048.
  • LaFerla FM, Green KN, Oddo S. Intracellular amyloid-beta in Alzheimer’s disease. Nat Rev Neurosci. 2007;8:499–509. Epub 2007/06/07. PubMed PMID: 17551515. doi: 10.1038/nrn2168.
  • Villar-Pique A, Ventura S. Protein aggregation propensity is a crucial determinant of intracellular inclusion formation and quality control degradation. Biochim Biophys Acta. 2013;1833:2714–2724. Epub 2013/07/17. PubMed PMID: 23856334. doi: 10.1016/j.bbamcr.2013.06.023.
  • Ring J, Tadic J, Ristic S, et al. The HSP40 chaperone Ydj1 drives amyloid beta 42 toxicity. EMBO Mol Med. 2022;14(5):e13952. Epub 2022/04/05. PubMed PMID: 35373908; PubMed Central PMCID: PMCPMC9081910.
  • Park SK, Pegan SD, Mesecar AD, et al. Development and validation of a yeast high-throughput screen for inhibitors of Abeta(4)(2) oligomerization. Dis Model Mech. 2011;4:822–831. Epub 2011/08/04. PubMed PMID: 21810907; PubMed Central PMCID: PMCPMC3209651. doi: 10.1242/dmm.007963.
  • Treusch S, Hamamichi S, Goodman JL, et al. Functional links between Abeta toxicity, endocytic trafficking, and Alzheimer’s disease risk factors in yeast. Science. 2011;334(6060):1241–1245. Epub 2011/10/29. PubMed PMID: 22033521; PubMed Central PMCID: PMCPMC3281757.
  • Perrino G, Wilson C, Santorelli M, et al. Quantitative characterization of alpha-synuclein aggregation in living cells through automated microfluidics feedback control. Cell Rep. 2019;27:916–27 e5. Epub 2019/04/18. PubMed PMID: 30995486; PubMed Central PMCID: PMCPMC6484782. doi: 10.1016/j.celrep.2019.03.081.
  • Ocampo A, Liu J, Barrientos A. NAD+ salvage pathway proteins suppress proteotoxicity in yeast models of neurodegeneration by promoting the clearance of misfolded/oligomerized proteins. Hum Mol Genet. 2013;22:1699–1708. Epub 2013/01/22. PubMed PMID: 23335597; PubMed Central PMCID: PMCPMC3657478. doi: 10.1093/hmg/ddt016.
  • Chuang KH, Liang F, Higgins R, et al. Ubiquilin/Dsk2 promotes inclusion body formation and vacuole (lysosome)-mediated disposal of mutated huntingtin. Mol Biol Cell. 2016;27(13):2025–2036. PubMed PMID: 27170182
  • Higgins R, Kabbaj MH, Hatcher A, et al. The absence of specific yeast heat-shock proteins leads to abnormal aggregation and compromised autophagic clearance of mutant Huntingtin proteins. PLoS One. 2018;13(1):e0191490. PubMed PMID: 29346421
  • Iwata A, Christianson JC, Bucci M, et al. Increased susceptibility of cytoplasmic over nuclear polyglutamine aggregates to autophagic degradation. Proc Natl Acad Sci U S A. 2005;102(37):13135–13140. Epub 2005/09/06. PubMed PMID: 16141322; PubMed Central PMCID: PMCPMC1201602.
  • Lu K, Psakhye I, Jentsch S. A new class of ubiquitin-Atg8 receptors involved in selective autophagy and polyQ protein clearance. Autophagy. 2014;10:2381–2382. Epub 2014/12/04. PubMed PMID: 25470352; PubMed Central PMCID: PMCPMC4502744. doi: 10.4161/15548627.2014.981919.
  • Xie Z, Nair U, Klionsky DJ. Atg8 controls phagophore expansion during autophagosome formation. Mol Biol Cell. 2008;19:3290–3298. Epub 2008/05/30. PubMed PMID: 18508918; PubMed Central PMCID: PMC2488302. doi: 10.1091/mbc.E07-12-1292.
  • Ammerer G, Hunter CP, Rothman JH, et al. PEP4 gene of Saccharomyces cerevisiae encodes proteinase A, a vacuolar enzyme required for processing of vacuolar precursors. Mol Cell Biol. 1986;6(7): 2490–2499. PubMed PMID: 3023936; PubMed Central PMCID: PMCPMC367803.
