Abstract
Cells are often exposed to physical or chemical stresses that can damage the structures of essential biomolecules. Stress-induced cellular damage can become deleterious if not managed appropriately. Rapid and adaptive responses to stresses are therefore crucial for cell survival. In eukaryotic cells, different stresses trigger post-translational modification of proteins with the small ubiquitin-like modifier SUMO. However, the specific regulatory roles of sumoylation in each stress response are not well understood. Here, we examined the sumoylation events that occur in budding yeast after exposure to hyperosmotic stress. We discovered by proteomic and biochemical analyses that hyperosmotic stress incurs the rapid and transient sumoylation of Cyc8 and Tup1, which together form a conserved transcription corepressor complex that regulates hundreds of genes. Gene expression and cell biological analyses revealed that sumoylation of each protein directs distinct outcomes. In particular, we discovered that Cyc8 sumoylation prevents the persistence of hyperosmotic stress-induced Cyc8-Tup1 inclusions, which involves a glutamine-rich prion domain in Cyc8. We propose that sumoylation protects against persistent inclusion formation during hyperosmotic stress, allowing optimal transcriptional function of the Cyc8-Tup1 complex.
Author Summary
Cells have evolved complex stress responses to cope with environmental challenges that could otherwise inflict severe damage on the molecules essential for life. Stress responses must ameliorate the immediate damage caused by stress exposure and also adjust metabolic capacity, gene expression output, and other cellular functions to protect against further damage that could be incurred by prolonged exposure to stress. Posttranslational protein modifications are a major means by which cells respond to changing environmental conditions. These modifications can alter the function, localization, and molecular interactions of their target proteins. In addition, evidence is emerging that some posttranslational modifications may also change the physical characteristics of target proteins. In this study, we present evidence that during hyperosmotic stress, a condition known to induce protein misfolding, cells rapidly but transiently use the small ubiquitin-modifier SUMO to protect against persistent inclusion formation of a conserved transcriptional repressor complex. We propose that this rapid protective action via posttranslational modification enables optimal gene regulation during the cellular response to hyperosmotic stress.
Introduction
Throughout their lives, cells will be exposed to a variety of stresses: extreme temperatures, altered osmolarity, hypoxia, free radicals, infections, and genotoxic insults. Exposure to these stresses can deleteriously damage the structures of essential biomolecules such as DNA, RNA, and proteins. Thus, a cell’s ability to sense, react, and adapt to stress is crucial for survival. Stress responses have evolved to protect the cell in two major ways. Stress responses initiate cellular programs that rapidly alter specific protein activities to cope with the immediate damage caused by acute exposure to stress. They also adjust gene expression and metabolism to protect against further damage that can be incurred by prolonged exposure to stress. Both immediate and sustained stress response mechanisms are essential for directing cellular resources towards repair and protection and away from growth and proliferation. Failure to respond appropriately to stress-induced damage can lead to loss of cell viability. Importantly, many human diseases (e.g. diabetes, heart disease, cancer, and neurodegeneration) result from, or cause cellular stress [1].
Posttranslational protein modifications are a crucial means the cell uses to elicit functional changes during stress. A key protein modification that is an important and immediate signal in response to stress is the small ubiquitin-like modifier SUMO. Similar to ubiquitin, SUMO modification occurs via a multi-enzyme cascade [2,3]. Initially, a SUMO-activating enzyme activates SUMO in an ATP-dependent manner [2]. A SUMO-conjugating enzyme then attaches SUMO to lysine residues of a target protein in collaboration with a SUMO ligase [2]. Sumoylation is reversible and its removal is mediated by desumoylating enzymes [2]. To function optimally as a stress regulator, the addition and removal of SUMO must be dynamically controlled by the cell.
Proteomic studies in many eukaryotes have revealed that dramatic increases in protein sumoylation occur following heat, oxidative, salt, and ethanol stresses [4,5,6,7,8,9,10,11,12,13]. While the identities of proteins subject to stress-induced sumoylation have been catalogued in a number of organisms, in the majority of cases it is not clear what function stress-induced sumoylation serves at the individual protein level. Under normal conditions, sumoylation typically directs changes in protein function, localization, and/or interactions [3,14]. More recently, sumoylation has been found to play a role in protein folding and quality control [4,12,15,16,17]. It remains an open question whether stress-induced sumoylation coordinates canonical regulatory responses or protects the folding state of its protein targets. These outcomes are not mutually exclusive and their involvement will depend upon the specific proteins sumoylated during stress. Here, we uncovered a new role for sumoylation in preventing the highly conserved transcriptional corepressor Cyc8 from forming persistent inclusions during hyperosmotic stress in the budding yeast Saccharomyces cerevisiae. We use the term "inclusion" in its broadest definition, which is to describe cellular foci not bounded by membranes that can range from misfolded protein aggregates to concentrated functional protein assemblies.
Results
Rapid, dynamic sumoylation changes occur during hyperosmotic stress
Several previous studies that examined global sumoylation in yeast used a tandem 6x histidine (His6), FLAG-epitope tagged version of the yeast SUMO protein Smt3 that was either overexpressed from a plasmid [18,19,20], or expressed at normal levels from the endogenous SMT3 genomic locus [7]. We wished to avoid any spurious issues that could occur due to overexpression, so we opted for an endogenous expression approach to examine the temporal changes in sumoylation that occur during application of different stresses. We constructed a yeast strain wherein we altered the endogenous SMT3 gene by adding a His6-FLAG coding sequence to its 5’ end (Fig 1A). With this strain, we investigated sumoylation patterns over time in response to various stressors: hyperosmotic stress (1.2M sorbitol), heat shock (42°C), and ethanol stress (10% v/v). Heat shock and ethanol stress resulted in steady accumulation of sumoylation, whereas hyperosmotic stress caused a rapid and transient sumoylation pattern (Fig 1B), similar to what was reported recently [21].
We found the transient hyperosmotic stress-induced sumoylation intriguing. To ensure the effect was consistent, we examined other commonly used hyperosmotic stressors using equal osmolyte concentrations– 0.6M NaCl or 0.6M KCl. We observed identical sumoylation patterns as with 1.2M sorbitol albeit with altered kinetics and amplitudes (Fig 1C), indicating that equal osmolyte concentrations are not equivalent osmolyte stresses sensed by the cell. We verified the transient hyperosmotic stress effect was not an artifact of the His6-FLAG fusion to Smt3. Using a native SUMO antibody, we found wild-type SMT3 cells exhibited the same pattern of dynamic sumoylation during 1.2M sorbitol addition as His6-FLAG-SMT3 cells (Fig 1D). We also compared the growth of His6-FLAG-SMT3 cells to wild-type SMT3 cells in normal or hyperosmotic stress conditions and found no effect of the tag on cell growth (Fig 1E).
Tup1 and Cyc8 are major proteins sumoylated during hyperosmotic stress
To identify proteins that are sumoylated during hyperosmotic stress, we adopted a label-free mass spectrometry (MS) approach, wherein changes in total peptide (spectral) counts for a protein are a semi-quantitative proxy for protein abundance [23]. Using metal affinity chromatography, we enriched for sumoylated proteins from His6-FLAG-SMT3 cell lysates generated under heavy denaturing conditions (8M urea and 0.05% SDS) from cultures obtained before and after 15 minutes of hyperosmotic stress (Fig 2A). We specifically chose heavy denaturing conditions so that we could minimize co-purifying proteins that would confound the analysis.
