WorldWideScience

Sample records for accurate protein identification

  1. Towards an accurate bioimpedance identification

    Sanchez, B.; Louarroudi, E.; Bragos, R.; Pintelon, R.

    2013-04-01

    This paper describes the local polynomial method (LPM) for estimating the time-invariant bioimpedance frequency response function (FRF) considering both the output-error (OE) and the errors-in-variables (EIV) identification framework and compare it with the traditional cross— and autocorrelation spectral analysis techniques. The bioimpedance FRF is measured with the multisine electrical impedance spectroscopy (EIS) technique. To show the overwhelming accuracy of the LPM approach, both the LPM and the classical cross— and autocorrelation spectral analysis technique are evaluated through the same experimental data coming from a nonsteady-state measurement of time-varying in vivo myocardial tissue. The estimated error sources at the measurement frequencies due to noise, σnZ, and the stochastic nonlinear distortions, σZNL, have been converted to Ω and plotted over the bioimpedance spectrum for each framework. Ultimately, the impedance spectra have been fitted to a Cole impedance model using both an unweighted and a weighted complex nonlinear least square (CNLS) algorithm. A table is provided with the relative standard errors on the estimated parameters to reveal the importance of which system identification frameworks should be used.

  2. Towards an accurate bioimpedance identification

    This paper describes the local polynomial method (LPM) for estimating the time-invariant bioimpedance frequency response function (FRF) considering both the output-error (OE) and the errors-in-variables (EIV) identification framework and compare it with the traditional cross— and autocorrelation spectral analysis techniques. The bioimpedance FRF is measured with the multisine electrical impedance spectroscopy (EIS) technique. To show the overwhelming accuracy of the LPM approach, both the LPM and the classical cross— and autocorrelation spectral analysis technique are evaluated through the same experimental data coming from a nonsteady-state measurement of time-varying in vivo myocardial tissue. The estimated error sources at the measurement frequencies due to noise, σnZ, and the stochastic nonlinear distortions, σZNL, have been converted to Ω and plotted over the bioimpedance spectrum for each framework. Ultimately, the impedance spectra have been fitted to a Cole impedance model using both an unweighted and a weighted complex nonlinear least square (CNLS) algorithm. A table is provided with the relative standard errors on the estimated parameters to reveal the importance of which system identification frameworks should be used.

  3. Accurate in silico identification of species-specific acetylation sites by integrating protein sequence-derived and functional features

    Li, Yuan; Wang, Mingjun; Wang, Huilin; Tan, Hao; Zhang, Ziding; Webb, Geoffrey I.; Song, Jiangning

    2014-07-01

    Lysine acetylation is a reversible post-translational modification, playing an important role in cytokine signaling, transcriptional regulation, and apoptosis. To fully understand acetylation mechanisms, identification of substrates and specific acetylation sites is crucial. Experimental identification is often time-consuming and expensive. Alternative bioinformatics methods are cost-effective and can be used in a high-throughput manner to generate relatively precise predictions. Here we develop a method termed as SSPKA for species-specific lysine acetylation prediction, using random forest classifiers that combine sequence-derived and functional features with two-step feature selection. Feature importance analysis indicates functional features, applied for lysine acetylation site prediction for the first time, significantly improve the predictive performance. We apply the SSPKA model to screen the entire human proteome and identify many high-confidence putative substrates that are not previously identified. The results along with the implemented Java tool, serve as useful resources to elucidate the mechanism of lysine acetylation and facilitate hypothesis-driven experimental design and validation.

  4. Fast and Accurate Identification of Cross-Linked Peptides for the Structural Analysis of Large Protein Complexes and Elucidation of Interaction Networks. / Tahir, Salman; Bukowski-Wills, Jimi-Carlo; Rasmussen, Morten; Rappsilber, Juri

    Rasmussen, Morten

    Fast and Accurate Identification of Cross-Linked Peptides for the structural analysis of large protein complexes and to elucidate interaction networks. Salman Tahir Jimi-Carlo Bukowski-Wills; Morten Rasmussen; Juri RappsilberWellcome Trust Centre for Cell Biology, Edinburgh , United Kingdom   Novel...

  5. Accurate pose estimation for forensic identification

    Merckx, Gert; Hermans, Jeroen; Vandermeulen, Dirk

    2010-04-01

    In forensic authentication, one aims to identify the perpetrator among a series of suspects or distractors. A fundamental problem in any recognition system that aims for identification of subjects in a natural scene is the lack of constrains on viewing and imaging conditions. In forensic applications, identification proves even more challenging, since most surveillance footage is of abysmal quality. In this context, robust methods for pose estimation are paramount. In this paper we will therefore present a new pose estimation strategy for very low quality footage. Our approach uses 3D-2D registration of a textured 3D face model with the surveillance image to obtain accurate far field pose alignment. Starting from an inaccurate initial estimate, the technique uses novel similarity measures based on the monogenic signal to guide a pose optimization process. We will illustrate the descriptive strength of the introduced similarity measures by using them directly as a recognition metric. Through validation, using both real and synthetic surveillance footage, our pose estimation method is shown to be accurate, and robust to lighting changes and image degradation.

  6. Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology

    Ju, Ying

    2016-01-01

    Cancerlectins are cancer-related proteins that function as lectins. They have been identified through computational identification techniques, but these techniques have sometimes failed to identify proteins because of sequence diversity among the cancerlectins. Advanced machine learning identification methods, such as support vector machine and basic sequence features (n-gram), have also been used to identify cancerlectins. In this study, various protein fingerprint features and advanced classifiers, including ensemble learning techniques, were utilized to identify this group of proteins. We improved the prediction accuracy of the original feature extraction methods and classification algorithms by more than 10% on average. Our work provides a basis for the computational identification of cancerlectins and reveals the power of hybrid machine learning techniques in computational proteomics. PMID:27478823

  7. Combinatorial Approaches to Accurate Identification of Orthologous Genes

    Shi, Guanqun

    2011-01-01

    The accurate identification of orthologous genes across different species is a critical and challenging problem in comparative genomics and has a wide spectrum of biological applications including gene function inference, evolutionary studies and systems biology. During the past several years, many methods have been proposed for ortholog assignment based on sequence similarity, phylogenetic approaches, synteny information, and genome rearrangement. Although these methods share many commonly a...

  8. DOMAC: an accurate, hybrid protein domain prediction server

    Cheng, Jianlin

    2007-01-01

    Protein domain prediction is important for protein structure prediction, structure determination, function annotation, mutagenesis analysis and protein engineering. Here we describe an accurate protein domain prediction server (DOMAC) combining both template-based and ab initio methods. The preliminary version of the server was ranked among the top domain prediction servers in the seventh edition of Critical Assessment of Techniques for Protein Structure Prediction (CASP7), 2006. DOMAC server...

  9. Accurate Peptide Fragment Mass Analysis: Multiplexed Peptide Identification and Quantification

    Weisbrod, Chad R.; Eng, Jimmy K.; Hoopmann, Michael R.; Baker, Tahmina; Bruce, James E.

    2012-01-01

    FT All Reaction Monitoring (FT-ARM) is a novel approach for the identification and quantification of peptides that relies upon the selectivity of high mass accuracy data and the specificity of peptide fragmentation patterns. An FT-ARM experiment involves continuous, data-independent, high mass accuracy MS/MS acquisition spanning a defined m/z range. Custom software was developed to search peptides against the multiplexed fragmentation spectra by comparing theoretical or empirical fragment ion...

  10. Accurate Identification of Fear Facial Expressions Predicts Prosocial Behavior

    Marsh, Abigail A.; Kozak, Megan N.; Ambady, Nalini

    2007-01-01

    The fear facial expression is a distress cue that is associated with the provision of help and prosocial behavior. Prior psychiatric studies have found deficits in the recognition of this expression by individuals with antisocial tendencies. However, no prior study has shown accuracy for recognition of fear to predict actual prosocial or antisocial behavior in an experimental setting. In 3 studies, the authors tested the prediction that individuals who recognize fear more accurately will beha...

  11. PILER-CR: Fast and accurate identification of CRISPR repeats

    Edgar Robert C

    2007-01-01

    Full Text Available Abstract Background Sequencing of prokaryotic genomes has recently revealed the presence of CRISPR elements: short, highly conserved repeats separated by unique sequences of similar length. The distinctive sequence signature of CRISPR repeats can be found using general-purpose repeat- or pattern-finding software tools. However, the output of such tools is not always ideal for studying these repeats, and significant effort is sometimes needed to build additional tools and perform manual analysis of the output. Results We present PILER-CR, a program specifically designed for the identification and analysis of CRISPR repeats. The program executes rapidly, completing a 5 Mb genome in around 5 seconds on a current desktop computer. We validate the algorithm by manual curation and by comparison with published surveys of these repeats, finding that PILER-CR has both high sensitivity and high specificity. We also present a catalogue of putative CRISPR repeats identified in a comprehensive analysis of 346 prokaryotic genomes. Conclusion PILER-CR is a useful tool for rapid identification and classification of CRISPR repeats. The software is donated to the public domain. Source code and a Linux binary are freely available at http://www.drive5.com/pilercr.

  12. Accurate analysis of EBSD data for phase identification

    Palizdar, Y; Cochrane, R C; Brydson, R; Leary, R; Scott, A J, E-mail: preyp@leeds.ac.u [Institute for Materials Research, University of Leeds, Leeds LS2 9JT UK (United Kingdom)

    2010-07-01

    This paper aims to investigate the reliability of software default settings in the analysis of EBSD results. To study the effect of software settings on the EBSD results, the presence of different phases in high Al steel has been investigated by EBSD. The results show the importance of appropriate automated analysis parameters for valid and reliable phase discrimination. Specifically, the importance of the minimum number of indexed bands and the maximum solution error have been investigated with values of 7-9 and 1.0-1.5{sup 0} respectively, found to be needed for accurate analysis.

  13. An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions

    Xin Deng

    2015-07-01

    Full Text Available Protein disordered regions are segments of a protein chain that do not adopt a stable structure. Thus far, a variety of protein disorder prediction methods have been developed and have been widely used, not only in traditional bioinformatics domains, including protein structure prediction, protein structure determination and function annotation, but also in many other biomedical fields. The relationship between intrinsically-disordered proteins and some human diseases has played a significant role in disorder prediction in disease identification and epidemiological investigations. Disordered proteins can also serve as potential targets for drug discovery with an emphasis on the disordered-to-ordered transition in the disordered binding regions, and this has led to substantial research in drug discovery or design based on protein disordered region prediction. Furthermore, protein disorder prediction has also been applied to healthcare by predicting the disease risk of mutations in patients and studying the mechanistic basis of diseases. As the applications of disorder prediction increase, so too does the need to make quick and accurate predictions. To fill this need, we also present a new approach to predict protein residue disorder using wide sequence windows that is applicable on the genomic scale.

  14. Optical identifications of radio sources with accurate positions using the UKST IIIa-J plates

    Three radio identification programmes are described which are drawn from radio samples with accurate radio positions (< 2'' arc rms). Optical identifications are being made on the basis of radio-optical positional coincidence alone, without regard to colour or morphology, using the UKST IIIa-J sky survey to a limiting magnitude of 22.5. Some preliminary results are presented. (Auth.)

  15. Highly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical Characteristics.

    Li, Zheng-Wei; You, Zhu-Hong; Chen, Xing; Gui, Jie; Nie, Ru

    2016-01-01

    Protein-protein interactions (PPIs) occur at almost all levels of cell functions and play crucial roles in various cellular processes. Thus, identification of PPIs is critical for deciphering the molecular mechanisms and further providing insight into biological processes. Although a variety of high-throughput experimental techniques have been developed to identify PPIs, existing PPI pairs by experimental approaches only cover a small fraction of the whole PPI networks, and further, those approaches hold inherent disadvantages, such as being time-consuming, expensive, and having high false positive rate. Therefore, it is urgent and imperative to develop automatic in silico approaches to predict PPIs efficiently and accurately. In this article, we propose a novel mixture of physicochemical and evolutionary-based feature extraction method for predicting PPIs using our newly developed discriminative vector machine (DVM) classifier. The improvements of the proposed method mainly consist in introducing an effective feature extraction method that can capture discriminative features from the evolutionary-based information and physicochemical characteristics, and then a powerful and robust DVM classifier is employed. To the best of our knowledge, it is the first time that DVM model is applied to the field of bioinformatics. When applying the proposed method to the Yeast and Helicobacter pylori (H. pylori) datasets, we obtain excellent prediction accuracies of 94.35% and 90.61%, respectively. The computational results indicate that our method is effective and robust for predicting PPIs, and can be taken as a useful supplementary tool to the traditional experimental methods for future proteomics research. PMID:27571061

  16. Protein Structure Idealization: How accurately is it possible to model protein structures with dihedral angles?

    Cui, Xuefeng; Li, Shuai Cheng; Bu, Dongbo; Alipanahi, Babak; Li, Ming

    2013-01-01

    Previous studies show that the same type of bond lengths and angles fit Gaussian distributions well with small standard deviations on high resolution protein structure data. The mean values of these Gaussian distributions have been widely used as ideal bond lengths and angles in bioinformatics. However, we are not aware of any research done to evaluate how accurately we can model protein structures with dihedral angles and ideal bond lengths and angles. Here, we introduce the protein structur...

  17. Neural Network Based Accurate Biometric Recognition and Identification of Human Iris Patterns

    M. Gopikrishnan; T.Santhanam

    2010-01-01

    Problem statement: A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Approach: Most commercial iris recognition systems use patented algorithms developed by Daugman and these algorithms are able to produce perfect recognition rates. However, published results have usually been produced under favor...

  18. Identification of Microorganisms by High Resolution Tandem Mass Spectrometry with Accurate Statistical Significance

    Alves, Gelio; Wang, Guanghui; Ogurtsov, Aleksey Y.; Drake, Steven K.; Gucek, Marjan; Suffredini, Anthony F.; Sacks, David B.; Yu, Yi-Kuo

    2016-02-01

    Correct and rapid identification of microorganisms is the key to the success of many important applications in health and safety, including, but not limited to, infection treatment, food safety, and biodefense. With the advance of mass spectrometry (MS) technology, the speed of identification can be greatly improved. However, the increasing number of microbes sequenced is challenging correct microbial identification because of the large number of choices present. To properly disentangle candidate microbes, one needs to go beyond apparent morphology or simple `fingerprinting'; to correctly prioritize the candidate microbes, one needs to have accurate statistical significance in microbial identification. We meet these challenges by using peptidome profiles of microbes to better separate them and by designing an analysis method that yields accurate statistical significance. Here, we present an analysis pipeline that uses tandem MS (MS/MS) spectra for microbial identification or classification. We have demonstrated, using MS/MS data of 81 samples, each composed of a single known microorganism, that the proposed pipeline can correctly identify microorganisms at least at the genus and species levels. We have also shown that the proposed pipeline computes accurate statistical significances, i.e., E-values for identified peptides and unified E-values for identified microorganisms. The proposed analysis pipeline has been implemented in MiCId, a freely available software for Microorganism Classification and Identification. MiCId is available for download at http://www.ncbi.nlm.nih.gov/CBBresearch/Yu/downloads.html.

  19. The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text

    Pafilis, Evangelos; Pletscher-Frankild, Sune; Fanini, Lucia;

    2013-01-01

    The exponential growth of the biomedical literature is making the need for efficient, accurate text-mining tools increasingly clear. The identification of named biological entities in text is a central and difficult task. We have developed an efficient algorithm and implementation of a dictionary......-based approach to named entity recognition, which we here use to identify names of species and other taxa in text. The tool, SPECIES, is more than an order of magnitude faster and as accurate as existing tools. The precision and recall was assessed both on an existing gold-standard corpus and on a new corpus of...

  20. Mining tandem mass spectral data to develop a more accurate mass error model for peptide identification.

    Fu, Yan; Gao, Wen; He, Simin; Sun, Ruixiang; Zhou, Hu; Zeng, Rong

    2007-01-01

    The assumption on the mass error distribution of fragment ions plays a crucial role in peptide identification by tandem mass spectra. Previous mass error models are the simplistic uniform or normal distribution with empirically set parameter values. In this paper, we propose a more accurate mass error model, namely conditional normal model, and an iterative parameter learning algorithm. The new model is based on two important observations on the mass error distribution, i.e. the linearity between the mean of mass error and the ion mass, and the log-log linearity between the standard deviation of mass error and the peak intensity. To our knowledge, the latter quantitative relationship has never been reported before. Experimental results demonstrate the effectiveness of our approach in accurately quantifying the mass error distribution and the ability of the new model to improve the accuracy of peptide identification. PMID:17990507

  1. A Statistical Method for Assessing Peptide Identification Confidence in Accurate Mass and Time Tag Proteomics

    Stanley, Jeffrey R.; Adkins, Joshua N.; Slysz, Gordon W.; Monroe, Matthew E.; Purvine, Samuel O.; Karpievitch, Yuliya V.; Anderson, Gordon A.; Smith, Richard D.; Dabney, Alan R.

    2011-07-15

    High-throughput proteomics is rapidly evolving to require high mass measurement accuracy for a variety of different applications. Increased mass measurement accuracy in bottom-up proteomics specifically allows for an improved ability to distinguish and characterize detected MS features, which may in turn be identified by, e.g., matching to entries in a database for both precursor and fragmentation mass identification methods. Many tools exist with which to score the identification of peptides from LC-MS/MS measurements or to assess matches to an accurate mass and time (AMT) tag database, but these two calculations remain distinctly unrelated. Here we present a statistical method, Statistical Tools for AMT tag Confidence (STAC), which extends our previous work incorporating prior probabilities of correct sequence identification from LC-MS/MS, as well as the quality with which LC-MS features match AMT tags, to evaluate peptide identification confidence. Compared to existing tools, we are able to obtain significantly more high-confidence peptide identifications at a given false discovery rate and additionally assign confidence estimates to individual peptide identifications. Freely available software implementations of STAC are available in both command line and as a Windows graphical application.

  2. Post-Electrophoretic Identification of Oxidized Proteins

    Conrad Craig

    2000-01-01

    Full Text Available The oxidative modification of proteins has been shown to play a major role in a number of human diseases. However, the ability to identify specific proteins that are most susceptible to oxidative modifications is difficult. Separation of proteins using polyacrylamide gel electrophoresis (PAGE offers the analytical potential for the recovery, amino acid sequencing, and identification of thousands of individual proteins from cells and tissues. We have developed a method to allow underivatized proteins to be electroblotted onto PVDF membranes before derivatization and staining. Since both the protein and oxidation proteins are quantifiable, the specific oxidation index of each protein can be determined. The optimal sequence and conditions for the staining process are (a electrophoresis, (b electroblotting onto PVDF membranes, (c derivatization of carbonyls with 2,4-DNP, (d immunostaining with anti DNP antibody, and (e protein staining with colloidal gold.

  3. Energy functions for protein design I: Efficient and accurate continuum electrostatics and solvation

    Pokala, Navin; Handel, Tracy M.

    2004-01-01

    Electrostatics and solvation energies are important for defining protein stability, structural specificity, and molecular recognition. Because these energies are difficult to compute quickly and accurately, they are often ignored or modeled very crudely in computational protein design. To address this problem, we have developed a simple, fast, and accurate approximation for calculating Born radii in the context of protein design calculations. When these approximate Born radii are used with th...

