Abstract
Blood plasma is a valuable source of potential biomarkers. However, its complexity and the huge dynamic concentration range of its constituents complicate its analysis. To tackle this problem, an immunoprecipitation strategy was employed using antibodies directed against short terminal epitope tags (triple X proteomics antibodies), which allow the enrichment of groups of signature peptides derived from trypsin-digested plasma. Isolated signature peptides are subsequently detected using MALDI-TOF/TOF mass spectrometry. Sensitivity of the immunoaffinity approach was, however, compromised by the presence of contaminant peaks derived from the peptides of nontargeted high abundant proteins. A closer analysis of the enrichment strategy revealed nonspecific peptide binding to the solid phase affinity matrix as the major source of the contaminating peptides. We therefore implemented a sucrose density gradient ultracentrifugation separation step into the procedure. This yielded a 99% depletion of contaminating peptides from a sucrose fraction containing 70% of the peptide-antibody complexes and enabled the detection of the previously undetected low abundance protein filamin-A. Assessment of this novel approach using 15 different triple X proteomics antibodies demonstrated a more consistent detection of a greater number of targeted peptides and a significant reduction in the intensity of nonspecific peptides. Ultracentrifugation coupled with immunoaffinity MS approaches presents a powerful tool for multiplexed plasma protein analysis without the requirement for demanding liquid chromatography separation techniques.
The identification of reliable biomarkers in health and disease has gained considerable interest in recent years (1). In many ways, blood plasma is the ideal sample in which to search for them. Not only is it readily available and easy to collect, but it also contains a huge number of different proteins resulting from both active secretion and cell and tissue leakage from the many tissues with which it comes into contact. These include those responsible for coagulation, immune defense, protein transport, and protease inhibition, the levels of which can provide an indication of an individual's health status (2). The identification and validation of novel plasma-derived protein biomarkers is, however, complicated by the enormous complexity and concentration range of the plasma proteome, which spans more than 10 orders of magnitude (3). MS is a useful tool for the identification of novel biomarkers, capable of providing unambiguous protein assignments. However, limitations imposed by the various ionization processes impact on both the complexity and dynamic range of analytes measurable. A solution to this problem involves the removal of albumin and other highly abundant proteins using immunoaffinity columns (4–7), yet nonspecific depletion of proteins not targeted by the immunoaffinity columns has been reported (8), and depletion efficiency and reproducibility has been found to vary with increasing column use (9–11). Alternatively, sample complexity can be reduced by extensive fractionation using multidimensional separation methods such as two-dimensional PAGE or multidimensional liquid chromatography (12, 13), but such methods are limited by low sample throughput, insufficient sensitivity, unreliability, and cost (14). In contrast, group-specific fractionation of peptides from complex samples has been successfully implemented in a variety of applications such as enrichment of, for example, cysteine-containing or glycosylated peptides (15, 16). Nevertheless, such approaches are limited to the detection of peptides carrying a distinct modification. For targeted issues, peptide-specific antibodies are used for peptide-specific enrichment of tryptically digested proteins. Immunoprecipitates are typically analyzed by highly selective mass spectrometry approaches such as multiple reaction monitoring and quantification of these signature peptides achieved using stable isotope dilution (17, 18). These immunoaffinity-MS approaches have the advantage of relatively high sensitivity and specificity and can be semiautomized, enabling medium sample throughput (19). Although such approaches have proven capable of isolating peptides derived from clinically relevant plasma proteins (20, 21), they are limited by the availability of appropriate capture antibodies for the proteins and peptides of interest. The requirement of one specific antibody for each analyte is very costly, and the generation of a new antibody for each new marker of interest is time-consuming. Recently published group-specific affinity enrichment strategies could circumvent this problem (22, 23). The triple X proteomics approach employs group-specific antibodies directed against short terminal epitopes (3–4 amino acids) at the N or C terminus of tryptically digested peptides (22) followed by identification of the different captured peptides using tandem MS. As previously demonstrated, this approach enables the efficient enrichment of groups of targeted analytes in cell lysates while reducing the sample complexity sufficiently for fast tandem MS-based peptide identification (24). We therefore investigated the suitability of this TXP1 immunoaffinity approach to the analysis of nondepleted plasma digest samples.
Matrices applied in immunoaffinity workflows such as protein G beads are prone to nonspecific peptides binding (8, 25). This has been addressed in approaches employing elaborate washing procedures, such as the “magnetic bead trap” prototype. Here, protein G-bound antibody-peptide immunocomplexes are cleansed by applying a counterflow (25). As an alternative we investigated a strategy employing an in-solution separation of antibody-peptide complexes from the remaining digest. In 1934, Theodor Svedberg (26) reported the in-solution separation of molecules with different molecular weights using ultracentrifugation. Nearly another 40 years passed before Tengerdy and Faust (27) applied this technique to the separation of antigen-antibody complexes from unbound antigens, and in 1984, Rødahl et al. (28) used an ultracentrifugation procedure to isolate autoimmune complexes from serum. We decided to revisit the idea of using ultracentrifugation to separate peptides bound to TXP antibodies from residual nontargeted peptides in plasma protein digests. 15 TXP antibodies targeted against N- or C-terminal 4–5-amino acid epitopes of plasma proteins differing in their abundances were evaluated using MALDI-TOF/TOF mass spectrometry. Our findings support the use of ultracentrifugation as a fractionation tool for immunoaffinity enrichment MALDI-mass spectrometry-based human plasma proteomics.
EXPERIMENTAL PROCEDURES
Generation and Characterization of Anti-peptide Antibodies
Polyclonal rabbit antibodies were generated and purified as previously described (24). Binding affinities of the purified polyclonal monospecific antibodies were determined using a competitive immunoassay modified after the method of Friguet et al. (29, 30). For this purpose, the peptide antigens were immobilized to color-coded beads as previously described (24, 31). 400 pg of antibody were preincubated with a 12-step serial dilution of the soluble peptide antigen ranging from 5 μm down to 80 pm in 0.1% Tween, PBS for 60 min at room temperature. 500 peptide-coupled beads were added and incubated for additional 60 min. Noncomplexed antibody was detected by incubation with PE-labeled anti-rabbit antibody (2.5 μg/ml; Jackson ImmunoResearch, West Grove, PA). The median bead type-specific fluorescence was determined with a Luminex FlexMap 3D system by measuring 100 bead events. As a mean of affinity, the half-maximal effective concentration (EC50) of the peptide was calculated using a four-paramatric logarithmic fit.
Isotopically Labeled Peptide Standards
The vitamin K-dependent protein S peptide NIPGDFECECPEGYR* containing an 13C/15N isotopically labeled arginine was purchased from Intavis (Cologne, Germany). The increase in mass from the unlabeled NIPGDFECECPEGYR was 10 Da. The peptide stock concentration was determined by amino acid analysis at Medizinisches Proteom-Center (Bochum, Germany).
Blood Plasma Collection
Blood was drawn from the senior author; he had fasted for 10 h, and blood was collected by venous puncture using a 21-gauge Safety Multifly® 0.8 mm/19 mm needle (Sarstedt, Nümbrecht, Germany). A total of 30 ml of blood was collected in four 7.5 ml plasma lithium-heparin S-Monovette® tubes (Sarstedt). Immediately following blood collection and mixing with heparin in the tubes, the samples were centrifuged at room temperature for 10 min at 4000 rpm using a Rotanta/RP5094 rotor (Hettich, Tuttlingen, Germany) to pellet the cells. Plasma supernatant was collected immediately after centrifugation, transferred into 1.5 ml Eppendorf tubes in 60 μl/tube aliquots, and stored at −80 °C for 2–4 months. Total elapsed time from collection to storage was 1 h. The experiments were performed according to German law and the Declaration of Helsinki asserted by the institutional ethical committee (Ethik-Kommission der Medizinischen Fakultät und am Universitätsklinikum Tübingen).
Preparation of Tryptic Plasma Digests
Tryptic plasma digests were prepared by diluting 60 μl of whole plasma with 540 μl of 50 mm triethanolamine, pH 8.5. 30 μl of 10% n-octyl-β-d-glucopyranoside solution and 3 μl of the reducing agent tris(2-carboxyethyl)phosphine (1 m) were added. The samples were denatured for 5 min at 100 °C. After cooling to room temperature, the samples were alkylated with 6.6 μl of 1 m iodoacetamide at room temperature in the dark for 30 min. 100 μg of modified Trypsin Gold, mass spectrometry grade (Promega, Madison, WI) was resuspended in 100 μl of 50 mm acetic acid. 98 μl of the resuspended trypsin was added to the alkylated plasma samples (substrate:enzyme ratio 40:1). Digestion was carried out for 16 h at 37 °C with continuous mixing (650 rpm) in a Thermomixer (Eppendorf, Hamburg, Germany). Trypsin activity was stopped by heating the sample to 100 °C for 5 min and by the addition of 3.8 μl of 200 mm phenylmethanesulfonyl fluoride. Digested samples were pelleted (13,000 × g, 10 min). 200-μl aliquots of the supernatant were lyophilized and reconstituted in 50 or 100 μl deionized water as required. The reconstituted plasma digest had a pH of 7.2 and contained 16 μl of initial plasma volume.
