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Vol. 18, Issue 8, 2779-2794, August 2007
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*Section of Molecular and Cellular Biology, College of Biological Sciences, University of California, Davis, Davis, CA 95616; and
Department of Cell Biology, The Scripps Research Institute, La Jolla, CA 92037
Submitted March 26, 2007;
Revised May 1, 2007;
Accepted May 7, 2007
Monitoring Editor: Reid Gilmore
| ABSTRACT |
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| INTRODUCTION |
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Independently of its role in TORC1, Tor2p also assembles with an overlapping yet distinct set of proteins to form TORC2 (Loewith et al., 2002
; Wedaman et al., 2003
; Wullschleger et al., 2006
), which plays a role in polarized cell growth and actin cytoskeletal organization (Loewith et al., 2002
; Wullschleger et al., 2006
). This Tor2p-unique activity involves signaling to components required for proper remodeling of actin, in the form of cortical patches, at the site of bud emergence (Schmidt et al., 1996
; Schmidt et al., 1997
; Helliwell et al., 1998
; Crespo and Hall, 2002
). These components include the Rho1p GTPase and its associated regulatory partners Rom2p and Sac7p, which function in part by signaling to protein kinase C (Pkc1p), an upstream activator of the mitogen-activated protein kinase (MAPK) Slt2p/Mpk1p (Helliwell et al., 1998
; Pruyne and Bretscher, 2000
; Crespo and Hall, 2002
). More recently, the AGC kinase Ypk2p and two novel effectors, Slm1p and Slm2p, have been identified that also function downstream of TORC2 and that are required for proper actin polarization and cell viability (Audhya et al., 2004
; Kamada et al., 2005
). In addition, TORC2 has now been linked to a number of other cellular processes, including receptor-mediated endocytosis, phosphoinositide signaling, and calcineurin regulation as well as cell integrity maintenance (Schmelzle et al., 2002
; deHart et al., 2003
; Levin, 2005
; Mulet et al., 2006
; Tabuchi et al., 2006
). Whether each of these different processes are linked to TORC2 via the Rho1p GTPase module and/or the newly discovered Slm proteins has not been determined. Interestingly, rapamycin treatment and/or inhibition of the Tap42p/Sit4p phosphatase system has also been shown to affect both actin polarization as well as cell integrity signaling, suggesting an unexpected degree of overlap with respect to functions carried out by TORC1 versus TORC2 (Torres et al., 2002
; Wang and Jiang, 2003
). In this regard, a recent chemical genetic screen has identified a large number of yeast gene deletion mutants that possess altered sensitivities to rapamycin (Xie et al., 2005
). Intriguingly, mutants identified in this study represent several processes that have not been so far linked to TORC1 (Xie et al., 2005
). Thus, the scope of cellular activities influenced by TORC1, although already extensive, could be even greater than is presently recognized.
Another important unresolved question concerns the site(s) of action of TORC1 and TORC2 within the cell. Previous studies have shown, using a variety of experimental approaches, that a significant portion of Tor1p and Tor2p are associated with an internal set of membranes that are adjacent to, yet apparently distinct from, the plasma membrane (Cardenas and Heitman, 1995
; Kunz et al., 2000
; Wedaman et al., 2003
). In particular, using immunoelectron microscopy, we have localized both Tor1p and Tor2p as well as their common binding partner Lst8p to an intracellular membrane population that, at the ultrastructural level, closely resembles characteristic tracks and/or tubules that have been attributed to membranes of the endocytic pathway (Wedaman et al., 2003
). By contrast, two components specific to TORC1, Tco89p and Kog1p, are also localized to vacuolar membranes, suggesting a more complex intracellular distribution of TORC1 components (Huh et al., 2003
; Reinke et al., 2004
; Araki et al., 2005
). Moreover, it has recently been reported that a portion of Tor1p is localized within the nucleus where it specifically regulates 35S rDNA expression (Li et al., 2006
). Thus, a full description of the intracellular environment(s) of the TOR kinases and their partners remains an important goal, and it is likely to be essential for a complete understanding of the functions of TORC1 and TORC2.
