Phosphoproteomics: new insights into cellular signaling
© BioMed Central Ltd 2005
Published: 17 August 2005
Developments in the field of phosphoproteomics have been fueled by the need simultaneously to monitor many different phosphoproteins within the signaling networks that coordinate responses to changes in the cellular environment. This article presents a brief review of phosphoproteomics with an emphasis on the biological insights that have been derived so far.
Although many biochemical mechanisms are involved in cellular signaling, reversible phosphorylation of serine, threonine, and tyrosine residues is the one most commonly used in mammalian cells. Protein kinases are one of the largest gene families in humans and mice, accounting for 1.7% of the human genome [1, 2], and up to 30% of all proteins may be phosphorylated . Traditional biochemical and genetic analyses of phosphoproteins, and of the kinases and phosphatases that modify them, have provided a wealth of information about signaling pathways. These approaches, which typically focus on one protein at a time, are, however, not readily amenable to understanding the complexity of protein phosphorylation or how individual phosphoproteins function in the context of signaling networks. The availability of genome databases and advancements in analytical technology, especially mass spectrometry, has made it possible to study many phosphoproteins and phosphorylation sites at once. The term 'phosphoproteomics' describes a sub-discipline of proteomics that is focused on deriving a comprehensive view of the extent and dynamics of protein phosphorylation. While phosphoproteomics will greatly expand knowledge about the numbers and types of phosphoproteins, its greatest promise is the rapid analysis of entire phosphorylation-based signaling networks.
Methods for the enrichment of phosphoproteins and phosphopeptides for analysis by mass spectrometry
Phosphorylated amino acids are derivatized by β-elimination or carbodiimide to introduce tags; β-elimination strategy is limited to P-Ser and P-Thr, and also occurs with O-glycosylated residues.
Fluorous affinity tagging
Perfluoroalkyl groups are selectively coupled to P-Ser and P-Thr using β-elimination; modified peptides are enriched with fluorous-functionalized stationary phase. This method is highly selective for derivatized peptides.
Chemical modification of P-Ser and P-Thr introduces lysine analogs and cleavage by lysine-specific proteases. This method allows direct identification of phosphorylation site without sequencing the phosphopeptide.
Thiophosphorylation and affinity tagging
Proteins are phosphorylated with ATP3S; thiophosphates are alkylated to form linkages with biotin or solid supports. This method requires in vitro phosphorylation and most kinases utilize ATP3S poorly.
Bio-orthogonal affinity purification
Analog-specific kinases are used selectively to phosphorylate substrates in vitro or in vivo; the phosphate analogs are then derivatized to generate a hapten for immunoprecipitation. This method requires expression and/or isolation of an engineered kinase.
Anti-P-Tyr antibodies have proven very useful for the enrichment of P-Tyr-containing proteins; they have been used alone or in combination with IMAC. They have been used to enrich P-Tyr peptides.
Anti-phosphoserine and anti-phosphothreonine antibodies
Anti-P-Ser and anti-P-Thr antibodies have been used, but currently are less useful than anti-P-Tyr antibodies.
Immobilized metal affinity chromatography (IMAC)
Introduction of an esterification step greatly enhances the selectivity of this method, which is very useful, has been widely used and can be automated.
Strong cation exchange chromatography has been used for the large-scale identification of phosphorylation sites. This method selects for peptides phosphorylated on a single residue.
Phosphoproteomics is a rapidly moving field. For example, advances in mass spectrometry, including the use of Fourier transform ion cyclotron resonance instruments, have recently been applied so as to improve the sensitivity and accuracy of phosphoproteomic experiments . It is likely that additional technological improvements will occur over the next few years. A recent, and very important, advance has been the incorporation of quantitative mass spectrometry methods into phosphoproteomics. For example, information about the dynamics of protein phosphorylation is often more informative than efforts directed solely at expanding the 'parts list' of signaling proteins. Identification of proteins or phosphorylation sites that change in response to receptor activation validates them as important components in signaling through that receptor.
