ADH1 | GeneID:854068 | Saccharomyces cerevisiae

CAA58193   CAA99098   DEBYA   NP_014555  

1. [ ] Laadan B, et al. (2008) "Identification of an NADH-dependent 5-hydroxymethylfurfural-reducing alcohol dehydrogenase in Saccharomyces cerevisiae." Yeast. 25(3):191-198. PMID:18302314

We report on the identification and characterization of a mutated alcohol dehydrogenase 1 from the industrial Saccharomyces cerevisiae strain TMB3000 that mediates the NADH-dependent reduction of 5-hydroxymethylfurfural (HMF) to 2,5-bis-hydroxymethylfuran. The co-factor preference distinguished this alcohol dehydrogenase from the previously reported NADPH-dependent S. cerevisiae HMF alcohol dehydrogenase Adh6. The amino acid sequence revealed three novel mutations (S109P, L116S and Y294C) that were all predicted at the vicinity of the substrate binding site, which could explain the unusual substrate specificity. Increased biomass production and HMF conversion rate were achieved in a CEN.PK S. cerevisiae strain overexpressing the mutated ADH1 gene.

2. [ ] Markossian KA, et al. (2008) "Mechanism of thermal aggregation of yeast alcohol dehydrogenase I: role of intramolecular chaperone." Biochim Biophys Acta. 1784(9):1286-1293. PMID:18515108

Kinetics of thermal aggregation of yeast alcohol dehydrogenase I (yADH) have been studied using dynamic light scattering at a fixed temperature (56 degrees C) and under the conditions where the temperature was elevated at a constant rate (1 K/min). The initial parts of the dependences of the hydrodynamic radius on time (or temperature) follow the exponential law. At rather high values of time splitting of the population of aggregates into two components occurs. It is assumed that such peculiarities of the kinetics of thermal aggregation of yADH are due to the presence of a sequence -YSGVCHTDLHAWHGDWPLPVK- in the polypeptide chain possessing chaperone-like activity. Thermodynamic parameters for thermal denaturation of yADH have been calculated from the differential scanning calorimetry data.

3. [ ] Huttenhower C, et al. (2008) "Assessing the functional structure of genomic data." Bioinformatics. 24(13):i330-i338. PMID:18586732

MOTIVATION: The availability of genome-scale data has enabled an abundance of novel analysis techniques for investigating a variety of systems-level biological relationships. As thousands of such datasets become available, they provide an opportunity to study high-level associations between cellular pathways and processes. This also allows the exploration of shared functional enrichments between diverse biological datasets, and it serves to direct experimenters to areas of low data coverage or with high probability of new discoveries. RESULTS: We analyze the functional structure of Saccharomyces cerevisiae datasets from over 950 publications in the context of over 140 biological processes. This includes a coverage analysis of biological processes given current high-throughput data, a data-driven map of associations between processes, and a measure of similar functional activity between genome-scale datasets. This uncovers subtle gene expression similarities in three otherwise disparate microarray datasets due to a shared strain background. We also provide several means of predicting areas of yeast biology likely to benefit from additional high-throughput experimental screens. AVAILABILITY: Predictions are provided in supplementary tables; software and additional data are available from the authors by request. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

4. [ ] Kaplan Y, et al. (2007) "A role for the yeast cell cycle/splicing factor Cdc40 in the G1/S transition." Curr Genet. 51(2):123-140. PMID:17171376

The CDC40 (PRP17) gene of S. cerevisiae encodes a splicing factor required for multiple events in the mitotic and meiotic cell cycles, linking splicing with cell cycle control. cdc40 mutants exhibit a delayed G(1)/S transition, progress slowly through S-phase and arrest at a restrictive temperature in the G(2) phase. In addition, they are hypersensitive to genotoxic agents such as methylmethane sulfonate (MMS) and Hydroxyurea (HU). CDC40 has been suggested to control cell cycle through splicing of intron-containing pre-mRNAs that encode proteins important for cell cycle progression. We screened a cDNA overexpression library and isolated cDNAs that specifically suppress the HU/MMS-sensitivity of cdc40 mutants. Most of these cDNAs surprisingly encode chaperones, translation initiation factors and glycolytic enzymes, and none of them is encoded by an intron-containing gene. Interestingly, the cDNAs suppress the G(1)/S transition delay of cdc40 cells, which is exacerbated by HU, suggesting that cdc40 mutants are HU/MMS-sensitive due to their S-phase entry defect. A role of Cdc40p in passage through G(1)/S (START) is further supported by the enhanced temperature sensitivity and G(1)/S transition phenotype of a cdc40 strain lacking the G(1) cyclin, Cln2p. We provide evidence that the mechanism of suppression by the isolated cDNAs does not (at least solely) involve up-regulation of the known positive START regulators CLN2, CLN3, DCR2 and GID8, or of the large and small essential ribonucleotide reductase (RNR) subunits, RNR1 and RNR2. Finally, we discuss possible mechanisms of suppression by the cDNAs that imply cell cycle regulation by apparently unrelated processes, such as splicing, translation initiation and glycolysis.

