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Copyright © 2008 The Authors Journal compilation © 2008 Blackwell Publishing Ltd If the antibody fails – a mass Western approach 1Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14424 Potsdam, Germany 2University of Potsdam, Institute of Biochemistry and Biology, Germany 3University of Vienna, Department of Melecular Systems Biology, Austria *For correspondence (fax +49 3315678134; email weckwerth/at/mpimp-golm.mpg.de) Received February 26, 2008; Revised April 8, 2008; Accepted April 17, 2008. Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. Abstract Sucrose-phosphate synthase (SPS) has attracted the interest of plant scientists for decades. It is the key enzyme in sucrose metabolism and is under investigation in various plant species, e.g. spinach, tobacco, poplar, resurrection plants, maize, rice, kiwi and Arabidopsis thaliana. In A. thaliana, there are four distinct SPS isoforms. Their expression is thought to depend on environmental conditions and plant tissue. However, these data were derived from mRNA expression levels only. No data on SPS protein identification from crude extracts have been available until now. An antibody approach failed to distinguish the four isoforms. Therefore, we developed a method for SPS quantification and isoform-specific identification in A. thaliana complex protein samples. Samples were separated on SDS-PAGE, digested and directly applied to liquid chromatography/triple-stage quadrupole mass spectrometry (LC/TSQ-MS). In this approach, known as mass Western, samples were analysed in multi-reaction monitoring (MRM) mode, so that all four SPS isoforms could be measured in one experiment. In addition to the relative quantification, stable isotope-labelled internal peptide standards allowed absolute quantification of SPS proteins. Protein extracts from various plant tissues, samples harvested during the day or the night, and cold-stressed plants were analysed. The stress-specific SPS5a isoform showed increased concentrations in cold-stressed leaf material. Keywords: proteomics, mass spectrometry, systems biology, plant systems biology, isozymes, stable isotope dilution Introduction Sucrose synthesis takes place in the cytosol of cells of photosynthetic (Lunn and Furbank, 1997) and non-photosynthetic tissues (e.g. germinating seeds; Weber et al., 1997). It is regulated by fructose-1,6-bisphosphatase (FBPase) (EC 3.1.3.1) (Zimmermann et al., 1978) and sucrose-phosphate synthase (SPS) (EC 2.4.1.14) (Harbron et al., 1981; Pollock, 1976). SPS is a glycosyl transferase. It transfers a glycosyl residue from UDP-glucose (UDP-G) to fructose-6-phosphate (F6P), forming sucrose-6-phosphate (S6P) and UDP. S6P is then further converted to sucrose by sucrose-6-phosphate phosphatase (SPP) (Harbron et al., 1981). In most plants, sucrose is the main transport metabolite of fixed carbons. It is the main storage reserve in developing sink tissues such as tomato fruits and sugar beet roots. Sucrose is also known to be a signalling molecule in higher plants (Jang et al., 1997; Lalonde et al., 1999; Smeekens, 1998). It modulates the expression of genes that encode enzymes involved in central carbon and nitrogen metabolism (Ciereszko et al., 2001; Stitt et al., 2002), storage proteins (Zourelidou et al., 2002) and enzymes involved in the cell cycle and differentiation (Blazquez et al., 1998; Gaudin et al., 2000; Ohto et al., 2001). Sucrose is also involved in the control of developmental processes such as flowering (King and Ben-Tal, 2001; Ohto et al., 2001), seed development (Iraqi and Tremblay, 2001) and accumulation of storage metabolites (Lozeman et al., 2001; Rook et al., 2001). At low temperature (Malone et al., 2006) and during drought (Yang et al., 2001), sucrose is accumulated as a protective agent and as an energy reserve to reactivate metabolism after conditions have improved. SPS is a low-abundance protein. In Arabidopsis thaliana, there are four SPS isoforms (SPS1, At1g04920; SPS4, At4g10120; SPS5a, At5g11110; SPS5b, At5g20280). They can hardly be identified from crude extracts of greenhouse-grown A. thaliana plants using a typical LC/MS shotgun approach as their ion signals are suppressed by more abundant proteins. Immunodetection is an alternative method and SPS antibodies are available. However, even if signals are detected, distinction between the various SPS isoforms is not possible. The same is true for SPS activity assays. There are very sensitive methods that can measure SPS activity in crude Arabidopsis extracts (Gibon et al., 2002), but no conclusions regarding protein amounts or SPS isoforms can be drawn. A selective and more specific tool is therefore needed that allows isoform-specific identification of low-abundance proteins. The mass Western is such a tool. The principle of the mass Western approach presented here is schematically shown in Figure 1