Quantitative methods for mass spectrometry-based phosphoproteomics rely on the use of heavy isotopes and fall into three general categories: in vitro labeling of phosphoamino acids, in vitro labeling of proteins and peptides, and in vivo metabolic labeling. The basic principle of all three involves labeling peptides from one sample (control cells, for example) with a heavy isotope. This sample is then mixed with an unlabeled sample (from stimulated cells, for example) and the two are analyzed simultaneously. The ability of mass spectrometers to resolve the normal and isotopically labeled versions of the same peptide allows direct comparison of the amount of peptide in each sample. If the labeled peptide is a phosphopeptide, this method can be used to determine changes in the level of phosphorylation.
Quantitative mass spectrometry methods for analyzing phosphopeptides and phosphoproteins
Phosphoprotein isotope-coded affinity tag
Phosphoprotein isotope-coded solid phase tag
β-elimination/Michael addition with DTT
Isotope coded affinity tag
Isotope tagged amine-reactive reagents
Stable isotope labeling with amino acids in cell culture
In vitro methods for labeling peptides at sites other than phosphoamino acids include isotope-coded affinity tagging (ICAT), which labels cysteines with biotin derivatives that allow affinity enrichment of the labeled peptides . Although limited to the analysis of phosphopeptides that also contain a cysteine residue, ICAT has been used to study phosphorylation of the epidermal growth factor (EGF) receptor . The iTRAQ method (commercially available from Applied Biosystems, Foster City, USA) involves isotopic labeling of amine groups, allowing uniform labeling of all peptides in a sample. The iTRAQ method has been coupled with phosphotyrosine peptide enrichment and immobilized metal affinity chromatography (IMAC) to study the dynamics of phosphotyrosine-mediated EGF receptor signaling .
Expanding the signaling parts list
Much of the current literature on phosphoproteomics is devoted to methods development. Technological advancements have expanded the capabilities of phosphoproteomics, but its ultimate impact depends on the biological meaning that can be generated from phosphoproteomic data. Even though its potential is just now being realized, a number of phosphoproteomic studies have already provided important new insights into cellular signaling.
A major application of phosphoproteomics has been the discovery of phosphoproteins not previously known to be involved in cellular signaling and the discovery of new phosphorylation sites in known signaling proteins. As enzymatic catalysis by protein kinases is the only known physiological mechanism for phosphorylation of serine, threonine, and tyrosine residues, and as most kinases are induced in cell signaling, any phosphorylated protein is potentially involved in signal transduction. Thus, there have been a number of large-scale screens for phosphoproteins and phosphorylation sites. Studies involving the enrichment of phosphopeptides followed by the identification of phosphorylation sites by tandem mass spectrometry have been carried out with yeast , human sperm , human T cells , murine B-lymphoma cells , human Jurkat cells, murine 3T3 cells, and human cancer cell lines . This type of study provides four kinds of new information: a list of known phosphoproteins that are expressed in a particular cell type; the identification of novel phosphorylation sites in previously known phosphoproteins; details of the phosphorylation of known proteins that have not previously been shown to be phosphorylated; and the identification of the phosphorylation of completely novel proteins.
Large-scale phosphoprotein and phosphopeptide screens like those described above [29–33] have been very effective in identifying large numbers of phosphoproteins and phosphorylation sites. The utility of this information is, however, often limited by a lack of biological context, especially for phosphoproteins with no known function. A targeted approach to examining phosphoproteins in specific subcellular organelles helps to overcome this limitation. Examples include phosphoproteomic analysis of HeLa cell nuclear proteins , murine synaptosomes , murine postsynaptic densities (that area of a postsynaptic membrane where neurotransmitter receptors and ion channels are clustered) , and Arabidopsis plasma membranes . The underlying assumption in these targeted experiments is that the phosphorylation identified play a role in signaling pathways that regulate the function of that organelle. So far, this assumption seems to hold quite well, as many of the phosphorylation sites that were identified were in proteins known to be associated with those organelles. Other approaches have targeted cells in defined states, including the identification of phosphorylation sites in proteins from capacitated human sperm  and phosphotyrosine proteins from activated T cells or chronic myelogenous leukemia cells treated with Gleevec, an inhibitor of the BCR-Abl protein kinase .
