Proteomics 2004, 4, 397–406 DOI 10.1002/pmic.200300607 Wojciech Szponarski1 Nicolas Sommerer2 Jean-Christophe Boyer1 Michel Rossignol2 Rémy Gibrat1 Large-scale characterization of integral proteins from Arabidopsis vacuolar membrane by two-dimensional liquid chromatography 1 UMR 5004, Plant Biochemistry & Molecular Physiology, INRA 2 UR 1199, Proteomics, INRA Montpellier, France 397 We developed a method to characterize different classes of membrane proteins within a single experiment and using simple matrix-assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS) analysis. After membrane solubilization with the nondenaturing detergent n-dodecyl-b-D-maltoside, proteins were separated successively by gel filtration and ion-exchange chromatography and finally by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). This procedure allowed to characterize 70 proteins from a membrane fraction enriched in plant vacuolar membrane (Arabidopsis), including integral proteins like the V0 complex of the H1ATPase, the H1-pyrophosphatase or the glutathione S-conjugate ATPase AtMRP1, and peripheral proteins like the subunits of the catalytic V1 complex of the H1-ATPase. Approximately 60% of identified proteins were predicted to possess at least two transmembrane domains. Furthermore, proteins, with molecular masses ranging between 20 and 200 kDa were distributed into two populations with maximum frequencies at pI 5.3 and 8.9. Finally, this procedure appeared to allow the identification of proteins known to be minor in whole-cell extracts like signaling or vesicular trafficking proteins. Almost 50% of the proteins identified were functionally unknown whereas the others confirmed that the plant vacuole is a multipurpose compartment. Keywords: Arabidopsis thaliana / Liquid chromatography / Mass spectrometry / Membrane proteins / Vacuole PRO 0607 1 Introduction Approximately 20–30% of genes in animal, plant, yeast, and bacteria genomes encode integral membrane proteins [1, 2] that are involved in fundamental functions like uptake and compartmentalization of ions and nutriments, or cellular signaling. Membrane proteins are also of considerable importance for diagnostics and therapeutics: 50% of currently known drug targets are either membrane receptors or ion channels [3]. Therefore, a large knowledge of membrane proteomes would be desirable. Presently, the most popular proteomic approach involves the combination of two-dimensional gel electrophoresis (2-DE) with mass spectrometry (MS), which offers simple and straightforward access to large protein patterns, including to their change upon treatments. Unfortunately, Correspondence: Dr. Rémy Gibrat, UMR 5004 – BPMP, INRA, 2 place Viala, F-34060 Montpellier cedex 1, France E-mail: [email protected] Fax: 133-(0)4-6752-5737 Abbreviations: AA, amino acid; BTP, 1,3-bis[tris(hydroxymethyl)-methyl-amino]-propane; DM, n-dodecyl b-D-maltoside; GRAVY, grand average of hydrophobicity; TMD, transmembrane domain 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim despite recent improvements [4], this technology remains poorly suitable to separate highly hydrophobic, basic or low-abundance proteins [5, 6]. Thus, subcellular membrane proteomes, and specially their integral protein moiety, remain poorly accessible by 2-DE. On the other hand, protein identification is most routinely performed from the peptide mass fingerprints generated by MALDI-TOF-MS. This technique offers the specific advantages to operate at both quite high throughput and relatively low cost. However, some classes of peptides, such as hydrophobic peptides, are not easily observed, and data from complex protein mixtures are poorly usable to query databases. Therefore, the most popular large-scale approaches are not appropriate to investigate hydrophobic proteins. More recently, alternative approaches, relying on chromatographic protein separation or not-involving prior separation of proteins were proposed (review [7]). However, all these approaches involve large-scale shotgun sequence determination, and, therefore, require more sophisticated MS/MS or coupled LC-MS/MS. On the other hand, quantitative differential proteomics is usually not possible unless using specific labeling [8]. As a consequence, proteomic studies on membrane proteins have lagged behind that of soluble proteins [7], and membrane proteins remain underrepresented in the databases. www.proteomics-journal.de 398 W. Szponarski et al. In plants, early attempts to characterize membrane proteomes concerned the plasma membrane and several organelle membranes. These works demonstrated also that integral proteins were poorly accessible when resolved by 2-DE [9–11]. More recently, alternative procedures were proposed, and applied successfully to the chloroplast envelope, the endoplasmic reticulum, and the mitochondrion [12–14]. Their common strategy was to focus on some protein subpopulation, by carbonate stripping or solvent extraction of membrane, and to use a simple SDS-PAGE step to resolve the proteins. However, quite complex protein patterns were obtained, and protein could be identified only by MS/MS. Another consequence is that separate procedures, like the classical 2-DE, are required in order to establish comprehensive membrane proteomes including the peripheral proteins. At the cell level, as mentioned, only a few membrane types benefited from these efforts. Several membranes, including the two terminal membranes that delimit the cytoplasm, the cell membrane (plasma membrane) and the vacuolar membrane (tonoplast), remained largely uncharacterized, particularly with respect to integral proteins. In the present work, we investigated the tonoplast proteome from A. thaliana. For this purpose, we developed an alternative procedure allowing for the separation of both integral and peripheral proteins, and identification by MALDI-TOF-MS consisting of (i) the solubilization of proteins with detergents, (ii) two successive separation steps of the population by gel filtration and anionexchange chromatography; and (iii) final separation of proteins by SDS-PAGE prior to in-gel digestion and protein identification. We report here the characterization of a first set of 70 tonoplast proteins. 