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Zhanzhi Hu,2,
Dennis J. Thiele,1* and Vishwanath R. Iyer2*
Department of Biological Chemistry, University of Michigan Medical School, Ann Arbor, Michigan 48109-0606,1 Institute for Cellular and Molecular Biology and Section of Molecular Genetics and Microbiology, University of Texas at Austin, Austin, Texas 78712-01592
Received 7 November 2003/ Returned for modification 26 January 2004/ Accepted 15 March 2004
| ABSTRACT |
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| INTRODUCTION |
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While the fundamental structure and function of HSF and the HSEs are conserved from yeasts to humans, there is wide variability in the numbers of HSF genes in nature. The baker's yeast, Saccharomyces cerevisiae, harbors a single HSF essential for cell survival (44, 50). Yeast HSF has both amino-terminal (NTA) and carboxyl-terminal (CTA) trans-activation domains, which are thought to differentially contribute to the activation of specific target genes as well as in the regulation of HSF activity (7, 42). While initial studies suggested that yeast HSF is constitutively trimerized and bound to HSEs (22, 43), subsequent reports have demonstrated that yeast HSF binds constitutively to specific HSEs in the HSP82 gene promoter and in a stress-inducible manner to other HSEs within this promoter (10, 13, 40). In contrast, although Drosophila melanogaster encodes a single HSF, this gene has been shown to be dispensable for cell growth and viability but essential for oogenesis, early larval development, and survival in response to acute stress (23).
Plants and mammals harbor multiple genes encoding HSF isoforms, with Arabidopsis thaliana possessing 21 distinct HSF genes and mammals possessing three genes encoding the HSF isoforms HSF1, HSF2, and HSF4 (34, 36). Targeted-deletion studies of the stress-responsive mouse HSF1 gene demonstrate that, while HSF1 is not essential for viability, it is essential for both basal and stress activation of heat shock protein (Hsp) gene expression, normal growth, extraembryonic development, inflammatory responses, fertility, and resistance to stress-induced apoptosis (9, 31, 53). Recent studies of Caenorhabditis elegans have demonstrated that a reduction in HSF activity shortens life span while HSF overexpression extends life span (11, 19). These and other studies strongly suggest that specific HSF target genes promote longevity (49).
Given the essential nature of yeast HSF and the range of phenotypes of HSF-knockout flies, worms, and mice affecting normal growth and development, stress resistance, and aging, the constellation of HSF target genes is likely to encompass additional, nonclassical Hsp genes. Furthermore, given the molecular events that accompany cellular responses to both chronic and acute stress, these adaptive responses are likely to invoke changes in the expression of a number of genes. However, only a small group of direct HSF target genes have been identified, which largely comprise the Hsp protein chaperones such as Hsp70, Hsp90, and the small Hsps (4, 35, 47). To begin to understand the precise molecular responses to stress and the central role played by HSF, we have used chromatin immunoprecipitation (ChIP) combined with DNA microarray approaches to identify virtually all of the direct target genes bound by S. cerevisiae HSF in vivo. Contrary to previous assumptions, these studies revealed that HSF is stress-inducibly bound to the majority of its targets. Newly identified HSF targets represent nearly 3% of the genome, and the diversity of their functions supports a central and broad role for HSF in orchestrating the multitude of cellular reprogramming events that occur in response to the stress of normal cell growth and as a consequence of acute stress. Furthermore, the identification of direct HSF target genes in yeast provides a simple model system to identify HSF and stress-responsive genes that may function in aging and disease.
| MATERIALS AND METHODS |
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ChIP, microarray hybridization, and data analysis. Yeast cells were grown in yeast extract-peptone-dextrose medium to an A600 of 0.7 at 30°C, and proteins were cross-linked to their DNA binding sites by adding formaldehyde to the cultures before heat shock for the time zero point or at indicated time intervals after heat shock at 39 or 42°C. For the time course experiment shown in Fig. 2B, formaldehyde was added to aliquots of the cultures at the indicated time intervals after heat shock. HSF-cross-linked DNA was isolated, sheared, and immunoprecipitated using anti-HSF antibody (a gift of David Gross) and purified after reversal of the cross-linking as described previously (21). The immunoprecipitated DNA and control DNA from the whole-cell extracts were amplified by PCR and fluorescently labeled with the Cy5 and Cy3 fluorophores, respectively, according to published protocols (20). Fluorescently labeled probes were cohybridized to a DNA microarray containing all of the intergenic and predicted coding regions of the yeast genome manufactured as described previously (21). The resulting microarrays were scanned with the GenePix 4000B scanner (Axon Instruments) and quantitated with GenePix 4.0 software. Data were uploaded into a relational database and filtered to pass minimum quality control thresholds before subsequent analysis of genomic enrichment (25).
