Comparative proteome analysis of Saccharomyces cerevisiae: A global overview of in vivo targets of the yeast activator protein 1
© Jun et al.; licensee BioMed Central Ltd. 2012
Received: 15 December 2011
Accepted: 3 April 2012
Published: 9 June 2012
The activity of the yeast activator protein 1 (Yap1p) increases under stress conditions, which leads to enhanced transcription of a number of genes encoding protective enzymes or other proteins. To obtain a global overview of changes in expression of Yap1p-targeted proteins, we compared a Yap1p-overexpressing transformant with a control transformant by triplicate analysis of the proteome using two-dimensional gel electrophoresis (2-DE). Proteins of interest were identified using MALDI-MS or LC-MS/MS.
The relative quantities of 55 proteins were elevated significantly upon overexpression of Yap1p, and most of these proteins were found to have a Yap1p-binding site upstream of their coding sequences. Interestingly, the main metabolic enzymes in the glycolysis and pyruvate-ethanol pathways showed a significant increase in the Yap1p-overexpressing transformant. Moreover, a comparison of our proteome data with transcriptome data from the literature suggested which proteins were regulated at the level of the proteome, and which proteins were regulated at the level of the transcriptome. Eight proteins involved in stress response, including seven heat-shock and chaperone proteins, were significantly more abundant in the Yap1p-overexpressing transformant.
We have investigated the general protein composition in Yap1p-overexpressing S. cerevisiae using proteomic techniques, and quantified the changes in the expression of the potential Yap1p-targeted proteins. Identification of the potential Yap1p targets and analysis of their role in cellular processes not only give a global overview of the ubiquitous cellular changes elicited by Yap1p, but also provide the framework for understanding the mechanisms behind Yap1p-regulated stress response in yeast.
KeywordsYap1 Saccharomyces cerevisiae Transcription factor Stress response Proteome
The completion of the Saccharomyces cerevisiae genome project and molecular analysis of other fungal species has resulted in the identification of a growing number of yeast AP-1 transcription factors . Characterization of these factors indicates that, like their mammalian counterparts, they activate gene expression in response to a variety of extracellular stimuli [1–4]. The S. cerevisiae transcription factor Yap1p belongs to the bZip (basic domain/leucine zipper) family of transcription factors that includes the yeast Gcn4p and the mammalian activator protein-1 proteins Fos and Jun . Yap1p plays an important role in oxidative stress response and multidrug resistance by activating target genes encoding protective enzymes or other proteins [4–7]. These observations were corroborated by the analysis of yeast lacking specific Yap1 proteins and by the identification of genes with Yap1p-dependent expression [8–11]. More recently, we found that transcription of the YAP1 gene in yeast was elevated in the presence of coniferyl aldehyde, an inhibitory compound derived from lignocellulose, and that overexpression of Yap1p in S. cerevisiae contributed to enhanced resistance against lignocellulose-derived inhibitory compounds and lignocellulosic hydrolysates [12, 13]. However, the mechanisms behind Yap1p-regulated protective responses are still poorly understood.
Yap1p activates transcription by binding to specific DNA sequences located in the promoter of its target genes . Currently, four predicted Yap1p-binding sites (TKACAAA, TGACTAA, TGACTCA, and TTACTAA) have been identified in hundreds of genes [14–16]. Obviously, the Yap1-regulated adaptation to various stimuli strongly depends on the expression of these target genes. To gain insights into how Yap1p regulates the protective response and how the yeast cell adapts to a changing environment, it is very important to get a global overview of changes in expression of these target genes .
DNA microarrays provide a practical and economical tool for studying expression of nearly every gene in yeast [18, 19]. This approach can, in principle, be used to identify all the transcription targets of regulatory proteins like Yap1p. However, accumulating evidence indicates that mRNA abundance does not always correlate well with protein expression levels [19, 20]. The present study was conducted to explore the changes in expression of Yap1p-targeted proteins at the proteome level. For this purpose, we utilized an S. cerevisiae transformant overexpressing Yap1p and performed triplicate analyses of the proteome by two-dimensional gel electrophoresis (2-DE). Proteins of interest were identified using mass spectrometry (MS). This study provides the mapping of the Yap1p-targeted proteins in S. cerevisiae and offers a global overview of the ubiquitous cellular changes elicited by overexpression of this important yeast transcription factor. To our knowledge this is the first report on the effect of Yap1 overexpression on the yeast proteome.