After the MS analysis of peptides generated by trypsin digestion, we categorized a protein as undergoing hyperosmotic stress-dependent sumoylation if the summed peptide counts from the 15-minute replicates exceeded those from the 0-minute replicates by ≥3 fold, and if the peptide counts in the 15-minute replicates were statistically distinct from the 0-minute replicates (p≤0.01), similar to our previous studies [24,25]. Upon analyzing the purified sumoylated proteins by MS, we found that two proteins—Tup1 and Cyc8—were strikingly enriched in the 15 minute samples (Fig 2B and 2C and S1 Table). This result was interesting because Tup1 and Cyc8 (aka Ssn6) form a transcription corepressor complex that regulates the transcription of genes involved in carbon metabolism, mating-type switching, and responses to stress [26]. We note that other proteins could be sumoylated during hyperosmotic stress and these could have been missed due to the stringent protein isolation conditions we used for our analysis. Given the dramatic increases in sumoylation with Tup1 and Cyc8 during hyperosmotic stress (Fig 2B and 2C and S1 Table), however, we chose to specifically pursue the function for the sumoylation of these two proteins.
We confirmed that Tup1 and Cyc8 were sumoylated during hyperosmotic stress by enriching for sumoylated proteins from lysates of His6-FLAG-SMT3 cells and probing specifically for epitope-tagged versions of Tup1 and Cyc8 expressed from their endogenous promoters. Both proteins displayed multiple, transient sumoylated species after hyperosmotic stress (Fig 2D, right panels). Neither protein was sumoylated during heat shock or ethanol stress (Fig 2E, right panels), indicating that the striking increase in sumoylation of Tup1 and Cyc8 is specific for hyperosmotic stress, and not a general SUMO stress response as has been recently proposed [13].
We deleted each gene to determine the extent to which sumoylated Tup1 and Cyc8 contributed to the overall amount of sumoylated species observed during hyperosmotic stress. Surprisingly, deletion of either TUP1 or CYC8 abolished the dramatic sumoylation increase normally observed during hyperosmotic stress (Fig 3A). This is consistent with the MS data showing that Tup1 and Cyc8 are the major sumoylated proteins (Fig 2C). We note that there was a higher background of sumoylation in the absence of either Tup1 or Cyc8. It is possible that without Tup1 or Cyc8 expression, there is more SUMO that is free to be added to other proteins. It is also possible that gene derepression in the absence of Cyc8-Tup1 function leads to more observable background sumoylation of the new proteins produced. These possibilities are not mutually exclusive.
The vastly reduced sumoylation response to hyperosmotic stress in tup1Δ and cyc8Δ cells suggested that Tup1 and Cyc8 might need to be in a complex for their individual sumoylation, such that deletion of one abrogates the sumoylation of the other. We addressed this possibility by using mutant forms of Tup1 and Cyc8 that cannot interact with each other. In Tup1, residues 1–72 mediate the interaction with Cyc8 [27]. In Cyc8, residues 1–175 mediate the interaction with Tup1 [28]. We expressed epitope-tagged versions of either wild-type Tup1 or Tup1Δ1–72 and wild-type Cyc8 or Cyc8Δ1–175 in a strain in which endogenous untagged Tup1 and Cyc8 were both present. This configuration allowed for Tup1-Cyc8 complexes to form normally in the cell and avoided any phenotypic complications that might result from complete loss of the complex function that occurs with the full deletion strains. Using this strategy, we found that only wild-type Tup1 and Cyc8, but not mutant TupΔ1–72 or Cyc8Δ1–175, were sumoylated during hyperosmotic stress (Fig 3B and 3C). These results support the idea that Tup1 and Cyc8 need to be in a complex together for their sumoylation.
It was possible that Tup1Δ1–72 and Cyc8Δ1–175 were not sumoylated because the deleted regions contain the sites of sumoylation. Therefore, we proceeded to identify the sites of Tup1 and Cyc8 sumoylation during hyperosmotic stress. It was previously reported that Tup1 is sumoylated at low levels on lysine 270 in normal growth conditions [29]. We generated an epitope-tagged Tup1 with the corresponding K270R mutation (Tup1K270R). Mutation of lysine 270 completely abolished Tup1 sumoylation during hyperosmotic stress (Fig 4A), indicating that lysine 270 is the sole site modified by SUMO in response to hyperosmotic stress. For Cyc8, low levels of sumoylation have been demonstrated during normal growth conditions [30,31], but the precise sites of Cyc8 sumoylation are unknown. Cyc8 contains 32 lysines, and we found that 3 lysine residues C-terminal to position 735 were predicted to be strong SUMO consensus sites using a SUMO site prediction algorithm [32]. However, individual mutation of these residues did not alter Cyc8 sumoylation. To determine the location of Cyc8’s sumoylation sites, we made C-terminal truncation mutants of Cyc8. We found Cyc8 sumoylation was greatly reduced when the protein was truncated from residues 745 to 715 (Fig 4B). We mutated the lysine residues in this region (lysines 735, 736, and 738) and a proximal lysine residue at 748 to arginine (now called Cyc84KtoR). After doing so, we observed a dramatic reduction in the hyperosmotic stress-induced sumoylation of Cyc8 (Fig 4C). Thus, we show that the Tup1 region 1–72 and the Cyc8 region 1–175 do not contain the sites of sumoylation.
Because Tup1 and Cyc8 sumoylation was contingent upon the formation of a Tup1-Cyc8 complex (Fig 3B and 3C), we examined whether Tup1 sumoylation was dependent on Cyc8 sumoylation, or vice versa. Loss of Cyc8 sumoylation considerably reduced the levels of Tup1 sumoylation (Fig 4D). By contrast, loss of Tup1 sumoylation did not alter Cyc8 sumoylation (Fig 4E). We conclude from these data that Cyc8 sumoylation is a controlling modification in the complex.
Using the sumoylation-deficient Tup1 and Cyc8 mutants, we determined the extent of total hyperosmotic stress-induced sumoylation due to Tup1 and Cyc8 sumoylation. Mutation of the Tup1 and Cyc8 sumoylation sites completely abrogated the observable global increase in sumoylation during hyperosmotic stress (Fig 4F). Thus, we conclude that the major observable SUMO conjugates formed in wild-type cells during hyperosmotic stress are Tup1 and Cyc8. We note that other minor hyperosmotic-dependent sumoylated species that are below detection by western analysis could still exist.
Loss of Tup1 or Cyc8 sumoylation elicits distinct transcriptional effects
Because Tup1 and Cyc8 are the major proteins sumoylated during hyperosmotic stress, we wondered if there were phenotypic consequences of losing sumoylation on Tup1 and/or Cyc8. The main question we wanted to resolve was whether the combined sumoylation of Tup1 and Cyc8 serves a single purpose or if the individual sumoylation of Tup1 and Cyc8 each directs distinct outcomes. We began by examining gene expression changes because Tup1 and Cyc8 form a well-conserved transcriptional corepressor complex [26]. Deletion of TUP1 or CYC8 has been shown to affect the expression of ~1000 genes by ≥1.5 fold during unstressed conditions [33]. While there was considerable overlap in gene expression changes between tup1Δ and cyc8Δ cells in that study, there were also significant differences suggesting a potential separation of function for each protein.