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| RESULTS |
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Of all loci evaluated, 210 loci representing sequences upstream of 165 distinct open reading frames had enrichment values above this threshold (Fig. 2A) (supplemental data; see http://www.iyerlab.org/hsf for a complete list of targets). When a binding locus occurred between two divergently transcribed genes, either one or both of the downstream targets were designated as a putative target, depending on their expression profile during heat shock. Of the 210 target loci 146 were intergenic regions and an overwhelming majority of these (140, or 96%) were upstream of open reading frames rather than intergenic regions that are not upstream of any open reading frame. The enrichment of heat shock-induced genes in this group of loci is significantly higher than would be expected if enrichment were uncorrelated with heat shock expression (P = 1.3 x 1033).
The conclusion that this analysis has identified direct in vivo targets of S. cerevisiae HSF is supported by the following observations, which will be further discussed in detail below. First, the putative in vivo binding sites that we identified by ChIP microarray analysis are highly enriched for sequences matching or closely related to the defined HSF DNA binding site HSE that is conserved from yeasts to humans (51). Second, the majority of genes downstream of the putative HSF binding sites displayed heat-inducible expression according to published microarray data sets (12). Third, putative target genes with known functions in the stress response, such as protein chaperones, are highly enriched in this analysis. However, it is possible that we have misidentified some genes as putative HSF targets and failed to identify some true HSF direct targets. For example, HSF may activate some genes only under a specific set of conditions; may repress the expression of other genes, as has been proposed for mammalian HSF1 (54); or may bind to specific chromosomal HSE sites without engaging in the regulation of transcription. It has also been reported that HSF binding is influenced by the yeast cell cycle (48), and our experiments were performed on asynchronous cell cultures.
Regulation of HSF DNA binding activity. The stress-responsive HSF isoforms of flies and mammals exist in unstressed cells as a monomer which in response to stress is converted to homotrimers that bind HSEs with high affinity and accumulate in the nucleus (32). Early experiments with S. cerevisiae HSF suggested that HSF binds constitutively to target gene promoters, even in the absence of heat shock (22, 43). However, in vivo footprinting and ChIP studies with the HSP82 promoter demonstrated heat-inducible and cooperative binding of S. cerevisiae HSF to weaker HSEs, as well as constitutive binding to another, stronger HSE (10, 13). Our genomic data from 34 independent ChIP experiments showed a marked increase in the binding of S. cerevisiae HSF to a large subset of its target promoters after heat shock in vivo compared to that for cells grown at 30°C (Fig. 2A). Although HSF appears to bind many of its strongest target promoters equally well at 30°C and after heat shock, other prominent target loci such as the promoters of the SSA3 and HSP30 genes showed clear heat-inducible binding. This is the first evidence demonstrating that, similarly to higher eukaryotic cells, S. cerevisiae HSF binds to many of its targets in a heat-regulated manner in a much broader way than previously appreciated. Putative target loci that showed larger binding differences (between 30°C and heat shock temperatures) tended to show slightly lower enrichment than did the loci which showed smaller binding differences; however, our independent IP experiments indicate that the heat-inducible binding is remarkably consistent, even for targets with low enrichment (Fig. 2A).
To further investigate the broad utilization of stress-induced HSF target binding, we analyzed the kinetics of HSF binding to the 210 target loci in vivo through a time course of ChIP-DNA microarray experiments. While at 30°C HSF was bound to several targets constitutively, many targets were bound at a low level; binding increased rapidly after heat shock, with maximal binding occurring approximately 5 to 15 min after heat shock depending on the target sites and diminishing at later time points (Fig. 2B) (supplemental data). The difference in the binding of HSF to its targets at low and high temperatures was more readily apparent in this time course experiment than was observed in Fig. 2A. This is likely due to the fact that maximal binding occurs between 5 and 15 min after heat shock while all the other 34 experiments analyzed binding 20 min after heat shock, when binding levels are reduced relative to the peak. These results suggest that there is a significant increase in HSF binding to even the most consistently strong target loci upon heat shock. The apparent increase in DNA binding affinity could be due to both stress activation of HSF binding and a stress-inducible increase in the stability of prebound HSF.