Overexpression of Yap1p in S. cerevisiae
2-DE analyses of protein extracts from S. cerevisiae
Yeast cells from both cultures were harvested and proteins were extracted using the extraction protocol developed by Kolkman et al. , which we further optimized for our yeast samples. In the protocol developed by Kolkman et al., the cells are lyophilized and subsequently vortexed with glass beads prior to boiling with SDS. In order to improve cell disruption, we introduced an additional step. Before the SDS boiling, the yeast cells were disrupted in extraction buffer containing thiourea. Cell debris which was not dissolved in the extraction buffer was further exposed to boiling with SDS. More high-molecular-mass proteins (> 70 kDa) were observed on the 2-D gels when this optimized extraction protocol was adopted.
Comparative proteome analysis of S. cerevisiae
Relative changes in protein expression on overexpression of Yap1p. 1
Normalized averaged spot quantity
Protein involved in carbon metabolism pathways
Glyceraldehyde-3-phosphate dehydrogenase 1
Glyceraldehyde-3-phosphate dehydrogenase 2
Glyceraldehyde-3-phosphate dehydrogenase 3
Phosphoglycerate mutase 1
Pyruvate kinase 1
Pyruvate decarboxylase isozyme 1
Alcohol dehydrogenase 1
D-lactate dehydrogenase 3
Pentose phosphate pathway
6-phosphogluconate dehydrogenase 1
Protein involved in pathways other than carbon metabolism
Amino-acid and nucleotide metabolism
Aromatic amino acid aminotransferase 2
Elongation factor 2
Elongation factor 3A
Elongation factor 1-gamma 2
Small glutamine-rich tetratricopeptide repeat-containing protein 2
40 S ribosomal protein S7-A
Glycyl-tRNA synthetase 1
78 kDa glucose-regulated protein
60 S ribosomal protein L5
60 S acidic ribosomal protein P0
40 S ribosomal protein S3
Heat-shock and chaperone proteins
Heat shock protein
Heat shock protein
Heat shock protein
Heat shock protein
ATP-dependent molecular chaperone
ATP-dependent molecular chaperone
Heat shock protein homolog
NADPH dehydrogenase 2
ATP synthase subunit beta
Cell cycle and growth regulation
Nuclear segregation protein
Cell division control protein 48
V-type proton ATPase subunit A
V-type proton ATPase subunit B
Ribonucleoside-diphosphate reductase small chain 2
Importin subunit alpha
Uncharacterized GTP-binding protein
Uncharacterized protein YNL134C
Eight proteins involved in stress response were identified that were significantly more abundant in the Yap1p-overexpressing transformant. These proteins include seven heat-shock and chaperone proteins (Ssa1p, Ssa2p, Ssb1p, Ssb2p, Hsp82p, Hsc82p, and Sse1p) and one peroxiredoxin (Tsa1p). Compared to the control transformant, most of the heat-shock and chaperone proteins showed more than 2-fold increase in the Yap1p-overexpressing transformant (Table 1). Moreover, 13 proteins involved in protein biosynthesis and 10 proteins involved in cell cycle and growth regulation were identified on the 2D gels. The combined spot volumes of all the identified proteins increased about two-fold (Figure 3B).
While the results reported were reproducibly obtained on all 2-D gels analyzed, it should be noted that some spots might have contained co-migrating proteins that were not detected in the MALDI-MS analysis. These proteins would have affected the relative quantification of the up-regulated proteins. As MALDI-MS identifies the prevalent proteins that are present in a gel sample, these errors are, however, considered to be negligible.
The yeast transcription factor Yap1p is crucial for the normal response of yeast cells to a variety of stress conditions including oxidative stress, drug-induced stress, and heat shock [1, 2]. Previous studies indicated that most stress conditions induced the activity of Yap1p and, as a consequence, resulted in elevated expression of a number of genes encoding proteins that protect the cells against stress-induced damage [4–7]. Although, Yap1p-dependent expression of a diverse range of proteins is essential for viability, a major unresolved question concerns the complete pattern of proteins expressed in a cell upon Yap1p overexpression. We report here the first characterization of the proteome of Yap1p-overexpressing yeast. The experimental approach enables the analysis of the relative protein levels under conditions that mimic stress (Yap1p-overexpression). This resulted in many changes in the levels of proteins involved in crucial biological pathways.