Results Validation of the method using recombinant SPS The principle of the strategy is shown in Figure 1
To verify the reliability of quantitative and qualitative A. thaliana SPS measurements, three distinct recombinant Arabidopsis SPS isoforms SPS1 (At1g04920), SPS5a (At5g11110) and SPS5b (At5g20280) were mixed and prepared for LC/MS measurements. Samples were either digested in solution or applied to SDS-PAGE with subsequent in-gel digestion. Four replicates per condition were prepared. Extracted peptides were measured by LC/TSQ-MS. All three isoforms could be distinguished, and the calculated levels reflected the loaded ranges (data not shown). SPS quantification and activity measurements in A. thaliana protein extracts The method was then tested for Arabidopsis thaliana crude protein extracts. Proteins extracted from A. thaliana cold-stressed leaves and flowers were enriched by fractionated ammonium sulfate precipitation (30, 40 and 50% ammonium sulfate). Precipitates were taken up in HEPES buffer and desalted. Extracts were used for SPS activity measurements and for SDS-PAGE. For LC/TSQ-MS analysis, gel pieces at 120 kDa were cut out and digested. Values were calculated from four independent samples per condition and two or three standard peptides per isoform. For both cold-stressed leaf and flower samples, the biological replicates showed high standard deviations (see Figure 3a,b
To confirm the distribution of SPS isoforms in various ammonium sulfate precipitates, we measured enzymatic SPS activity as maximum activity (Vmax) in the same fractions, i.e. 30, 40 and 50% ammonium sulfate precipitates of flower and cold-stressed leaf proteins. Simple measurement of enzymatic SPS activity cannot distinguish between the various isoforms because Vmax reflects the sum of all active SPS enzymes. However, by combining the mass Western with enzymatic activity measurements, we are able to assign the contribution of each SPS isoform to the total activity Vmax (see Figure 3a,b
Rapid protein extraction by SDS sample buffer combined with SPS quantification For normal quantification approaches, mild protein extraction is not necessary. Therefore, 10 mg plant material were extracted in 20 μl SDS sample-buffer by boiling the sample for 5 min to determine SPS in different aerial plant parts. Extracts were directly loaded on an SDS gel. Gel pieces at 120 kDa were cut out and prepared for nanoflow LC/TSQ-MS analysis. Leaves harvested during the day or during the night, cold-stressed leaves, flowers and stems were analysed for SPS content. Values were calculated from four independent samples per condition, and two or three peptides per isoform were used as internal standards. The results are shown in Figure 5
Measured values ranged from 0 to 60 fmol, so were below the optimal quantification range. However, each SPS isoform was identified in the various samples, except for SPS1, which was not found in the stem. As for ammonium sulfate precipitations, SPS5a was found to be the dominant isoform in cold-stressed leaves with increased values compared to unstressed samples. There is a trend towards SPS1 being the most abundant isoform in flowers, in agreement with the results using ammonium sulfate precipitation (see Figure 3b Discussion In this paper, we describe a mass spectrometric approach that allows us to distinguish between four SPS isoforms that share 46% (SPS4/SPS1) to 66% (SPS5a/SPSb) sequence homology. Through the use of stable isotope-labelled internal peptide standards, quantification of the distinct isoforms is possible. The work flow for the mass Western approach is shown in Figure 1 In contrast to the Western blot, the mass Western allows parallel measurement of various proteins of interest in one MS experiment (MRM), whereas for a single blot just one antibody can be used. Another advantage of the mass Western lies in its specificity. It is difficult to raise specific antibodies against very homologous proteins. In such cases, antibodies show strong cross-reactivity. No antibodies are available that allow discrimination of the four Arabidopsis SPS isoforms. The mass