This transient binding profile was independently verified by PCR with primer pairs specific for newly identified HSF target gene promoters as well as previously known HSF targets with the same immunoprecipitated samples (Fig. 3A). Although the microarray data in Fig. 2B were generated from one representative set of experiments, several repeats of the time course IP experiments showed reproducible trends of heat-inducible binding of HSF to specific targets when HSF binding was detected by PCR. These data demonstrated that specific genes such as SSA1 and HSP82 exhibited constitutive HSF binding that was slightly but transiently elevated in response to heat shock over the 60-min period of the experiment. Other HSF targets (for example, SSA3 and ZPR1) displayed robust and transient induction of HSF binding in response to heat shock. These binding profiles strongly parallel the transient mRNA expression profiles of the HSF target genes upon heat shock (Fig. 3B). For example, the mRNA levels of some chaperone genes such as SSA1 and HSP82 were maintained at high levels until 60 min after heat shock, consistent with the continued binding of HSF to their promoters over this time course, while SSA3 mRNA induction upon heat shock was delayed compared with that of other targets, reflecting the observed delayed binding of HSF to the SSA3 promoter.
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Expression profiles of HSF targets. To further investigate the relationship between the DNA binding activity of the S. cerevisiae HSF and transcriptional regulation of its corresponding binding targets, we examined the expression profiles of all HSF target genes within a previously published data set that measured changes in mRNA expression levels in response to heat shock and other environmental stresses (12). The data in Fig. 4 are from an S288C derivative. Although different strain backgrounds can potentially have different responses to stress, we note that in vivo binding of HSF and heat shock induction profiles are well correlated between W303 strains used in this study and an S288C derivative BY4741 strain (data not shown). The majority (77%) of the mRNAs representing putative HSF targets, identified by ChIP-DNA microarray experiments here, were rapidly and transiently induced by a factor of at least twofold during heat shock from 25 to 37°C, as evidenced by their expression profiles in two independent experiments (Fig. 4) (supplemental data). Ninety percent of the putative targets were induced by a factor of at least 1.5-fold. The set of target genes was also induced by variable temperature shocks. When cells were shifted from high to low temperature (a reversal of the heat shock), the putative targets were strongly down-regulated. This correlation suggests that the transcriptional response of the putative HSF target promoters to heat shock is mediated by HSF binding to these promoters. Interestingly, most of the putative HSF targets also showed induction by other stresses in addition to heat shock. The targets were transcriptionally induced by treatment with the sulfhydryl oxidant diamide and during the transition to stationary phase. A smaller subset of the targets were induced, to slightly lower overall levels, by depletion of nitrogen sources and the diauxic shift. However, induction of the putative HSF targets does not reflect a generalized stress response, as indicated by the lack of appreciable induction of these targets following treatment with the oxidizing agent hydrogen peroxide.
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MDscan failed to identify the canonical HSE in any of the top 10 motifs overrepresented in group II. Instead, an HSE-like sequence containing a TTC motif as well as an STRE (stress-responsive element, 5'-AGGGG-3')-like motif (30, 39) was identified (supplemental data). While the consensus HSE has inverted repeats of the TTC/GAA motif with fixed spacing, the variant identified here has perfect repeats of TTC with variable spacing. The exact spacing of the 5'-nTTCn-3' inverted repeat in HSE has recently been found to be flexible for both the CUP1 and MDJ1 promoters (37, 45), and a TTC-rich sequence was also discovered in the HSP82 and HSP104 promoters (10, 14). These findings suggest that the TTC-rich sequence could be a less conserved variant of the canonical HSE which could be bound by HSF in a heat-inducible manner or also in response to other stresses. The STRE is the binding site for the transcriptional activators Msn2 and Msn4, which bind to the STRE following a variety of stresses such as heat shock and nutrient depletion and activate the transcription of downstream stress response genes (30). It is possible that the novel motif present in the group II subset of HSF target promoters is a variant of the STRE and contributes to the induction of these promoters through binding by Msn2-Msn4. Indeed, Fig. 4 shows that, in strains lacking Msn2 and Msn4, the heat shock induction of the group II targets is in general reduced, whereas the group I target genes are relatively unaffected (P = 2.65 x 105).
