Identification Of Phosphosites Research Articles

Assessing Multiple Evidence Streams to Decide on Confidence for Identification of Post-Translational Modifications, within and Across Data Sets.

Phosphorylation is a post-translational modification of great interest to researchers due to its relevance in many biological processes. LC-MS/MS techniques have enabled high-throughput data acquisition, with studies claiming identification and localization of thousands of phosphosites. The identification and localization of phosphosites emerge from different analytical pipelines and scoring algorithms, with uncertainty embedded throughout the pipeline. For many pipelines and algorithms, arbitrary thresholding is used, but little is known about the actual global false localization rate in these studies. Recently, it has been suggested to use decoy amino acids to estimate global false localization rates of phosphosites, among the peptide-spectrum matches reported. Here, we describe a simple pipeline aiming to maximize the information extracted from these studies by objectively collapsing from peptide-spectrum match to the peptidoform-site level, as well as combining findings from multiple studies while maintaining track of false localization rates. We show that the approach is more effective than current processes that use a simpler mechanism for handling phosphosite identification redundancy within and across studies. In our case study using eight rice phosphoproteomics data sets, 6368 unique sites were confidently identified using our decoy approach compared to 4687 using traditional thresholding in which false localization rates are unknown.

SILAC-Based Quantitative Phosphoproteomics in Yeast.

In this chapter, detailed procedures for stable isotope labeling with amino acids in cell culture, SILAC labeling of yeast auxotroph, optimization and evaluation of phosphopeptide enrichment, and sample preparation and analysis by high-resolution LC-MS/M, identification of phosphosites, and quantification methods are described.We report methods for the application of double SILAC to yeast using a combination of labeled lysine and labeled arginine.The combination of SILAC-based quantitation with phosphopeptides enrichment by TiO2 in a batch that enables measurement of protein posttranslational modifications is a powerful application to analyze the global phosphoproteome for studies in signaling pathways.

Structural analysis of mammalian protein phosphorylation at a proteome level

Phosphorylation is an essential post-translational modification for almost all cellular processes. Several global phosphoproteomics analyses have revealed phosphorylation profiles under different conditions. Beyond identification of phospho-sites, protein structures add another layer of information about their functionality. In this study, we systematically characterize phospho-sites based on their 3D locations in the protein and establish a location map for phospho-sites. More than 250,000 phospho-sites have been analyzed, of which 8,686 sites match at least one structure and are stratified based on their respective 3D positions. Core phospho-sites possess two distinct groups based on their dynamicity. Dynamic core phosphorylations are significantly more functional compared with static ones. The dynamic core and the interface phospho-sites are the most functional among all 3D phosphorylation groups. Our analysis provides global characterization and stratification of phospho-sites from a structural perspective that can be utilized for predicting functional relevance and filtering out false positives in phosphoproteomic studies.

Multi-in-One: Multiple-Proteases, One-Hour-Shot Strategy for Fast and High-Coverage Phosphoproteomic Investigation.

Although a multiple-protease based shotgun proteomics method was shown to improve coverage for phosphosite identification, this traditional pipeline is time-consuming and can be of low reproducibility. Here, we demonstrated a multi-in-one strategy to saturate the phosphosite coverage by combining the multiple-proteases based digestion, one-step enrichment, and one-shot data-independent acquisition (DIA) as short as 1 h. In the "three-in-one" workflow, more than 19,700 and 13,500 phosphosites could be identified in the trypsin-like and nontrypsin-like mixture, respectively. By combining and applying our "three-in-one" strategy, nearly 30,000 phosphosites could be successfully quantified with high reproducibility across samples. Meanwhile, we developed a faster and more robust method, in which over a single 66 min chromatographic method by "six-in-one" strategy, 19,445 phosphosites could be successfully localized, drastically reducing the database search time required in the traditional method. Inspiringly, this strategy further enabled us to discover 2,675 phosphorylation events on the low abundant transcription factors (TFs) in living cells with high coverage. More broadly, the multi-in-one strategy makes the multiple-protease digestion in large-scale analysis applicable, with low time-consuming, high sensitivity, improved coverage, and high reproducibility.

Unambiguous Phosphosite Localization through the Combination of Trypsin and LysargiNase Mirror Spectra in a Large-Scale Phosphoproteome Study.

