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Copyright © 2005, European Molecular Biology Organization Central role of Ifh1p–Fhl1p interaction in the synthesis of yeast ribosomal proteins 1Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY, USA aDepartment of Cell Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA. Tel.: +1 718 430 3022; Fax: +1 718 430 8574; E-mail: warner/at/aecom.yu.edu Received November 26, 2004; Accepted December 21, 2004. This article has been cited by other articles in PMC.Abstract The 138 genes encoding the 79 ribosomal proteins (RPs) of Saccharomyces cerevisiae form the tightest cluster of coordinately regulated genes in nearly all transcriptome experiments. The basis for this observation remains unknown. We now provide evidence that two factors, Fhl1p and Ifh1p, are key players in the transcription of RP genes. Both are found at transcribing RP genes in vivo. Ifh1p, but not Fhl1p, leaves the RP genes when transcription is repressed. The occupancy of the RP genes by Ifh1p depends on its interaction with the phospho-peptide recognizing forkhead-associated domain of Fhl1p. Disruption of this interaction is severely deleterious to ribosome synthesis and cell growth. Loss of functional Fhl1p leads to cells that have only 20% the normal amount of RNA and that synthesize ribosomes at only 5–10% the normal rate. Homeostatic mechanisms within the cell respond by reducing the transcription of rRNA to match the output of RPs, and by reducing the global transcription of mRNA to match the capacity of the translational apparatus. Keywords: chromatin, FHA domain, ribosomal proteins, transcription, yeast Introduction With the recent addition of Asc1p (Link et al, 1999), we now know that the Saccharomyces cerevisiae ribosome has 79 proteins, encoded by 138 ribosomal protein (RP) genes that are responsible for nearly 50% of all Pol II transcriptional initiations (Velculescu et al, 1997; Holstege et al, 1998; Warner, 1999). Their transcription is rigorously controlled as a cohort in response to both positive and negative signals (Gasch et al, 2000; Causton et al, 2001). Indeed, they represent the most prominent cluster in most transcriptome studies. The transcriptional activating regions of most RP genes are characterized by a pair of sites that bind Rap1p and are essential for high-level transcription (Rotenberg and Woolford, 1986; Schwindinger and Warner, 1987; Nieuwint et al, 1989). In a few cases, the Rap1p sites are replaced by a site for Abf1p (Hamil et al, 1988; Herruer et al, 1989) or for Reb1p (Lascaris et al, 1999). The coordinate regulation of transcription of the RP genes appears independent of which transcriptional regulator is present. Rap1p is a protein of many functions, as its name, repressor-activator-protein, suggests (reviewed in Morse, 2000; Pina et al, 2003). It is responsible for the transcription not only of the RP genes, but also of many genes encoding translation factors and enzymes of glycolysis. It binds to the TG repeats of telomeric DNA. It serves to nucleate complexes that repress transcription of genes both adjacent to the telomeres and at the silent MAT loci. Yet alone Rap1p has only weak transcriptional activating ability (Tornow et al, 1993). It is reported to act by interfering with nucleosomes, thus facilitating the access of activation factors to their binding sites (Yu and Morse, 1999). Although acetylated histones have been observed throughout the UAS of RP genes (Reid et al, 2000), recent reports suggest that the promoter regions of actively transcribed genes, especially RP genes, are nearly devoid of nucleosomes (Bernstein et al, 2004; Lee et al, 2004). The specificity of Rap1p in its several roles presumably lies in its recruitment of specific coactivators, such as Gcr1p at the glycolytic genes (Tornow et al, 1993), or corepressors, such as Sir3p, at telomeres and silent MAT loci (Moretti et al, 1994). Recently, a genome-wide chromatin immunoprecipitation (ChIP) analysis showed that the promoter of nearly every RP gene is occupied by the hitherto obscure potential