Here, we report findings that bear on several of these issues by characterizing further the membrane environment of TOR. We find that Tor1p and Tor2p associate with a novel form of detergent-resistant membranes that are enriched for proteins involved in actin cytoskeleton organization as well as endocytosis. Genetic analyses reveal a remarkable number of functional interactions between these proteins and components of TORC1; moreover, we demonstrate that, in addition to previously described effects on actin depolarization, rapamycin treatment severely impairs fluid phase endocytosis. Combining our genetic analyses with database mining, we constructed a network of functional interactions that identifies cellular pathways that are likely to be influenced by both TORC1 and actin/endocytosis-related components. This systems-based approach allowed us to establish a novel connection between TORC1 and a number of additional genes involved in vesicular trafficking.
| MATERIALS AND METHODS |
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Triton X-100 (TX-100) Supernatant/Pellet Assay
For each strain tested, 320 ml of cells was grown overnight at 30°C to 0.5 OD600/ml in YPD (160 OD cells). Cells were pelleted in 50-ml conical tubes, washed in H2O, pelleted again, and resuspended at 40 OD cells/ml in TNE buffer (50 mM Tris-HCl, pH 7.4, 150 mM NaCl, and 5 mM EDTA) containing protease inhibitors (cocktail tablet; Roche Diagnostics) and 1 mM phenylmethylsulfonyl fluoride (PMSF). Yeast cells were lysed by bead beating for 2 min. The lysates were cleared by centrifugation at 500 x g, for 5 min at 4°C. Cleared lysates were then spun at 20,000 x g for 20 min at 4°C, yielding
2 ml of supernatant to be used for detergent treatment. After Bradford assays, the resulting supernatants were divided into 500-µl aliquots and treated 1:1 with TNE, TNE 1% Triton X-100, or TNE 1% Triton X-100 and 1 M NaCl (final concentrations). Samples were incubated on ice for 30 min during which time they were passed through a Hamilton syringe two times. Samples were spun at 100,000 x g for 1 h at 4°C. Supernatants were collected and trichloroacetic acid (TCA) precipitated, dried, and resuspended in 100 µl of sample buffer. Pellets were resuspended in 100 µl of sample buffer. Supernatants and pellets were analyzed by SDS-polyacrylamide gel electrophoresis followed by Western blot analysis.
OptiPrep Floatation Assay
OptiPrep floatation gradients and isolation of the Triton X-100–insoluble membranes were performed essentially as described previously (Bagnat et al., 2000
) with minor modifications. Briefly, yeast cells were lysed by vortexing with glass beads in TNE buffer (50 mM Tris-HCl, pH 7.4, 150 mM NaCl, and 5 mM EDTA) supplied with protease inhibitors tablet (Roche Applied Science, Indianapolis, IN) and 1 mM PMSF (Sigma-Aldrich). The lysates were cleared by centrifugation at 500 x g for 5 min at 4°C, but they were not subjected to the 20,000 x g centrifugation step described for the Triton X-100 supernatant/pellet assay. Cleared lysates were incubated either with 1% TX-100 or with an equal volume of TNEX buffer (50 mM Tris-HCl, pH 7.4, 150 mM NaCl, 5 mM EDTA, and 0.1% Triton X-100) for 30 min on ice. The lysates were adjusted to 40% OptiPrep (Nycomed, Oslo, Norway), and 4.2 ml of resulting mixture was sequentially overlaid with 6.7 ml of 30% OptiPrep in TNEX buffer and 1.1 ml of TNEX buffer. The samples were centrifuged at 100,000 x g in SW41 Ti rotor for 2.5 h, and 1.2-ml fractions were collected from the top of the gradient and subjected to Western blot analysis.
Proteomic Analysis
TX-100–treated cell extracts were subjected to OptiPrep gradient as described above, and equivalent groups of fractions, corresponding to 0, 30, and 40% of OptiPrep, collected from four sets of the identical gradients, were combined. TOR-containing (30% OptiPrep) and plasma membrane raft (0% OptiPrep) fractions were repeatedly subjected to incubation with 1% TX-100 followed by floatation on an OptiPrep gradient as described above. Proteins from fractions corresponding to 0–30% OptiPrep of the second gradient as well as those corresponding to 40% of the first gradient were TCA precipitated and identified by tandem mass spectrometry as described previously (Carroll et al., 1998
; Link et al., 1999
).