  • Toulmay A, Prinz WA. Direct imaging reveals stable, micrometer-scale lipid domains that segregate proteins in live cells. J Cell Biol. 2013;202(1):35–44. PubMed PMID: 23836928; PubMed Central PMCID: PMCPMC3704982
  • Duennwald ML, Jagadish S, Muchowski PJ, et al. Flanking sequences profoundly alter polyglutamine toxicity in yeast. Proc Natl Acad Sci U S A. 2006;103:11045–11050. Epub 2006/07/13. 0604547103 [pii]. PubMed PMID: 16832050. doi: 10.1073/pnas.0604547103.
  • Glover JR, Lindquist S. Hsp104, Hsp70, and Hsp40: a novel chaperone system that rescues previously aggregated proteins. Cell. 1998;94(1): 73–82. PubMed PMID: 9674429.
  • Nair U, Cao Y, Xie Z, et al. Roles of the lipid-binding motifs of Atg18 and Atg21 in the cytoplasm to vacuole targeting pathway and autophagy. J Biol Chem. 2010;285:11476–11488. Epub 2010/02/16. PubMed PMID: 20154084; PubMed Central PMCID: PMCPMC2857026. doi: 10.1074/jbc.M109.080374.
  • Epple UD, Suriapranata I, Eskelinen EL, et al. Aut5/Cvt17p, a putative lipase essential for disintegration of autophagic bodies inside the vacuole. J Bacteriol. 2001;183:5942–5955. Epub 2001/09/22. PubMed PMID: 11566994; PubMed Central PMCID: PMCPMC99673.doi: 10.1128/JB.183.20.5942-5955.2001.
  • Teter SA, Eggerton KP, Scott SV, et al. Degradation of lipid vesicles in the yeast vacuole requires function of Cvt17, a putative lipase. J Biol Chem. 2001;276:2083–2087. Epub 2000/11/22. PubMed PMID: 11085977; PubMed Central PMCID: PMCPMC2749705. doi: 10.1074/jbc.C000739200.
  • Hirata E, Shirai K, Kawaoka T, et al. Atg15 in Saccharomyces cerevisiae consists of two functionally distinct domains. Mol Biol Cell. 2021;32:645–663. Epub 2021/02/25. PubMed PMID: 33625870; PubMed Central PMCID: PMCPMC8108511. doi: 10.1091/mbc.E20-07-0500.
  • Kawamata T, Makino S, Kagohashi Y, et al. A method for the isolation and characterization of autophagic bodies from yeast provides a key tool to investigate cargos of autophagy. J Biol Chem. 2022;298:102641. Epub 2022/10/29. PubMed PMID: 36306824; PubMed Central PMCID: PMCPMC9700044. doi: 10.1016/j.jbc.2022.102641.
  • Buchan JR, Kolaitis RM, Taylor JP, et al. Eukaryotic stress granules are cleared by autophagy and Cdc48/VCP function. Cell. 2013;153(7):1461–1474. PubMed PMID: 23791177; PubMed Central PMCID: PMCPMC3760148
  • Boutouja F, Stiehm CM, Mastalski T, et al. Vps10-mediated targeting of Pep4 determines the activity of the vacuole in a substrate-dependent manner. Sci Rep. 2019;9(1):10557. Epub 2019/07/25. PubMed PMID: 31332264; PubMed Central PMCID: PMCPMC6646403.
  • Zhang A, Meng Y, Li Q, et al. The endosomal sorting complex required for transport complex negatively regulates Erg6 degradation under specific glucose restriction conditions. Traffic. 2020;21:488–502. Epub 2020/05/08. PubMed PMID: 32378292. doi: 10.1111/tra.12732.
  • Suzuki K, Kondo C, Morimoto M, et al. Selective transport of alpha-mannosidase by autophagic pathways: identification of a novel receptor, Atg34p. J Biol Chem. 2010;285:30019–30025. Epub 2010/07/20. PubMed PMID: 20639194; PubMed Central PMCID: PMCPMC2943286. doi: 10.1074/jbc.M110.143511.
  • Motley AM, Nuttall JM, Hettema EH. Pex3-anchored Atg36 tags peroxisomes for degradation in Saccharomyces cerevisiae. EMBO J. 2012;31:2852–2868. Epub 2012/05/31. PubMed PMID: 22643220; PubMed Central PMCID: PMCPMC3395097. doi: 10.1038/emboj.2012.151.
  • Kanki T, Wang K, Cao Y, et al. Atg32 is a mitochondrial protein that confers selectivity during mitophagy. Dev Cell. 2009;17:98–109. Epub 2009/07/22. PubMed PMID: 19619495; PubMed Central PMCID: PMCPMC2746076. doi: 10.1016/j.devcel.2009.06.014.