Validation of HSF binding data. We performed additional promoter-specific PCR to independently validate our microarray results for the binding of HSF (or its lack thereof) to different classes of promoters. The results of these validation experiments are shown in Fig. 5. We could thus verify the binding of HSF in a heat shock-dependent manner to promoters that lacked a consensus HSE (ICY2, CTH1, and EDC2 in Fig. 3A and all the genes in Fig. 5B). We also verified the binding of HSF to several target promoters that contained a consensus HSE (the remaining genes in Fig. 3A and all the genes in Fig. 5A), as well the lack of binding of HSF to promoters that were not identified as targets by microarray analysis, even when those promoters contained a consensus HSE (Fig. 5C). Although an HSE is known to be important for HSF binding, its presence is clearly not the sole determinant of whether a promoter is bound and activated by HSF. We also verified the binding of HSF to the promoters of the small number of genes that were not induced by heat shock. ILV2 and ATC1 lack a consensus HSE, while ICS2 and BSC5 contain a consensus HSE; all four promoters were identified as targets by microarrays and validated by promoter-specific PCR (Fig. 5A and B), and none of them were appreciably induced by heat shock (see supplemental data for expression levels).
The constellation of yeast HSF target genes. HSF proteins and their cognate HSEs are fundamentally conserved in their structure and function from baker's yeast to humans. Indeed, previous studies have demonstrated that both mammalian HSF1 and HSF2 can rescue the viability defect of S. cerevisiae cells lacking endogenous yeast HSF (28). Given the tools available in S. cerevisiae, this is an ideal system to begin to decipher the biological role of HSF through the identification of virtually all of the direct HSF target genes. Our results revealed approximately 165 genes directly bound by HSF, approaching nearly 3% of the total genes in yeast. The products of many of these HSF target genes are known or predicted to function in a wide range of cellular processes. These include protein chaperone functions, ubiquitination and proteolysis, vesicular transport, maintenance of the cell wall and cytoskeleton, small molecule transport, carbohydrate metabolism, energy generation, signal transduction, and oxidative stress defense mechanisms (Fig. 6) (see Discussion and supplemental data).
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| DISCUSSION |
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The in vivo genome-wide binding distribution of HSF in baker's yeast described here has revealed novel aspects of HSF function. First, we have identified dozens of new direct downstream transcriptional targets of this important and highly conserved transcriptional regulator, suggesting a much broader and central role for HSF in the physiological response to heat shock and other stresses. Second, we found that the binding of HSF to a large subset of its target promoters in yeast is markedly induced by heat shock. This study thus permits a dissection of the precise role and contribution of a single transcriptional regulator to the global transcriptional and metabolic reprogramming that is common to all cells in response to stress. The transcript levels for a small number of HSF target genes that we have identified here (approximately 7%) appear to be either unchanged or lower after heat shock. It is therefore possible that, in addition to its predominant role in activating genes after heat shock, HSF binding to some promoters is transcriptionally neutral or even mediates repression during heat shock. The physiological significance of this is not clear at present, but a repressor function for HSF has been described earlier in the case of mammalian HSF (5, 41). Alternatively, HSF binding at these promoters could affect transcription under other physiological conditions not examined here.
Heat shock-induced binding of the S. cerevisiae HSF. It is currently thought that, although yeast HSF is similar in its fundamental structure to metazoan HSF and binds to a similar cis-acting HSE site, it is distinguished by the fact that it binds to its target promoters equally well under control or heat shock conditions. The transcriptional activation function of yeast HSF is believed to be predominantly at the level of a post-DNA binding event, perhaps phosphorylation or another, as yet uncharacterized modification or interaction. Our results indicate that yeast HSF binds with higher affinity to a significant fraction of its target promoters following heat shock, similarly to its metazoan counterparts, underscoring the evolutionary and functional conservation of this stress-responsive transcription factor. While the heat-dependent increase in binding of mammalian HSF1 to its cognate targets is the result of a stress-inducible monomer to homotrimer transition and subsequent nuclear accumulation, currently there is no evidence that a similar mechanism may be responsible for the heat-inducible binding of HSF in S. cerevisiae.
