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Molecular & Cellular Proteomics 3:596-607, 2004.
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| ABSTRACT |
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28% of our profile, was the proteins involved in protein biosynthesis, showing a time-dependent biphasic expression pattern characteristic with rapid initial induction and later repression. Most significantly, 27 proteins functionally classified as cell rescue and defense were up-regulated for oxygen and radical detoxification, heat shock response, and other stress response. Furthermore, the large precursor sequence coverage of our AACT approach allowed us to unequivocally identify and quantitate different isozymes for glutathione S-transferase, which have close similarity in their amino acid sequence. Our quantitative dataset also showed that 80% of the up-regulated proteins found in the S. pombe response were different from those in the Saccharomyces cerevisiae response. The function of some of the key identifications was validated through biochemical assays. It is very interesting that the induction of cysteine synthase expression was not observed in our study, although it has been proven as a critical enzyme to supply free cysteines for the enhancing synthesis of Cd2+-sequestering molecules such as glutathione and phytochelatins in plants and some yeasts. Our quantitative proteomic result instead suggested that, as an alternative mechanism for the detoxification of Cd2+, S. pombe produced significantly higher level of inorganic sulfide to immobilize cellular Cd2+ as a form of CdS nanocrystallites capped with glutathione and/or phytochelatins.
Living organisms have evolved several defensive mechanisms to overcome Cd2+ toxicities (13, 1013). In eukaryotes, cells sequester Cd2+ as biologically inactive forms with cysteine-rich peptides such as glutathione (GSH),1 phytochelatins (PCs), and/or metallothioneins (MTs) (3, 1113). The mechanisms by which mammalian cells protect themselves against this toxic metal ion are very complex and not well understood (13, 14). However, the structural and functional similarity of genes in lower eukaryotes and mammals suggests that more in-depth understanding of the molecular basis of the cellular responses to toxic Cd2+ in lower organisms will provide useful insights into the mechanisms in human cells (15). A fission yeast Schizosaccharomyces pombe and a budding yeast Saccharomyces cerevisiae have become valuable tools for the study of basic cellular functions of eukaryotic cells because of the ease of genetic manipulation and the availability of the complete genomic sequences of the both yeast species (1619).
Compared with the molecular/cellular biological studies of individual genes or proteins one at a time as has traditionally been done, the global analysis either at a genomic or at a proteomic level allows for a systematic overview of thousands of genes or their products in a species at the same time (2023). Proteomics can produce more accurate and comprehensive information than what genomic studies can provide because protein expressions are regulated not only at transcriptional but also at translational levels, resulting in more details about mature proteins and their interactions than genome-based prediction (23). Therefore, significant discrepancies between mRNA and protein levels have also been found in several studies (2426). It is inevitable that study of the cellular responses to different stresses at the proteomic level will inform us what gene products are actually expressed and their changes. In this regard, proteomics complements other functional genomics approaches such as microarray-based expression profiles, systematic phenotypic profiles at the cell and organism level, and small-molecule-based arrays (20).
A number of affinity- or mass-tagging methods such as isotope-coded affinity tag (ICAT) and other isotopic labeling strategies have been introduced for mass spectrometry (MS)-based quantitative proteomics and have proved to be useful for both the identification and quantification of proteins on a large scale (27, 28). Our strategy of residue-specific or amino acid-coded mass tagging (AACT) with stable isotopes through in vivo/in vitro cell culturing has provided internal quantitative markers for cellular proteins expressing in different conditions on a proteome scale (2931). Without the need for two-dimensional (2D) gel electrophoresis-based high-resolution protein separation, we apply this AACT strategy to large-scale protein identification and concurrent high-throughput quantification to determine all possible protein factors sensitive to Cd2+ stress. We have further investigated the nature of those proteins in the cell rescue and defense to counteract Cd2+ toxicities. Alternative mechanism for scavenging free Cd2+ ions through the production of inorganic sulfide to form a nanocrystalline complex, CdS-GSH/PCs, has been postulated based on our proteomic dataset.