  4. Protein kinase substrate identification on functional protein arrays

    Zhou Fang

    2008-02-01

    Full Text Available Abstract Background Over the last decade, kinases have emerged as attractive therapeutic targets for a number of different diseases, and numerous high throughput screening efforts in the pharmaceutical community are directed towards discovery of compounds that regulate kinase function. The emerging utility of systems biology approaches has necessitated the development of multiplex tools suitable for proteomic-scale experiments to replace lower throughput technologies such as mass spectroscopy for the study of protein phosphorylation. Recently, a new approach for identifying substrates of protein kinases has applied the miniaturized format of functional protein arrays to characterize phosphorylation for thousands of candidate protein substrates in a single experiment. This method involves the addition of protein kinases in solution to arrays of immobilized proteins to identify substrates using highly sensitive radioactive detection and hit identification algorithms. Results To date, the factors required for optimal performance of protein array-based kinase substrate identification have not been described. In the current study, we have carried out a detailed characterization of the protein array-based method for kinase substrate identification, including an examination of the effects of time, buffer compositions, and protein concentration on the results. The protein array approach was compared to standard solution-based assays for assessing substrate phosphorylation, and a correlation of greater than 80% was observed. The results presented here demonstrate how novel substrates for protein kinases can be quickly identified from arrays containing thousands of human proteins to provide new clues to protein kinase function. In addition, a pooling-deconvolution strategy was developed and applied that enhances characterization of specific kinase-substrate relationships and decreases reagent consumption. Conclusion Functional protein microarrays are an

  5. Identification of extracellularly phosphorylated membrane proteins.

    Burghoff, Sandra; Willberg, Wibke; Schrader, Jürgen

    2015-10-01

    Ecto-protein kinases phosphorylate extracellular membrane proteins and exhibit similarities to casein kinases and protein kinases A and C. However, the identification of their protein substrates still remains a challenge because a clear separation from intracellular phosphoproteins is difficult. Here, we describe a straightforward method for the identification of extracellularly phosphorylated membrane proteins in human umbilical vein endothelial cells (HUVECs) and K562 cells which used the protease bromelain to selectively remove ectoproteins from intact cells and combined this with the subsequent analysis using IMAC and LC-MS/MS. A "false-positive" strategy in which cells without protease treatment served as controls was applied. Using this approach we identified novel phosphorylation sites on five ectophosphoproteins (NOTCH1, otopetrin 1, regulator of G-protein signalling 13 (RGS13), protein tyrosine phosphatase receptor type D isoform 3 (PTPRD), usherin isoform B (USH2A)). Use of bromelain appears to be a reliable technique for the further identification of phosphorylated surface-exposed peptides when extracellular adenosine-5'-triphosphate is elevated during purinergic signalling. PMID:26152529

  6. Final Progress Report: Isotope Identification Algorithm for Rapid and Accurate Determination of Radioisotopes Feasibility Study

    Rawool-Sullivan, Mohini [Los Alamos National Laboratory; Bounds, John Alan [Los Alamos National Laboratory; Brumby, Steven P. [Los Alamos National Laboratory; Prasad, Lakshman [Los Alamos National Laboratory; Sullivan, John P. [Los Alamos National Laboratory

    2012-04-30

    This is the final report of the project titled, 'Isotope Identification Algorithm for Rapid and Accurate Determination of Radioisotopes,' PMIS project number LA10-HUMANID-PD03. The goal of the work was to demonstrate principles of emulating a human analysis approach towards the data collected using radiation isotope identification devices (RIIDs). It summarizes work performed over the FY10 time period. The goal of the work was to demonstrate principles of emulating a human analysis approach towards the data collected using radiation isotope identification devices (RIIDs). Human analysts begin analyzing a spectrum based on features in the spectrum - lines and shapes that are present in a given spectrum. The proposed work was to carry out a feasibility study that will pick out all gamma ray peaks and other features such as Compton edges, bremsstrahlung, presence/absence of shielding and presence of neutrons and escape peaks. Ultimately success of this feasibility study will allow us to collectively explain identified features and form a realistic scenario that produced a given spectrum in the future. We wanted to develop and demonstrate machine learning algorithms that will qualitatively enhance the automated identification capabilities of portable radiological sensors that are currently being used in the field.

  7. Novel methods for accurate identification, isolation, and genomic analysis of symptomatic microenvironments in atherosclerotic arteries.

    Slevin, Mark; Baldellou, Maribel; Hill, Elspeth; Alexander, Yvonne; McDowell, Garry; Murgatroyd, Christopher; Carroll, Michael; Degens, Hans; Krupinski, Jerzy; Rovira, Norma; Chowdhury, Mohammad; Serracino-Inglott, Ferdinand; Badimon, Lina

    2014-01-01

    A challenge facing surgeons is identification and selection of patients for carotid endarterectomy or coronary artery bypass/surgical intervention. While some patients with atherosclerosis develop unstable plaques liable to undergo thrombosis, others form more stable plaques and are asymptomatic. Identification of the cellular signaling mechanisms associated with production of the inflammatory, hemorrhagic lesions of mature heterogenic plaques will help significantly in our understanding of the differences in microenvironment associated with development of regions susceptible to rupture and thrombosis and may help to predict the risk of plaque rupture and guide surgical intervention to patients who will most benefit. Here, we demonstrate detailed and novel methodologies for successful and, more importantly, accurate and reproducible extraction, sampling, and analysis of micro-regions in stable and unstable coronary/carotid arteries. This information can be applied to samples from other origins and so should be useful for scientists working with micro-isolation techniques in all fields of biomedical science. PMID:24510873

  8. Rapid and accurate identification of poliovirus strains used for vaccine production.

    Nijst, Olaf E M; Mouthaan, Justin J; Mekkes, Dirk R; Jusic, Edin; van der Avoort, Harrie G A M; Metz, Bernard

    2013-04-01

    In the context of eradication of poliomyelitis the World Health Organization stimulates the development of inactivated polio vaccines based on attenuated virus strains. In addition to vaccine development, tests have to be designed to assess the vaccine quality. An important test is the identification test for poliovirus strains that are used for the vaccine production. A rapid and accurate PCR method with fluorescent probes has been developed to identify unequivocally the vaccine-specific poliovirus strains, such as Mahoney, MEF-1, Saukett H, Sabin type 1, Sabin type 2 and Sabin type 3. PMID:23434540

  9. A Novel PCR-Based Approach for Accurate Identification of Vibrio parahaemolyticus.

    Li, Ruichao; Chiou, Jiachi; Chan, Edward Wai-Chi; Chen, Sheng

    2016-01-01

    A PCR-based assay was developed for more accurate identification of Vibrio parahaemolyticus through targeting the bla CARB-17 like element, an intrinsic β-lactamase gene that may also be regarded as a novel species-specific genetic marker of this organism. Homologous analysis showed that bla CARB-17 like genes were more conservative than the tlh, toxR and atpA genes, the genetic markers commonly used as detection targets in identification of V. parahaemolyticus. Our data showed that this bla CARB-17-specific PCR-based detection approach consistently achieved 100% specificity, whereas PCR targeting the tlh and atpA genes occasionally produced false positive results. Furthermore, a positive result of this test is consistently associated with an intrinsic ampicillin resistance phenotype of the test organism, presumably conferred by the products of bla CARB-17 like genes. We envision that combined analysis of the unique genetic and phenotypic characteristics conferred by bla CARB-17 shall further enhance the detection specificity of this novel yet easy-to-use detection approach to a level superior to the conventional methods used in V. parahaemolyticus detection and identification. PMID:26858713

  10. Mechanism for accurate, protein-assisted DNA annealing by Deinococcus radiodurans DdrB.

    Sugiman-Marangos, Seiji N; Weiss, Yoni M; Junop, Murray S

    2016-04-19

    Accurate pairing of DNA strands is essential for repair of DNA double-strand breaks (DSBs). How cells achieve accurate annealing when large regions of single-strand DNA are unpaired has remained unclear despite many efforts focused on understanding proteins, which mediate this process. Here we report the crystal structure of a single-strand annealing protein [DdrB (DNA damage response B)] in complex with a partially annealed DNA intermediate to 2.2 Å. This structure and supporting biochemical data reveal a mechanism for accurate annealing involving DdrB-mediated proofreading of strand complementarity. DdrB promotes high-fidelity annealing by constraining specific bases from unauthorized association and only releases annealed duplex when bound strands are fully complementary. To our knowledge, this mechanism provides the first understanding for how cells achieve accurate, protein-assisted strand annealing under biological conditions that would otherwise favor misannealing. PMID:27044084

  11. Neural Network Based Accurate Biometric Recognition and Identification of Human Iris Patterns

    M. Gopikrishnan

    2010-01-01

    Full Text Available Problem statement: A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Approach: Most commercial iris recognition systems use patented algorithms developed by Daugman and these algorithms are able to produce perfect recognition rates. However, published results have usually been produced under favorable conditions and there have been no independent trials of the technology. Results: In this study after providing brief picture on development of various techniques for iris recognition, hamming distance coupled with neural network based iris recognition techniques were discussed. Perfect recognition on a set of 150 eye images has been achieved through this approach. Further, Tests on another set of 801 images resulted in false accept and false reject rates of 0.0005 and 0.187% respectively, providing the reliability and accuracy of the biometric technology. Conclusion/Recommendations: This study provided results of iris recognition performed applying Hamming distance, Feed forward back propagation, Cascade forward back propagation, Elman forward back propagation and perceptron. It has been established that the method suggested applying perceptron provides the best accuracy in respect of iris recognition with no major additional computational complexity.

  12. Analysis of hydraulic fracturing flowback and produced waters using accurate mass: identification of ethoxylated surfactants.

    Thurman, E Michael; Ferrer, Imma; Blotevogel, Jens; Borch, Thomas

    2014-10-01

    Two series of ethylene oxide (EO) surfactants, polyethylene glycols (PEGs from EO3 to EO33) and linear alkyl ethoxylates (LAEs C-9 to C-15 with EO3-EO28), were identified in hydraulic fracturing flowback and produced water using a new application of the Kendrick mass defect and liquid chromatography/quadrupole-time-of-flight mass spectrometry. The Kendrick mass defect differentiates the proton, ammonium, and sodium adducts in both singly and doubly charged forms. A structural model of adduct formation is presented, and binding constants are calculated, which is based on a spherical cagelike conformation, where the central cation (NH4(+) or Na(+)) is coordinated with ether oxygens. A major purpose of the study was the identification of the ethylene oxide (EO) surfactants and the construction of a database with accurate masses and retention times in order to unravel the mass spectral complexity of surfactant mixtures used in hydraulic fracturing fluids. For example, over 500 accurate mass assignments are made in a few seconds of computer time, which then is used as a fingerprint chromatogram of the water samples. This technique is applied to a series of flowback and produced water samples to illustrate the usefulness of ethoxylate "fingerprinting", in a first application to monitor water quality that results from fluids used in hydraulic fracturing. PMID:25164376

  13. CASD-NMR 2: robust and accurate unsupervised analysis of raw NOESY spectra and protein structure determination with UNIO

    Guerry, Paul; Duong, Viet Dung; Herrmann, Torsten, E-mail: torsten.herrmann@ens-lyon.fr [Université de Lyon (UMR 5280 CNRS, Ecole Normale Supérieure de Lyon, Université Claude Bernard Lyon 1), Institut des Sciences Analytiques, Centre de RMN à très Hauts Champs (France)

    2015-08-15

    UNIO is a comprehensive software suite for protein NMR structure determination that enables full automation of all NMR data analysis steps involved—including signal identification in NMR spectra, sequence-specific backbone and side-chain resonance assignment, NOE assignment and structure calculation. Within the framework of the second round of the community-wide stringent blind NMR structure determination challenge (CASD-NMR 2), we participated in two categories of CASD-NMR 2, namely using either raw NMR spectra or unrefined NOE peak lists as input. A total of 15 resulting NMR structure bundles were submitted for 9 out of 10 blind protein targets. All submitted UNIO structures accurately coincided with the corresponding blind targets as documented by an average backbone root mean-square deviation to the reference proteins of only 1.2 Å. Also, the precision of the UNIO structure bundles was virtually identical to the ensemble of reference structures. By assessing the quality of all UNIO structures submitted to the two categories, we find throughout that only the UNIO–ATNOS/CANDID approach using raw NMR spectra consistently yielded structure bundles of high quality for direct deposition in the Protein Data Bank. In conclusion, the results obtained in CASD-NMR 2 are another vital proof for robust, accurate and unsupervised NMR data analysis by UNIO for real-world applications.

  14. CASD-NMR 2: robust and accurate unsupervised analysis of raw NOESY spectra and protein structure determination with UNIO

    UNIO is a comprehensive software suite for protein NMR structure determination that enables full automation of all NMR data analysis steps involved—including signal identification in NMR spectra, sequence-specific backbone and side-chain resonance assignment, NOE assignment and structure calculation. Within the framework of the second round of the community-wide stringent blind NMR structure determination challenge (CASD-NMR 2), we participated in two categories of CASD-NMR 2, namely using either raw NMR spectra or unrefined NOE peak lists as input. A total of 15 resulting NMR structure bundles were submitted for 9 out of 10 blind protein targets. All submitted UNIO structures accurately coincided with the corresponding blind targets as documented by an average backbone root mean-square deviation to the reference proteins of only 1.2 Å. Also, the precision of the UNIO structure bundles was virtually identical to the ensemble of reference structures. By assessing the quality of all UNIO structures submitted to the two categories, we find throughout that only the UNIO–ATNOS/CANDID approach using raw NMR spectra consistently yielded structure bundles of high quality for direct deposition in the Protein Data Bank. In conclusion, the results obtained in CASD-NMR 2 are another vital proof for robust, accurate and unsupervised NMR data analysis by UNIO for real-world applications

  15. Automated Selected Reaction Monitoring Software for Accurate Label-Free Protein Quantification

    Teleman, Johan; Karlsson, Christofer; Waldemarson, Sofia; Hansson, Karin; James, Peter; Malmström, Johan; Levander, Fredrik

    2012-01-01

    Selected reaction monitoring (SRM) is a mass spectrometry method with documented ability to quantify proteins accurately and reproducibly using labeled reference peptides. However, the use of labeled reference peptides becomes impractical if large numbers of peptides are targeted and when high flexibility is desired when selecting peptides. We have developed a label-free quantitative SRM workflow that relies on a new automated algorithm, Anubis, for accurate peak detection. Anubis efficiently...

  16. A scalable and accurate method for classifying protein-ligand binding geometries using a MapReduce approach.

    Estrada, T; Zhang, B; Cicotti, P; Armen, R S; Taufer, M

    2012-07-01

    We present a scalable and accurate method for classifying protein-ligand binding geometries in molecular docking. Our method is a three-step process: the first step encodes the geometry of a three-dimensional (3D) ligand conformation into a single 3D point in the space; the second step builds an octree by assigning an octant identifier to every single point in the space under consideration; and the third step performs an octree-based clustering on the reduced conformation space and identifies the most dense octant. We adapt our method for MapReduce and implement it in Hadoop. The load-balancing, fault-tolerance, and scalability in MapReduce allow screening of very large conformation spaces not approachable with traditional clustering methods. We analyze results for docking trials for 23 protein-ligand complexes for HIV protease, 21 protein-ligand complexes for Trypsin, and 12 protein-ligand complexes for P38alpha kinase. We also analyze cross docking trials for 24 ligands, each docking into 24 protein conformations of the HIV protease, and receptor ensemble docking trials for 24 ligands, each docking in a pool of HIV protease receptors. Our method demonstrates significant improvement over energy-only scoring for the accurate identification of native ligand geometries in all these docking assessments. The advantages of our clustering approach make it attractive for complex applications in real-world drug design efforts. We demonstrate that our method is particularly useful for clustering docking results using a minimal ensemble of representative protein conformational states (receptor ensemble docking), which is now a common strategy to address protein flexibility in molecular docking. PMID:22658682

  17. An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing

    Reijneveld Symen A

    2011-08-01

    Full Text Available Abstract Background Questionnaires used by health services to identify children with psychosocial problems are often rather short. The psychometric properties of such short questionnaires are mostly less than needed for an accurate distinction between children with and without problems. We aimed to assess whether a short Computerized Adaptive Test (CAT can overcome the weaknesses of short written questionnaires when identifying children with psychosocial problems. Method We used a Dutch national data set obtained from parents of children invited for a routine health examination by Preventive Child Healthcare with 205 items on behavioral and emotional problems (n = 2,041, response 84%. In a random subsample we determined which items met the requirements of an Item Response Theory (IRT model to a sufficient degree. Using those items, item parameters necessary for a CAT were calculated and a cut-off point was defined. In the remaining subsample we determined the validity and efficiency of a Computerized Adaptive Test using simulation techniques, with current treatment status and a clinical score on the Total Problem Scale (TPS of the Child Behavior Checklist as criteria. Results Out of 205 items available 190 sufficiently met the criteria of the underlying IRT model. For 90% of the children a score above or below cut-off point could be determined with 95% accuracy. The mean number of items needed to achieve this was 12. Sensitivity and specificity with the TPS as a criterion were 0.89 and 0.91, respectively. Conclusion An IRT-based CAT is a very promising option for the identification of psychosocial problems in children, as it can lead to an efficient, yet high-quality identification. The results of our simulation study need to be replicated in a real-life administration of this CAT.

  18. Applications of graph theory in protein structure identification

    Zhang Shenggui; Yan Yan; Wu Fang-Xiang

    2011-01-01

    Abstract There is a growing interest in the identification of proteins on the proteome wide scale. Among different kinds of protein structure identification methods, graph-theoretic methods are very sharp ones. Due to their lower costs, higher effectiveness and many other advantages, they have drawn more and more researchers’ attention nowadays. Specifically, graph-theoretic methods have been widely used in homology identification, side-chain cluster identification, peptide sequencing and so ...

  19. Identification of ligands for bacterial sensor proteins.

    Fernández, Matilde; Morel, Bertrand; Corral-Lugo, Andrés; Rico-Jiménez, Miriam; Martín-Mora, David; López-Farfán, Diana; Reyes-Darias, José Antonio; Matilla, Miguel A; Ortega, Álvaro; Krell, Tino

    2016-02-01

    Bacteria have evolved a variety of different signal transduction mechanisms. However, the cognate signal molecule for the very large amount of corresponding sensor proteins is unknown and their functional annotation represents a major bottleneck in the field of signal transduction. The knowledge of the signal molecule is an essential prerequisite to understand the signalling mechanisms. Recently, the identification of signal molecules by the high-throughput protein screening of commercially available ligand collections using differential scanning fluorimetry has shown promise to resolve this bottleneck. Based on the analysis of a significant number of different ligand binding domains (LBDs) in our laboratory, we identified two issues that need to be taken into account in the experimental design. Since a number of LBDs require the dimeric state for ligand recognition, it has to be assured that the protein analysed is indeed in the dimeric form. A number of other examples demonstrate that purified LBDs can contain bound ligand which prevents further binding. In such cases, the apo-form can be generated by denaturation and subsequent refolding. We are convinced that this approach will accelerate the functional annotation of sensor proteins which will help to understand regulatory circuits in bacteria. PMID:26511375

  20. Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models

    Stovgaard Kasper

    2010-08-01

    Full Text Available Abstract Background Genome sequencing projects have expanded the gap between the amount of known protein sequences and structures. The limitations of current high resolution structure determination methods make it unlikely that this gap will disappear in the near future. Small angle X-ray scattering (SAXS is an established low resolution method for routinely determining the structure of proteins in solution. The purpose of this study is to develop a method for the efficient calculation of accurate SAXS curves from coarse-grained protein models. Such a method can for example be used to construct a likelihood function, which is paramount for structure determination based on statistical inference. Results We present a method for the efficient calculation of accurate SAXS curves based on the Debye formula and a set of scattering form factors for dummy atom representations of amino acids. Such a method avoids the computationally costly iteration over all atoms. We estimated the form factors using generated data from a set of high quality protein structures. No ad hoc scaling or correction factors are applied in the calculation of the curves. Two coarse-grained representations of protein structure were investigated; two scattering bodies per amino acid led to significantly better results than a single scattering body. Conclusion We show that the obtained point estimates allow the calculation of accurate SAXS curves from coarse-grained protein models. The resulting curves are on par with the current state-of-the-art program CRYSOL, which requires full atomic detail. Our method was also comparable to CRYSOL in recognizing native structures among native-like decoys. As a proof-of-concept, we combined the coarse-grained Debye calculation with a previously described probabilistic model of protein structure, TorusDBN. This resulted in a significant improvement in the decoy recognition performance. In conclusion, the presented method shows great promise for

  1. Accurate identification and compensation of geometric errors of 5-axis CNC machine tools using double ball bar

    Lasemi, Ali; Xue, Deyi; Gu, Peihua

    2016-05-01

    Five-axis CNC machine tools are widely used in manufacturing of parts with free-form surfaces. Geometric errors of machine tools have significant effects on the quality of manufactured parts. This research focuses on development of a new method to accurately identify geometric errors of 5-axis CNC machines, especially the errors due to rotary axes, using the magnetic double ball bar. A theoretical model for identification of geometric errors is provided. In this model, both position-independent errors and position-dependent errors are considered as the error sources. This model is simplified by identification and removal of the correlated and insignificant error sources of the machine. Insignificant error sources are identified using the sensitivity analysis technique. Simulation results reveal that the simplified error identification model can result in more accurate estimations of the error parameters. Experiments on a 5-axis CNC machine tool also demonstrate significant reduction in the volumetric error after error compensation.

  2. Highly ordered protein nanorings designed by accurate control of glutathione S-transferase self-assembly.

    Bai, Yushi; Luo, Quan; Zhang, Wei; Miao, Lu; Xu, Jiayun; Li, Hongbin; Liu, Junqiu

    2013-07-31

    Protein self-assembly into exquisite, complex, yet highly ordered architectures represents the supreme wisdom of nature. However, precise manipulation of protein self-assembly behavior in vitro is a great challenge. Here we report that by taking advantage of the cooperation of metal-ion-chelating interactions and nonspecific protein-protein interactions, we achieved accurate control of the orientation of proteins and their self-assembly into protein nanorings. As a building block, we utilized the C2-symmetric protein sjGST-2His, a variant of glutathione S-transferase from Schistosoma japonicum having two properly oriented His metal-chelating sites on the surface. Through synergic metal-coordination and non-covalent interactions, sjGST-2His self-assembled in a fixed bending manner to form highly ordered protein nanorings. The diameters of the nanorings can be regulated by tuning the strength of the non-covalent interaction network between sjGST-2His interfaces through variation of the ionic strength of the solution. This work provides a de novo design strategy that can be applied in the construction of novel protein superstructures. PMID:23865524

  3. Applications of graph theory in protein structure identification.

    Yan, Yan; Zhang, Shenggui; Wu, Fang-Xiang

    2011-01-01

    There is a growing interest in the identification of proteins on the proteome wide scale. Among different kinds of protein structure identification methods, graph-theoretic methods are very sharp ones. Due to their lower costs, higher effectiveness and many other advantages, they have drawn more and more researchers' attention nowadays. Specifically, graph-theoretic methods have been widely used in homology identification, side-chain cluster identification, peptide sequencing and so on. This paper reviews several methods in solving protein structure identification problems using graph theory. We mainly introduce classical methods and mathematical models including homology modeling based on clique finding, identification of side-chain clusters in protein structures upon graph spectrum, and de novo peptide sequencing via tandem mass spectrometry using the spectrum graph model. In addition, concluding remarks and future priorities of each method are given. PMID:22165974

  4. PconsD: ultra rapid, accurate model quality assessment for protein structure prediction

    Skwark, M. J.; Elofsson, A.