transcription factor Fhl1p (forkhead-like) (Lee et al, 2002). Fhl1p was originally identified as a multicopy suppressor of a Pol III mutant, and was then shown to be important for ribosome biosynthesis (Hermann-Le Denmat et al, 1994). Subsequently, the same group identified IFH1 as a multicopy suppressor of the slow growth phenotype of a ΔFHL1 strain. Ifh1p, essential for growth, was also implicated in ribosome biosynthesis. Surprisingly, cells with deletions of both FHL1 and IFH1 survive (Cherel and Thuriaux, 1995). We have now explored in more detail both the roles of Fhl1p and Ifh1p in ribosome biosynthesis and the physiological effects of their absence. We confirm that Fhl1p, as well as Ifh1p, is found at the UAS of RP genes. By co-immunoprecipitation (Co-IP) analysis, we find that Fhl1p and Ifh1p interact with each other through the ‘forkhead (FH)-associated' (FHA) domain of Fhl1p (Durocher and Jackson, 2002). Mutation of the FHA domain, reducing its interaction with Ifh1p, leads to loss of Ifh1p from RP genes and to severe defects in ribosome synthesis and growth. Treatment of cells with rapamycin, which represses strongly the transcription of RP genes (Cardenas et al, 1999; Powers and Walter, 1999), leads to the loss of Co-IP of Fhl1p with Ifh1p and to the disappearance of Ifh1p from the RP genes. Together, these observations suggest that the Fhl1p–Ifh1p interaction is responsible for active transcription of the RP genes. Cells lacking Fhl1p or both Fhl1p and Ifh1p grow exceedingly slowly and have less than one-quarter the normal amount of ribosomes, presumably because of deficient transcription of RP genes. Nevertheless, these ribosome-deprived cells utilize homeostatic mechanisms both to reduce their transcription of rRNA to match the available RPs and to balance their total mRNA population to the available ribosome complement. Results Both Fhl1p and Ifh1p are associated with RP genes To confirm and extend the results reported by Lee et al (2002), we performed ChIP analysis on a strain carrying Fhl1p C-terminally tagged with HA3 and Ifh1p C-terminally tagged with Myc9. As shown in Figure 1A
Quantitative PCR analysis of ChIP products (Figure 1B Loss of Ifh1p from the RP genes during repression Rapamycin leads to a rapid reduction in transcription of rRNA and RP genes (Cardenas et al, 1999; Powers and Walter, 1999). ChIP analysis shows that after treatment of the cells with rapamycin, Fhl1p nevertheless remains at the promoters of the RP genes (Figure 1C Ifh1p acts as a regulator of RP genes The observation that the rapid transcription of RP genes is coincident with their occupancy by Ifh1p, but not Rap1p or Fhl1p, suggests that Ifh1p is an important regulator. To test this notion, we generated a strain with IFH1 under control of the GAL1 promoter (GALUAS-IFH1). Although deletion of IFH1 is lethal (Cherel and Thuriaux, 1995), these cells grow slowly on the limiting amount of Ifh1p synthesized under glucose repression, while in the presence of galactose they grow comparably to wild-type (WT) cells (Figure 2A
Neither Fhl1p nor Ifh1p binds to RP promoters in vitro In an attempt to dissect the system, we carried out band-shift experiments using the intergenic region upstream of the RP gene, RPL11A, together with partially purified TAP derivatives (Puig et al, 2001) of Fhl1p and Ifh1p, alone, together and with Rap1p. While Rap1p binds tightly, no evidence of binding by Fhl1p or Ifh1p was observed, alone or in combination with the others, using several concentrations of the proteins (Figure 3
Fhl1p and Ifh1p interact with each other We carried out Co-IP experiments to ask if the genetic interaction of Fhl1p and Ifh1p (Cherel and Thuriaux, 1995) arises from a physical interaction between the two proteins. As shown in Figure 4A
Basis of the interaction of Fhl1p with Ifh1p Examination of the sequence of Fhl1p reveals two conserved domains (Figure 5A