| EXPERIMENTAL PROCEDURES |
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Yeast Cell Culture and Protein Extraction
Yeast cells were innoculated into 10 ml of either normal leucine-containing synthetic minimal medium (SD medium; light) or isotope-labeled leucine (Leu-d3)-containing SD medium (heavy) and incubated overnight at 30 °C. The SD medium consists of 0.17% yeast nitrogen base containing all the essential vitamins, salts, and trace elements for cell growth, 0.5% ammonium sulfate, 2% dextrose, and 0.01% of leucine. The medium components were sterilized by autoclaving for 20 min at 120 °C. Cd2+ ions in the form of CdSO4 (in 0.01 N HCl) were added to the mid-exponentially growing culture (A600
0.35) at a final concentration of 1 mM. To precisely determine the regulated proteins caused only by Cd2+ exposure, control cells were separately prepared under the same conditions except for the absence of Cd2+ treatment. Cells were harvested at designated time points after Cd2+ addition and washed twice with milli-Q H2O (Millipore Corp., Bedford, MA) to remove excess medium. The cells were then resuspended in 50 mM Tris HCl (pH 8.0), 5% ß-mercaptoethanol, 0.3% SDS, and protease inhibitor mixture (1 tablet/50 ml). Protein samples for the quantification were prepared by mixing the control cells grown in the light medium with the cells treated with Cd2+ in the heavy medium at a 1:1 ratio and by vortexing with glass beads for 10 min at 4 °C followed by centrifugation at 14,000 rpm for 10 min at 4 °C to clarify the soluble proteins.
Separation and Tryptic Digestion of Proteins
Extracted proteins (50 µg) were mixed with SDS-PAGE sample buffer and heated at 95 °C for 5 min. The denatured proteins were then separated on 12.5% polyacrylamide SDS gels and stained by Coomassie dye (G-250). All protein bands were sliced from the gel, destained with 50% (v/v) acetonitrile in 50 mM NH4HCO3, and completely dried in a speed-vacuum centrifuge. Then 15 µl of sequencing-grade modified trypsin (12.5 µg/ml in 50 mM NH4HCO3) was added to the dried gel slices that were incubated for 30 min on ice. The unabsorbed solution was removed before 45 µl of 50 mM NH4HCO3 was added to the rehydrated slices. These samples were incubated at 37 °C overnight. Tryptic digestion was stopped by adding 5 µl of 2% trifluoroacetic acid (TFA). The digested peptides were extracted from each gel slice by sonication in 0.1% TFA and 50% acetonitrile/0.1% TFA for 45 min. Both supernatants were combined and lyophilized.
Nanospray Microcapillary Liquid Chromatography Tandem Mass Spectrometry (µLC-MS/MS)
The digested peptides were analyzed by LC-MS/MS using a QSTAR Pulsar I mass spectrometer (Applied Biosystems, Foster City, CA) coupled with LC Packings Ultimate Microcapillary LC system (Dionex, Sunnyvale, CA). Five microliters of sample using an autosampler was loaded into a 10-µl sample loop and then pumped onto the C18 preconcentration column at a flow rate of 30 µl/min by a sample-loading pump. Three minutes after starting the sample loading, the 10-port valve was switched to a preconcentration cartridge in line with the nano-flow solvent delivery system, thus enabling the trapped peptides to be eluted onto the analytical column. The peptides were eluted from the analytical column with a linear gradient of solvent B (5% for 5 min, 550% for 50 min, then 75% for 10 min) at flow rate of 200 nl/min. Solvent A is 0.1% formic acid and 5% acetonitrile. Solvent B is 0.1% formic acid and 95% acetonitrile. The end of the analytical column was connected with a 10-µm inner diameter PicoTip nanospray emitter (New Objective, Woburn, MA) by a stainless steel union (Valco Instrument, Houston, TX) mounted on the nanospray source (Protana Engineering, Odense, Denmark). The spray voltage (usually set between 1800 and 2100 V) was applied to the emitter through the stainless steel union and tuned to obtain the best signal intensity using standard peptides. The two most intense ions with the charge states in between 2 and 4 in each survey scan were selected for MS/MS experiments. The rolling collision energy feature was employed to fragment the peptide ions according to their charge states and m/z value.