2 Materials and methods Proteomics 2004, 4, 397–406 at 95006g. The supernatant was centrifuged for 15 min at 25 0006g and the resulting supernatant was centrifuged once more for 35 min at 80 0006g. The pellet consisting in microsomal membranes was resuspended in a gradient buffer (5 mM BTP-MES, pH 7.5, 5 mM DTT, 1 mM Na2EDTA, 300 mM mannitol, 1 mM leupeptin, 1 mM benzamidine), loaded onto a discontinuous sucrose gradient (45–38–30–25%) and centrifuged for 4 h at 80 0006g. The membrane fraction recovered from the top of the gradient was further diluted 4-times in gradient buffer, centrifuged for 45 min at 160 0006g, resuspended in the gradient buffer complemented with 20% glycerol, and stored in liquid nitrogen. According to classical markers, this fraction was highly enriched in vacuolar membrane (bafilomycin-sensitive ATPase) over plasma membrane (vanadatesensitive ATPase), whereas the presence of mitochondria (azide-sensitive ATPase) was not detected. 2.2 Protein separation Membranes were solubilized by n-dodecyl b-D-maltoside (DM) at 207C and at a detergent/protein ratio of 25. Nonsolubilized proteins were removed by centrifugation (60 min at 190 0006g). Proteins from supernatant were first chromatographied by gel filtration at 207C either on a Superose 6 HR 10/30, or on a HiLoad Superdex 200 16/60 columns (Amersham Biosciences, Orsay, France) in elution buffer composed of 5 mM BTP-Cl (pH 7.5), 1.5 mM DM and 20% glycerol. The second chromatography by anion exchange was performed on a MonoQ HR 1 mL column (Amersham Biosciences) using a linear 0–1 M NaCl gradient. Protein fractions were either concentrated using Microcon YM10 (Millipore, St Quentin, France) or precipitated by 10% TCA, then solubilized by SDS in the presence of b-mercaptoethanol [16]. Gels were stained with Coomassie Brilliant Blue R-250. 2.1 Cell culture and membrane preparation 2.3 In-gel digestion and MS analysis Arabidopsis thaliana suspension cells, ecotype Columbia, were cultured at 247C under continuous light (30 mE?cm22 ?s21) [15]. Cells were subcultured with a 1:9 dilution factor every 7 days, and were used for membrane isolation at a density of about 150 g FW?L21, 7 days after transfer. Cells were filtered, washed extensively in 20 mM KCl, 5 mM Na2EDTA (pH 5.7), and incubated for 10 min in a grinding buffer (20 mM 1,3-bis[tris(hydroxymethyl)methyl-amino]-propane (BTP)-ascorbate pH 7.8, containing 300 mM mannitol, 0.5% PVP, 2 mM Na2EDTA, pH 7.8, 2.5 mM MgCl2, 5 mM DTT, 1 mM PMSF, 1 mM leupeptin, and 1 mM benzamidine). Cells were then disrupted at 47C in a Cell Disrupter (Constant System, Warwick, England) at constant pressure of 700 bar and centrifuged for 20 min Bands were excised from the gel for in-gel trypsin digestion. The protocol was adapted from [17]. The excised fragments were extensively washed in microcentrifuge tubes with 25 mM ammonium bicarbonate, 50% HPLCgrade acetonitrile, and were further dehydrated in pure acetonitrile. Gel fragments were dried under vacuum on a centrifugal evaporator. Digestion was carried out overnight at 377C with 10–15 mL of 0.25 mg?mL21 trypsin (sequencing grade, modified; Promega, Charbonières, France) in 25 mM ammonium bicarbonate (pH 7.8). The resulting tryptic fragments were extracted twice with 100 mL of acetonitrile/water (3:2 v/v) containing 0.1% trifluoroacetic acid in an ultrasonic bath for 15 min. The pooled supernatants were concentrated to a final volume 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.proteomics-journal.de Proteomics 2004, 4, 397–406 of ca. 10 mL in a centrifugal evaporator. For MS analysis, a-cyano-4-hydroxycinnamic acid matrix was prepared at half saturation in acetonitrile/water (1:1 v/v) acidified with 0.1% trifluoroacetic acid. Then, 0.8 mL of each sample was mixed with 0.8 mL of the matrix and the mixture was immediately spotted on the MALDI target and allowed to dry and crystallize. The target was then rinsed with ultrapure water. Mass spectra were recorded on a BiFlex III MALDI-TOF mass spectrometer (Bruker Daltonics, Bremen, Germany). Reflector spectra were obtained over a mass range of 600–3500 Da in the short-pulsed ion extraction mode using an accelerating voltage of 19 kV. Spectra from 100 to 200 laser shots were summed to generate a peptide mass fingerprint for each protein digest. At least two peptide ions generated by the autolysis of trypsin were used as internal standards for calibrating the mass spectra. Manual monoisotopic mass assignment was performed using Bruker’s SNAP procedure. 