Mass Spectrometry-based Protein Identification Research Articles

Urea free and more efficient sample preparation method for mass spectrometry based protein identification via combining the formic acid-assisted chemical cleavage and trypsin digestion

A formic acid (FA)-assisted sample preparation method was presented for protein identification via mass spectrometry (MS). Detailedly, an aqueous solution containing 2% FA and dithiothreitol was selected to perform protein denaturation, aspartic acid (D) sites cleavage and disulfide linkages reduction simultaneously at 108°C for 2h. Subsequently, FA wiped off via vacuum concentration. Finally, iodoacetamide (IAA) alkylation and trypsin digestion could be performed ordinally. A series of model proteins (BSA, β-lactoglobulin and apo-Transferrin) were treated respectively using such method, followed by matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) analysis. The identified peptide number was increased by ∼80% in comparison with the conventional urea-assisted sample preparation method. Moreover, BSA identification was achieved efficiently down to femtomole (25±0 sequence coverage and 16±1 peptides) via such method. In contrast, there were not peptides identified confidently via the urea-assisted method before desalination via the C18 zip tip. The absence of urea in this sample preparation method was an advantage for the more favorable digestion and MALDI-TOF MS analysis. The performances of two methods for the real sample (rat liver proteome) were also compared, followed by a nanoflow reversed-phase liquid chromatography with electrospray ionization tandem mass spectrometry system analysis. As a result, 1335±43 peptides were identified confidently (false discovery rate <1%) via FA-assisted method, corresponding to 295±12 proteins (of top match=1 and requiring 2 unique peptides at least). In contrast, there were only 1107±16 peptides (corresponding to 231±10 proteins) obtained from the conventional urea-assisted method. It was serving as a more efficient protein sample preparation method for researching specific proteomes better, and providing assistance to develop other proteomics analysis methods, such as, peptide quantitative analysis.

Visualizing Meta-Features in Proteomic Maps

BackgroundThe steps of a high-throughput proteomics experiment include the separation, differential expression and mass spectrometry-based identification of proteins. However, the last and more challenging step is inferring the biological role of the identified proteins through their association with interaction networks, biological pathways, analysis of the effect of post-translational modifications, and other protein-related information.ResultsIn this paper, we present an integrative visualization methodology that allows combining experimentally produced proteomic features with protein meta-features, typically coming from meta-analysis tools and databases, in synthetic Proteomic Feature Maps. Using three proteomics analysis scenarios, we show that the proposed visualization approach is effective in filtering, navigating and interacting with the proteomics data in order to address visually challenging biological questions. The novelty of our approach lies in the ease of integration of any user-defined proteomic features in easy-to-comprehend visual representations that resemble the familiar 2D-gel images, and can be adapted to the user's needs. The main capabilities of the developed VIP software, which implements the presented visualization methodology, are also highlighted and discussed.ConclusionsBy using this visualization and the associated VIP software, researchers can explore a complex heterogeneous proteomics dataset from different perspectives in order to address visually important biological queries and formulate new hypotheses for further investigation. VIP is freely available at http://pelopas.uop.gr/~egian/VIP/index.html.

Development of bovine serum albumin certified reference material

We present the development process for National Institute of Metrology (NIM) bovine serum albumin (BSA) certified reference material (CRM). Each CRM unit contains about 200 mg of purified BSA. The moisture, ignition residue, molecular weight, and high-performance liquid chromatography (HPLC) purity were analyzed and mass spectrometry based protein identification was carried out to ensure the material was BSA. Both amino acid based isotope dilution mass spectrometry (IDMS) and a purity deduction method were selected for value assignment. The certified value was the average of the IDMS and the purity deduction result. HPLC purity analysis was used to examine the homogeneity and stability of solid BSA CRM. Fifteen units were selected for between-bottle homogeneity examination and seven subsamples from the same bottle were selected for within-bottle homogeneity examination. Statistics showed the CRM passed both the between-bottle and the within-bottle homogeneity examination. The CRM stability under storage conditions (-20 °C) was tested for 18 months and no trend was observed. Uncertainties from the balance, amino acid purity, hydrolysis, method reproducibility, homogeneity, and stability were taken into account in uncertainty evaluation. The final certified value of NIM BSA CRM is (0.963±0.038) g/g.