Protein Identification and Quantitative Analysis
The identity of both peptides of each isotope pair was confirmed by MS/MS sequencing. The QSTAR instrumental default for mass isolation window is usually set on 3 Da, and this mass window is adjustable. Depending on where the lower mass end of the ion cursor will be set, which is usually 0.5 Da less than the light isotope signal, each individual isotope peak (light or heavy) could programmatically be selected for a MS/MS experiment. Also, because there is only a 3-Da split for each Leu-d3-containing peptide, we could set the low-mass ion cursor end close enough to the light isotope peaks so that both isotope peaks were fragmented simultaneously in a pair that could serve as pair signal validation. Tracking the paired signals in each MS/MS spectrum, we were able to determine the real isotope pairs for quantitation. Once confirmed, LC-MS/MS data were searched against the Sanger Institute S. pombe protein database using the ProID program available on the QSTAR instrument. Peptides hits with scores better than 30 in ProID were acceptable as good matches. Because we used Leu-d3 in cell culture for amino acid-specific mass tagging, those peptides containing leucine were further analyzed for the quantification of differentially expressed proteins. If the database search identified certain peptides as the leucine-containing peptides, we first manually inspected the raw MS/MS data for characteristic 3n-Da mass-split patterns (n is the number of leucine) as previously described (30). This process can also validate the database search results. For those Leu-d3-containing peptides satisfying both criteria, the quantitative results for their corresponding proteins were obtained by examining the peptide mass map of certain precursor ions on chromatographic profiles, and the induction ratios of proteins were obtained both by measuring the mono-isotopic peak intensity of unlabeled (light) and Leu-d3-labeled (heavy) peptides and by comparing the integral peak areas of the pairs. Both measurements showed similar ratios unless there was severe signal overlapping in mass spectra. In cases where the light and heavy isotope distributions overlapped, the ratios were determined by applying an isotopic correction factor as following. The peptide sequence was submitted to the web-based tool MS-isotope, which is part of the ProteinProspector package (prospector.ucsf.edu), for determining theoretical isotope intensity distribution. The theoretical isotope pattern of the light peaks in the peptide pair was then subtracted from the apparent isotope pattern to obtain the correct intensities of the heavy peaks.
Assays for Thiol Groups, GSH, Inorganic Sulfide, and Cysteine Synthase Activity
Total nonprotein thiols and GSH were estimated following the methods described by Grassetti and Murray (32) and Anderson (33), respectively. Briefly, 1 ml of cells were harvested, washed twice with distilled water, resuspended in 0.2 ml of 5% sulfosalicylic acid, and disrupted by vortexing with 0.1 ml of glass beads. For the analysis of thiols, 50 µl of the supernatant was mixed with 930 µl of 0.2 M sodium acetate (pH 4.0) and 20 µl of 2,2'-dithiodipyridine (DTDP) stock solution (7 mg of DTDP in 2 ml of 1 N HCl and 8 ml of 0.2 M sodium acetate, pH 4.0). The reaction mixture was vortexed and incubated for 1 h at room temperature. The amount of the thiols was estimated by reading absorbance at 343 nm. GSH and cysteine were used as standards for calibration. Then 20 µl of the supernatant was used for the analysis of GSH using cyclic assay.
To analyze the acid-labile inorganic sulfide using a method by King and Morris (34), 1 ml of the culture was harvested by centrifugation at 18,000 x g for 1 min. The cell pellet was resuspended in 0.4 ml of 1.5 M NaOH and incubated at 95 °C for 15 min. The suspension was vigorously vortexed, mixed with 0.25 ml of zinc acetate (2.6% in water) and 0.125 ml of N,N-dimethyl-p-phenlenediamine dihydrochloride (0.1% in 5 N HCl), and vortexed for 1 min. Then 0.05 ml of ferric chloride was quickly added (11.5 mM in 0.6 N HCl), vortexed, and incubated at room temperature for 30 min. Then, 0.425 ml of deionized water was added, vortexed, and centrifuged at 18,000 x g for 10 min. The absorbance of the supernatant was recorded at 670 nm.