We performed transcript microarray analyses using strains with different combinations of wild-type and sumoylation-deficient Tup1 and/or Cyc8 over a time course of 0, 30, and 60 minutes after 1.2M sorbitol addition. To identify significant changes in gene expression, we compared wild-type replicates and found that 3 standard deviations from the mean corresponded to a 1.57-fold change in gene expression. We used this empirically derived value as the significance cutoff in our analyses.
We first examined gene expression changes at the 0 time point because in unstressed conditions Tup1 and Cyc8 regulate many genes [33], and are sumoylated at low levels [29,30]. In our initial analysis, we observed far fewer total changes with the sumoylation-deficient mutants (~290 genes, Fig 5A and S2 Table) than with the gene deletion mutants (~1000, [33]), indicating that loss of sumoylation has much subtler transcriptional effects than the deletions. We confirmed this by examining the ability of Tup1K270R cells and Cyc84KtoR cells to flocculate, which is a characteristic phenotype of tup1Δ cells and cyc8Δ cells [26]. Strains deficient in Tup1 or Cyc8 sumoylation did not show a flocculation phenotype (S1A Fig).
The most striking effect we noticed at the 0 time point was that Tup1K270R cells showed a distinct set of gene expression changes compared with Cyc84KtoR cells (Fig 5A and S1B Fig and S2 Table). In addition, the changes in the double Tup1K270R/Cyc84KtoR strain strongly correlated with the changes observed in the single Cyc84KtoR strain, indicating that loss of Cyc8 sumoylation is epistatic to loss of Tup1 sumoylation for gene expression. The unstressed expression results provided the first piece of evidence that loss of Tup1 and Cyc8 sumoylation each leads to distinct cellular alterations.
The role of the Tup1-Cyc8 complex in gene repression has been examined for many specific genes under unstressed conditions [34,35,36,37,38,39]. We focused on 16 example genes from these studies that were uniformly derepressed when TUP1 or CYC8 was deleted. We did not observe uniform derepression when Tup1 and/or Cyc8 sumoylation was disrupted (S1C Fig). However, the gene expression changes in this subset of genes was also distinct in Tup1K270R cells compared with Cyc84KtoR cells, supporting that loss of Tup1 and Cyc8 sumoylation confer different outcomes.
We next examined gene expression changes during hyperosmotic stress (Fig 5B and S2 Table). To identify genes whose expression was altered in Tup1 and Cyc8 sumoylation-deficient strains relative to wild-type strains, we calculated mutant-effect ratios for each time point by subtracting the log2 values of the wild-type strain from each mutant strain [40,41]. We present those genes whose expression was changed by at least 1.57 fold in the mutant strains compared to the wild-type strain. Once again, Tup1K270R cells showed a distinct pattern of gene expression changes when compared with Cyc84KtoR cells or Tup1K270R/Cyc84KtoR cells (Fig 5B). Focusing on the 16 example genes reported in other studies, we again did not observe uniform derepression when Tup1 and/or Cyc8 sumoylation was disrupted (S1D Fig), but gene expression changes in this subset of genes was also distinct between Tup1K270R cells compared to Cyc84KtoR cells. All data thus far indicated that loss of Tup1 sumoylation has effects that are distinct from loss of Cyc8 sumoylation.
We inquired if there was any functional enrichment among the genes that showed altered expression in Tup1K270R or Cyc84KtoR cells during hyperosmotic stress. To be stringent, we examined the dataset for genes with at least 2-fold expression changes in either Tup1K270R or Cyc84KtoR cells 30 minutes after hyperosmotic stress. In Tup1K270R cells, we discovered that 15 of the 16 upregulated genes are proximal to telomeres (S1E Fig), suggesting Tup1 sumoylation might play a role in regulating subtelomeric genes during hyperosmotic stress. In Cyc84KtoR cells, we found that 13 of the 21 upregulated genes are normally glucose repressed (S1F Fig), and some of these are hexose sugar transporters (HXT1, HXT6, and HXT7) that are known to be reduced in abundance during hyperosmotic stress [42]. These results are interesting because hexose sugars can also serve as intracellular osmolytes and the misregulation of hexose transporters and metabolic enzymes could contribute to delays in recovery from hyperosmotic stress. We confirmed the altered expression of two of these glucose-repressed genes, HXT6 and GSY1, by quantitative RT-PCR (S1G Fig).
Loss of Cyc8 sumoylation has subtle growth defects that are not fully penetrant
Because sumoylation-deficient Tup1K270R cells showed distinct transcriptional changes from sumoylation-deficient Cyc84KtoR cells, we examined whether there were different phenotypic growth consequences of eliminating Tup1 or Cyc8 sumoylation. In unstressed conditions, we did not observe any growth differences between wild-type and mutant strains (Fig 5C and 5D). Using very stringent hyperosmotic stress conditions (1M NaCl), we did observe subtle growth defects for strains that were deficient for Cyc8 sumoylation (Fig 5C and 5D). However, we note that this phenotype was not fully penetrant; we reproducibly found that ~50% of cultures showed little effect (Fig 5C). This unusual and intriguing variability in phenotype suggested that there may be an underlying epigenetic effect associated with loss of Cyc8 sumoylation.
Cyc8 sumoylation prevents inclusion formation of Cyc8-Tup1 during hyperosmotic stress
We were intrigued by the epistatic nature of Cyc8 sumoylation seen in the transcript array analysis. Specifically, we wanted to explore the mechanism by which loss of Cyc8 sumoylation overrides loss of Tup1 sumoylation. Sumoylation is generally thought to alter protein activity, localization, and/or interactions [3,14]. However, another possible role for sumoylation may be to protect against inclusion formation of misfolded proteins in vivo [43,44,45,46]. In fact, a key biochemical feature of SUMO is that it is a highly soluble protein and can promote the solubility of recombinant proteins when fused to them [47,48].
It has been reported that hyperosmotic stress induces protein misfolding in vivo [49,50], particularly of glutamine-rich proteins [51]. Cyc8 has a 16-residue polyglutamine tract from residues 15–30 and a highly glutamine-rich region from residues 491–598 (S2A Fig). The Cyc8 glutamine-rich region includes a 32 glutamine-alanine repeat sequence and a 31-residue polyglutamine tract that approaches the pathological length size linked to human polyglutamine-expansion diseases [52]. Interestingly, overexpression of a C-terminal fragment containing Cyc8’s glutamine-rich region (residues 465–966) induces the formation of a Cyc8 prion state—the yeast [OCT+] prion [35]. Consistent with its ability to form the [OCT+] prion, Cyc8 has been predicted to contain a region from residues 441–677 that has sequence properties of a prion domain (PrD) [53], and this includes the glutamine-rich region. In fact, overexpression of Cyc8’s predicted PrD leads to the formation of detergent-insoluble amyloids in vivo [53]. Tup1 also has 2 glutamine-rich regions from residues 97–128 and 181–202 (S2B Fig). Based on this information, we hypothesized that sumoylation might protect Cyc8 and possibly Tup1 from forming inclusions in vivo during hyperosmotic stress.