Identification of surface proteins in Enterococcus faecalis V583

BackgroundSurface proteins are a key to a deeper understanding of the behaviour of Gram-positive bacteria interacting with the human gastro-intestinal tract. Such proteins contribute to cell wall synthesis and maintenance and are important for interactions between the bacterial cell and the human host. Since they are exposed and may play roles in pathogenicity, surface proteins are interesting targets for drug design.ResultsUsing methods based on proteolytic "shaving" of bacterial cells and subsequent mass spectrometry-based protein identification, we have identified surface-located proteins in Enterococcus faecalis V583. In total 69 unique proteins were identified, few of which have been identified and characterized previously. 33 of these proteins are predicted to be cytoplasmic, whereas the other 36 are predicted to have surface locations (31) or to be secreted (5). Lipid-anchored proteins were the most dominant among the identified surface proteins. The seemingly most abundant surface proteins included a membrane protein with a potentially shedded extracellular sulfatase domain that could act on the sulfate groups in mucin and a lipid-anchored fumarate reductase that could contribute to generation of reactive oxygen species.ConclusionsThe present proteome analysis gives an experimental impression of the protein landscape on the cell surface of the pathogenic bacterium E. faecalis. The 36 identified secreted (5) and surface (31) proteins included several proteins involved in cell wall synthesis, pheromone-regulated processes, and transport of solutes, as well as proteins with unknown function. These proteins stand out as interesting targets for further investigation of the interaction between E. faecalis and its environment.

Consequences of Depletion of the Signal Recognition Particle in Escherichia coli

Thus far, the role of the Escherichia coli signal recognition particle (SRP) has only been studied using targeted approaches. It has been shown for a handful of cytoplasmic membrane proteins that their insertion into the cytoplasmic membrane is at least partially SRP-dependent. Furthermore, it has been proposed that the SRP plays a role in preventing toxic accumulation of mistargeted cytoplasmic membrane proteins in the cytoplasm. To complement the targeted studies on SRP, we have studied the consequences of the depletion of the SRP component Fifty-four homologue (Ffh) in E. coli using a global approach. The steady-state proteomes and the proteome dynamics were evaluated using one- and two-dimensional gel analysis, followed by mass spectrometry-based protein identification and immunoblotting. Our analysis showed that depletion of Ffh led to the following: (i) impaired kinetics of the biogenesis of the cytoplasmic membrane proteome; (ii) lowered steady-state levels of the respiratory complexes NADH dehydrogenase, succinate dehydrogenase, and cytochrome bo(3) oxidase and lowered oxygen consumption rates; (iii) increased levels of the chaperones DnaK and GroEL at the cytoplasmic membrane; (iv) a σ(32) stress response and protein aggregation in the cytoplasm; and (v) impaired protein synthesis. Our study shows that in E. coli SRP-mediated protein targeting is directly linked to maintaining protein homeostasis and the general fitness of the cell.

Open MS/MS spectral library search to identify unanticipated post-translational modifications and increase spectral identification rate

Motivation: Identification of post-translationally modified proteins has become one of the central issues of current proteomics. Spectral library search is a new and promising computational approach to mass spectrometry-based protein identification. However, its potential in identification of unanticipated post-translational modifications has rarely been explored. The existing spectral library search tools are designed to match the query spectrum to the reference library spectra with the same peptide mass. Thus, spectra of peptides with unanticipated modifications cannot be identified.Results: In this article, we present an open spectral library search tool, named pMatch. It extends the existing library search algorithms in at least three aspects to support the identification of unanticipated modifications. First, the spectra in library are optimized with the full peptide sequence information to better tolerate the peptide fragmentation pattern variations caused by some modification(s). Second, a new scoring system is devised, which uses charge-dependent mass shifts for peak matching and combines a probability-based model with the general spectral dot-product for scoring. Third, a target-decoy strategy is used for false discovery rate control. To demonstrate the effectiveness of pMatch, a library search experiment was conducted on a public dataset with over 40 000 spectra in comparison with SpectraST, the most popular library search engine. Additional validations were done on four published datasets including over 150 000 spectra. The results showed that pMatch can effectively identify unanticipated modifications and significantly increase spectral identification rate.Availability: http://pfind.ict.ac.cn/pmatch/Contact: yfu@ict.ac.cn; rxsun@ict.ac.cnSupplementary information: Supplementary data are available at Bioinformatics online.