The activity of cysteine synthase was measured following the method by Hirase and Molin (35). One milliliter of cells were broken in phosphate-buffered saline buffer containing glass beads. Then 50 µl of the supernatant was transferred to 50 mM phosphate buffer (1 ml, pH 7.5) containing 5 mM O-acetyl serine, 1 mM sodium sulfide, 1 mM DTT, and 0.025 mM pyridoxal-5'-phosphate. The reaction mixture was incubated for 60 min at 30 °C. The reaction was stopped by adding 0.5 ml of 20% trichloracetic acid and centrifuged for 10 min at 2000 x g. A total of 250 µl of the supernatant was used for assaying the synthesized cysteine by a ninhydrin method (36).
| RESULTS |
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0.35), and culture aliquots were collected at 1, 4, and 12 h after Cd2+ exposure, respectively, whereas the control cells in the light medium containing normal leucine were harvested at the same time points without adding Cd2+. We selected 1 mM Cd2+ to treat the exponentially growing cells for inducing observable cell responses at the protein level after carefully examining the cell survival curve (Fig. 1), and minimum cell death was observed at this Cd2+ concentration, which was used in other recent studies (3739). Proteins were analyzed from the cell cultures collected at three different time points to see whether the change is transient or constitutive. Cadmium treatment produced varying kinetics of the global change at the proteomic level (Supplementary Tables I and II). During the experimental time span, proteins generally showed a conserved change even with different ratios, either up- or down-regulation. However, some proteins, especially many ribosomal proteins, showed to be up-regulated at early time points, but later down-regulated (Table I). It is not clear yet whether this inverting regulation of some ribosomal proteins is related to the increasing demand for the synthesis of heavy metal scavenging molecules at an early stage. Reduction in the synthesis of ribosomal proteins at a later stage would permit energy and other resources to be diverted toward other mechanisms involved in surviving under cadmium stress. With the assistance of leucine-specific mass tagging, a total of 1133 proteins that represent
25% of the total annotated genes were identified for the fission yeast cells from more than 23,000 MS/MS spectra.
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Molecular Mass and pI Distributions of the Identified Proteins
The distribution of molecular masses of the proteins identified is shown in Supplementary Fig. S1A. More than 75% of total gene products predicted are located in the range of 1070 kDa. Our dataset showed 70% of the identified proteins are in this range. The majority of the up-regulated proteins are in the range of 1040 kDa (62.3%), whereas relatively few proteins have molecular masses greater than 70 kDa (10.4%). The dominance of the low-molecular-mass proteins might be due to those proteins related to protein biosynthesis, protein metabolisms, and detoxification (see "Functional Classification of the Proteomic Dataset"). The down-regulated proteins also showed a similar pattern in the molecular mass distribution (data not shown). Our method was very effective to identify various proteins cross the entire range of molecular masses, covering 21 ± 2.5 and 35 ± 1.5% for the proteins in the range of 1070 and above 70 kDa, respectively.
pI values of the identified proteins showed a bimodal distribution (Supplementary Fig. S1B). It has been found in both prokaryotes and eukaryotes that cytosolic proteins cluster around pI 5.06.0, whereas integral membrane proteins around pI 8.59.0 (40, 41). Our proteomic results showed the first cluster centered at 5.06.0 originated from the cytosolic proteins. The second cluster showed a slightly broader distribution around 8.59.5 due to the abundance of the expressed ribosomal proteins. Most of the up-regulated proteins clustered around pI values of 5.56.5, whereas a second cluster was further shifted to a more basic region, around 10.011.0. The second cluster was found to exclusively consist of ribosomal proteins. It should be noted that the ribosomal proteins with high pI values can be easily missed from 2D-PAGE-based analysis because the isoelectric focusing separation step excludes the basic proteins (pI > 9.5). However, our method was able to identify more than 80% of total ribosomal proteins because a one-dimensional (1D) SDS-PAGE gel separates proteins according to only their molecular masses, regardless of their pI values.