Useful websites for phosphoproteomics
Searchable by protein name to look for known phosphorylation sites
Protein annotations include sites of phosphorylation and other post-translational modifications
Searchable by protein name, kinase substrates, or SH2-binding sites
Scans for kinase motifs derived from peptide library phosphorylation data
Produces neural network predictions of specific kinase phosphorylation sites
Scans for kinase consensus motifs derived from the literature. A limited number of kinase motifs are included
The advent of phosphoproteomic methods for the large-scale identification of phosphorylation sites has generated a critical need for easy and effective ways to disseminate information derived from phosphoproteomic studies to the signal transduction research community. Datasets obtained in large-scale screens are likely to include information about phosphorylation sites in proteins that are the main focus of individual laboratories. Without easy ways to search the large datasets, it is difficult for such laboratories to take advantage of the information. Fortunately, there are several ongoing efforts to incorporate phosphorylation-site information derived from large-scale phosphoproteomics experiments into searchable databases. These efforts include the Phosphosite database , the Swiss-Prot database [42, 43], and the Phospho.ELM database  (see Table 3).
Quantitative phosphoproteomics: powerful methods for analyzing the dynamics of signaling networks
The combination of quantitative mass spectrometry and phosphoproteomics has generated powerful technologies for studying cellular signaling. The phosphoproteomic screening approaches described here have provided new insights into the complexity of protein phosphorylation. The relevance of individual phosphorylation sites detected in these studies to particular signaling pathways is, however, often unknown. The ability to monitor changes in phosphorylation that occur in response to the perturbation of a signaling pathway allows identification of phosphoproteins relevant to that pathway. Phosphospecific antibodies are very sensitive and useful probes for analyzing changes in phosphorylation of specific sites. They do, however, require prior knowledge of the phosphorylation site and it is challenging to monitor large numbers of phosphorylation sites simultaneously. Quantitative phosphoproteomics has a sensitivity that approaches that of phosphospecific antibodies but can be used to identify novel phosphoproteins and to monitor hundreds or thousands of individual phosphorylation sites in a single experiment.
Quantitative proteomics methods have been used in a targeted way to monitor phosphorylation of individual proteins. A combination of SILAC and IMAC was used to analyze agonist-induced phosphorylation of the β2-adrenergic receptor . The simultaneous monitoring of multiple sites allowed identification of the relevant in vivo phosphorylation sites and the discovery that different agonists (for example, isoproterenol and dopamine) induce differential phosphorylation of individual sites. SILAC was also used to monitor in vivo the kinetics of EGF-induced phosphorylation of six phosphotyrosine residues in the EGF receptor . The results showed that the kinetics of phosphorylation of the tyrosine residues correlated with the preferential association of the receptor with individual binding partners, such as growth factor receptor bound protein 2 (Grb2) and Src homology 2 domain-containing transforming protein (Shc).
A second major application of quantitative phosphoproteomics has been in studying the dynamics of phosphorylation and the assembly of signaling complexes. A combination of SILAC and anti-phosphotyrosine immunoprecipitation was used to examine phosphotyrosine-dependent signaling networks induced by EGF stimulation of HeLa cells . Of the 202 proteins detected, which were either phosphotyrosine proteins or proteins that co-precipitated with phosphotyrosine proteins, the levels of 81 were elevated by 1.5-fold or more following EGF stimulation. In addition to monitoring the activation of tyrosine phosphorylation, these experiments detected and quantitated proteins that associate with phosphotyrosine proteins through Src homology 2 (SH2) domains and other binding motifs. For example, temporal changes in the phosphorylation of the EGF receptor correlated with the co-precipitation of proteins known to interact with it, such as Grb2 and Shc. While nearly all of the proteins known to be associated with EGF receptor signaling were identified in these experiments, many additional proteins that were not previously known to be associated with this pathway were also identified. For example, the time-dependent recruitment of a set of RNA-binding proteins suggested a novel role for EGF receptor signaling in mRNA processing and transport. Six novel EGF-dependent proteins with no known function were also identified in these experiments. Quantitative mass spectrometry was used to compare the time courses of their association with the anti-phosphotyrosine complex with the time course of EGF receptor activation; this comparison allowed the assignment of functions for these proteins in early, membrane-proximal events or in later events such as cytoskeletal reorganization or endosomal trafficking. This report  provides the first example of the potential of quantitative phosphoproteomics to provide unprecedented amounts of information about cellular signaling from a single set of experiments.