5. [ ] Collins SR, et al. (2007) "Toward a comprehensive atlas of the physical interactome of Saccharomyces cerevisiae." Mol Cell Proteomics. 6(3):439-450. PMID:17200106

Defining protein complexes is critical to virtually all aspects of cell biology. Two recent affinity purification/mass spectrometry studies in Saccharomyces cerevisiae have vastly increased the available protein interaction data. The practical utility of such high throughput interaction sets, however, is substantially decreased by the presence of false positives. Here we created a novel probabilistic metric that takes advantage of the high density of these data, including both the presence and absence of individual associations, to provide a measure of the relative confidence of each potential protein-protein interaction. This analysis largely overcomes the noise inherent in high throughput immunoprecipitation experiments. For example, of the 12,122 binary interactions in the general repository of interaction data (BioGRID) derived from these two studies, we marked 7504 as being of substantially lower confidence. Additionally, applying our metric and a stringent cutoff we identified a set of 9074 interactions (including 4456 that were not among the 12,122 interactions) with accuracy comparable to that of conventional small scale methodologies. Finally we organized proteins into coherent multisubunit complexes using hierarchical clustering. This work thus provides a highly accurate physical interaction map of yeast in a format that is readily accessible to the biological community.

6. [ ] Men L, et al. (2007) "The oxidation of yeast alcohol dehydrogenase-1 by hydrogen peroxide in vitro." J Proteome Res. 6(1):216-225. PMID:17203966

Yeast alcohol dehydrogenase (YADH) plays an important role in the conversion of alcohols to aldehydes or ketones. YADH-1 is a zinc-containing protein, and it accounts for the major part of ADH activity in growing baker's yeast. To gain insight into how oxidative modification of the enzyme affects its function, we exposed YADH-1 to hydrogen peroxide in vitro and assessed the oxidized protein by LC-MS/MS analysis of proteolytic cleavage products of the protein and by measurements of enzymatic activity, zinc release, and thiol/thiolate loss. The results illustrated that Cys43 and Cys153, which reside at the active site of the protein, could be selectively oxidized to cysteine sulfinic acid (Cys-SO2H) and cysteine sulfonic acid (Cys-SO3H). In addition, H2O2 induced the formation of three disulfide bonds: Cys43-Cys153 in the catalytic domain, Cys103-Cys111 in the noncatalytic zinc center, and Cys276-Cys277. Therefore, our results support the notion that the oxidation of cysteine residues in the zinc-binding domain of proteins can go beyond the formation of disulfide bond(s); the formation of Cys-SO2H and Cys-SO3H is also possible. Furthermore, most methionines could be oxidized to methionine sulfoxides. Quantitative measurement results revealed that, among all the cysteine residues, Cys43 was the most susceptible to H2O2 oxidation, and the major oxidation products of this cysteine were Cys-SO2H and Cys-SO3H. The oxidation of Cys43 might be responsible for the inactivation of the enzyme upon H2O2 treatment.

7. [ ] McClellan AJ, et al. (2007) "Diverse cellular functions of the Hsp90 molecular chaperone uncovered using systems approaches." Cell. 131(1):121-135. PMID:17923092

A comprehensive understanding of the cellular functions of the Hsp90 molecular chaperone has remained elusive. Although Hsp90 is essential, highly abundant under normal conditions, and further induced by environmental stress, only a limited number of Hsp90 "clients" have been identified. To define Hsp90 function, a panel of genome-wide chemical-genetic screens in Saccharomyces cerevisiae were combined with bioinformatic analyses. This approach identified several unanticipated functions of Hsp90 under normal conditions and in response to stress. Under normal growth conditions, Hsp90 plays a major role in various aspects of the secretory pathway and cellular transport; during environmental stress, Hsp90 is required for the cell cycle, meiosis, and cytokinesis. Importantly, biochemical and cell biological analyses validated several of these Hsp90-dependent functions, highlighting the potential of our integrated global approach to uncover chaperone functions in the cell.

8. [ ] Reverter-Branchat G, et al. (2007) "Chronological and replicative life-span extension in Saccharomyces cerevisiae by increased dosage of alcohol dehydrogenase 1." Microbiology. 153(Pt 11):3667-3676. PMID:17975074

Alcohol dehydrogenase 1 (Adh1)p catalyses the conversion of acetaldehyde to ethanol, regenerating NAD+. In Saccharomyces cerevisiae, Adh1p is oxidatively modified during ageing and, consequently, its activity becomes reduced. To analyse whether maintaining this activity is advantageous for the cell, a yeast strain with an extra copy of the ADH1 gene (2xADH1) was constructed, and the effects on chronological and replicative ageing were analysed. The strain showed increased survival in stationary phase (chronological ageing) due to induction of antioxidant enzymes such as catalase and superoxide dismutases. In addition, 2xADH1 cells displayed an increased activity of silent information regulator 2 (Sir2)p, an NAD+-dependent histone deacetylase, due to a higher NAD+/NADH ratio. As a consequence, a 30% extension in replicative life span was observed. Taken together, these results suggest that the maintenance of enzymes that participate in NAD+/NADH balancing is important to chronological and replicative life-span parameters.