2.4 Database search Vacuolar membrane proteome 399 were selected in order to avoid any effect on the ionic properties. In preliminary experiments, DM was shown to be the most efficient in solubilizing tonoplast proteins. As a first chromatographic step, gel filtration was used. Preliminary runs using a wide range Superose 6 column indicated that the protein-detergent complexes displayed apparent molecular masses ranging from 100 to 2000 kDa. Accordingly, a high-resolution Superdex 200 column was selected. As shown in Fig. 1A, proteins were eluted within five overlapping peaks. However, their polypeptide composition was markedly different as revealed by the SDS-PAGE patterns obtained for different fractions (Fig. 1B). This indicated that size separation of proteindetergent complexes allowed for the separation of membrane proteins. In order to further resolve the still complex fractions recovered, a second chromatographic step was introduced. Figure 2A illustrates, for some fractions from the previous gel filtration chromatography, the chromatographic profiles obtained using an anion exchange For protein identification, the latest versions of the National Center for Biotechnology Information nonredundant database were manually searched with the monoisotopic peptide mass lists, using the ProFound search engine [18]. Search parameters were as following: first all taxa and then Arabidopsis thaliana as taxonomic category, mass tolerance of 0.1 Da, 1 missed cleavage site allowed, protein mass range of 0–1000 kDa, pI range of 0–14, no chemical modification of amino acids. To take into account the possible presence of protein mixtures, up to four different runs were performed by changing the supposed number of proteins present in excised band. The run giving the best score was then conserved and, for each identified protein, the list of experimental matching masses was used for a final run in the version “single protein”. Only proteins presenting both high probability and Z-score higher than 1.65 were considered as identified with a sufficient confidence. 3 Results 3.1 Separation of tonoplast proteins The present work aimed at solubilizing tonoplast proteins with detergents, for subsequent screening by liquid chromatography, and final separation by SDS-PAGE. In this kind of procedure, the experimental conditions have to be selected in such a way that the charge and size of protein-detergent complexes are governed by their protein moiety. In this view, neutral or zwitterionic detergents (CHAPS, DM, n-octyl glucoside, and zwittergent 3.14) Figure 1. First chromatographic separation of DM-solubilized vacuolar membrane proteins: gel filtration. (A) Elution of proteins, layered onto a Superdex 200 column and monitored at 280 nm. (B) SDS-PAGE: lanes 1–8 correspond to the fractions indicated in the chromatogram above; lane T : total vacuolar membrane proteins. 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.proteomics-journal.de 400 W. Szponarski et al. Proteomics 2004, 4, 397–406 MonoQ column. For all fractions, a part of proteins was not retained at pH 7.4, and retained proteins could be eluted using a saline gradient. The SDS-PAGE polypeptide patterns of both retained and nonretained fractions were quite simple, in terms of number of protein bands, and markedly different (Fig. 2B). This indicated that the separation of protein-detergent complexes according to their electrical charge allowed also to separate further the tonoplast proteins. Combination of the two steps resulted in a rich pattern including more than 200 SDSPAGE bands according to Mr and elution volume in gel filtration or ionic strength for elution in ion exchange chromatography. 3.2 MS characterization of proteins As the procedure appeared to result in quite simple protein patterns, as judged from final SDS-PAGE patterns, a large characterization of the bands was undertaken. For this purpose, a number of bands visible after Coomassie blue staining were excised, in-gel digested using trypsin, and the digests were analyzed by MALDI-TOF-MS. Nearly 70 proteins were identified by accessions in databases (Table 1), including ca. 15% of proteins coresolved in the same bands. On the whole, according to the TargetP [19] algorithm, less than 10% of the proteins displayed a predicted targeting signal suggesting a possible mitochondrial or chloroplastic origine. Figure 2. Second chromatographic separation of DMsolubilized vacuolar membrane proteins: anion exchange. (A) Chromatogram of protein fraction No. 2 of gel filtration (Fig. 1), layered onto a MonoQ HR exchanger and eluted according to a linear NaCl gradient (dashed line). (B) SDSPAGE lanes: lane 1, protein fraction non retained onto the MonoQ exchanger; lanes 2–9, protein fractions eluted by NaCl as indicated in (A). Table 1. Features of the proteins identified in the vacuolar membrane fraction from Arabidopsis thaliana Definition % Cov. N Mr pI GRAVY TMD AA/TMD Accession No. Locus NP_178011 At1g78900 ATPase 70 kDa subunit, putative 67 39 68.8 63 5.1 20.172 2 NP_192853 At4g11150 H1-transporting ATPase chain E, vacuolar 70 20 26.0 23 6 20.487 0 NP_563916 At1g12840 Vacuolar ATP synthase subunit C, putative 64 25 42.6 45a 5.4 20.284 1 V-ATPase subunit D 34 8 29.1 32b 9.5 20.243 0 calc. CAB46439 meas. TargetP Loc. 312 375 55 R other 1 other 4 mito 5 mito 1 BAA32210 At1g15690 Vacuolar proton pyrophosphatase 21 15 80.8 72 5.1 0.615 14 NP_568051 At4g39080 Putative proton pump 40 32 92.8 88 5.6 0.033 7 117 secpath 1 other 3 NP_174329 At1g30400 Glutathione S-conjugate transporting ATPase (AtMRP1) 26 