Understanding of the kinase-guided signaling pathways requires the identification and analysis of phosphosites. Mass spectrometry (MS)-based phosphoproteomics is a rapid and highly sensitive approach for high-throughput identification of phosphosites. However, phosphosite determination from MS data with a single protease is more likely to be ambiguous, regardless of the strategy used for phosphopeptide detection. Here, we explored the application of LysargiNase, which was recently reported to mirror trypsin in specificity to cleave arginine and lysine residues exclusively at the N-terminal side. We found that the combination of trypsin and LysargiNase mirror spectra resulted in higher ion coverage in MS2 spectra. The median ion coverage values of b ions in tryptic spectra, LysargiNase spectra, and combined spectra are 8.3, 20.5, and 25.0%, respectively. As for the median ion coverage of y ions, these values are 27.8, 10.0, and 32.3%. Higher ion coverage was helpful to pinpoint the precise phosphosites. Compared to trypsin alone, the combined use of trypsin and LysargiNase mirror spectra enabled 67.1% of mirror spectra with unreliable scores (confidence score <0.75) to become reliable (confidence score ≥ 0.75). Meanwhile, all of the mirror peptide-spectrum matches (PSMs) with multiple potential phosphosites from trypsin and LysargiNase digests could be assigned one precise phosphosite after applying the combination strategy. Besides, the combination strategy could identify more novel phosphosites than the union strategy did. We synthesized three phosphopeptides corresponding to the three novel phosphosites and validated the reliability of the identification. Taken together, our data demonstrated the distinctive potential of the combination strategy presented here for unambiguous phosphosite localization (Project accession PXD011178).

DeepKinZero: zero-shot learning for predicting kinase-phosphosite associations involving understudied kinases.

Protein phosphorylation is a key regulator of protein function in signal transduction pathways. Kinases are the enzymes that catalyze the phosphorylation of other proteins in a target-specific manner. The dysregulation of phosphorylation is associated with many diseases including cancer. Although the advances in phosphoproteomics enable the identification of phosphosites at the proteome level, most of the phosphoproteome is still in the dark: more than 95% of the reported human phosphosites have no known kinases. Determining which kinase is responsible for phosphorylating a site remains an experimental challenge. Existing computational methods require several examples of known targets of a kinase to make accurate kinase-specific predictions, yet for a large body of kinases, only a few or no target sites are reported. We present DeepKinZero, the first zero-shot learning approach to predict the kinase acting on a phosphosite for kinases with no known phosphosite information. DeepKinZero transfers knowledge from kinases with many known target phosphosites to those kinases with no known sites through a zero-shot learning model. The kinase-specific positional amino acid preferences are learned using a bidirectional recurrent neural network. We show that DeepKinZero achieves significant improvement in accuracy for kinases with no known phosphosites in comparison to the baseline model and other methods available. By expanding our knowledge on understudied kinases, DeepKinZero can help to chart the phosphoproteome atlas. The source codes are available at https://github.com/Tastanlab/DeepKinZero. Supplementary data are available at Bioinformatics online.

High-Throughput Characterization of Histidine Phosphorylation Sites Using UPAX and Tandem Mass Spectrometry.

Liquid chromatography (LC)-tandem mass spectrometry (MS/MS) is key for the characterization of phosphorylation sites in a high-throughput manner, and its application has proven essential to elucidate the phosphoproteome of many biological systems. Following proteolytic digestion of proteins extracted from tissues or cells, phosphopeptides are typically enriched by affinity chromatography using TiO2 or metal-ions (e.g., Fe3+) coupled to solid-phase materials, prior to LC-MS/MS analysis. Separation of relatively low abundance phosphopeptides from nonphosphorylated peptides in these types of extremely complex mixtures is essential to maximize coverage of the phosphoproteome. Maintaining acidic conditions during these IMAC or TiO2-based enrichment minimizes the concurrent unwanted binding of highly acidic peptides. However, while peptides containing phosphomonoesters, namely, phosphoserine (pSer), phosphothreonine (pThr), and phosphotyrosine (pTyr), are stable under these acidic binding conditions, phosphopeptides containing acid-labile phosphate group such as phosphohistidine (pHis), are not. Consequently, hydrolysis of these types of phosphopeptides occurs during standard phosphopeptide enrichment, and subsequent phosphosite identification by LC-MS/MS is severely compromised. Here we describe UPAX, unbiased phosphopeptide enrichment using strong anion exchange, for the separation of both acid-stable (pSer, pThr, pTyr) and acid-labile phosphopeptides (including those containing pHis) from nonphosphorylated peptides. We outline how implementation of UPAX prior to a minimally modified standard proteomics workflow can be used to identify sites of pHis as well as other acid-labile, as well as acid-stable phosphosites.

Channelrhodopsin-1 Phosphorylation Changes with Phototactic Behavior and Responds to Physiological Stimuli in Chlamydomonas.