Relatively few of the identified proteins in the glycolysis and pyruvate-ethanol pathways exhibited more than two-fold increment in the Yap1p-overexpressing yeast. The response suggests that the levels are affected by Yap1p in different ways, and that other factors may also play a role in the regulation. Moreover, none of the enzymes in the citric acid cycle (TCA cycle) were found to be significantly up-regulated upon Yap1p-overexpression. This is probably a result of the anaerobic cultivation conditions. During alcoholic fermentation of sugars, the glycolytic genes are the most efficiently expressed genes in yeast, and glycolytic enzymes comprise over 30% of the soluble cell protein . Moreover, two crucial enzymes (Pdc1p and Adh1p) involved in the pyruvate-ethanol pathway were significantly up-regulated in the Yap1p-overexpressing yeast, and that would probably result in a shortage of substrate (pyruvate) for the TCA cycle. An alternative mode of glucose oxidation is offered by the pentose phosphate pathway, which provides the cell with pentose sugars and cytosolic NADPH, necessary for biosynthetic reactions, such as the production of fatty acids, amino acids, and sugar alcohols . Importantly, the pathway is also necessary to protect yeast cells against oxidative stress, since NADPH is an essential cofactor for anti-oxidative enzymes . In the present study, two proteins (Tkl1p and Gnd1p) involved in this pathway were identified on the 2-D gels as occurring at higher levels in Yap1p-overexpressing yeast (Table 1).
Overexpression of Yap1p in S. cerevisae resulted in up-regulation of a number of proteins involved in stress response, including seven heat-shock and chaperone proteins (Hsps), and one peroxiredoxin (Table 1). The expression of Hsps is one of the conserved mechanisms of cellular protection . Expression of Hsps was first observed when fruit flies were exposed to high temperatures . However, an elevation of temperature is not the only way to induce the expression of Hsps. Heavy metals, ethanol, oxygen radicals and peroxides are among a large group of agents that can induce Hsps [31–33]. Since stress response also induce the activity of Yap1p [1, 34], our result suggests that Yap1p may be an important activator for Hsps when yeast cells are exposed to stress conditions. The peroxiredoxin Tsa1p was 1.4-fold up-regulated upon overexpression of Yap1p. Tsa1p belongs to a family of thiol-specific peroxidases that catalyze the reduction of peroxides through oxidation of Cys . It has also been identified as the key peroxidase suppressing genome instability and protecting against cell death in yeast . However, the up-regulation of Tsa1p was relatively modest (Table 1), and the role of Tsa1p in Yap1p-mediated stress response remains elusive. The number of identified antioxidant proteins was rather less than expected, since Yap1p has been described primarily as a central regulator of the response to oxidative stress in S. cerevisiae.
A number of proteins involved in cell cycle and growth regulation were identified on the 2-D gels. Interestingly, the protein with the highest absolute increase was the endo-beta-1,3-glucanase (Bgl2p), which is involved in yeast cell wall maintenance . Another significantly up-regulated protein was the cell-division control protein 48 (Cdc48p), which is an abundant and evolutionarily conserved protein involved in many aspects of cellular activities, including homotypic membrane fusion of organelles, ERAD, ubiquitin/proteasome-mediated protein degradation, and cell-cycle control [38–40]. Interestingly, Cdc48p has been observed to participate in the maintenance of the yeast cell wall . Yap1p-mediated up-regulation of Bgl2p and Cdc48p in yeast may be of great importance, since the cell wall gives the cell rigidity and strength, and offers protection against a variety of different forms of stress.
To investigate if the genes encoding these up-regulated proteins are potential transcription targets of Yap1p, we have searched upstream of each nucleotide sequence for the predicted Yap1p-binding sites [14–16]. As expected, most genes encoding the identified proteins were found to have a binding site in their promoter region (Table 1). This indicates that most of the up-regulated proteins are transcription targets of Yap1p. However, none of the four predicted binding sites were observed on the coding sequences of proteins such as the glycolytic enzymes Hxk2p, Pgi1p and Tdh2p, which suggests that their levels are affected by Yap1p in a different way.