9. [ ] Gavin AC, et al. (2006) "Proteome survey reveals modularity of the yeast cell machinery." Nature. 440(7084):631-636. PMID:16429126

Protein complexes are key molecular entities that integrate multiple gene products to perform cellular functions. Here we report the first genome-wide screen for complexes in an organism, budding yeast, using affinity purification and mass spectrometry. Through systematic tagging of open reading frames (ORFs), the majority of complexes were purified several times, suggesting screen saturation. The richness of the data set enabled a de novo characterization of the composition and organization of the cellular machinery. The ensemble of cellular proteins partitions into 491 complexes, of which 257 are novel, that differentially combine with additional attachment proteins or protein modules to enable a diversification of potential functions. Support for this modular organization of the proteome comes from integration with available data on expression, localization, function, evolutionary conservation, protein structure and binary interactions. This study provides the largest collection of physically determined eukaryotic cellular machines so far and a platform for biological data integration and modelling.

10. [ ] Bird AJ, et al. (2006) "Repression of ADH1 and ADH3 during zinc deficiency by Zap1-induced intergenic RNA transcripts." EMBO J. 25(24):5726-5734. PMID:17139254

The transcriptional activator Zap1 induces target gene expression in response to zinc deficiency. We demonstrate that during zinc starvation, Zap1 is required for the repression of ADH1 expression. ADH1 encodes the major zinc-dependent alcohol dehydrogenase that is utilized during fermentation. During zinc starvation, Zap1 binds upstream of the activator Rap1 and induces an intergenic RNA transcript, ZRR1. ZRR1 expression leads to the transient displacement of Rap1 from the ADH1 promoter resulting in ADH1 repression. Using a microarray-based approach, we screened for additional genes repressed by Zap1 intergenic transcripts. We found that ADH3, the major mitochondrial alcohol dehydrogenase, is regulated in a manner similar to ADH1. Thus, during zinc deficiency, Zap1 mediates the repression of two of the most abundant zinc-requiring enzymes.

11. [ ] Hannich JT, et al. (2005) "Defining the SUMO-modified proteome by multiple approaches in Saccharomyces cerevisiae." J Biol Chem. 280(6):4102-4110. PMID:15590687

SUMO, or Smt3 in Saccharomyces cerevisiae, is a ubiquitin-like protein that is post-translationally attached to multiple proteins in vivo. Many of these substrate modifications are cell cycle-regulated, and SUMO conjugation is essential for viability in most eukaryotes. However, only a limited number of SUMO-modified proteins have been definitively identified to date, and this has hampered study of the mechanisms by which SUMO ligation regulates specific cellular pathways. Here we use a combination of yeast two-hybrid screening, a high copy suppressor selection with a SUMO isopeptidase mutant, and tandem mass spectrometry to define a large set of proteins (>150) that can be modified by SUMO in budding yeast. These three approaches yielded overlapping sets of proteins with the most extensive set by far being those identified by mass spectrometry. The two-hybrid data also yielded a potential SUMO-binding motif. Functional categories of SUMO-modified proteins include SUMO conjugation system enzymes, chromatin- and gene silencing-related factors, DNA repair and genome stability proteins, stress-related proteins, transcription factors, proteins involved in translation and RNA metabolism, and a variety of metabolic enzymes. The results point to a surprisingly broad array of cellular processes regulated by SUMO conjugation and provide a starting point for detailed studies of how SUMO ligation contributes to these different regulatory mechanisms.

12. [ ] Calvo O, et al. (2005) "The transcriptional coactivator PC4/Sub1 has multiple functions in RNA polymerase II transcription." EMBO J. 24(5):1009-1020. PMID:15692559

Transcription and processing of mRNA precursors are coordinated events that require numerous complex interactions to ensure that they are successfully executed. We described previously an unexpected association between a transcription factor, PC4 (or Sub1 in yeast), and an mRNA polyadenylation factor, CstF-64 (Rna15 in yeast), and provided evidence that this was important for efficient transcription elongation. Here we provide insight into the mechanism by which this occurs. We show that Sub1 and Rna15 are recruited to promoters and present along the length of several yeast genes. Allele-specific genetic interactions between SUB1 and genes encoding an RNA polymerase II (RNAP II)-specific kinase (KIN28) and phosphatase (FCP1) suggest that Sub1 influences and/or is sensitive to the phosphorylation status of elongating RNAP II. Remarkably, we find that cells lacking Sub1 display decreased accumulation of Fcp1, altered RNAP II phosphorylation and decreased crosslinking of RNAP II to transcribed genes. Our data provide evidence that Rna15 and Sub1 are present along the length of several genes and that Sub1 facilitates elongation by influencing enzymes that modify RNAP II.