Desalting and Concentrating Digested Plasma Peptides for MALDI-TOF-MS
μC18 ZipTip pipette tips (Millipore, Schwalbach, Germany) were used according to the manufacturer's instructions to bind and desalt peptides from the plasma digest.
In-solution Immunocomplex Formation and Purification Using Density Gradient Ultracentrifugation
Each of the reconstituted plasma digest samples (50 μl) was incubated for 1 h at room temperature with 10 μg of one of the respective antibodies. Incubated samples were either processed by protein G magnetic bead enrichment as described below (controls) or as follows. A three-layer sucrose density gradient was prepared by carefully pipetting the sucrose solutions into a 1.5 ml centrifugation tube (Beckman Coulter, Brea, CA) (bottom layer, 350 μl of 30% sucrose, PBS; middle layer, 350 μl of 20% sucrose, PBS; and top layer, 450 μl of 10% sucrose, PBS). The sample (50 μl) was carefully loaded onto the top of the sucrose gradient, and the sample tubes were placed into a TL-100 ultracentrifuge (Beckman Coulter) with fixed angle rotor (TLA-55). Centrifugation was carried out at 4 °C, 55,000 rpm (135,000 × g average relative centrifugal force) for 15 h. After centrifugation, the tubes were punctured at the bottom with a 20-gauge needle and fractions with defined volumes (50 or 500/400/300 μl) removed using a pipette.
Bead-based Model Assay
Three bead-based immunoassays (Luminex Corp., Austin, TX) comprising biotinylated HA peptide (Biotin-Doa-Doa-YPYDVPDYA-NH2; Intavis) and rat anti-HA tag antibody (clone 3F10; provided by Elisabeth Kremmer, Munich, Germany) were established to compare and quantify the peptide-antibody complex, total peptide, and total antibody (C) in the controls and fractions obtained from ultracentrifugation: (a) Antibody and antibody-peptide complex were captured in a 1 h incubation with donkey anti-rat antibody-coupled beads (1000 beads/sample). After three washing steps, only the captured antibody-peptide complex was detected using streptavidin-PE conjugate (2.5 μg/ml; Jackson ImmunoResearch). (b) Free peptides and antibody-peptide complexes were captured by a 1 h incubation with streptavidin-coated beads (1000 beads/sample). After washing, the captured peptides were detected by a 1 h incubation with 30 μl of rat anti-HA antibody (1 μg/ml), followed by washing and 45 min of incubation with 30 μl of PE-labeled anti-rat detection antibody (2.5 μg/ml; Jackson ImmunoResearch). (c) The total amount of antibodies was measured by a sandwich immunoassay starting with a 1 h incubation with donkey anti-rat antibody-coupled beads (1000 beads/sample). After washing, the captured antibodies were detected by 45 min of incubation with 30 μl of PE-labeled anti-rat detection antibody (2.5 μg/ml; Jackson ImmunoResearch). Covalent coupling of streptavidin (Pierce) and donkey anti-rat antibodies (Jackson ImmunoResearch) to carboxylated fluorescent beads (Luminex Corp.) was done using standard 1-ethyl-3-[3-dimethylaminopropyl]carbodiimide hydrochloride/N-hydroxysulfosuccinimide chemistry as previously described (32). All of the incubation steps were performed in MultiScreen 96-well filter plates (Millipore, Billerica, MA) at room temperature in an orbital shaker at 650 rpm. Blocking reagent for ELISA (Roche), 0.05% Tween 20 was employed as assay and dilution buffer in all steps. The median bead type-specific fluorescence was determined with a Luminex 100 IS system by measuring 100 bead events.
Magnetic Bead-based Immunoaffinity Peptide Enrichment
Reconstituted plasma digest samples (50 or 100 μl) or fractions obtained after ultracentrifugation (500, 400, or 300 μl) were incubated for 1 h at room temperature with 10 μg of the respective antibodies. Antibody-peptide complexes were captured from samples with 5 μl of protein G Dynabeads (Invitrogen) per μg antibody, washed, and eluted in a magnetic particle handling system (KingFisher) as described previously (19, 24, 33). 1 μl of 50 μl of eluted peptide solution representing 320 nl of plasma was spotted onto a prespotted α-cyano-4-hydroxycinnamic acid AnchorChip (Bruker Daltonics, Bremen, Germany) for mass spectrometric analysis.
Quantification of Vitamin K-dependent Protein S
Recovery and concentration of the endogenous plasma vitamin K-dependent protein S peptide were determined using isotopically labeled NIPGDFECECPEGYR* peptide (molecular weight, 1851.73) that was spiked into digested plasma samples or PBS, 0.3% n-octyl-β-d-glucopyranoside before incubation with antibodies to give different concentrations in 100 μl of volume. In addition, a blank sample without labeled peptide was run in each assay. Assay sensitivity was determined by the analysis of signal to noise values (minimum 3) for this peptide. Endogenous protein S peptide (m/z 1842.72) amount was analyzed by comparing the signal to noise values for m/z 1842.72 and 1852.73). To determine enogenous peptide recovery, different concentrations of isotopically labeled NIPGDFECECPEGYR* peptide were spiked into the immunoprecipitated blank sample just before spotting onto the MALDI target, and endogenous peptide amounts were compared for peptide spike-in before and after ultracentrifugation/immunoprecipitation. Four independent experiments were performed. Each sample was spotted four times onto the MALDI target, and the mean values were taken.
Peptide Identification by MALDI-TOF-MS/MS
MS and MS/MS spectra were obtained using an Ultraflex III MALDI-TOF/TOF mass spectrometer equipped with a LIFT unit for tandem MS analysis (Bruker Daltonics). Mass spectrometry was performed in positive ion reflectron mode with a deflector cutoff up to 550 Da. All of the spectra were analyzed using flexAnalysis 3.0 software (Bruker Daltonics). Mass calibration was carried out using the prespotted calibrants on the AnchorChip target plates. The flexAnalysis peptide mass fingerprint method was used for automatic annotation of ion masses and generation of peak lists in the mass range from 700 to 5000 Da. Only peaks with a signal to noise ratio higher than 10 were selected for MS/MS analysis. The laser power and number of shots (2000–4000) were adjusted manually by the operator. Monoisotopic masses of annotated peaks were compared with SwissProt database entries restricted to human taxonomy (release 2010_07, containing 20,253 human sequence entries) using the ProteinScape 2.1 software (Bruker Daltonics) and the MASCOT 2.3 search engine (Matrix Science, London, UK). MASCOT searches were restricted to trypsin or semi-trypsin digestion with one partial cleavage. Carbamidomethylation of cysteine was set as a fixed modification. No variable modifications were taken into account. Mass tolerances were set to 50 ppm for precursor ions and 0.7 Da for fragment ions. Only peptides that were identified by Mascot ion scores that indicated identity or extensive homology with p < 0.05 were regarded as valid. Annotated MSMS spectra of all peptide identifications can be found in supplemental Fig. 3. The data associated with this manuscript may be downloaded from ProteomeCommons.org Tranche using the following hash code: T1p0LtZWrUobLpzrN+ely4CWlCuV6Hty6vxhd0Sd0i/SXAoTm3e6HkHFMsFA2MtOSnzwXTdWURbWP9eYLiuBafMVCe0AAAAAAAbOEg = =.
Statistical Analysis
Nonparametric group comparisons were performed using the Mann-Whitney test. For multiple group comparisons, the nonparametric Kruskal-Wallis test was used. All of the statistical analysis was carried out using StatistiXL version 1.8 (StatistiXL, Nedlands, Australia).
RESULTS
Antigen Selection and Antibody Characterization
Mass spectrometry-based triple X proteomics employs antibodies capable of recognizing groups of tryptic peptides containing common short terminal epitopes. To assess the suitability of the TXP approach for plasma proteomics, antibodies were generated against 15 different antigens. The selection was based on two criteria. First, the antibodies were required to bind to N- or C-terminal epitopes of tryptic peptides from plasma proteins. Second, the panel of antibodies was required to target peptides present at a broad range of concentrations (mg/ml to pg/ml; Table I). This was done to obtain an estimation of the dynamic range of the assay. After antibody generation the antibodies were purified by peptide affinity chromatography. The binding affinity of the purified IgGs was evaluated using a competitive immunoassay setup (29, 34). Here, the antibodies were incubated in solution with different amounts of soluble peptide antigen, and the half-maximal effective concentration of the peptide capable of inhibiting the antibody-antigen interaction with peptides immobilized on a solid-surface was determined. This method was chosen because polyclonal antibody preparations consist of different antibody populations showing different dissociation constants (KD). Therefore a true KD cannot be determined for polyclonal antibodies (30). Nevertheless, the EC50 measurement can provide a good measure of affinity to compare polyclonal antibodies. The results are given in supplemental Table 1 showing EC50 in the nanomolar range suitable for immunoprecipitation procedures.