Functional Classification of the Proteomic Dataset
On the bases of annotations from Swiss-Prot and TrEMBL, MIPS (mips.gsf.de), and the S. pombe database at Sanger Institute (www.sanger.ac.uk/Projects/S_pombe/), 106 up-regulated and 55 down-regulated proteins were functionally classified (Supplementary Fig. S2, A and B, respectively). The complete list of the functionally classified up-regulated proteins is available in Supplementary Table V. The protein factors involved in protein biosynthesis were the most prevalent class including both up-regulated and down-regulated proteins (28 and 41%, respectively). The protein class for protein biosynthesis was also reported in S. cerevisiae as the most prevalent class containing the repressed proteins after Cd2+ treatment, but not among induced proteins (37). Currently, it is not clear whether the up-regulated proteins involved in protein biosynthesis are related to the increased synthesis of proteins for either directly scavenging Cd2+ ions or the detoxification mechanisms of toxic effects produced by Cd2+ ions. The next prevalent class of the up-regulated proteins represented the proteins related to cellular defense mechanism (26%), including heat shock response (11%), oxygen and radical detoxification (8%), and stress response (7%), whereas the proteins involved in nucleotide metabolism belonged to the second most prevalent class of down-regulated proteins (16%). There were no defense-related proteins that were down-regulated except for yeast chaperonine hsp78 homolog. As many as five hypothetical proteins were found to be up-regulated, but none of them were down-regulated. These hypothetical proteins may be participated in cellular detoxification against Cd2+ toxicities, of which functions have not yet elucidated. In addition, six oxidoreductases were up-regulated, indicating that various active cellular responses were invoked against the toxicity of Cd2+ because many oxidoreductases have shown to be involved in the stress-responsive processes (Supplementary Table V) (6, 4244).
Ribosomal Proteins
The proteins involved in protein biosynthesis represented the major functional category among both up- and down-regulated proteins (Supplementary Fig. S2, A and B). There are 42 proteins in the small subunit (40S) and 75 in the large subunit (60S) in the Swiss-Prot/TrEMBl protein database. All of the small subunit proteins were identified in our study. Among the identified small subunit proteins, 10 were up-regulated on the exposure to Cd2+, whereas 10 were down-regulated. We identified 61 large-subunit proteins, indicating 80% identification coverage. Among them, 16, 9, and 12 of identified proteins were up-regulated, down-regulated, and not changed on the exposure to Cd2+, respectively. Two of a total of five cytoplasmic elongation factors were down-regulated, whereas the rest remained unchanged. No elongation factors in the mitochondria were identified. In addition, we identified nine translation initiation factors with five unchanged. The other four proteins were not quantitated. Interestingly, most of the up-regulated ribosomal proteins showed a time-dependent manner on the exposure to Cd2+ (Table I). Fifteen of the 30 up-regulated ribosomal proteins were induced in the cells at 1 h after being exposed to 1 mM Cd2+. However, they were down-regulated later up to 12 h after exposed to Cd2+. The expression level of six proteins, which were induced at 1 h after exposed to Cd2+, were restored back to normal level at either 4 or 12 h later. Two large subunit proteins (L20 and L35) showed the highest expression level at 12 h after Cd2+ exposure. Among 23 down-regulated ribosomal proteins, the expression level of two proteins was restored back to the normal level later, whereas 17 showed the minimal expression level at 12 h after exposure to Cd2+ (data not shown).
Detoxification Proteins
Our AACT-assisted quantitative analysis identified a total of 27 up-regulated proteins from S. pombe exposed to Cd2+ that are involved in the cellular detoxification mechanisms, including oxygen and radical detoxification, heat shock responses, and other responses to a stress (Table II). The production of reactive oxygen species (ROS) is known as one of the major mechanisms of the toxicities exerted by Cd2+ ions (7, 8, 45, 46). It has been recently reported that proteins with antioxidant properties were up-regulated in the budding yeast S. cerevisiae exposed to Cd2+, such as alkyl hydroperoxide reductase, superoxide dismutase [Mn], thioredoxin, and thioredoxin peroxidase (37). Our experiments discovered that all proteins functionally classified as oxygen and radical detoxification were significantly up-regulated, including both S. pombe ortholog proteins of the above proteins identified in S. cerevisiae and catalase, glutaredoxin, superoxide dismutase [Cu-Zn], and thioredoxin reductase (Table II). These antioxidant proteins showed the enhancing induction with increasing exposure time to Cd2+. These data clearly indicate that Cd2+ causes oxidative stress in this microorganism and that the S. pombe cells respond against the Cd2+ stress by enhancing the expression of proteins with antioxidant properties. Fig. 2 shows a quantitative analysis of pmp20, the role of which has been suggested to detoxify ROS (47). Up to 17 leucine-containing peptides were quantitated to determine the expression level of pmp20. The quantification values of the protein from different peptides showed within 3% difference. The expression level of pmp20 remained the same up to 4 h after Cd2+ treatment (Fig. 2B). However, it was enhanced 2.6 times in the cells exposed to Cd2+ for 12 h in comparison to that of the control cells (Fig. 2C).