Fluorescence Microscopy
Rhodamine-phalloidin staining of polymerized actin was performed as described previously (Pringle et al., 1989
). For quantification of cells with depolarized actin cytoskeleton,
100 small-budded or midsize-budded cells were counted for each condition. Cells were considered as having depolarized actin patches if six or more patches were found within the mother cell. Lucifer yellow uptake assay was performed essentially as described previously (Dulic et al., 1991
). Fluorescence microscopy was performed using Nikon E600 fluorescence microscope and Orca-ER charge-coupled device camera (Hamamatsu, Bridgewater, NJ) controlled by Simple PCI software (Compix, Cranberry, PA). All actin-staining images are z-series projections of optical sections.
Ste3-HA Endocytosis Assay
Monitoring of Ste3p-HA endocytosis was performed as described previously (Walther et al., 2006
). Samples were diluted to give equal protein concentration determined using bicinchoninic acid assay and analyzed by SDS-polyacrylamide gel electrophoresis (PAGE) and Western blotting using anti-HA antibody.
CPY Trafficking Assay
Metabolic cell labeling and immunoprecipitations were performed essentially as described previously (Vashist et al., 2001
). Briefly, 12 A600 OD units of early log phase cells were harvested and resuspended in 3.6 ml of SCD medium lacking methionine and cysteine. After 30 min of incubation at 30°C, cells were labeled with 500 µCi of [35S]methionine/cysteine (Promix; GE Healthcare), and chase was initiated by adding cold solution of methionine and cysteine (2 mM each in a final concentration) and terminated by the addition trichloroacetic acid to 10%. CPY was immunoprecipitated from cell lysates with the mAb specific to CPY and resolved by 8.5% SDS-PAGE. Quantification of CPY band images was performed using ImageQuant 5.0 software (GE Healthcare).
Subcellular Fractionation of Spheroplasts: Sorbitol Overlay Assay
Conversion of 250 OD cells to spheroplasts and cell lysis were performed as described previously (Harsay and Bretscher, 1995
; Harsay and Schekman, 2002
; Nunnari et al., 2002
). For sorbitol density gradient centrifugation, 1 ml of cleared extract was overlaid directly onto sorbitol step gradients prepared in 12.5-ml tubes (SW41; Beckman Coulter, Fullerton, CA) as follows: 1 ml, 80%; 2 ml, 70%; 2 ml, 60%; 2 ml, 50%; 2 ml, 40%, and 1 ml, 30% sorbitol/1x YEB. The gradients were spun for 40 h at 200,000 x g, and 0.5-ml fractions were collected from the top. A portion of the material collected from each of the fractions was analyzed by SDS-PAGE and Western blot analysis.
| RESULTS |
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Sphingolipids are important for the formation and integrity of yeast DRMs (Simons and Vaz, 2004
). Accordingly, we asked whether the TX-100-resistant behavior of Tor1p and Tor2p was altered in extracts prepared from a strain deleted for FEN1, which encodes fatty acid elongase required for normal levels of sphingolipids that contain very long chain fatty acids (Oh et al., 1997
; Kohlwein et al., 2001
; Obeid et al., 2002
). We were particularly interested in comparing the behavior of the Tor proteins to Chs3p, which displayed an overlapping profile on OptiPrep gradients in the absence of TX-100 treatment (Figure 2A). We observed that the TX-100–resistant behavior of Chs3p was abolished in extracts prepared from a fen1
mutant (Figure 2C). By contrast, a significant amount of both Tor1p and Tor2p continued to float on OptiPrep gradients in detergent-treated extracts prepared from this mutant (Figure 2C), confirming the unique behavior of TOR-DRMs.
Proteomic Analysis of PM- and TOR-DRMs
To further characterize TOR-DRMs, we took advantage of its unique floatation profile after TX-100 treatment to isolate and identify cofractionating proteins in the upper 30% OptiPrep fractions using tandem MS/MS spectrometry (see Materials and Methods). For comparison, we also analyzed in parallel the protein composition of PM-DRMs from 0% OptiPrep fractions. Remarkably, the majority of proteins identified by mass spectrometry uniquely within PM-DRM fractions corresponded to known plasma membrane proteins, including a number of proteins that have previously been shown to reside in DRMs, such as Pma1p, Nce101p/Nce2p, Gas1p (Bagnat et al., 2000
), and Sur7p (Malinska et al., 2004
) as well as glycosylphosphatidylinositol-anchored proteins Ecm33p and Utr2p (Table 2).
