Reference-facilitated phosphoproteomics: fast and reliable phosphopeptide validation by microLC-ESI-Q-TOF MS/MS

Recent advances in instrument control and enrichment procedures have enabled us to quantify large numbers of phosphoproteins and record site-specific phosphorylation events. An intriguing problem that has arisen with these advances is to accurately validate where phosphorylation events occur, if possible, in an automated manner. The problem is difficult because MS/MS spectra of phosphopeptides are generally more complicated than those of unmodified peptides. For large scale studies, the problem is even more evident because phosphorylation sites are based on single peptide identifications in contrast to protein identifications where at least two peptides from the same protein are required for identification. To address this problem we have developed an integrated strategy that increases the reliability and ease for phosphopeptide validation. We have developed an off-line titanium dioxide (TiO(2)) selective phosphopeptide enrichment procedure for crude cell lysates. Following enrichment, half of the phosphopeptide fractionated sample is enzymatically dephosphorylated, after which both samples are subjected to LC-MS/MS. From the resulting MS/MS analyses, the dephosphorylated peptide is used as a reference spectrum against the original phosphopeptide spectrum, in effect generating two peptide spectra for the same amino acid sequence, thereby enhancing the probability of a correct identification. The integrated procedure is summarized as follows: 1) enrichment for phosphopeptides by TiO(2) chromatography, 2) dephosphorylation of half the sample, 3) LC-MS/MS-based analysis of phosphopeptides and corresponding dephosphorylated peptides, 4) comparison of peptide elution profiles before and after dephosphorylation to confirm phosphorylation, and 5) comparison of MS/MS spectra before and after dephosphorylation to validate the phosphopeptide and its phosphorylation site. This phosphopeptide identification represents a major improvement as compared with identifications based only on single MS/MS spectra and probability-based database searches. We investigated an applicability of this method to crude cell lysates and demonstrate its application on the large scale analysis of phosphorylation sites in differentiating mouse myoblast cells.     

Specific on-plate enrichment of phosphorylated peptides for direct MALDI-TOF MS analysis

An on-plate specific enrichment method is presented for the direct analysis of peptides phosphorylation. An array of sintered TiO 2 nanoparticle spots was prepared on a stainless steel plate to provide porous substrate with a very large specific surface and durable functions. These spots were used to selectively capture phosphorylated peptides from peptide mixtures, and the immobilized phosphopeptides could then be analyzed directly by MALDI MS after washing away the nonphosphorylated peptides. beta-Casein and protein mixtures were employed as model samples to investigate the selection efficiency. In this strategy, the steps of phosphopeptide capture, purification, and subsequent mass spectrometry analysis are all successfully accomplished on a single target plate, which greatly reduces sample loss and simplifies analytical procedures. The low detection limit, small sample size, and rapid selective entrapment show that this on-plate strategy is promising for online enrichment of phosphopeptides, which is essential for the analysis of minute amount of samples in high-throughput proteome research.     

Comparison of ERLIC-TiO2, HILIC-TiO2, and SCX-TiO2 for global phosphoproteomics approaches

Reversible phosphorylations play a critical role in most biological pathways. Hence, in signaling studies great effort has been put into identification of a maximum number of phosphosites per experiment. Mass spectrometry (MS)-based phosphoproteomics approaches have been proven to be an ideal analytical method for mapping of phosphosites. However, because of sample complexity, fractionation of phosphopeptides prior to MS analysis is a crucial step. In the current study, we compare the chromatographic strategies electrostatic repulsion-hydrophilic interaction chromatography (ERLIC), hydrophilic interaction liquid chromatography (HILIC), and strong cation exchange chromatography (SCX) for their fractionation behavior of phosphopeptides. In addition, we investigate the use of repetitive TiO(2)-based enrichment steps for a maximum identification of phosphopeptides. On the basis of our results, SCX yields the highest number of identified phosphopeptides, whereas ERLIC is optimal for the identification of multiphosphorylated peptides. Consecutive incubations of fractions and flow-through by TiO(2) beads enrich qualitatively different sets of phosphopeptides, increasing the number of identified phosphopeptides per analysis.     