    2013-01-01

    Clustering methods are often needed for accurately assessing the quality of modeled protein structures. Recent blind evaluation of quality assessment methods in CASP10 showed that there is very little difference between many different methods as far as ranking models and selecting best model are concerned. When comparing many models the computational cost of the model comparison can become significant. Here, we present PconsD, a very fast, stream-computing method for distance-driven model qua...

  5. Fast and accurate protein substructure searching with simulated annealing and GPUs

    Stivala Alex D

    2010-09-01

    Full Text Available Abstract Background Searching a database of protein structures for matches to a query structure, or occurrences of a structural motif, is an important task in structural biology and bioinformatics. While there are many existing methods for structural similarity searching, faster and more accurate approaches are still required, and few current methods are capable of substructure (motif searching. Results We developed an improved heuristic for tableau-based protein structure and substructure searching using simulated annealing, that is as fast or faster and comparable in accuracy, with some widely used existing methods. Furthermore, we created a parallel implementation on a modern graphics processing unit (GPU. Conclusions The GPU implementation achieves up to 34 times speedup over the CPU implementation of tableau-based structure search with simulated annealing, making it one of the fastest available methods. To the best of our knowledge, this is the first application of a GPU to the protein structural search problem.

  6. Accurate refinement of docked protein complexes using evolutionary information and deep learning.

    Akbal-Delibas, Bahar; Farhoodi, Roshanak; Pomplun, Marc; Haspel, Nurit

    2016-06-01

    One of the major challenges for protein docking methods is to accurately discriminate native-like structures from false positives. Docking methods are often inaccurate and the results have to be refined and re-ranked to obtain native-like complexes and remove outliers. In a previous work, we introduced AccuRefiner, a machine learning based tool for refining protein-protein complexes. Given a docked complex, the refinement tool produces a small set of refined versions of the input complex, with lower root-mean-square-deviation (RMSD) of atomic positions with respect to the native structure. The method employs a unique ranking tool that accurately predicts the RMSD of docked complexes with respect to the native structure. In this work, we use a deep learning network with a similar set of features and five layers. We show that a properly trained deep learning network can accurately predict the RMSD of a docked complex with 1.40 Å error margin on average, by approximating the complex relationship between a wide set of scoring function terms and the RMSD of a docked structure. The network was trained on 35000 unbound docking complexes generated by RosettaDock. We tested our method on 25 different putative docked complexes produced also by RosettaDock for five proteins that were not included in the training data. The results demonstrate that the high accuracy of the ranking tool enables AccuRefiner to consistently choose the refinement candidates with lower RMSD values compared to the coarsely docked input structures. PMID:26846813

  7. Hash: a program to accurately predict protein H{sup {alpha}} shifts from neighboring backbone shifts

    Zeng Jianyang, E-mail: zengjy@gmail.com [Tsinghua University, Institute for Interdisciplinary Information Sciences (China); Zhou Pei [Duke University Medical Center, Department of Biochemistry (United States); Donald, Bruce Randall [Duke University, Department of Computer Science (United States)

    2013-01-15

    Chemical shifts provide not only peak identities for analyzing nuclear magnetic resonance (NMR) data, but also an important source of conformational information for studying protein structures. Current structural studies requiring H{sup {alpha}} chemical shifts suffer from the following limitations. (1) For large proteins, the H{sup {alpha}} chemical shifts can be difficult to assign using conventional NMR triple-resonance experiments, mainly due to the fast transverse relaxation rate of C{sup {alpha}} that restricts the signal sensitivity. (2) Previous chemical shift prediction approaches either require homologous models with high sequence similarity or rely heavily on accurate backbone and side-chain structural coordinates. When neither sequence homologues nor structural coordinates are available, we must resort to other information to predict H{sup {alpha}} chemical shifts. Predicting accurate H{sup {alpha}} chemical shifts using other obtainable information, such as the chemical shifts of nearby backbone atoms (i.e., adjacent atoms in the sequence), can remedy the above dilemmas, and hence advance NMR-based structural studies of proteins. By specifically exploiting the dependencies on chemical shifts of nearby backbone atoms, we propose a novel machine learning algorithm, called Hash, to predict H{sup {alpha}} chemical shifts. Hash combines a new fragment-based chemical shift search approach with a non-parametric regression model, called the generalized additive model, to effectively solve the prediction problem. We demonstrate that the chemical shifts of nearby backbone atoms provide a reliable source of information for predicting accurate H{sup {alpha}} chemical shifts. Our testing results on different possible combinations of input data indicate that Hash has a wide rage of potential NMR applications in structural and biological studies of proteins.

  8. Biochip System for Rapid and Accurate Identification of Mycobacterial Species from Isolates and Sputum▿

    Zhu, Lingxiang; Jiang, Guanglu; Wang, Shengfen; Wang, Can; Li, Qiang; Yu, Hao; Zhou, Yang; Zhao, Bing; Huang, Hairong; Xing, Wanli; Mitchelson, Keith; Cheng, Jing; Zhao, Yanlin; Guo, Yong

    2010-01-01

    The accurate detection of mycobacterial species from isolates and clinical samples is important for pathogenic diagnosis and treatment and for disease control. There is an urgent need for the development of a rapid, simple, and accurate detection method. We established a biochip assay system, including a biochip, sample preparation apparatus, hybridization instrument, chip washing machine, and laser confocal scanner equipped with interpretation software for automatic diagnosis. The biochip si...

  9. Seed Storage Proteins as a System for Teaching Protein Identification by Mass Spectrometry in Biochemistry Laboratory

    Wilson, Karl A.; Tan-Wilson, Anna

    2013-01-01

    Mass spectrometry (MS) has become an important tool in studying biological systems. One application is the identification of proteins and peptides by the matching of peptide and peptide fragment masses to the sequences of proteins in protein sequence databases. Often prior protein separation of complex protein mixtures by 2D-PAGE is needed,…

  10. Accurate mass filtering of ion chromatograms for metabolite identification using a unit mass resolution liquid chromatography/mass spectrometry system.

    Gu, Ming; Wang, Yongdong; Zhao, Xian-Guo; Gu, Zhe-Ming

    2006-01-01

    Acceleration of liquid chromatography/mass spectrometric (LC/MS) analysis for metabolite identification critically relies on effective data processing since the rate of data acquisition is much faster than the rate of data mining. The rapid and accurate identification of metabolite peaks from complex LC/MS data is a key component to speeding up the process. Current approaches routinely use selected ion chromatograms that can suffer severely from matrix effects. This paper describes a new method to automatically extract and filter metabolite-related information from LC/MS data obtained at unit mass resolution in the presence of complex biological matrices. This approach is illustrated by LC/MS analysis of the metabolites of verapamil from a rat microsome incubation spiked with biological matrix (bile). MS data were acquired in profile mode on a unit mass resolution triple-quadrupole instrument, externally calibrated using a unique procedure that corrects for both mass axis and mass spectral peak shape to facilitate metabolite identification with high mass accuracy. Through the double-filtering effects of accurate mass and isotope profile, conventional extracted ion chromatograms corresponding to the parent drug (verapamil at m/z 455), demethylated verapamil (m/z 441), and dealkylated verapamil (m/z 291), that contained substantial false-positive peaks, were simplified into chromatograms that are substantially free from matrix interferences. These filtered chromatograms approach what would have been obtained by using a radioactivity detector to detect radio-labeled metabolites of interest. PMID:16463359

  11. Rapid and accurate prediction and scoring of water molecules in protein binding sites.

    Gregory A Ross

    Full Text Available Water plays a critical role in ligand-protein interactions. However, it is still challenging to predict accurately not only where water molecules prefer to bind, but also which of those water molecules might be displaceable. The latter is often seen as a route to optimizing affinity of potential drug candidates. Using a protocol we call WaterDock, we show that the freely available AutoDock Vina tool can be used to predict accurately the binding sites of water molecules. WaterDock was validated using data from X-ray crystallography, neutron diffraction and molecular dynamics simulations and correctly predicted 97% of the water molecules in the test set. In addition, we combined data-mining, heuristic and machine learning techniques to develop probabilistic water molecule classifiers. When applied to WaterDock predictions in the Astex Diverse Set of protein ligand complexes, we could identify whether a water molecule was conserved or displaced to an accuracy of 75%. A second model predicted whether water molecules were displaced by polar groups or by non-polar groups to an accuracy of 80%. These results should prove useful for anyone wishing to undertake rational design of new compounds where the displacement of water molecules is being considered as a route to improved affinity.

  12. HMM-FRAME: accurate protein domain classification for metagenomic sequences containing frameshift errors

    Sun Yanni

    2011-05-01

    Full Text Available Abstract Background Protein domain classification is an important step in metagenomic annotation. The state-of-the-art method for protein domain classification is profile HMM-based alignment. However, the relatively high rates of insertions and deletions in homopolymer regions of pyrosequencing reads create frameshifts, causing conventional profile HMM alignment tools to generate alignments with marginal scores. This makes error-containing gene fragments unclassifiable with conventional tools. Thus, there is a need for an accurate domain classification tool that can detect and correct sequencing errors. Results We introduce HMM-FRAME, a protein domain classification tool based on an augmented Viterbi algorithm that can incorporate error models from different sequencing platforms. HMM-FRAME corrects sequencing errors and classifies putative gene fragments into domain families. It achieved high error detection sensitivity and specificity in a data set with annotated errors. We applied HMM-FRAME in Targeted Metagenomics and a published metagenomic data set. The results showed that our tool can correct frameshifts in error-containing sequences, generate much longer alignments with significantly smaller E-values, and classify more sequences into their native families. Conclusions HMM-FRAME provides a complementary protein domain classification tool to conventional profile HMM-based methods for data sets containing frameshifts. Its current implementation is best used for small-scale metagenomic data sets. The source code of HMM-FRAME can be downloaded at http://www.cse.msu.edu/~zhangy72/hmmframe/ and at https://sourceforge.net/projects/hmm-frame/.

  13. An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing

    Vogels, Antonius G. C.; Jacobusse, Gert W.; Reijneveld, Symen A.

    2011-01-01

    Background: Questionnaires used by health services to identify children with psychosocial problems are often rather short. The psychometric properties of such short questionnaires are mostly less than needed for an accurate distinction between children with and without problems. We aimed to assess w

  14. Bacteremia with Streptococcus bovis and Streptococcus salivarius: clinical correlates of more accurate identification of isolates.

    Ruoff, K L; Miller, S I; Garner, C V; Ferraro, M J; Calderwood, S B

    1989-01-01

    Two biotypes of Streptococcus bovis can be identified by laboratory testing and can be distinguished from the phenotypically similar organism Streptococcus salivarius. We assessed the clinical relevance of careful identification of these organisms in 68 patients with streptococcal bacteremia caused by these similar species. S. bovis was more likely to be clinically significant when isolated from blood (89%) than was S. salivarius (23%). There was a striking association between S. bovis I bacteremia and underlying endocarditis (94%) compared with that of S. bovis II bacteremia (18%). Bacteremia with S. bovis I was also highly correlated with an underlying colonic neoplasm (71% of patients overall, 100% of those with thorough colonic examinations) compared with bacteremia due to S. bovis II or S. salivarius (17% overall, 25% of patients with thorough colonic examinations). We conclude that careful identification of streptococcal bacteremic isolates as S. bovis biotype I provides clinically important information and should be more widely applied. PMID:2915024

  15. Evaluating Peptide Mass Fingerprinting-based Protein Identification

    Senthilkumar Damodaran; Troy D. Wood; Priyadharsini Nagarajan; Richard A. Rabin

    2007-01-01

    Identification of proteins by mass spectrometry (MS) is an essential step in pro- teomic studies and is typically accomplished by either peptide mass fingerprinting (PMF) or amino acid sequencing of the peptide. Although sequence information from MS/MS analysis can be used to validate PMF-based protein identification, it may not be practical when analyzing a large number of proteins and when high- throughput MS/MS instrumentation is not readily available. At present, a vast majority of proteomic studies employ PMF. However, there are huge disparities in criteria used to identify proteins using PMF. Therefore, to reduce incorrect protein identification using PMF, and also to increase confidence in PMF-based protein identification without accompanying MS/MS analysis, definitive guiding principles are essential. To this end, we propose a value-based scoring system that provides guidance on evaluating when PMF-based protein identification can be deemed sufficient without accompanying amino acid sequence data from MS/MS analysis.

  16. Retrival experience as an accurate indicator of person identification in line-ups

    María José Contreras

    2011-07-01

    Full Text Available Responses in eyewitness identification of a person in a line-up may be based on two types of recovery experiences, remember and know experiences. Remember responses involve eyewitness identification of the target person as an episodic memory task, because it implies retrieving information about the target person in the place and at the time of the event. Know responses, in contrast, engage recognition based on familiarity or perceptual facilitation, that is, as a semantic memory task. To explore the relation between retrieval experiences and recognition accuracy, 86 participants took part in a recognition task with two conditions: one with an interpolated target absent line-up and the other only with the target present line-up. Accuracy of recognition and retrieval experience was measured. The results showed that, having previously participated in a target-absent line-up, increased omissions, while the number of hits decreased. Furthermore, participants’ know responses were associated to false recognition, whilst remember responses were associated to hits in recognition. Thus, asking eyewitnesses to inform about the kind of retrieval experience in which they based their recognition responses, may serve as a reliable indicator of accuracy in recognition. Future studies are needed to investigate whether this is also the case in natural settings.

  17. Application of the antibiotic batumin for accurate and rapid identification of staphylococcal small colony variants

    Churkina Larisa N

    2012-07-01

    Full Text Available Abstract Background Staphylococcus aureus is a major human pathogen causing significant morbidity and mortality. The S. aureus colonies in osteomyelitis, in patients with cystic fibrosis and patients with endoprosthesis rejection frequently have an atypical morphology, i.e. staphylococcal small-colony variants, which form a naturally occurring subpopulation of clinically important staphylococci. Identification of these small colony variants is difficult, because of the loss of typical phenotypic characteristics of these variants. We wanted to improve and simplify the diagnosis of staphylococcal infection using a diagnostic preparation, consisting of 5 μg batumin paper disks. Batumin possesses a unique selective activity against all studied Staphylococcus spp., whereas all other species tested thus far are batumin resistant. We assessed the efficacy of the batumin diagnostic preparation to identify staphylococcal small colony variants, isolated from osteomyelitis patients. Findings With the batumin diagnostic preparation, all 30 tested staphylococcal small-colony variants had a growth inhibition zone around the disk of minimum 25 mm, accordant with the inhibition zones of the parent strains, isolated from the same patients. Conclusions The batumin diagnostic preparation correctly identified the small-colony variants of S. aureus, S. haemolyticus and S. epidermidis as belonging to the genus Staphylococcus, which differ profoundly from parental strains and are difficult to identify with standard methods. Identification of staphylococcal small-colony variants with the batumin diagnostic preparation is technically simple and can facilitate practical laboratory work.

  18. Identification of prokaryotic small proteins using a comparative genomic approach

    Samayoa, Josue; Yildiz, Fitnat H.; Karplus, Kevin

    2011-01-01

    Motivation: Accurate prediction of genes encoding small proteins (on the order of 50 amino acids or less) remains an elusive open problem in bioinformatics. Some of the best methods for gene prediction use either sequence composition analysis or sequence similarity to a known protein coding sequence. These methods often fail for small proteins, however, either due to a lack of experimentally verified small protein coding genes or due to the limited statistical significance of statistics on sm...

  19. Rapid identification of DNA-binding proteins by mass spectrometry

    Nordhoff, E; Krogsdam, A M; Jorgensen, H F;

    1999-01-01

    We report a protocol for the rapid identification of DNA-binding proteins. Immobilized DNA probes harboring a specific sequence motif are incubated with cell or nuclear extract. Proteins are analyzed directly off the solid support by matrix-assisted laser desorption/ionization time-of-flight mass...

  20. A transition radiation detector for RHIC featuring accurate tracking and dE/dx particle identification

    O`Brien, E.; Lissauer, D.; McCorkle, S.; Polychronakos, V.; Takai, H. [Brookhaven National Lab., Upton, NY (United States); Chi, C.Y.; Nagamiya, S.; Sippach, W.; Toy, M.; Wang, D.; Wang, Y.F.; Wiggins, C.; Willis, W. [Columbia Univ., New York, NY (United States); Cherniatin, V.; Dolgoshein, B. [Moscow Institute of Physics and Engineering, (Russian Federation); Bennett, M.; Chikanian, A.; Kumar, S.; Mitchell, J.T.; Pope, K. [Yale Univ., New Haven, CT (United States)

    1991-12-31

    We describe the results of a test ran involving a Transition Radiation Detector that can both distinguish electrons from pions which momenta greater titan 0.7 GeV/c and simultaneously track particles passing through the detector. The particle identification is accomplished through a combination of the detection of Transition Radiation from the electron and the differences in electron and pion energy loss (dE/dx) in the detector. The dE/dx particle separation is most, efficient below 2 GeV/c while particle ID utilizing Transition Radiation effective above 1.5 GeV/c. Combined, the electron-pion separation is-better than 5 {times} 10{sup 2}. The single-wire, track-position resolution for the TRD is {approximately}230 {mu}m.

  1. Accurate prediction of helix interactions and residue contacts in membrane proteins.

    Hönigschmid, Peter; Frishman, Dmitrij

    2016-04-01

    Accurate prediction of intra-molecular interactions from amino acid sequence is an important pre-requisite for obtaining high-quality protein models. Over the recent years, remarkable progress in this area has been achieved through the application of novel co-variation algorithms, which eliminate transitive evolutionary connections between residues. In this work we present a new contact prediction method for α-helical transmembrane proteins, MemConP, in which evolutionary couplings are combined with a machine learning approach. MemConP achieves a substantially improved accuracy (precision: 56.0%, recall: 17.5%, MCC: 0.288) compared to the use of either machine learning or co-evolution methods alone. The method also achieves 91.4% precision, 42.1% recall and a MCC of 0.490 in predicting helix-helix interactions based on predicted contacts. The approach was trained and rigorously benchmarked by cross-validation and independent testing on up-to-date non-redundant datasets of 90 and 30 experimental three dimensional structures, respectively. MemConP is a standalone tool that can be downloaded together with the associated training data from http://webclu.bio.wzw.tum.de/MemConP. PMID:26851352

  2. Dealing with the identification of protein species in ancient amphorae.

    Dallongeville, Sophie; Garnier, Nicolas; Casasola, Dario Bernal; Bonifay, Michel; Rolando, Christian; Tokarski, Caroline

    2011-03-01

    This manuscript deals with the identification of protein residues in amphorae, including particularly identification of protein species. The work described was performed on fishes, the anchovy (Engraulis encrasicolus) and bonito (Sarda sarda) species frequently found in the Mediterranean area. Based on proteomic techniques, the analytical strategy was adapted to analysis of protein residues from tiny ceramic fragments. The major difficulty was to extract proteins and limit their hydrolysis during the sample preparation; consequently, multiple soft extraction techniques were evaluated. The most valuable results were obtained using a solution containing high amounts of denaturing agents, urea and thiourea, reducing agent, dithiothreitol, and detergent, 3-[(3-cholamidopropyl)dimethylammonio]-1-propanesulfonate. The analysis using nano liquid chromatography-nano electrospray ionization double quadrupole time-of-flight mass spectrometry resulted in the identification of up to 200 proteins for the anchovy and bonito species, among which 73 peptides were found to be fish-specific. Because bonito and anchovy species are not documented and fully sequenced in genomic databases, the preliminary protein identification was realized via sequence homology to other fish sequenced species. Amino acid substitutions of peptides were assigned on the basis of the interpretation of tandem mass spectrometry spectra using de novo sequencing; these peptides, not reported up to now in databases, constitute species-specific markers. The method developed was finally applied to an archaeological sample replica impregnated with a mixture of fish tissue from both species; this experiment successfully led to the identification of 17 fish proteins, including 33 fish-specific peptides. This work shows that the analytical method developed has great potential for the identification of protein species in complex archaeological samples. PMID:20890751

  3. Development of Improved Methods for Protein Separation and Identification

    Iskra Sainova; Ilina Valkova; Velichka Pavlova; Elena Nikolova

    2013-01-01

    For identification of proteins, able to connect specifically or non-specifically with peptide SCGN, protein material from RIN-5F rat insulinoma malignant cells and E. coli bacteria strains, both with inserted by transfection with recombinant vectors rat gene SCGN, was isolated. Subsequently, SCGN peptide was isolated, precipitated and incubated with lysates from rat pancreas and brain, known as anatomic organs with highest expression of SCGN gene. For determination of proteins with highest af...

