Current status of the plant phosphorylation site database PhosPhAt and its use as a resource for molecular plant physiology

As the most studied post-translational modification, protein phosphorylation is analyzed in a growing number of proteomic experiments. These high-throughput approaches generate large datasets, from which specific spectrum-based information can be hard to find. In 2007, the PhosPhAt database was launched to collect and present Arabidopsis phosphorylation sites identified by mass spectrometry from and for the scientific community. At present, PhosPhAt 3.0 consolidates phosphoproteomics data from 19 published proteomic studies. Out of 5460 listed unique phosphoproteins, about 25% have been identified in at least two independent experimental setups. This is especially important when considering issues of false positive and false negative identification rates and data quality (Durek etal., 2010). This valuable data set encompasses over 13205 unique phosphopeptides, with unambiguous mapping to serine (77%), threonine (17%), and tyrosine (6%). Sorting the functional annotations of experimentally found phosphorylated proteins in PhosPhAt using Gene Ontology terms shows an over-representation of proteins in regulatory pathways and signaling processes. A similar distribution is found when the PhosPhAt predictor, trained on experimentally obtained plant phosphorylation sites, is used to predict phosphorylation sites for the Arabidopsis genome. Finally, the possibility to insert a protein sequence into the PhosPhAt predictor allows species independent use of the prediction resource. In practice, PhosPhAt also allows easy exploitation of proteomic data for design of further targeted experiments

Phosphotyrosine interactome of the ErbB-receptor kinase family

Interactions between short modified peptide motifs and modular protein domains are central events in cell signal-transduction. We determined interaction partners to all cytosolic tyrosine residues of the four members of the ErbB-receptor family in an unbiased fashion by quantitative proteomics using pull-down experiments with pairs of phosphorylated and nonphosphorylated synthetic peptides. Each receptor had characteristic preferences for interacting proteins and most interaction partners had multiple binding sites on each receptor. EGFR and ErbB4 had several docking sites for Grb2, while ErbB3 was characterized by six binding sites for PI3K. We identified STAT5 as a direct binding partner to EGFR and ErbB4 and discovered new recognition motifs for Shc and STAT5. The overall pattern of interaction partners of EGFR and ErbB4 suggests similar roles during signaling through their respective ligands. Phosphorylation kinetics of several tyrosine resides was measured by mass spectrometry and correlated with interaction partner preference. Our results demonstrate that system-wide mapping of peptide-protein interactions sites is possible, and suggest shared and unique roles of ErbB-receptor family members in downstream signaling

Phosphotyrosine interactome of the ErbB-receptor kinase family

Interactions between short modified peptide motifs and modular protein domains are central events in cell signal-transduction. We determined interaction partners to all cytosolic tyrosine residues of the four members of the ErbB-receptor family in an unbiased fashion by quantitative proteomics using pull-down experiments with pairs of phosphorylated and nonphosphorylated synthetic peptides. Each receptor had characteristic preferences for interacting proteins and most interaction partners had multiple binding sites on each receptor. EGFR and ErbB4 had several docking sites for Grb2, while ErbB3 was characterized by six binding sites for PI3K. We identified STAT5 as a direct binding partner to EGFR and ErbB4 and discovered new recognition motifs for Shc and STAT5. The overall pattern of interaction partners of EGFR and ErbB4 suggests similar roles during signaling through their respective ligands. Phosphorylation kinetics of several tyrosine resides was measured by mass spectrometry and correlated with interaction partner preference. Our results demonstrate that system-wide mapping of peptide-protein interactions sites is possible, and suggest shared and unique roles of ErbB-receptor family members in downstream signaling

Metabolic labeling of plant cell cultures with K(15)NO(3 )as a tool for quantitative analysis of proteins and metabolites

Strategies for robust quantitative comparison between different biological samples are of high importance in experiments that address biological questions beyond the establishment of protein lists. Here, we propose the use of (15)N-KNO(3 )as the only nitrogen source in Arabidopsis cell cultures in order to achieve a metabolically fully labeled cell population. Proteins from such metabolically labeled culture are distinguishable from unlabeled protein populations by a characteristic mass shift that depends on the amino acid composition of the tryptic peptide analyzed. In addition, the metabolically labeled cell extracts are also suitable for comparative quantitative analysis of nitrogen-containing cellular metabolic complement. Protein extracts from unlabeled and from standardized (15)N-labeled cells were combined into one sample for joined analytical processing. This has the advantage of (i) reduced experimental variability and (ii) immediate relative quantitation at the level of single extracted peptide and metabolite spectra. Together ease and accuracy of relative quantitation for profiling experiments is substantially improved. The metabolic labeling strategy has been validated by mixtures of protein extracts and metabolite extracts from the same cell cultures in known ratios of labeled to unlabeled extracts (1:1, 1:4, and 4:1). We conclude that saturating metabolic (15)N-labeling provides a robust and affordable integrative strategy to answer questions in quantitative proteomics and nitrogen focused metabolomics