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From among the 60 heterozygous diploids strains examined, 10 synthetic lethal and eight synthetic slow-growth interactions were detected (summarized in Figure 3A). An example of both of these types of interactions is shown in Figure 3B, where simultaneous deletion of SLA2 and TOR1 results in synthetic lethality, whereas deletion of SLA2 and TCO89 results in a synthetic slow-growth phenotype. Some form of synthetic interaction was observed between one or more TORC1 or TORC2 components, and eight of the 10 genes tested from Table 3 (no detectable synthetic interactions were observed for RVS161 or SRO7). Four genes displayed synthetic interactions with both TORC1 as well as TORC2 components, whereas four genes displayed synthetic interactions exclusively with TORC1 components (Figure 3A). We note that the total number of interactions observed was significantly higher than predicted estimates of the total density of SSL interactions in the yeast genome (
1:200; Tong et al., 2004
), suggesting our proteomics approach led to an enrichment of gene products that interact functionally with TORC1 and TORC2.
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Given these results, we next wanted to ask whether there was a continued requirement for TOR once the actin cytoskeleton became repolarized after incubation in glucose-free media. We therefore starved cells for glucose for 120 min, followed by incubation for an additional 30 min either in the absence or presence of rapamycin (Figure 5B). We observed that the effect of rapamycin on actin depolarization was significantly attenuated, in comparison with an identical time of drug treatment of cells grown in YPD (Figure 5B, right). Thus, we conclude from these results that once actin becomes repolarized after glucose starvation, a requirement for TOR is much less critical for maintenance of polarity.
TORC1 Influences a Late Step of Endocytosis
Many of the genes that displayed SSL interactions with TORC1 components (Figure 3) have also been identified as being involved in receptor-mediated endocytosis (Kubler and Riezman, 1993
; Wendland et al., 1996
; Penalver et al., 1997
; Wesp et al., 1997
; deHart et al., 2003
). We therefore examined the effect of rapamycin on the internalization of HA-epitope–tagged, GAL-regulated Ste3p, by using a galactose shut-off assay in conjunction with Western blot analysis to monitor protein turnover after internalization (Walther et al., 2006
). No significant differences were observed in the rates of internalization within rapamycin-treated versus untreated cells, as judged by the disappearance of full-length Ste3p-HA after transfer of cells from galactose- to glucose-containing media (Figure 6A). This result is consistent with previous observations that rapamycin treatment does not impair
factor internalization (deHart et al., 2003
). However, we did observe a reproducible accumulation of faster mobility species of Ste3p-HA in rapamycin-treated cells (Figure 6A, top right, denoted by asterisks). These species most likely correspond to C-terminal fragments of Ste3p that have been observed previously to accumulate in mutants impaired for delivery of Ste3p to the vacuolar lumen (Chen and Davis, 2002
; Shaw et al., 2003
). As expected, appearance of these faster mobility intermediates required internalization of Ste3p-HA, because they did not occur in rapamycin-treated sla2
cells, where uptake of Ste3p is greatly diminished (Figure 6A).
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A genetic Network for TORC1 and Actin/Endocytosis Genes
Given our results described above, we sought to gain additional insight into the scope of cellular processes potentially influenced by both TORC1 and actin patch/endocytosis-related components. We explored a number of different approaches for meta-analysis, and we surveyed several interaction data sets available through the Saccharomyces Genome Database (SGD), and ultimately we devised the following regime to construct a network of genetic interactions (Figure 7). First, we defined our SSL interactions, described above, as LEVEL 1 of this network (Figure 7A) (Supplemental Table 2). Next, we identified through SGD 26 genes that display SSL interactions with at least two LEVEL 1 components and we defined these collectively as LEVEL 2 (Figure 7, B and C) (Supplemental Table 2). Not surprisingly, this list was enriched for genes implicated in actin organization (Figure 7C). We next identified through SGD 579 genes that display strictly synthetic lethal interactions with one or more LEVEL 2 genes, which we defined as LEVEL 3 (Supplemental Table 2). To narrow our focus to genes related specifically to TORC1, we filtered these LEVEL 3 genes through a list of 396 recently identified gene deletions that display altered (primarily increased) sensitivities to rapamycin (Xie et al., 2005
) (Figure 7A). This latter step resulted in the identification of 108 genes that represent several distinct functional categories, as defined by the Gene Ontology index in SGD (Figure 7D and Supplemental Table 2).