We have investigated the general protein composition in Yap1p-overexpressing S. cerevisiae using proteomic techniques, and quantified the changes in the expression of the potential Yap1p-targeted proteins. Mapping the changes in protein expression levels provides insight on how S. cerevisiae adapts to a conventional stress condition resulting in activation of Yap1p. Moreover, we were able to elucidate if gene expression in the glycolytic and pyruvate-ethanol pathways are primarily regulated at the level of the proteome or of the transcriptome. Importantly, studies of Yap1p using different experimental conditions may help to further improve our understanding of its effect. Identification of the potential Yap1p-targeted proteins and their mapping into cellular processes not only give a global overview of the ubiquitous cellular changes elicited by Yap1p, but also provide the framework for understanding the mechanisms behind Yap1p-regulated protective response in yeast.
Transformants and preparation of inoculums
All yeast transformants (a Yap1p-overexpressing transformant and a control transformant) that were used in this study were previously constructed and stored in our laboratory . Yeast transformants designated Y (with the YAP1 gene under the control of PGK1 promoter) and C (negative control carrying the same plasmid but without any YAP1 gene) were streaked on SC–Ura agar plates (20 g/l glucose, 6.7 g/l yeast nitrogen base without amino acids, 10% amino-acid supplement solution × 10 excluding uracil, and 20 g/l agar) , which were then incubated at 30 °C for 72 h. Inoculum cultures of the two S. cerevisiae transformants were prepared in 500 ml shake flasks with 140 ml of SC-Ura medium (excluding the agar). The flasks were inoculated with cells from the agar plates and incubated for approximately 17 h at 30 °C with agitation (Infors Ecotron, Infors AG, Bottmingen, Switzerland). The cells were harvested in the exponential growth phase by centrifugation at 1,200 × g for 10 min at 4 °C (Allegra X-22R, Beckman Coulter, Brea, CA, USA). The cells were then resuspended in a suitable amount of sterile H2O to yield an inoculum of 0.1 g/l (DW) in all bioreactor vessels.
Yeast fermentation in multi-bioreactor
The cultivation of the two transformants Y and C was carried out with a multi-bioreactor system (Sixfors from Infors AG, Bottmingen, Switzerland). Four 350-ml-bioreactor vessels (two vessels per transformant) equipped with condensers, FermProbe pH-electrodes (Broadley James Corporation, Irvine, CA) and OxyProbe polarographic dissolved-oxygen sensors (pO2-electrodes) (Broadley James Corporation) were sterilized through autoclavation and filled with 250 ml modified SC–Ura medium. The composition of the medium was: 40 g/l glucose, 13.4 g/l yeast nitrogen base without amino acids, 10% amino-acid supplement solution × 10 excluding uracil, 0.1% of an ergosterol/Tween 80 mixture (consisting of 10 g/l ergosterol and 420 g/l Tween 80), and 8 drops of antifoam.12 The pH electrodes and the pO2 electrodes were calibrated prior to start-up. Two ml of inoculum were added to each bioreactor vessel to an initial biomass concentration of 0.1 g/l (DW). Throughout the fermentation, the temperature was kept at 30 °C, the stirring was kept at 300 rpm, and the pH was kept at 5.5 by automatic addition of 0.5 M NaOH. Nitrogen gas (15 l/h) was used to maintain anaerobic conditions. The fermentation was discontinued after seven hours when the cells were in the exponential growth phase and had reached a cell density of 1 g/l (DW). The yeast cells were harvested by centrifugation at 3,000 × g for 5 min at 4 °C, and stored at −80 °C before protein extraction.