Western is the only method that can distinguish between SPS1, SPS4, SPS5a and SPS5b. Our experiments showed that, even at extremely low concentrations (about 10 fmol SPS, approximately 1.2 ng), identification of a distinct isoform is possible. In addition to identification, absolute protein quantification is possible with the mass Western approach. From our measurements, we estimated the overall content of SPS in leaves of 4- to 5-week-old Arabidopsis plants (in the middle of the light period) to be about 1.65 μg. This is 0.02% of extracted plant proteins (calculated for an average of 2 g leaf material per plant). Due to the low SPS concentrations within the samples, standard deviations were very high for most of the sample. However, the data indicate some biological trends concerning the concentration of the distinct SPS isoforms. To date, not much is known about the distribution of the four SPS isoforms within A. thaliana. It is thought that the distinct SPS isoforms are responsive to different regulatory pathways, and that each isoform is regulated independently (Lunn and MacRae, 2003). The four A. thaliana SPS genes and all other known plant SPS sequences can be divided into three families – A, B and C (Lunn and MacRae, 2003). SPS5a and 5b belong to the A family, SPS1 to the B family and SPS4 to the C family. In rice, the B-family gene is expressed in leaves, pollen and germinating seedlings (Chavez-Barcenas et al., 2000). Comparative studies of mRNA expression data led to the conclusion that B-family members are not expressed in roots (Langenkamper et al., 2002). In our studies, SPS1 protein was found to be expressed in leaves and flowers and appeared to be the dominant isoform in flowers. SPS1 was the only isoform that was not detected in stems. The expression of SPS4 has been reported to be under circadian regulation (Harmer et al., 2000). We detected lower SPS4 protein levels during the night compared to those during the day. This is in contrast to observations on mRNA levels. SPS4 mRNA levels increase during the night (Chen et al., 2005; Harmer et al., 2000). An explanation might be that the protein level follows a time shift in the circadian rhythm, as observed for other proteins (Gibon et al., 2004, 2006). Our studies also suggest that SPS4 and SPS5a are the dominant isoforms in leaves and stems with respect to protein levels. SPS5b levels are comparably low. However, the possibility cannot be excluded that this isoform degrades easily and was not detected in the 120 kDa area of the SDS gel for that reason. It is also possible that the extraction methods used did not pick up SPS5b. However, low amounts of SPS5b protein were detected in flowers, stems and leaves. For cold-stressed spinach leaves, it is reported that sucrose levels increase after the first day of exposure to 5°C. This sugar accumulation is attributed to four to five times higher levels of SPS enzyme compared to non-stressed plants (Guy et al., 1992). In A. thaliana cold-stressed leaves, we found a sevenfold increase in SPS5a levels compared to the unstressed control. These data provide evidence that SPS5a is the stress isoform responsible for cold acclimatization. To summarize, the method described here provides a tool to distinguish and quantify SPS isoforms. The data obtained complement mRNA expression data and may be completed with information on SPS activity and metabolites. This will allow us to design a complete model of SPS action and to obtain further insight into the complex network of sucrose metabolism. In future we will extend this strategy to whole pathways to study dynamics of metabolic enzymes and to integrate accurate protein concentrations into metabolic network modelling approaches. Experimental procedures Plant material Arabidopsis plants (Arabidopsis thaliana wild-type Columbia, Col-0) were grown in the greenhouse under controlled conditions (20°C, 55% relative humidity, irradiance 150 μmol m−2 s−1). Two-week-old seedlings were transferred to GS90 soil (Fritz Kausek GmbH, Germany) and grown under long-day conditions (16 h light, 8 h dark) for 4–5 weeks. For cold stress, 4- to 5-week-old plants (developmental stage 4–5, Boyes et al., 2001) were transferred to a Percival (CLF plant climatics, http://www.plantclimatics.de/services.htm) at 4°C (irradiance 130 μE) in the middle of the day (after 8 h light). Leaves were harvested 3 days later in the cold. For flower samples, plants remained in the greenhouse. Flowers were harvested up to flower stage 15 (Smyth et al., 