To examine inclusion formation for Cyc8, we made strains expressing GFP-tagged wild-type Cyc8 or sumoylation-deficient Cyc84KtoR in combination with untagged wild-type Tup1 or sumoylation-deficient Tup1K270R. After exposure of cells to hyperosmotic stress during a time course of 60 minutes, sumoylation-deficient Cyc84KtoR-GFP, but not wild-type Cyc8-GFP, formed transient cytoplasmic inclusions that peaked in number during the first 15 minutes of hyperosmotic stress and disappeared by 60 minutes (Fig 6A). The inclusions formed by Cyc84KtoR-GFP were independent of Tup1 sumoylation as the inclusions formed in cells with either wild-type Tup1 or sumoylation-deficient Tup1K270R.
We next examined if sumoylation-deficient Tup1K270R also formed inclusions during hyperosmotic stress. We generated strains expressing GFP-tagged wild-type Tup1 or sumoylation-deficient Tup1K270R in combination with untagged wild-type Cyc8 or sumoylation-deficient Cyc84KtoR. Neither Tup1-GFP nor Tup1K270R-GFP formed inclusions over the course of hyperosmotic stress in wild-type Cyc8 cells (Fig 6B). However, both Tup1-GFP and Tup1K270R-GFP formed transient inclusions in sumoylation-deficient Cyc84KtoR cells, peaking at 15 minutes and disappearing by 60 minutes. Thus, the loss of Cyc8 sumoylation caused both Cyc8 and Tup1 to form transient cytoplasmic inclusions during hyperosmotic stress. This also explains why loss of Cyc8 sumoylation is epistatic to loss of Tup1 sumoylation.
Because both Cyc8 and Tup1 formed inclusions when Cyc8 was sumoylation deficient, we explored whether the individual Tup1 and Cyc8 inclusions were due to the Cyc8-Tup1 complex forming inclusions. To do this, we tagged Cyc84KtoR with GFP and Tup1 with mCherry to determine if Cyc84KtoR and Tup1 inclusions colocalize in the same cell. After addition of 1.2M sorbitol to induce hyperosmotic stress, we observed that Tup1-mCherry inclusions did colocalize with Cyc84KtoR-GFP inclusions (Fig 6C), indicating that the inclusions are Tup1-Cyc8 complexes.
We also determined if the inclusions were composed of multiple Cyc84KtoR molecules. To do this, we coexpressed Cyc84KtoR tagged with GFP and Cyc84KtoR tagged with mCherry in the same cells. After induction of hyperosmotic stress, we found that both Cyc84KtoR-GFP and Cyc84KtoR-mCherry colocalized to the same inclusions (Fig 6D). This indicates that the inclusions contain multiple Cyc8 molecules.
One possibility for the inclusion formation seen in Cyc84KtoR cells is that the in cis mutations within Cyc8 that eliminate sumoylation cause Cyc8 to become more prone to inclusion formation irrespective of sumoylation. Previously, it was found that the SUMO ligase Siz1 is primarily involved in the global sumoylation observed during hyperosmotic stress [13,21]. Therefore we made a strain with SIZ1 deleted, and verified that loss of Siz1 function reduced global sumoylation during hyperosmotic stress whereas loss of Siz2 function did not (Fig 7A). We then explored the effect of losing Siz1 function on Tup1 and Cyc8 sumoylation. In siz1Δ cells, Tup1 sumoylation was reduced but still considerable (Fig 7B). By contrast, Cyc8 sumoylation was more greatly reduced in siz1Δ cells (Fig 7B), indicating that we were able to differentially reduce Cyc8 sumoylation in siz1Δ cells. When we examined inclusion formation, we observed that wild-type Cyc8 in siz1Δ cells formed similar inclusions as Cyc84KtoR in SIZ1 cells, but at a lower frequency (Fig 7C). Thus, loss of sumoylation in cis or in trans leads to persistent Cyc8 inclusion formation during hyperosmotic stress.
We observed that Cyc84KtoR exhibited a modest increase in cytoplasmic localization by fluorescence microscopy. One possible reason for this is that mutation of Cyc8’s sumoylation sites alters its nuclear import. Therefore, we quantified the amount of Cyc8 present in the nucleus and cytoplasm in cells expressing wild-type Cyc8 or sumoylation-deficient Cyc84KtoR. We did not observe a change in the nuclear intensity of Cyc8 in either cells (Fig 7D), indicating that nuclear import is not compromised by mutation of Cyc8’s sumoylation sites. It is possible that the increased cytoplasmic localization of Cyc84KtoR occurs because mutating the four lysine residues alters cytoplasmic protein quality control, potentially at the ribosome [54]. To determine what would happen when the Cyc84KtoR cytoplasmic pool was redirected to the nucleus, we added the strong SV40 NLS to Cyc84KtoR. This caused Cyc84KtoR, SV40NLS to become predominantly nuclear localized (Fig 7E). More importantly, the inclusion behavior was unchanged and we observed visually dramatic inclusion formation in the nucleus with Cyc84KtoR, SV40NLS (Fig 7E). We conclude that the behavior of the protein is unchanged whether in the nucleus or cytoplasm.
Sumoylation-deficient Cyc8 cytoplasmic inclusions are not P bodies or stress granules
P bodies and stress granules are dynamic cellular inclusions that form when translation initiation is compromised [55]. Because hyperosmotic stress challenges the cell’s translational capacity, we explored if the sumoylation-deficient Cyc84KtoR cytoplasmic inclusions were P bodies and/or stress granules. The protein Edc3 is involved in mRNA decapping and forms P bodies during glucose deprivation, oxidative stress, and hyperosmotic stress [55]. The protein Pub1 is a poly(A) RNA-binding protein that stabilizes many mRNAs and forms stress granules during glucose deprivation and oxidative stress [55]. To examine P bodies and stress granule formation, we tagged Edc3 or Pub1 with mCherry in cells that also expressed sumoylation-deficient Cyc84KtoR tagged with GFP. In no case did we observe colocalization of Cyc84KtoR inclusions with Edc3 P bodies that formed under hyperosmotic stress (Fig 8A). Pub1 stress granules do not form under hyperosmotic stress ([55] and Fig 8B), thus eliminating the possibility that sumoylation-deficient Cyc84KtoR inclusions are stress granules.
Normal Cyc8 and sumoylation-deficient Cyc8 form nuclear inclusions during hyperosmotic stress with different resolution kinetics
Wild-type Cyc8 and sumoylation-deficient Cyc84KtoR are both highly enriched in the nucleus (Fig 6A), which is expected for Cyc8’s transcription corepressor function. However, mutant Cyc84KtoR showed some cytoplasmic localization compared to wild-type Cyc8 (Fig 6A). Furthermore, Cyc84KtoR inclusions were most evident in the cytoplasm by standard fluorescence microscopy (Fig 6A). To be thorough, we wanted to determine if the nuclear-localized fraction of sumoylation-deficient Cyc84KtoR also formed inclusions. To do this, we used Structured Illumination Microscopy (SIM) to observe nuclear structures at greater visual resolution than can be achieved with standard fluorence microscopy. Using this approach, we were able to visualize that sumoylation-deficient Cyc84KtoR formed transient nuclear inclusions in addition to cytoplasmic inclusions (Fig 9A and 9B). Thus, inclusion formation is not merely a consequence of the cytoplasmic localization of sumoylation-deficient Cyc84KtoR. Interestingly, wild-type Cyc8 also formed nuclear inclusions (Fig 9A and 9B), but the wild-type Cyc8 inclusions disappeared faster than the sumoylation-deficient Cyc84KtoR nuclear inclusions (Fig 9B). Disappearance of wild-type Cyc8 inclusions occurred ~20 minutes after hyperosmotic stress (Fig 9B), which is also the time of peak Cyc8 sumoylation (Figs 2D and 7B). This is consistent with a role for sumoylation in protecting wild-type Cyc8 from persistent inclusions during hyperosmotic stress.
