Mass spectrometry is a fundamental tool for discovery and analysis in the life sciences. With the rapid advances in mass spectrometry technology and methods, it has become imperative to provide a standard output format for mass spectrometry data that will facilitate data sharing and analysis. Initially, the efforts to develop a standard format for mass spectrometry data resulted in multiple formats, each designed with a different underlying philosophy. To resolve the issues associated with having multiple formats, vendors, researchers, and software developers convened under the banner of the HUPO PSI to develop a single standard. The new data format incorporated many of the desirable technical attributes from the previous data formats, while adding a number of improvements, including features such as a controlled vocabulary with validation tools to ensure consistent usage of the format, improved support for selected reaction monitoring data, and immediately available implementations to facilitate rapid adoption by the community. The resulting standard data format, mzML, is a well tested open-source format for mass spectrometer output files that can be readily utilized by the community and easily adapted for incremental advances in mass spectrometry technology.

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Saliva is a body fluid with important functions in oral and general health. A consortium of three research groups catalogued the proteins in human saliva collected as the ductal secretions: 1166 identifications-914 in parotid and 917 in submandibular/sublingual saliva-were made. The results showed that a high proportion of proteins that are found in plasma and/or tears are also present in saliva along with unique components. The proteins identified are involved in numerous molecular processes ranging from structural functions to enzymatic/catalytic activities. As expected, the majority mapped to the extracellular and secretory compartments. An immunoblot approach was used to validate the presence in saliva of a subset of the proteins identified by mass spectrometric approaches. These experiments focused on novel constituents and proteins for which the peptide evidence was relatively weak. Ultimately, information derived from the work reported here and related published studies can be used to translate blood-based clinical laboratory tests into a format that utilizes saliva. Additionally, a catalogue of the salivary proteome of healthy individuals allows future analyses of salivary samples from individuals with oral and systemic diseases, with the goal of identifying biomarkers with diagnostic and/or prognostic value for these conditions; another possibility is the discovery of therapeutic targets.

Orai1 and STIM1 are critical components of Ca2+ release-activated Ca2+ (CRAC) channels that mediate store-operated Ca2+ entry (SOCE) in immune cells. While Orai1 and STIM1 co-cluster and physically interact to mediate SOCE, the cytoplasmic machinery modulating these functions remains poorly understood. We sought to find modulators of Orai1 and STIM1 using affinity protein purification and identified a novel EF-hand protein, CRACR2A (CRAC regulator 2A, EFCAB4B, FLJ33805). We show that CRACR2A directly interacts with Orai1 and STIM1, forming a ternary complex that dissociates at elevated Ca2+ concentrations. Studies using siRNA-mediated knockdown and mutagenesis show that CRACR2A is important for clustering of Orai1 and STIM1 upon store depletion. Expression of an EF-hand mutant of CRACR2A enhanced STIM1 clustering, elevated cytoplasmic Ca2+ and induced cell death, suggesting its active interaction with CRAC channels. These observations implicate CRACR2A, a novel Ca2+ binding protein, highly expressed in T cells and conserved in vertebrates, as a key regulator of CRAC channel-mediated SOCE.

A monoclonal antibody (mAb) has been produced which reacts with human mitofilin, a mitochondrial inner membrane protein. This mAb immunocaptures its target protein in association with six other proteins, metaxins 1 and 2, SAM50, CHCHD3, CHCHD6 and DnaJC11, respectively. The first three are outer membrane proteins, CHCHD3 has been assigned to the matrix space, and the other two proteins have not been described in mitochondria previously. The functional role of this new complex is uncertain. However, a role in protein import related to maintenance of mitochondrial structure is suggested as mitofilin helps regulate mitochondrial morphology and at least four of the associated proteins (metaxins 1 and 2, SAM50 and CHCHD3) have been implicated in protein import, while DnaJC11 is a chaperone-like protein that may have a similar role.

Top-down proteomics studies intact proteins, enabling new opportunities for analyzing post-translational modifications. Because tandem mass spectra of intact proteins are very complex, spectral deconvolution (grouping peaks into isotopomer envelopes) is a key initial stage for their interpretation. In such spectra, isotopomer envelopes of different protein fragments span overlapping regions on the m/z axis and even share spectral peaks. This raises both pattern recognition and combinatorial challenges for spectral deconvolution. We present MSDeconv, a combinatorial algorithm for spectral deconvolution. The algorithm first generates a large set of candidate isotopomer envelopes for a spectrum, then represents the spectrum as a graph, and finally selects its highest scoring subset of envelopes as a heaviest path in the graph. In contrast with other approaches, the algorithm scores sets of envelopes rather than individual envelopes. We demonstrate that MS-Deconv improves on Thrash and Xtract in the number of correctly recovered monoisotopic masses and speed. We applied MS-Deconv to a large set of top-down spectra from Yersinia rohdei (with a still unsequenced genome) and further matched them against the protein database of related and sequenced bacterium Yersinia enterocolitica. MS-Deconv is available at http://proteomics.ucsd.edu/Software.html. Molecular & Cellular Proteomics 9:2772-2782, 2010.Top-down proteomics is a mass spectrometry-based approach for identification of proteins and their post-translational modifications (PTMs) 1 (1-14). Unlike the "bottom-up" approach where proteins are first digested into peptides and then a peptide mixture is analyzed by mass spectrometry, the top-down approach analyzes intact proteins. Thus, it has advantages in detecting and localizing PTMs as well as identifying multiple protein species (e.g. proteolytically processed protein species). Despite its advantages, top-down proteomics presents many challenges. These include requirement of high sample quantity, sophisticated instrumentation, protein separation, and robust computational analysis tools. For this reason, top-down proteomics has rarely been used for analyzing complex mixtures (12-18), and it is typically used to study single purified proteins. However, this situation is quickly changing with recent top-down studies of complex protein mixtures (14,19).Because of the existence of natural isotopes, fragment ions of the same chemical formula and charge state are usually represented by a collection of spectral peaks in tandem mass spectra called an isotopomer envelope. The monoisotopic mass of a chemical formula is the sum of the masses of the atoms using the principal (most abundant) isotope for each element. Spectral deconvolution focuses on grouping spectral peaks into isotopomer envelopes. By doing so, the charge state and monoisotopic mass of each envelope are effectively determined. A complex multi-isotopic peak list in the m/z space is translated into a simple monoisotopic mass list that is easier to analyze.Given ...