Prognostic value of serum protein biomarkers in patients with epithelial ovarian cancer.

10567 Background: Study was designed to identify biomarker candidate proteins (bcp) in discovery phase and validate them in confirmation phase using serum samples from healthy control and epithelial ovarian cancer (EOC) patients. Then bcp's were examined in EOC patients in context of current disease status; during chemotherapy treatments (c), remission (RM), and recurrence (RC). Methods: We combined mass spectrometry-based Multidimensional Protein Identification Technology (MUDPIT) proteomics strategy with high throughput Multiplex beads-based LUMINEX assay and enzyme-linked immunosorbent assay (ELISA) to identify and validate the bcps in serum. 88 healthy controls and 83 EOC patients were analyzed; 18 during chemotherapy, 28 in remission and 34 with recurrent disease. Results: Expression levels of acute phase protein Serum amyloid A (SAA), C-reactive protein (CRP), alpha 1 antitrypsin (SERPINA1), secreted phosphoprotein 1 (SSP1), and matrix metallopeptidase 1 (MMP1) were increased in cancer patients, while chemokine ligand 2 (CCL2) showed lower expression level in the cancer samples versus controls (Table). Elevated serum levels of CRP (p=0.027)and MMP1(p=0.015) were associated with cancer recurrence when compared to remission. Conclusions: Serum levels of bcps SAA, MMP1, CRP, SSP1, SERPINA1, and CCL2 were significantly changed in cancer and some protein level changes correspond to EOC clinical status. These bcp's may be important in CA125 negative patients and deserve further study. Symbol Study phases RC/control p C/control p RC + C/control p RC/RM p SAA MS discovery 2.62 0.0272 1.89 0.2664 2.24 0.0400 2.93 0.0112 ELISA/LUMINEX confirmation 3.37 0.0212 4.59 0.0956 3.80 0.0055 2.30 0.0748 SERPINA1 MS discovery 2.01 0.1814 3.29 0.0067 2.68 0.0157 0.84 0.6201 ELISA/LUMINEX confirmation 1.18 0.0343 1.31 0.02 1.23 0.0027 0.82 0.0871 CRP MS discovery 4.93 0.0016 6.00 0.0019 5.49 0.0000 2.98 0.0081 ELISA/LUMINEX confirmation 4.09 0.0003 5.38 0.0172 4.54 0.0000 2.03 0.0270 SPP1 ELISA/LUMINEX confirmation 2.51 0.0004 3.12 0.1100 2.72 0.0013 1.48 0.1089 MMP1 ELISA/LUMINEX confirmation 1.90 0.0005 1.80 0.0183 1.86 0.0000 1.56 0.0159 CCL2 ELISA/LUMINEX confirmation 0.80 0.0445 1.17 0.4893 0.93 0.5348 0.87 0.3513 No significant financial relationships to disclose.

Npr2, Yeast Homolog of the Human Tumor Suppressor NPRL2 , Is a Target of Grr1 Required for Adaptation to Growth on Diverse Nitrogen Sources