We generated mutant versions of Fhl1p in order to determine the sites of interaction with Ifh1p. Several mutations within the FH domain or deletion of the entire FH domain has no effect on the interaction (Figure 5B Interaction of Fhl1p and Ifh1p is important for cell growth Deletion of FHL1, while not lethal, reduces substantially the growth rate of a cell (Hermann-Le Denmat et al, 1994) (Figure 5C However, neither mutation of key residues within the FH domain nor deletion of the entire domain had much effect either on cell growth or on RNA content (Figure 5C The morphology of the cells is shown in Figure 5E Occupancy of the RP promoter by Ifh1p requires its interaction with Fhl1p The consistency of the observations in vivo and in vitro leads to the hypothesis that a key step in driving the transcription of RP genes is the binding of Ifh1p to Fhl1p, rather than the binding of Fhl1p to DNA (or to chromatin). We carried out a ChIP experiment to determine the occupancy of Fhl1p and Ifh1p at RP promoters under conditions in which they do not interact with each other. Neither deletion of the FHA domain nor the mutation S325R affects the association of Fhl1p with RP genes (Figure 6A
Physiology of ribosome-deprived cells In spite of the critical role that Fhl1p and Ifh1p play in ribosome synthesis, cells with the genotype ΔFHL1 or ΔFHL1 ΔIFH1 are viable, if very slow growing (Cherel and Thuriaux, 1995). While the slow growth is presumably due to the reduced content of ribosomes, how do the cells manage their transcription and translation under such conditions? We determined the level of rRNA transcription and the efficiency of rRNA processing by pulse–chase labeling with [C3H3]-methionine, with which it is possible to look specifically at the rRNA species (Figure 7
mRNAs of ribosome-deprived cells Because Fhl1p is found almost exclusively at RP genes (Lee et al, 2002) and similar results have been reported for Ifh1p (Schawalder et al, 2004), we expected to find that in ΔFHL1 strains, the level of RP mRNA would be greatly reduced compared to that derived from other genes. However, Figure 8A
Considering that Fhl1p binds almost exclusively to RP genes, the interesting result is that we observed only marginal deficits of the RP gene transcripts (Figure 8C, E and G The raw data from the array hybridization suggest that the levels of mRNA in the mutant strains are reduced to approximately the same extent as the levels of total RNA. This result demonstrates that the mutant cells have a remarkable capacity to detect a deficiency of ribosomes and to respond by reducing the amounts of all mRNAs to ensure that the mRNA/ribosome ratio is maintained within narrow limits, presumably, although not necessarily, through reduced Pol II transcription. Such ability of the translation system to provide global feedback to the transcription system, in the interests of maintaining homeostasis, is yet another example of cellular control mechanisms of which we remain profoundly ignorant. Layers of control It is evident that a certain level of transcription of RP genes can occur in the absence of the transcription factors Fhl1p and Ifh1p (Figure 8
Discussion New factors in the transcription of RP genes The identification of Fhl1p and Ifh1p at the promoters of RP genes (Figure 1 Role of the FHA domain of Fhl1p The importance of the FHA domain of Fhl1p, both for cell growth (Figure 5C There are at least three, nonexclusive, candidates for Ifh1p kinase. The effect of rapamycin in reducing the Co-IP of Fhl1p and Ifh1p in parallel with the reduction of RP transcription (Figure 4C Recent experiments have implicated Sfp1p as another factor that can be found at many RP genes (Jorgensen et al, 2004; Marion et al, 2004), but without the same degree of specificity as shown by Fhl1p (Lee et al, 2002) or Ifh1p (Schawalder et al, 2004). Sfp1p is interesting because it appears to migrate between nucleus and cytoplasm, the former when RP gene transcription is active, the latter when it is inactive (Jorgensen et al, 2004; Marion et al, 2004). The basis for this migration is unknown, as is the way in which it interfaces with Fhl1p and Ifh1p. Jorgensen et al (2004) have stressed the importance of ribosome synthesis in controlling cell size, at least partly through Sfp1p, whose