27 181.9 170 5.9 0.029 17 95 other 1 MRP-like ABC transporter 28 30 169.1 155c 5.9 0.178 15 101 other 3 NP_182301 At2g47800 Glutathione-conjugate transporter AtMRP4 15 18 169.1 155c 7.8 0.178 17 89 other 4 NP_191292 At3g57330 Ca21-transporting ATPase-like protein 29 28 111.9 103 6 0.143 10 103 chloro 4 AAC49791 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.proteomics-journal.de Proteomics 2004, 4, 397–406 Vacuolar membrane proteome 401 Table 1. Continued % Cov. N pI GRAVY Locus NP_567258 At4g03560 Putative calcium channel 21 13 84.9 78 4.9 NP_181428 At2g38940 Phosphate transporter (AtPT2) 20 7 58.6 55 8.7 T49233 At3g43190 Sucrose synthase-like protein 13 9 93.0 97 6.1 20.3 NP_182287 At2g47650 Putative dTDP-glucose 4–6-dehydratase 21 7 49.9 53 9.1 NP_200261 At5g54500 1,4-Benzoquinone reductase-like; Trp repressor binding protein-like 50 6 21.8 23 NP_195226 At4g35000 L-Ascorbate 42 11 31.6 NP_567350 At4g10050 Lipase-like protein 22 8 38.5 NP_187214 At3g05630 Putative phospholipase D 17 13 NP_197756 At5g23670 Serine palmitoyltransferase 17 10 54.3 50 NP_176653 At1g64720 Membrane-related protein CP5, putative 17 7 43.7 NP_193872 At4g21410 Serine threonine kinase-like protein 16 9 76.0 NP_187455 At3g07980 Putative MAP3K epsilon protein kinase 13 AAB33487 At4g21380 ARK3 product/receptor-like serine/ threonine protein kinase ARK3 AAD23040 At2g46370 Auxin-responsive GH3-like protein NP_199387 Definition Mr Accession No. At5g45750 E71440 TargetP Loc. R 61 other 2 0.323 12 45 other 4 2 404 mito 5 20.337 2 222 other 1 6 20.108 1 204 other 5 32b 6.5 20.365 1 287 other 3 41 5.7 20.246 3 117 other 3 117.9 128 6.1 20.391 1 1039 other 4 9.4 20.064 3 163 secpath 3 45a 9.6 20.214 2 193 secpath 2 81 8.6 20.202 3 228 secpath 1 12 151.1 162 5.9 20.331 4 342 other 17 13 96.6 100 8.2 20.286 3 284 secpath 2 18 8 5.6 20.141 2 288 other 1 5.6 20.287 1 216 other 3 104 other 5 calc. peroxidase TMD AA/TMD 64.5 meas. 70 d Rab-type small GTP-binding protein-like 41 9 23.9 25 GTP-binding protein RAB2A 43 8 23.2 25d 0.244 12 4 7 20.256 2 NP_200410 At5g55990 Calcineurin B-like protein 2 40 9 25.8 28e 4.9 20.22 0 NP_173136 At1g16920 Guanine nucleotide regulatory protein, putative 35 8 24.0 28e 5.6 20.341 1 216 other NP_197628 At5g22360 Synaptobrevin-like protein 39 6 25.3 23 9.6 0.072 2 111 secpath 5 NP_187555 At3g09440 Heat-shock protein (At-hsc70–3) 20 8 71.1 76 5 20.394 1 649 other NP_187724 At3g11130 Putative clathrin heavy chain 21 23 5.2 20.152 2 853 secpath 4 NP_200987 At5g61790 Calnexin-like protein 26 12 2 265 secpath 2 193.2 180 60.5 65 4.8 20.758 f secpath 5 3 2 AAD02498 At1g75780 b-Tubulin 1 21 7 50.2 53 4.7 20.38 0 other 2 NP_193232 At4g14960 Tubulin a-6 chain (TUA6) 31 11 49.5 53f 4.9 20.2 1 450 other 5 NP_180515 At2g29550 Tubulin b-7 chain 31 9 50.7 53f 4.7 20.413 1 449 other 2 NP_177360 At1g72150 Cytosolic factor, putative 28 13 64.0 67 4.8 20.535 0 other 3 AAF02837 At1g56075 Elongation factor EF-2 21 14 94.2 90 5.9 20.228 2 other 3 NP_564623 At1g53210 Expressed protein 28 14 53.6 47 5.2 0.465 9 55 NP_568671 At5g46860 Expressed protein 44 7 29.5 26 6 20.373 1 268 mito 5 g 6.3 20.328 1 382 other 2 9.8 20.426 2 184 secpath 1 NP_566556 At3g16580 Expressed protein 18 7 44.4 46 NP_565975 At2g42570 Expressed protein 19 7 43.2 46g NP_195548 At4g38350 Putative protein 11 10 NP_193616 At4g18810 Putative protein 28 15 116.0 102 68.4 5.3 secpath 5 0.259 10 105 other 2 9 20.294 2 311 chloro 3 h 9.5 20.331 0 other 2 8.6 20.641 1 other 3 71 NP_191816 At3g62570 Putative protein 20 10 62.0 67 NP_192879 At4g11400 Putative protein 15 8 65.7 67h 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim 423 573 www.proteomics-journal.de 402 W. Szponarski et al. Proteomics 2004, 4, 397–406 Table 1. Continued Definition % Cov. N Accession No. Locus NP_197958 At5g25860 Putative protein 23 NP_193002 At4g12650 Putative protein NP_195600 At4g38890 Putative protein NP_197638 At5g22460 NP_191202 At3g56430 NP_197853 NP_196676 Mr calc. pI 51.9 54 9.1 21 8 59.7 55 27 12 78.6 83 Putative protein 28 7 39.1 Putative protein 16 9 48.5 At5g24650 Putative protein 37 8 At5g11150 Putative protein 43 7 NP_180257 At2g26890 Unknown protein 14 NP_174433 At1g31480 Unknown protein Unknown protein AAK59445 TMD AA/TMD meas. 11 AAL32694 GRAVY TargetP Loc. R other 3 other 4 other 1 20.198 0 5.9 0.532 9 6.2 20.507 0 43 7.2 20.271 4 85 52 9.7 20.226 2 217 other 5 27.8 31 9.6 20.125 4 65 other 1 25.3 23 9.4 20.164 2 25 277.1 240 5.7 20.072 8 634 other 3 16 11 99.4 106 5.7 20.705 2 435 other 1 39 15 54.3 5 20.25 0 other 2 57 59 secpath 4 secpath 4 Unknown protein 36 8 36.5 34 8.8 0.03 2 169 secpath 5 NP_180318 At2g27490 Unknown protein 18 7 25.7 23 9.5 0.016 1 232 other 4 NP_196906 At5g14020 Unknown protein 19 8 47.9 50 6.7 0.041 2 216 other 4 AAK82537 At1g07930 At1g07930/T6D22_3 33 10 49.4 53 9.4 20.325 0 other 2 AAK59761 AT3g42050 50.3 48 6.6 20.063 0 other 2 108.4 115 9.7 20.306 1 977 other 2 4 AT3g42050/F4M19_10 51 20 AAF79278 F14D16.2 19 16 AAD55276 F25A4.3 18 11 78.0 84 5.5 20.386 4 175 chloro AAF87033 T24P13.18 23 9 58.6 63 9.7 20.288 2 253 secpath 1 NP_182060 At2g45350 Hypothetical protein 18 10 68.4 71i 6.7 0.038 3 202 other 3 NP_189566 At3g29210 Hypothetical protein 17 9 67.9 71i 5.4 20.782 1 594 other 1 NP_176767 At1g65920 Hypothetical protein 17 16 111.1 120 9.4 20.433 3 335 other 2 NP_180894 At2g33360 Hypothetical protein 17 8 66.5 68 9.2 20.474 0 other 2 NP_179704 At2g21080 Hypothetical protein 20 7 46.6 43 9.3 