It is possible that the nuclear inclusions formed by Cyc8 are not aggregates but concentrated chromatin-associated foci involved in active transcription during hyperosmotic stress. To explore the active chromatin possibility, we tagged histone H2B (Htb1) with mCherry in cells with Cyc8 tagged with GFP. We chose histone H2B because it is a general reporter for the dynamics of chromatin. We expect that we would observe similar H2B nuclear foci if Cyc8 condenses into chromatin-associated foci. Although Cyc8 and H2B localization were highly correlated during unstressed conditions, after hyperosmotic stress the peak localizations of Cyc8 and H2B intensities were very different (Fig 9C). Furthermore, when we used Mander’s overlap coefficient to measure colocalization after confocal microscopy [56,57], we found that the colocalization of Cyc8 and H2B decreased during hyperosmotic stress and this correlated with the inclusion formation of Cyc8 (Fig 9D). This suggests that the nuclear Cyc8 inclusions are unlikely to be chromatin-associated foci involved in transcription.
Loss of Hog1 function causes longer persistence of Cyc8 inclusions
Cellular resolution of sumoylation-deficient Cyc84KtoR inclusions did not occur until 40–60 minutes after application of hyperosmotic stress (Figs 6A and 9B). The observation that Cyc84KtoR inclusions resolved in the absence of Cyc8 sumoylation could be explained by how eukaryotic cells adapt to hyperosmotic stress [58]. Activation of the Hog1/p38 MAP kinase pathway allows cells to neutralize hyperosmotic stress by accumulating intracellular osmolytes and chemical chaperones, most importantly glycerol [59]. In yeast, intracellular glycerol accumulation peaks in concentration ~40–60 minutes after initiation of the hyperosmotic stress [60], and this is due to Hog1’s inactivation of glycerol efflux pumps and activation of glycerol synthesis enzymes [59].
Therefore, we examined whether loss of Hog1 signaling altered hyperosmotic stress-induced sumoylation as well as sumoylation-deficient Cyc84KtoR inclusion formation/persistence. The kinetics of global hyperosmotic stress-dependent sumoylation were identical between HOG1 and hog1Δ cells, but desumoylation was markedly slower in hog1Δ cells (Fig 10A). It is important to note that loss of Cyc8 sumoylation did not alter the kinetics of Hog1 phosphorylation and activation during hyperosmotic stress (Fig 10B), indicating that Hog1 activation is independent of Cyc8 sumoylation. Hog1 phosphorylation remains slightly higher in cyc84KtoR cells at 30 minutes of hyperosmotic stress (Fig 10B). This delay is consistent with an overall delayed adaptation to hyperosmotic stress response in cyc84KtoR cells, which can be observed as a growth defect of cyc84KtoR cells in hyperosmotic conditions (Fig 5C and 5D). In addition, sumoylation-deficient Cyc84KtoR inclusions formed with the same kinetics in both HOG1 cells and hog1Δ cells, but were visually more pronounced and persisted much longer in hog1Δ cells (Fig 10C). We conclude that hyperosmotic stress-induced Cyc8 sumoylation and Cyc84KtoR inclusion formation do not require Hog1, but their persistence is modulated by Hog1 function.
The glutamine-rich prion domain of Cyc8 mediates inclusion formation
Cyc8 has a glutamine-rich prion domain (PrD) that, when overexpressed by itself, can induce formation of the Cyc8 [OCT+] prion [35], and form SDS-resistant amyloids [53]. Because we examined full-length Cyc8 under endogenous expression conditions, we wanted to determine whether the hyperosmotic stress-dependent Cyc84KtoR-GFP inclusions adopt an SDS-resistant amyloid state. One common technique to assess the amyloid nature of yeast prions is semi-denaturing detergent agarose gel electrophoresis (SDD-AGE) [53,61,62]. Using SDD-AGE, we found Cyc84KtoR-GFP did not form SDS-resistant amyloids during hyperosmotic stress (Fig 11A). As controls, overexpression of the Cyc8 PrD by itself or the known prion Rnq1 did form SDS-resistant amyloids (Fig 11A). In a second comparison to amyloid prions, we found that Cyc84KtoR-GFP still formed identical inclusions after passaging cells on medium containing guanidinium hydrochloride (GuHCl) (Fig 11B), which is a treatment that suppresses the propagation of some amyloidogenic prion proteins in yeast by inhibiting Hsp104 function [63]. Furthermore, sumoylation-deficient Cyc84KtoR cytoplasmic inclusions did not colocalize with heat-induced Hsp104 inclusions (Fig 11C), supporting the idea that the formation of Cyc84KtoR inclusions is independent of Hsp104 function. These data indicate that transient Cyc84KtoR-GFP inclusions have not achieved an Hsp104-dependent amyloid state during hyperosmotic stress.
Some prionogenic proteins have been found to form non-amyloid cellular inclusions that are independent of Hsp104 function but dependent upon the activity of Hsp70 [64,65]. These studies revealed the importance of Hsp70 by overexpression of a dominant-negative inactive form of Hsp70. Therefore, we induced hyperosmotic stress and examined Cyc84KtoR inclusion formation in cells expressing a dominant-negative inactive version of Hsp70 from a 2 micron plasmid [64,65]. We found that this condition influenced the persistence of Cyc8 inclusions, with the dominant-negative inactive Hsp70 strain exhibiting more pronounced and persistent inclusions at 45 and 60 minutes of hyperosmotic stress (Fig 12A and 12B).
Protein inclusions exist on a spectrum within cells ranging from highly unstable, dynamic structures to extremely stable, static structures such as amyloids [66,67,68]. Although the sumoylation-deficient Cyc84KtoR-GFP inclusions did not form amyloids, we assessed if they could form other stable aggregates using several biochemical approaches, including fractionation of cell lysates to assess insolubility and ultracentrifugation to query for smaller oligomers. In no case could we observe the persistence of stable aggregates that survived the cell lysis procedures used for the biochemical assays. These results suggest that, under the biologically relevant conditions of our experiments in which endogenously expressed sumoylation-deficient Cyc84KtoR transiently forms and then disperses from inclusions in vivo, the inclusions are not stable enough to survive the lysis and analysis conditions often used to assess stable aggregate formation biochemically in vitro. In light of these observations, we think it is important to note that the vast majority of studies examining cellular aggregation/inclusion formation use massive overexpression of the misfolded proteins. This makes analyses much more facile because the overexpressed proteins form relatively stable inclusions that can be assessed for their insolubility/aggregation by bulk biochemical assays. In thinking about lower abundance endogenously expressed proteins, the dynamic view of self-association and aggregation is likely the better way to frame the behavior of aggregation-prone proteins [66,67].