  4. Rapid and Accurate Identification of Animal Species in Natural Leather Goods by Liquid Chromatography/Mass Spectrometry

    Izuchi, Yukari; Takashima, Tsuneo; Hatano, Naoya

    2016-01-01

    The demand for leather goods has grown globally in recent years. Industry revenue is forecast to reach $91.2 billion by 2018. There is an ongoing labelling problem in the leather items market, in that it is currently impossible to identify the species that a given piece of leather is derived from. To address this issue, we developed a rapid and simple method for the specific identification of leather derived from cattle, horses, pigs, sheep, goats, and deer by analysing peptides produced by the trypsin-digestion of proteins contained in leather goods using liquid chromatography/mass spectrometry. We determined species-specific amino acid sequences by liquid chromatography/tandem mass spectrometry analysis using the Mascot software program and demonstrated that collagen α-1(I), collagen α-2(I), and collagen α-1(III) from the dermal layer of the skin are particularly useful in species identification. PMID:27313979

  5. A novel approach for latent print identification using accurate overlays to prioritize reference prints.

    Gantz, Daniel T; Gantz, Donald T; Walch, Mark A; Roberts, Maria Antonia; Buscaglia, JoAnn

    2014-12-01

    A novel approach to automated fingerprint matching and scoring that produces accurate locally and nonlinearly adjusted overlays of a latent print onto each reference print in a corpus is described. The technology, which addresses challenges inherent to latent prints, provides the latent print examiner with a prioritized ranking of candidate reference prints based on the overlays of the latent onto each candidate print. In addition to supporting current latent print comparison practices, this approach can make it possible to return a greater number of AFIS candidate prints because the ranked overlays provide a substantial starting point for latent-to-reference print comparison. To provide the image information required to create an accurate overlay of a latent print onto a reference print, "Ridge-Specific Markers" (RSMs), which correspond to short continuous segments of a ridge or furrow, are introduced. RSMs are reliably associated with any specific local section of a ridge or a furrow using the geometric information available from the image. Latent prints are commonly fragmentary, with reduced clarity and limited minutiae (i.e., ridge endings and bifurcations). Even in the absence of traditional minutiae, latent prints contain very important information in their ridges that permit automated matching using RSMs. No print orientation or information beyond the RSMs is required to generate the overlays. This automated process is applied to the 88 good quality latent prints in the NIST Special Database (SD) 27. Nonlinear overlays of each latent were produced onto all of the 88 reference prints in the NIST SD27. With fully automated processing, the true mate reference prints were ranked in the first candidate position for 80.7% of the latents tested, and 89.8% of the true mate reference prints ranked in the top ten positions. After manual post-processing of those latents for which the true mate reference print was not ranked first, these frequencies increased to 90

  6. Accurate microRNA target prediction correlates with protein repression levels

    Simossis Victor A

    2009-09-01

    Full Text Available Abstract Background MicroRNAs are small endogenously expressed non-coding RNA molecules that regulate target gene expression through translation repression or messenger RNA degradation. MicroRNA regulation is performed through pairing of the microRNA to sites in the messenger RNA of protein coding genes. Since experimental identification of miRNA target genes poses difficulties, computational microRNA target prediction is one of the key means in deciphering the role of microRNAs in development and disease. Results DIANA-microT 3.0 is an algorithm for microRNA target prediction which is based on several parameters calculated individually for each microRNA and combines conserved and non-conserved microRNA recognition elements into a final prediction score, which correlates with protein production fold change. Specifically, for each predicted interaction the program reports a signal to noise ratio and a precision score which can be used as an indication of the false positive rate of the prediction. Conclusion Recently, several computational target prediction programs were benchmarked based on a set of microRNA target genes identified by the pSILAC method. In this assessment DIANA-microT 3.0 was found to achieve the highest precision among the most widely used microRNA target prediction programs reaching approximately 66%. The DIANA-microT 3.0 prediction results are available online in a user friendly web server at http://www.microrna.gr/microT

  7. Protein identification by peptide mass fingerprinting

    Hjernø, Karin

    2007-01-01

      Peptide mass fingerprinting is an effective way of identifying, e.g., gel-separated proteins, by matching experimentally obtained peptide mass data against large databases. However, several factors are known to influence the quality of the resulting matches, such as proteins contaminating the...

  8. Proteomics: Protein Identification Using Online Databases

    Eurich, Chris; Fields, Peter A.; Rice, Elizabeth

    2012-01-01

    Proteomics is an emerging area of systems biology that allows simultaneous study of thousands of proteins expressed in cells, tissues, or whole organisms. We have developed this activity to enable high school or college students to explore proteomic databases using mass spectrometry data files generated from yeast proteins in a college laboratory…

  9. Identification of Osteocyte-Selective Proteins

    Guo, Dayong; Keightley, Andrew; Guthrie, Jill; Veno, Patricia A.; Harris, Stephen E.; Bonewald, Lynda F.

    2010-01-01

    Since little is known regarding osteocytes, cells embedded within the mineralized bone matrix, a proteomics approach was used to discover proteins more highly expressed in osteocytes than in osteoblasts to determine osteocyte specific function. Two proteomic profiles obtained by two different proteomic approaches using total cell lysates from the osteocyte cell line MLO-Y4 and the osteoblast cell line MC3T3 revealed unique differences. Three protein clusters, one related to glycolysis, (Phosp...

  10. Identification of Ina proteins from Fusarium acuminatum

    Scheel, Jan Frederik; Kunert, Anna Theresa; Pöschl, Ulrich; Fröhlich-Nowoisky, Janine

    2015-04-01

    Freezing of water above -36° C is based on ice nucleation activity (INA) mediated by ice nucleators (IN) which can be of various origins. Beside mineral IN, biological particles are a potentially important source of atmospheric IN. The best-known biological IN are common plant-associated bacteria. The IN activity of these bacteria is induced by a surface protein on the outer cell membrane, which is fully characterized. In contrast, much less is known about the nature of fungal IN. The fungal genus Fusarium is widely spread throughout the earth. It belongs to the Ascomycota and is one of the most severe fungal pathogens. It can affect a variety of organisms from plants to animals including humans. INA of Fusarium was already described about 30 years ago and INA of Fusarium as well as other fungal genera is assumed to be mediated by proteins or at least to contain a proteinaceous compound. Although many efforts were made the precise INA machinery of Fusarium and other fungal species including the proteins and their corresponding genes remain unidentified. In this study preparations from living fungal samples of F. acuminatum were fractionated by liquid chromatography and IN active fractions were identified by freezing assays. SDS-page and de novo sequencing by mass spectrometry were used to identify the primary structure of the protein. Preliminary results show that the INA protein of F. acuminatum is contained in the early size exclusion chromatography fractions indicating a high molecular size. Moreover we could identify a single protein band from IN active fractions at 130-145 kDa corresponding to sizes of IN proteins from bacterial species. To our knowledge this is for the first time an isolation of a single protein from in vivo samples, which can be assigned as IN active from Fusarium.

  11. Identification of kinetically hot residues in proteins.

    M. C. Demirel; Atilgan, A. R.; Jernigan, R. L.; Erman, B; Bahar, I

    1998-01-01

    A number of recent studies called attention to the presence of kinetically important residues underlying the formation and stabilization of folding nuclei in proteins, and to the possible existence of a correlation between conserved residues and those participating in the folding nuclei. Here, we use the Gaussian network model (GNM), which recently proved useful in describing the dynamic characteristics of proteins for identifying the kinetically hot residues in folded structures. These are t...

  12. BioID Identification of Lamin-Associated Proteins.

    Mehus, Aaron A; Anderson, Ruthellen H; Roux, Kyle J

    2016-01-01

    A- and B-type lamins support the nuclear envelope, contribute to heterochromatin organization, and regulate a myriad of nuclear processes. The mechanisms by which lamins function in different cell types and the mechanisms by which lamin mutations cause over a dozen human diseases (laminopathies) remain unclear. The identification of proteins associated with lamins is likely to provide fundamental insight into these mechanisms. BioID (proximity-dependent biotin identification) is a unique and powerful method for identifying protein-protein and proximity-based interactions in living cells. BioID utilizes a mutant biotin ligase from bacteria that is fused to a protein of interest (bait). When expressed in living cells and stimulated with excess biotin, this BioID-fusion protein promiscuously biotinylates directly interacting and vicinal endogenous proteins. Following biotin-affinity capture, the biotinylated proteins can be identified using mass spectrometry. BioID thus enables screening for physiologically relevant protein associations that occur over time in living cells. BioID is applicable to insoluble proteins such as lamins that are often refractory to study by other methods and can identify weak and/or transient interactions. We discuss the use of BioID to elucidate novel lamin-interacting proteins and its applications in a broad range of biological systems, and provide detailed protocols to guide new applications. PMID:26778550

  13. Identification and quantitation of signal molecule-dependent protein phosphorylation

    Groen, Arnoud J.

    2013-09-03

    Phosphoproteomics is a fast-growing field that aims at characterizing phosphorylated proteins in a cell or a tissue at a given time. Phosphorylation of proteins is an important regulatory mechanism in many cellular processes. Gel-free phosphoproteome technique involving enrichment of phosphopeptide coupled with mass spectrometry has proven to be invaluable to detect and characterize phosphorylated proteins. In this chapter, a gel-free quantitative approach involving 15N metabolic labelling in combination with phosphopeptide enrichment by titanium dioxide (TiO2) and their identification by MS is described. This workflow can be used to gain insights into the role of signalling molecules such as cyclic nucleotides on regulatory networks through the identification and quantification of responsive phospho(proteins). © Springer Science+Business Media New York 2013.

  14. Identification of stromal proteins overexpressed in nodular sclerosis Hodgkin lymphoma

    de Leval Laurence

    2011-10-01

    Full Text Available Abstract Hodgkin lymphoma (HL represents a category of lymphoid neoplasms with unique features, notably the usual scarcity of tumour cells in involved tissues. The most common subtype of classical HL, nodular sclerosis HL, characteristically comprises abundant fibrous tissue stroma. Little information is available about the protein composition of the stromal environment from HL. Moreover, the identification of valid protein targets, specifically and abundantly expressed in HL, would be of utmost importance for targeted therapies and imaging, yet the biomarkers must necessarily be accessible from the bloodstream. To characterize HL stroma and to identify potentially accessible proteins, we used a chemical proteomic approach, consisting in the labelling of accessible proteins and their subsequent purification and identification by mass spectrometry. We performed an analysis of potentially accessible proteins in lymph node biopsies from HL and reactive lymphoid tissues, and in total, more than 1400 proteins were identified in 7 samples. We have identified several extracellular matrix proteins overexpressed in HL, such as versican, fibulin-1, periostin, and other proteins such as S100-A8. These proteins were validated by immunohistochemistry on a larger series of biopsy samples, and bear the potential to become targets for antibody-based anti-cancer therapies.

  15. Identification of a putative protein profile associating with tamoxifen therapy resistance in breast cancer

    Umar, Arzu; Kang, Hyuk; Timmermans, A. M.; Look, Maxime P.; Meijer-van Gelder, M. E.; den Bakker, Michael A.; Jaitly, Navdeep; Martens, John W.; Luider, Theo M.; Foekens, John A.; Pasa-Tolic, Ljiljana

    2009-06-01

    Tamoxifen-resistance is a major cause of death in patients with recurrent breast cancer. Current clinical factors can correctly predict therapy response in only half of the treated patients. Identification of proteins that associate with tamoxifen-resistance is a first step towards better response prediction and tailored treatment of patients. In the present study we intended to identify putative protein biomarkers indicative of tamoxifen therapy-resistance in breast cancer, using nanoLC coupled with FTICR MS. Comparative proteome analysis was performed on ~5,500 pooled tumor cells (corresponding to ~550 ng protein lysate/analysis) obtained through laser capture microdissection (LCM) from two independently processed data sets (n=24 and n=27) containing both tamoxifen therapy-sensitive and therapy-resistant tumors. Peptides and proteins were identified by matching mass and elution time of newly acquired LC-MS features to information in previously generated accurate mass and time tag (AMT) reference databases.

  16. Identification of essential proteins based on edge clustering coefficient.

    Wang, Jianxin; Li, Min; Wang, Huan; Pan, Yi

    2012-01-01

    Identification of essential proteins is key to understanding the minimal requirements for cellular life and important for drug design. The rapid increase of available protein-protein interaction (PPI) data has made it possible to detect protein essentiality on network level. A series of centrality measures have been proposed to discover essential proteins based on network topology. However, most of them tended to focus only on the location of single protein, but ignored the relevance between interactions and protein essentiality. In this paper, a new centrality measure for identifying essential proteins based on edge clustering coefficient, named as NC, is proposed. Different from previous centrality measures, NC considers both the centrality of a node and the relationship between it and its neighbors. For each interaction in the network, we calculate its edge clustering coefficient. A node’s essentiality is determined by the sum of the edge clustering coefficients of interactions connecting it and its neighbors. The new centrality measure NC takes into account the modular nature of protein essentiality. NC is applied to three different types of yeast protein-protein interaction networks, which are obtained from the DIP database, the MIPS database and the BioGRID database, respectively. The experimental results on the three different networks show that the number of essential proteins discovered by NC universally exceeds that discovered by the six other centrality measures: DC, BC, CC, SC, EC, and IC. Moreover, the essential proteins discovered by NC show significant cluster effect. PMID:22084147

  17. Identification of SUMO target proteins by quantitative proteomics

    Andersen, Jens S; Matic, Ivan; Vertegaal, Alfred C O

    2009-01-01

    , the methodological details of the application of stable isotope labeling of amino acids in cell culture (SILAC) for the identification of target proteins for SUMOs are described. In addition to steady state sumoylation, the sumoylated proteome undergoes dynamic rearrangements in response to a diverse...

  18. DrugScorePPI webserver: fast and accurate in silico alanine scanning for scoring protein–protein interactions

    Krüger, Dennis M; Gohlke, Holger

    2010-01-01

    Protein–protein complexes play key roles in all cellular signal transduction processes. We have developed a fast and accurate computational approach to predict changes in the binding free energy upon alanine mutations in protein–protein interfaces. The approach is based on a knowledge-based scoring function, DrugScorePPI, for which pair potentials were derived from 851 complex structures and adapted against 309 experimental alanine scanning results. Based on this approach, we developed the Dr...

  19. Bioinformatics pipeline for functional identification and characterization of proteins

    Skarzyńska, Agnieszka; Pawełkowicz, Magdalena; Krzywkowski, Tomasz; Świerkula, Katarzyna; PlÄ der, Wojciech; Przybecki, Zbigniew

    2015-09-01

    The new sequencing methods, called Next Generation Sequencing gives an opportunity to possess a vast amount of data in short time. This data requires structural and functional annotation. Functional identification and characterization of predicted proteins could be done by in silico approches, thanks to a numerous computational tools available nowadays. However, there is a need to confirm the results of proteins function prediction using different programs and comparing the results or confirm experimentally. Here we present a bioinformatics pipeline for structural and functional annotation of proteins.

  20. Identification of chikungunya virus interacting proteins in mammalian cells

    Mandar S Paingankar; Vidya A Arankalle

    2014-06-01

    Identification and characterization of virus host interactions is an essential step for the development of novel antiviral strategies. Very few studies have been targeted towards identification of chikungunya virus (CHIKV) interacting host proteins. In current study, virus overlay protein binding assay (VOPBA) and matrix-assisted laser desorption/ionization time of flight analysis (MALDI TOF/TOF) were employed for the identification of CHIKV binding proteins in mammalian cells. HSP70 and actin were identified as virus binding proteins in HEK-293T and Vero-E6 cells, whereas STAT-2 was identified as an additional protein in Vero-E6 cells. Pre-incubation with anti-HSP70 antibody and miRNA silencing of HSP70 significantly reduced the CHIKV production in HEK-293T and Vero-E6 cells at early time points. These results suggest that CHIKV exploits the housekeeping molecules such as actin, HSP70 and STAT-2 to establish infection in the mammalian cells.

  1. Identification of surface proteins in Enterococcus faecalis V583

    Eijsink Vincent GH

    2011-03-01

    Full Text Available Abstract Background Surface 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. Results Using 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. Conclusions The 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.

  2. Identification and Validation of ISG15 Target Proteins.

    Durfee, Larissa A; Huibregtse, Jon M

    2010-01-01

    ISG15 is an interferon-induced ubiquitin-like protein (Ubl) that has antiviral properties. The core E1, E2 and E3 enzymes for conjugation of human ISG15 are Ube1L, UbcH8 and Herc5, all of which are induced at the transcriptional level by Type 1 interferon signaling. Several proteomics studies have, together, identified over 300 cellular proteins as ISG15 targets. These targets include a broad range of constitutively expressed proteins and approximately 15 interferon-induced proteins. This chapter provides an overview of the target identification process and the validation of these targets. We also discuss the limited number of examples where the biochemical effect of ISG15 conjugation on target proteins has been characterized. PMID:21222286

  3. Accurate and rapid identification of the Burkholderia pseudomallei near-neighbour, Burkholderia ubonensis, using real-time PCR.

    Erin P Price

    Full Text Available Burkholderia ubonensis is an environmental bacterium belonging to the Burkholderia cepacia complex (Bcc, a group of genetically related organisms that are associated with opportunistic but generally nonfatal infections in healthy individuals. In contrast, the near-neighbour species Burkholderia pseudomallei causes melioidosis, a disease that can be fatal in up to 95% of cases if left untreated. B. ubonensis is frequently misidentified as B. pseudomallei from soil samples using selective culturing on Ashdown's medium, reflecting both the shared environmental niche and morphological similarities of these species. Additionally, B. ubonensis shows potential as an important biocontrol agent in B. pseudomallei-endemic regions as certain strains possess antagonistic properties towards B. pseudomallei. Current methods for characterising B. ubonensis are laborious, time-consuming and costly, and as such this bacterium remains poorly studied. The aim of our study was to develop a rapid and inexpensive real-time PCR-based assay specific for B. ubonensis. We demonstrate that a novel B. ubonensis-specific assay, Bu550, accurately differentiates B. ubonensis from B. pseudomallei and other species that grow on selective Ashdown's agar. We anticipate that Bu550 will catalyse research on B. ubonensis by enabling rapid identification of this organism from Ashdown's-positive colonies that are not B. pseudomallei.

  4. Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes.

    Jiawei Luo

    Full Text Available Computational approaches aided by computer science have been used to predict essential proteins and are faster than expensive, time-consuming, laborious experimental approaches. However, the performance of such approaches is still poor, making practical applications of computational approaches difficult in some fields. Hence, the development of more suitable and efficient computing methods is necessary for identification of essential proteins.In this paper, we propose a new method for predicting essential proteins in a protein interaction network, local interaction density combined with protein complexes (LIDC, based on statistical analyses of essential proteins and protein complexes. First, we introduce a new local topological centrality, local interaction density (LID, of the yeast PPI network; second, we discuss a new integration strategy for multiple bioinformatics. The LIDC method was then developed through a combination of LID and protein complex information based on our new integration strategy. The purpose of LIDC is discovery of important features of essential proteins with their neighbors in real protein complexes, thereby improving the efficiency of identification.Experimental results based on three different PPI(protein-protein interaction networks of Saccharomyces cerevisiae and Escherichia coli showed that LIDC outperformed classical topological centrality measures and some recent combinational methods. Moreover, when predicting MIPS datasets, the better improvement of performance obtained by LIDC is over all nine reference methods (i.e., DC, BC, NC, LID, PeC, CoEWC, WDC, ION, and UC.LIDC is more effective for the prediction of essential proteins than other recently developed methods.

  5. Accurate prediction of interfacial residues in two-domain proteins using evolutionary information: implications for three-dimensional modeling.

    Bhaskara, Ramachandra M; Padhi, Amrita; Srinivasan, Narayanaswamy

    2014-07-01

    With the preponderance of multidomain proteins in eukaryotic genomes, it is essential to recognize the constituent domains and their functions. Often function involves communications across the domain interfaces, and the knowledge of the interacting sites is essential to our understanding of the structure-function relationship. Using evolutionary information extracted from homologous domains in at least two diverse domain architectures (single and multidomain), we predict the interface residues corresponding to domains from the two-domain proteins. We also use information from the three-dimensional structures of individual domains of two-domain proteins to train naïve Bayes classifier model to predict the interfacial residues. Our predictions are highly accurate (∼85%) and specific (∼95%) to the domain-domain interfaces. This method is specific to multidomain proteins which contain domains in at least more than one protein architectural context. Using predicted residues to constrain domain-domain interaction, rigid-body docking was able to provide us with accurate full-length protein structures with correct orientation of domains. We believe that these results can be of considerable interest toward rational protein and interaction design, apart from providing us with valuable information on the nature of interactions. PMID:24375512

  6. Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding

    Nissley, Daniel A.; Sharma, Ajeet K.; Ahmed, Nabeel; Friedrich, Ulrike A.; Kramer, Günter; Bukau, Bernd; O'Brien, Edward P.

    2016-02-01

    The rates at which domains fold and codons are translated are important factors in determining whether a nascent protein will co-translationally fold and function or misfold and malfunction. Here we develop a chemical kinetic model that calculates a protein domain's co-translational folding curve during synthesis using only the domain's bulk folding and unfolding rates and codon translation rates. We show that this model accurately predicts the course of co-translational folding measured in vivo for four different protein molecules. We then make predictions for a number of different proteins in yeast and find that synonymous codon substitutions, which change translation-elongation rates, can switch some protein domains from folding post-translationally to folding co-translationally--a result consistent with previous experimental studies. Our approach explains essential features of co-translational folding curves and predicts how varying the translation rate at different codon positions along a transcript's coding sequence affects this self-assembly process.

