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Molecular & Cellular Proteomics 2:1198-1204, 2003.
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| ABSTRACT |
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In Saccharomyces cerevisiae, the mitogen-activated protein kinase high-osmolarity glycerol (HOG)1p1 mediates the osmotic induction of many stress-responsive genes (2). Activation of HOG1p constitutes an early phase of the salinity stress response, which then appears to diverge into different pathways. One pathway is mediated by the transcription factors Msn2p/Msn4p binding to stress-response elements and leads to the transcription of many stress-responsive genes (3). The HOG pathway controls expression of genes encoding enzymes in glycerol production. Glycerol is the main yeast osmolyte, and its production is essential for growth in a high-osmolarity medium (2).
To obtain a more complete understanding of how yeast cells respond to salt stress at the molecular level, a systematic tk;4and quantitative analysis of mRNA as well as protein expression is necessary. Although several DNA microarray-based analyses have been carried out to study the transcriptional response of yeast cells to high salinity (47), a large-scale analysis of protein expression profiles has not been performed.
In theory, post-harvest labeling with stable isotopes can be used for protein quantitation in cells and tissues from any organism. The isotope-coded affinity tags (ICAT) strategy is a leading technology for relative protein quantification, relying on post-harvested, stable isotope labeling (8). The ICAT reagent consists of three components: (i) a reactive group that reacts with the free thiol functionality of cysteine residues; (ii) a linker in which stable isotopes have been incorporated; and (iii) a biotin tag that makes possible affinity isolation and detection of peptides labeled with either the heavy or light versions of the ICAT reagent. ICAT-labeled peptides elute as pairs from a reverse-phase column. By calculating the ratio of the areas under the curve for identical peptide peaks labeled with the light and heavy ICAT reagent, the relative abundance of that peptide in each sample can be determined, which is directly related to the abundance of the corresponding protein. In addition, because the ICAT reagents are specific for cysteinyl residues, the complexity of the original peptide mixture is greatly reduced. The original ICAT reagents featured either eight deuterium or hydrogen atoms at particular positions in the linker. However, 2H- and 1H-labeled peptides show slightly different elution profiles during reversed-phase chromatography, which makes it difficult to quantitatively compare a single moment in time (9). In addition, the rather hydrophobic biotin affinity tag causes peptides to elute in a relatively narrow time window.
Strong cation exchange (SCX) chromatography is often used as a primary separation tool prior to peptide sequence analysis by reversed-phase liquid chromatography-tandem mass spectrometry (LC-MS/MS). Indeed, the ICAT strategy incorporates SCX chromatography prior to affinity purification of ICAT-labeled peptides (8). However, other separation strategies are also possible. For example, Aebersold and colleagues (10) used two-dimensional gel electrophoresis to separate ICAT-labeled proteins prior to analysis of gel spots by LC-MS/MS. Finally, the use of SDS-PAGE as a primary separation strategy followed by excising the entire gel lane into a manageable number of samples has been successfully implemented as an alternative proteome analysis technology, with hundreds to thousands of proteins identified (1115). This whole-gel lane analysis strategy is termed "geLC-MS" to denote the use of multiple dimensions of separation (SDS-PAGE and reversed-phase chromatography).
This study presents the use of cleavable (c)ICAT reagents for the large-scale quantitative profiling of protein expression after salinity stress. In this article, we have tried to highlight novel features of the new reagents, provide their use for the study of salinity stress in yeast, and describe the use of SDS-PAGE as a substitute for SCX chromatography in a multidimensional separation strategy. A total of 560 proteins were identified and quantified, and of these 51 displayed more than 2-fold expression differences in response to salinity stress. Twenty-seven of the proteins with abundance changes had not been previously reported to be involved in salinity stress.
| EXPERIMENTAL PROCEDURES |
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10 mg/ml, using Protein Assay kit (Bio-Rad, Hercules, CA).