The unicellular alga Chlamydomonas (Chlamydomonas reinhardtii) exhibits oriented movement responses (phototaxis) to light over more than three log units of intensity. Phototaxis thus depends on the cell's ability to adjust the sensitivity of its photoreceptors to ambient light conditions. In Chlamydomonas, the photoreceptors for phototaxis are the channelrhodopsins (ChR)1 and ChR2; these light-gated cation channels are located in the plasma membrane. Although ChRs are widely used in optogenetic studies, little is known about ChR signaling in algae. We characterized the in vivo phosphorylation of ChR1. Its reversible phosphorylation occurred within seconds as a graded response to changes in the light intensity and ionic composition of the medium and depended on an elevated cytosolic Ca2+ concentration. Changes in the phototactic sign were accompanied by alterations in the phosphorylation status of ChR1. Furthermore, compared with the wild type, a permanently negative phototactic mutant required higher light intensities to evoke ChR1 phosphorylation. C-terminal truncation of ChR1 disturbed its reversible phosphorylation, whereas it was normal in ChR2-knockout and eyespot-assembly mutants. The identification of phosphosites in regions important for ChR1 function points to their potential regulatory role(s). We propose that multiple ChR1 phosphorylation, regulated via a Ca2+-based feedback loop, is an important component in the adaptation of phototactic sensitivity in Chlamydomonas.

Improved Sensitivity and Separations for Phosphopeptides using Online Liquid Chromotography Coupled with Structures for Lossless Ion Manipulations Ion Mobility-Mass Spectrometry.

Phosphoproteomics greatly augments proteomics and holds tremendous potential for insights into the modulation of biological systems for various disease states. However, numerous challenges hinder conventional methods in terms of measurement sensitivity, throughput, quantification, and capabilities for confident phosphopeptide and phosphosite identification. In this work, we report the first example of integratingstructures for lossless ion manipulations ion mobility-mass spectrometry (SLIM IM-MS) with online reversed-phase liquid chromatography (LC) to evaluate its potential for addressing the aforementioned challenges. A mixture of 51 heavy-labeled phosphopeptides was analyzed with a SLIM IM module having integrated ion accumulation and long-path separation regions. The SLIM IM-MS provided limits of detection as low as 50-100 pM (50-100 amol/μL) for several phosphopeptides, with the potential for significant further improvements. In addition, conventionally problematic phosphopeptide isomers could be resolved following an 18 m SLIM IM separation. The 2-D LC-IM peak capacity was estimated as ∼9000 for a 90 min LC separation coupled to an 18 m SLIM IM separation, considerably higher than LC alone and providing a basis for both improved identification and quantification, with additional gains projected with the future use of longer path SLIM IM separations. Thus, LC-SLIM IM-MS offers great potential for improving the sensitivity, separation, and throughput of phosphoproteomics analyses.

Evaluation of Parameters for Confident Phosphorylation Site Localization Using an Orbitrap Fusion Tribrid Mass Spectrometer.

Confident identification of sites of protein phosphorylation by mass spectrometry (MS) is essential to advance understanding of phosphorylation-mediated signaling events. However, the development of novel instrumentation requires that methods for MS data acquisition and its interrogation be evaluated and optimized for high-throughput phosphoproteomics. Here we compare and contrast eight MS acquisition methods on the novel tribrid Orbitrap Fusion MS platform using both a synthetic phosphopeptide library and a complex phosphopeptide-enriched cell lysate. In addition to evaluating multiple fragmentation regimes (HCD, EThcD, and neutral-loss-triggered ET(ca/hc)D) and analyzers for MS/MS (orbitrap (OT) versus ion trap (IT)), we also compare two commonly used bioinformatics platforms, Andromeda with PTM-score, and MASCOT with ptmRS for confident phosphopeptide identification and, crucially, phosphosite localization. Our findings demonstrate that optimal phosphosite identification is achieved using HCD fragmentation and high-resolution orbitrap-based MS/MS analysis, employing MASCOT/ptmRS for data interrogation. Although EThcD is optimal for confident site localization for a given PSM, the increased duty cycle compared with HCD compromises the numbers of phosphosites identified. Finally, our data highlight that a charge-state-dependent fragmentation regime and a multiple algorithm search strategy are likely to be of benefit for confident large-scale phosphosite localization.

Analysis of Phosphotyrosine Signaling Networks in Lung Cancer Cell Lines.

Robust isolation and identification of peptides phosphorylated at their tyrosine residues are key steps in deciphering complex signaling networks governed by protein tyrosine kinases, including kinases involved in oncogenesis. Phosphotyrosine (pY)-containing peptides are commonly isolated from cellular lysates by means of antibody and/or metal affinity-based enrichment followed by their identification by mass spectrometry. Herein, we describe robust two-stage isolation of phosphotyrosine peptides and mass spectrometry-aided identification of phosphosites to characterize basal signaling networks in unstimulated non-small cell lung cancer (NSCLC) cell lines.