A second example of the application of quantitative phosphoproteomics to the analysis of the dynamics of signaling complexes involves the ERK/p90rsk protein kinase signaling cassette . This study utilized immunoprecipitation of epitope-tagged versions of extracellular signal-regulated protein kinase (ERK), p90 ribosomal S6 kinase (p90rsk), and their targets, the tumor suppressors TSC1 and TSC2, to profile phosphorylation of multiple sites on these proteins simultaneously following either EGF stimulation or treatment with the protein kinase C (PKC) activator phorbol myristate acetate (PMA). New results from this study include the discovery of a novel phosphorylation site in p90rsk and eight novel phosphorylation sites in TSC1 and TSC2. Selective kinase inhibitors were used to show that phosphorylation of one of the novel sites in TSC2 was dependent on the activation of PKC but independent of ERK. The results demonstrated the existence of a previously uncharacterized PKC-dependent pathway for the regulation of TSC2.
Quantitative phosphoproteomic methods have also been used for a large-scale analysis of yeast phosphoproteins altered in response to activation of the mating pheromone-response pathway. SILAC labeling was coupled with phosphopeptide enrichment to identify 729 phosphorylation sites in 503 proteins . Of these, 139 sites were altered following pheromone treatment. Large numbers of phosphopeptides were derived from proteins known to be involved in the pheromone signaling pathway, including the pheromone receptor, components of the MAP kinase pathway, transcription factors, proteins involved in cell polarization, and proteins that participate in the assembly of mating projections. The identification of a set of pheromone-regulated phosphorylations on RNA-processing and -transport proteins suggested that the pheromone pathway has a previously unknown role in regulating mRNA metabolism. Overall, this study provided an unprecedented comprehensive dataset that quantifies pheromone-dependent changes in the phosphorylation of large numbers of individual phosphorylation sites. This included the identification of many proteins not previously known to be phosphorylated, as well as the identification of novel phosphorylation sites present in previously characterized phosphoproteins. The methods used are applicable to the study of cellular signaling in a wide variety of cell types and signaling paradigms. The large number of individual phosphorylation events that can be quantitatively interrogated using this approach will provide a powerful method for analyzing signaling networks at the systems biology level.
In conclusion, mass-spectrometry-based phosphoproteomics has already made significant contributions to our understanding of cellular signaling. The incorporation of technological advances in mass spectrometry and the application of novel protein and peptide enrichment techniques will increase the sensitivity and accuracy of detecting phosphoproteins and identifying phosphorylation sites. Continued application of quantitative methods will enhance the usefulness of data derived from phosphoproteomic experiments. Owing to the importance of reversible phosphorylation as a signal transduction mechanism, phosphoproteomics is likely to play an increasingly valuable role in the study of cellular signaling. This will be especially true as research in cellular signaling begins to grapple with understanding context-dependent signaling in living cells. Large-scale phosphoproteomic methods have the potential to monitor information flow through large portions of signaling networks that ultimately control the overall response of a cell to changes in its environment.