Perception by plants of so-called microbe-associated molecular patterns (MAMPs) such as bacterial flagellin, referred to as pattern-triggered immunity, triggers a rapid transient accumulation of reactive oxygen species (ROS). We previously identified two cell wall peroxidases, PRX33 and PRX34, involved in apoplastic hydrogen peroxide (H 2 O 2 ) production in Arabidopsis (Arabidopsis thaliana). Here, we describe the generation of Arabidopsis tissue culture lines in which the expression of PRX33 and PRX34 is knocked down by antisense expression of a heterologous French bean (Phaseolus vulgaris) peroxidase cDNA construct. Using these tissue culture lines and two inhibitors of ROS generation, azide and diphenylene iodonium, we found that perxoxidases generate about half of the H 2 O 2 that accumulated in response to MAMP treatment and that NADPH oxidases and other sources such as mitochondria account for the remainder of the ROS. Knockdown of PRX33/PRX34 resulted in decreased expression of several MAMP-elicited genes, including MYB51, CYP79B2, and CYP81F2. Similarly, proteomic analysis showed that knockdown of PRX33/PRX34 led to the depletion of various MAMP-elicited defense-related proteins, including the two cysteine-rich peptides PDF2.2 and PDF2.3. Knockdown of PRX33/PRX34 also led to changes in the cell wall proteome, including increases in enzymes involved in cell wall remodeling, which may reflect enhanced cell wall expansion as a consequence of reduced H 2 O 2 -mediated cell wall cross-linking. Comparative metabolite profiling of a CaCl 2 extract of the PRX33/PRX34 knockdown lines showed significant changes in amino acids, aldehydes, and keto acids but not fatty acids and sugars. Overall, these data suggest that PRX33/PRX34-generated ROS production is involved in the orchestration of patterntriggered immunity in tissue culture cells.

We have shown that Rpl3, a protein of the large ribosomal subunit from baker's yeast (Saccharomyces cerevisiae), is stoichiometrically monomethylated at position 243, producing a 3-methylhistidine residue. This conclusion is supported by topdown and bottom-up mass spectrometry of Rpl3, as well as by biochemical analysis of Rpl3 radiolabeled in vivo with S-adenosyl-L-[methyl-3 H]methionine. The results show that a ؉14-Da modification occurs within the GTKKLPRKTHRGLRKVAC sequence of Rpl3. Using high-resolution cation-exchange chromatography and thin layer chromatography, we demonstrate that neither lysine nor arginine residues are methylated and that a 3-methylhistidine residue is present. Analysis of 37 deletion strains of known and putative methyltransferases revealed that only the deletion of the YIL110W gene, encoding a seven ␤-strand methyltransferase, results in the loss of the ؉14-Da modification of Rpl3. We suggest that YIL110W encodes a protein histidine methyltransferase responsible for the modification of Rpl3 and potentially other yeast proteins, and now designate it Hpm1 (Histidine protein methyltransferase 1). Deletion of the YIL110W/HPM1 gene results in numerous phenotypes including some that may result from abnormal interactions between Rpl3 and the 25 S ribosomal RNA. This is the first report of a methylated histidine residue in yeast cells, and the first example of a gene required for protein histidine methylation in nature.The addition of methyl groups to proteins from the methyl donor S-adenosylmethionine is one of the most common posttranslational modifications, resulting in an expansion of the physico-chemical characteristics of amino acids and the potential to modulate protein function (1). Major sites of protein methylation are at lysine and arginine residues (2, 3), and less major sites include glutamate, glutamine, and histidine residues, as well as N-terminal amino and C-terminal carboxyl groups (4 -6). The extensive role of histone methylation in transcriptional control highlights the biological significance of this modification (7-10). Protein methylation is also important in the translational machinery. Indeed, many proteins involved in translation, including ribosomal proteins and various elongation and release factors, are subject to methylation in both prokaryotes and eukaryotes (11).Saccharomyces cerevisiae is an ideal organism to investigate the methylation of ribosomal proteins; its genome is well annotated and single open reading frame gene deletion mutants are available. High-resolution intact mass spectrometry suggested that six proteins of the large ribosomal subunit may be methylated: Rpl1ab, Rpl3, Rpl12ab, Rpl23ab, Rpl42ab, and Rpl43ab (12).2 This study, however, did not identify the sites of methylation in these proteins nor did it identify the corresponding methyltransferases. In our laboratory, we have been interested in characterizing these modifications and identifying the methyltransferases involved in an effort to understand their physiological significance in trans...