Npr2, a putative "nitrogen permease regulator" and homolog of the human tumor suppressor NPRL2, was found to interact with Grr1, the F-box component of the SCF(Grr1) (Skp1-cullin-F-box protein complex containing Grr1) E3 ubiquitin ligase, by mass spectrometry-based multidimensional protein identification technology. Npr2 has two PEST sequences and has been previously identified among ubiquitinated proteins. Like other Grr1 targets, Npr2 is a phosphoprotein. Phosphorylated Npr2 accumulates in grr1Delta mutants, and Npr2 is stabilized in cells with inactivated proteasomes. Phosphorylation and instability depend upon the type I casein kinases (CK1) Yck1 and Yck2. Overexpression of Npr2 is detrimental to cells and is lethal in grr1Delta mutants. Npr2 is required for robust growth in defined medium containing ammonium or urea as a nitrogen source but not for growth on rich medium. npr2Delta mutants also fail to efficiently complete meiosis. Together, these data indicate that Npr2 is a phosphorylation-dependent target of the SCF(Grr1) E3 ubiquitin ligase that plays a role in cell growth on some nitrogen sources.

Critical Role of Nucleostemin in Pre-rRNA Processing

Nucleostemin is a nucleolar protein widely expressed in proliferating cells. Nucleostemin is involved in the regulation of cell proliferation, and both depletion and overexpression of nucleostemin induce cell cycle arrest through the p53 signaling pathway. Although the presence of p53-independent functions of nucleostemin has been previously suggested, the identities of these additional functions remained to be investigated. Here, we show that nucleostemin has a novel role as an integrated component of ribosome biogenesis, particularly pre-rRNA processing. Nucleostemin forms a large protein complex (>700 kDa) that co-fractionates with the pre-60 S ribosomal subunit in a sucrose gradient. This complex contains proteins related to pre-rRNA processing, such as Pes1, DDX21, and EBP2, in addition to several ribosomal proteins. We show that the nucleolar retention of DDX21 and EBP2 is dependent on the presence of nucleostemin in the nucleolus. Furthermore, the knockdown of nucleostemin delays the processing of 32 S pre-rRNA into 28 S rRNA. This is accompanied by a substantial decrease of protein synthesis as well as the levels of rRNAs and some mRNAs. In addition, overexpressed nucleostemin significantly promotes the processing of 32 S pre-rRNA. Collectively, these biochemical and functional studies demonstrate a novel role of nucleostemin in ribosome biogenesis. This is a key aspect of the role of nucleostemin in regulating cell proliferation.

Coupling Two-Dimensional Liquid Chromatography With Esi Ms For Label-Free Absolute Protein Quantification

During the past decade mass spectrometry has become accepted as an essential tool to better understand protein function, facilitating both the identification and quantification of proteins in complex samples. We, and others, have previously described a novel approach to mass spectrometry based protein identification [1-3] that facilitates the simultaneous acquisition of qualitative and quantitative information, in a data independent fashion.

Effects of SecE Depletion on the Inner and Outer Membrane Proteomes of Escherichia coli

The Sec translocon is a protein-conducting channel that allows polypeptides to be transferred across or integrated into a membrane. Although protein translocation and insertion in Escherichia coli have been studied using only a small set of specific model substrates, it is generally assumed that most secretory proteins and inner membrane proteins use the Sec translocon. Therefore, we have studied the role of the Sec translocon using subproteome analysis of cells depleted of the essential translocon component SecE. The steady-state proteomes and the proteome dynamics were evaluated using one- and two-dimensional gel analysis, followed by mass spectrometry-based protein identification and extensive immunoblotting. The analysis showed that upon SecE depletion (i) secretory proteins aggregated in the cytoplasm and the cytoplasmic sigma(32) stress response was induced, (ii) the accumulation of outer membrane proteins was reduced, with the exception of OmpA, Pal, and FadL, and (iii) the accumulation of a surprisingly large number of inner membrane proteins appeared to be unaffected or increased. These proteins lacked large translocated domains and/or consisted of only one or two transmembrane segments. Our study suggests that several secretory and inner membrane proteins can use Sec translocon-independent pathways or have superior access to the remaining Sec translocons present in SecE-depleted cells.