Zirconium phosphonate-modified porous silicon for highly specific capture of phosphopeptides and MALDI-TOF MS analysis

Phosphorylation is one of the most important post-translational modifications of proteins, which modulates a wide range of biological functions and activity of proteins. The analysis of phosphopeptides is still one of the most challenging tasks in proteomics research by mass spectrometry. In this study, a novel phosphopeptide enrichment approach based on the strong interaction of zirconium phosphonate (ZrP) modified surface with phosphopeptides has been developed. ZrP modified porous silicon (ZrP-pSi) wafer was prepared to specifically capture the phosphopeptides from complex peptide mixtures, and then the captured phosphopeptides were analyzed by MALDI-TOF MS by directly placing the wafer on a MALDI target. The phosphopeptide enrichment and MALDI analysis were both performed on the ZrP-pSi wafer which significantly reduced the sample loss and simplified the analytical procedures. The prepared ZrP-pSi wafer has been successfully applied for the enrichment of phosphopeptides from the tryptic digest of standard phosphoproteins beta-casein and alpha-casein. The excellent selectivity of this approach was demonstrated by analyzing phosphopeptides in the digest mixture of beta-casein and bovine serum albumin with molar ratio of 1:100. High detection sensitivity has been achieved for the analysis of the phosphopeptides from tryptic digestion of 2 fmol beta-casein on the ZrP-pSi surface.     

Global profiling of phosphopeptides by titania affinity enrichment

Protein phosphorylation is a ubiquitous post-translational modification critical to many cellular processes. Large-scale unbiased characterization of phosphorylation status remains a major technical challenge in proteomics. In the present work, we evaluate and optimize titania-based affinity enrichment for global profiling of phosphopeptides from complex biological mixtures. We demonstrate that inclusion of glutamic acid in the sample loading buffer substantially reduced nonspecific binding of nonphosphorylated peptides to the titania while retaining the high binding affinity for phosphopeptides. The reduction in nonspecific peptide binding enhanced overall phosphopeptide recovery, ranging from 22 to 85%, and led to substantial improvement in large-scale global profiling. In addition, we observed that the overall identification of phosphopeptides was significantly enhanced by neutral loss-triggered MS (3) scans and respective use of multiple charge- and mass-dependent filtering criteria for MS (2) and MS (3) spectra. In conjunction with strong-cation exchange chromatography (SCX) for prefractionation, a total of 4002 distinct phosphopeptides were identified from SKBr3 breast cancer cells at false-positive rates of 3.7% and 5.5%, respectively, for singly and doubly phosphorylated peptides.     

Automatic validation of phosphopeptide identifications by the MS2/MS3 target-decoy search strategy

Manual checking is commonly employed to validate the phosphopeptide identifications from database searching of tandem mass spectra. It is very time-consuming and labor intensive as the number of phosphopeptide identifications increases greatly. In this study, a simple automatic validation approach was developed for phosphopeptide identification by combining consecutive stage mass spectrometry data and the target-decoy database searching strategy. Only phosphopeptides identified from both MS2 and its corresponding MS3 were accepted for further filtering, which greatly improved the reliability in phosphopeptide identification. Before database searching, the spectra were validated for charge state and neutral loss peak intensity, and then the invalid MS2/MS3 spectra were removed, which greatly reduced the database searching time. It was found that the sensitivity was significantly improved in MS2/MS3 strategy as the number of identified phosphopeptides was 2.5 times that obtained by the conventional filter-based MS2 approach. Because of the use of the target-decoy database, the false-discovery rate (FDR) of the identified phosphopeptides could be easily determined, and it was demonstrated that the determined FDR can precisely reflect the actual FDR without any manual validation stage.     