1990). Complete open and closed buds and up to 5 mm long parts of the stem were collected. Recombinant SPS Recombinant A. thaliana SPS isoforms (SPS1, SPS4, SPS5a) were expressed in Escherichia coli BL21 Codon Plus (DE3) RIL (ARG, ILE, LEU) (Stratagene, http://www.stratagene.com/). Proteins were expressed with a six-histidine tag, and purified from E. coli cell lysates by metal-affinity purification using BD Talon metal affinity resin (BD Biosciences, http://www.bdbiosciences.com/index.shtml) in a batch purification procedure. The purification was performed according to the manufacturer's instructions. Protein extraction and ammonium sulfate precipitation Plant material was ground in a mortar and 2.5 g were extracted with 5 ml extraction buffer [50 mm Tris/HCl, pH 8, 20% v/v glycerol, 10 mm DTT, 1 mm EDTA, 20 mm NaF, 0.3 μm microcystin, 1 mm benzamidin, 0.5% v/v proteinase inhibitor cocktail (Roche, http://www.roche.com/home.html), 4 mm leupeptin]. The suspension was kept on ice for 30 min and shaken every 5 min. Crude extracts were centrifuged at 4000 g for 15 min at 4°C. The supernatant was transferred into a 50 ml tube and subjected to ammonium sulfate precipitation. An appropriate volume of chilled saturated ammonium sulfate solution was added to the extract and the mixture was kept on ice for 1 h. After incubation, it was centrifuged for 45 min at 4000 g and 4°C. For the second precipitation step, ammonium sulfate solution was added to the supernatant. The procedure was repeated for each precipitation step. Pellets were taken up in 250 μl HEPES buffer (50 mm, pH 8). Rapid protein extraction using SDS sample buffer Plant material was ground in a mortar and 10 mg were extracted in 20 μl SDS sample buffer (225 mm Tris, pH 6.9, 50% glycerol, 5% SDS, 0.05% bromophenol blue, 250 mm DTT). Samples were incubated for 5 min at 95°C and centrifuged for 15 min at 2000 g at RT. The supernatant was loaded on an SDS gel. SDS-PAGE and Coomassie stain SDS sample buffer (225 mm Tris, pH 6.9, 50% glycerol, 5% SDS, 0.05% bromophenol blue, 250 mm DTT) was added to protein extracts. Samples were heated to 95°C for 5 min and centrifuged for 5 min at 2000 g at RT. 20 μl were loaded on a 10% acrylamide mini-gel. Electrophoresis was performed as described previously (Laemmli, 1970). Proteins were stained with Coomassie brilliant blue. Protein digest and sample preparation Protein bands were digested with trypsin (Roche) as described previously (Otto et al., 1996). Samples were incubated for 6 h at 37°C without previous alkylation or reduction. Peptides were extracted with increasing acetonitrile concentrations (5, 50 and 90% acetonitrile in 1% formic acid). The extracted peptides were dried in a speed vac (Thermo Fisher Scientific, http://www.thermo.com) prior to analysis or storage at −20°C. For protein digest in solution, at least one volume of trypsin buffer (10% acetonitril, 25 mm Ambic (ammoniumbicarbonate), 0.5% CaCl2) was added to protein samples. Samples were incubated with trypsin beads (GE Healthcare/Amersham Biosciences, http://www5.amershambiosciences.com/) for 6 h at 37°C. Peptide solutions were applied to C18 solid-phase extraction material (Varian, http://www.thermo.com). Elutes were dried overnight and analysed or stored at −20°C. Selectivity and sensitivity tuning on a triple-stage quadrupole mass spectrometer For quantification of all four A. thaliana SPS isoforms in Arabidopsis thaliana crude extracts, peptide multiple reaction monitoring (MRM) using a triple-stage quadrupole mass spectrometer (TSQ Quantum, Thermo Fisher Scientific, http://www.thermo.com) was used. For quantification, stable isotope-labelled internal peptide standards (13C/15N leucine) (Thermo Fisher Scientific) were used. Peptide sequences were derived from SPS5a sequences identified in previous analyses of recombinant SPS5a. For SPS1, SPS4 and SPS5b, homologous and experimentally detected peptide sequences were chosen. Two to three peptides for each isoform were selected. To optimize measurements, single reaction monitoring transitions were recorded for each peptide in advance. Peptide sequences, precursor and product ions, and the corresponding collision energies for collision-induced dissociation are listed in Table 1. All the spectra are stored in ProMEX, a plant proteomics mass spectral reference library (Hummel et al., 2007). The corresponding spectra can be visualized, and unknown tandem mass spectra can be searched through the database for peptide/protein identification purposes.