13. [ ] Muratani M, et al. (2005) "The F box protein Dsg1/Mdm30 is a transcriptional coactivator that stimulates Gal4 turnover and cotranscriptional mRNA processing." Cell. 120(6):887-899. PMID:15797387

We report here that the prototypical yeast transcription factor Gal4 undergoes two distinct modes of ubiquitin-mediated proteolysis: one that occurs independent of transcription and restricts Gal4 function, and another that is transcription coupled and essential for productive activation of Gal4 target genes. Destruction of transcriptionally active Gal4 depends on an F box protein called Dsg1/Mdm30. In the absence of Dsg1, Gal4 is stable, nonubiquitylated, and unable to productively stimulate transcription. Analysis of the phenotype of dsg1-null yeast reveals a striking disconnect between GAL gene RNA and protein levels; in the absence of Dsg1, Gal4 target genes are transcribed, but the resulting RNAs are not translated. The translational defects of these RNAs are related to defects in phosphorylation of the RNA polymerase II carboxy-terminal domain, which in turn affects recruitment of RNA processing machinery. We propose that Gal4 ubiquitylation and destruction are required for initiation-competent transcription complexes to transition to fully mature elongating complexes capable of appropriate mRNA processing.

14. [ ] Thomson JM, et al. (2005) "Resurrecting ancestral alcohol dehydrogenases from yeast." Nat Genet. 37(6):630-635. PMID:15864308

Modern yeast living in fleshy fruits rapidly convert sugars into bulk ethanol through pyruvate. Pyruvate loses carbon dioxide to produce acetaldehyde, which is reduced by alcohol dehydrogenase 1 (Adh1) to ethanol, which accumulates. Yeast later consumes the accumulated ethanol, exploiting Adh2, an Adh1 homolog differing by 24 (of 348) amino acids. As many microorganisms cannot grow in ethanol, accumulated ethanol may help yeast defend resources in the fruit. We report here the resurrection of the last common ancestor of Adh1 and Adh2, called Adh(A). The kinetic behavior of Adh(A) suggests that the ancestor was optimized to make (not consume) ethanol. This is consistent with the hypothesis that before the Adh1-Adh2 duplication, yeast did not accumulate ethanol for later consumption but rather used Adh(A) to recycle NADH generated in the glycolytic pathway. Silent nucleotide dating suggests that the Adh1-Adh2 duplication occurred near the time of duplication of several other proteins involved in the accumulation of ethanol, possibly in the Cretaceous age when fleshy fruits arose. These results help to connect the chemical behavior of these enzymes through systems analysis to a time of global ecosystem change, a small but useful step towards a planetary systems biology.

15. [ ] Chiolo I, et al. (2005) "Srs2 and Sgs1 DNA helicases associate with Mre11 in different subcomplexes following checkpoint activation and CDK1-mediated Srs2 phosphorylation." Mol Cell Biol. 25(13):5738-5751. PMID:15964827

Mutations in the genes encoding the BLM and WRN RecQ DNA helicases and the MRE11-RAD50-NBS1 complex lead to genome instability and cancer predisposition syndromes. The Saccharomyces cerevisiae Sgs1 RecQ helicase and the Mre11 protein, together with the Srs2 DNA helicase, prevent chromosome rearrangements and are implicated in the DNA damage checkpoint response and in DNA recombination. By searching for Srs2 physical interactors, we have identified Sgs1 and Mre11. We show that Srs2, Sgs1, and Mre11 form a large complex, likely together with yet unidentified proteins. This complex reorganizes into Srs2-Mre11 and Sgs1-Mre11 subcomplexes following DNA damage-induced activation of the Mec1 and Tel1 checkpoint kinases. The defects in subcomplex formation observed in mec1 and tel1 cells can be recapitulated in srs2-7AV mutants that are hypersensitive to intra-S DNA damage and are altered in the DNA damage-induced and Cdk1-dependent phosphorylation of Srs2. Altogether our observations indicate that Mec1- and Tel1-dependent checkpoint pathways modulate the functional interactions between Srs2, Sgs1, and Mre11 and that the Srs2 DNA helicase represents an important target of the Cdk1-mediated cellular response induced by DNA damage.

16. [ ] Ptacek J, et al. (2005) "Global analysis of protein phosphorylation in yeast." Nature. 438(7068):679-684. PMID:16319894

Protein phosphorylation is estimated to affect 30% of the proteome and is a major regulatory mechanism that controls many basic cellular processes. Until recently, our biochemical understanding of protein phosphorylation on a global scale has been extremely limited; only one half of the yeast kinases have known in vivo substrates and the phosphorylating kinase is known for less than 160 phosphoproteins. Here we describe, with the use of proteome chip technology, the in vitro substrates recognized by most yeast protein kinases: we identified over 4,000 phosphorylation events involving 1,325 different proteins. These substrates represent a broad spectrum of different biochemical functions and cellular roles. Distinct sets of substrates were recognized by each protein kinase, including closely related kinases of the protein kinase A family and four cyclin-dependent kinases that vary only in their cyclin subunits. Although many substrates reside in the same cellular compartment or belong to the same functional category as their phosphorylating kinase, many others do not, indicating possible new roles for several kinases. Furthermore, integration of the phosphorylation results with protein-protein interaction and transcription factor binding data revealed novel regulatory modules. Our phosphorylation results have been assembled into a first-generation phosphorylation map for yeast. Because many yeast proteins and pathways are conserved, these results will provide insights into the mechanisms and roles of protein phosphorylation in many eukaryotes.