Labeling Proteins with cICAT Reagents
Protein concentration was adjusted to 1 mg/ml using the extraction buffer (50 mM Tris, pH 8.5, 5 mM EDTA, and 0.1% SDS). Protein samples were reduced by adding 2 µl of 50 mM Tris(2-carboxy-ethyl)phosphine hydrochloride (TCEP; Sigma-Aldrich, St. Louis, MO) to each vial containing 100 µl of protein sample (four vials for control and four vials for the salt treatment). The samples were boiled for 10 min. A reduced protein sample (100 µl) from the NaCl-treated yeast cells or control was transferred into the vial containing cICAT heavy or light reagent (Applied Biosystems, Framingham, MA), respectively, and then mixing them. After a brief centrifugation, samples were incubated for 2 h at 37 °C in the dark. The labeled samples were then combined into one tube and dried using a SpeedVac (Thermo Savant, Waltham, MA).
Separation of Labeled Proteins by SDS-PAGE and In-Gel Trypsin Digestion
The dried ICAT-labeled proteins (400 µg from NaCl-treated yeast cells and 400 µg from control yeast cells) were reconstituted in 100 µl SDS electrophoresis sample buffer prior to separation on a 520%-gradient SDS-polyacrylamide gel (140 mm wide, 140 mm high, 15 mm thick, prepared in the laboratory) until the front tracking dye was approximately 8 cm below the stacking gel. The gel was briefly stained with Coomassie blue. The gel lane containing the ICAT-labeled samples was cut horizontally into 14 bands of similar size. Each gel band was cut into approximately 1-mm3 plugs and transferred into a 1.5-ml tube prior to in-gel digestion using 1.4 µg sequencing-grade trypsin (Promega, Madison, WI) in 300 µl digestion buffer (50 mM NH4HCO3, pH 8.5) per band. Trypsin digestion was carried out at 37 °C overnight. The supernatant was collected, and fresh NH4HCO3 solution (50 mM) was added. The gel plugs were incubated in the buffer for 20 min at room temperature. The supernatant was collected, and a solution containing 50% acetonitrile and 1% acetic acid was added to cover the gel pieces. The gel pieces were incubated in the buffer for 20 min at room temperature, and the supernatant was collected. The last elution procedure was repeated twice prior to pooling all supernatants. The combined supernatants were concentrated to approximately 100 µl using a SpeedVac.
Affinity Purification and Cleavage of ICAT-labeled Peptides
To affinity-purify the ICAT-labeled peptides, 30 µl of 25% acetonitrile, 5 mM KH2PO4, and 350 mM KCl (pH 2.7) and 500 µl of Affinity Load Buffer (pH 7.2) (Applied Biosystems) were added to the tryptic digests prior to loading the ICAT-labeled peptides onto an avidin cartridge (Applied Biosystems) following the manufactures protocol. The eluate from the avidin cartridge was completely dried in a SpeedVac.
Identification and Quantitation of Proteins by Mass Spectrometry
The dried ICAT-labeled peptides were dissolved in a solution containing 5% acetonitrile, 0.4% acetic acid, 0.005% heptafluorobutyric acid, and 5% formic acid and pressure-loaded onto a fused silica microcapillary (100-µm ID x 10 cm) reversed-phase column packed, in the laboratory, with Magic C18 beads (Michrom BioResources, Auburn, CA). An Agilent 1100 high-performance liquid chromatography system (Agilent Technologies, Palo Alto, CA) was used to deliver a gradient across a flow splitter to the column (16). Eluting peptides from the column were ionized by electrospray ionization and analyzed using an API QSTAR Pulsar mass spectrometer (Applied Biosystems/MDS SCIEX). The most intense peptide ions were dynamically selected by the operating software for fragmentation. The ProID and ProICAT software packages (Applied Biosystems) were used for the identification and quantitation of proteins based on the peptides analyzed during the LC-MS/MS experiment. ProID provides a peptide match by correlating acquired-tandem mass spectra with computer-predicted spectra. The best matching peptides are returned to the investigator in a database format (Microsoft Access; Microsoft, Redmond, WA). ProICAT is then used to calculate an expression ratio for each ICAT-labeled peptide identified by ProID. The data were searched against the yeast protein database followed by manual interpretation of all MS/MS spectra from proteins with changes greater than 2-fold.
| RESULTS AND DISCUSSION |
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The original ICAT protocol uses ion exchange chromatography after the ICAT labeling and mixing of the two samples to remove excess derived reagents (8). We, however, opted against ion exchange chromatography and used SDS-PAGE instead, for several reasons. First, using gel electrophoresis on the ICAT samples efficiently removes excess reagents, salts, and detergents, and allows easy buffer changes for the following digestion step. Second, gel-separated proteins are highly denatured and, therefore, easily accessible for digestion. Finally, proteins are pre-fractionated according to molecular weight. This reduces complexity of the sample, thereby increasing the number of proteins that can be identified, while increasing the confidence of protein identifications because the molecular weight can be used as an additional criterion for the evaluation of protein identifications. The workflow is outlined in Fig. 1.