SP19A Phosphoprotein profiling by negative mode precursor ion scanning

An important goal in cancer research is to monitor phosphoprotein changes in order to identify downstream targets of dysregulated signaling pathways. We used a precursor ion scanning approach described by Carr et al,¹ which identifies phosphopeptides in negative ion mode by their loss of a −79-Da signature ion (PO_3⁻). We first compared three methods for phosphopeptide detection in the protein kinase, Mps1. Using a 4000 QTrap mass spectrometer, standard analysis by LC/MS/MS in positive mode identified 27 phosphopeptides containing 22 phosphosites. Precursor ion scanning in negative mode using the same instrument identified 47 phosphopeptides containing 34 phosphosites, with detection sensitivity ~10 fmol. Using a LTQ-Orbitrap mass spectrometer, MS³ on peptide ions that underwent neutral loss of H₃PO₄ during MS/MS identified 30 phosphopeptides and 28 phosphosites. Thus, precursor ion scanning showed the highest performance in identifying phosphopeptides in simple mixtures.Next, we examined human melanoma cells treated with and without U0126, a drug that inhibits the constitutively activated B-Raf/MAPK pathway. Cytosolic proteins were resolved by SAX-FPLC, and proteins in each fraction were proteolyzed. Peptides in each fraction were separated by nanoflow RP-HPLC and phosphopeptides monitored by precursor ion scanning, triggering MS/MS upon detection of the −79-Da signature ion. In parallel, peptides were analyzed by positive mode LC/MS/MS in order to monitor protein abundance changes by spectral counting. In-house algorithms utilizing OpenMS modules were developed to detect phosphopeptide peaks, match them to MS/MS spectra, group peaks over consecutive fractions, and quantify and sum intensities. More than 20,000 peaks could be detected over all SAX fractions, representing ~5000 grouped phosphopeptide candidates. About 350 phosphopeptides were manually validated, of which ~10% were responsive to drug treatment. Thus, targets of dysregulated B-Raf/MAPK signaling in melanoma can be identified using precursor ion scanning and detection of phosphopeptides in complex samples.     

Mitochondrial phosphoproteome revealed by an improved IMAC method and MS/MS/MS

IMAC in combination with mass spectrometry is a promising approach for global analysis of protein phosphorylation. Nevertheless this approach suffers from two shortcomings: inadequate efficiency of IMAC and poor fragmentation of phosphopeptides in the mass spectrometer. Here we report optimization of the IMAC procedure using (32)P-labeled tryptic peptides and development of MS/MS/MS (MS3) for identifying phosphopeptide sequences and phosphorylation sites. The improved IMAC method allowed recovery of phosphorylated tryptic peptides up to approximately 77% with only minor retention of unphosphorylated peptides. MS3 led to efficient fragmentation of the peptide backbone in phosphopeptides for sequence assignment. Proteomics of mitochondrial phosphoproteins using the resulting IMAC protocol and MS3 revealed 84 phosphorylation sites in 62 proteins, most of which have not been reported before. These results revealed diverse phosphorylation pathways involved in the regulation of mitochondrial functions. Integration of the optimized batchwise IMAC protocol with MS3 offers a relatively simple and more efficient approach for proteomics of protein phosphorylation.     

Phosphopeptide enrichment by aliphatic hydroxy acid-modified metal oxide chromatography for nano-LC-MS/MS in proteomics applications

We developed novel methods for phosphopeptide enrichment using aliphatic hydroxy acid-modified metal oxide chromatography (MOC). Titania and zirconia were successfully applied to enrich phosphopeptides with the aid of aliphatic hydroxy acids, such as lactic acid and beta-hydroxypropanoic acid, to reduce the interaction between acidic non-phosphopeptides and the metal oxides. These methods removed the vast majority of non-phosphopeptides from phosphoprotein standard digests, and large numbers of phosphopeptides could be readily identified. The methods were coupled with nano-LC-MS/MS systems without difficulty. Recovery of phosphopeptides in MOC varied greatly from peptide to peptide, ranging from a few percent to 100%, and the average was almost 50%. Repeatability and linearity were satisfactory. In an examination of the cytoplasmic fraction of HeLa cells, more than 1000 phosphopeptides were identified using lactic acid-modified titania MOC and beta-hydroxypropanoic acid-modified zirconia MOC, respectively. The overlap between phosphopeptides enriched by these two methods was 40%, and the combined results provided 1646 unique phosphopeptides. To our knowledge, this is the first successful application of a single MOC-based approach to phosphopeptide enrichment from complex biological samples such as cell lysates.     

Phosphopeptide detection using automated online IMAC-capillary LC-ESI-MS/MS

IMAC has become a commonly used technique in phosphoprotein analysis because of its affinity for phosphopeptides. However, the commonly used strategy combining offline IMAC enrichment with desalting procedures prior to MS/MS makes this method laborious. Here we report the development of a robust and automatic IMAC-capillary RP HPLC-ESI MS/MS technology platform, by which all procedures needed in phosphopeptide analysis including IMAC enrichment, RP HPLC separation and nanospray MS/MS can be done automatically controlled by the MassLynx program. The platform was optimized by analyzing standard phosphopeptide, and was then applied to the identification of phosphorylation sites of recombinant human telomeric repeat binding factor 1 treated with kinase in vitro, and two phosphorylation sites are defined.     