Table I. TXP epitopes and target peptides of the 15 TXP antibodies used.
Antibody specificity | Specified target peptide | Sequence | Plasma level, μg/ml | Reference | |
---|---|---|---|---|---|
VLLD | N-terminal | Complement C3 | VLLDGVQNPR | 1300 | 38 |
Apolipoprotein B-100 | VLLDQLGTTISFER | 915 | 39 | ||
VELED | N-terminal | Fibrinogen γ chain | VELEDWNGR | 915 | 39 |
Fibrinogen α chain | VELEDWAGNEAYAEYHFR | 1250 | 39 | ||
AFVK | C-terminal | Apolipoprotein B-100 | DAVEKPQEFTIVAFVK | 915 | 39 |
Serotransferrin | DGAGDVAFVK | 4000 | 38 | ||
DAPK | C-terminal | Ceruloplasmin | IYHSHIDAPK | 280 | 38 |
DTWK | C-terminal | Alkaline phosphatase | LDGLDLVDTWK | 0.04 | 38 |
DYGK | C-terminal | Apolipoprotein A-II | EPCVESLVSQYFQTVTDYGK | 244 | 38 |
EGYR | C-terminal | Vitamin K-dependent protein S | NIPGDFECECPEGYR | 25 | 39 |
EHLR | C-terminal | Receptor tyrosine-protein kinase erbB-2 | VCYGLGMEHLR | 0.01 | 38 |
ESFR | C-terminal | Tenascin | APTAQVESFR | 1 | 38 |
EVLR | C-terminal | Serum paraoxonase/arylesterase 1 | IFFYDSENPPASEVLR | 59.3 | 38 |
FPPK | C-terminal | Tumor necrosis factor receptor superfamily member 11B | WTTQETFPPK | 0.000035 | 38 |
LEVK | C-terminal | Keratin, type I cytoskeletal 19 | ALEAANGELEVK | 0.0024 | 38 |
PIEK | C-terminal | Leptin receptor | YYIHDHFIPIEK | 0.0048 | 38 |
QGYR | C-terminal | Vitamin K-dependent protein Z | TDGCQHFCLPGQESYTCSCAQGYR | 3 | 39 |
VEVSR | C-terminal | Serum albumin | VPQVSTPTLVEVSR | 41000 | 38 |
Clusterin | LFDSDPITVTVPVEVSR | 100 | 39 |
Immunoaffinity Enrichment of Plasma Digest Peptides with TXP Anti-EGYR Antibodies
As a proof-of-principle, we investigated whether TXP antibodies targeting the short C-terminal sequence EGYR were capable of enriching peptides from a tryptic digest of human blood plasma. Anti-EGYR antibodies were chosen as EGYR-containing tryptic peptides were common products of moderately abundant (μg/ml) human plasma proteins as determined by in silico digestion. Anti-EGYR antibodies were incubated with the digested sample, and antibody-peptide complexes were isolated using magnetic protein G beads. The captured peptide pool was eluted and analyzed by MALDI-TOF/TOF MS. Fig. 1A shows a representative spectrum obtained following immunoprecipitation with anti-EGYR antibodies. All of the peaks with a signal to noise ratio higher than 10 were subject to post source decay fragmentation and comparison with the Mascot database. The search identified two peptides (VVCSCTEGYR and NIPGDFECECPEGYR) containing the C-terminal EGYR epitope assignable to coagulation factor IX and vitamin K-dependent protein S, respectively (Table II). Several other peptides derived from albumin or other highly abundant proteins were also identified (supplemental Table 2). In contrast, C18 reverse phase purification of the plasma digest without immunoaffinity enrichment only yielded nontargeted peptides derived from highly abundant proteins (Fig. 1B). These data suggested that although the TXP assay had been effective in isolating two proteins of interest, the nonspecific binding of peptides derived from high abundant plasma proteins had potentially hampered the detection of other relevant target proteins.
Table II. Comparison of identified peptides harboring the C-terminal EGYR target sequence.
Protein name | Amino acid sequence | m/z | Reported human plasma level | Peak detected without/with ultracentrifugation |
---|---|---|---|---|
Coagulation factor IX | VVCSCTEGYR | 1230.49 | 4 μg/ml (Ref. 48) | +/+ |
Isoform 2 of filamin-A | MDCQECPEGYR | 1444.48 | 35 ng/ml (Ref. 35) | −/+ |
Vitamin K-dependent protein S | NIPGDFECECPEGYR | 1842.68 | 25 μg/ml (Ref. 39) | +/+ |
To identify the factors responsible for the presence of the nontargeted peptides, two control assays were carried out. In the first assay the same procedure described above was employed but without the TXP antibodies. The resulting mass spectrum revealed several peptides, most of which were shown to be derived from albumin upon fragmentation and database searching (Fig. 1C and supplemental Table 2). None of the peptides containing the C-terminal EGYR sequence were detected here. In a second control experiment, the assay was repeated with the omission of the magnetic protein G-coupled beads as well as the antibodies. Remarkably, the nonspecific albumin peptides were still clearly visible in the mass spectra, albeit at a 5–10-fold lower intensity (Fig. 1, C and D). This suggests that even the disposable plastic components of the magnetic bead handler contributed to the presence of the contaminating peptides. Based on these findings, we set about developing an in-solution purification step capable of separating the antibody-peptide complexes from the nonspecifically bound peptides present in the digested plasma sample. We chose to explore the use of ultracentrifugation, so as to minimize contact with surfaces to which the contaminating peptides could adhere.
Bead-based Immunoassays for the Quantification of HA Peptide, Anti-HA Antibody, and Anti-HA Antibody/HA-Peptide Complexes
Three bead-based sandwich immunoassays incorporating synthetic biotinylated HA peptide and anti-HA tag antibody were established to quantify the distribution of peptide, antibody, and antibody-peptide complex after ultracentrifugation. In the first assay, antibody-peptide complexes were captured using donkey anti-rat antibody-coated beads and detected with a streptavidin-PE conjugate. In the second assay, the biotinylated HA peptide was captured with streptavidin-coupled beads, incubated with rat anti-HA antibodies, and detected with donkey anti-rat antibody-PE conjugate. In the third assay, the total amount of antibody was quantified in a sandwich immunoassay format using two anti-rat specific antibodies as capture and detection molecules. Incorporating the high affinity HA antibody and streptavidin capture molecules enabled highly sensitive detection. Working ranges of the assays were from 0.08 to 2 ng/ml and 0.008 to 0.7 μg/ml for the peptide and antibodies, respectively (supplemental Fig. 1). The immunocomplex could only be relatively quantified.
Density Gradient Ultracentrifugation for the Purification of Antibody-Peptide Complexes from Plasma Digests
A mixture containing a 250-fold excess of HA-peptide (250 μg) to anti-HA antibody was pipetted onto the top of the sucrose density gradient. This antibody to peptide ratio was chosen because it resembles a typical molar excess of tryptic fragments derived from high abundant plasma proteins to antibody in an immunoaffinity setup. After ultracentrifugation, 27 fractions were collected as described under “Experimental Procedures.” The samples were subsequently diluted, and the amounts of peptide and antibody were quantified relative to an external standard using the assays described above. The analyses showed that the antibodies and antibody-peptide complexes were present in the lower fractions of the gradient (Fig. 2A, fractions 1–15), whereas free HA-peptide was mainly found in the upper fractions (Fig. 2A, fractions 10–27). 70% of the antibody (both free and peptide-bound) and less than 1% of excess peptide were present in the lower 500 μl of the sucrose gradient (Fig. 2B).
Immunoaffinity Enrichment of EGYR-containing Peptides Using Density Gradient Purification and Magnetic Bead Separation
Purification of antibody-peptide complexes from plasma by density gradient ultracentrifugation was evaluated using anti-EGYR antibodies. The ultracentrifugation step was inserted between the incubation of the plasma digest with the anti-EGYR antibodies and precipitation using protein G magnetic beads. Three fractions of 500 μl (containing 70% of the peptide-antibody complex; see Fig. 2), 400 μl, and 300 μl were collected from the bottom of the centrifugation tube, respectively. For process control purposes, antibody sedimentation was visually verified using Cy5-labeled IgG (Fig. 3, B–D, insets). The MS spectrum of the top gradient fraction (Fig. 3B) was very similar to that of the control where no centrifugation step was implemented (Fig. 3A), predominantly comprising peptides derived from the highly abundant proteins, such as m/z 1160.591, 1311.744, or 1467.843. In contrast, the two target peptides (m/z 1230.534 and 1842.747) corresponding to coagulation factor IX and vitamin K-dependent protein S were clearly detectable in the bottom fraction (Fig. 3D). They were also detectable in the middle fraction (Fig. 3C) along with the high abundant peptides, albeit marginally. Interestingly, a previously undetected peptide (MDCQECPEGYR) derived from the protein filamin-A could also be identified in the peptide complex-purified fraction (Fig. 3D).