17. [ ] Graumann J, et al. (2004) "Applicability of tandem affinity purification MudPIT to pathway proteomics in yeast." Mol Cell Proteomics. 3(3):226-237. PMID:14660704

A combined multidimensional chromatography-mass spectrometry approach known as "MudPIT" enables rapid identification of proteins that interact with a tagged bait while bypassing some of the problems associated with analysis of polypeptides excised from SDS-polyacrylamide gels. However, the reproducibility, success rate, and applicability of MudPIT to the rapid characterization of dozens of proteins have not been reported. We show here that MudPIT reproducibly identified bona fide partners for budding yeast Gcn5p. Additionally, we successfully applied MudPIT to rapidly screen through a collection of tagged polypeptides to identify new protein interactions. Twenty-five proteins involved in transcription and progression through mitosis were modified with a new tandem affinity purification (TAP) tag. TAP-MudPIT analysis of 22 yeast strains that expressed these tagged proteins uncovered known or likely interacting partners for 21 of the baits, a figure that compares favorably with traditional approaches. The proteins identified here comprised 102 previously known and 279 potential physical interactions. Even for the intensively studied Swi2p/Snf2p, the catalytic subunit of the Swi/Snf chromatin remodeling complex, our analysis uncovered a new interacting protein, Rtt102p. Reciprocal tagging and TAP-MudPIT analysis of Rtt102p revealed subunits of both the Swi/Snf and RSC complexes, identifying Rtt102p as a common interactor with, and possible integral component of, these chromatin remodeling machines. Our experience indicates it is feasible for an investigator working with a single ion trap instrument in a conventional molecular/cellular biology laboratory to carry out proteomic characterization of a pathway, organelle, or process (i.e. "pathway proteomics") by systematic application of TAP-MudPIT.

18. [ ] Smith MG, et al. (2004) "Microbial synergy via an ethanol-triggered pathway." Mol Cell Biol. 24(9):3874-3884. PMID:15082781

We have discovered a microbial interaction between yeast, bacteria, and nematodes. Upon coculturing, Saccharomyces cerevisiae stimulated the growth of several species of Acinetobacter, including, A. baumannii, A. haemolyticus, A. johnsonii, and A. radioresistens, as well as several natural isolates of Acinetobacter. This enhanced growth was due to a diffusible factor that was shown to be ethanol by chemical assays and evaluation of strains lacking ADH1, ADH3, and ADH5, as all three genes are involved in ethanol production by yeast. This effect is specific to ethanol: methanol, butanol, and dimethyl sulfoxide were unable to stimulate growth to any appreciable level. Low doses of ethanol not only stimulated growth to a higher cell density but also served as a signaling molecule: in the presence of ethanol, Acinetobacter species were able to withstand the toxic effects of salt, indicating that ethanol alters cell physiology. Furthermore, ethanol-fed A. baumannii displayed increased pathogenicity when confronted with a predator, Caenorhabditis elegans. Our results are consistent with the concept that ethanol can serve as a signaling molecule which can affect bacterial physiology and survival.

19. [ ] Vollert CS, et al. (2004) "The phox homology (PX) domain protein interaction network in yeast." Mol Cell Proteomics. 3(11):1053-1064. PMID:15263065

The phox homology (PX) domain is a phosphoinositide-binding domain that is conserved from yeast to human. Here we show for the first time by genome-wide two-hybrid screens and in vitro binding assays that the PX domain is a bona fide protein interaction domain. The yeast PX domain-only proteins Grd19p (YOR357C) and Ypt35p (YHR105W), as well as the isolated PX domains from Mvp1p (YMR004W), Snx42p/Cvt20p/Atg20p (YDL113C), Vam7p (YGL212W), and Vps17p (YOR132W), yielded a total of 40 reproducible two-hybrid interactions. Thirty-five interactions were found for the full-length proteins of Bem1p (YBR200W), Snx42p, Snx4p/Cvt13p (YJL036W), Vam7p, Vps5p (YOR069W), and Vps17p, but these appear not to require the PX domain, because these interactions could not be reproduced with PX-only baits. Interactions of Grd19p, Vam7p, Vps5p, Vps17p, and Ypt35p with members of the Yip1p family of proteins were detected consistently and were verified by in vitro binding assays. The N-terminal cytoplasmic domain of Yip1p and Yif1p mediates these interactions with PX domains. A mutation in the lipid-binding pocket of Ypt35p that reduces lipid binding markedly does not affect these PX domain protein interactions, arguing that lipid binding uses a different interaction surface than protein binding.