PhoPepMass: A database and search tool assisting human phosphorylation peptide identification from mass spectrometry data

Protein phosphorylation, one of the most important protein post-translational modifications, is involved in various biological processes, and the identification of phosphorylation peptides (phosphopeptides) and their corresponding phosphorylation sites (phosphosites) will facilitate the understanding of the molecular mechanism and function of phosphorylation. Mass spectrometry (MS) provides a high-throughput technology that enables the identification of large numbers of phosphosites. PhoPepMass is designed to assist human phosphopeptide identification from MS data based on a specific database of phophopeptide masses and a multivariate hypergeometric matching algorithm. It contains 244,915 phosphosites from several public sources. Moreover, the accurate masses of peptides and fragments with phosphosites were calculated. It is the first database that provides a systematic resource for the query of phosphosites on peptides and their corresponding masses. This allows researchers to search certain proteins of which phosphosites have been reported, to browse detailed phosphopeptide and fragment information, to match masses from MS analyses with defined threshold to the corresponding phosphopeptide, and to compare proprietary phosphopeptide discovery results with results from previous studies. Additionally, a database search software is created and a “two-stage search strategy” is suggested to identify phosphopeptides from tandem mass spectra of proteomics data. We expect PhoPepMass to be a useful tool and a source of reference for proteomics researchers. PhoPepMass is available at https://www.scbit.org/phopepmass/index.html.     

Integrating titania enrichment,iTRAQ labeling,and Orbitrap CID‐HCD for global identification and quantitative analysis of phosphopeptides

Recent advances in MS instrumentation and progresses in phosphopeptide enrichment, in conjunction with more powerful data analysis tools, have facilitated unbiased characterization of thousands of site‐specific phosphorylation events. Combined with stable isotope labeling by amino acids in cell culture metabolic labeling, these techniques have made it possible to quantitatively evaluate phosphorylation changes in various physiological states in stable cell lines. However, quantitative phosphoproteomics in primary cells and tissues remains a major technical challenge due to the lack of adequate techniques for accurate quantification. Here, we describe an integrated strategy allowing for large scale quantitative profiling of phosphopeptides in complex biological mixtures. In this technique, the mixture of proteolytic peptides was subjected to phosphopeptide enrichment using a titania affinity column, and the purified phosphopeptides were subsequently labeled with iTRAQ reagents. After further fractionation by strong‐cation exchange, the peptides were analyzed by LC‐MS/MS on an Orbitrap mass spectrometer, which collects CID and high‐energy collisional dissociation (HCD) spectra sequentially for peptide identification and quantitation. We demonstrate that direct phosphopeptide enrichment of protein digests by titania affinity chromatography substantially improves the efficiency and reproducibility of phosphopeptide proteomic analysis and is compatible with downstream iTRAQ labeling. Conditions were optimized for HCD normalized collision energy to balance the overall peptide identification and quantitation using the relative abundances of iTRAQ reporter ions. Using this approach, we were able to identify 3557 distinct phosphopeptides from HeLa cell lysates, of which 2709 were also quantified from HCD scans.     

IMAC/TiO(2) enrich for peptide modifications other than phosphorylation: implications for chromatographic choice and database searching in phosphoproteomics

Protein regulation by reversible phosphorylation is fundamental in nature, and large-scale phosphoproteomic analyses are becoming routine in proteomics laboratories. These analyses utilise phosphopeptide separation and enrichment techniques linked to LC-MS/MS. Herein, we report that IMAC and TiO(2) also enrich for non-phosphorylated modified peptides such as acetylated, deamidated and carbamylated peptides. Urea and digestion conditions commonly used in phosphoproteomic workflows are the likely sources of the induced modifications (deamidation and carbamylation) and can easily modify phosphopeptides. Including these variable modifications in database searches increased the total number of identified phosphopeptides by 15%. We also show that strong cation exchange fractionation provides poor resolution of phosphopeptides and actually enriches these alternatively modified peptides. By switching to reverse-phase chromatography, we show a significant improvement in the number of identified phosphopeptides. We recommend that the users of phosphopeptide enrichment strategies avoid using urea as a denaturant and that careful consideration is given to chromatographic conditions and the types of variable modifications used in database searches. Thus, the capacity of IMAC and TiO(2) to enrich phosphopeptides bearing modifications other than phosphorylation is a previously unappreciated property of these chromatographies with practical implications for the field of phosphoproteomics.     