To obtain some measure of the improved sensitivity gained through the implementation of the ultracentrifugation procedure, the signal to noise value of the NIPGDFECECPEGYR target peptide (m/z 1842.747, vitamin K-dependent protein S) was compared with the signal to noise values of α-1-acid glycoprotein 1 (m/z 1160.70, WFYIASAFR) and human serum albumin (m/z 1311.77, HPDYSVVLLLR; and m/z 1467.85, RHPDYSVVLLLR). Ultracentrifugation improved the signal to noise ratio of the EGYR target to nonspecific peptides more than 2000 fold (Fig. 4A).
Quantitative assessments of the ultracentrifugation procedure were performed using isotopically labeled NIPGDFECECPEGYR* peptides. Different concentrations of labeled peptides were spiked into plasma digest samples before incubation with the antibodies. The comparison of the results obtained with and without ultracentrifugation revealed a drastically increased signal to noise ratio for peaks derived from the isotopically labeled peptide after ultracentrifugation (Fig. 4B). For all concentrations tested, at least a 25-fold increase in signal to noise ratio was observed with the use of ultracentrifugation in comparison with the procedure without ultracentrifugation. Robust signals with signal to noise ratios of >10 were obtained without ultracentrifugation for 17.1 nm of spiked-in peptide, whereas a 10-fold lower concentration could still be detected with ultracentrifugation. A peptide concentration of ∼45 nm had to be applied without ultracentrifugation to result in the same signal to noise ratios as with 3 nm using ultracentrifugation. Thus, a 25-fold sensitivity improvement could be achieved by the use of ultracentrifugation.
In addition, we determined the peptide recovery after ultracentrifugation and immunoprecipitation on the basis of vitamin K-dependent protein S peptide. This was achieved by spiking the isotopically labeled peptide into the plasma digest before incubation with the antibodies and into the immunoprecipitate of a different aliquot of the same digest sample just before spotting onto the MALDI target. The recovery of endogenous peptide was determined as 51 ± 13%. Furthermore, the endogenous protein concentration was determined as 24.2 ± 3.7 μg/ml.
Combined Ultracentrifugation and TXP Immunoaffinity Assay Using 15 TXP Antibodies
Based on the encouraging results described above, we investigated the impact of the ultracentrifugation purification step using a panel of MS-based TXP immunoaffinity assays targeting a broad range of tryptically digested plasma proteins. In total, 42 plasma peptides were identified requiring only 15 TXP antibodies (Table III). A maximum of three peptides sharing the same C-terminal TXP tag sequence were detectable by one single antibody (epitope EGYR). Peptides were also detected where one amino acid did not correspond to the TXP tag sequence. Nevertheless, the cross-reactions can be explained by similar physicochemical properties of the respective amino acid. This broader capture capacity enabled the detection of up to six different peptides by one TXP antibody (epitope ESFR) leading to the successful identification of five different plasma proteins. In the majority of cases, at least two peptides could be identified per antibody. Exceptions were the anti-DAPK and anti-LEVK antibodies where only one peptide could be identified for each. For four of the antibodies (epitopes DTWK, ESFR, LEVK and QGYR) only peptides with one amino acid mismatch in their terminal sequence could be identified.
Table III. List of peptides identified from the immunoaffinity enrichment of plasma peptides using the 15 TXP antibodies.
TXP tag | Molecular mass, Da | Sequence | Protein name | Accession number | Plasma concentration, μg/ml | Reference | Ultracentrifugation |
No ultracentrifugation |
||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Mascot score | Identified | Identified in triplicate | Mascot score | Identified | Identified in triplicate | |||||||
VLLD | 1110.57 | VLLDGVQNPR | Complement C3 | P01024 | 1.3E+03 | 38 | 63 | × | 71 | × | ||
VLLD | 1591.86 | VLLDQLGTTISFER | Apolipoprotein B-100 | P04114 | 9.15E+02 | 39 | 85 | × | 59 | × | ||
VLLD | 1702.79 | VFLDCCNYITELR | Complement C3 | P01024 | 1.3E+03 | 38 | 57 | × | ||||
VELED | 1117.53 | VELEDWNGR | Isoform γB of fibrinogen γ chain | P02679 | 9.15E+02 | 39 | 64 | × | × | 64 | × | |
VELED | 2198.95 | VELEDWAGNEAYAEYHFR | Isoform 1 of Fibrinogen α chain | P02671 | 1.25E+03 | 39 | 80 | × | 55 | × | × | |
AFVK | 978.47 | DGAGDVAFVK | Serotransferrin | P02787 | 4.00E+03 | 38 | 30 | × | ||||
AFVK | 1152.58 | QPSSAFAAFVK | Complement C3 | P01024 | 1.3E+03 | 38 | 45 | × | 66 | × | ||
DAPK | 1180.61 | IYHSHIDAPK | Ceruloplasmin | P00450 | 2.80E+02 | 38 | 67 | × | × | 38 | × | × |
DTWK | 1601.84 | VSALLTPAEQTGTWK | Apolipoprotein B-100 | P04114 | 9.15E+02 | 39 | 59 | × | ||||
DTWK | 1893.89 | ASTPNGYDNGIIWATWK | Isoform γB of Fibrinogen γ chain | P02679 | 9.15E+02 | 39 | 95 | × | × | |||
DYGK | 1074.54 | LDELRDEGK | Serum albumin | P02768 | 4.10E+04 | 38 | 35 | × | ||||
DYGK | 2350.13 | EPCVESLVSQYFQTVTDYGK | Apolipoprotein A-II | P02652 | 2.44E+02 | 38 | 141 | × | 170 | × | × | |
EGYR | 1230.49 | VVCSCTEGYR | Coagulation factor IX | P00740 | 4.50E+00 | 48 | 66 | × | × | |||
EGYR | 1444.51 | MDCQECPEGYR | Isoform 2 of filamin-A | P21333 | 3.50E-02 | 40 | 35 | × | ||||
EGYR | 1842.68 | NIPGDFECECPEGYR | Vitamin K-dependent protein S | P07225 | 2.50E+01 | 39 | 113 | × | × | 62 | × | |
EHLR | 1395.78 | SSNLIILEEHLK | Complement factor H | P08603 | 5.00E+02 | 39 | 48 | × | 54 | × | × | |
EHLR | 1545.69 | GFMQTYYDDHLR | Apolipoprotein C-IV | P55056 | 1.00E+00 | 39 | 38 | × | ||||
EHLR | 2509.05 | SCVGETTESTQCEDEELEHLR | Complement component C7 | P10643 | 5.20E+01 | 38 | 163 | × | × | 136 | × | × |
ESFR | 1126.55 | LHVDPENFR | Hemoglobin subunit δ | P68871 | 3.25E+01 | 39 | 56 | × | × | 78 | × | × |
ESFR | 1169.51 | SSALDMENFR | Inter-α-trypsin inhibitor heavy chain H2 | P19823 | 2.10E+02 | 39 | 32 | × | 42 | × | × | |
ESFR | 1519.72 | ALYLQYTDETFR | Ceruloplasmin | P00450 | 2.80E+02 | 38 | 108 | × | × | 98 | × | × |
ESFR | 1647.82 | KALYLQYTDETFR | Ceruloplasmin | P00450 | 2.80E+02 | 38 | 59 | × | 70 | × | × | |
ESFR | 1927.92 | SLAELGGHLDQQVEEFR | Apolipoprotein A-IV | P06727 | 1.90E+02 | 39 | 52 | × | 80 | × | × | |
ESFR | 2707.10 | HQPQEFPTYVEPTNDEICEAFR | Vitamin d-binding protein | P02774 | 5.50E+02 | 39 | 128 | × | × | 148 | × | × |
EVLR | 774.42 | ECEELLR | Sterile α and TIR motif-containing protein 1 | Q6SZW1 | NK | - | 31 | × | ||||
EVLR | 1290.70 | SLTTNIMEILR | Fibrinogen α chain | P02671 | 1.25E+03 | 39 | 72 | × | × | |||
EVLR | 1629.81 | SLTTNIMEILR | Fibrinogen α chain | P02671 | 1.25E+03 | 39 | 139 | × | × | 51 | × | |
EVLR | 1883.90 | IFFYDSENPPASEVLR | Serum paraoxonase/arylesterase | P27169 | 5.93E+01 | 38 | 145 | × | × | 42 | × | |
EVLR | 2199.10 | YNPVVIDFEMQPIHEVLR | Complement component C8 α chain | P07357 | 4.70E+01 | 39 | 68 | × | × | |||
FPPK | 1492.65 | TPSCGDICNFPPK | C4b-binding protein α chain | P04003 | 3.65E+02 | 39 | 70 | × | × | |||
FPPK | 2619.28 | THTCPPCPAPELLGGPSVFLFPPK | Anti-RhD monoclonal T125 γ1 heavy chain precursor | P01857 | 4.30E+03 | 39 | 116 | × | × | |||
LEVK | 1419.72 | VQFELHYQEVK | Inter-α-trypsin inhibitor heavy chain H2 | P19823 | 2.10E+02 | 39 | 50 | × | 75 | × | ||
PIEK | 824.48 | GLPAPIEK | Ig γ-2 chain C region | P01859 | 2.84E+03 | 39 | 55 | × | × | 53 | × | × |
PIEK | 838.49 | ALPAPIEK | Ig γ-1 chain C region | P01857 | 4.30E+03 | 39 | 66 | × | × | 64 | × | × |
PIEK | 1266.74 | VSNKALPAPIEK | Ig γ-1 chain C region | P01857 | 4.30E+03 | 39 | 36 | × | ||||
QGYR | 1022.55 | ATVVYQGER | β2-Glycoprotein 1 | P02749 | 2.25E+02 | 39 | 39 | × | × | 47 | × | × |