20. [ ] Panse VG, et al. (2004) "A proteome-wide approach identifies sumoylated substrate proteins in yeast." J Biol Chem. 279(40):41346-41351. PMID:15292183

The ubiquitin-related protein SUMO-1 is covalently attached to proteins by SUMO-1 ligases. We have performed a proteome-wide analysis of sumoylated substrate proteins in yeast. Employing the powerful affinity purification of Protein A-Smt3 (Smt3 is the yeast homologue of SUMO-1) from yeast lysates in combination with tandem liquid chromatography mass spectrometry, we have isolated potential Smt3-carrying substrate proteins involved in DNA replication and repair, chromatin remodeling, transcription activation, Pol-I, Pol-II, and Pol-III transcription, 5' pre-mRNA capping, 3' pre-mRNA processing, proteasome function, and tubulin folding. Employing tandem affinity purifications or a rapid biochemical assay referred to as "SUMO fingerprint," we showed that several subunits of RNA polymerases I, II, and III, members of the transcription repression and chromatin remodeling machineries previously not known to be sumoylated, are modified by SUMO-1. Thus, the identification of a broad range of SUMO-1 substrate proteins is expected to lead to further insight into the regulatory aspects of sumoylation.

21. [ ] Dickinson JR, et al. (2003) "The catabolism of amino acids to long chain and complex alcohols in Saccharomyces cerevisiae." J Biol Chem. 278(10):8028-8034. PMID:12499363

The catabolism of phenylalanine to 2-phenylethanol and of tryptophan to tryptophol were studied by (13)C NMR spectroscopy and gas chromatography-mass spectrometry. Phenylalanine and tryptophan are first deaminated (to 3-phenylpyruvate and 3-indolepyruvate, respectively) and then decarboxylated. This decarboxylation can be effected by any of Pdc1p, Pdc5p, Pdc6p, or Ydr380wp; Ydl080cp has no role in the catabolism of either amino acid. We also report that in leucine catabolism Ydr380wp is the minor decarboxylase. Hence, all amino acid catabolic pathways studied to date use a subtly different spectrum of decarboxylases from the five-membered family that comprises Pdc1p, Pdc5p, Pdc6p, Ydl080cp, and Ydr380wp. Using strains containing all possible combinations of mutations affecting the seven AAD genes (putative aryl alcohol dehydrogenases), five ADH genes, and SFA1, showed that the final step of amino acid catabolism (conversion of an aldehyde to a long chain or complex alcohol) can be accomplished by any one of the ethanol dehydrogenases (Adh1p, Adh2p, Adh3p, Adh4p, Adh5p) or by Sfa1p (formaldehyde dehydrogenase.)

22. [ ] Chen CN, et al. (2003) "Associating protein activities with their genes: rapid identification of a gene encoding a methylglyoxal reductase in the yeast Saccharomyces cerevisiae." Yeast. 20(6):545-554. PMID:12722185

Methylglyoxal is associated with a broad spectrum of biological effects, including cytostatic and cytotoxic activities. It is detoxified by the glyoxylase system or by its reduction to lactaldehyde by methylglyoxal reductase. We show that methylglyoxal reductase (NADPH-dependent) is encoded by GRE2 (YOL151w). We associated this activity with its gene by partially purifying the enzyme and identifying by MALDI-TOF the proteins in candidate bands on SDS-PAGE gels whose relative intensities correlated with specific activity through three purification steps. The candidate proteins were then purified using a glutathione-S-transferase tag that was fused to them, and tested for methylglyoxal reductase activity. The advantage of this approach is that only modest protein purification is required. Our approach should be useful for identifying many of the genes that encode the metabolic pathway enzymes that have not been associated with a gene (about 275 in S. cerevisiae, by our estimate).

23. [ ] Hazbun TR, et al. (2003) "Assigning function to yeast proteins by integration of technologies." Mol Cell. 12(6):1353-1365. PMID:14690591

Interpreting genome sequences requires the functional analysis of thousands of predicted proteins, many of which are uncharacterized and without obvious homologs. To assess whether the roles of large sets of uncharacterized genes can be assigned by targeted application of a suite of technologies, we used four complementary protein-based methods to analyze a set of 100 uncharacterized but essential open reading frames (ORFs) of the yeast Saccharomyces cerevisiae. These proteins were subjected to affinity purification and mass spectrometry analysis to identify copurifying proteins, two-hybrid analysis to identify interacting proteins, fluorescence microscopy to localize the proteins, and structure prediction methodology to predict structural domains or identify remote homologies. Integration of the data assigned function to 48 ORFs using at least two of the Gene Ontology (GO) categories of biological process, molecular function, and cellular component; 77 ORFs were annotated by at least one method. This combination of technologies, coupled with annotation using GO, is a powerful approach to classifying genes.