  • Mochida K, Oikawa Y, Kimura Y, et al. Receptor-mediated selective autophagy degrades the endoplasmic reticulum and the nucleus. Nature. 2015;522(7556):359–362. Epub 2015/06/05. PubMed PMID: 26040717.
  • Shintani T, Huang WP, Stromhaug PE, et al. Mechanism of cargo selection in the cytoplasm to vacuole targeting pathway. Dev Cell. 2002;3:825–837. Epub 2002/12/14. PubMed PMID: 12479808; PubMed Central PMCID: PMCPMC2737732. doi: 10.1016/s1534-5807(02)00373-8.
  • Matscheko N, Mayrhofer P, Rao Y, et al. Atg11 tethers Atg9 vesicles to initiate selective autophagy. PLoS Biol. 2019;17:e3000377. Epub 2019/07/30. PubMed PMID: 31356628; PubMed Central PMCID: PMCPMC6687201. doi: 10.1371/journal.pbio.3000377.
  • Kamber RA, Shoemaker CJ, Denic V. Receptor-bound targets of selective autophagy use a scaffold protein to activate the Atg1 kinase. Mol Cell. 2015;59:372–381. Epub 2015/07/15. PubMed PMID: 26166702; PubMed Central PMCID: PMCPMC5602610. doi: 10.1016/j.molcel.2015.06.009.
  • Ragusa MJ, Stanley RE, Hurley JH. Architecture of the Atg17 complex as a scaffold for autophagosome biogenesis. Cell. 2012;151:1501–1512. Epub 2012/12/12. PubMed PMID: 23219485; PubMed Central PMCID: PMCPMC3806636. doi: 10.1016/j.cell.2012.11.028.
  • Krick R, Muehe Y, Prick T, et al. Piecemeal microautophagy of the nucleus requires the core macroautophagy genes. Mol Biol Cell. 2008;19(10):4492–4505. Epub 2008/08/15. PubMed PMID: 18701704; PubMed Central PMCID: PMCPMC2555948.
  • Cheong H, Yorimitsu T, Reggiori F, et al. Atg17 regulates the magnitude of the autophagic response. Mol Biol Cell. 2005;16:3438–3453. Epub 2005/05/20. PubMed PMID: 15901835; PubMed Central PMCID: PMCPMC1165424. doi: 10.1091/mbc.e04-10-0894.
  • Kanki T, Wang K, Baba M, et al. A genomic screen for yeast mutants defective in selective mitochondria autophagy. Mol Biol Cell. 2009;20(22):4730–4738. Epub 2009/10/02. PubMed PMID: 19793921; PubMed Central PMCID: PMCPMC2777103.
  • Sekito T, Kawamata T, Ichikawa R, et al. Atg17 recruits Atg9 to organize the pre-autophagosomal structure. Genes Cells. 2009;14:525–538. Epub 2009/04/18. PubMed PMID: 19371383. doi: 10.1111/j.1365-2443.2009.01299.x.
  • Rao Y, Perna MG, Hofmann B, et al. The Atg1-kinase complex tethers Atg9-vesicles to initiate autophagy. Nat Commun. 2016;7:10338. Epub 2016/01/13. PubMed PMID: 26753620; PubMed Central PMCID: PMCPMC4729957. doi: 10.1038/ncomms10338.
  • Mochida K, Yamasaki A, Matoba K, et al. Super-assembly of ER-phagy receptor Atg40 induces local ER remodeling at contacts with forming autophagosomal membranes. Nat Commun. 2020;11:3306. Epub 2020/07/06. PubMed PMID: 32620754; PubMed Central PMCID: PMCPMC7335187. doi: 10.1038/s41467-020-17163-y.
  • Farre JC, Burkenroad A, Burnett SF, et al. Phosphorylation of mitophagy and pexophagy receptors coordinates their interaction with Atg8 and Atg11. EMBO Rep. 2013;14:441–449. Epub 2013/04/06. PubMed PMID: 23559066; PubMed Central PMCID: PMCPMC3642380. doi: 10.1038/embor.2013.40.
  • Marshall RS, Hua Z, Mali S, et al. ATG8-binding UIM proteins define a new class of autophagy adaptors and receptors. Cell. 2019;177:766–81 e24. Epub 2019/04/09. PubMed PMID: 30955882. doi: 10.1016/j.cell.2019.02.009.
  • Zhou F, Wu Z, Zhao M, et al. Rab5-dependent autophagosome closure by ESCRT. J Cell Biol. 2019;218(6):1908–1927. Epub 2019/04/24. PubMed PMID: 31010855; PubMed Central PMCID: PMCPMC6548130.