X!TandemPipeline: A Tool to Manage Sequence Redundancy for Protein Inference and Phosphosite Identification.

X!TandemPipeline is a software designed to perform protein inference and to manage redundancy in the results of phosphosite identification by database search. It provides the minimal list of proteins or phosphosites that are present in a set of samples using grouping algorithms based on the principle of parsimony. Regarding proteins, a two-level classification is performed, where groups gather proteins sharing at least one peptide and subgroups gather proteins that are not distinguishable according to the identified peptides. Regarding phosphosites, an innovative approach based on the concept of phosphoisland is used to gather overlapping phosphopeptides. The graphical interface of X!TandemPipeline allows the users to launch X!tandem identification, to inspect spectra and to manually validate their assignment to peptides, to launch the grouping program, and to visualize elementary data as well as grouping and redundancy information. Identification results obtained from other search engines can also be processed. X!TandemPipeline results can be exported as ready-to-use tabulated files or as XML files that can be directly used by the PROTICdb database or by the MassChroQ quantification software. X!TandemPipeline runs fast, is easy to use, and can process hundreds of samples simultaneously. It is freely available under the GNU General Public License v3.0 at http://pappso.inra.fr/bioinfo/xtandempipeline/ .

A comprehensive quantitative phosphoproteome analysis of rice in response to bacterial blight.

BackgroundRice is a major crop worldwide. Bacterial blight (BB) caused by Xanthomonas oryzae pv. oryzae (Xoo) has become one of the most devastating diseases for rice. It has been clear that phosphorylation plays essential roles in plant disease resistance. However, the role of phosphorylation is poorly understood in rice-Xoo system. Here, we report the first study on large scale enrichment of phosphopeptides and identification of phosphosites in rice before and 24 h after Xoo infection.ResultsWe have successfully identified 2367 and 2223 phosphosites on 1334 and 1297 representative proteins in 0 h and 24 h after Xoo infection, respectively. A total of 762 differentially phosphorylated proteins, including transcription factors, kinases, epi-genetic controlling factors and many well-known disease resistant proteins, are identified after Xoo infection suggesting that they may be functionally relevant to Xoo resistance. In particular, we found that phosphorylation/dephosphorylation might be a key switch turning on/off many epi-genetic controlling factors, including HDT701, in response to Xoo infection, suggesting that phosphorylation switch overriding the epi-genetic regulation may be a very universal model in the plant disease resistance pathway.ConclusionsThe phosphosites identified in this study would be a big complementation to our current knowledge in the phosphorylation status and sites of rice proteins. This research represents a substantial advance in understanding the rice phosphoproteome as well as the mechanism of rice bacterial blight resistance.Electronic supplementary materialThe online version of this article (doi:10.1186/s12870-015-0541-2) contains supplementary material, which is available to authorized users.

Sequential enrichment with titania-coated magnetic mesoporous hollow silica microspheres and zirconium arsenate-modified magnetic nanoparticles for the study of phosphoproteome of HL60 cells

As one of the most important types of post-translational modifications, reversible phosphorylation of proteins plays crucial roles in a large number of biological processes. However, owing to the relatively low abundance and dynamic nature of phosphorylation and the presence of the unphosphorylated peptides in large excess, phosphopeptide enrichment is indispensable in large-scale phosphoproteomic analysis. Metal oxides including titanium dioxide have become prominent affinity materials to enrich phosphopeptides prior to their analysis using liquid chromatography-mass spectrometry (LC-MS). In the current study, we established a novel strategy, which encompassed strong cation exchange chromatography, sequential enrichment of phosphopeptides using titania-coated magnetic mesoporous hollow silica microspheres (TiO2/MHMSS) and zirconium arsenate-modified magnetic nanoparticles (ZrAs–Fe3O4@SiO2), and LC-MS/MS analysis, for the proteome-wide identification of phosphosites of proteins in HL60 cells. In total, we were able to identify 11,579 unique phosphorylation sites in 3432 unique proteins. Additionally, our results suggested that TiO2/MHMSS and ZrAs–Fe3O4@SiO2 are complementary in phosphopeptide enrichment, where the two types of materials displayed preferential binding of peptides carrying multiple and single phosphorylation sites, respectively.