24. [ ] Gavin AC, et al. (2002) "Functional organization of the yeast proteome by systematic analysis of protein complexes." Nature. 415(6868):141-147. PMID:11805826

Most cellular processes are carried out by multiprotein complexes. The identification and analysis of their components provides insight into how the ensemble of expressed proteins (proteome) is organized into functional units. We used tandem-affinity purification (TAP) and mass spectrometry in a large-scale approach to characterize multiprotein complexes in Saccharomyces cerevisiae. We processed 1,739 genes, including 1,143 human orthologues of relevance to human biology, and purified 589 protein assemblies. Bioinformatic analysis of these assemblies defined 232 distinct multiprotein complexes and proposed new cellular roles for 344 proteins, including 231 proteins with no previous functional annotation. Comparison of yeast and human complexes showed that conservation across species extends from single proteins to their molecular environment. Our analysis provides an outline of the eukaryotic proteome as a network of protein complexes at a level of organization beyond binary interactions. This higher-order map contains fundamental biological information and offers the context for a more reasoned and informed approach to drug discovery.

25. [ ] Krogan NJ, et al. (2002) "RNA polymerase II elongation factors of Saccharomyces cerevisiae: a targeted proteomics approach." Mol Cell Biol. 22(20):6979-6992. PMID:12242279

To physically characterize the web of interactions connecting the Saccharomyces cerevisiae proteins suspected to be RNA polymerase II (RNAPII) elongation factors, subunits of Spt4/Spt5 and Spt16/Pob3 (corresponding to human DSIF and FACT), Spt6, TFIIF (Tfg1, -2, and -3), TFIIS, Rtf1, and Elongator (Elp1, -2, -3, -4, -5, and -6) were affinity purified under conditions designed to minimize loss of associated polypeptides and then identified by mass spectrometry. Spt16/Pob3 was discovered to associate with three distinct complexes: histones; Chd1/casein kinase II (CKII); and Rtf1, Paf1, Ctr9, Cdc73, and a previously uncharacterized protein, Leo1. Rtf1 and Chd1 have previously been implicated in the control of elongation, and the sensitivity to 6-azauracil of strains lacking Paf1, Cdc73, or Leo1 suggested that these proteins are involved in elongation by RNAPII as well. Confirmation came from chromatin immunoprecipitation (ChIP) assays demonstrating that all components of this complex, including Leo1, cross-linked to the promoter, coding region, and 3' end of the ADH1 gene. In contrast, the three subunits of TFIIF cross-linked only to the promoter-containing fragment of ADH1. Spt6 interacted with the uncharacterized, essential protein Iws1 (interacts with Spt6), and Spt5 interacted either with Spt4 or with a truncated form of Spt6. ChIP on Spt6 and the novel protein Iws1 resulted in the cross-linking of both proteins to all three regions of the ADH1 gene, suggesting that Iws1 is likely an Spt6-interacting elongation factor. Spt5, Spt6, and Iws1 are phosphorylated on consensus CKII sites in vivo, conceivably by the Chd1/CKII associated with Spt16/Pob3. All the elongation factors but Elongator copurified with RNAPII.

26. [ ] Palecek SP, et al. (2000) "Genetic analysis reveals that FLO11 upregulation and cell polarization independently regulate invasive growth in Saccharomyces cerevisiae." Genetics. 156(3):1005-1023. PMID:11063681

Under inducing conditions, haploid Saccharomyces cerevisiae perform a dimorphic transition from yeast-form growth on the agar surface to invasive growth, where chains of cells dig into the solid growth medium. Previous work on signaling cascades that promote agar invasion has demonstrated upregulation of FLO11, a cell-surface flocculin involved in cell-cell adhesion. We find that increasing FLO11 transcription is sufficient to induce both invasive and filamentous growth. A genetic screen for repressors of FLO11 isolated mutant strains that dig into agar (dia) and identified mutations in 35 different genes: ELM1, HSL1, HSL7, BUD3, BUD4, BUD10, AXL1, SIR2, SIR4, BEM2, PGI1, GND1, YDJ1, ARO7, GRR1, CDC53, HSC82, ZUO1, ADH1, CSE2, GCR1, IRA1, MSN5, SRB8, SSN3, SSN8, BPL1, GTR1, MED1, SKN7, TAF25, DIA1, DIA2, DIA3, and DIA4. Indeed, agar invasion in 20 dia mutants requires upregulation of the endogenous FLO11 promoter. However, 13 mutants promote agar invasion even with FLO11 clamped at a constitutive low-expression level. These FLO11 promoter-independent dia mutants establish distinct invasive growth pathways due to polarized bud site selection and/or cell elongation. Epistasis with the STE MAP kinase cascade and cytokinesis/budding checkpoint shows these pathways are targets of DIA genes that repress agar invasion by FLO11 promoter-dependent and -independent mechanisms, respectively.