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250 rapamycin-responsive genes (Supplemental Table 2), which represented less than two thirds of the total number of genes identified by Xie et al. (2005)
Testing the Network: Novel Genetic Interactions between TORC1 and Vesicular Trafficking Genes
A number of the processes listed in Figure 7D, including regulation of cell size, cell wall organization, and protein modification, have been shown previously to be regulated by TORC1. By contrast, several genes identified by this analysis cluster within the general category of "transport" and include genes that have not been linked previously to TORC1, except by virtue that their deletion results in hypersensitivity to rapamycin (Figure 7D) (Xie et al., 2005
). Thus, to investigate this category further, we partitioned all genes within transport into distinct subcategories using the Gene Ontology index in SGD (Figure 8A). This approach identified three subcategories related to endosomal and vesicular transport, two of which possessed four genes in common: YPT6, VPS29, VPS35, and VPS38 (Figure 8A). Each of these genes has been implicated in the trafficking of a number of specific substrates, including CPY, which passes through the early secretory pathway and is targeted to the vacuole via the late endocytic pathway (Vashist et al., 2001
). We therefore examined the effect of rapamycin treatment on the trafficking of CPY, which can be monitored using pulse-chase analysis as a series of post-translational glycosylation and proteolytic cleavage events as it transitions from two distinct precursor (P1 and P2) forms to a fully processed, mature (M) form. Indeed, we observed a mild but reproducible delay in CPY trafficking, particularly at the earliest step of conversion of P1 to P2 forms, in cells that had been treated with rapamycin, in comparison with untreated cells (Figure 8B). We note that this level of defect in CPY maturation is remarkably similar to that observed for cells deleted for the CHC1 gene that encodes clathrin heavy chain (Payne et al., 1988
) as well as a number of mild mutant alleles of genes within the YPT gene family (Singer-Kruger et al., 1994
).
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and ypt6
as well as significant synthetic slow-growth interactions with each of the three vps gene deletions (Figure 8D). Together, these results demonstrate a remarkably tight series of functional interactions involving TORC1 and actin/endocytosis genes throughout this network.
Cofractionation of TORC1 with Distinct Organelle Markers
Given the spectrum of trafficking events that are predicted to be influenced by TORC1, both by our network analysis as well as results from other laboratories, we sought to revisit the question as to which intracellular membrane compartment(s) is associated with this complex. Results of previous studies are consistent with TORC1 components being localized to membranes related to the secretory and/or endosomal pathways (Kunz et al., 2000
; Chen and Kaiser, 2003
; Wedaman et al., 2003
). However, as most biochemical fractionation approaches have used sucrose gradient floatation assays, it has been difficult to distinguish between these different compartments, due to the similar behavior of representative secretory and endosomal protein markers used for these assays. Accordingly, we explored a variety of gradient methods to maximize separation of different organelle markers from spheroplasted cell extracts, and we found that sorbitol overlay gradients (Cleves et al., 1991
; McGee et al., 1994
; Zinser and Daum, 1995
) (see Materials and Methods) provided an effective means to distinguish several organelles, in particular markers for the trans-Golgi (Vps10p) versus the early endosome (Rsp5p) (Figure 9A).
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| DISCUSSION |
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Based on our biochemical results, we distinguish detergent-resistant membranes that contain TOR from classically defined PM-DRMs that contain Pma1p as well as several other plasma membrane proteins, based on their differences in behavior on OptiPrep gradients as well as their response to perturbation of the sphingolipid content within cells. Cofractionation of proteins within TOR-DRMs could result from physical associations with either TORC1 or TORC2. For example, within TOR-DRMs, we identified Tpd3p, a structural component of the Pph21/22 phosphatase complex that is regulated by Tap42p and that acts downstream of TORC1 (Crespo and Hall, 2002
). In this regard, Tap42p has recently been shown to interact directly with TORC1 within a detergent-resistant membrane fraction that is likely to correspond to TOR-DRMs, we have described here (Yan et al., 2006
). Alternatively, cofractionation could be indicative of a shared biochemical environment that exists in the absence of direct physical interactions. In this regard, we have been unable to observe any significant association between Tor1p and Sla2p, as monitored by coimmunoprecipitation experiments (our unpublished data). Given the significant number of SSL interactions detected between TORC1 and components identified within TOR-DRMs, however, we suggest there are nevertheless significant functional links between proteins that cofractionate within TOR-DRMs.