deletion leads to unusually small cells. Surprisingly, ΔFHL1 cells, with greatly reduced ribosome biosynthesis, are of normal size (Figure 5E Role of Rap1p Rap1p has long been an intriguing protein because of the number and variety of its roles in the cell, from coating telomeres to silencing the silent MAT loci to activating both glycolytic and RP genes, perhaps 50% of the Pol II transcripts of the cell. There is ample evidence that Rap1p acts by clearing nucleosomes from a region of chromatin, thereby permitting access to positive or negative transcription factors (Yu and Morse, 1999; Yarragudi et al, 2004). What is unclear is the basis for the specificity of these secondary factors, for example, for Sir3p at telomeres, for Gcr1p at glycolytic genes and for Fhl1p at RP genes (Figure 1 Although a recent bioinformatics study has implicated two motifs as definitive characteristics of genes regulated as RP genes are (Beer and Tavazoie, 2004), the motifs are rather degenerate and seem not to be universal among the RP genes. Indeed, we find that quite minor changes in the sequence context of the Rap1p sites can lead to drastic changes both in the occupancy by Ifh1p as measured by ChIP and in the level of transcription of the adjacent gene (Zhao et al, in preparation). How is the transcription of the several RP genes that have an Abf1p site, but no Rap1p sites, so tightly coordinated with the others? While Abf1p can in some circumstances substitute for Rap1p to clear nucleosomes from chromatin (Yarragudi et al, 2004), the specificity issue remains since Abf1p is also found at many loci (Lee et al, 2002). On one gene driven by Abf1p (Hamil et al, 1988), RPL3, both Fhl1p and Ifh1p are found but at a substantially lower level than for RPL30 (Figure 1B Other factors Ultimately, we would like to know how the presence of Fhl1p and Ifh1p leads to such active transcription and how they interact with other factors that have been implicated in RP gene transcription, such as Sfp1p (Jorgensen et al, 2004; Marion et al, 2004), the TAFs (Mencia et al, 2002), the RSC chromatin remodeling complex (Angus-Hill et al, 2001) and the protein acetylase Esa1p (Reid et al, 2000). Interestingly, neither H4 nor H2A, the favored substrates for Esa1p, is highly acetylated at RP genes, which seem to have in common the acetylation of K18 of histone H3 (Kurdistani et al, 2004). Perhaps Esa1p acetylates one of the non-histone factors. Indeed, recent data indicate that the regulatory regions of RP genes are devoid of nucleosomes during active transcription (Bernstein et al, 2004; Lee et al, 2004), suggesting that these chromatin remodeling factors are operative only during periods of activation or repression of the RP genes. Caveats Although the data presented above are consistent with the simple model of Rap1p recruiting Fhl1p whose FHA domain recruits phosphorylated Ifh1p, which drives transcription of RP genes, a number of cautions need be considered. That cells grow, albeit slowly, without Fhl1p demonstrates an independent basal system of transcription. Furthermore, this basal level of RP mRNA is still repressed rapidly and efficiently by rapamycin (Figure 9 Resourcefulness of cells A useful insight into biological homeostasis is revealed in Figures 7 Another manifestation of the cell's adjustment to deficient ribosome synthesis is the downregulation of the production of all mRNAs. A rapidly growing WT cell is estimated to have 200 000 ribosomes and 15 000 mRNAs (Warner, 1999). Were the ΔFHL1 cell, with only 20 000 ribosomes (Figure 5D Materials and methods Strains and plasmid constructs The strains used in this study are listed in Table I. Replacement of the IFH1 promoter by the GAL1 promoter and the epitope tagging of the proteins of interest were carried out by PCR-based gene targeting (Longtine et al, 1998) and TAP tagging according to Puig et al (2001). For the N-terminal TAP tagging of RAP1 (strain YZ73), pBS1761 (Puig et al, 2001) was used as the template where the GAL1 promoter is replaced by the RAP1 promoter. All the tagged proteins supported normal growth.