LC/MS settings Mass spectrometry was performed on a TSQ Quantum Discovery MAX mass spectrometer (Thermo Fisher Scientific) operated in the positive-ion mode. The scan width for all MRMs was 0.7 mass units. The resolution for Q1 was 0.2 mass units; that for Q3 was set to 0.7 mass units. The mass spectrometer was tuned to its optimum sensitivity for each standard peptide as described in detail previously (Glinski and Weckwerth, 2005). Table 1 shows the collision energies used for the recorded transitions. The dwell time per transition was 50 msec. For identification and quantification of the various SPS isoforms, a one-dimensional nanoflow LC system with pre-column (Agilent, http://www.home.aglient.com) was used. A monolithic column (Merck, http://www.merck.com) of 15 cm length and an internal diameter of 0.1 mm was coupled to the TSQ. Peptides were eluted during a 30 min gradient from 5% MetOH to 100% MetOH in 0.1% FA (formic acid) with a controlled flow rate of 0.7 μl min−1. Standard peptide (500 fmol) was added to each sample digest prior to analysis (Wienkoop and Weckwerth, 2006). The spray voltage was set to 1.8 kV and the temperature of the heated transfer capillary was set to 150°C. SPS activity measurements For the analysis of SPS activity in samples of fractionated ammonium sulfate precipitations, protein pellets were taken up in 500 μl HEPES buffer (50 mm, pH 8) and desalted using NAP columns (GE Healthcare, http://www.gehealthcare.com/worldwide.html). Two microlitres of each extract were used for the assay. The method used was as described previously (Gibon et al., 2002, 2004). Acknowledgments We would like to thank Mark Stitt and John Lunn for support and fruitful discussions. Further we acknowledge the support from the Max Planck Society. Last but not least we acknowledge Oliver Fiehn for his spirit. References
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Planta. 1997; 202(1):106-11.
[Planta. 1997]J Biol Chem. 1978 Sep 10; 253(17):5952-6.
[J Biol Chem. 1978]Arch Biochem Biophys. 1981 Nov; 212(1):237-46.
[Arch Biochem Biophys. 1981]Plant Cell. 1997 Jan; 9(1):5-19.
[Plant Cell. 1997]Plant Cell. 1999 Apr; 11(4):707-26.
[Plant Cell. 1999]Curr Opin Plant Biol. 1998 Jun; 1(3):230-4.
[Curr Opin Plant Biol. 1998]Biochem J. 2001 Feb 15; 354(Pt 1):67-72.
[Biochem J. 2001]J Exp Bot. 2002 Apr; 53(370):959-70.
[J Exp Bot. 2002]Plant J. 2002 Apr; 30(2):221-35.
[Plant J. 2002]BMC Bioinformatics. 2007 Jun 23; 8():216.
[BMC Bioinformatics. 2007]Proc Natl Acad Sci U S A. 2003 Jun 10; 100(12):6940-5.
[Proc Natl Acad Sci U S A. 2003]Mol Cell Proteomics. 2005 Oct; 4(10):1614-25.
[Mol Cell Proteomics. 2005]J Exp Bot. 2006; 57(7):1529-35.
[J Exp Bot. 2006]Expert Rev Proteomics. 2006 Dec; 3(6):597-610.
[Expert Rev Proteomics. 2006]Curr Opin Plant Biol. 2003 Jun; 6(3):208-14.
[Curr Opin Plant Biol. 2003]Plant Physiol. 2000 Oct; 124(2):641-54.
[Plant Physiol. 2000]J Mol Evol. 2002 Mar; 54(3):322-32.
[J Mol Evol. 2002]Science. 2000 Dec 15; 290(5499):2110-3.
[Science. 2000]Plant Physiol. 2005 Nov; 139(3):1163-74.
[Plant Physiol. 2005]Plant Physiol. 1992 Sep; 100(1):502-508.
[Plant Physiol. 1992]Plant Cell. 2001 Jul; 13(7):1499-510.
[Plant Cell. 2001]Plant Cell. 1990 Aug; 2(8):755-67.
[Plant Cell. 1990]Nature. 1970 Aug 15; 227(5259):680-5.
[Nature. 1970]Electrophoresis. 1996 Oct; 17(10):1643-50.
[Electrophoresis. 1996]BMC Bioinformatics. 2007 Jun 23; 8():216.
[BMC Bioinformatics. 2007]Mol Cell Proteomics. 2005 Oct; 4(10):1614-25.
[Mol Cell Proteomics. 2005]J Exp Bot. 2006; 57(7):1529-35.
[J Exp Bot. 2006]Plant J. 2002 Apr; 30(2):221-35.
[Plant J. 2002]Plant Cell. 2004 Dec; 16(12):3304-25.
[Plant Cell. 2004]