Results of our genetic analyses, in combination with database mining, affirm the view that TORC1 affects a wide spectrum of cellular functions (Figure 7). This conclusion is further supported by our cell fractionation data that TORC1 may interact with a number of intracellular membrane compartments in addition to the plasma membrane (Figure 9). This latter conclusion is consistent with a recent report that yeast TORC1 is regulated by Pmr1p, a Golgi-localized Ca++/Mn++ ATPase (Devasahayam et al., 2006
), as well as recent findings that mTOR interacts with both the ER as well as Golgi, in part due to the presence of specific sequences within N-terminal HEAT repeats (Liu and Zheng, 2007
). Moreover, the utility of meta-analysis to extend our genetic interactions to construct an interaction network (Figure 7D) was demonstrated by the discovery of novel SSL interactions between TOR1 and components involved in intracellular trafficking (Figure 8). The interaction network we have described is based on a combination of SSL interactions as well as hypersensitivity of mutant strains to rapamycin (Xie et al., 2005
). Thus, genes identified through this analysis may either represent components that function within the same pathway as TORC1, or, alternatively, within pathways that act in parallel to TORC1.
Previous studies have demonstrated that inhibition of TORC1 with rapamycin alters the intracellular trafficking of distinct nutrient-regulated amino acid permeases, including the tryptophan permease Tat2p and the general amino acid permease Gap1p, by altering their sorting at the trans-Golgi to the plasma membrane versus the vacuole (Schmidt et al., 1998
; Chen and Kaiser, 2003
). As these alterations mimic the physiological consequences of changes in amino acid and/or nitrogen source availability for these permeases, these results suggest that TORC1 is involved in modulating protein trafficking in response to nutritional signals (Wullschleger et al., 2006
). Similarly, our findings reported here that rapamycin treatment significantly delays repolarization of the actin cytoskeleton after glucose starvation suggests TORC1 signaling may also be involved in cytoskeletal rearrangements that occur in response to changes in nutrient availability. According to this view, it is possible that other effects of rapamycin described here, including actin depolarization and delayed accumulation of lucifer yellow within the vacuole, are also in part consequences of complex cellular reorganization that occurs in response to nutrient deprivation in yeast. This notion is consistent with involvement of the actin cytoskeletal network in distinct membrane and protein trafficking events, many of which are important for cellular responses to starvation, including remodeling of the cell wall, as well as vacuole-related events during specific forms of autophagy (Hamasaki et al., 2005
; Levin, 2005
; Reggiori et al., 2005
; He and Klionsky, 2007
). Moreover, this view could account for the wide range of cellular processes that are coupled to both TORC1 and actin, as identified by our meta-analysis (Figure 7). Interestingly, TORC1 and components that regulate both the actin cytoskeleton as well as endocytosis are also linked in terms of the cell integrity response pathway, whereby plasma membrane and/or cell wall stability is modulated in response to thermal or osmotic stress (Torres et al., 2002
; Reinke et al., 2004
; Levin, 2005
). These findings are consistent with proposals that there may be a common "regulatory architecture" whereby cells interpret and respond to nutritional as well as other environmental stresses (Levin, 2005
). Our findings reported here underscore the important relationship between TORC1 and actin within this architecture.
| ACKNOWLEDGMENTS |
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-Pma1p and
-Chs3p antibodies, P. Walter for
-Sec61p antibodies and for plasmid pGAL-STE3-HA, and H. Pelham for plasmid pRS416-TLG1-MYC. We thank M. Madonna for establishing conditions for use of sorbitol overlay gradients and for generating preliminary results by using this assay. We thank K. Kaplan and the Kaplan laboratory for assistance with microscopy. This work was sponsored by National Science Foundation grant MCB-1031221 and American Cancer Society Research Scholar grant RSG-04-075-01-TBE (to T.P.). | Footnotes |
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The online version of this article contains supplemental material at MBC Online (http://www.molbiolcell.org). ![]()
Address correspondence to: Ted Powers (tpowers{at}ucdavis.edu).
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