Mitochondrial Dysfunction in the Hypertensive Rat Brain

The central nervous system plays a critical role in the normal control of arterial blood pressure and in its elevation in virtually all forms of hypertension. Mitochondrial dysfunction has been increasingly associated with the development of hypertension. Therefore, we examined whether mitochondrial dysfunction occurs in the brain in hypertension and characterized it at the molecular scale. Mitochondria from whole brain and brain stem from 12-week-old spontaneously hypertensive rats with elevated blood pressure (190+/-5 mm Hg) were compared against those from age-matched normotensive (134+/-7 mm Hg) Wistar Kyoto rats (n=4 in each group). Global differential analysis using 2D electrophoresis followed by tandem mass spectrometry-based protein identification suggested a downregulation of enzymes involved in cellular energetics in hypertension. Targeted differential analysis of mitochondrial respiratory complexes using the classical blue-native SDS-PAGE/Western method and a complementary combination of sucrose-gradient ultracentrifugation/tandem mass spectrometry revealed previously unknown assembly defects in complexes I, III, IV, and V in hypertension. Interestingly, targeted examination of the brain stem, a regulator of cardiovascular homeostasis and systemic blood pressure, further showed the occurrence of mitochondrial complex I dysfunction, elevated reactive oxygen species production, decreased ATP synthesis, and impaired respiration in hypertension. Our findings suggest that in already-hypertensive spontaneously hypertensive rats, the brain respiratory complexes exhibit previously unknown assembly defects. These defects impair the function of the mitochondrial respiratory chain. This mitochondrial dysfunction localizes to the brain stem and is, therefore, likely to contribute to the development, as well as to pathophysiological complications, of hypertension.

Proteomics of chondrocytes with special reference to phosphorylation changes of proteins in stretched human chondrosarcoma cells

For proteomic analysis, cartilage molecular composition is a challenging mixture of highly glycosylated proteoglycans and triple-helical collagens, which constitute the major part of cartilage macromolecules. Selective separation of these molecules from the minor components is generally needed before mass spectrometry-based identification of lower-abundancy proteins is possible. The cell density of cartilage is also very low, therefore, cell cultures offer an easier approach to study cellular responses of chondrocytic cells, e.g., to mechanical stimuli. In this study, we investigated the phosphorylation events in human chondrosarcoma cells during cellular stretching. Human chondrosarcoma cells were stretched to 8% strain at a frequency of 1 Hz. One set of experiments included cellular stretching which lasted 2 hours, and the other one included experiments of 2 hours daily treatment for up to 3 days. Two-dimensional polyacrylamide gel electrophoresis combined with chromatographic phosphoprotein pre-enrichment and electrospray ionization mass spectrometry-based protein identification was used to reveal changes of phosphoproteins in cells exposed to cyclic stretching. We discovered that 2 hours cyclic stretching increased the phosphorylation of moesin, elongation factor eEF1D and leprecan, while the phosphorylation of elongation factor eEF1B decreased after cellular stretching. Western blot analyses with phospho-specific antibodies suggested that stretching induces phosphorylation of ERK of the MAP kinase pathway, but did not induce phosphorylation of phosphatidylinositol 3-kinase. In conclusion, the proteomic approach revealed that cellular stretching induced specific phosphorylation changes in chondrosarcoma cells.

Tandem mass spectrometry data quality assessment by self-convolution.

BackgroundMany algorithms have been developed for deciphering the tandem mass spectrometry (MS) data sets. They can be essentially clustered into two classes. The first performs searches on theoretical mass spectrum database, while the second based itself on de novo sequencing from raw mass spectrometry data. It was noted that the quality of mass spectra affects significantly the protein identification processes in both instances. This prompted the authors to explore ways to measure the quality of MS data sets before subjecting them to the protein identification algorithms, thus allowing for more meaningful searches and increased confidence level of proteins identified.ResultsThe proposed method measures the qualities of MS data sets based on the symmetric property of b- and y-ion peaks present in a MS spectrum. Self-convolution on MS data and its time-reversal copy was employed. Due to the symmetric nature of b-ions and y-ions peaks, the self-convolution result of a good spectrum would produce a highest mid point intensity peak. To reduce processing time, self-convolution was achieved using Fast Fourier Transform and its inverse transform, followed by the removal of the "DC" (Direct Current) component and the normalisation of the data set. The quality score was defined as the ratio of the intensity at the mid point to the remaining peaks of the convolution result. The method was validated using both theoretical mass spectra, with various permutations, and several real MS data sets. The results were encouraging, revealing a high percentage of positive prediction rates for spectra with good quality scores.ConclusionWe have demonstrated in this work a method for determining the quality of tandem MS data set. By pre-determining the quality of tandem MS data before subjecting them to protein identification algorithms, spurious protein predictions due to poor tandem MS data are avoided, giving scientists greater confidence in the predicted results. We conclude that the algorithm performs well and could potentially be used as a pre-processing for all mass spectrometry based protein identification tools.