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Most significantly, our AACT method allowed us to unequivocally identify and quantitate the isozymes that have close similarity in their amino acid sequence because of the larger distribution of leucine residues used as the internal markers (Fig. 3). There are three isozymes for glutathione S-transferase (GST) in S. pombe, GST-I, -II, and -III, which are important in the detoxification of many xenobiotic compounds and in protecting cells from oxidative stress by detoxifying some of the secondary ROS produced when ROS react with cellular components (49, 50). GST-I and GST-II share 79% identical sequences, which makes their identification difficult using other quantitative proteomic approaches such as ICAT. We found two peptide sequences for GST-II (2438 and 185202) distinguishable from those in GST-I, and one sequence (143154) overlapped each other. To unambiguously quantitate the expression of these two isozymes, we first measured the induction ratio of GST-II using two other nonoverlapping sequences, and the value was 3.44 in up-regulation. An overlapped peptide between GST-I and GST-II showed that its heavy isotope peak was 7.36 times higher than the light isotope peak. We subsequently subtracted the value of 3.44, which was contributed from GST-II, from the GST-I and GST-II combined induction value of 7.36. Therefore, GST-I was found to be activated by 3.92 times in S. pombe on the exposure to Cd2+. GST-III was 1.63 times up-regulated with the two distinguishable peptide sequences (5273 and 212226).
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Yeasts and plants respond on the Cd2+ stress by the enhanced synthesis of GSH and PCs to immobilize the toxic metal ions (3, 1114). Therefore, cells need to synthesize more cysteine for enhancing the synthesis of the Cd2+-scavenging molecules, which are cysteine-rich peptides. Accordingly, S. cerevisiae overexpressed the enzymes involved in the synthesis of cysteine from methione (37, 39). On the other hand, S. pombe synthesizes cysteine not from methione but directly from O-acetyl serine through cysteine synthase (52). However, we were not able to identify the enzyme activated in our analysis. We therefore assayed the enzyme activity as shown in Fig. 4A. The enzyme activity did not show any detectable change in the control cells up to 72 h and was not different from those in the literatures (33, 53). Interestingly, this enzyme activity in the Cd2+-treated cells was only 50% of that in the control cells. Although the enzyme activity showed a significant difference, there was no detectable difference in the amount of free cysteine in both cells (data not shown). On exposure to Cd2+, S. pombe produced slightly increased GSH and other thiol-containing molecules (130 and 160%, respectively), of which difference might be PCs, whereas those in control cells were not changed over the entire experimental period (Fig. 4, B and C). The overexpressions of the nonprotein thiols (mainly GSH and PCs) are well consistent with the notion that these molecules are actively involved in the cellular defense mechanism against Cd2+ (3, 1114).