The Dinoflagellate Lingulodinium has Predicted Casein Kinase 2 Sites in Many RNA Binding Proteins

Many cellular processes in the dinoflagellate Lingulodinium polyedrum are controlled by a circadian (daily) clock. Since the activity of proteins involved in various metabolic pathways or in regulating gene expression can be affected by phosphorylation, we established a generalized phosphoproteome catalog using LC-MS/MS to analyze a phosphoprotein-enriched fraction. Over 11,000 peptides were identified by comparison to a Lingulodinium transcriptome, and 527 of these had at least one identified phosphosite. Gene ontology analysis revealed that RNA binding and translation were one of the major categories among these proteins identified by these peptides. Since casein kinase 2 (CK2) is known to be important in eukaryotic circadian biology substrates, we next tried to identify specific substrates for this kinase. To achieve this we first classified and catalogued the kinases in the Lingulodinium transcriptome then assigned the different phosphosites to the different kinase classes. Interestingly, potential CK2 targets include a substantial proportion of RNA binding proteins. Phosphosite identification thus provides a promising new approach to investigate the Lingulodinium circadian system.

Quantitation, networking, and function of protein phosphorylation in plant cell

Protein phosphorylation is one of the most important post-translational modifications (PTMs) as it participates in regulating various cellular processes and biological functions. It is therefore crucial to identify phosphorylated proteins to construct a phosphor-relay network, and eventually to understand the underlying molecular regulatory mechanism in response to both internal and external stimuli. The changes in phosphorylation status at these novel phosphosites can be accurately measured using a 15N-stable isotopic labeling in Arabidopsis (SILIA) quantitative proteomic approach in a high-throughput manner. One of the unique characteristics of the SILIA quantitative phosphoproteomic approach is the preservation of native PTM status on protein during the entire peptide preparation procedure. Evolved from SILIA is another quantitative PTM proteomic approach, AQUIP (absolute quantitation of isoforms of post-translationally modified proteins), which was developed by combining the advantages of targeted proteomics with SILIA. Bioinformatics-based phosphorylation site prediction coupled with an MS-based in vitro kinase assay is an additional way to extend the capability of phosphosite identification from the total cellular protein. The combined use of SILIA and AQUIP provides a novel strategy for molecular systems biological study and for investigation of in vivo biological functions of these phosphoprotein isoforms and combinatorial codes of PTMs.

Facile Identification and Quantitation of Protein Phosphorylation via β-Elimination and Michael Addition with Natural Abundance and Stable Isotope Labeled Thiocholine

Herein, we employ the unique chemical properties of the quaternary amine present in thiocholine (2-mercapto-N,N,N-trimethyl-ethanaminium) in conjunction with alkaline beta-elimination and Michael addition (BEMA) reactions for the specific detection, identification, and quantitation of phosphorylated serine/threonine containing peptides. Through replacement of the phosphate with thiocholine, the negative charge on the phosphopeptide is switched to a quaternary amine containing a permanent positive charge. This strategy resulted in a 100-fold increase in ionization sensitivity during ESI (sub-500 amol/microL detection limit) accompanied by a markedly enhanced production of informative peptidic fragment ions during CID that dramatically increase sequence coverage. Moreover, the definitive localization of phosphorylated residues is greatly facilitated through the generation of diagnostic triads of fragmentation ions resulting from peptide bond cleavage and further neutral loss of either trimethylamine (-59 Da) or thiocholine thiolate (-119 Da) during collision induced dissociation (CID) in tandem mass spectrometry (MS(2) and MS(3)). Synthesis of stable isotope labeled thiocholine enabled the quantitation of protein phosphorylation with high precision by ratiometric comparisons using heavy and light thiocholine. Collectively, this study demonstrates a sensitive and efficient strategy for mapping of phosphopeptides by BEMA using thiocholine through the production of a diagnostic repertoire of unique fragment ions during liquid chromatography-tandem mass spectrometry (LC-MS(2)/MS(3)) analyses, facilitating phosphosite identification and quantitative phosphoproteomics.

Methodologies for Characterizing Phosphoproteins by Mass Spectrometry

Posttranslational regulation of proteins via protein phosphorylation is one of the major means of protein regulation. Phosphorylation is a very rapid and reversible method of changing the function of proteins. Detection of phosphorylated proteins and the identification of phosphorylation sites are necessary to molecularly link specific phosphorylated events with change in phosphoprotein function. Mass Spectrometry (MS) has become the methodology of choice for phosphosite identification. Here we review current approaches including sample separation and enrichment techniques (SDS-PAGE, immunoprecipitation, metal-assisted enrichment, strong cation exchange, dendrimer capture), quantitative MS analysis methods (SILAC, iTRAQ, AQUA), and the application of recently developed methods including electron transfer dissociation ionization and "top-down" proteomics to phosphoprotein analysis.