Development of an off-line capillary column IMAC phosphopeptide enrichment method for label-free phosphorylation relative quantification

Immobilized metal affinity chromatography (IMAC) and metal oxide type affinity chromatography (MOAC) techniques have been widely used for mass spectrometry-based phosphorylation analysis. Unlike MOAC techniques, IMAC requires rather complete removals of buffering reagents, salts and high concentrations of denaturant prior to sample loading in order for the successful enrichment of phosphopeptides. In this study, a simple off-line capillary column-based IMAC phosphopeptide enrichment method can shorten sample preparation time by eliminating the speed-vac step from the desalting process. Tryptic digest peptide samples containing 2M urea can be directly processed and the entire IMAC procedure can be completed within 6 h. When tryptic digest peptide samples prepared from mouse whole brain tissues were analyzed using our method, an average of 249 phosphoproteins and 463 unique phosphopeptides were identified from single 2-h RPLC-MS/MS analysis (~88% specificity). An additional advantage of this method is the significantly improved reproducibility of the phosphopeptide enrichment results. When four independent phosphopeptide enrichment experiments were carried out, the peak areas of phosphopeptides identified among four enrichment experiments were relatively similar (less than 16.2% relative standard dev.). Because of this increased reproducibility, relative phosphorylation quantification analysis of major phosphoproteins appears to be feasible without the need for stable isotope labeling techniques.     

Automated,Reproducible, Titania-Based Phosphopeptide Enrichment Strategy for Label-Free Quantitative Phosphoproteomics

An automated phosphopeptide enrichment strategy is described using titanium dioxide (TiO₂)-packed, fused silica capillaries for use with liquid chromatography (LC)-mass spectrometry (MS)/MS-based, label-free proteomics workflows. To correlate an optimum peptide:TiO₂ loading ratio between different particle types, the ratio of phenyl phosphate-binding capacities was used. The optimum loading for the column was then verified through replicate enrichments of a range of quantities of digested rat brain tissue cell lysate. Fractions were taken during sample loading, multiple wash steps, and the elution steps and analyzed by LC-MS/MS to gauge the efficiency and reproducibility of the enrichment. Greater than 96% of the total phosphopeptides were detected in the elution fractions, indicating efficient trapping of the phosphopeptides on the first pass of enrichment. The quantitative reproducibility of the automated setup was also improved greatly with phosphopeptide intensities from replicate enrichments exhibiting a median coefficient of variation (CV) of 5.8%, and 80% of the identified phosphopeptides had CVs below 11.1%, while maintaining >85% specificity. By providing this high degree of analytical reproducibility, this method allows for label-free phosphoproteomics over large sample sets with complex experimental designs (multiple biological conditions, multiple biological replicates, multiple time-points, etc.), including large-scale clinical cohorts.     

PhosphoScan: a probability-based method for phosphorylation site prediction using MS2/MS3 pair information

Phosphopeptide identification and phosphorylation site localization are crucial aspects of many biological studies. Furthermore, multiple phosphorylations of peptides make site localization even more difficult. We developed a probability-based method to unambiguously determine phosphorylation sites within phosphopeptides using MS2/3 pair information. A comparison test was performed with SEQUEST and MASCOT predictions using a spectral data set from a synthetic doubly phosphorylated peptide, and the results showed that PhosphoScan analysis yielded a 63% phosphopeptide localization improvement compared with SEQUEST and a 57% improvement compared with MASCOT.     

Phosphorylation-specific MS/MS scoring for rapid and accurate phosphoproteome analysis

The promise of mass spectrometry as a tool for probing signal-transduction is predicated on reliable identification of post-translational modifications. Phosphorylations are key mediators of cellular signaling, yet are hard to detect, partly because of unusual fragmentation patterns of phosphopeptides. In addition to being accurate, MS/MS identification software must be robust and efficient to deal with increasingly large spectral data sets. Here, we present a new scoring function for the Inspect software for phosphorylated peptide tandem mass spectra for ion-trap instruments, without the need for manual validation. The scoring function was modeled by learning fragmentation patterns from 7677 validated phosphopeptide spectra. We compare our algorithm against SEQUEST and X!Tandem on testing and training data sets. At a 1% false positive rate, Inspect identified the greatest total number of phosphorylated spectra, 13% more than SEQUEST and 39% more than X!Tandem. Spectra identified by Inspect tended to score better in several spectral quality measures. Furthermore, Inspect runs much faster than either SEQUEST or X!Tandem, making desktop phosphoproteomics feasible. Finally, we used our new models to reanalyze a corpus of 423,000 LTQ spectra acquired for a phosphoproteome analysis of Saccharomyces cerevisiae DNA damage and repair pathways and discovered 43% more phosphopeptides than the previous study.     