Ion Activation in Electron Capture Dissociation To Distinguish between N-Terminal and C-Terminal Product Ions

We present a method to distinguish N-terminal from C-terminal product ions in electron capture dissociation (ECD) MS/MS due to the change in relative abundances of even-electron (prime) and odd-electron (radical) product ions produced in consecutive ECD and activated ion-ECD mass spectra. The method is based on the rate and direction of hydrogen atom transfer between N-terminal and C-terminal ECD products and its dependence on ion internal energy. We demonstrate that increasing ion internal energy by vibrational activation prior to ECD results in decreased ratio of radical/prime N-terminal product ions (c*/c' ratio), but increased ratio of radical/prime C-terminal product ions (z*/z' ratio) in many cases. The combination of AI-ECD and ECD promises to increase the confidence of mass spectrometry-based peptide sequencing and protein identification.

Protein identification by syringe pump-driven reversed-phase LC–MS/MS

In typical mass spectrometry-based protein identification using peptide fragmentation fingerprinting, front-end separation plays a critical role in successful peptide sequencing. This separation step demands a great deal of time and usually is the rate-limiting step for the whole process. Here we provide an alternative separation method, based on a simple nanoflow delivery system, that is able to shorten the separation time considerably. This system consists of a 25-μl syringe connected to a manually packed reversed-phase mini-capillary column that can be directly coupled to an electrospray ionization tandem mass spectrometer. A syringe pump is then used to deliver the peptide mixtures at a nanoscale flow rate. We examined the efficiency and efficacy of this method by analyzing the tryptic peptides of bovine serum albumin and of 10 Escherichia coli proteins separated by two-dimensional gel electrophoresis (2DE). The results showed that identification of each protein could be achieved successfully within 25 min by using the disposable mini-capillary column. Moreover, all 2DE-separated E. coli proteins were identified at high confidence levels. Together, our data suggest that this method is a suitable option for mass spectrometry-based protein identification.

Absence of Increased α1-Microglobulin in IgA Nephropathy Proteinuria

To search for biomarkers of IgA nephropathy, protein profiles of urine samples from patients with IgA nephropathy and normal volunteers were compared using two-dimensional DIGE. Most of the 172 spots identified in the urine were serum proteins, and their amounts in IgA nephropathy urine were much higher than those in normal urine; this can be explained as proteinuria caused by glomerular dysfunction. However, only alpha(1)-microglobulin, also one of the major serum proteins, in IgA nephropathy urine was not higher in amount than that in normal urine. We confirmed using ELISA analysis that the amounts of transferrin and albumin in IgA nephropathy and diabetic nephropathy urine were much higher than those in normal urine, whereas the amount of alpha(1)-microglobulin in IgA nephropathy urine was not higher than that in normal urine and was much lower than that in diabetic nephropathy urine. Approximately 50% of alpha(1)-microglobulin forms a complex with IgA in serum. These results suggest that alpha(1)-microglobulin in IgA nephropathy urine is a characteristic protein and might be a biomarker for IgA nephropathy and that alpha(1)-microglobulin might have a relationship with IgA nephropathy pathology.