Protein extraction and purification
Yeast protein extracts were prepared for analysis with 2-DE using a modified approach of Kolkman et al. . In brief, about 100 mg of lyophilized cell pellet were resuspended in 600 μl extraction buffer [7 M urea, 2 M thiourea, 4% (w/v) CHAPS (3-[(3-cholamidopropyl) dimethylammonio]-1-propanesulfonate), 40 mM dithiothreitol]. Protease inhibitor cocktail (Calbiochem, La Jolla, CA) and glass beads (acid washed, 425–600 μm, Sigma-Aldrich, St. Louis, MO) were added to the cell suspension. Cells were disrupted by vortexing six times 60 s (the samples were cooled on ice for 30 s in between the vortex steps). The cell extract was transferred to a fresh tube and centrifuged at 20,000 × g for 10 min at 4 °C. The supernatant was transferred completely to a fresh microcentrifuge tube and recovered as Fraction 1. The insoluble fractions were suspended in 400 μl SDS-buffer (2% SDS, 40 mM Tris, 60 mM DTT) by thorough vortexing and pipetting up and down with a 200 μl pipette tip for 10 times. The sample was boiled for 10 min and subsequently cooled on ice. After centrifugation for 10 min (20,000 × g, 4 °C), the supernatant (Fraction 2) was then transferred to a fresh microcentrifuge tube and mixed with Fraction 1. Subsequently, 75 μl of a DNase and RNase solution [1% (w/v) DNase I, 0.25% (w/v) RNase A, 50 mM MgCl2, 0.5 M Tris–HCl, pH 7.0] were added and the combined fractions were incubated on ice. The mixed protein extract was then purified by using a 2-D Clean-Up Kit (GE Healthcare, Uppsala, Sweden), and the purified protein sample was dissolved in rehydration solution [7 M urea, 2 M thiourea, 4% (w/v) CHAPS, 0.002% (w/v) bromophenol blue] supplemented with 2% (v/v) 3–10 NL IPG buffer (GE Healthcare) and 5.4 mg/ml dithiothreitol. Total protein concentration was determined using the 2-D Quant Kit (GE Healthcare). Aliquots of extracellular protein samples were stored at −80 °C before proteomic assays.
The peaklist files of the processed mass spectra of spots 1 to 78 are provided in the appendix. Additional file 1: Spots 1 to 73 were analysed by MALDI-TOF-MS and the peaklist files are available in the supplementary zip files: Additional file 2: 1-5_MALDI_MS_data, Additional file 3: 6-10_MALDI_MS_data, Additional file 4: 11-15_MALDI_MS_data, Additional file 5: 16-20_MALDI_MS_data, Additional file 6: 21-25_MALDI_MS_data, Additional file 7: 26-30_MALDI_MS_data, Additional file 8: 31-35_MALDI_MS_data, Additional file 9: 36-40_MALDI_MS_data, Additional file 10: 41-45_MALDI_MS_data, Additional file 11: 46-50_MALDI_MS_data, Additional file 12: 51-55_MALDI_MS_data, Additional file 13: 56-60_MALDI_MS_data, Additional file 14: 61-65_MALDI_MS_data, Additional file 15: 66-69_MALDI_MS_data,_and Additional file 16: 70-73_MALDI_MS_data. As for spots 74 to 78, analysis was performed by LC-MS/MS and the corresponding mzML files are provided in the supplementary zip files Additional file 17: 74_LC_MS_MS_data, Additional file 18: 75_LC_MS_MS_data, Additional file 19: 76_LC_MS_MS_data, Additional file 20: 77_LC_MS_MS_data, and Additional file 21: 78_LC_MS_MS_data.
Western-blot analysis of Yap1 protein
The crude protein extracts were separated by SDS-PAGE after adding 5× Laemmli sample buffer and boiling. The separated proteins were transferred onto a PVDF membrane by semi-dry blotting and probed (1:2000 dilution, incubated overnight at 4 °C) with a rabbit polyclonal antibody directed against amino-acid residues 351–650 at the C-terminus of S. cerevisiae Yap1p (Santa Cruz Biotechnology, Santa Cruz, CA). Goat anti-rabbit IgG-HRP (Santa Cruz Biotechnology) was used as secondary antibody. Bound antibodies were detected by the ECL Prime western blotting detection reagent (GE Healthcare) using a CCD-based imager (ImageQuant LAS 4000, GE Healthcare).
2-D gel electrophoresis
For the first dimension (IEF), an amount of 200 μg of protein (300 μl) prepared as described in section Protein Extraction and Purification was loaded on a 13 cm Immobiline Dry-Strip pH 3–10 NL (GE Healthcare), and the IPG strips were rehydrated overnight at room temperature. Isoelectric focusing (IEF) was performed with a Multiphor II system (GE Healthcare) at 20 °C with a 3-phase gradient program: 500 V for 0.25 kVh, 3500 V for 5.25 kVh, and 3500 V for 45 kVh. Prior to the second dimension (SDS-PAGE), the IPG strips were incubated for 15 min in equilibration buffer [50 mM Tris–HCl, 6 M urea, 30% (v/v) glycerol, 2% (w/v) SDS, 0.002% (w/v) bromophenol blue] containing 1% (w/v) dithiothreitol, followed by 15 min incubation in equilibration buffer containing 2.5% (w/v) iodoacetamide. Second-dimension electrophoresis was performed on PROTEINTM II electrophoresis system (Bio-Rad, Hercules, CA). The IPG strips were placed on top of 12.5% polyacrylamide gels and sealed with a solution of 1% (w/v) agarose containing a trace of bromophenol blue. The vertical gels were run at 10 mA per gel for 30 min followed by 25 mA per gel until the bromophenol blue had migrated to the bottom of the gel. The temperature was maintained at 15 °C using MultiTemp III system (GE Healthcare). Proteins were visualized using SYPRO Ruby Protein Gel Stain (Invitrogen, Carlsbad, CA). The SYPRO Ruby-stained gels were scanned at 532 nm using a Typhoon 9400 scanner (GE Healthcare).