  7. Identification of protein superfamily from structure- based sequence motif

    2002-01-01

    The structure-based sequence motif of the distant proteins in evolution, protein tyrosine phosphatases (PTP) Ⅰ and Ⅱ superfamilies, as an example, has been defined by the structural comparison, structure-based sequence alignment and analyses on substitution patterns of residues in common sequence conserved regions. And the phosphatases Ⅰ and Ⅱ can be correctly identified together by the structure-based PTP sequence motif from SWISS-PROT and TrEBML databases. The results show that the correct rates of identification are over 98%. This is the first time to identify PTP Ⅰ and Ⅱ together by this motif.

  8. VORFFIP-driven dock: V-D2OCK, a fast and accurate protein docking strategy.

    Joan Segura

    Full Text Available The experimental determination of the structure of protein complexes cannot keep pace with the generation of interactomic data, hence resulting in an ever-expanding gap. As the structural details of protein complexes are central to a full understanding of the function and dynamics of the cell machinery, alternative strategies are needed to circumvent the bottleneck in structure determination. Computational protein docking is a valid and valuable approach to model the structure of protein complexes. In this work, we describe a novel computational strategy to predict the structure of protein complexes based on data-driven docking: VORFFIP-driven dock (V-D2OCK. This new approach makes use of our newly described method to predict functional sites in protein structures, VORFFIP, to define the region to be sampled during docking and structural clustering to reduce the number of models to be examined by users. V-D2OCK has been benchmarked using a validated and diverse set of protein complexes and compared to a state-of-art docking method. The speed and accuracy compared to contemporary tools justifies the potential use of VD2OCK for high-throughput, genome-wide, protein docking. Finally, we have developed a web interface that allows users to browser and visualize V-D2OCK predictions from the convenience of their web-browsers.

  9. Machine Learning Identification of Protein Properties Useful for Specific Applications

    Khamis, Abdullah

    2016-03-31

    Proteins play critical roles in cellular processes of living organisms. It is therefore important to identify and characterize their key properties associated with their functions. Correlating protein’s structural, sequence and physicochemical properties of its amino acids (aa) with protein functions could identify some of the critical factors governing the specific functionality. We point out that not all functions of even well studied proteins are known. This, complemented by the huge increase in the number of newly discovered and predicted proteins, makes challenging the experimental characterization of the whole spectrum of possible protein functions for all proteins of interest. Consequently, the use of computational methods has become more attractive. Here we address two questions. The first one is how to use protein aa sequence and physicochemical properties to characterize a family of proteins. The second one focuses on how to use transcription factor (TF) protein’s domains to enhance accuracy of predicting TF DNA binding sites (TFBSs). To address the first question, we developed a novel method using computational representation of proteins based on characteristics of different protein regions (N-terminal, M-region and C-terminal) and combined these with the properties of protein aa sequences. We show that this description provides important biological insight about characterization of the protein functional groups. Using feature selection techniques, we identified key properties of proteins that allow for very accurate characterization of different protein families. We demonstrated efficiency of our method in application to a number of antimicrobial peptide families. To address the second question we developed another novel method that uses a combination of aa properties of DNA binding domains of TFs and their TFBS properties to develop machine learning models for predicting TFBSs. Feature selection is used to identify the most relevant characteristics

  10. Identification of Tobacco Topping Responsive Proteins in Roots

    Hongxiang eGuo

    2016-04-01

    Full Text Available Tobacco plant has many responses to topping, such as the increase in ability of nicotine synthesis and secondary growth of roots. Some topping responsive miRNAs and genes had been identified in our previous work, but it is not enough to elaborate mechanism of tobacco response to topping. Here, topping responsive proteins were screened from tobacco roots with two-dimensional electrophoresis. Of these proteins, calretulin (CRT and Auxin-responsive protein IAA9 were related to the secondary growth of roots, LRR disease resistance, heat shock protein 70 and farnesyl pyrophosphate synthase 1(FPPS)were involved in wounding stress response, and F-box protein played an important role in promoting the ability of nicotine synthesis after topping. In addition, there were five tobacco bHLH proteins (NtbHLH, NtMYC1a, NtMYC1b, NtMYC2a and NtMYC2b related to nicotine synthesis. It was suggested that NtMYC2 might be the main positive transcription factor and NtbHLH protein is a negative regulator in the JA-mediating activation of nicotine synthesis after topping. Tobacco topping activates some comprehensive biology processes involving IAA and JA signaling pathway, and the identification of these proteins will be helpful to understand the process of topping response.

  11. Identification of novel CBP interacting proteins in embryonic orofacial tissue

    cAMP response element-binding protein (CREB)-binding protein (CBP) plays an important role as a general co-integrator of multiple signaling pathways and interacts with a large number of transcription factors and co-factors, through its numerous protein-binding domains. To identify nuclear factors associated with CBP in developing orofacial tissue, a yeast two-hybrid screen of a cDNA library derived from orofacial tissue from gestational day 11 to 13 mouse embryos was conducted. Using the carboxy terminus (amino acid residues 1676-2441) of CBP as bait, several novel proteins that bind CBP were identified, including an Msx-interacting-zinc finger protein, CDC42 interaction protein 4/thyroid hormone receptor interactor 10, SH3-domain GRB2-like 1, CCR4-NOT transcription complex subunit 3, adaptor protein complex AP-1 β1 subunit, eukaryotic translation initiation factor 2B subunit 1 (α), and cyclin G-associated kinase. Results of the yeast two-hybrid screen were confirmed by glutathione S-transferase pull-down assays. The identification of these proteins as novel CBP-binding partners allows exploration of new mechanisms by which CBP regulates and integrates diverse cell signaling pathways

  12. Are current atomistic force fields accurate enough to study proteins in crowded environments?

    Drazen Petrov

    2014-05-01

    Full Text Available The high concentration of macromolecules in the crowded cellular interior influences different thermodynamic and kinetic properties of proteins, including their structural stabilities, intermolecular binding affinities and enzymatic rates. Moreover, various structural biology methods, such as NMR or different spectroscopies, typically involve samples with relatively high protein concentration. Due to large sampling requirements, however, the accuracy of classical molecular dynamics (MD simulations in capturing protein behavior at high concentration still remains largely untested. Here, we use explicit-solvent MD simulations and a total of 6.4 µs of simulated time to study wild-type (folded and oxidatively damaged (unfolded forms of villin headpiece at 6 mM and 9.2 mM protein concentration. We first perform an exhaustive set of simulations with multiple protein molecules in the simulation box using GROMOS 45a3 and 54a7 force fields together with different types of electrostatics treatment and solution ionic strengths. Surprisingly, the two villin headpiece variants exhibit similar aggregation behavior, despite the fact that their estimated aggregation propensities markedly differ. Importantly, regardless of the simulation protocol applied, wild-type villin headpiece consistently aggregates even under conditions at which it is experimentally known to be soluble. We demonstrate that aggregation is accompanied by a large decrease in the total potential energy, with not only hydrophobic, but also polar residues and backbone contributing substantially. The same effect is directly observed for two other major atomistic force fields (AMBER99SB-ILDN and CHARMM22-CMAP as well as indirectly shown for additional two (AMBER94, OPLS-AAL, and is possibly due to a general overestimation of the potential energy of protein-protein interactions at the expense of water-water and water-protein interactions. Overall, our results suggest that current MD force fields

  13. Identification of repetitive units in protein structures with ReUPred.

    Hirsh, Layla; Piovesan, Damiano; Paladin, Lisanna; Tosatto, Silvio C E

    2016-06-01

    Over the last decade, numerous studies have demonstrated the fundamental importance of tandem repeat (TR) proteins in many biological processes. A plethora of new repeat structures have also been solved. The recently published RepeatsDB provides information on TR proteins. However, a detailed structural characterization of repetitive elements is largely missing, as repeat unit annotation is manually curated and currently covers only 3 % of the bona fide TR proteins. Repeat Protein Unit Predictor (ReUPred) is a novel method for the fast automatic prediction of repeat units and repeat classification using an extensive Structure Repeat Unit Library (SRUL) derived from RepeatsDB. ReUPred uses an iterative structural search against the SRUL to find repetitive units. On a test set of solenoid proteins, ReUPred is able to correctly detect 92 % of the proteins. Unlike previous methods, it is also able to correctly classify solenoid repeats in 89 % of cases. It also outperforms two recent state-of-the-art methods for the repeat unit identification problem. The accurate prediction of repeat units increases the number of annotated repeat units by an order of magnitude compared to the sequence-based Pfam classification. ReUPred is implemented in Python for Linux and freely available from the URL: http://protein.bio.unipd.it/reupred/ . PMID:26898549

  14. Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models

    Stovgaard Kasper; Andreetta Christian; Ferkinghoff-Borg Jesper; Hamelryck Thomas

    2010-01-01

    Abstract Background Genome sequencing projects have expanded the gap between the amount of known protein sequences and structures. The limitations of current high resolution structure determination methods make it unlikely that this gap will disappear in the near future. Small angle X-ray scattering (SAXS) is an established low resolution method for routinely determining the structure of proteins in solution. The purpose of this study is to develop a method for the efficient calculation of ac...

  15. Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners

    Carlo Baldassi; Marco Zamparo; Christoph Feinauer; Andrea Procaccini; Riccardo Zecchina; Martin Weigt; Andrea Pagnani

    2014-01-01

    International audience In the course of evolution, proteins show a remarkable conservation of their three-dimensional structure and their biological function, leading to strong evolutionary constraints on the sequence variability between homologous proteins. Our method aims at extracting such constraints from rapidly accumulating sequence data, and thereby at inferring protein structure and function from sequence information alone. Recently, global statistical inference methods (e.g. direc...

  16. Mass spectrometry allows direct identification of proteins in large genomes

    Küster, B; Mortensen, Peter V.; Andersen, Jens S.;

    2001-01-01

    Proteome projects seek to provide systematic functional analysis of the genes uncovered by genome sequencing initiatives. Mass spectrometric protein identification is a key requirement in these studies but to date, database searching tools rely on the availability of protein sequences derived from...... full length cDNA, expressed sequence tags or predicted open reading frames (ORFs) from genomic sequences. We demonstrate here that proteins can be identified directly in large genomic databases using peptide sequence tags obtained by tandem mass spectrometry. On the background of vast amounts of...... noncoding DNA sequence, identified peptides localize coding sequences (exons) in a confined region of the genome, which contains the cognate gene. The approach does not require prior information about putative ORFs as predicted by computerized gene finding algorithms. The method scales to the complete human...

  17. Identification of potential protein markers of noble rot infected grapes.

    Lorenzini, Marilinda; Millioni, Renato; Franchin, Cinzia; Zapparoli, Giacomo; Arrigoni, Giorgio; Simonato, Barbara

    2015-07-15

    The evaluation of Botrytis cinerea as noble rot on withered grapes is of great importance to predict the wine sensory/organoleptic properties and to manage the winemaking process of Amarone, a passito dry red wine. This report describes the first proteomic analysis of grapes infected by noble rot under withering conditions to identify possible markers of fungal infection. 2-D gel electrophoresis revealed that protein profiles of infected and not infected grape samples are significantly different in terms of number of spots and relative abundance. Protein identification by MS analysis allowed to identify only in infected berries proteins of B. cinerea that represent potential markers of the presence of the fungus in the withered grapes. PMID:25722151

  18. Identification of Candidate Genes related to Bovine Marbling using Protein-Protein Interaction Networks

    Lim, Dajeong; Kim, Nam-Kuk; Park, Hye-Sun; Lee, Seung-Hwan; Cho, Yong-Min; Oh, Sung Jong; Kim, Tae-Hun; Kim, Heebal

    2011-01-01

    Complex traits are determined by the combined effects of many loci and are affected by gene networks or biological pathways. Systems biology approaches have an important role in the identification of candidate genes related to complex diseases or traits at the system level. The present study systemically analyzed genes associated with bovine marbling score and identified their relationships. The candidate nodes were obtained using MedScan text-mining tools and linked by protein-protein intera...

  19. Rapid and accurate processing method for amide proton exchange rate measurement in proteins

    Koskela, Harri [University of Helsinki, Finnish Institute for Verification of the Chemical Weapons Convention (VERIFIN) (Finland)], E-mail: Harri.T.Koskela@helsinki.fi; Heikkinen, Outi; Kilpelaeinen, Ilkka; Heikkinen, Sami [University of Helsinki, Laboratory of Organic Chemistry (Finland)

    2007-04-15

    Exchange between protein backbone amide hydrogen and water gives relevant information about solvent accessibility and protein secondary structure stability. NMR spectroscopy provides a convenient tool to study these dynamic processes with saturation transfer experiments. Processing of this type of NMR spectra has traditionally required peak integration followed by exponential fitting, which can be tedious with large data sets. We propose here a computer-aided method that applies inverse Laplace transform in the exchange rate measurement. With this approach, the determination of exchange rates can be automated, and reliable results can be acquired rapidly without a need for manual processing.

  20. Rapid and accurate processing method for amide proton exchange rate measurement in proteins

    Exchange between protein backbone amide hydrogen and water gives relevant information about solvent accessibility and protein secondary structure stability. NMR spectroscopy provides a convenient tool to study these dynamic processes with saturation transfer experiments. Processing of this type of NMR spectra has traditionally required peak integration followed by exponential fitting, which can be tedious with large data sets. We propose here a computer-aided method that applies inverse Laplace transform in the exchange rate measurement. With this approach, the determination of exchange rates can be automated, and reliable results can be acquired rapidly without a need for manual processing

  1. Development of Improved Methods for Protein Separation and Identification

    Iskra Sainova

    2013-03-01

    Full Text Available For identification of proteins, able to connect specifically or non-specifically with peptide SCGN, protein material from RIN-5F rat insulinoma malignant cells and E. coli bacteria strains, both with inserted by transfection with recombinant vectors rat gene SCGN, was isolated. Subsequently, SCGN peptide was isolated, precipitated and incubated with lysates from rat pancreas and brain, known as anatomic organs with highest expression of SCGN gene. For determination of proteins with highest affinity to this target peptide, from both organs, it was separately mixed with both lysates, and the mixtures were subjected on separation on CNBr-Sepharose and GST-Agarose columns, respectively. GST-Agarose technique indicated some advantages in comparison with CNBr-Sepharose, connected mainly with higher yields of different protein types because of the escaped protein degradation influence of CNBr. The results supported the suggested in our previous studies abilities of protein SCGN to connect with cytoskeleton elements, in confirmation with some literature findings. On this base, a mechanism for indirect influence of this peptide on the control of cell growth and proliferation, has been proposed. Future studies are necessary in this direction

  2. Identification of major immunogenic proteins of Mycoplasma synoviae isolates.

    Bercic, Rebeka Lucijana; Slavec, Brigita; Lavric, Miha; Narat, Mojca; Bidovec, Andrej; Dovc, Peter; Bencina, Dusan

    2008-02-01

    Mycoplasma synoviae isolates differ in patterns of immunogenic proteins, but most of them have not been identified yet. The main aim of this study was their identification in two closely related M. synoviae isolates, ULB 02/P4 and ULB 02/OV6, recovered recently from chickens in Slovenia. N-terminal sequencing identified 17 M. synoviae proteins. Amongst them were 14 major, highly expressed but previously unidentified proteins, including enzymes, chaperones and putative lipoproteins. ULB 02/P4 proteins with increasing molecular weight (M(w)) in the region above the lipoprotein MSPB (approximately 40 kDa) were elongation factor EF-Tu, enolase, NADH oxidase, haemagglutinin MSPA, ATP synthase beta chain, trigger factor, pyruvate kinase and chaperone DnaK. Enolase (approximately 47 kDa) seemed to be immunogenic for chickens infected with M. synoviae, whereas EF-Tu, which might cross-react with antibodies to the P1 adhesin of Mycoplasma pneumoniae, was not. ULB 02/OV6 synthesized several immunogenic proteins and those with M(w) of approximately 70, 78, 82, 90, 110 and 160 kDa, cross-reacted with antibodies to Mycoplasma gallisepticum. They remain to be identified, because besides putative lipoproteins, protein bands of 78, 82, 85 and 110 kDa contained also dehydrogenase PdhD, elongation factor EF-G, enzyme PtsG and putative neuraminidase, respectively. PMID:17720337

  3. Accurate design of megadalton-scale two-component icosahedral protein complexes.

    Bale, Jacob B; Gonen, Shane; Liu, Yuxi; Sheffler, William; Ellis, Daniel; Thomas, Chantz; Cascio, Duilio; Yeates, Todd O; Gonen, Tamir; King, Neil P; Baker, David

    2016-07-22

    Nature provides many examples of self- and co-assembling protein-based molecular machines, including icosahedral protein cages that serve as scaffolds, enzymes, and compartments for essential biochemical reactions and icosahedral virus capsids, which encapsidate and protect viral genomes and mediate entry into host cells. Inspired by these natural materials, we report the computational design and experimental characterization of co-assembling, two-component, 120-subunit icosahedral protein nanostructures with molecular weights (1.8 to 2.8 megadaltons) and dimensions (24 to 40 nanometers in diameter) comparable to those of small viral capsids. Electron microscopy, small-angle x-ray scattering, and x-ray crystallography show that 10 designs spanning three distinct icosahedral architectures form materials closely matching the design models. In vitro assembly of icosahedral complexes from independently purified components occurs rapidly, at rates comparable to those of viral capsids, and enables controlled packaging of molecular cargo through charge complementarity. The ability to design megadalton-scale materials with atomic-level accuracy and controllable assembly opens the door to a new generation of genetically programmable protein-based molecular machines. PMID:27463675

  4. Identification of protein binding in pictorial art Cuban

    In this paper were implemented microanalysis methodologies by histochemical analysis, and infrared spectroscopy to determine the nature of the binder in paintings and Gas Chromatography (GC) coupled to Mass Spectrometry (MS) for identification of protein binders of common use in tempera technique with the aim of having these methods as part of the identification of artistic materials in Cuban cultural heritage carried out by Archaeometry Laboratory of Havana city's Historian Cabinet. The methodologies implemented were evaluated using model samples of traditional painting techniques with variable protein binder: yolk, egg white, casein, nut oil and animal glue; ageing for 5 years. The models samples were correctly identified. It was determined the interference of pigments with the presence of nitrogen by histochemical analysis with Amido Black dye. IR spectroscopy technique allowed to differentiate between oily and mixed (oil plus protein) techniques and tempera with yolk. Oily technique was identified in wall paintings of the New San Francisco church (XIX century) and the Obrapia House (XVII century) and the technique of tempera with animal glue in the polychrome of the XVIII century which represents St. John the Evangelist belonging to the San Juan de Letran church

  5. Method optimization for proteomic analysis of soybean leaf: improvements in identification of new and low-abundance proteins

    Rosilene Oliveira Mesquita

    2012-01-01

    Full Text Available The most critical step in any proteomic study is protein extraction and sample preparation. Better solubilization increases the separation and resolution of gels, allowing identification of a higher number of proteins and more accurate quantitation of differences in gene expression. Despite the existence of published results for the optimization of proteomic analyses of soybean seeds, no comparable data are available for proteomic studies of soybean leaf tissue. In this work we have tested the effects of modification of a TCA-acetone method on the resolution of 2-DE gels of leaves and roots of soybean. Better focusing was obtained when both mercaptoethanol and dithiothreitol were used in the extraction buffer simultaneously. Increasing the number of washes of TCA precipitated protein with acetone, using a final wash with 80% ethanol and using sonication to ressuspend the pellet increased the number of detected proteins as well the resolution of the 2-DE gels. Using this approach we have constructed a soybean protein map. The major group of identified proteins corresponded to genes of unknown function. The second and third most abundant groups of proteins were composed of photosynthesis and metabolism related genes. The resulting protocol improved protein solubility and gel resolution allowing the identification of 122 soybean leaf proteins, 72 of which were not detected in other published soybean leaf 2-DE gel datasets, including a transcription factor and several signaling proteins.