Plasmid constructs carrying the WT and the mutated versions of FHL1-HA3 were generated by conventional methods using the QuikChange XL site-directed mutagenesis kit (Stratagene). All were sequenced to confirm mutation. To generate strains DR47, DR48, DR49 and DR65, we transformed the respective plasmid constructs into the diploid DR57, followed by sporulation and tetrad dissection. Preparation of yeast cell lysates, immunoprecipitation and Western blotting A 50 ml culture was grown to an OD600 ~1.0. Cells were harvested, washed with IP150 buffer (50 mM Tris–HCl pH 7.4, 150 mM NaCl, 2 mM MgCl2 and 0.1% NP-40) and lysed using glass beads in 300 μl ice-cold IP150 buffer supplemented with ‘Complete Mini' protease inhibitor cocktail tablet (Roche) and 1 mM PMSF. Lysates were centrifuged at 13 000 g for 1 min at 4°C to remove debris. In some cases, the extract was incubated with 200 μg/ml of ethidium bromide on ice for 30 min before the centrifugation. These extracts were incubated at 4°C with anti-Myc mouse monoclonal antibody (9E10) coupled to Protein A-agarose beads (Pierce). For the IP performed with HA antibody, anti-HA affinity matrix (Roche) was used. Following incubation, beads were washed three times with IP150 buffer. The washed beads containing bound proteins were suspended in 50 μl of 1% SDS gel loading buffer and heated at 95°C for 5 min. The released polypeptides in 20 μl of heated sample were resolved in 0.1% SDS–5% polyacrylamide gels. The separated polypeptides were transferred onto a PVDF membrane, and analyzed by Western blotting using anti-HA (3F10) peroxidase or anti-c-Myc (9E10) peroxidase (Roche) wherever applicable. Chromatin immunoprecipitation A 200 ml portion of culture (~1 × 107 cells/ml) was treated with formaldehyde at a final concentration of 1% at room temperature for 30 min with occasional swirling. Glycine was added to a final concentration of 360 mM. ChIP was then carried out as described (Kuras and Struhl, 1999). To immunoprecipitate Fhl1-HA3 or Ifh1-Myc9, 20 μl of anti-HA mouse monoclonal antibody (12CA5) or 20 μl anti-c-Myc mouse monoclonal (9E10) antibody was added to the chromatin preparation with 20 μl Protein A-agarose beads and incubated at 4°C for 3 h. Quantitative real-time PCR analyses were performed on an Applied Biosystems 7700 sequence detector. To calculate the fold enrichment of Fhl1-HA3 and Ifh1-Myc9 occupancy at an individual promoter, we determined the apparent crosslinking efficiency by dividing the amount of PCR product from the immunoprecipitated sample by the amount of PCR product in the input sample prior to IP and subtracting the apparent crosslinking efficiency of a control promoter, CYC1, that is not occupied by Fhl1p (Lee et al, 2002). Microarray hybridization Total RNA was isolated from strains DR34, DR35 and DR36. Following the Affymetrix protocol, 5 μg of each RNA was used to prepare cDNA using reverse transcriptase (GIBCO-BRL SuperScript) that was subsequently used as a template to make biotin-labeled cRNA using an in vitro transcription reaction (Enzo). Each cRNA was hybridized with an individual Affymetrix Yeast Genome S98 oligonucleotide array that was subsequently processed and scanned according to the manufacturer's instructions. Biotin-labeled cRNA preparation and array hybridization was performed in duplicate. Data were saved as raw image files and converted into probe set data (as ‘*.cel' files) using Microarray Suite (MAS 5.0). Analysis of microarray data Robust multiarray average (RMA) (Irizarry et al, 2003) was used to analyze Affymetrix probe set data. There are four stages of RMA. First, probe set data (‘*.cel' files) from all arrays are simultaneously normalized using quantile normalization, which eliminates systematic differences between GeneChips, without significantly altering the relative intensity of probes within a GeneChip. Second, mean optical background level for each array is estimated, and the intensity for each probe is adjusted to remove this. Third, the normalized, background-corrected data are transformed to the log2 scale. Finally, multiple probes are combined into a single measure of expression for each gene on each array by using a median-polish procedure. The microarray data can be accessed at GEO with the accession number GSE2096. Supplementary Material Click here to view.(5.8K, pdf) Supplementary Table 1 Click here to view.(2.3M, xls) Acknowledgments We are grateful to D Shore and S Schawalder for anti-Rap1p antibody, for useful discussions and for communicating results prior to publication, to T Stopka for help with real-time PCR, to D Zenklusen for help with micrography, to C Fan for help with data analysis, to P Thuriaux for strains and plasmids and to Saqui Huq for technical assistance. Ian Willis and Charles Query provided valuable comments on the manuscript. This research was supported in part by grants from the Human Frontiers Program and the NIH: GM-25532 to JRW and CAI-3330 to the Albert Einstein Cancer Center. References
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Nat Biotechnol. 1999 Jul; 17(7):676-82.