Interactions between co-expressed Arabidopsis sucrose transporters in the split-ubiquitin system

BACKGROUND: The Arabidopsis genome contains nine sucrose transporter paralogs falling into three clades: SUT1-like, SUT2 and SUT4. The carriers differ in their kinetic properties. Many transport proteins are known to exist as oligomers. The yeast-based split ubiquitin system can be used to analyze the ability of membrane proteins to interact. RESULTS: Promoter-GUS fusions were used to analyze the cellular expression of the three transporter genes in transgenic Arabidopsis plants. All three fusion genes are co-expressed in companion cells. Protein-protein interactions between Arabidopsis sucrose transporters were tested using the split ubiquitin system. Three paralogous sucrose transporters are capable of interacting as either homo- or heteromers. The interactions are specific, since a potassium channel and a glucose transporter did not show interaction with sucrose transporters. Also the biosynthetic and metabolizing enzymes, sucrose phosphate phosphatase and sucrose synthase, which were found to be at least in part bound to the plasma membrane, did not specifically interact with sucrose transporters. CONCLUSIONS: The split-ubiquitin system provides a powerful tool to detect potential interactions between plant membrane proteins by heterologous expression in yeast, and can be used to screen for interactions with membrane proteins as baits. Like other membrane proteins, the Arabidopsis sucrose transporters are able to form oligomers. The biochemical approaches are required to confirm the in planta interaction

ProMEX: a mass spectral reference database for proteins and protein phosphorylation sites

<p>Abstract</p> <p>Background</p> <p>In the last decade, techniques were established for the large scale genome-wide analysis of proteins, RNA, and metabolites, and database solutions have been developed to manage the generated data sets. The Golm Metabolome Database for metabolite data (GMD) represents one such effort to make these data broadly available and to interconnect the different molecular levels of a biological system <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>. As data interpretation in the light of already existing data becomes increasingly important, these initiatives are an essential part of current and future systems biology.</p> <p>Results</p> <p>A mass spectral library consisting of experimentally derived tryptic peptide product ion spectra was generated based on liquid chromatography coupled to ion trap mass spectrometry (LC-IT-MS). Protein samples derived from <it>Arabidopsis thaliana</it>, <it>Chlamydomonas reinhardii</it>, <it>Medicago truncatula</it>, and <it>Sinorhizobium meliloti </it>were analysed. With currently 4,557 manually validated spectra associated with 4,226 unique peptides from 1,367 proteins, the database serves as a continuously growing reference data set and can be used for protein identification and quantification in uncharacterized biological samples. For peptide identification, several algorithms were implemented based on a recently published study for peptide mass fingerprinting <abbrgrp><abbr bid="B2">2</abbr></abbrgrp> and tested for false positive and negative rates. An algorithm which considers intensity distribution for match correlation scores was found to yield best results. For proof of concept, an LC-IT-MS analysis of a tryptic leaf protein digest was converted to mzData format and searched against the mass spectral library. The utility of the mass spectral library was also tested for the identification of phosphorylated tryptic peptides. We included <it>in vivo </it>phosphorylation sites of <it>Arabidopsis thaliana </it>proteins and the identification performance was found to be improved compared to genome-based search algorithms. Protein identification by ProMEX is linked to other levels of biological organization such as metabolite, pathway, and transcript data. The database is further connected to annotation and classification services via BioMoby.</p> <p>Conclusion</p> <p>The ProMEX protein/peptide database represents a mass spectral reference library with the capability of matching unknown samples for protein identification. The database allows text searches based on metadata such as experimental information of the samples, mass spectrometric instrument parameters or unique protein identifier like AGI codes. ProMEX integrates proteomics data with other levels of molecular organization including metabolite, pathway, and transcript information and may thus become a useful resource for plant systems biology studies. The ProMEX mass spectral library is available at <url>http://promex.mpimp-golm.mpg.de/</url>.</p

Classification and Interactions of LRR Receptors and Co-receptors Within the Arabidopsis Plasma Membrane – An Overview

Receptor kinases (RK) constitute the largest protein kinase family in plants. In particular, members of the leucine-rich repeat-receptor kinases (LRR-RKs) are involved in the perception of various signals at the plasma membrane. Experimental evidence over the past years revealed a conserved activation mechanism through ligand-inducible heterodimer formation: a ligand is recognized by a receptor kinase with a large extracellular domain (ECD). This ligand binding receptor directly interacts with a so-called co-receptor with a small ECD for ligand fixation and kinase activation. A large proportion of LRR-RKs is functionally still uncharacterized and the dynamic complexity of the plasma membrane makes it difficult to precisely define receptor kinase heterodimer pairs and their functions. In this review, we give an overview of the current knowledge of LRR receptor and co-receptor functions. We use ECD lengths to classify the LRR receptor kinase family and describe different interaction properties of ligand-binding receptors and their respective co-receptor from a network perspective