Using a cell biological approach, we wanted to investigate potential drivers of the transient inclusion formation of sumoylation-deficient Cyc8. We hypothesized that the glutamine-rich PrD was involved in the transient formation of Cyc84KtoR inclusions during hyperosmotic stress. The Cyc8 PrD spans residues 441–677 ([53]; Fig 13A and S2A Fig). We deleted the PrD in both wild-type Cyc8 and sumoylation deficient Cyc84KtoR. We then expressed the PrD intact or deleted forms as the only version of Cyc8 in cells, and examined the presence of inclusions at 0, 5, 15, 30 and 60 minutes after initiation of hyperosmotic stress. The number of cells with at least one inclusion at 30 minutes was reduced by ~50% in Cyc8ΔPrD-GFP and Cyc84KtoR, ΔPrD-GFP cells compared with Cyc8-GFP and Cyc84KtoR-GFP cells (Fig 13B and 13C). From these results, we conclude that the Cyc8 PrD is important, but not essential for the formation and persistence of inclusions. Other regions that could participate in the initial stages of sumoylation-deficient Cyc8 inclusion formation include the N-terminal 16-residue polyglutamine tract in Cyc8 (Fig 13A and S2A Fig), the highly disordered C-terminal region of Cyc8 that follows the PrD (S2A Fig), the two glutamine-rich regions in Tup1 (S2B Fig), or the highly disordered N-terminal region of Tup1 that spans residues 100–300 (S2B Fig). Future work will be required to assess the contributions of these different domains on the kinetics of Cyc8 inclusion formation during hyperosmotic stress.
Lastly, we examined the levels of Cyc8 sumoylation with and without an intact PrD. After normalizing to the amount of Cyc8 input protein, we found there was a reduction in Cyc8 sumoylation of ~12 fold when the PrD was deleted (Fig 13D). Furthermore, it appears that the sumoylation laddering is dramatically reduced in Cyc8ΔPrD. Thus, the hyperosmotic stress-dependent sumoylation of Cyc8 is sensitive to the presence of the PrD.
Discussion
In this work, we identified Tup1 and Cyc8 as major proteins that are dynamically sumoylated during hyperosmotic stress. Microarray analyses revealed that loss of Tup1 and Cyc8 sumoylation each conferred distinct outcomes on gene expression. Although we currently don’t understand the function of Tup1 sumoylation, gene expression changes suggest that sumoylation of Tup1 might play a role in regulating expression of telomere-proximal genes during hyperosmotic stress. We find this interesting due to computational evidence that supports a function for Tup1 in regulating telomere-associated gene clusters [69]. Conversely, loss of Cyc8 sumoylation appears to have more widespread expression changes during hyperosmotic stress. Through cell biological experiments, we discovered that Cyc8 sumoylation prevents the persistent formation of Cyc8-Tup1 inclusions after initiation of hyperosmotic stress. Because Cyc8’s prion-forming domain (PrD) is important for hyperosmotic stress-induced inclusion persistence, we propose that sumoylation of Cyc8 acts, in part, as a post-translational factor to prevent the persistence of Cyc8 inclusions during conditions of hyperosmotic stress.
Transcriptional modulation through Cyc8 and Tup1 sumoylation
Previous studies have revealed a role for SUMO in modulating gene induction. Specifically, SUMO has been shown to accumulate at promoters during activation of inducible genes [70]. In addition, reduction of SUMO at inducible promoters correlates with increased transcript levels during gene induction [70]. A recent study demonstrated that loss of Tup1 sumoylation during amino acid starvation results in increased transcription of starvation-responsive genes, stabilization of Tup1’s presence at promoter regions, and enhanced removal of transcription complexes [71]. Here, we found that most of the genes with altered expression in the sumoylation-deficient Tup1K270R mutant showed increased expression during hyperosmotic stress.
We find it interesting that the sumoylation-deficient Cyc84KtoR mutant exhibited increased expression for an even larger, yet distinct set of genes. This raises a few questions. Is there any mechanistic cross talk in the transcriptional effects exerted by sumoylation of Tup1 and Cyc8? Alternatively, are the gene expression effects in the Cyc84KtoR mutant due solely to inclusion formation of the Tup1-Cyc8 complex? We think it is possible that sumoylation of Cyc8 during hyperosmotic stress serves multiple purposes. Transient sumoylation of Cyc8 may act in a canonical manner to alter protein-protein interactions with other transcriptional regulators or machinery. Our data support an additional role for SUMO as a protective factor that prevents persistent inclusion formation of both Tup1 and Cyc8, which would allow for appropriate transcriptional control during hyperosmotic stress.
The possibility that other glutamine-rich proteins are sumoylated during hyperosmotic stress
From the MS analysis in Fig 2, we primarily observed increased sumoylation for Cyc8 and its partner Tup1 during hyperosmotic stress. There are two plausible explanations for why this could be. First, Cyc8 has one of the longest polyglutamine tracts among yeast proteins. Upstream of Cyc8’s long polyglutamine tract is an extended glutamine-alanine repeat tract of 62 residues. Only Cyc8 has the unique combination of a long glutamine-alanine repeat sequence immediately followed by an extensive polyglutamine stretch. This makes it distinct among yeast glutamine-rich proteins. Second, we employed a label-free MS approach to identify proteins with increased sumoylation during hyperosmotic stress. This method may have not detected sumoylation changes in low abundance glutamine-rich proteins. Additional quantitative comparative studies will be needed to reveal the extent of glutamine-rich proteins that are sumoylated, especially those proteins that are lower in abundance than Cyc8.
It was recently reported in a MS study that other transcription-associated proteins in addition to Cyc8 and Tup1 are sumoylated during hyperosmotic stress [13]. Other than Cyc8-Tup1, we did not identify any of the additional reported proteins in our MS analysis (S1 Table). Although our study and the Lewicki et al study appear similar in terms of strains and experimental approach (purification of His6-tagged sumoylated proteins and analysis of abundance changes by peptide (spectral) counts), there are differences in how the experiments were performed. First, we used a yeast strain with the endogenous yeast SMT3 gene modified with the His6-FLAG sequence, which allowed normal expression of the tagged SUMO from the endogenous SMT3 promoter as the only source of SUMO. By contrast, Lewicki et al used a yeast strain with the endogenous SMT3 gene intact but with additional overexpression of the His6-FLAG-SMT3 from the exceptionally strong GAL1 promoter on a high-copy plasmid. It is possible that overexpression of His6-FLAG-SMT3 increased the pool of free SUMO available for sumoylation of other proteins, thus uncovering additional sumoylated proteins. Second, the cell lysis conditions were different between the two studies. The highly denaturing conditions we used (8M urea, 50mM Tris pH 8.0, 0.05% SDS) were selected because we found they robustly disrupt protein-protein and protein-DNA complexes. The conditions used by Lewicki et al might not have been as robust and it is possible that some complexes remained intact during cell lysis and nonsumoylated proteins copurified with sumoylated proteins. Lastly, it is possible that protein amounts and peptide separation prior to analysis by MS led to us identifying fewer proteins in our analysis. We add that, when we applied our statistical analysis to the data from Lewicki et al, Cyc8 and Tup1 were also the major proteins identified by their analysis (our analysis available upon request).
The dynamics and nature of endogenous expression versus overexpression of Cyc8
Prior to our work here, the main pieces of evidence supporting Cyc8 as an inclusion-prone protein were studies that overexpressed C-terminal fragments of Cyc8 containing its glutamine-rich PrD. Overexpression of Cyc8’s PrD fragment induced the [OCT+] prion [35] and led to the formation of detergent-insoluble amyloid inclusions [53]. Notably, the portions of Cyc8 used in those studies lacked the Tup1-interaction region, which we show is necessary for Cyc8 sumoylation (Fig 3C). We find it interesting that overexpression of these sumoylation-deficient forms of Cyc8 leads to the formation of Cyc8’s prion state and SDS-resistant amyloid inclusions.