  6. LOCUSTRA: accurate prediction of local protein structure using a two-layer support vector machine approach.

    Zimmermann, Olav; Hansmann, Ulrich H E

    2008-09-01

    Constraint generation for 3d structure prediction and structure-based database searches benefit from fine-grained prediction of local structure. In this work, we present LOCUSTRA, a novel scheme for the multiclass prediction of local structure that uses two layers of support vector machines (SVM). Using a 16-letter structural alphabet from de Brevern et al. (Proteins: Struct., Funct., Bioinf. 2000, 41, 271-287), we assess its prediction ability for an independent test set of 222 proteins and compare our method to three-class secondary structure prediction and direct prediction of dihedral angles. The prediction accuracy is Q16=61.0% for the 16 classes of the structural alphabet and Q3=79.2% for a simple mapping to the three secondary classes helix, sheet, and coil. We achieve a mean phi(psi) error of 24.74 degrees (38.35 degrees) and a median RMSDA (root-mean-square deviation of the (dihedral) angles) per protein chain of 52.1 degrees. These results compare favorably with related approaches. The LOCUSTRA web server is freely available to researchers at http://www.fz-juelich.de/nic/cbb/service/service.php. PMID:18763837

  7. Identification of transcriptional signals in Encephalitozoon cuniculi widespread among Microsporidia phylum: support for accurate structural genome annotation

    Wincker Patrick

    2009-12-01

    Full Text Available Abstract Background Microsporidia are obligate intracellular eukaryotic parasites with genomes ranging in size from 2.3 Mbp to more than 20 Mbp. The extremely small (2.9 Mbp and highly compact (~1 gene/kb genome of the human parasite Encephalitozoon cuniculi has been fully sequenced. The aim of this study was to characterize noncoding motifs that could be involved in regulation of gene expression in E. cuniculi and to show whether these motifs are conserved among the phylum Microsporidia. Results To identify such signals, 5' and 3'RACE-PCR experiments were performed on different E. cuniculi mRNAs. This analysis confirmed that transcription overrun occurs in E. cuniculi and may result from stochastic recognition of the AAUAAA polyadenylation signal. Such experiments also showed highly reduced 5'UTR's (E. cuniculi genes presented a CCC-like motif immediately upstream from the coding start. To characterize other signals involved in differential transcriptional regulation, we then focused our attention on the gene family coding for ribosomal proteins. An AAATTT-like signal was identified upstream from the CCC-like motif. In rare cases the cytosine triplet was shown to be substituted by a GGG-like motif. Comparative genomic studies confirmed that these different signals are also located upstream from genes encoding ribosomal proteins in other microsporidian species including Antonospora locustae, Enterocytozoon bieneusi, Anncaliia algerae (syn. Brachiola algerae and Nosema ceranae. Based on these results a systematic analysis of the ~2000 E. cuniculi coding DNA sequences was then performed and brings to highlight that 364 translation initiation codons (18.29% of total CDSs had been badly predicted. Conclusion We identified various signals involved in the maturation of E. cuniculi mRNAs. Presence of such signals, in phylogenetically distant microsporidian species, suggests that a common regulatory mechanism exists among the microsporidia. Furthermore

  8. Identification of Inhibitors of Biological Interactions Involving Intrinsically Disordered Proteins

    Daniela Marasco

    2015-04-01

    Full Text Available Protein–protein interactions involving disordered partners have unique features and represent prominent targets in drug discovery processes. Intrinsically Disordered Proteins (IDPs are involved in cellular regulation, signaling and control: they bind to multiple partners and these high-specificity/low-affinity interactions play crucial roles in many human diseases. Disordered regions, terminal tails and flexible linkers are particularly abundant in DNA-binding proteins and play crucial roles in the affinity and specificity of DNA recognizing processes. Protein complexes involving IDPs are short-lived and typically involve short amino acid stretches bearing few “hot spots”, thus the identification of molecules able to modulate them can produce important lead compounds: in this scenario peptides and/or peptidomimetics, deriving from structure-based, combinatorial or protein dissection approaches, can play a key role as hit compounds. Here, we propose a panoramic review of the structural features of IDPs and how they regulate molecular recognition mechanisms focusing attention on recently reported drug-design strategies in the field of IDPs.

  9. Identification of Proteins that Modify Cataract of the Eye Lens

    Hoehenwarter, Wolfgang; Tang, Yajun; Ackermann, Renate; Pleissner, Klaus-Peter; Schmid, Monika; Stein, Robert; Zimny-Arndt, Ursula; Kumar, Nalin M.; Jungblut, Peter R.

    2010-01-01

    The occurrence of a nuclear cataract in the eye lens due to disruption of theα3Cx46 connexin gene, Gja3, is dependent on strain background in a mouse model, implicating factors that modify the pathology. The differences upon cataractogenesis in the urea soluble proteins of the lens of two mouse strains, C57BL/6J and 129/SvJ, were analyzed by a comparative proteomics approach. Determination of the complete proteome of an organ offers the opportunity to characterize at a molecular level, differences in gene expression and post-translational modifications occurring during pathology and between individuals. The abundance of 63 protein species was altered between the strains. A unique aspect of this study is the identification of chaperonin subunit 6A, mortalin, ERp29 and syntaxin binding protein 6 in the eye lens. DNA polymorphisms resulting in non-conservative amino acid changes that led to altered physicochemical properties of the proteins were detected for mortalin, chaperonin subunit 6A, annexin A1 and possibly gamma N crystallin. The results show HSP27/25 and/or ERp29 are the likely major modifying factors for cataractogenesis. Extension of the results suggests that small heat shock proteins have a major role for influencing cataract formation in humans. PMID:19003866

  10. Urinary Excretion of Liver Type Fatty Acid Binding Protein Accurately Reflects the Degree of Tubulointerstitial Damage

    Yokoyama, Takeshi; Kamijo-Ikemori, Atsuko; Sugaya, Takeshi; Hoshino, Seiko; Yasuda, Takashi; Kimura, Kenjiro

    2009-01-01

    To investigate the relationship between liver-type fatty acid-binding protein (L-FABP), a biomarker of chronic kidney disease, in the kidney and the degree of tubulointerstitial damage, folic acid (FA)-induced nephropathy was studied in a mouse model system. As renal L-FABP is not expressed in wild-type mice, human L-FABP (hL-FABP) transgenic mice were used in this study. hL-FABP is expressed in the renal proximal tubules of the transgenic mice that were injected intraperitoneally with FA in ...

  11. Phytochip: Development of a DNA-microarray for rapid and accurate identification of Pseudo-nitzschia spp and other harmful algal species

    Noyer, Charlotte; Abot, Anne; Trouilh, Lidwine; Leberre, Veronique Anton; Dreanno, Catherine

    2015-01-01

    Detection of harmful algal blooms has become a challenging concern because of to the direct impacts on public health and economy. The identification of toxic dinoflagellates and diatoms in monitoring programs requires an extensive taxonomic expertise and is time consuming. Advances in molecular biology have allowed the development of new approaches, more rapid, accurate and cost-effective for detecting these microorganisms. In this context, we developed a new DNA microarray (called, Phytochip...

  12. Identification and evaluation of new reference genes in Gossypium hirsutum for accurate normalization of real-time quantitative RT-PCR data

    Alves-Ferreira Marcio; Grossi-de-Sa Maria; Brilhante Osmundo; Nardeli Sarah M; Artico Sinara

    2010-01-01

    Abstract Background Normalizing through reference genes, or housekeeping genes, can make more accurate and reliable results from reverse transcription real-time quantitative polymerase chain reaction (qPCR). Recent studies have shown that no single housekeeping gene is universal for all experiments. Thus, suitable reference genes should be the first step of any qPCR analysis. Only a few studies on the identification of housekeeping gene have been carried on plants. Therefore qPCR studies on i...

  13. Identification and characterization of N-glycosylated proteins using proteomics

    Selby, David S; Larsen, Martin R; Calvano, Cosima Damiana; Jensen, Ole Nørregaard

    2008-01-01

    complex task and is currently achieved by mass spectrometry-based methods that enable identification of glycoproteins and localization, classification, and analysis of individual glycan structures on proteins. In this chapter we briefly introduce a range of analytical technologies for recovery and...... analysis of glycoproteins and glycopeptides. Combinations of affinity-enrichment techniques, chemical and biochemical protocols, and advanced mass spectrometry facilitate detailed glycoprotein analysis in proteomics, from fundamental biological studies to biomarker discovery in biomedicine.......Glycoproteins constitute a large fraction of the proteome. The fundamental role of protein glycosylation in cellular development, growth, and differentiation, tissue development, and in host-pathogen interactions is by now widely accepted. Proteome-wide characterization of glycoproteins is a...

  14. HEASARC Astronomical Archive: GLIESE2MAS - Gliese Catalog Stars with Accurate Coordinates and 2MASS Cross-Identifications

    National Aeronautics and Space Administration — This table contains precise epoch 2000 coordinates and cross-identifications to sources in the 2MASS Point Source Catalog for nearly all stars in the Gliese,...

  15. Improved Identification and Relative Quantification of Sites of Peptide and Protein Oxidation for Hydroxyl Radical Footprinting

    Li, Xiaoyan; Li, Zixuan; Xie, Boer; Sharp, Joshua S.

    2013-11-01

    Protein oxidation is typically associated with oxidative stress and aging and affects protein function in normal and pathological processes. Additionally, deliberate oxidative labeling is used to probe protein structure and protein-ligand interactions in hydroxyl radical protein footprinting (HRPF). Oxidation often occurs at multiple sites, leading to mixtures of oxidation isomers that differ only by the site of modification. We utilized sets of synthetic, isomeric "oxidized" peptides to test and compare the ability of electron-transfer dissociation (ETD) and collision-induced dissociation (CID), as well as nano-ultra high performance liquid chromatography (nanoUPLC) separation, to quantitate oxidation isomers with one oxidation at multiple adjacent sites in mixtures of peptides. Tandem mass spectrometry by ETD generates fragment ion ratios that accurately report on relative oxidative modification extent on specific sites, regardless of the charge state of the precursor ion. Conversely, CID was found to generate quantitative MS/MS product ions only at the higher precursor charge state. Oxidized isomers having multiple sites of oxidation in each of two peptide sequences in HRPF product of protein Robo-1 Ig1-2, a protein involved in nervous system axon guidance, were also identified and the oxidation extent at each residue was quantified by ETD without prior liquid chromatography (LC) separation. ETD has proven to be a reliable technique for simultaneous identification and relative quantification of a variety of functionally different oxidation isomers, and is a valuable tool for the study of oxidative stress, as well as for improving spatial resolution for HRPF studies.

  16. Seasonal variation in accurate identification of Escherichia coli within a constructed wetland receiving tertiary-treated municipal effluent

    The reuse of municipal wastewater has been escalating worldwide as a means to extend increasingly limited water supplies. With the growth in use of recycled water, accurate monitoring of water quality parameters, including Escherichia coli (E. coli), increases in importance. Chromogenic media, becau...

  17. DNA binding protein identification by combining pseudo amino acid composition and profile-based protein representation

    Liu, Bin; Wang, Shanyi; Wang, Xiaolong

    2015-10-01

    DNA-binding proteins play an important role in most cellular processes. Therefore, it is necessary to develop an efficient predictor for identifying DNA-binding proteins only based on the sequence information of proteins. The bottleneck for constructing a useful predictor is to find suitable features capturing the characteristics of DNA binding proteins. We applied PseAAC to DNA binding protein identification, and PseAAC was further improved by incorporating the evolutionary information by using profile-based protein representation. Finally, Combined with Support Vector Machines (SVMs), a predictor called iDNAPro-PseAAC was proposed. Experimental results on an updated benchmark dataset showed that iDNAPro-PseAAC outperformed some state-of-the-art approaches, and it can achieve stable performance on an independent dataset. By using an ensemble learning approach to incorporate more negative samples (non-DNA binding proteins) in the training process, the performance of iDNAPro-PseAAC was further improved. The web server of iDNAPro-PseAAC is available at http://bioinformatics.hitsz.edu.cn/iDNAPro-PseAAC/.

  18. Template-based identification of protein-protein interfaces using eFindSitePPI.

    Maheshwari, Surabhi; Brylinski, Michal

    2016-01-15

    Protein-protein interactions orchestrate virtually all cellular processes, therefore, their exhaustive exploration is essential for the comprehensive understanding of cellular networks. A reliable identification of interfacial residues is vital not only to infer the function of individual proteins and their assembly into biological complexes, but also to elucidate the molecular and physicochemical basis of interactions between proteins. With the exponential growth of protein sequence data, computational approaches for detecting protein interface sites have drawn an increased interest. In this communication, we discuss the major features of eFindSite(PPI), a recently developed template-based method for interface residue prediction available at http://brylinski.cct.lsu.edu/efindsiteppi. We describe the requirements and installation procedures for the stand-alone version, and explain the content and format of output data. Furthermore, the functionality of the eFindSite(PPI) web application that is designed to provide a simple and convenient access for the scientific community is presented with illustrative examples. Finally, we discuss common problems encountered in predicting protein interfaces and set forth directions for the future development of eFindSite(PPI). PMID:26235816

  19. Identification of hot-spot residues in protein-protein interactions by computational docking

    Fernández-Recio Juan

    2008-10-01

    Full Text Available Abstract Background The study of protein-protein interactions is becoming increasingly important for biotechnological and therapeutic reasons. We can define two major areas therein: the structural prediction of protein-protein binding mode, and the identification of the relevant residues for the interaction (so called 'hot-spots'. These hot-spot residues have high interest since they are considered one of the possible ways of disrupting a protein-protein interaction. Unfortunately, large-scale experimental measurement of residue contribution to the binding energy, based on alanine-scanning experiments, is costly and thus data is fairly limited. Recent computational approaches for hot-spot prediction have been reported, but they usually require the structure of the complex. Results We have applied here normalized interface propensity (NIP values derived from rigid-body docking with electrostatics and desolvation scoring for the prediction of interaction hot-spots. This parameter identifies hot-spot residues on interacting proteins with predictive rates that are comparable to other existing methods (up to 80% positive predictive value, and the advantage of not requiring any prior structural knowledge of the complex. Conclusion The NIP values derived from rigid-body docking can reliably identify a number of hot-spot residues whose contribution to the interaction arises from electrostatics and desolvation effects. Our method can propose residues to guide experiments in complexes of biological or therapeutic interest, even in cases with no available 3D structure of the complex.

  20. Rapid and Accurate Identification by Real-Time PCR of Biotoxin-Producing Dinoflagellates from the Family Gymnodiniaceae

    Kirsty F. Smith

    2014-03-01

    Full Text Available The identification of toxin-producing dinoflagellates for monitoring programmes and bio-compound discovery requires considerable taxonomic expertise. It can also be difficult to morphologically differentiate toxic and non-toxic species or strains. Various molecular methods have been used for dinoflagellate identification and detection, and this study describes the development of eight real-time polymerase chain reaction (PCR assays targeting the large subunit ribosomal RNA (LSU rRNA gene of species from the genera Gymnodinium, Karenia, Karlodinium, and Takayama. Assays proved to be highly specific and sensitive, and the assay for G. catenatum was further developed for quantification in response to a bloom in Manukau Harbour, New Zealand. The assay estimated cell densities from environmental samples as low as 0.07 cells per PCR reaction, which equated to three cells per litre. This assay not only enabled conclusive species identification but also detected the presence of cells below the limit of detection for light microscopy. This study demonstrates the usefulness of real-time PCR as a sensitive and rapid molecular technique for the detection and quantification of micro-algae from environmental samples.

  1. Identification of local conformational similarity in structurally variable regions of homologous proteins using protein blocks.

    Agarwal, Garima; Mahajan, Swapnil; Srinivasan, Narayanaswamy; de Brevern, Alexandre G

    2011-01-01

    Structure comparison tools can be used to align related protein structures to identify structurally conserved and variable regions and to infer functional and evolutionary relationships. While the conserved regions often superimpose well, the variable regions appear non superimposable. Differences in homologous protein structures are thought to be due to evolutionary plasticity to accommodate diverged sequences during evolution. One of the kinds of differences between 3-D structures of homologous proteins is rigid body displacement. A glaring example is not well superimposed equivalent regions of homologous proteins corresponding to α-helical conformation with different spatial orientations. In a rigid body superimposition, these regions would appear variable although they may contain local similarity. Also, due to high spatial deviation in the variable region, one-to-one correspondence at the residue level cannot be determined accurately. Another kind of difference is conformational variability and the most common example is topologically equivalent loops of two homologues but with different conformations. In the current study, we present a refined view of the "structurally variable" regions which may contain local similarity obscured in global alignment of homologous protein structures. As structural alphabet is able to describe local structures of proteins precisely through Protein Blocks approach, conformational similarity has been identified in a substantial number of 'variable' regions in a large data set of protein structural alignments; optimal residue-residue equivalences could be achieved on the basis of Protein Blocks which led to improved local alignments. Also, through an example, we have demonstrated how the additional information on local backbone structures through protein blocks can aid in comparative modeling of a loop region. In addition, understanding on sequence-structure relationships can be enhanced through our approach. This has been

  2. P161-M De Novo Peptide Sequence Database for Protein Identification

    Kanazawa, M.; Egawa, S.; Anyoji, H.; Hoshino, Y; Nagashima, U.

    2007-01-01

    Several protein identification methods using mass spectrum are utilized for proteomic analysis, and almost all methods rely on protein sequence databases for the characteristic of their algorithms. Basic algorithm of these methods is to compare molecular weight (MW) of peptide as digested protein or dissociated peptide fragment with calculated weight by database stored sequences and to identify which peptide or protein is measured.

  3. Rapid and accurate identification of Streptococcus equi subspecies by MALDI-TOF MS

    Kudirkiene, Egle; Welker, Martin; Knudsen, Nanna Reumert;

    2015-01-01

    Streptococcus equi includes very important animal and human pathogens. S. equi subsp. equi (SEE) is a highly pathogenic equine specific subspecies, while S. equi subsp. zooepidemicus (SEZ) and S. equi subsp. ruminatorum are opportunistic pathogens of various animal species and humans. Due to great...... phenotypic and sequence similarity between three subspecies their discrimination remains difficult. In this study, we aimed to design and validate a novel, Superspectra based, MALDI-TOF MS approach for reliable, rapid and cost-effective identification of SEE and SEZ, the most frequent S. equi subspecies in...

  4. Accurate mass screening and identification of emerging contaminants in environmental samples by liquid chromatography-hybrid linear ion trap Orbitrap mass spectrometry.

    Hogenboom, A C; van Leerdam, J A; de Voogt, P

    2009-01-16

    The European Reach legislation will possibly drive producers to develop newly designed chemicals that will be less persistent, bioaccumulative or toxic. If this innovation leads to an increased use of more hydrophilic chemicals it may result in higher mobilities of chemicals in the aqueous environment. As a result, the drinking water companies may face stronger demands on removal processes as the hydrophilic compounds inherently are more difficult to remove. Monitoring efforts will also experience a shift in focus to more water-soluble compounds. Screening source waters on the presence of (emerging) contaminants is an essential step in the control of the water cycle from source to tap water. In this article, some of our experiences are presented with the hybrid linear ion trap (LTQ) FT Orbitrap mass spectrometer, in the area of chemical water analysis. A two-pronged strategy in mass spectrometric research was employed: (i) exploring effluent, surface, ground- and drinking-water samples searching for accurate masses corresponding to target compounds (and their product ions) known from, e.g. priority lists or the scientific literature and (ii) full-scan screening of water samples in search of 'unknown' or unexpected masses, followed by MS(n) experiments to elucidate the structure of the unknowns. Applications of both approaches to emerging water contaminants are presented and discussed. Results are presented for target analysis search for pharmaceuticals, benzotriazoles, illicit drugs and for the identification of unknown compounds in a groundwater sample and in a polar extract of a landfill soil sample (a toxicity identification evaluation bioassay sample). The applications of accurate mass screening and identification described in this article demonstrate that the LC-LTQ FT Orbitrap MS is well equipped to meet the challenges posed by newly emerging polar contaminants. PMID:18771771

  5. Rapid metabolite discovery, identification, and accurate comparison of the stereoselective metabolism of metalaxyl in rat hepatic microsomes.

    Wang, Xinru; Qiu, Jing; Xu, Peng; Zhang, Ping; Wang, Yao; Zhou, Zhiqiang; Zhu, Wentao

    2015-01-28

    Metabolite identification and quantitation impose great challenges on risk assessment of agrochemicals, as many metabolite standards are generally unavailable. In this study, metalaxyl metabolites were identified by time-of-flight mass spectrometry and semiquantified by triple quadrupole tandem mass spectrometry with self-prepared (13)C-labeled metalaxyl metabolites as internal standards. Such methodology was employed to characterize the stereoselective metabolism of metalaxyl in rat hepatic microsomes successfully. Metabolites derived from hydroxylation, demethylation, and didemethylation were identified and semiquantified. The results indicated that (+)-S-metalaxyl eliminated preferentially as the enantiomer fraction was 0.32 after 60 min incubation. The amounts of hydroxymetalaxyl and demethylmetalaxyl derived from (-)-R-metalaxyl were 1.76 and 1.82 times higher than that of (+)-S-metalaxyl, whereas didemethylmetalaxyl derived from (+)-S-metalaxyl was 1.44 times larger than that from (-)-R-metalaxyl. This study highlights a new quantitation approach for stereoselective metabolism of chiral agrochemicals and provides more knowledge on metalaxyl risk assessment. PMID:25581548

  6. Identification of a novel resi-dent centrosomal protein

    2001-01-01

    One human autoimmune serum was identified to react withcentrosomes by immunofluorescence. We applied the affinity purification of membrane-bound antibody technique and demonstrated that the antibodies present in this antiserum reacted with a 31/29 ku centrosomal antigen. Immunofluorescence showed that this antigen is located at centrosome in a cell-cycle independent manner, and thereby it belongs to the family of centrosomal residents. We then uti- lized this autoimmune serum and antibodies against centrin and gamma-tubulin to investigate changes of centrosome cycle kinetics during premature chromosome condensation (PCC) artificially induced in V79-8 cells. We show here that centrosomal proteins continue to express when cells are syn-chronized at G1/S boundary and S phase by Hydroxyurea (HU). During this time, the addition of caffeine causes cells with unreplicated genome to go into mitosis, and induces the separation of the replicated centrosomes. These results sug-gest that the coordination of DNA synthesis and centrosome replication in the normal cell cycle can be uncoupled. Cells ensure that centrosome duplicates once, and only once dur-ing each DNA synthesis cycle through the tight and subtle coordination of cell cycle engine molecules, and thereby the assembly of bipolar spindle and the accurate transmission of genetic information.

  7. Identification and validation of reference genes for accurate normalization of real-time quantitative PCR data in kiwifruit.