- Manning G, Plowman GD, Hunter T, Sudarsanam S: Evolution of protein kinase signaling from yeast to man. Trends Biochem Sci. 2002, 27: 514-520. 10.1016/S0968-0004(02)02179-5.PubMedView ArticleGoogle Scholar
- Caenepeel S, Charydczak G, Sudarsanam S, Hunter T, Manning G: The mouse kinome: discovery and comparative genomics of all mouse protein kinases. Proc Natl Acad Sci USA. 2004, 101: 11707-11712. 10.1073/pnas.0306880101.PubMedPubMed CentralView ArticleGoogle Scholar
- Hubbard MJ, Cohen P: On target with a new mechanism for the regulation of protein phosphorylation. Trends Biochem Sci. 1993, 18: 172-177. 10.1016/0968-0004(93)90109-Z.PubMedView ArticleGoogle Scholar
- Grubb RL, Calvert VS, Wulkuhle JD, Paweletz CP, Linehan WM, Phillips JL, Chuaqui R, Valasco A, Gillespie J, Emmert-Buck M, et al: Signal pathway profiling of prostate cancer using reverse phase protein arrays. Proteomics. 2003, 3: 2142-2146. 10.1002/pmic.200300598.PubMedView ArticleGoogle Scholar
- Gembitsky DS, Lawlor K, Jacovina A, Yaneva M, Tempst P: A prototype antibody microarray platform to monitor changes in protein tyrosine phosphorylation. Mol Cell Proteomics. 2004, 3: 1102-1118. 10.1074/mcp.M400075-MCP200.PubMedView ArticleGoogle Scholar
- Sachs K, Perez O, Pe'er D, Lauffenburger DA, Nolan GP: Causal protein-signaling networks derived from multiparameter single-cell data. Science. 2005, 308: 523-529. 10.1126/science.1105809.PubMedView ArticleGoogle Scholar
- Mann M, Ong SE, Gronborg M, Steen H, Jensen ON, Pandey A: Analysis of protein phosphorylation using mass spectrometry: deciphering the phosphoproteome. Trends Biotechnol. 2002, 20: 261-268. 10.1016/S0167-7799(02)01944-3.PubMedView ArticleGoogle Scholar
- Garcia BA, Shabanowitz J, Hunt DF: Analysis of protein phosphorylation by mass spectrometry. Methods. 2005, 35: 256-264. 10.1016/j.ymeth.2004.08.017.PubMedView ArticleGoogle Scholar
- Loyet KM, Stults JT, Arnott D: Mass spectrometric contributions to the practice of phosphorylation site mapping through 2003: a literature review. Mol Cell Proteomics. 2005, 4: 235-245. 10.1074/mcp.R400011-MCP200.PubMedView ArticleGoogle Scholar
- Conrads TP, Issaq HJ, Veenstra TD: New tools for quantitative phosphoproteome analysis. Biochem Biophys Res Commun. 2002, 290: 885-890. 10.1006/bbrc.2001.6275.PubMedView ArticleGoogle Scholar
- Kalume DE, Molina H, Pandey A: Tackling the phosphoproteome: tools and strategies. Curr Opin Chem Biol. 2003, 7: 64-69. 10.1016/S1367-5931(02)00009-1.PubMedView ArticleGoogle Scholar
- Chen WG, White FM: Proteomic analysis of cellular signaling. Expert Rev Proteomics. 2004, 1: 343-354. 10.1586/14789418.104.22.1683.PubMedView ArticleGoogle Scholar
- Peters EC, Brock A, Ficarro SB: Exploring the phosphoproteome with mass spectrometry. Mini Rev Med Chem. 2004, 4: 313-324. 10.2174/1389557043487330.PubMedView ArticleGoogle Scholar
- Gruhler A, Olsen JV, Mohammed S, Mortensen P, Faergeman NJ, Mann M, Jensen ON: Quantitative phosphoproteomics applied to the yeast pheromone signaling pathway. Mol Cell Proteomics. 2005, 4: 310-327. 10.1074/mcp.M400219-MCP200.PubMedView ArticleGoogle Scholar
- Goshe MB, Conrads TP, Panisko EA, Angell NH, Veenstra TD, Smith RD: Phosphoprotein isotope-coded affinity tag approach for isolating and quantitating phosphopeptides in proteome-wide analyses. Anal Chem. 2001, 73: 2578-2586. 10.1021/ac010081x.PubMedView ArticleGoogle Scholar
- Qian WJ, Goshe MB, Camp DG, Yu LR, Tang K, Smith RD: Phosphoprotein isotope-coded solid-phase tag approach for enrichment and quantitative analysis of phosphopeptides from complex mixtures. Anal Chem. 2003, 75: 5441-5450. 10.1021/ac0342774.PubMedView ArticleGoogle Scholar
- Amoresano A, Marino G, Cirulli C, Quemeneur E: Mapping phosphorylation sites: a new strategy based on the use of isotopically labelled DTT and mass spectrometry. Eur J Mass Spectrom (Chichester, Eng). 2004, 10: 401-412. 10.1255/ejms.599.View ArticleGoogle Scholar
- Vosseller K, Hansen KC, Chalkley RJ, Trinidad JC, Wells L, Hart GW, Burlingame AL: Quantitative analysis of both protein expression and serine/threonine post-translational modifications through stable isotope labeling with dithiothreitol. Proteomics. 2005, 5: 388-398. 10.1002/pmic.200401066.PubMedView ArticleGoogle Scholar
- Gygi SP, Rist B, Gerber SA, Turecek F, Gelb MH, Aebersold R: Quantitative analysis of complex protein mixtures using isotope-coded affinity tags. Nat Biotechnol. 1999, 17: 994-999. 10.1038/13690.PubMedView ArticleGoogle Scholar
- Thelemann A, Petti F, Griffin G, Iwata K, Hunt T, Settinari T, Fenyo D, Gibson N, Haley JD: Phosphotyrosine signaling networks in epidermal growth factor receptor overexpressing squamous carcinoma cells. Mol Cell Proteomics. 2005, 4: 356-376. 10.1074/mcp.M400118-MCP200.PubMedView ArticleGoogle Scholar
- Zhang Y, Wolf-Yadlin A, Ross PL, Pappin DJ, Rush J, Lauffenburger DA, White FM: Time-resolved mass spectrometry of tyrosine phosphorylation sites in the EGF receptor signaling network reveals dynamic modules. Mol Cell Proteomics.