[Nat Biotechnol. 1999]Cell. 1997 Jan 24; 88(2):243-51.
[Cell. 1997]Cell. 1998 Nov 25; 95(5):717-28.
[Cell. 1998]Trends Biochem Sci. 1999 Nov; 24(11):437-40.
[Trends Biochem Sci. 1999]Mol Biol Cell. 2000 Dec; 11(12):4241-57.
[Mol Biol Cell. 2000]Mol Cell Biol. 1986 Feb; 6(2):674-87.
[Mol Cell Biol. 1986]J Biol Chem. 1987 Apr 25; 262(12):5690-5.
[J Biol Chem. 1987]Curr Genet. 1989 Apr; 15(4):247-51.
[Curr Genet. 1989]Mol Cell Biol. 1988 Oct; 8(10):4328-41.
[Mol Cell Biol. 1988]Nucleic Acids Res. 1989 Sep 25; 17(18):7427-39.
[Nucleic Acids Res. 1989]Trends Genet. 2000 Feb; 16(2):51-3.
[Trends Genet. 2000]Mol Genet Genomics. 2003 Mar; 268(6):791-8.
[Mol Genet Genomics. 2003]EMBO J. 1993 Jun; 12(6):2431-7.
[EMBO J. 1993]Mol Cell Biol. 1999 Aug; 19(8):5279-88.
[Mol Cell Biol. 1999]Mol Cell. 2000 Dec; 6(6):1297-307.
[Mol Cell. 2000]Genome Biol. 2004; 5(9):R62.
[Genome Biol. 2004]Nat Genet. 2004 Aug; 36(8):900-5.
[Nat Genet. 2004]EMBO J. 1993 Jun; 12(6):2431-7.
[EMBO J. 1993]Genes Dev. 1994 Oct 1; 8(19):2257-69.
[Genes Dev. 1994]Science. 2002 Oct 25; 298(5594):799-804.
[Science. 2002]Mol Cell Biol. 1994 May; 14(5):2905-13.
[Mol Cell Biol. 1994]Yeast. 1995 Mar; 11(3):261-70.
[Yeast. 1995]FEBS Lett. 2002 Feb 20; 513(1):58-66.
[FEBS Lett. 2002]Genes Dev. 1999 Dec 15; 13(24):3271-9.
[Genes Dev. 1999]Mol Biol Cell. 1999 Apr; 10(4):987-1000.
[Mol Biol Cell. 1999]Science. 2002 Oct 25; 298(5594):799-804.
[Science. 2002]Mol Gen Genet. 1996 Feb 25; 250(3):348-56.
[Mol Gen Genet. 1996]Mol Cell Biol. 1988 Oct; 8(10):4328-41.
[Mol Cell Biol. 1988]Genes Dev. 1999 Dec 15; 13(24):3271-9.
[Genes Dev. 1999]Mol Biol Cell. 1999 Apr; 10(4):987-1000.
[Mol Biol Cell. 1999]Mol Cell. 2000 Dec; 6(6):1297-307.
[Mol Cell. 2000]Yeast. 1995 Mar; 11(3):261-70.
[Yeast. 1995]Methods. 2001 Jul; 24(3):218-29.
[Methods. 2001]Genes Dev. 2001 Sep 15; 15(18):2445-56.
[Genes Dev. 2001]Curr Biol. 2000 Jul 27-Aug 10; 10(15):896-906.
[Curr Biol. 2000]Yeast. 1995 Mar; 11(3):261-70.
[Yeast. 1995]Proc Natl Acad Sci U S A. 1992 Aug 1; 89(15):6958-62.
[Proc Natl Acad Sci U S A. 1992]Nature. 1993 Jul 29; 364(6436):412-20.
[Nature. 1993]FEBS Lett. 2002 Feb 20; 513(1):58-66.
[FEBS Lett. 2002]Mol Cell Biol. 1994 May; 14(5):2905-13.
[Mol Cell Biol. 1994]Genes Dev. 2004 Oct 15; 18(20):2491-505.
[Genes Dev. 2004]Science. 2002 Oct 25; 298(5594):799-804.