0.415 6 69 other 2 NP_173079 At1g16290 Hypothetical protein 17 8 52.3 55 5.6 20.466 4 114 other 2 Hypothetical protein T20N10.250 21 10 59.7 65 9 20.122 1 517 secpath 5 T49173 Vacuolar membrane proteins were analyzed by MALDI-TOF-MS. Columns correspond to: accession, accession No. in NCBI; locus, locus according to AGI annotation; definition, protein definition for the NCBI accession; % Cov., percentage of coverage of the database sequence by the experimental peptide mass fingerprint; N, number of peptides matching specifically the accession; Mr calc., molecular weight calculated from the sequence; Mr meas., molecular weight measured on SDS-PAGE; pI, isoelectric point calculated from the sequence; GRAVY, grand average of hydrophobicity; TMD, number of transmembrane domains expected from the sequence according to the TMPred software [21]; AA/TMD, ratio of the number of AA to the number of TMDs; TargetP, subcellular location (Loc.) predicted by the TargetP algorithm [19]: chloro, occurrence of a chloroplast transit peptide; mito, occurrence of a mitochondrial targeting peptide; secpath, occurrence of a secretion signal peptide; other, no transit or secretion peptide found in the 130 N-ter AA of the protein sequence; R, reliability class of the TargetP prediction (the class 1 being the most reliable one). Letters in superscript in the Mr meas. column refer to proteins identified in a single band excised from a same gel. Identified proteins included proteins previously characterized at the tonoplast, together with a large number of putative or hypothetical proteins deduced from systematic annotation of Arabidopsis genome. Well-known tonoplast proteins included the two proton pumps (the PPase and the V-ATPase) and one ABC transporter, AtMRP1. Other transporters, previously not identified at the vacuo- lar membrane, were two other ATPases of the ABC transporter family, two putative Ca21-ATPases and channels, and one high-affinity phosphate carrier. The other identified proteins covered a range of functions including lipid synthesis or degradation, protein degradation, kinases and phosphatases, proteins involved in membrane trafficking, and cytoskeleton proteins. 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.proteomics-journal.de Proteomics 2004, 4, 397–406 Vacuolar membrane proteome 403 3.3 Features of proteins characterized in the tonoplast-enriched fraction Most proteins ranged between 20 and 120 kDa, with ca. 10% of proteins of higher molecular mass (Fig. 3A). In terms of pI, proteins distributed into two main populations with maximum frequencies observed at pI 5.3 and 8.9 (Fig. 3B). On the other hand, as in this work tonoplastenriched fractions were directly submitted to proteomic analysis, the resulting population was expected to include both peripheral and integral proteins. As a first insight, the calculation of grand average of hydrophobicity (GRAVY) scores [20] showed that 25% of proteins displayed positive scores, with values up to 0.615 (Table 1). Further, the occurrence of transmembrane domains (TMDs) was predicted using the TMPred algorithm [21]. Approximately 25% of the identified proteins were expected to possess at least 4 TMDs, including proteins with up to 17 TMDs, and this proportion dropped to 60% for proteins with at least 2 TMDs (Fig. 4A). Interestingly, for these 60% proteins, the observed distribution according to the number of TMDs (Fig. 4A) was close to that computed using another algorithm, HMMTOP [22] in the Arabidopsis Membrane Protein Library [23]. In order to get more insights into the relative contribution of putative TMDs to Figure 4. Transmembrane domains predicted from the sequence of vacuolar membrane proteins. Seventy proteins were identified in the vacuolar membrane fraction (Table 1). (A) Distribution of TMDs according to the TMPred algorithm; the continuous line gives the distribution of proteins which, detected in the whole translated genome of A. thaliana, exhibit at least 2 TMDs [23]; (B) distribution of the ratio AA/TMD; open symbols refer to the known transport proteins. the sequence, the ratio of the total number of amino acids (AAs) over the number of predicted TMDs was related to the number of TMDs (Fig. 4B). For proteins showing at least 6 TMDs, an average AA/TMD ratio of 79 6 25 was observed, whereas large variations in this ratio were calculated for less hydrophobic proteins. In addition, all those proteins that were identified at the function level corresponded to transporters. 4 Discussion 4.1 Membrane protein separation Figure 3. Biochemical characteristics deduced from the sequence of vacuolar membrane proteins. Seventy proteins were identified in the vacuolar membrane fraction (Table 1). (A) molecular weight; (B) pI. It is now well recognized that 2-DE is very efficient to separate soluble proteins but poorly suitable for wide analysis of subcellular membrane proteomes [7]. Whereas the second migration step (SDS-PAGE) is known to work efficiently with integral proteins, the aggregation of hydrophobic proteins that occurs upon reaching 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.proteomics-journal.de 404 W. Szponarski et al. their pI during the first migration step constitutes a major bottleneck. On the other hand, ion-exchange chromatography can be formally considered as an alternative way to isoelectric focusing, since it separates proteins according to local and outer arrays of ionized