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Figure 2 shows the identical elution pattern and retention times for cICAT-labeled peptide pairs. The elution profiles of a relatively long peptide pair (FQTFSDCEPIIPLYLEHDIDAPK) from asparagine synthetase (Asn)2p and a shorter peptide pair (ALGINCR) derived from dihydroxyacetone kinase (Dak)1p are shown in Fig. 2 A and B, respectively. Both pairs of isotopomers show virtually the same retention times during reversed-phase chromatography irrespective of peptide length (7 versus 23 residues).
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Our studies showed that the new generation ICAT reagents and the modified protocol provided improved performance. For instance, the differences in the elution behavior of the 2H- versus 13C-ICAT reagents were clearly observed in experiments testing the properties of both ICAT reagents. Fig. 3A shows the base peak chromatogram of a yeast sample labeled with the 2H-ICAT reagent. The biotin moiety has masked the differences in hydrophobicity of the peptides such that the majority of the peptides eluted in a time window approximately one-half the size as the smaller 13C-ICAT-labeled peptides (Fig. 3B).
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The eight proteins found to be decreased in abundance in response to 0.7 M-NaCl treatment were involved in phospholipid transport (Sfh5), protein synthesis (Grs1), purine metabolism (Ade17, and Ade5,7), cell wall architecture (Ecm33), and vesicular transport (Sec21), as well as hypothetical proteins (YNL132W and YOR252W) (Table II). However, the transcript levels of only one gene (YNL132W) have been reported to be down-regulated in response to salinity (4).
Inconsistencies between mRNA levels and their corresponding protein levels have been reported in a number of studies (1922). In fact, an excellent correlation between mRNA levels and protein changes of steady state would only be expected for transcriptionally regulated genes. Several possible explanations for the discrepancies include differential selection of mRNAs for translation, sequestration of mRNA from translation, and/or regulated protein degradation.
Yeast cells respond to amino acid starvation by increasing transcription of amino acid biosynthetic genes (23). High salinity inhibits amino acid uptake in yeast (24), which can cause amino acid starvation. Our finding that salt stress increased the protein abundance of amino acid synthesis genes (Table I) suggests that salt stress and amino acid starvation are physiologically connected.
Interestingly, we found that four RNA-binding proteins (Arc1, Nab2, Nup133, and Rrp9) increased their abundance in response to salt stress (Table I). It is known that yeast cells respond to heat stress by selectively exporting mRNAs encoding heat-shock proteins (25), and this export requires certain RNA-binding proteins (26). Whether the RNA-binding proteins we found play a role in exporting and/or stabilizing RNAs important for salt stress will be the subject of future studies.
It is critical to detect regulated alterations in protein levels occurring during cellular processes and in response to environmental stimuli such as salt stress. Accurate determination of differentially expressed protein levels in a biological process can provide a more complete understanding of the molecular mechanism. The cICAT strategy provides a large-scale and generic strategy for protein quantification in a variety of types of samples, including primary tissues from all organisms.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Published, MCP Papers in Press, September 23, 2003, DOI 10.1074/mcp.M300070-MCP200
1 The abbreviations used are: HOG, high-osmolarity glycerol; cICAT, cleavable isotope-coded affinity tags; SCX, strong cation exchange; LC-MS/MS, liquid chromatography-tandem mass spectrometry. ![]()
* This work was funded by grants from the National Institutes of Health (HG00041 and GM67945). The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. ![]()
S The on-line version of this article (available at http://www.mcponline.org/) contains Table SI. ![]()
J. L. and H. S. contributed equally to this work. ![]()
To whom correspondence should be addressed. Department of Cell Biology, 240 Longwood Avenue, Harvard Medical School, Boston, MA 02115-5730. E-mail: Steven_gygi{at}hms.harvard.edu.
| REFERENCES |
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