- Amanchy R, Kalume DE, Pandey A: Stable isotope labeling with amino acids in cell culture (SILAC) for studying dynamics of protein abundance and posttranslational modifications. Sci STKE. 2005, 267: l2-Google Scholar
- Blagoev B, Kratchmarova I, Ong SE, Nielsen M, Foster LJ, Mann M: A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling. Nat Biotechnol. 2003, 21: 315-318. 10.1038/nbt790.PubMedView ArticleGoogle Scholar
- Blagoev B, Ong SE, Kratchmarova I, Mann M: Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics. Nat Biotechnol. 2004, 22: 1139-1145. 10.1038/nbt1005.PubMedView ArticleGoogle Scholar
- Hinsby AM, Olsen JV, Mann M: Tyrosine phosphoproteomics of fibroblast growth factor signaling - a role for insulin receptor substrate-4. J Biol Chem. 2004, 9: 46438-46447. 10.1074/jbc.M404537200.View ArticleGoogle Scholar
- Ibarrola N, Molina H, Iwahori A, Pandey A: A novel proteomic approach for specific identification of tyrosine kinase substrates using [13C]tyrosine. J Biol Chem. 2004, 279: 15805-15813. 10.1074/jbc.M311714200.PubMedView ArticleGoogle Scholar
- Trester-Zedlitz M, Burlingame A, Kobilka B, von Zastrow M: Mass spectrometric analysis of agonist effects on posttranslational modifications of the beta-2 adrenoceptor in mammalian cells. Biochemistry. 2005, 44: 6133-6143. 10.1021/bi0475469.PubMedView ArticleGoogle Scholar
- Ballif BA, Roux PP, Gerber SA, Mackeigan JP, Blenis J, Gygi SP: Quantitative phosphorylation profiling of the ERK/p90 ribosomal S6 kinase-signaling cassette and its targets, the tuberous sclerosis tumor suppressors. Proc Natl Acad Sci USA. 2005, 102: 667-672. 10.1073/pnas.0409143102.PubMedPubMed CentralView ArticleGoogle Scholar
- Ficarro SB, McCleland ML, Stukenberg PT, Burke DJ, Ross MM, Shabanowitz J, Hunt DF, White FM: Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae. Nat Biotechnol. 2002, 20: 301-305. 10.1038/nbt0302-301.PubMedView ArticleGoogle Scholar
- Ficarro S, Chertihin O, Westbrook VA, White F, Jayes F, Kalab P, Marto JA, Shabanowitz J, Herr JC, Hunt DF, Visconti PE: Phosphoproteome analysis of capacitated human sperm. Evidence of tyrosine phosphorylation of a kinase-anchoring protein 3 and valosin-containing protein/p97 during capacitation. J Biol Chem. 2003, 278: 11579-11589. 10.1074/jbc.M202325200.PubMedView ArticleGoogle Scholar
- Brill LM, Salomon AR, Ficarro SB, Mukherji M, Stettler-Gill M, Peters EC: Robust phosphoproteomic profiling of tyrosine phosphorylation sites from human T cells using immobilized metal affinity chromatography and tandem mass spectrometry. Anal Chem. 2004, 76: 2763-2772. 10.1021/ac035352d.PubMedView ArticleGoogle Scholar
- Shu H, Chen S, Bi Q, Mumby M, Brekken DL: Identification of phosphoproteins and their phosphorylation sites in the WEHI-231 B lymphoma cell line. Mol Cell Proteomics. 2004, 3: 279-286. 10.1074/mcp.D300003-MCP200.PubMedView ArticleGoogle Scholar
- Rush J, Moritz A, Lee KA, Guo A, Goss VL, Spek EJ, Zhang H, Zha XM, Polakiewicz RD, Comb MJ: Immunoaffinity profiling of tyrosine phosphorylation in cancer cells. Nat Biotechnol. 2005, 23: 94-101. 10.1038/nbt1046.PubMedView ArticleGoogle Scholar