residues. Therefore, in order to overcome the limitation of 2-DE for hydrophobic proteins, in this work, we hypothesized that chromatographic procedures could be helpful, provided that proteins were maintained in solution. For this purpose, we deviced a procedure aiming at solubilizing the proteins using neutral detergents. By this way, we expected that the surface charge of protein-detergent complexes would be mainly contributed by proteins, thus allowing for their separation. Indeed, although overlapping elution profiles were obtained, both ion-exchange chromatography and gel filtration were shown to allow the separation of fractions differing by their protein pattern. Furthermore, in gel filtration experiments, no clear correlation was found between protein Mr and elution order, and proteins of different Mr in SDS-PAGE were resolved in chromatographic fractions displaying apparent Mr up to 2000 kDa. This suggests that the procedure did not result in the solubilization of single proteins, but rather in the production of micelles sufficiently small so that their size and charge was determined by the protein moiety. By combining the two chromatographic steps, and by taking advantage of the capacity of ion exchange to reconcentrate proteins after the dilution caused by gel filtration, fractions displaying relatively simple patterns were finally obtained. In this work, only one-third of the most abundant proteins resolved by the described procedure were characterized by MS. However, several arguments demonstrate that the procedure is actually able to give a large picture of the proteins constituting a membrane. First, the 70 identified proteins covered a large range of both molecular mass (including proteins of nearly 300 kDa) and pI (including basic proteins with pI of nearly 10). Furthermore, the calculated pI distribution was bimodal, in agreement with calculations made at the genome scale [24]. These results indicate that the use of micelles did not introduce bias according to protein size and charge. On the another hand, both the coarse calculation of GRAVY scores and the prediction of TMDs suggest that at least one quarter of the identified proteins would be very hydrophobic and display four predicted TMDs or more. Furthermore, the identification of both true tonoplast integral proteins with numerous TMDs, such as ABC transporters, and peripheral proteins, such as subunits of the catalytic part of the vacuolar proton pump, confirms that the screening of proteins in micelles has the capacity to give a large access to the different protein types constituting the membrane proteome. Taken together, these features show that the present procedure overcomes simultaneously some of the 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Proteomics 2004, 4, 397–406 main bottlenecks of classical 2-DE, with respect to high Mr and/or basic and/or hydrophobic proteins. In this respect, this procedure compares with published approaches aiming at analyzing hydrophobic proteomes. In Deinococcus radiodurans, combination of initial stripping of peripheral proteins with solvent extraction was recently shown to result in the characterization of a membrane subproteome encompassing 27% hydrophobic proteins, as judged by their GRAVY score [26]. On the other hand, using highly purified preparations of chloroplasts, direct solvent extraction was proven to allow the identification of 39% proteins with at least four TMDs, most of them being basic proteins [12]. Therefore, both solventand micelles-based approaches appear to give access to hydrophobic and basic proteomes with similar efficiency. However, as solubilization of proteins in micelles enables chromatographic fractionation prior to final SDS-PAGE, protein identification becomes efficient by simple MALDI-TOF-MS, and does not require LC-MS/ MS sequencing. In addition, for the same reason, quantitative proteomics can be expected from the comparison of relatively simple SDS-PAGE patterns. Therefore, owing to the increasing amount of knowledge on numerous genomes, the present procedure is likely to offer advantages in terms of throughput and cost for a wide number of both analytical and comparative applications. Finally, it should be emphasized that, as this procedure is able to work with relatively high initial protein loading and concentrates proteins in a quite large number of fractions according to their physicochemical properties, it gives access also to minor membrane proteins in final SDS-PAGE lanes, such as, here, signaling or trafficking proteins. 4.2 Vacuolar membrane proteome The vacuole is the largest compartment in mature plant cells, accounting for more than 80% of the total cell volume. Several small vacuoles may also co-exist with the central vacuole, distinct either by their soluble or by their membrane protein content [27], and the plant cell vacuome is now considered as a multipurpose compartment. In this view, a large diversity of proteins can be expected, in agreement, here, with both the protein patterns observed showing more than 200 different SDSPAGE bands and the nature of identified proteins. 