While this work was in progress, an independent large-scale study used a similar ChIP-microarray approach to identify the binding targets of a large number of epitope-tagged transcription factors in yeast, including HSF, but only in cells grown under non-heat shock conditions (26). Of the HSF binding loci identified in that study, 31 of 35 were also selected as targets in our work; however, our studies, using ChIP-microarray analysis to determine binding targets of the native HSF protein in control as well as heat-shocked cells, have identified approximately three times the number of HSF target genes (supplemental data). Therefore, it is likely that the heat shock induction of HSF binding has revealed HSF targets both that are constitutively bound and for whom HSF is strongly heat-inducibly bound. Although only 46% of the targets that we identified have a consensus HSE in their upstream regions, there is a significant enrichment for HSE-containing promoters in the target set. At the promoters lacking a consensus HSE, it is possible that HSF binds to nonconsensus sites, perhaps in conjunction with other factors.
Regulation of HSF targets by other environmental stresses. Many of the HSF direct targets belong to the class of general stress response genes that are activated in response to multiple stresses, implying that a subset of HSF targets are coregulated by Msn2-Msn4 as previously observed for HSP104 and HSP26 (2, 14). Most of the HSF targets show induction by diamide, transition to the stationary phase, and depletion of nitrogen or carbon sources, as well as by heat shock. This might reflect coregulation of HSF targets with other regulators specific for these stresses and/or activation of HSF by these multiple stresses. Stresses other than heat shock can activate HSF either by a mechanism similar to heat shock or by distinct signal transduction pathways. In the case of diamide, which can induce protein misfolding by disulfide bond formation, this stress could trigger effects similar to those caused by heat shock to activate HSF.
It has been shown that CUP1 is activated by HSF under glucose starvation conditions in an Snf1 kinase-dependent manner, whereas the heat shock induction of CUP1 is independent of Snf1 (46). In addition, HSP26 induction by carbon source starvation has been shown to be dependent on HSF as well as Msn2-Msn4 (2). We have recently shown that Snf1 is involved in the phosphorylation of HSF under glucose starvation conditions, followed by activation of a subset of HSF targets (16). Therefore, it is possible that different stresses may activate HSF through signal transduction pathways distinct from heat shock activation.
Roles of HSF targets. Identification of novel targets of HSF revealed more diverse roles for HSF than previously established. Based on known or predicted functions of homologous proteins, HSF targets are involved in many aspects of cellular function during the stress of normal cell proliferation, in protecting cells from thermal damage and other stresses, and in metabolic and regulatory reprogramming to allow cells to adapt to new environmental conditions. The broad and important functions associated with HSF direct target genes underscore the essential roles for HSF both under normal cell growth conditions and in response to acute stressful conditions. Given the roles of mammalian HSF1 in normal cell growth and development and in the stress response (8, 31, 53, 55), it will be important to ascertain if mammalian HSF1 has a similar broad range of targets that have been identified here for yeast HSF. Furthermore, given the established role of C. elegans HSF as an important determinant of life span (11, 19), the genome-wide identification of yeast HSF targets may provide a framework for the identification of genes directly involved in aging. For example, one HSF target identified here, PNC1, encodes an enzyme that deaminates nicotinamide, is induced by heat stress and glucose starvation, and has been shown to be necessary and sufficient for yeast life span extension by caloric restriction and low-intensity stress (3). ZK1290.5, a C. elegans gene known to be induced upon heat shock, has been identified as an aldo-keto reductase (15), as is GRE3, an HSF target identified here. It is possible that other yeast HSF targets identified in this study will provide important insights into genes that function in stress-related disease states and in aging.
| ACKNOWLEDGMENTS |
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This work was supported by a grant from the National Institutes of Health (GM59911) to D.J.T. Work in the lab of V.R.I. is supported in part by grants from the NIH (AA13518) and from the Texas Higher Education Coordinating Board.
| FOOTNOTES |
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J.-S.H. and Z.H. contributed equally to the work. ![]()
Present address: Department of Pharmacology and Cancer Biology and the Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27710. ![]()
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