    Ferradás, Yolanda; Rey, Laura; Martínez, Óscar; Rey, Manuel; González, M Victoria

    2016-05-01

    Identification and validation of reference genes are required for the normalization of qPCR data. We studied the expression stability produced by eight primer pairs amplifying four common genes used as references for normalization. Samples representing different tissues, organs and developmental stages in kiwifruit (Actinidia chinensis var. deliciosa (A. Chev.) A. Chev.) were used. A total of 117 kiwifruit samples were divided into five sample sets (mature leaves, axillary buds, stigmatic arms, fruit flesh and seeds). All samples were also analysed as a single set. The expression stability of the candidate primer pairs was tested using three algorithms (geNorm, NormFinder and BestKeeper). The minimum number of reference genes necessary for normalization was also determined. A unique primer pair was selected for amplifying the 18S rRNA gene. The primer pair selected for amplifying the ACTIN gene was different depending on the sample set. 18S 2 and ACT 2 were the candidate primer pairs selected for normalization in the three sample sets (mature leaves, fruit flesh and stigmatic arms). 18S 2 and ACT 3 were the primer pairs selected for normalization in axillary buds. No primer pair could be selected for use as the reference for the seed sample set. The analysis of all samples in a single set did not produce the selection of any stably expressing primer pair. Considering data previously reported in the literature, we validated the selected primer pairs amplifying the FLOWERING LOCUS T gene for use in the normalization of gene expression in kiwifruit. PMID:26897117

  8. Accurate high-throughput identification of parallel G-quadruplex topology by a new tetraaryl-substituted imidazole.

    Hu, Ming-Hao; Chen, Shuo-Bin; Wang, Yu-Qing; Zeng, You-Mei; Ou, Tian-Miao; Li, Ding; Gu, Lian-Quan; Huang, Zhi-Shu; Tan, Jia-Heng

    2016-09-15

    G-quadruplex nucleic acids are four-stranded DNA or RNA secondary structures that are formed in guanine-rich sequences. These structures exhibit extensive structural polymorphism and play a pivotal role in the control of a variety of cellular processes. To date, diverse approaches for high-throughput identification of G-quadruplex structures have been successfully developed, but high-throughput methods for further characterization of their topologies are still lacking. In this study, we report a new tetra-arylimidazole probe psIZCM-1, which was found to display significant and distinctive changes in both the absorption and the fluorescence spectra in the presence of parallel G-quadruplexes but show insignificant changes upon interactions with anti-parallel G-quadruplexes or other non-quadruplex oligonucleotides. In view of this dual-output feature, we used psIZCM-1 to identify the parallel G-quadruplexes from a large set of 314 oligonucleotides (including 300 G-quadruplex-forming oligonucleotides and 14 non-quadruplex oligonucleotides) via a microplate reader and accordingly established a high-throughput method for the characterization of parallel G-quadruplex topologies. The accuracy of this method was greater than 95%, which was much higher than that of the commercial probe NMM. To make the approach more practical, we further combined psIZCM-1 with another G-quadruplex probe IZCM-7 to realize the high-throughput classification of parallel, anti-parallel G-quadruplexes and non-quadruplex structures. PMID:27104587

  9. Generalized method for probability-based peptide and protein identification from tandem mass spectrometry data and sequence database searching.

    Ramos-Fernández, Antonio; Paradela, Alberto; Navajas, Rosana; Albar, Juan Pablo

    2008-09-01

    Tandem mass spectrometry-based proteomics is currently in great demand of computational methods that facilitate the elimination of likely false positives in peptide and protein identification. In the last few years, a number of new peptide identification programs have been described, but scores or other significance measures reported by these programs cannot always be directly translated into an easy to interpret error rate measurement such as the false discovery rate. In this work we used generalized lambda distributions to model frequency distributions of database search scores computed by MASCOT, X!TANDEM with k-score plug-in, OMSSA, and InsPecT. From these distributions, we could successfully estimate p values and false discovery rates with high accuracy. From the set of peptide assignments reported by any of these engines, we also defined a generic protein scoring scheme that enabled accurate estimation of protein-level p values by simulation of random score distributions that was also found to yield good estimates of protein-level false discovery rate. The performance of these methods was evaluated by searching four freely available data sets ranging from 40,000 to 285,000 MS/MS spectra. PMID:18515861

  10. Identification of Candidate Genes related to Bovine Marbling using Protein-Protein Interaction Networks

    Dajeong Lim, Nam-Kuk Kim, Hye-Sun Park, Seung-Hwan Lee, Yong-Min Cho, Sung Jong Oh, Tae-Hun Kim, Heebal Kim

    2011-01-01

    Full Text Available Complex traits are determined by the combined effects of many loci and are affected by gene networks or biological pathways. Systems biology approaches have an important role in the identification of candidate genes related to complex diseases or traits at the system level. The present study systemically analyzed genes associated with bovine marbling score and identified their relationships. The candidate nodes were obtained using MedScan text-mining tools and linked by protein-protein interaction (PPI from the Human Protein Reference Database (HPRD. To determine key node of marbling, the degree and betweenness centrality (BC were used. The hub nodes and biological pathways of our network are consistent with the previous reports about marbling traits, and also suggest unknown candidate genes associated with intramuscular fat. Five nodes were identified as hub genes, which was consistent with the network analysis using quantitative reverse-transcription PCR (qRT-PCR. Key nodes of the PPI network have positive roles (PPARγ, C/EBPα, and RUNX1T1 and negative roles (RXRA, CAMK2A in the development of intramuscular fat by several adipogenesis-related pathways. This study provides genetic information for identifying candidate genes for the marbling trait in bovine.

  11. Identification of peptide and protein doping related drug compounds confiscated in Denmark between 2007-2013

    Andersen Hartvig Rune

    2014-12-01

    Full Text Available We present an overview of protein and peptide compounds confiscated in Denmark from late 2007 till late 2013 together with a description of a newly developed HRAM-LC-MS method used for identification. As examples of identification, we present data for the peptides AOD-9604, [D-Ala2, Gln8, Ala15, Leu27]sermorelin and the protein follistatin. It was found that a method with minimum sample preparation could be implemented for all of the confiscated peptides and the protein somatropin. However, for the protein follistatin it was necessary to include trypsin digestion in the sample preparation, which considerably increases the overall analysis time.

  12. Identification of proteins in the postsynaptic density fraction by mass spectrometry

    Walikonis, R S; Jensen, Ole Nørregaard; Mann, M;

    2000-01-01

    previously known to be constituents of the PSD fraction and 24 that had previously been associated with the PSD by other methods. The newly identified proteins include the heavy chain of myosin-Va (dilute myosin), a motor protein thought to be involved in vesicle trafficking, and the mammalian homolog of the......Our understanding of the organization of postsynaptic signaling systems at excitatory synapses has been aided by the identification of proteins in the postsynaptic density (PSD) fraction, a subcellular fraction enriched in structures with the morphology of PSDs. In this study, we have completed the...... identification of most major proteins in the PSD fraction with the use of an analytical method based on mass spectrometry coupled with searching of the protein sequence databases. At least one protein in each of 26 prominent protein bands from the PSD fraction has now been identified. We found 7 proteins not...

  13. Hide and seek: Identification and confirmation of small molecule protein targets.

    Ursu, Andrei; Waldmann, Herbert

    2015-08-15

    Target identification and confirmation for small molecules is often the rate limiting step in drug discovery. A robust method to identify proteins addressed by small molecules is affinity chromatography using chemical probes. These usually consist of the compound of interest equipped with a linker molecule and a proper tag. Recently, methods emerged that allow the identification of protein targets without prior functionalization of the small molecule of interest. The digest offers an update on the newest developments in the area of target identification with special focus on confirmation techniques. PMID:26115575

  14. Identification and characterization of the surface proteins of Clostridium difficile

    Several clostridial proteins were detected on the clostridial cell surface by sensitive radioiodination techniques. Two major proteins and six minor proteins comprised the radioiodinated proteins on the clostridial cell surface. Cellular fractionation of surface radiolabeled C. difficile determined that the radioiodinated proteins were found in the cell wall fraction of C. difficile and surprisingly were also present in the clostridial membrane. Furthermore, an interesting phenomenon of disulfide-crosslinking of the cell surface proteins of C. difficile was observed. Disulfide-linked protein complexes were found in both the membrane and cell wall fractions. In addition, the cell surface proteins of C. difficile were found to be released into the culture medium. In attempts to further characterize the clostridial proteins recombinant DNA techniques were employed. In addition, the role of the clostridial cell surface proteins in the interactions of C. difficile with human PMNs was also investigated

  15. Identification and characterization of the surface proteins of Clostridium difficile

    Dailey, D.C.

    1988-01-01

    Several clostridial proteins were detected on the clostridial cell surface by sensitive radioiodination techniques. Two major proteins and six minor proteins comprised the radioiodinated proteins on the clostridial cell surface. Cellular fractionation of surface radiolabeled C. difficile determined that the radioiodinated proteins were found in the cell wall fraction of C. difficile and surprisingly were also present in the clostridial membrane. Furthermore, an interesting phenomenon of disulfide-crosslinking of the cell surface proteins of C. difficile was observed. Disulfide-linked protein complexes were found in both the membrane and cell wall fractions. In addition, the cell surface proteins of C. difficile were found to be released into the culture medium. In attempts to further characterize the clostridial proteins recombinant DNA techniques were employed. In addition, the role of the clostridial cell surface proteins in the interactions of C. difficile with human PMNs was also investigated.

  16. Identification and characterization of secreted proteins in Eimeria tenella

    Ramlee, Intan Azlinda; Firdaus-Raih, Mohd; Wan, Kiew-Lian

    2015-09-01

    Eimeria tenella is a protozoan parasite that causes coccidiosis, an economically important disease in the poultry industry. The characterization of proteins that are secreted by parasites have been shown to play important roles in parasite invasion and are considered to be potential control agents. In this study, 775 proteins potentially secreted by E. tenella were identified. These proteins were further filtered to remove mitochondrial proteins. Out of 763 putative secreted proteins, 259 proteins possess transmembrane domains while another 150 proteins have GPI (Glycosylphosphatidylinositol) anchors. Homology search revealed that 315 and 448 proteins have matches with known and hypothetical proteins in the database, respectively. Within this data set, previously characterized secretory proteins such as micronemes, rhoptry kinases and dense granules were detected.

  17. Proteomics - a novel approach to the identification and characterisation of plasmodesmatal proteins

    The development of proteomic methods, such as 2-dimensional gel electrophoresis (2-DE), has established a high resolution means of identifying and characterising proteins from a given protein mixture. The biochemical composition of plasmodesmata, the intercellular channels between plant cells, is poorly described despite extensive attempts to identify protemaceous plasmodesmatal components. These attempts have been confounded by the large number of proteins in the cell wall. We have exploited the anatomy of the alga Chara corallina to separate tissues with (nodal cells) and tissues without (internodal cells) plasmodesmata. Proteins specific to the cytoplasmic and wall protein extracts of nodal and internodal tissue were identified by comparison of 2-DE gels of these extracts. In particular, a 95 kDa protein was identified as specific to the nodal cells in both 1-dimensional and 2-dimensional comparisons of cytoplasmic nodal and internodal protein extracts. This protein was analysed by electron spray ionization time of flight tandem mass spectroscopy (ESI-TOF MS/MS) and the sequence obtained showed similarity to plant lipoxygenases. Further proteins of interest were identified in 2-DE resolution of extracts from the nodal cytoplasm, including two 49 kDa proteins and two 46 kDa proteins, and from the nodal cell walls, including a cluster of proteins around 30 kDa. Thus, a proteomic strategy for the identification and characterisation of proteins specific to different cell types in Chara corallina has been developed, with potential application to the identification and characterisation of plasmodesmatal proteins

  18. Identification of phosphorylation sites in protein kinase A substrates using artificial neural networks and mass spectrometry

    Hjerrild, Majbrit; Stensballe, Allan; Rasmussen, Thomas E;

    2011-01-01

    Protein phosphorylation plays a key role in cell regulation and identification of phosphorylation sites is important for understanding their functional significance. Here, we present an artificial neural network algorithm: NetPhosK (http://www.cbs.dtu.dk/services/NetPhosK/) that predicts protein...

  19. IDENTIFICATION OF IMMUNOGENS OF 'MYCOPLASMA PNEUMONIAE' BY PROTEIN BLOTTING

    Proteins of Mycoplasma pneumoniae were separated by SDS-polyacrylamide gel electrophoresis and transferred to a nitrocellulose sheet by blotting. Sera obtained from infected hamsters and immunized rabbits were then incubated with the nitrocellulose strips. Proteins which are capa...

  20. Identification of lectin-binding proteins in Chlamydia species.

    Swanson, A F; Kuo, C. C.

    1990-01-01

    Lectin-binding proteins of chlamydiae were detected by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and immunoblotting. All three Chlamydia species tested expressed two proteins when whole-elementary-body lysates were reacted with the biotinylated lectin Dolichos biflorus agglutinin. The protein with a molecular mass of 18 kilodaltons (kDa) responded strongly compared with a higher-molecular-mass protein that varied from 27 to 32 kDa with each chlamydia strain tested. Among six l...

  1. Identification and Immunogenicity of Group A Streptococcus Culture Supernatant Proteins

    Lei, Benfang; Mackie, Stacy; Lukomski, Slawomir; Musser, James M.

    2000-01-01

    Extracellular proteins made by group A Streptococcus (GAS) play critical roles in the pathogenesis of human infections caused by this bacterium. Although many extracellular GAS proteins have been identified and characterized, there has been no systematic analysis of culture supernatant proteins. Proteins present in the culture supernatant of strains of serotype M1 (MGAS 5005) and M3 (MGAS 315) mutants lacking production of the major extracellular cysteine protease were separated by two-dimens...

  2. Towards an accurate bioimpedance identification

    Sánchez Terrones, Benjamín; Louarroudi, E.; Bragós Bardia, Ramon; Pintelon, Rik

    2013-01-01

    This paper describes the local polynomial method (LPM) for estimating the time- invariant bioimpedance frequency response function (FRF) considering both the output-error (OE) and the errors-in-variables (EIV) identi cation framework and compare it with the traditional cross and autocorrelation spectral analysis techniques. The bioimpedance FRF is measured with the multisine electrical impedance spectroscopy (EIS) technique. To show the overwhelming accuracy of the LPM approach, both t...

  3. PSSP-RFE: accurate prediction of protein structural class by recursive feature extraction from PSI-BLAST profile, physical-chemical property and functional annotations.

    Liqi Li

    Full Text Available Protein structure prediction is critical to functional annotation of the massively accumulated biological sequences, which prompts an imperative need for the development of high-throughput technologies. As a first and key step in protein structure prediction, protein structural class prediction becomes an increasingly challenging task. Amongst most homological-based approaches, the accuracies of protein structural class prediction are sufficiently high for high similarity datasets, but still far from being satisfactory for low similarity datasets, i.e., below 40% in pairwise sequence similarity. Therefore, we present a novel method for accurate and reliable protein structural class prediction for both high and low similarity datasets. This method is based on Support Vector Machine (SVM in conjunction with integrated features from position-specific score matrix (PSSM, PROFEAT and Gene Ontology (GO. A feature selection approach, SVM-RFE, is also used to rank the integrated feature vectors through recursively removing the feature with the lowest ranking score. The definitive top features selected by SVM-RFE are input into the SVM engines to predict the structural class of a query protein. To validate our method, jackknife tests were applied to seven widely used benchmark datasets, reaching overall accuracies between 84.61% and 99.79%, which are significantly higher than those achieved by state-of-the-art tools. These results suggest that our method could serve as an accurate and cost-effective alternative to existing methods in protein structural classification, especially for low similarity datasets.

  4. Identification of Renibacterium salmoninarum surface proteins by radioiodination.

    Fredriksen, A; Bakken, V

    1994-09-01

    Surface exposed proteins of Renibacterium salmoninarum were identified by radiolabelling whole bacterial cells with 125I, followed by SDS-PAGE and autoradiography. The most prominent bands had molecular masses of approximately 57 kDa and 22 kDa; in addition, some less intensively labelled bands were detected. Polyclonal sera raised against the 22 kDa protein did not react with the 57 kDa protein. N-terminal amino acid sequence analysis of the purified 22 kDa protein showed no similarity with the sequence of the 57 kDa protein. PMID:7926685

  5. Identification of Posttranslational Modification-Dependent Protein Interactions Using Yeast Surface Displayed Human Proteome Libraries

    Bidlingmaier, Scott; Liu, Bin

    2016-01-01

    The identification of proteins that interact specifically with posttranslational modifications such as phosphorylation is often necessary to understand cellular signaling pathways. Numerous methods for identifying proteins that interact with posttranslational modifications have been utilized, including affinity-based purification and analysis, protein microarrays, phage display, and tethered catalysis. Although these techniques have been used successfully, each has limitations. Recently, yeast surface-displayed human proteome libraries have been utilized to identify protein fragments with affinity for various target molecules, including phosphorylated peptides. When coupled with fluorescently activated cell sorting and high throughput methods for the analysis of selection outputs, yeast surface-displayed human proteome libraries can rapidly and efficiently identify protein fragments with affinity for any soluble ligand that can be fluorescently detected, including posttranslational modifications. In this review we compare the use of yeast surface display libraries to other methods for the identification of interactions between proteins and posttranslational modifications and discuss future applications of the technology. PMID:26060076

  6. Development of a strategy for the identification of surface proteins in the pathogenic microsporidian Nosema bombycis.

    Zhao, Weixi; Hao, Youjin; Wang, Linglin; Zhou, Zeyang; Li, Zhi

    2015-06-01

    Parasite-host interactions mediated by cell surface proteins have been implicated as a critical step in infections caused by the microsporidian Nosema bombycis. Such cell surface proteins are considered as promising diagnostic markers and targets for drug development. However, little research has specifically addressed surface proteome identification in microsporidia due to technical barriers. Here, a combined strategy was developed to separate and identify the surface proteins of N. bombycis. Briefly, following (1) biotinylation of the spore surface, (2) extraction of total proteins with an optimized method and (3) streptavidin affinity purification of biotinylated proteins, 22 proteins were identified based on LC-MS/MS analysis. Among them, 5 proteins were confirmed to be localized on the surface of N. bombycis. A total of 8 proteins were identified as hypothetical extracellular proteins, whereas 7 other hypothetical proteins had no available function annotation. Furthermore, a protein with a molecular weight of 18·5 kDa was localized on the spore surface by western blotting and immunofluorescence analysis, even though it was predicted to be a nuclear protein by bioinformatics. Collectively, our work provides an effective strategy for isolating microsporidian surface protein components for both drug target identification and further diagnostic research on microsporidian disease control. PMID:25811320

  7. Comprehensive Identification of Immunodominant Proteins of Brucella abortus and Brucella melitensis Using Antibodies in the Sera from Naturally Infected Hosts

    Gamal Wareth

    2016-04-01

    Full Text Available Brucellosis is a debilitating zoonotic disease that affects humans and animals. The diagnosis of brucellosis is challenging, as accurate species level identification is not possible with any of the currently available serology-based diagnostic methods. The present study aimed at identifying Brucella (B. species-specific proteins from the closely related species B. abortus and B. melitensis using sera collected from naturally infected host species. Unlike earlier reported investigations with either laboratory-grown species or vaccine strains, in the present study, field strains were utilized for analysis. The label-free quantitative proteomic analysis of the naturally isolated strains of these two closely related species revealed 402 differentially expressed proteins, among which 63 and 103 proteins were found exclusively in the whole cell extracts of B. abortus and B. melitensis field strains, respectively. The sera from four different naturally infected host species, i.e., cattle, buffalo, sheep, and goat were applied to identify the immune-binding protein spots present in the whole protein extracts from the isolated B. abortus and B. melitensis field strains and resolved on two-dimensional gel electrophoresis. Comprehensive analysis revealed that 25 proteins of B. abortus and 20 proteins of B. melitensis were distinctly immunoreactive. Dihydrodipicolinate synthase, glyceraldehyde-3-phosphate dehydrogenase and lactate/malate dehydrogenase from B. abortus, amino acid ABC transporter substrate-binding protein from B. melitensis and fumarylacetoacetate hydrolase from both species were reactive with the sera of all the tested naturally infected host species. The identified proteins could be used for the design of serological assays capable of detecting pan-Brucella, B. abortus- and B. melitensis-specific antibodies.