27. [ ] Kusano M, et al. (1998) "Hemiacetal dehydrogenation activity of alcohol dehydrogenases in Saccharomyces cerevisiae." Biosci Biotechnol Biochem. 62(10):1956-1961. PMID:9836432

Some methylotrophic yeasts produce methyl formate from methanol and formaldehyde via hemiacetal formation. We investigated Saccharomyces cerevisiae to find whether this yeast has a carboxylate ester producing pathway that proceeds via hemiacetal dehydrogenation. We confirmed that the purified alcohol dehydrogenase (Adh) protein from S. cerevisiae can catalyze the production of esters. High specific activities were observed toward the hemiacetals corresponding to the primary alcohols when ether groups were substituted for methylene groups, resulting in the formation of formate esters. Both ADH and methyl formate synthesizing activities were sharply reduced in the delta adh1 delta adh2 mutant. The ADH1 and ADH2 genes encode the major Adh proteins in S. cerevisiae. Thus, it was concluded that the S. cerevisiae Adh protein catalyzes activities for the production of certain carboxylate esters.

28. [ ] Dujon B, et al. (1997) "The nucleotide sequence of Saccharomyces cerevisiae chromosome XV." Nature. 387(6632 Suppl):98-102. PMID:9169874

Chromosome XV was one of the last two chromosomes of Saccharomyces cerevisiae to be discovered. It is the third-largest yeast chromosome after chromosomes XII and IV, and is very similar in size to chromosome VII. It alone represents 9% of the yeast genome (8% if ribosomal DNA is included). When systematic sequencing of chromosome XV was started, 93 genes or markers were identified, and most of them were mapped. However, very little else was known about chromosome XV which, in contrast to shorter chromosomes, had not been the object of comprehensive genetic or molecular analysis. It was therefore decided to start sequencing chromosome XV only in the third phase of the European Yeast Genome Sequencing Programme, after experience was gained on chromosomes III, XI and II. The sequence of chromosome XV has been determined from a set of partly overlapping cosmid clones derived from a unique yeast strain, and physically mapped at 3.3-kilobase resolution before sequencing. As well as numerous new open reading frames (ORFs) and genes encoding tRNA or small RNA molecules, the sequence of 1,091,283 base pairs confirms the high proportion of orphan genes and reveals a number of ancestral and successive duplications with other yeast chromosomes.

29. [ ] Goffeau A, et al. (1996) "Life with 6000 genes." Science. 274(5287):546, 563-546, 567. PMID:8849441

The genome of the yeast Saccharomyces cerevisiae has been completely sequenced through a worldwide collaboration. The sequence of 12,068 kilobases defines 5885 potential protein-encoding genes, approximately 140 genes specifying ribosomal RNA, 40 genes for small nuclear RNA molecules, and 275 transfer RNA genes. In addition, the complete sequence provides information about the higher order organization of yeast's 16 chromosomes and allows some insight into their evolutionary history. The genome shows a considerable amount of apparent genetic redundancy, and one of the major problems to be tackled during the next stage of the yeast genome project is to elucidate the biological functions of all of these genes.

30. [ ] Ganzhorn AJ, et al. (1987) "Kinetic characterization of yeast alcohol dehydrogenases. Amino acid residue 294 and substrate specificity." J Biol Chem. 262(8):3754-3761. PMID:3546317

A three-dimensional model of yeast alcohol dehydrogenase, based on the homologous horse liver enzyme, was used to compare the substrate binding pockets of the three isozymes (I, II, and III) from Saccharomyces cerevisiae and the enzyme from Schizosaccharomyces pombe. Isozyme I and the S. pombe enzyme have methionine at position 294 (numbered as in the liver enzyme, corresponding to 270 in yeast), whereas isozymes II and III have leucine. Otherwise the active sites of the S. cerevisiae enzymes are the same. All four wild-type enzymes were produced from the cloned genes. In addition, oligonucleotide-directed mutagenesis was used to change Met-294 in alcohol dehydrogenase I to leucine. The mechanisms for all five enzymes were predominantly ordered with ethanol (but partially random with butanol) at pH 7.3 and 30 degrees C. The wild-type alcohol dehydrogenases and the leucine mutant had similar kinetic constants, except that isozyme II had 10-20-fold smaller Michaelis and inhibition constants for ethanol. Thus, residue 294 is not responsible for this difference. Apparently, substitutions outside of the substrate binding pocket indirectly affect the interactions of the alcohol dehydrogenases with ethanol. Nevertheless, the substitution of methionine with leucine in the substrate binding site of alcohol dehydrogenase I produced a 7-10-fold increase in reactivity (V/Km) with butanol, pentanol, and hexanol. The higher activity is due to tighter binding of the longer chain alcohols and to more rapid hydrogen transfer.

31. [ ] Williamson VM, et al. (1980) "Isolation of the structural gene for alcohol dehydrogenase by genetic complementation in yeast." Nature. 283(5743):214-216. PMID:6985717