4.2.1 General features Several of the identified proteins show positive GRAVY scores and numerous predicted TMDs, and can be therefore classified as integral proteins. At the same time, these proteins do not display targeting signals suggesting any organelle location, but exhibit a large bimodal pI diswww.proteomics-journal.de Proteomics 2004, 4, 397–406 tribution. Recently, similar analysis resulted in the proposition that the simultaneous display of at least four TMDs, a chloroplast targeting sequence, an AA over TMD ratio lower than 100 and a pI higher then 8.8 could constitute general features of the inner membrane proteins from the chloroplast envelope in Arabidopsis [12]. On this basis, Arabidopsis tonoplast integral proteins appear to resemble envelope proteins by their AA/TMD ratio, but differ by a broader pI distribution. Owing to the present low molecular knowledge of plant membrane proteins, it can be speculated that generalized knowledge of such properties could provide specific signatures of well-defined subcellular membranes allowing bioinformatical search for predicting the location of novel membrane proteins in Arabidopsis. Vacuolar membrane proteome 405 4.2.3 Calcium homeostasis Two putative Ca21-ATPases and channels were found here in the vacuolar membrane fraction, as well as a putative calcineurin (calmodulin-activated Ser-Thr protein phosphatase, essential for the transduction of Ca21 signals, described as cytosolic). The spatial and temporal regulation of the cytoplasmic Ca21 concentration, primarily involved in signal transduction, is controlled by coordinated activities of Ca21-ATPase and channels which have been recorded in various membranes like the plasma membrane, the tonoplast, the endoplasmic reticulum, chloroplasts, and the nuclear membranes of plant cells [31, 32]. The observation of these various proteins at the tonoplast reinforces the role of this membrane in the regulation of calcium homeostasis. 4.2.2 Transport proteins Plant vacuoles are known to carry out storage or mobilization of a variety of solutes (from mineral ions to sugars, organic or amino acids), detoxification of xenobiotics, and regulation of turgor pressure by coupling water to solute transports. Transport proteins found here encompass the two vacuolar proton pumps (the PPase and the hetero-oligomeric V-ATPase) which energize most (secondary) vacuolar transport of solutes via the electrochemical gradient generated. In addition, three highly hydrophobic ABC transport ATPases of high Mr were also found. ABC is the largest known transport family, ranging from bacteria to humans. At the vacuolar membrane level, ABC transporters function to sequester xenobiotics as well as endogenous compounds, which often require glutathione conjugation in the cytoplasm prior to their transport. To our knowledge, only one of the three ABC carriers found here, the glutathione S-conjugate ATPase AtMRP1, has been functionally described at the vacuolar level previously [28]. Therefore, this work could offer the first experimental evidence for the presence of AtMRP4 and the protein encoded by the gene AAC49791 at the tonoplast. 4.2.4 Vesicular trafficking and signaling The concentration of cytosolic phosphate is regulated by resupply from the vacuole [29]. The high affinity phosphate carrier found here in the vacuolar fraction (AtPT2) was previously reported to be expressed in roots upon P starvation [30]. Therefore, AtPT2 appears to be also expressed in suspension cells which, when cultivated for 7 days in a standard medium, are P-starved. However, AtPT2 is likely not located at the vacuolar membrane since it complements a yeast strain (pho84) defective in the high-affinity phosphate transport function. Accordingly, this could reveal either a plasma membrane contamination of the vacuolar fraction used in this work or an alternative minor location of AtPT2. Several proteins observed here are known to participate to membrane trafficking in the cell (known or putative Rab proteins, clathrin, Hsc70, synaptobrevin). Firstly, Rab proteins are involved in vesicle targeting [33]. In addition, in yeast, clathrin-coated vesicles mediate the transport of the soluble vacuolar proteins from the trans-Golgi network (TGN) to the endosomal/prevacuolar compartment [34]. Hsc70 is an uncoating ATPase, stripping clathrin-coated vesicles [35]. Synaptobrevin is a v-SNARE involved in the process of vesicles docking and fusion, especially important for the inheritance of vacuoles during the cell cycle [36]. It is well-established that endoplasmic reticulum (ER)-derived transport-vesicles travel to and are incorporated into vacuoles [37], and the role of vesicle-mediated solute transport between the vacuole and the plasma membrane has been recently addressed [38]. The simultaneous finding of the proteins above at the tonoplast might reflect, therefore, the tight connections to vacuolar compartment that exist within vesicular transport from plasma membrane to endosomal system. In the same way, it should be pointed out that microtubules are required for membrane trafficking, and are also tightly involved in the dynamic organization of the vacuole during cell cycle [39]. Interestingly, three tubulin gene products, both from a- and b-types, were observed here. Finally, three putative protein kinases, and the protein phosphatase calcineurin were found at the tonoplast. It could be speculated whether their occurrence highlights potential involvement in the perception and transduction of signals, like Ca21 signal, or simply reveals the highly regulated functioning of the various activities located at this membrane. 