Experimental design, image analysis, and statistics
For each transformant, namely Yap1p-overexpressing transformant and control transformant, 2-D gels were run in triplicate. Additionally, a master 2-D gel was prepared, which contained a 1:1 mixture of the protein extract from the two yeast transformants. That gel, which should contain all protein spots present on the 2-D gels with samples from the Yap1p-overexpressing and the control transformant, was used during image analysis as a master gel. Image analysis was performed using the ImageMaster II software (GE Healthcare). The quantitative and statistical analyses were performed using suitable functions within the ImageMaster II software and Excel software (Microsoft, Redmond, WA). The normalized intensity of spots on three replicate 2-D gels was averaged and the standard deviation was calculated. The relative change in protein abundance for the Yap1p-overexpressing transformant (Y) versus the control transformant (C) (indicated with “fold change Y/C”) for each protein spot was calculated by dividing the averaged spot quantity from gels with samples from the Yap1p-overexpressing transformant by the averaged spot quantity from gels with samples from the control transformant. A two-tailed non-paired Student’s t-test was performed to determine if the relative change was statistically significant.
In-gel tryptic digestion
Protein spots of interest were picked from the 2-D gels using an Ettan Spotpicking Station (GE Healthcare) and destained three times using a fresh solution of 20 mM ammonium bicarbonate containing 35% (v/v) acetonitrile (ACN). Subsequently, the gel pieces were dried by two washes using 100% neat acetonitrile and re-hydrated on ice using a solution of sequencing grade modified trypsin (Promega, Madison, WI) in 20 mM ammonium bicarbonate. The trypsin concentration depended on the intensity of the spots and was 2 to 3 ng/µl. The re-hydrated gel samples were incubated in 37 °C for overnight digestion and either analyzed immediately or stored at −20 °C until further analysis.
MALDI-MS spectra for peptides were acquired using a Voyager DE-STR mass spectrometer (AB SCIEX, Framingham, MA, USA) as described by Yao et al. . LC-MS/MS combined with ESI-ion-trap MS was performed using an HCT-Ultra ETD II mass spectrometer from Bruker (Bremen, Germany) linked to an Easy-nLC system from Proxeon (Odense, Denmark). Spectra were acquired using the enhanced scanning mode covering a mass range from m/z 350 to m/z 1300. The LC separation of peptides was performed using a 5 µm C18 column (375 μm OD/75 μm ID × 10 cm) from NanoSeparations (Nieuwkoop, The Netherlands) and a 30 min gradient ranging from 0 to 60 percent of acetonitrile. The flow rate was 300 nl min-1. Data processing was performed using the Data Analysis software (4.0 SP4) (Bruker, Bremen, Germany) using default setting for processing and AutoMSn detection of compounds.
Database searches using the peak list files (mgf-format) of the processed mass spectra were performed using an in-house license of Mascot (http://www.matrixscience.com), and searches were performed using the Swiss-Prot or NCBInr database. As for MALDI-MS spectra, a mass error of 50 ppm and one missed cleavage sites were permitted. In addition, variable modifications allowed included methionine oxidation and carbamidomethylation of cysteine residues. As for LC-MS/MS data a mass error of 0.3 Da was allowed for both the MS and MS/MS mode and variable modifications were set as for the database searches with the MALDI-MS data.
We thank Dr. Björn Alriksson for help with the cultivation of yeast cells. This work was supported by the Kempe Foundations, the Knut and Alice Wallenberg Foundation, the Bio4Energy program (http://www.bio4energy.se), the Carl Trygger Foundation (TK) and the Swedish Research Council (822-2007-3473).
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