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| DISCUSSION |
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Our data provide a clear overview in regards to how S. pombe cells respond to the Cd2+ stress. Based on our proteomic founding, the Cd2+ detoxification mechanisms in the fission yeast S. pombe responding to the toxic effects of Cd2+ were postulated in two ways as shown in Fig. 5: direct scavenging of free Cd2+ ions and detoxification of toxic effects produced by Cd2+ ions. The direct scavenging process occurs through the formation of nanocrystalline CdS capped with GSH and/or PCs (11, 13,56, 57). Cd2+ is initially complexed with GSH, subsequently transferred to PCs, and finally forms CdS-PCs nanocrystals via incorporation of the inorganic sulfide. The Cd-GSH complex may directly incorporate the sulfide to form CdS-GSH nanocrystals (57). Formation of the nanocrystalline CdS increased both the amount of Cd2+ per molecule and the stability of the complex. Compared with S. pombe, S. cerevisiae utilize GSH as a main Cd2+-scavenging molecule because it lacks biological systems to use PCs and inorganic sulfide, although limited quantities of PC2 has been identified in Cd2+-treated cells (11, 13). This difference might explain why S. pombe showed much higher Cd2+ tolerence than S. cerevisiae. Recently, Vido et al. reported inductions of the enzymes involved in the cysteine biosynthesis for the enhancing synthesis of GSH to scavenge free Cd2+ ions (37). However, S. pombe has a different biosynthesis pathway for cysteine. It is synthesized from O-actylserine (52). Unexpectedly, our proteomic analysis failed to find the up-regulation of cysteine synthase. In order to see whether the failure occurred due to low expression level of the enzyme, we analyzed 20 proteins from a 2D gel, which are positioned around a possible location of the cysteine synthase (43 kDa and 7.63 pI). However, none of them matched to the enzyme, suggesting its extremely low expression level (data not shown). We further measured the activity of cysteine synthase in the cells before and after Cd2+ treatment. The enzyme activity in the Cd2+-treated cells was in fact lower than that in the control cells (Fig. 4A). However, the amounts of free cysteine in both cells were similar and not different from the values in the available literatures (35, 53). It might be possible that the low activity of the enzyme in S. pombe is still sufficient to supply the normal physiological level of cysteine. We also cannot rule out the possibility that S. pombe uses unidentified pathways to synthesize cysteine. With respect to how S. pombe cells produce the enhanced amounts of both GSH and PCs without increasing the synthesis of cysteine, this yeast species might reprogram its metabolism in the presence of Cd2+, repressing the synthesis of some abundant cysteine-rich proteins and concomitantly replacing with low-cysteine isoforms and using the accumulated cysteine to synthesize both thiol molecules, as seen in S. cerevisiae (58). The Cd2+-treated cells produced almost three times higher sulfide than the control cells (Fig. 4D). The increased thiol-containing molecules can initially accommodate the intracellular Cd2+ ions and then incorporate inorganic sulfide to form nanocrystalline CdS-thiol complexes. All of the three components, GSH, PCs, and inorganic sulfide, seem to be essential for the high Cd2+ tolerance in S. pombe because its mutants, which lack any component of the three, showed much more sensitivity to Cd2+ than wild-type cells (5961).
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In summary, for the first time, we report here a global overview of the cellular responses to Cd2+ at the proteomic levels in the fission yeast S. pombe. Our experiments unambiguously revealed 106 up-regulated proteins on exposure to Cd2+, which are the detoxification proteins for ROS, the repair proteins for the cellular constituents damaged by either Cd2+ or ROS, and heat shock proteins. Some of these identifications were also validated using various biochemical assays. S. pombe cells produced significantly higher inorganic sulfide as a direct mechanism for scavenging free Cd2+ ions as a nanocrystalline complex, CdS-GSH/PCs.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Published, MCP Papers in Press, March 4, 2004, DOI 10.1074/mcp.M300122-MCP200
1 The abbreviations used are: GSH, glutathione; AACT, amino acid-coded mass tagging; MS, mass spectrometry; LC-MS/MS, liquid chromatography-tandem mass spectrometry; ORFs, open reading frames; PCs, phytochelatins, MTs, metallothioneins; ROS, reactive oxygen species; SD medium, synthetic minimal medium; DTDP, 2,2'-dithiodipyridine; TFA, trifluoroacetic acid; ICAT, isotope-coded affinity tag; DTT, dithiothreitol; 2D, two-dimensional; 1D, one-dimensional; GST, glutathione S-transferase. ![]()
* This work was supported by Department of Energy Grants ERW9923 and ERW9840 and Los Alamos National Laboratory LDRD 20030508ER (to X. C.). X. C. is a recipient of a Presidential Early Career Award for Scientists and Engineers (20002005). ![]()
S The on-line version of this manuscript (available at http://www.mcponline.org) contains supplemental material. ![]()
To whom correspondence should be addressed: B-2, MS M888, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545. Tel.: 505-665-3197; Fax: 505-665-3024; E-mail: chen_xian{at}lanl.gov
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