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.proteomics-journal.de 406 W. Szponarski et al. 4.2.5 Metabolic activities Beside transporters, several putative or known enzymes involved in miscellaneous pathways, such as lipid synthesis or degradation (lipase, phospholipase D, palmitoyl transferase), protein degradation (cystein proteinase), sugar supply and metabolism (sucrose synthase, glucose dehydratase) and peroxidation, have been found. For most of them, their presence at the tonoplast is not unexpected. For instance, a phospholipase D activity has been shown in the tonoplast of suspension cells of Acer pseudoplatanus [40], as well as cysteine proteinases in vacuoles of plant tissues [41]. Similarly, the ascorbate-dependent destruction of hydrogen peroxide, was suggested to occur also in the vacuole [42], and we detected an ascorbate-peroxidase. Very recently, a tonoplastassociated sucrose synthase activity, that would be involved in sucrose remobilization from the vacuole, was demonstrated [43]. Accordingly, the present work suggests that the product of the At3g43190 gene, annotated as sucrose-synthase-like protein, might constitute the support for this activity previously unknown at this location. In conclusion, the 2-D liquid chromatrograhy of proteins in micelles described here appears to constitute an alternative way to investigate membrane proteomes. Owing to its capacity to analyze simultaneously integral and peripheral proteins by simple MALDI-TOF-MS, this approach can be speculated to be convenient both for the characterization of various membrane proteomes from sequenced organisms and for the investigation of membrane-located responses by comparative proteomics. This work was supported by the program “Novel tools” from Genoplante (No. 19993663) and by the Proteome Platform of the Montpellier-LR Génopole. The authors are grateful to Cécile Fizames for helpful discussions. Received May 13, 2003 Revised July 9, 2003 Accepted July 31, 2003 5 References [1] [2] [3] [4] Wallin, E., von Heijne, G., Prot. Sci. 1998, 7, 1029–1038. Stevens, T. J., Arkin, I. T., Proteins 2000, 39, 417–420. Reiss, T., Trends Biotechnol. 2001, 19, 496–499. Görg, A., Obermaier, C., Boguth, G., Harder, A. et al., Electrophoresis 2000, 21, 1037–1053. [5] Santoni, V., Malloy, M., Rabilloud, T., Electrophoresis 2000, 21, 1054–1070. [6] Gygi, S., Corthals, G. L., Zhang, Y., Rochon, Y., Aebersold, R., Proc. Natl. Acad. Sci. USA 2000, 97, 9390–9395. 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Proteomics 2004, 4, 397–406 [7] Wu, C. C., Yates, J. R., Nat. Biotechnol. 2003 21, 262–267. [8] Han, D. K., Eng, J., Zhou, H., Aebersold, R., Nature Biotechnol. 2001, 19, 946–951. [9] Santoni, V., Rouquié, D., Doumas, P., Mansion, M. et al., Plant J. 1998, 16, 633–641. [10] Prime, T. A., Sherrier, D. J., Mahon, P., Packman, L. C., Dupree, P., Electrophoresis 2000, 21, 3488–3499. [11] Kruft, V., Eubel, H., Jänsch, L., Werhahn, W., Braun, H.-P., Plant Physiol. 2001, 127, 1694–1710. [12] Ferro, M., Salvi, D., Rivière-Rolland, H., Vermat, T. et al., Proc. Natl. Acad. Sci. USA 2002, 99, 11487–11492. [13] Maltman, D. J., Simon, W. J., Wheeler, C. H., Dunn, M. J. et al., Electrophoresis 2002, 23, 626–639. [14] Millar, A. H., Heazlewood, J. L., Plant Physiol. 2003, 131, 443–453. [15] Axelos, M., Curie, C., Mazzolini, L., Bardet, C., Lescure, B., Plant Physiol. Biochem. 1992, 30, 123–128. [16] Laemmli, U. K., Nature 1970, 222, 680–685. [17] Jensen, O. N., Wilm, M., Shevchenko, A., Mann, M., Methods Mol. Biol. 1999, 112, 513–530. [18] http://prowl.rockefeller.edu/cgi-bin/ProFound [19] http://www.cbs.dtu.dk/services/TargetP/ [20] http://www.expasy.org/tools/protparam.html [21] http://www.ch.embnet.org/software/TMPRED_form.html [22] http://www.enzim.hu/hmmtop/ [23] Ward, J. M., Bioinformatics 2001, 17, 560–563. [24] Luche, S., Santoni, V., Rabilloud, T., Proteomics 2003, 3, 249–253. [25] Van Bogelen, R. A., Schiller, E. E., Thomas, J. D., Neidhardt, F. C., Electrophoresis 1999, 20, 49–59. [26] Blonder, J., Goshe, M. B., Moore, R. J., Pasa-Tolic, L. et al., J. Proteome Res. 2002, 1, 351–360. [27] Martinoia, E., Massonneau, A., Frangne, N., Plant Cell Physiol. 2000, 41, 1175–1186. [28] Lu, Y. P., Li, Z. S., Rea, P. A., Proc. Natl. Acad. Sci. USA 1997, 94, 8243–8248. [29] Sakano, K., Yazaki, Y., Okihara, K., Mimura, T., Kiyota, S., Plant Physiol. 1995, 108, 295–302. [30] Muchhal, U. S., Pardo, J. M., Raghothama, K. G., Proc. Natl. Acad. Sci. USA 1996, 93, 10519–10523. [31] Sze, H., Liang, F., Hwang, I., Curran, A. C., Harper, J. F., Ann. Rev. Plant Physiol. Plant Mol. Biol. 2000, 51, 433–462. [32] White, P. J., Biochim. Biophys. Acta 2000, 1465, 171–189. [33] Hama, H., Tall, G. G., Horazdovsky, B. F., J. Biol. Chem. 1999, 274, 15284–15291. [34] Deloche, O., Schekman, R. W., Mol. Biol. Cell 2002, 13, 4296–4307. [35] Cremona, O., Dev. Cell 2001, 1, 592–604. [36] Nichols, B. J., Ungermann, C., Pelham, H. R., Wickner, W. T., Haas, A., Nature 1997, 387, 199–202. [37] Chrispeels, M. J., Herman, E. M., Plant Physiol. 2000, 123, 1227–1234. [38] Ed Echeverría, E., Plant Physiol. 2000, 123, 1217–1226. [39] Kutsuna, N., Hasezawa, S., Plant Cell Physiol. 2002, 43, 965–973. [40] Tavernier, E., Pugin, A., Biochim. Biophys. Acta 1995, 1233, 118–122. [41] Muntz, K., Shutov, A. D., Trends Plant Sci. 2002, 7, 340–344. [42] Mehlhorn, H., Lelandais, M., Korth, H. G., Foyer, C. H., FEBS Lett. 1996, 378, 203–206. [43] Etxeberria, E., Gonzalez, P., J. Exp. Bot. 2003, 54, 1407– 1414. www.proteomics-journal.de
© Copyright 2026 Paperzz