QGYR | 1110.54 | STTPDITGYR | Fibronectin | P02751 | 3.00E+02 | 39 | 32 | × | ||||
QGYR | 1330.74 | LNMGITDLQGLR | Complement C4-A | P0C0L4 | 1.00E+02 | 39 | 40 | × | ||||
QGYR | 1712.79 | GECQAEGVLFFQGDR | Hemopexin | P02790 | 8.25E+02 | 39 | 88 | × | × | 89 | × | × |
VEVSR | 1511.86 | VPQVSTPTLVEVSR | Serum albumin | P02768 | 4.10E+04 | 38 | 127 | × | × | 112 | × | × |
VEVSR | 1639.95 | KVPQVSTPTLVEVSR | Serum albumin | P02768 | 4.10E+04 | 38 | 125 | × | × | |||
VEVSR | 1873.99 | LFDSDPITVTVPVEVSR | Clusterin | P10909 | 1.0E+02 | 39 | 25 | × |
The incorporation of the density gradient purification step permitted the identification of 37 peptides from at least one of three technical replicate experiments. 57% of these were identified in all three replicates. Notably, 13 peptides were uniquely identified with the procedure incorporating ultracentrifugation. In comparison, only 29 peptides were identified without the added purification step. Of these, 55% could be identified in all three replicates. Five peptides were identified solely in the noncentrifuged controls.
To evaluate any benefits in the sensitivity afforded by the added purification step, a comparison of the signal to noise ratios for one target peptide was compared with that of three nonspecific high abundant peptides. For 10 of 15 TXP antibodies investigated, a significantly improved signal to noise ratio was observed for the target peptide where the centrifugation step had been implemented (Fig. 4 and supplemental Fig. 2).
DISCUSSION
The vast library of organo-specific, disease-diagnostic information contained within blood plasma, combined with its availability and ease of sampling, make it the most significant clinical sample for biomarker discovery to date. However, accessing this information is a major challenge given the complexity and concentration range of its protein composition. In this study, the suitability of a MALDI mass spectrometry-based group-specific immunoaffinity enrichment assay for the identification of human blood plasma proteins was investigated. As previously reported, groups of peptides sharing a common N- or C-terminal 4–5-amino acid motif can be enriched from tryptically digested biological samples using so-called TXP antibodies generated against these short terminal epitopes (24). Although the TXP approach for the identification of plasma peptides was successful, the mass spectra produced were dominated by peaks corresponding to nonspecific high abundant plasma peptides. The detrimental effects of these peptides upon the detection of the targeted low abundance peptides is well documented (35). Sucrose density gradient ultracentrifugation following incubation of the tryptic plasma digest with an antibody led to the removal of 99% of peptides not bound to antibodies. The application of a panel of TXP antibodies generated against 15 different C- or N-terminal sequences to a plasma protein digest using a led to the successful identification of 37 peptides, of which up to six were identified using just one antibody. Our findings support the combined application of MALDI MS-based TXP immunoaffinity assays and density gradient purification for the identification of multiple plasma proteins. To our knowledge, this is the first study that uses immunoaffinity-MALDI MS without LC separation for the targeted and nontargeted identification of several plasma proteins.
Peptide targeting immunoaffinity assays described by us and others (24, 36) comprise incubation of digested plasma with antibodies followed by solid phase precipitation using protein G-coated magnetic beads, elution of the targeted peptides, MALDI-TOF/TOF MSMS analysis, and subsequent protein assignment by database comparison. We successfully isolated two tryptic plasma peptides using a TXP antibody specific for the short C-terminal EGYR sequence originating from coagulation factor IX and vitamin K-dependent protein S. The detection of these two proteins, which have been reported to be present at 4 and 25 μg/ml in plasma, was not possible when only using C18 reversed phase ZipTip columns. This was to be expected, however, given the concentration range and breadth of the plasma proteome and the matrix and analyte ion suppression effects characteristic of the MALDI (along with the electrospray) ionization techniques (35, 37). Nevertheless, the domination of nontargeted peptides derived from highly abundant proteins following anti-EGYR antibody immunoprecipitation was unexpected. Control experiments revealed that their presence could be mainly traced back to their nonspecific binding to the large surface of the protein G beads (Fig. 1C), a problem also reported by other groups (20, 25).
As a result of these findings, we began searching for a solid phase-free separation technique. Classical density gradient ultracentrifugation was particularly attractive because it enables the separation of antibody-complexed peptides while minimizing exposure of the dominant high abundant protein derived peptides to large surface areas where nonspecific binding can occur. The separation of protein-antibody complexes from free proteins in solution has previously been reported (27, 28). Using a model system consisting of biotinylated HA peptide and anti-HA tag antibody and employing various bead-based sandwich immunoassays, we were able to quantitatively demonstrate the efficient separation of peptide-antibody immunocomplexes from excess peptides (Fig. 2).
The centrifugation purification step was subsequently tested using a TXP immunoprecipitation assay targeting tryptic plasma peptides containing the C-terminal EGYR sequence. After ultracentrifugation, the sucrose gradient was collected in three fractions (500, 400, and 300 μl), which were then processed using protein G-coated magnetic beads. Analyses of the gradient fractions by MALDI mass spectrometry revealed a dramatic reduction in background signal arising from nontargeted high abundant peptides in the bottom 500-μl fraction (Fig. 3D). In the case of the targeted vitamin K-dependent protein S-derived peptide, this resulted in an increased signal to noise ratio of over 2000 relative to the nonspecifically bound high abundant peptides (Fig. 4A). Moreover, removal of the unwanted peptides led to the detection of the peptide MDCQECPEGYR derived from filamin-A. The enhanced sensitivity afforded by the workflow incorporating the centrifugation step was confirmed by a quantitative comparison using vitamin K-dependent protein S peptide. The signal to noise ratio of the ultracentrifugation assay for this specific peptide increased by factor 25 in average across a concentration ranging from 1.7 to 57 nm (Fig. 4B). In addition, 50% recovery was determined for the protein S peptide using the ultracentrifugation workflow. This fits well to the 70% antibody recovery in the bottom fraction after ultracentrifugation presented in Fig. 2. The estimated level of endogenous vitamin K-dependent protein S (24.2 μg/ml) is in accordance with the values reported elsewhere (39).
We further compared the two procedures using 14 additional TXP antibodies for the analysis of a tryptic plasma digest. The workflow incorporating the ultracentrifugation step yielded 37 peptides versus 29 without (Table III). This can be explained by the improved signal to noise ratios of targeted to nonspecifically bound peptides, which was observed for most of the antibodies (supplemental Fig. 2). This resulted in an improvement of sensitivity and robustness of the assay shown by the increase from 16 to 21 peptide identifications in all three triplicates following ultracentrifugation purification (Table III).