  • Schafer JA, Schessner JP, Bircham PW, et al. ESCRT machinery mediates selective microautophagy of endoplasmic reticulum in yeast. EMBO J. 2020;39(2):e102586. Epub 2019/12/06. PubMed PMID: 31802527; PubMed Central PMCID: PMCPMC6960443.
  • Shen K, Calamini B, Fauerbach JA, et al. Control of the structural landscape and neuronal proteotoxicity of mutant Huntingtin by domains flanking the polyQ tract. Elife. 2016;5. PubMed PMID: 27751235; PubMed Central PMCID: PMCPMC5135392. doi: 10.7554/eLife.18065
  • Meguro S, Zhuang X, Kirisako H, et al. Pex3 confines pexophagy receptor activity of Atg36 to peroxisomes by regulating Hrr25-mediated phosphorylation and proteasomal degradation. J Biol Chem. 2020;295:16292–16298. Epub 2020/09/23. PubMed PMID: 32958557; PubMed Central PMCID: PMCPMC7705307. doi: 10.1074/jbc.RA120.013565.
  • Chen S, Desai T, McNew JA, et al. Lunapark stabilizes nascent three-way junctions in the endoplasmic reticulum. Proc Natl Acad Sci U S A. 2015;112:418–423. Epub 2014/12/31. PubMed PMID: 25548161; PubMed Central PMCID: PMCPMC4299238. doi: 10.1073/pnas.1423026112.
  • Anandhan A, Rodriguez-Rocha H, Bohovych I, et al. Overexpression of alpha-synuclein at non-toxic levels increases dopaminergic cell death induced by copper exposure via modulation of protein degradation pathways. Neurobiol Dis. 2015;81:76–92. Epub 2014/12/17. PubMed PMID: 25497688; PubMed Central PMCID: PMCPMC4459946. doi: 10.1016/j.nbd.2014.11.018.
  • Hyttinen JM, Amadio M, Viiri J, et al. Clearance of misfolded and aggregated proteins by aggrephagy and implications for aggregation diseases. Ageing Res Rev. 2014;18:16–28. Epub 2014/07/27. PubMed PMID: 25062811. doi: 10.4161/auto.36098.
  • Lamark T, Johansen T. Aggrephagy: selective disposal of protein aggregates by macroautophagy. Int J Cell Biol. 2012;2012:736905. Epub 2012/04/21. PubMed PMID: 22518139; PubMed Central PMCID: PMC3320095. doi: 10.1128/mcb.6.7.2490-2499.1986.
  • Kabeya Y, Noda NN, Fujioka Y, et al. Characterization of the Atg17-Atg29-Atg31 complex specifically required for starvation-induced autophagy in Saccharomyces cerevisiae. Biochem Biophys Res Commun. 2009;389:612–615. Epub 2009/09/17. PubMed PMID: 19755117. doi: 10.1016/j.bbrc.2009.09.034.
  • Deosaran E, Larsen KB, Hua R, et al. NBR1 acts as an autophagy receptor for peroxisomes. J Cell Sci. 2013;126(Pt 4):939–952. Epub 2012/12/15. PubMed PMID: 23239026.
  • Yamashita S, Abe K, Tatemichi Y, et al. The membrane peroxin PEX3 induces peroxisome-ubiquitination-linked pexophagy. Autophagy. 2014;10:1549–1564. Epub 2014/07/10. PubMed PMID: 25007327; PubMed Central PMCID: PMCPMC4206534. doi: 10.4161/auto.29329.
  • Longtine MS, McKenzie A 3rd, Demarini DJ, et al. Additional modules for versatile and economical PCR-based gene deletion and modification in Saccharomyces cerevisiae. Yeast. 1998;14(10):953–961.
  • Tanaka C, Tan LJ, Mochida K, et al. Hrr25 triggers selective autophagy-related pathways by phosphorylating receptor proteins. J Cell Biol. 2014;207(1):91–105. Epub 2014/10/08. PubMed PMID: 25287303; PubMed Central PMCID: PMCPMC4195827.
  • Tong AH, Evangelista M, Parsons AB, et al. Systematic genetic analysis with ordered arrays of yeast deletion mutants. Science. 2001;294(5550):2364–2368.
  • Daniel JA, Yoo J, Bettinger BT, et al. Eliminating gene conversion improves high-throughput genetics in Saccharomyces cerevisiae. Genetics. 2006;172(1):709–711. PubMed PMID: 16157664; PubMed Central PMCID: PMCPMC1456194