- Beausoleil SA, Jedrychowski M, Schwartz D, Elias JE, Villen J, Li J, Cohn MA, Cantley LC, Gygi SP: Large-scale characterization of HeLa cell nuclear phosphoproteins. Proc Natl Acad Sci USA. 2004, 101: 12130-12135. 10.1073/pnas.0404720101.PubMedPubMed CentralView ArticleGoogle Scholar
- Collins MO, Yu L, Coba MP, Husi H, Campuzano I, Blackstock WP, Choudhary JS, Grant SG: Proteomic analysis of in vivo phosphorylated synaptic proteins. J Biol Chem. 2005, 280: 5972-5982. 10.1074/jbc.M411220200.PubMedView ArticleGoogle Scholar
- Trinidad JC, Thalhammer A, Specht CG, Schoepfer R, Burlingame AL: Phosphorylation state of postsynaptic density proteins. J Neurochem. 2005, 92: 1306-1316. 10.1111/j.1471-4159.2004.02943.x.PubMedView ArticleGoogle Scholar
- Nuhse TS, Stensballe A, Jensen ON, Peck SC: Phosphoproteomics of the Arabidopsis plasma membrane and a new phosphorylation site database. Plant Cell. 2004, 16: 2394-2405. 10.1105/tpc.104.023150.PubMedPubMed CentralView ArticleGoogle Scholar
- Salomon AR, Ficarro SB, Brill LM, Brinker A, Phung QT, Ericson C, Sauer K, Brock A, Horn DM, Schultz PG, Peters EC: Profiling of tyrosine phosphorylation pathways in human cells using mass spectrometry. Proc Natl Acad Sci USA. 2003, 100: 443-448. 10.1073/pnas.2436191100.PubMedPubMed CentralView ArticleGoogle Scholar
- Obenauer JC, Cantley LC, Yaffe MB: Scansite 2.0: Proteome-wide prediction of cell signaling interactions using short sequence motifs. Nucleic Acids Res. 2003, 31: 3635-3641. 10.1093/nar/gkg584.PubMedPubMed CentralView ArticleGoogle Scholar
- Blom N, Gammeltoft S, Brunak S: Sequence and structure-based prediction of eukaryotic protein phosphorylation sites. J Mol Biol. 1999, 294: 1351-1362. 10.1006/jmbi.1999.3310.PubMedView ArticleGoogle Scholar
- PhosphoSite. [http://www.phosphosite.org]
- Farriol-Mathis N, Garavelli JS, Boeckmann B, Duvaud S, Gasteiger E, Gateau A, Veuthey AL, Bairoch A: Annotation of post-translational modifications in the Swiss-Prot knowledge base. Proteomics. 2004, 4: 1537-1550. 10.1002/pmic.200300764.PubMedView ArticleGoogle Scholar
- Swiss-Prot. [http://us.expasy.org/sprot]
- Phospho.ELM. [http://phospho.elm.eu.org]
- Schulze WX, Lei D, Mann M: Phosphotyrosine interactome of the ErbB-receptor kinase family. Mol Systems Biol. 2005, 1: msb4100012-E1-msb4100012-E13.View ArticleGoogle Scholar
- Oda Y, Nagasu T, Chait BT: Enrichment analysis of phosphorylated proteins as a tool for probing the phosphoproteome. Nat Biotechnol. 2001, 19: 379-382. 10.1038/86783.PubMedView ArticleGoogle Scholar
- Zhou H, Watts JD, Aebersold R: A systematic approach to the analysis of protein phosphorylation. Nat Biotechnol. 2001, 19: 375-378. 10.1038/86777.PubMedView ArticleGoogle Scholar
- Brittain SM, Ficarro SB, Brock A, Peters EC: Enrichment and analysis of peptide subsets using fluorous affinity tags and mass spectrometry. Nat Biotechnol. 2005, 23: 463-468. 10.1038/nbt1076.PubMedView ArticleGoogle Scholar