On the whole, target peptides (Table I) from proteins with an abundance in plasma in the lower μg/ml range were identified (Table III). However, filamin-A, which is reported to be present at a concentration of 40 ng/ml (40), was also detected using just 16 μl of plasma. This is within the range of current reports using peptide immunoprecipitation without protein depletion combined with multiple reaction monitoring techniques (41). They report detection limits in the lower ng/ml range or below from plasma volumes of 50 μl or less (19, 20, 42). We were nevertheless surprised that our assay did not prove to be more sensitive following removal of nonspecific peptides. Maximum sensitivity of the assay was therefore tested by applying different amounts of peptide in PBS, 0.3% n-octyl-β-d-glucopyranoside instead of plasma digest. We showed that 600 amol of peptide in 100 μl is sufficient for detection using the established approach (supplemental Fig. 3). This equates to 37.5 pm or 3 ng/ml of a plasma protein with a molecular weight of 75,000 Da. As such, the method is applicable for the detection of medium-abundant proteins. 10 amol of peptide was detected on spot, which is within the range of immuno-MALDI sensitivity (43). The discrepancy in observed sensitivity depending on the assay matrix, however, might be explained by the limitations of the mass spectrometry method employed. Using MALDI-TOF mass spectrometry, a dynamic range of only 2–3 orders of magnitude can be covered with one ionization event as a result of the limited range of the multichannel plate detector and the limited analyte to matrix ratio required for successful ion generation. In the experiments presented here, tryptic peptides derived from proteins covering concentrations that differed by a factor of between 200 and 1000 were detected with one single antibody. This is well in line with the reported dynamic detection range of MALDI mass spectrometry. Because TXP antibodies in this study typically capture at least one peptide present in the higher μg/ml range, assay sensitivities below ng/ml are probably unachievable using MALDI MS. The use of more selective mass spectrometry methods such as MALDI multireaction monitoring may increase the dynamic range of the measurable analytes (44). Additionally, TXP antibodies specifically targeting lower abundant analytes may also increase the overall sensitivity of the assay.
To evaluate our assay and contrast it with those of others working in the field, we compiled lists of tryptic peptides that should have been detected by the incorporated TXP antibodies according to two empirical plasma proteome databases, Peptide Atlas Plasma (build May 2010 containing 16,987 entries (45)) and the database created by the HUPO Plasma Proteome Project (46) (Table IV). Protein abundances range from 40 ng/ml to 40 mg/ml. A total of 45 peptides have been described by other groups and deposited in one or both of the plasma databases. Of these 45 peptides that contained the exact TXP epitope of the respective antibody, we were able to identify 19 peptides with ultracentrifugation purification and 13 without. The integration of information from the two growing empirical databases into the published bioinformatical selection algorithm (47) is currently ongoing and will improve the antibody generation process.
Table IV. Comparison of peptide sequences identified in TXP immunoaffinity enriched fractions versus peptide sequences found in empirical databases representing the subset of tryptic peptides experimentally shown to be detectable by mass spectrometry.
Sequence | Molecular mass, Da | Uniprot reference | Protein Atlas Human Plasma | HUPO Plasma Proteome Project | Plasma concentration, μg/ml | Reference |
---|---|---|---|---|---|---|
VLLDQLR | 855.52 | Q9HDC9: Adipocyte plasma membrane-associated protein | IPI00031131.2 | NK | ||
VLLDGVQNPR | 1109.62 | P01024: Complement C3 | PAp00028461 | IPI00164623.2 | 1.3E+03 | 38 |
VLLDQLGTTISFER | 1590.86 | P04114: Apolipoprotein B-100 | PAp00028462 | IPI00022229.1 | 9.15E+02 | 39 |
VLLDWINDVLVEER | 1711.91 | Q9HBI1: β-Parvin | PAp00139400 | NK | ||
VELEDWNGR | 1116.52 | P02679: Fibrinogen γ chain | PAp00045733 | IPI00021891.3 | 9.15E+02 | 39 |
VELEDFNGNR | 1191.55 | O75636: Ficolin-3 | IPI00293925.1 | 1.5E+01 | 44 | |
VELEDWAGNEAYAEYHFR | 2197.97 | P02671: Fibrinogen α chain | PAp00149457 | 1.25E+03 | 39 | |
GDVAFVK | 734.40 | P02787: Serotransferrin | PAp00161845 | IPI00022463.1 | 4.00E+03 | 45 |
DGAGDVAFVK | 977.48 | P02787: Serotransferrin | PAp00024622 | IPI00022463.1 | 4.00E+03 | 45 |
QPSSAFAAFVK | 1151.60 | P01024: Complement C3 | PAp00027449 |
IPI00032257.1 IPI00164623.2 |
1.3E+03 | 38 |
CLAEGAGDVAFVK | 1335.63 | P08582: Melanotransferrin | PAp00001121 | NK | ||
CLAENAGDVAFVK | 1392.65 | P02788: Lactotransferrin | PAp00064486 | 2.70E-01 | 45 | |
DAVEKPQEFTIVAFVK | 1819.97 | P04114: Apolipoprotein B-100 | PAp00024585 | IPI00022229.1 | 9.15E+02 | 44 |
IYHSHIDAPK | 1179.60 | P00450: Ceruloplasmin | PAp00044520 | IPI00017601.1 | 2.80E+02 | 38 |
FFQYDTWK | 1133.52 | P01344: Insulin-like growth factor II | PAp00137404 | 4.00E-01 | 45 | |
HRPELIDYGK | 1226.64 | P12814: α-Actinin 1 | PAp00040808 | NK | ||
EPCVESLVSQYFQTVTDYGK | 2349.06 | P02652: Apolipoprotein A-II | PAp00024985 | IPI00021854.1 | 2.44E+02 | 38 |
VVCSCTEGYR | 1229.47 | P00740: Coagulation factor IX | PAp00378430 | IPI00296176.1 | 4.50E+00 | 48 |
DDGSWEVIEGYR | 1424.62 | P00367: Glutamate dehydrogenase 1, mitochondrial | PAp00064702 | NK | ||
P49448: Glutamate dehydrogenase 2, mitochondrial | NK | |||||
MDCQECPEGYR | 1443.48 | P21333: Filamin-A | PAp00026827 | 3.50E-02 | 40 | |
NIPGDFECECPEGYR | 1841.69 | P07225: Vitamin K-dependent protein S | IPI00294004.1 | 2.50E+01 | 39 | |
MMHEEHLR | 1081.48 | Q8IY82: Coiled-coil domain-containing protein 135 | IPI00217687.1 | NK | ||
VVNSTTGPGEHLR | 1365.70 | P07996: Thrombospondin-1 | PAp00415875 | 2.00E-01 | 45 | |
SCVGETTESTQCEDEELEHLR | 2508.00 | P10643: Complement component C7 | PAp00027646 | IPI00296608.1 | ||
APTAQVESFR | 1104.56 | P24821: Tenascin | PAp00091921 | 1.00E+00 | 45 | |
APEENTAAIVYVENGESENQESFR | 2682.20 | Q8TEP8: Centrosomal protein of 192 kDa | IPI00181475.1 | NK | ||
TDMELEVLR | 1104.55 | P12955: Xaa-Pro dipeptidase | PAp00094413 | IPI00257882.1 | NK | |
FLEEHPGGEEVLR | 1510.74 | P00167: Cytochrome b5 | PAp00185870 | NK | ||
LLNYNPEDPPGSEVLR | 1811.91 | Q15166: Serum paraoxonase/lactonase 3 | PAp00093392 | IPI00217446.1 | NK | |
IFFYDSENPPASEVLR | 1882.91 | P27169: Serum paraoxonase/arylesterase 1 | PAp00025909 | IPI00218732.1 | 5.93E+01 | 38 |
MEGDSVLLEVDGEEVLR | 1888.91 | P04278: Sex hormone-binding globulin | PAp00044875 | IPI00023019.1 | 6.00E+00 | 44 |
YNPVVIDFEMQPIHEVLR | 2198.12 | P07357: Complement component C8 alpha chain | PAp00039195 | IPI00011252.1 | 4.70E+01 | 39 |
TPSCGDICNFPPK | 1491.61 | P04003: C4b-binding protein α chain | PAp00060583 | IPI00021727.1 | 3.65E+02 | 39 |
EASHVLEVK | 1010.54 | Q9Y5S2: Serine/threonine-protein kinase MRCK β | IPI00005689.2 | NK | ||
IDDIWNLEVK | 1243.64 | P04114: Apolipoprotein B-100 | PAp00025874 | IPI00022229.1 | 9.15E+02 | 44 |
ALEEANADLEVK | 1300.65 | P13646: Keratin, type I cytoskeletal 13 | PAp00039444 | IPI00179358.1 | NK | |
P02533: Keratin, type I cytoskeletal 14 | IPI00218819.1 | NK | ||||
P19012: Keratin, type I cytoskeletal 15 | NK | |||||
P08779: Keratin, type I cytoskeletal 16 | NK | |||||
ALEEANTELEVK | 1344.68 | Q04695: Keratin, type I cytoskeletal 17 | PAp00032389 | IPI00244103.1 | NK | |
VFGAPEVLENLEVK | 1542.83 | Q8TEM1: Nuclear pore membrane glycoprotein 210 | IPI00291755.1 | NK | ||
LSQSGEVGEPAGTDPGLDDLDVALSNLEVK | 3024.48 | Q86UX7: Fermitin family homolog 3 | PAp00074141 | NK | ||
GLPAPIEK | 823.48 | P01859: Ig γ2 chain C region | PAp00062066 | IPI00004608.1 | 2.84E+03 | 39 |
ALPAPIEK | 837.50 | P01857: Ig γ1 chain C region; | PAp00029028 | IPI00004617.1 | 4.30E+03 | 39 |
P01860: Ig γ3 chain C region | IPI00152302.1 | NK | ||||
IPI00168728.1 | ||||||
DAGMQLQGYR | 1137.52 | P00505: Aspartate aminotransferase, mitochondrial | PAp00131640 | NK | ||
TDGCQHFCLPGQESYTCSCAQGYR | 2881.05 | P22891: Vitamin K-dependent protein Z | PAp00445892 | IPI00027843.1 | 3.00E+00 | 44 |
VPQVSTPTLVEVSR | 1510.84 | P02768: serum albumin | PAp00028510 | IPI00022434.1 | 4.10E+04 | 38 |
LFDSDPITVTVPVEVSR | 1872.98 | P10909: Clusterin | PAp00026453 | IPI00291262.1 | 1.0E+02 | 39 |
One limitation of the TXP workflow with combined ultracentrifugation purification is the time needed for the ultracentrifugation step and the limited capacities of ultracentrifuge rotors. A maximum of 12 samples can be applied with our setup at the same time with the rotor used in this study, requiring a total of 24 h from sample preparation to data output. Centrifugation time could be reduced to less than 2 h by employing the latest generation centrifuge and rotors that allow higher g-forces. Because of parallelization, ultracentrifugation would not require much more time per sample than a conventional nano-LC separation and could represent an attractive and potentially more robust alternative to demanding nanochromatography-based separations.