Highly selective and rapid enrichment of phosphorylated peptides using gallium oxide-coated magnetic microspheres for MALDI-TOF-MS and nano-LC-ESI-MS/MS/MS analysis

In this work, we present, to our knowledge, the first demonstration of the utility of iron oxide magnetic microspheres coated with gallium oxide for the highly selective enrichment of phosphopeptide prior to mass spectrometric analysis. These microspheres that we prepared not only have a shell of gallium oxide, giving them a high-trapping capacity for the phosphopeptides, but also their magnetic property enables easy isolation by positioning an external magnetic field. Tryptic digest products of phosphoproteins including beta-casein, ovalbumin, casein, as well as five protein mixtures were used as the samples to exemplify the feasibility of this approach. In very short time (only 0.5 min), phosphopeptides sufficient for characterization by MALDI-TOF-MS were selectively enriched by the Ga(2)O(3)-coated Fe(3)O(4) microspheres. The performance of the Ga(2)O(3)-coated Fe(3)O(4) microspheres were further compared with Fe(3+)-immobilized magnetic silica microspheres, commercial Fe(3+)-IMAC resin, and TiO2 beads for enrichment of peptides originating from tryptic digestion of beta-casein and BSA with a molar ratio of 1:50, and the results proved a stronger selective ability of Ga(2)O(3)-coated Fe(3)O(4) microspheres over the other materials. Finally, the Ga(2)O(3)-coated Fe(3)O(4) microspheres were successfully utilized for enrichment of phosphopeptides from digestion products of rat liver extract. All results show that Ga(2)O(3)-coated Fe(3)O(4) microsphere is an effective material for selective isolation and concentration of phosphopeptides.     

A new acid mix enhances phosphopeptide enrichment on titanium- and zirconium dioxide for mapping of phosphorylation sites on protein complexes

The selective enrichment of phosphorylated peptides prior to reversed-phase separation and mass spectrometric detection significantly improves the analytical results in terms of higher number of detected phosphorylation sites and spectra of higher quality. Metal oxide chromatography (MOC) has been recently described for selective phosphopeptide enrichment (Pinkse et al., 2004 [1]; Larsen et al., 2005 [2]; Kweon and Hakansson, 2006 [3]; Cantin et al., 2007 [4]; Collins et al., 2007 [5]). In the present work we have tested the effect of a modified loading solvent containing a novel acid mix and optimized wash conditions on the efficiency of TiO₂-based phosphopeptide enrichment in order to improve our previously published method (Mazanek et al., 2007 [6]). Applied to a test mixture of synthetic and BSA-derived peptides, the new method showed improved selectivity for phosphopeptides, whilst retaining a high recovery rate. Application of the new enrichment method to digested purified protein complexes resulted in the identification of a significantly higher number of phosphopeptides as compared to the previous method. Additionally, we have compared the performance of TiO₂ and ZrO₂ columns for the isolation and identification of phosphopeptides from purified protein complexes and found that for our test set, both media performed comparably well. In summary, our improved method is highly effective for the enrichment of phosphopeptides from purified protein complexes prior to mass spectrometry, and is suitable for large-scale phosphoproteomic projects that aim to elucidate phosphorylation-dependent cellular processes.     

Highly Efficient Phosphopeptide Enrichment by Calcium Phosphate Precipitation Combined with Subsequent IMAC Enrichment

A new method for enrichment of phosphopeptides in complex mixtures derived by proteolytic digestion of biological samples has been developed. The method is based on calcium phosphate precipitation of the phosphopeptides prior to further enrichment with established affinity enrichment methods. Calcium phosphate precipitation combined with phosphopeptide enrichment using Fe(III) IMAC provided highly selective enrichment of phosphopeptides. Application of the method to a complex peptide sample derived from rice embryo resulted in more than 90% phosphopeptides in the enriched sample as determined by mass spectrometry. Introduction of a two-step IMAC enrichment procedure after calcium phosphate precipitation resulted in observation of an increased number of phosphopeptides.