While we think overexpression studies can be informative about protein misfolding, overexpression of truncated proteins can also force inclusion states that might not normally occur under endogenous expression of full-length proteins. Prior to our studies, it was not clear whether normally expressed full-length Cyc8 had the capacity to form inclusions. Thus, an important finding of our studies is that we discovered an endogenous in vivo transition state of Cyc8 that forms inclusions upon hyperosmotic stress if Cyc8 is not sumoylated. The highly correlated dynamics of Cyc8 sumoylation support a model whereby sumoylation prevents persistent Cyc8 inclusion formation during hyperosmotic stress.
One question that emerges from our studies is why are endogenously expressed full-length Cyc84KtoR inclusions SDS-sensitive and reversible whereas overexpressed truncated Cyc8 PrD inclusions are amyloidogenic and persistent? We think it is important to consider that inclusions formed from proteins via self-association of glutamine-rich regions, or other intrinsically disordered domains, do not always progress into amyloid states [66,67]. An emerging model is that amyloid inclusions represent a solid-phase state that is relatively static in nature, whereas non-amyloid inclusions represent a liquid-phase state that is highly dynamic [66,67]. By this model, inclusions that adopt a liquid-phase state can mature into a solid-phase amyloid state only when conditions are right (e.g. when the concentration of the proteins is sufficiently high or when one of the proteins acquires a mutation increasing its aggregation propensity).
In the case of Cyc8, there could be numerous factors that influence the balance between a liquid-phase and solid-phase state. As discussed above, the level of expression (endogenous expression versus overexpression) and the use of truncated versus full-length forms are important factors that can explain the differences between our study and previous studies [35,53]. In addition, we observed that strains expressing a dominant negative allele of Hsp70 exhibit more persistent sumoylation-deficient Cyc84KtoR inclusions, suggesting that the Hsp70 protein folding machinery can contribute to the dynamic nature of these inclusions. Importantly, another key factor that likely influences the nature of endogenous Cyc84KtoR inclusions is the ability of the cell to adapt to hyperosmotic stress by activating accumulation of intracellular osmolytes and chemical chaperones via the Hog1 pathway. To induce amyloid formation, it is necessary to highly overexpress the Cyc8 PrD for >24hours [53]. By contrast, endogenously expressed Cyc84KtoR forms inclusions only during the ~40 minutes of hyperosmotic stress that occur before the Hog1 pathway allows the cell to fully adapt to the stress. Even in the absence of Hog1 function, cells still adapt to hyperosmotic stress [58], and so it is not surprising that Cyc84KtoR inclusions do resolve in hog1Δ cells (Fig 10C). Overall, the conditions during hyperosmotic stress under which endogenously expressed Cyc84KtoR forms inclusions are transient and likely not of sufficient duration to allow maturation to amyloids. We suspect that, if the proper genetic conditions could be found to completely ablate the cell’s ability to adapt to hyperosmotic stress, endogenous Cyc84KtoR inclusions might progress into an amyloid state. Future studies will be necessary to explore this important physiological aspect of Cyc8 inclusion biology.
Broader implications of sumoylation as a protective solubilizing factor
The high solubility of SUMO and its ability as a fusion protein to promote the solubility of recombinant proteins has led to important biotechnological uses [47,48]. How SUMO is used to promote protein solubility physiologically is an emerging field of study [43,44,45,46]. In fact, a very recent study that parallels ours found that sumoylation altered the prionogenic inclusion formation of CPEB3, an important translation factor involved in synaptic plasticity, allowing it to switch from a translational activator to repressor [72]. Furthermore, many neurodegenerative disorders are causally linked to protein aggregation [73], and SUMO dysregulation is associated with many these disorders [74]. We think that understanding the role of sumoylation as a protective solubilizing factor has important implications, not only for fundamental cellular protein homeostasis, but also for neurodegenerative disease progression.
Materials and Methods
Yeast strains and plasmids
Yeast strains and plasmids used in this study are listed in S3 Table. Standard yeast genetic methods were used for these studies [75]. His6-FLAG-SMT3 strains were generated by integrating a His6-FLAG-SMT3::HIS3MX6 PCR fragment at the endogenous SMT3 locus. Replacement of endogenous SMT3 was confirmed by colony PCR and western analyses for both tagged and untagged Smt3. All gene deletions were verified by colony PCR.
Growth and stress conditions
Cells were grown to a density of ~1.5x107 cells/ml at 30°C in yeast complete (YC) media prior to stress induction. All 0 time point samples were collected before stress induction. For hyperosmotic stress, equal volumes of culture and YC+2.4M sorbitol were combined for a final concentration of 1.2M sorbitol. For heat stress, culture flasks were submerged in a 42°C water bath to rapidly warm the culture and were then moved to shaking platform 42°C incubator. For ethanol stress, equal volumes of culture and YC+20% ethanol were combined for a final concentration of 10% v/v ethanol. Induction of Cyc8441-677 and Rnq1 was performed by growing cells in YC with 3% raffinose to mid-log phase at 30°C to a density of ~2x106 cells/ml, then inducing expression with 3% galactose at 30°C for 24 hours.
Sumoylated protein purification
15ml aliquots of cells were collected at each time point after stress and flash frozen in liquid nitrogen. Harvested cells were lysed by vortexing with glass beads at 4°C in lysis buffer (8M urea, 50mM Tris pH 8.0, 0.05% SDS with 2mM PMSF and 10mM NEM). An aliquot representing 5% of the input was set aside. Cell lysates were incubated with TALON resin (Novagen) overnight at 4°C. The resin was washed 3x with wash buffer (8M urea, 50mM Tris pH 8.0, 200mM NaCl, 0.05% SDS, 5mM imidazole). Sumoylated proteins were eluted from the column by addition of loading buffer (8M urea, 10mM MOPS, 10mM EDTA, 1% SDS, 0.01% bromophenol blue, pH 6.8) and incubation at 65°C for 10 minutes.
Western analyses
Sumoylated proteins were resolved by SDS-PAGE using 4–20% gradient gels. Western analyses were performed with rabbit anti-Smt3 (1:5000, a gift from Xiaolan Zhao), mouse anti-FLAG (1:2500, Sigma), mouse anti-HSV (1:2500, Novagen), mouse anti-HA (1:2500, Sigma), mouse anti-Pgk1 (1:5000, Abcam), or rabbit anti-GFP (1:2500, Sigma).
Mass spectrometry analyses
Sumoylated proteins from cells exposed to 0 or 15 minutes of hyperosmotic stress were enriched by metal affinity chromatography as described above. Samples were run 1 cm into a 4–20% SDS-PAGE gel and slices were excised. Proteins in the gel slices were digested with trypsin and the digestion products were desalted and dried by vacuum centrifugation. Dried peptide mixtures were resuspended in 7μL of 0.1% formic acid. 5μL was analyzed using an LTQ OrbiTrap mass spectrometer (Thermo Scientific). Complete MS methods were performed as previously described [24].