In conclusion, our study demonstrates the feasibility of enriching several peptides from nondepleted tryptic plasma digests using TXP antibodies targeting groups of peptides sharing a common short (4–5 amino acids) motif. We showed that the in-solution purification of TXP antibody-peptide immunocomplexes from excess nontargeted peptides from whole plasma digests is possible using ultracentrifugation. Incorporation of this additional separation step improved the number of identifiable peptides and increased the sensitivity of the assay to within reach of current multireaction monitoring-based immunoassays without the requirement for complex chromatographic separation.
Acknowledgments
We thank Elisabeth Kremmer (Helmholtz Center Munich) for the kind gift of the anti-HA tag antibody.
Footnotes
This article contains supplemental material.
1 The abbreviations used are:
- TXP
- triple X proteomics
- Doa
- 8-amino-3,6-dioxa-octanoic acid
- HA
- hemagglutinin
- PE
- phycoerythrin.
Potential Conflict of Interest
C. W. is the founder of Wellspring Clinical Lab, Inc. (Altamonte Springs, FL). Wellspring develops immunoaffinity-MS assays.
REFERENCES
- 1. Veenstra T. D., Conrads T. P., Hood B. L., Avellino A. M., Ellenbogen R. G., Morrison R. S. (2005) Biomarkers: Mining the Biofluid Proteome. Mol. Cell. Proteomics 4, 409–418 [DOI] [PubMed] [Google Scholar]
- 2. Anderson N. L., Anderson N. G. (2002) The human plasma proteome: History, character, and diagnostic prospects. Mol. Cell. Proteomics 1, 845–867 [DOI] [PubMed] [Google Scholar]
- 3. Jacobs J. M., Adkins J. N., Qian W. J., Liu T., Shen Y., Camp D. G., 2nd, Smith R. D. (2005) Utilizing human blood plasma for proteomic biomarker discovery. J. Proteome Res. 4, 1073–1085 [DOI] [PubMed] [Google Scholar]
- 4. Steel L. F., Trotter M. G., Nakajima P. B., Mattu T. S., Gonye G., Block T. (2003) Efficient and specific removal of albumin from human serum samples. Mol. Cell. Proteomics 2, 262–270 [DOI] [PubMed] [Google Scholar]
- 5. Pieper R., Su Q., Gatlin C. L., Huang S. T., Anderson N. L., Steiner S. (2003) Multi-component immunoaffinity subtraction chromatography: An innovative step towards a comprehensive survey of the human plasma proteome. Proteomics 3, 422–432 [DOI] [PubMed] [Google Scholar]
- 6. Liu T., Qian W. J., Mottaz H. M., Gritsenko M. A., Norbeck A. D., Moore R. J., Purvine S. O., Camp D. G., 2nd, Smith R. D. (2006) Evaluation of multiprotein immunoaffinity subtraction for plasma proteomics and candidate biomarker discovery using mass spectrometry. Mol. Cell. Proteomics 5, 2167–2174 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Qian W. J., Kaleta D. T., Petritis B. O., Jiang H., Liu T., Zhang X., Mottaz H. M., Varnum S. M., Camp D. G., 2nd, Huang L., Fang X., Zhang W. W., Smith R. D. (2008) Enhanced detection of low abundance human plasma proteins using a tandem IgY12-SuperMix immunoaffinity separation strategy. Mol. Cell. Proteomics 7, 1963–1973 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Gong Y., Li X., Yang B., Ying W., Li D., Zhang Y., Dai S., Cai Y., Wang J., He F., Qian X. (2006) Different immunoaffinity fractionation strategies to characterize the human plasma proteome. J. Proteome Res. 5, 1379–1387 [DOI] [PubMed] [Google Scholar]
- 9. Seam N., Gonzales D. A., Kern S. J., Hortin G. L., Hoehn G. T., Suffredini A. F. (2007) Quality control of serum albumin depletion for proteomic analysis. Clin. Chem. 53, 1915–1920 [DOI] [PubMed] [Google Scholar]
- 10. Gundry R. L., White M. Y., Nogee J., Tchernyshyov I., Van Eyk J. E. (2009) Assessment of albumin removal from an immunoaffinity spin column: Critical implications for proteomic examination of the albuminome and albumin-depleted samples. Proteomics 9, 2021–2028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Ichibangase T., Moriya K., Koike K., Imai K. (2009) Limitation of immunoaffinity column for the removal of abundant proteins from plasma in quantitative plasma proteomics. Biomed. Chromatogr. 23, 480–487 [DOI] [PubMed] [Google Scholar]
- 12. Wittmann-Liebold B., Graack H. R., Pohl T. (2006) Two-dimensional gel electrophoresis as tool for proteomics studies in combination with protein identification by mass spectrometry. Proteomics 6, 4688–4703 [DOI] [PubMed] [Google Scholar]
- 13. Washburn M. P., Wolters D., Yates J. R., 3rd (2001) Large-scale analysis of the yeast proteome by multidimensional protein identification technology. Nat. Biotechnol. 19, 242–247 [DOI] [PubMed] [Google Scholar]
- 14. Qian W. J., Jacobs J. M., Liu T., Camp D. G., 2nd, Smith R. D. (2006) Advances and challenges in liquid chromatography-mass spectrometry-based proteomics profiling for clinical applications. Mol. Cell. Proteomics 5, 1727–1744 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Gygi S. P., Rist B., Gerber S. A., Turecek F., Gelb M. H., Aebersold R. (1999) Quantitative analysis of complex protein mixtures using isotope-coded affinity tags. Nat. Biotechnol. 17, 994–999 [DOI] [PubMed] [Google Scholar]
- 16. Zhang H., Li X. J., Martin D. B., Aebersold R. (2003) Identification and quantification of N-linked glycoproteins using hydrazide chemistry, stable isotope labeling and mass spectrometry. Nat. Biotechnol. 21, 660–666 [DOI] [PubMed] [Google Scholar]
- 17. Ackermann B. L., Berna M. J. (2007) Coupling immunoaffinity techniques with MS for quantitative analysis of low-abundance protein biomarkers. Expert Rev. Proteomics 4, 175–186 [DOI] [PubMed] [Google Scholar]
- 18. Anderson N. L., Anderson N. G., Haines L. R., Hardie D. B., Olafson R. W., Pearson T. W. (2004) Mass spectrometric quantitation of peptides and proteins using stable isotope standards and capture by anti-peptide antibodies (SISCAPA). J. Proteome Res. 3, 235–244 [DOI] [PubMed] [Google Scholar]
- 19. Whiteaker J. R., Zhao L., Anderson L., Paulovich A. G. (2010) An automated and multiplexed method for high throughput peptide immunoaffinity enrichment and multiple reaction monitoring mass spectrometry-based quantification of protein biomarkers. Mol. Cell. Proteomics 9, 184–196 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Kuhn E., Addona T., Keshishian H., Burgess M., Mani D. R., Lee R. T., Sabatine M. S., Gerszten R. E., Carr S. A. (2009) Developing multiplexed assays for troponin I and interleukin-33 in plasma by peptide immunoaffinity enrichment and targeted mass spectrometry. Clin. Chem. 55, 1108–1117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Hoofnagle A. N., Becker J. O., Wener M. H., Heinecke J. W. (2008) Quantification of thyroglobulin, a low-abundance serum protein, by immunoaffinity peptide enrichment and tandem mass spectrometry. Clin. Chem. 54, 1796–1804 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Poetz O., Hoeppe S., Templin M. F., Stoll D., Joos T. O. (2009) Proteome wide screening using peptide affinity capture. Proteomics 9, 1518–1523 [DOI] [PubMed] [Google Scholar]