[Science. 2002]Yeast. 1995 Mar; 11(3):261-70.
[Yeast. 1995]Science. 2002 Oct 25; 298(5594):799-804.
[Science. 2002]Nature. 2004 Dec 23; 432(7020):1058-61.
[Nature. 2004]Science. 2002 Oct 25; 298(5594):799-804.
[Science. 2002]Genes Dev. 2004 Oct 15; 18(20):2491-505.
[Genes Dev. 2004]Nature. 2004 Dec 23; 432(7020):1058-61.
[Nature. 2004]Yeast. 1995 Mar; 11(3):261-70.
[Yeast. 1995]FEBS Lett. 2002 Feb 20; 513(1):58-66.
[FEBS Lett. 2002]Mol Cell Biol. 1994 Mar; 14(3):1920-8.
[Mol Cell Biol. 1994]Mol Cell Biol. 1995 Jun; 15(6):3187-96.
[Mol Cell Biol. 1995]Physiol Genomics. 2003 Dec 16; 16(1):107-18.
[Physiol Genomics. 2003]Mol Cell Biol. 2004 Jan; 24(1):338-51.
[Mol Cell Biol. 2004]Mol Cell. 2004 Jan 30; 13(2):225-39.
[Mol Cell. 2004]Genes Dev. 2004 Oct 15; 18(20):2491-505.
[Genes Dev. 2004]Proc Natl Acad Sci U S A. 2004 Oct 5; 101(40):14315-22.
[Proc Natl Acad Sci U S A. 2004]Science. 2002 Oct 25; 298(5594):799-804.
[Science. 2002]Nature. 2004 Dec 23; 432(7020):1058-61.
[Nature. 2004]Genes Dev. 2004 Oct 15; 18(20):2491-505.
[Genes Dev. 2004]Genes Dev. 2004 Oct 15; 18(20):2431-6.
[Genes Dev. 2004]Mol Cell Biol. 1999 Aug; 19(8):5279-88.
[Mol Cell Biol. 1999]Mol Cell Biol. 2004 Oct; 24(20):9152-64.
[Mol Cell Biol. 2004]J Mol Biol. 1993 May 20; 231(2):293-310.
[J Mol Biol. 1993]Cell. 1996 Apr 5; 85(1):125-36.
[Cell. 1996]Cell. 2004 Apr 16; 117(2):185-98.
[Cell. 2004]Mol Cell Biol. 2004 Oct; 24(20):9152-64.
[Mol Cell Biol. 2004]Science. 2002 Oct 25; 298(5594):799-804.
[Science. 2002]Mol Cell Biol. 1988 Oct; 8(10):4328-41.
[Mol Cell Biol. 1988]Cell. 1998 Nov 25; 95(5):717-28.
[Cell. 1998]J Mol Biol. 1983 Mar 25; 165(1):79-89.
[J Mol Biol. 1983]Genes Dev. 2004 Oct 15; 18(20):2491-505.
[Genes Dev. 2004]Proc Natl Acad Sci U S A. 2004 Oct 5; 101(40):14315-22.
[Proc Natl Acad Sci U S A. 2004]Mol Cell. 2002 Apr; 9(4):823-33.
[Mol Cell. 2002]Mol Cell. 2001 Apr; 7(4):741-51.
[Mol Cell. 2001]Mol Cell. 2000 Dec; 6(6):1297-307.
[Mol Cell. 2000]Yeast. 1995 Mar; 11(3):261-70.
[Yeast. 1995]Science. 2002 Oct 25; 298(5594):799-804.
[Science. 2002]Trends Biochem Sci. 1999 Nov; 24(11):437-40.
[Trends Biochem Sci. 1999]Yeast. 1998 Jul; 14(10):953-61.
[Yeast. 1998]Methods. 2001 Jul; 24(3):218-29.
[Methods. 2001]Nature. 1999 Jun 10; 399(6736):609-13.
[Nature. 1999]Science. 2002 Oct 25; 298(5594):799-804.
[Science. 2002]Biostatistics. 2003 Apr; 4(2):249-64.
[Biostatistics. 2003]J Biol Chem. 1999 May 7; 274(19):13235-41.
[J Biol Chem. 1999]