The protein database search algorithm X!Tandem [76] was used to identify peptides from the Saccharomyces Genome Database (http://www.yeastgenome.org). Peptide false discovery rates were measured using Peptide Prophet [77]. Identified peptides were filtered using Peptide Prophet scores of ≥0.55 (~5% error rate). The entire dataset is in S1 Table (whole data (PP≥ 0.55) tab). The significance of the changes in peptide counts between 0 and 15 minutes of hyperosmotic stress was determined by a two-tailed, homoscedastic student’s t-test. Final data was filtered by a p value ≤0.01 and a ≥3-fold change in summed peptide counts, and is shown in S1 Table (≥ 3 fold changes (Fig 2B)).
Microarray analyses
Duplicate biological cultures were grown from isolates of independent transformations. Duplicate cultures (a and b) were grown at 30°C in YC to a density of ~1.75x107 cells/ml and 0, 30, and 60 minute hyperosmotic stress samples were harvested by fast filtration and flash frozen in liquid nitrogen. Total RNA was prepared from the cells by hot acid phenol extraction as described on the Dunham lab website (http://dunham.gs.washington.edu/protocols.shtml). Total RNA was labeled using the Quick Amp RNA labeling kit (Agilent) and Cy3- and Cy5-CTP (GE Healthcare). Labeled RNA was purified with the RNeasy mini kit (Qiagen). Yield and dye incorporation were measured with a Nanodrop spectrophotometer (Thermo Scientific). Cy3- and Cy5-labeled samples were combined to obtain ≥1pmol dye and cRNA in each channel. Labeled cRNA combinations were mixed with blocking agent and fragmentation buffer (Agilent), then incubated at 60°C for 30 minutes in the dark. Hi-RPM hybridization buffer (Agilent) was used to stop the reaction. Samples were hybridized to yeast gene expression 8x15K microarray slides (Agilent) at 65°C overnight. Gasket slides were removed in 6X SSPE/0.005% N-lauroylsarcosine. Array slides were washed 1 minute in 6X SSPE/0.005% N-lauroylsarcosine, 1 minute in 0.6X SSPE/0.005% N-lauroylsarcosine, and 30 seconds in acetonitrile. Data were acquired using an Agilent scanner and feature-extracted and normalized with the Agilent software using default settings. All raw microarray data are available from the Princeton Microarray Database (http://puma.princeton.edu) and the Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) with accession number GSE57476. These data are included in S2 Table.
Average linkage hierarchical clustering was performed with Cluster 3.0 ([78], http://rana.lbl.gov/EisenSoftware.htm), using the similarity metric “Correlation (uncentered)”, and the cluster data were visualized with Java TreeView (http://jtreeview.sourceforge.net/). We observed that one strain (Tup1K270R/Cyc8, biological replicate a) contained a small 18.0 Kb region of aneuploidy from YDR211W-YDR261C, based on increased expression levels across all time points and for all genes within the region. We removed all genes within this region from the analysis. To evaluate experimental variation in sample handling and microarray procedures, we analyzed the distribution of the ratios at each feature of a “wt x wt” array in which wild-type, unstressed replicate samples were cohybridized. The distribution of log2-transformed gene expression ratios was centered at 0 with a standard deviation of 0.22. We used this data to define a threshold for significant gene expression changes of 3 standard deviations from the mean, which corresponded to ±0.65 log2 units, or a 1.57-fold change in gene expression. Mutant effect ratios were determined by subtracting the values of wild-type time points from the corresponding mutant time points (in log2 space).
Fluorescence microscopy
Aliquots of cells at each time point after hyperosmotic stress were removed, fixed in 4% paraformaldehyde solution for 15 minutes at room temperature and then washed with PBS. Cells were imaged on a Nikon Eclipse 90i with a 100X objective, filters for GFP (HC HiSN 0 Shift filter set with excitation wavelength (450–490 nm), dichroic mirror (495 nm), and emission filter (500–550 nm)), and a Photometrics Cool Snap HQ2 cooled CCD camera with NIS-Elements acquisition software.
Confocal microscopy
Confocal 3D images were acquired using a dual point-scanning Nikon A1R-si microscope equipped with a PInano Piezo stage (MCL), using a 60x PlanApo VC oil objective NA 1.40. Calculations of the fluorescence Intensity and Image processing were performed using NIS-Elements software.
Structured illumination microscopy (SIM)
For SIM imaging, cells were grown as described above and seeded on Concanavalin A (Sigma) coated plates, then imaged live in real time with and without hyperosmotic stress. Images were acquired using a Nikon nSIM microscope in 3D mode with a 488nm and 561nm lasers. A 100x oil TIRF objective (NA 1.49) was used for the imaging. Prior to imaging the point-spread function was visualized with 100 nm fluorescence beads in order to adjust the correction ring of the objective to the coverslip thickness. For each super resolution image raw data were examined for the optical grid pattern presence. The final image was reconstructed using NIS-Elements software (Nikon).
Semi-denaturing detergent agarose gel electrophoresis
Cells were grown in YC to a density of ~1.5x107 cells/ml at 30°C. A volume of 15ml was collected for Cyc8-GFP strains and 5ml was collected for galactose-induced strains. All cells were flash frozen on dry ice and ethanol. Cells were lysed by vortexing with glass beads at 4°C in a nondenaturing buffer (100mM Tris pH 7.5, 200mM NaCl, 1mM EDTA, 5% glycerol, 1mM DTT, 1% NP-40, 250U/ml Benzonase nuclease, 1mM MgCl2, 2mM PMSF, and 10mM NEM). Lysates were centrifuged for 2 minutes at 3,000 rpm to pellet unlysed cells, and the supernatant was mixed with 4X SDD-AGE loading buffer (2X TAE, 20% glycerol, 8% SDS, bromophenol blue) and incubated at room temperature for 5 minutes before loading. Samples were run on a 1.5% agarose gel containing 0.1% SDS for 6 hours at 4°C and transferred to nitrocellulose by capillary transfer as previously described [61]. Western blotting was performed with anti-GFP to visualize GFP- and YFP-tagged proteins.
Image processing
All blots were scanned using an Epson Perfection V350 Photo scanner at 300 dpi. All images were processed with a Mac iMac or Pro computer (Apple) using Photoshop CS or CS4 (Adobe).
Supporting Information
Acknowledgments
We thank Maitreya Dunham for discussions about microarray experimental design and analysis, as well as Emily Mitchell, Giang Ong, and Celia Payen in the Dunham lab for technical help and guidance with the microarrays. We are grateful to Dana Miller and Joe Horsman for assistance with qRT-PCR.
Data Availability
All relevant data are within the paper and its Supporting Information files.
Funding Statement
This work was supported by a National Science Foundation Graduate Research Fellowship (MLO), a National Institutes of Health/National Institute of General Medical Sciences training grant 5T32 GM007750 (CMN, BJR, RDJ), a National Institutes of Health/National Institute on Aging grant R01 AG031136 (RGG), an Ellison Medical Foundation New Scholar Award in Aging (RGG), the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC-StG2013 337713 DarkSide starting grant (DK and TA), an Israel Science Foundation Grant ISF 843/11 (DK and TA), a German Israel Foundation Grant GIFI-1201-242.13/2012 (DK); an Israel Health Ministry grant under the framework of E-Rare-2 (DK), a Niedersachsen-Israel Research Program grant (DK), and a grant from the American Federation for Aging Research (DK). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of this manuscript.
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