- 23. Wingren C., James P., Borrebaeck C. A. (2009) Strategy for surveying the proteome using affinity proteomics and mass spectrometry. Proteomics 9, 1511–1517 [DOI] [PubMed] [Google Scholar]
- 24. Hoeppe S., Schreiber T. D., Planatscher H., Zell A., Templin M. F., Stoll D., Joos T. O., Poetz O. (2010) Targeting peptide termini: A novel immunoaffinity approach to reduce complexity in mass spectrometric protein identification. Mol. Cell. Proteomics 10.1074/mcp.M110.002857 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Anderson N. L., Jackson A., Smith D., Hardie D., Borchers C., Pearson T. W. (2009) SISCAPA peptide enrichment on magnetic beads using an in-line bead trap device. Mol. Cell. Proteomics 8, 995–1005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Svedberg T. (1934) Molecular weight analysis in centrifugal fields. Science 79, 327–332 [DOI] [PubMed] [Google Scholar]
- 27. Tengerdy R. P., Faust C. H., Jr. (1971) Separation of soluble antigen-antibody complexes by acrylamide gel electrophoresis and ultracentrifugation. Anal. Biochem. 42, 248–254 [DOI] [PubMed] [Google Scholar]
- 28. Rødahl E., Iversen O. J., Dalen A. B. (1984) Preparative isolation of immune complexes from serum by sucrose gradient ultracentrifugation. Scand. J. Immunol. 20, 21–26 [DOI] [PubMed] [Google Scholar]
- 29. Friguet B., Chaffotte A. F., Djavadi-Ohaniance L., Goldberg M. E. (1985) Measurements of the true affinity constant in solution of antigen-antibody complexes by enzyme-linked immunosorbent assay. J. Immunol. Methods 77, 305–319 [DOI] [PubMed] [Google Scholar]
- 30. Friguet B., Chaffotte A. F., Djavadi-Ohaniance L., Goldberg M. E. (1995) Under proper experimental conditions the solid-phase antigen does not disrupt the liquid phase equilibrium when measuring dissociation constants by competition ELISA. J. Immunol. Methods 182, 145–150 [DOI] [PubMed] [Google Scholar]
- 31. Kurzeder C., Koppold B., Sauer G., Pabst S., Kreienberg R., Deissler H. (2007) CD9 promotes adeno-associated virus type 2 infection of mammary carcinoma cells with low cell surface expression of heparan sulphate proteoglycans. Int. J. Mol. Med. 19, 325–333 [PubMed] [Google Scholar]
- 32. Poetz O., Luckert K., Herget T., Joos T. O. (2009) Microsphere-based co-immunoprecipitation in multiplex. Anal. Biochem. 395, 244–248 [DOI] [PubMed] [Google Scholar]
- 33. Jimenez C. R., El Filali Z., Knol J. C., Hoekman K., Kruyt F. A., Giaccone G., Smit A. B., Li K. W. (2007) Automated serum peptide profiling using novel magnetic C18 beads off-line coupled to MALDI-TOF-MS. Proteomics Clin. Appl. 1, 598–604 [DOI] [PubMed] [Google Scholar]
- 34. Haenel C., Satzger M., Ducata D. D., Ostendorp R., Brocks B. (2005) Characterization of high-affinity antibodies by electrochemiluminescence-based equilibrium titration. Anal. Biochem. 339, 182–184 [DOI] [PubMed] [Google Scholar]
- 35. Knochenmuss R., Zenobi R. (2003) MALDI ionization: The role of in-plume processes. Chem. Rev. 103, 441–452 [DOI] [PubMed] [Google Scholar]
- 36. Reid J. D., Holmes D. T., Mason D. R., Shah B., Borchers C. H. (2010) Towards the development of an immuno MALDI (iMALDI) mass spectrometry assay for the diagnosis of hypertension. J. Am. Soc. Mass Spectrom. 21, 1680–1686 [DOI] [PubMed] [Google Scholar]
- 37. Kratzer R., Eckerskorn C., Karas M., Lottspeich F. (1998) Suppression effects in enzymatic peptide ladder sequencing using ultraviolet: Matrix-assisted laser desorption/ionization-mass spectrometry. Electrophoresis 19, 1910–1919 [DOI] [PubMed] [Google Scholar]
- 38. Polanski M., Anderson N. L. (2007) A list of candidate cancer biomarkers for targeted proteomics. Biomark. Insights 1, 1–48 [PMC free article] [PubMed] [Google Scholar]
- 39. Hortin G. L., Sviridov D., Anderson N. L. (2008) High-abundance polypeptides of the human plasma proteome comprising the top 4 logs of polypeptide abundance. Clin. Chem. 54, 1608–1616 [DOI] [PubMed] [Google Scholar]
- 40. Alper O., Stetler-Stevenson W. G., Harris L. N., Leitner W. W., Ozdemirli M., Hartmann D., Raffeld M., Abu-Asab M., Byers S., Zhuang Z., Oldfield E. H., Tong Y., Bergmann-Leitner E., Criss W. E., Nagasaki K., Mok S. C., Cramer D. W., Karaveli F. S., Goldbach-Mansky R., Leo P., Stromberg K., Weil R. J. (2009) Novel anti-filamin-A antibody detects a secreted variant of filamin-A in plasma from patients with breast carcinoma and high-grade astrocytoma. Cancer Sci. 100, 1748–1756 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Whiteaker J. R., Zhao L., Abbatiello S. E., Burgess M., Kuhn E., Lin C., Pope M. E., Razavi M., Anderson N. L., Pearson T. W., Carr S. A., Paulovich A. G. (2011) Evaluation of large scale quantitative proteomic assay development using peptide affinity-based mass spectrometry. Mol. Cell. Proteomics 10.1074/mcp.M110.005645 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Stahl-Zeng J., Lange V., Ossola R., Eckhardt K., Krek W., Aebersold R., Domon B. (2007) High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites. Mol. Cell. Proteomics 6, 1809–1817 [DOI] [PubMed] [Google Scholar]
- 43. Jiang J., Parker C. E., Hoadley K. A., Perou C. M., Boysen G., Borchers C. H. (2007) Development of an immuno tandem mass spectrometry (iMALDI) assay for EGFR diagnosis. Proteomics Clin. Appl. 1, 1651–1659 [DOI] [PubMed] [Google Scholar]
- 44. Kovarik P., Grivet C., Bourgogne E., Hopfgartner G. (2007) Method development aspects for the quantitation of pharmaceutical compounds in human plasma with a matrix-assisted laser desorption/ionization source in the multiple reaction monitoring mode. Rapid Commun. Mass Spectrom. 21, 911–919 [DOI] [PubMed] [Google Scholar]
- 45. Deutsch E. W., Lam H., Aebersold R. (2008) PeptideAtlas: A resource for target selection for emerging targeted proteomics workflows. EMBO Rep. 9, 429–434 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Omenn G. S., States D. J., Adamski M., Blackwell T. W., Menon R., Hermjakob H., Apweiler R., Haab B. B., Simpson R. J., Eddes J. S., Kapp E. A., Moritz R. L., Chan D. W., Rai A. J., Admon A., Aebersold R., Eng J., Hancock W. S., Hefta S. A., Meyer H., Paik Y. K., Yoo J. S., Ping P., Pounds J., Adkins J., Qian X., Wang R., Wasinger V., Wu C. Y., Zhao X., Zeng R., Archakov A., Tsugita A., Beer I., Pandey A., Pisano M., Andrews P., Tammen H., Speicher D. W., Hanash S. M. (2005) Overview of the HUPO Plasma Proteome Project: Results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database. Proteomics 5, 3226–3245 [DOI] [PubMed] [Google Scholar]
- 47. Planatscher H., Supper J., Poetz O., Stoll D., Joos T., Templin M. F., Zell A. (2010) Optimal selection of epitopes for TXP-immunoaffinity mass spectrometry. Algorithms Mol. Biol. 5, 28–28 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Schenk S., Schoenhals G. J., de Souza G., Mann M. (2008) A high confidence, manually validated human blood plasma protein reference set. BMC Med. Genomics 1, 41–41 [DOI] [PMC free article] [PubMed] [Google Scholar]