A Hormone and Proteome Approach to Picturing the Initial Metabolic Events During Plasmodiophora brassicae Infection on Arabidopsis

We report on the early response of Arabidopsis thaliana to the obligate biotrophic pathogen Plasmodiophora brassicae at the hormone and proteome level. Using a CYCB1;1::GUS construct, the re-initiation of infection-related cell division is shown from 4 days after inoculation on. Sensitivity to cytokinins and auxins as well as the endogenous hormone levels are evaluated. Both an enhanced cytokinin gene response and an accumulation of isopentenyl adenine and adenosine precede this re-initiation of cell division, whereas an enhanced auxin gene response is observed from 6 days after inoculation on. The alhl mutant, impaired in the cross talk between ethylene and auxins, is resistant to P. brassicae. A differential protein analysis of infected versus noninfected roots and hypocotyls was performed using two-dimensional gel electrophoresis and quantitative image analysis, coupled to matrix-assisted laser desorption ionization time of flight-time of flight mass spectrometry-based protein identification. Of the visualized proteins, 12% show altered abundance compared with the noninfected plants, including proteins involved in metabolism, cell defense, cell differentiation, and detoxification. Combining the hormone and proteome data, we postulate that, at the very first stages of Plasmodiophora infection, plasmodial-produced cytokinins trigger a local re-initiation of cell division in the root cortex. Consequently, a de novo meristematic area is established that acts as a sink for host-derived indole-3-acetic acid, carbohydrates, nitrogen, and energy to maintain the pathogen and to trigger gall development.

Bioinformatic Standards for Proteomics-Oriented Mass Spectrometry

A major goal of proteomics is the complete description of all the proteins present in cells, tissues and biological fluids. The method of choice for identifying and characterizing proteins for such purposes is protease digestion coupled with mass spectrometry (MS) and subsequent protein sequence database searching. New software tools to increase the sensitivity and specificity of MS based protein identification and methods for evaluating the validity of the peptide-mass spectrum matches have been developed and existing software has generally been improved. However, with the ongoing rapid increase in both volume and fragmentation of publicly available MS protein data, the development and adoption of data standards has become pivotal to the realization of integrated systems biology investigations. Unfortunately, the native data standards used by each type of mass spectrometers, each database search engine, and each public database currently differ. The diverse, nontransparent nature of the proprietary data structures complicates the necessary data integration and data comparison across experiments. To overcome this problem, data standards have been developed through the extensible markup language (XML). To date, the most comprehensive standardization attempt has been concomitantly conducted by the Institute for Systems Biology (mzXML, PepXML, ProtXML) and the Proteomics Standard Initiative (mzData, PSIMI). Their standards eliminate the need to support multiple input formats and significantly facilitate the exchange and publication of MS-based proteomic data. In this article, we also discuss the standards used for biological proteomic data representation in order to facilitate interpretation and dissemination of research results. Keywords: Proteomics, bioinformatics, open XML

The cell-shape protein MreC interacts with extracytoplasmic proteins including cell wall assembly complexes in Caulobacter crescentus

The bacterial actin homolog, MreB, forms helical cables within the cell that are required for maintenance of a rod shape. These helical structures are thought to be involved in the spatial organization of cell wall (peptidoglycan) synthesizing complexes of penicillin-binding proteins (PBPs). Here, we examined the role of the MreC cell shape protein in this process in Caulobacter crescentus. Subcellular fractionation experiments showed that MreC is a periplasmic protein and, as assayed by immunofluorescence microscopy, adopted helical or banded patterns along the cell length reminiscent of those formed by MreB and PBP2. The pattern of MreC and PBP2 localization remained when MreB cables were disrupted by treatment with the inhibitor A22. However, long-term absence of MreB led to cell shape changes and an eventual loss of MreC localization, suggesting that an independent structure, perhaps an intact peptidoglycan layer, contributes to the MreC localization pattern. Using affinity chromatography with MreC covalently bound to Sepharose, we isolated several PBPs from cell extracts that eluted from the column as heterogeneous complexes. In this same experiment, using mass spectrometry-based protein identification, we identified several outer membrane proteins, including TonB-dependent receptor transport proteins, that interacted with MreC. Imaging live cells containing fusions of these outer membrane proteins to green fluorescent protein showed that they adopted a subcellular localization pattern that was similar to that of MreC. These results suggest that MreC may function in the spatial organization of PBPs as well as other proteins that lie outside the cytoplasmic membrane.