- Knight ZA, Schilling B, Row RH, Kenski DM, Gibson BW, Shokat KM: Phosphospecific proteolysis for mapping sites of protein phosphorylation. Nat Biotechnol. 2003, 21: 1047-1054. 10.1038/nbt863.PubMedView ArticleGoogle Scholar
- Kwon SW, Kim SC, Jaunbergs J, Falck JR, Zhao Y: Selective enrichment of thiophosphorylated polypeptides as a tool for the analysis of protein phosphorylation. Mol Cell Proteomics. 2003, 2: 242-247.PubMedGoogle Scholar
- Allen JJ, Lazerwith SE, Shokat KM: Bio-orthogonal affinity purification of direct kinase substrates. J Am Chem Soc. 2005, 127: 5288-5289. 10.1021/ja050727t.PubMedPubMed CentralView ArticleGoogle Scholar
- Yeung YG, Wang Y, Einstein DB, Lee PS, Stanley ER: Colony-stimulating factor-1 stimulates the formation of multimeric cytosolic complexes of signaling proteins and cytoskeletal components in macrophages. J Biol Chem. 1998, 273: 17128-17137. 10.1074/jbc.273.27.17128.PubMedView ArticleGoogle Scholar
- Pandey A, Podtelejnikov AV, Blagoev B, Bustelo XR, Mann M, Lodish HF: Analysis of receptor signaling pathways by mass spectrometry: identification of vav-2 as a substrate of the epidermal and platelet-derived growth factor receptors. Proc Natl Acad Sci USA. 2000, 97: 179-184. 10.1073/pnas.97.1.179.PubMedPubMed CentralView ArticleGoogle Scholar
- Gronborg M, Kristiansen TZ, Stensballe A, Andersen JS, Ohara O, Mann M, Jensen ON, Pandey A: A mass spectrometry-based proteomic approach for identification of serine/threonine-phosphorylated proteins by enrichment with phospho-specific antibodies: identification of a novel protein, Frigg, as a protein kinase A substrate. Mol Cell Proteomics. 2002, 1: 517-527. 10.1074/mcp.M200010-MCP200.PubMedView ArticleGoogle Scholar
- Kane S, Sano H, Liu SC, Asara JM, Lane WS, Garner CC, Lienhard GE: A method to identify serine kinase substrates. Akt phosphorylates a novel adipocyte protein with a Rab GTPase-activating protein (GAP) domain. J Biol Chem. 2002, 277: 22115-22118. 10.1074/jbc.C200198200.PubMedView ArticleGoogle Scholar
- Zhang H, Zha X, Tan Y, Hornbeck PV, Mastrangelo AJ, Alessi DR, Polakiewicz RD, Comb MJ: Phosphoprotein analysis using antibodies broadly reactive against phosphorylated motifs. J Biol Chem. 2002, 277: 39379-39387. 10.1074/jbc.M206399200.PubMedView ArticleGoogle Scholar
- Andersson L, Porath J: Isolation of phosphoproteins by immobilized metal (Fe3+) affinity chromatography. Anal Biochem. 1986, 154: 250-254. 10.1016/0003-2697(86)90523-3.PubMedView ArticleGoogle Scholar
- Ficarro SB, Salomon AR, Brill LM, Mason DE, Stettler-Gill M, Brock A, Peters EC: Automated immobilized metal affinity chromatography/nano-liquid chromatography/electrospray ionization mass spectrometry platform for profiling protein phosphorylation sites. Rapid Commun Mass Spectrom. 2005, 19: 57-71. 10.1002/rcm.1746.PubMedView ArticleGoogle Scholar
- Scansite. [http://scansite.mit.edu]
- NetPhosK. [http://www.cbs.dtu.dk/services/NetPhosK]
- ProSite. [http://us.expasy.org/prosite]