  8. Comprehensive Identification of Immunodominant Proteins of Brucella abortus and Brucella melitensis Using Antibodies in the Sera from Naturally Infected Hosts

    Wareth, Gamal; Eravci, Murat; Weise, Christoph; Roesler, Uwe; Melzer, Falk; Sprague, Lisa D.; Neubauer, Heinrich; Murugaiyan, Jayaseelan

    2016-01-01

    Brucellosis is a debilitating zoonotic disease that affects humans and animals. The diagnosis of brucellosis is challenging, as accurate species level identification is not possible with any of the currently available serology-based diagnostic methods. The present study aimed at identifying Brucella (B.) species-specific proteins from the closely related species B. abortus and B. melitensis using sera collected from naturally infected host species. Unlike earlier reported investigations with either laboratory-grown species or vaccine strains, in the present study, field strains were utilized for analysis. The label-free quantitative proteomic analysis of the naturally isolated strains of these two closely related species revealed 402 differentially expressed proteins, among which 63 and 103 proteins were found exclusively in the whole cell extracts of B. abortus and B. melitensis field strains, respectively. The sera from four different naturally infected host species, i.e., cattle, buffalo, sheep, and goat were applied to identify the immune-binding protein spots present in the whole protein extracts from the isolated B. abortus and B. melitensis field strains and resolved on two-dimensional gel electrophoresis. Comprehensive analysis revealed that 25 proteins of B. abortus and 20 proteins of B. melitensis were distinctly immunoreactive. Dihydrodipicolinate synthase, glyceraldehyde-3-phosphate dehydrogenase and lactate/malate dehydrogenase from B. abortus, amino acid ABC transporter substrate-binding protein from B. melitensis and fumarylacetoacetate hydrolase from both species were reactive with the sera of all the tested naturally infected host species. The identified proteins could be used for the design of serological assays capable of detecting pan-Brucella, B. abortus- and B. melitensis-specific antibodies. PMID:27144565

  9. Comprehensive Identification of Immunodominant Proteins of Brucella abortus and Brucella melitensis Using Antibodies in the Sera from Naturally Infected Hosts.

    Wareth, Gamal; Eravci, Murat; Weise, Christoph; Roesler, Uwe; Melzer, Falk; Sprague, Lisa D; Neubauer, Heinrich; Murugaiyan, Jayaseelan

    2016-01-01

    Brucellosis is a debilitating zoonotic disease that affects humans and animals. The diagnosis of brucellosis is challenging, as accurate species level identification is not possible with any of the currently available serology-based diagnostic methods. The present study aimed at identifying Brucella (B.) species-specific proteins from the closely related species B. abortus and B. melitensis using sera collected from naturally infected host species. Unlike earlier reported investigations with either laboratory-grown species or vaccine strains, in the present study, field strains were utilized for analysis. The label-free quantitative proteomic analysis of the naturally isolated strains of these two closely related species revealed 402 differentially expressed proteins, among which 63 and 103 proteins were found exclusively in the whole cell extracts of B. abortus and B. melitensis field strains, respectively. The sera from four different naturally infected host species, i.e., cattle, buffalo, sheep, and goat were applied to identify the immune-binding protein spots present in the whole protein extracts from the isolated B. abortus and B. melitensis field strains and resolved on two-dimensional gel electrophoresis. Comprehensive analysis revealed that 25 proteins of B. abortus and 20 proteins of B. melitensis were distinctly immunoreactive. Dihydrodipicolinate synthase, glyceraldehyde-3-phosphate dehydrogenase and lactate/malate dehydrogenase from B. abortus, amino acid ABC transporter substrate-binding protein from B. melitensis and fumarylacetoacetate hydrolase from both species were reactive with the sera of all the tested naturally infected host species. The identified proteins could be used for the design of serological assays capable of detecting pan-Brucella, B. abortus- and B. melitensis-specific antibodies. PMID:27144565

  10. Computational Identification of Post Translational Modification Regulated RNA Binding Protein Motifs.

    Andrew S Brown

    Full Text Available RNA and its associated RNA binding proteins (RBPs mitigate a diverse array of cellular functions and phenotypes. The interactions between RNA and RBPs are implicated in many roles of biochemical processing by the cell such as localization, protein translation, and RNA stability. Recent discoveries of novel mechanisms that are of significant evolutionary advantage between RBPs and RNA include the interaction of the RBP with the 3' and 5' untranslated region (UTR of target mRNA. These mechanisms are shown to function through interaction of a trans-factor (RBP and a cis-regulatory element (3' or 5' UTR by the binding of a RBP to a regulatory-consensus nucleic acid motif region that is conserved throughout evolution. Through signal transduction, regulatory RBPs are able to temporarily dissociate from their target sites on mRNAs and induce translation, typically through a post-translational modification (PTM. These small, regulatory motifs located in the UTR of mRNAs are subject to a loss-of-function due to single polymorphisms or other mutations that disrupt the motif and inhibit the ability to associate into the complex with RBPs. The identification of a consensus motif for a given RBP is difficult, time consuming, and requires a significant degree of experimentation to identify each motif-containing gene on a genomic scale. We have developed a computational algorithm to analyze high-throughput genomic arrays that contain differential binding induced by a PTM for a RBP of interest-RBP-PTM Target Scan (RPTS. We demonstrate the ability of this application to accurately predict a PTM-specific binding motif to an RBP that has no antibody capable of distinguishing the PTM of interest, negating the use of in-vitro exonuclease digestion techniques.

  11. Modification of resolution in capillary electrophoresis for protein profiling in identification of genetic modification in foods

    Latoszek, A.; Cifuentes, Alejandro

    2011-01-01

    The capillary electrophoresis with UV detection was employed for protein profiling in extracts from maize and soybeans. Modifications of back-ground electrolyte and coating the capillary wall with polybrene was employed in order to decrease the protein adsorption on the capillary walls. The obtained protein profiles were compared for transgenic and non-transgenic variants, showing in some cases significant changes that might be employed for identification of genetic modifications ...

  12. Identification of urinary protein biomarkers for tobacco smoking.

    Haniff, Aj Nabill; Gam, Lay-Harn

    2016-03-01

    Smoking, passive smoking, and nonsmoking are conditions that give different degrees of stress to the body. In this study, a proteomic technique was used to analyze differentially urinary protein expression between these three groups of subjects. Urinary proteins were precipitated using ammonium sulfate followed by separation according to molecular weights using SDS-PAGE. The gel was stained by Coommassie blue, and the image of the gel was captured for the comparison study. The protein bands that were consistently detected but expressed at different intensity between the smokers and nonsmokers were targeted for further analysis. Three targeted protein bands were excised from the gel, consisting of a unique protein band of smokers and a pair of differentially expressed protein bands from smokers and nonsmokers. The proteins were digested in gel by trypsin. The tryptic peptides were analyzed with ultra performance liquid chromatography-tandem mass spectrometry. Protein identity was determined by the product ion spectrum in the MS/MS scan. Four unique proteins from the smokers, namely, pancreatic alpha amylase, proepidermal growth factor, protein 4.1, and prostatic acid phosphatase, were found to be potential urinary biomarkers to indicate smoking status of a person. PMID:25640279

  13. Identification of an epitope of SARS-coronavirus nucleocapsid protein

    YING LIN; JIN WANG; HONG XIA WANG; HUA LIANG JIANG; JIAN HUA SHEN; YOU HUA XIE; YUAN WANG; GANG PEI; BEI FEN SHEN; JIA RUI WU; BING SUN; XU SHEN; RUI FU YANG; YI XUE LI; YONG YONG JI; YOU YU HE; MUDE SHI; WEI LU; TIE LIU SHI

    2003-01-01

    The nucleocapsid (N) protein of severe acute respiratory syndrome-coronavirus (SARS-CoV) is a majorvirion structural protein. In this study, two epitopes (N1 and N2) of the N protein of SARS-CoV werepredicted by bioinformatics analysis. After immunization with two peptides, the peptides-specific antibodieswere isolated from the immunized rabbits. The further experiments demonstrated that N1 peptide-inducedpolyclonal antibodies had a high affinity to bind to E. coli expressed N protein of SARS-CoV. Furthermore, itwas confirmed that N1 peptide-specific IgG antibodies were detectable in the sera of severe acute respiratorysyndrome (SARS) patients. The results indicated that an epitope of the N protein has been identified andN protein specific Abs were produced by peptide immunization, which will be useful for the study of SARS-CoV.

  14. A nested mixture model for protein identification using mass spectrometry

    Li, Qunhua; Stephens, Matthew; 10.1214/09-AOAS316

    2010-01-01

    Mass spectrometry provides a high-throughput way to identify proteins in biological samples. In a typical experiment, proteins in a sample are first broken into their constituent peptides. The resulting mixture of peptides is then subjected to mass spectrometry, which generates thousands of spectra, each characteristic of its generating peptide. Here we consider the problem of inferring, from these spectra, which proteins and peptides are present in the sample. We develop a statistical approach to the problem, based on a nested mixture model. In contrast to commonly used two-stage approaches, this model provides a one-stage solution that simultaneously identifies which proteins are present, and which peptides are correctly identified. In this way our model incorporates the evidence feedback between proteins and their constituent peptides. Using simulated data and a yeast data set, we compare and contrast our method with existing widely used approaches (PeptideProphet/ProteinProphet) and with a recently publis...

  15. Identification of new centrosome proteins by autoimmune patient sera

    XIA Liang; LI Yan; YANG Dong; WANG LiMin; HE Fang; ZHOU ChunYuan; LI YongZhe; ZENG ChangQing; He DaCheng

    2007-01-01

    Compared to other subcellular organelles, centrosome proteome can hardly be studied, due to the difficulties in separation and purification of centrosome. Auto-antisera from 6 autoimmune patients, which recognized centrosome specifically in immunofluorescence, were used to identify the corresponding centrosomal proteins. The sera were first tested by Western blot on whole cell lysate, and all bound antibodies were then eluted from each single band in Western blot membrane to assure which antibody was responsible for the centrosome specific immunofluorescence staining. The corresponding proteins were obtained by immunoprecipitation and identified by mass spectrometry. Six centrosomal proteins, including 2 known centrosomal proteins and 4 proteins with unknown localization or reportedly non-centrosomal localization, were identified. These proteins apparently involve in cell cycle regulation, signal transduction pathways, molecular chaperons, and metabolism enzymes, which may reflect the expected functional diversity of centrosome.

  16. Identification of Major Outer Surface Proteins of Streptococcus agalactiae

    Hughes, Martin J. G.; Moore, Joanne C.; Lane, Jonathan D.; Wilson, Rebecca; Pribul, Philippa K.; Younes, Zabin N.; Dobson, Richard J; Everest, Paul; Reason, Andrew J.; Redfern, Joanne M.; Greer, Fiona M.; Paxton, Thanai; Panico, Maria; Morris, Howard R; Feldman, Robert G.

    2002-01-01

    To identify the major outer surface proteins of Streptococcus agalactiae (group B streptococcus), a proteomic analysis was undertaken. An extract of the outer surface proteins was separated by two-dimensional electrophoresis. The visualized spots were identified through a combination of peptide sequencing and reverse genetic methodologies. Of the 30 major spots identified as S. agalactiae specific, 27 have been identified. Six of these proteins, previously unidentified in S. agalactiae, were ...

  17. Identification of three novel Toxoplasma gondii rhoptry proteins

    Camejo, Ana; Gold, Daniel A.; Lu, Diana; McFetridge, Kiva; Julien, Lindsay; Yang, Ninghan; Jensen, Kirk D. C.; Jeroen P J Saeij

    2013-01-01

    The rhoptries are key secretory organelles from apicomplexan parasites that contain proteins involved in invasion and modulation of the host cell. Some rhoptry proteins are restricted to the posterior bulb (ROPs) and others to the anterior neck (RONs). As many rhoptry proteins have been shown to be key players in Toxoplasma invasion and virulence, it is important to identify, understand and characterize the biological function of the components of the rhoptries. In this report, we identified ...

  18. Identification of proteins in fluid collected from nerve regeneration chambers

    Ye Yilin

    2014-01-01

    Full Text Available We examined whether there are novel neurotrophic factors (NTFs in nerve regeneration conditioned fluid (NRCF. Nerve regeneration chamber models were established in the sciatic nerves of 25 New Zealand rabbits, and NRCF was extracted from the chambers l week postoperatively. Proteins in NRCF were separated by native polyacrylamide gel electrophoresis (PAGE, and Western blot and ELISA were used to identify the proteins. A novel NTF was identified in a protein fraction corresponding to 220 kDa.

  19. An effective approach for identification of in vivo protein-DNA binding sites from paired-end ChIP-Seq data

    Wilson Zoe A

    2010-02-01

    Full Text Available Abstract Background ChIP-Seq, which combines chromatin immunoprecipitation (ChIP with high-throughput massively parallel sequencing, is increasingly being used for identification of protein-DNA interactions in vivo in the genome. However, to maximize the effectiveness of data analysis of such sequences requires the development of new algorithms that are able to accurately predict DNA-protein binding sites. Results Here, we present SIPeS (Site Identification from Paired-end Sequencing, a novel algorithm for precise identification of binding sites from short reads generated by paired-end solexa ChIP-Seq technology. In this paper we used ChIP-Seq data from the Arabidopsis basic helix-loop-helix transcription factor ABORTED MICROSPORES (AMS, which is expressed within the anther during pollen development, the results show that SIPeS has better resolution for binding site identification compared to two existing ChIP-Seq peak detection algorithms, Cisgenome and MACS. Conclusions When compared to Cisgenome and MACS, SIPeS shows better resolution for binding site discovery. Moreover, SIPeS is designed to calculate the mappable genome length accurately with the fragment length based on the paired-end reads. Dynamic baselines are also employed to effectively discriminate closely adjacent binding sites, for effective binding sites discovery, which is of particular value when working with high-density genomes.

  20. Optimization of Data-Dependent Parameters for LC-MS/MS Protein Identification

    Orlando, R; Johnson, D

    2011-01-01

    A typical bottom-up protein identification workflow involves proteolytic digestion followed by identification of the resulting peptides by LC-MS/MS using data-dependent acquisition (DDA). Recent developments in chromatography, such as uHPLC and superficially porous Fused-core particles, offer significantly improved peptide resolutions. The narrow peak widths, often only several seconds, can permit a 15 minute LC run to have a similar peak capacity as a 60 minute run using a traditional HPLC a...

  1. Proteomics of Soil and Sediment: Protein Identification by De Novo Sequencing of Mass Spectra Complements Traditional Database Searching

    Miller, S.; Rizzo, A. I.; Waldbauer, J.

    2015-12-01

    Proteomics has the potential to elucidate the metabolic pathways and taxa responsible for in situ biogeochemical transformations. However, low rates of protein identification from high resolution mass spectra have been a barrier to the development of proteomics in complex environmental samples. Much of the difficulty lies in the computational challenge of linking mass spectra to their corresponding proteins. Traditional database search methods for matching peptide sequences to mass spectra are often inadequate due to the complexity of environmental proteomes and the large database search space, as we demonstrate with soil and sediment proteomes generated via a range of extraction methods. One alternative to traditional database searching is de novo sequencing, which identifies peptide sequences without the need for a database. BLAST can then be used to match de novo sequences to similar genetic sequences. Assigning confidence to putative identifications has been one hurdle for the implementation of de novo sequencing. We found that accurate de novo sequences can be screened by quality score and length. Screening criteria are verified by comparing the results of de novo sequencing and traditional database searching for well-characterized proteomes from simple biological systems. The BLAST hits of screened sequences are interrogated for taxonomic and functional information. We applied de novo sequencing to organic topsoil and marine sediment proteomes. Peak-rich proteomes, which can result from various extraction techniques, yield thousands of high-confidence protein identifications, an improvement over previous proteomic studies of soil and sediment. User-friendly software tools for de novo metaproteomics analysis have been developed. This "De Novo Analysis" Pipeline is also a faster method of data analysis than constructing a tailored sequence database for traditional database searching.

  2. Identification of new Palmitoylated Proteins in Toxoplasma gondii

    Caballero, Marina C.; Alonso, Andrés M.; Deng, Bin; Attias, Marcia; de Souza, Wanderley; Corvi, María M.

    2016-01-01

    Protein palmitoylation has been shown to be an important post-translational modification in eukaryotic cells. This modification alters the localization and/or the function of the targeted protein. In the recent years protein palmitoylation has risen in importance in apicomplexan parasites as well. In Toxoplasma gondii, some proteins have been reported to be modified by palmitate. With the development of new techniques that allow the isolation of palmitoylated proteins, this significant post-translational modification has begun to be studied in more detail in T. gondii. Here we describe the palmitoylome of the tachyzoite stage of T. gondii using a combination of the acyl-biotin exchange chemistry method and mass spectrometry analysis. We identified 401 proteins found in multiple cellular compartments, with a wide range of functions that vary from metabolic processes, gliding and host-cell invasion to even regulation of transcription and translation. Besides, we found that more rhoptry proteins than the ones already described for Toxoplasma are palmitoylated, suggesting an important role for this modification in the invasion mechanism of the host-cell. This study documents that protein palmitoylation is a common modification in T. gondii that could have an impact on different cellular processes. PMID:26825284

  3. Identification of Treponema pallidum penicillin-binding proteins.

    Cunningham, T M; Miller, J N; Lovett, M A

    1987-01-01

    Penicillin-binding proteins of 180, 89, 80, 68, 61, 41, and 38 kilodaltons were identified in Treponema pallidum (Nichols) by their covalent binding of [35S]benzylpenicillin. Penicillin-binding proteins are localized in the plasma membranes of many bacterial species and may serve as useful markers for determining plasma membrane intactness in T. pallidum fractionation studies.

  4. Identification of SNARE proteins in fish-Tilapia Oreochromis niloticus

    HUANG Xiaohang; LAM Patrick P L; LIN Xuezheng; LIU Chenlin; BIAN Ji; GAISANO Herbert

    2007-01-01

    SNARE proteins are a group of membrane-associated proteins involved in exocytosis, secretion and membrane trafficking events in eukaryotic cells. Research on SNARE protein biology has become a more attractive field in recent years, which is applied to marine biology specifically to the fish Tilapia (Oreochromis niloticus). Plasma membrane fractions of different tissues of Tilapia, including brain, liver-pancreas, intestine, skin and muscle, were extracted, and immuno-decorated with isoform-specific antibodies to the SNARE families and associated proteins. The presence of Syntaxins -1A, 2 and 3, SNAP-23 and SNAP-25, VAMP-2, Munc-18-1 and Munc-13 in the brain was identified, which were differentially distributed in the other organ tissues of the fish Tilapia. The distinct distribution of SNARE and associated proteins will serve as the basis for further investigation into their special secretory function in these tissues of the fish.

  5. Serum protein identification and quantification of the corona of 5, 15 and 80 nm gold nanoparticles

    When nanoparticles (NP) enter the body they come into contact with body fluids containing proteins which can adsorb to their surface. These proteins may influence the NP interactions with the biological vicinity, eventually determining their biological fate inside the body. Adsorption of the most abundantly binding proteins was studied after an in vitro 24 hr incubation of monodisperse, negatively charged 5, 15 and 80 nm gold spheres (AuNP) in mouse serum by a two-step analysis: proteomic protein identification and quantitative protein biochemistry. The adsorbed proteins were separated from non-adsorbed proteins by centrifugation and gel electrophoresis and identified using a MALDI-TOF-MS-Proteomics-Analyzer. Quantitative analysis of proteins in gel bands by protein densitometry, required the focus on predominantly binding serum proteins. Numerous proteins adsorbed to the AuNP depending on their size, e.g. apolipoproteins or complement C3. The qualitative and quantitative amount of adsorbed proteins differed between 5, 15 and 80 nm AuNP. Band intensities of adsorbed proteins decreased with increasing AuNP sizes based not only on their mass but also on their surface area. Summarizing, the AuNP surface is covered with serum proteins containing transport and immune related proteins among others. Hence, protein binding depends on the size, surface area and curvature of the AuNP. (paper)

  6. Method for identification of rigid domains and hinge residues in proteins based on exhaustive enumeration.

    Sim, Jaehyun; Sim, Jun; Park, Eunsung; Lee, Julian

    2015-06-01

    Many proteins undergo large-scale motions where relatively rigid domains move against each other. The identification of rigid domains, as well as the hinge residues important for their relative movements, is important for various applications including flexible docking simulations. In this work, we develop a method for protein rigid domain identification based on an exhaustive enumeration of maximal rigid domains, the rigid domains not fully contained within other domains. The computation is performed by mapping the problem to that of finding maximal cliques in a graph. A minimal set of rigid domains are then selected, which cover most of the protein with minimal overlap. In contrast to the results of existing methods that partition a protein into non-overlapping domains using approximate algorithms, the rigid domains obtained from exact enumeration naturally contain overlapping regions, which correspond to the hinges of the inter-domain bending motion. The performance of the algorithm is demonstrated on several proteins. PMID:25820699

  7. Mass spectrometric identification of proteins and characterization of their post-translational modifications in proteome analysis

    Roepstorff, P; Larsen, Martin Røssel

    2001-01-01

    more than 425.000 protein sequences. However, the cellular functions are determined by the set of proteins expressed in the cell--the proteome. Two-dimensional gel electrophoresis, mass spectrometry and bioinformatics have become important tools in correlating the proteome with the genome. The current...... dominant strategies for identification of proteins from gels based on peptide mass spectrometric fingerprinting and partial sequencing by mass spectrometry are described. After identification of the proteins the next challenge in proteome analysis is characterization of their post-translational...... modifications. The general problems associated with characterization of these directly from gel separated proteins are described and the current state of art for the determination of phosphorylation, glycosylation and proteolytic processing is illustrated....

  8. An automated stochastic approach to the identification of the protein specificity determinants and functional subfamilies

    Rakhmaninova Aleksandra B

    2010-07-01

    Full Text Available Abstract Background Recent progress in sequencing and 3 D structure determination techniques stimulated development of approaches aimed at more precise annotation of proteins, that is, prediction of exact specificity to a ligand or, more broadly, to a binding partner of any kind. Results We present a method, SDPclust, for identification of protein functional subfamilies coupled with prediction of specificity-determining positions (SDPs. SDPclust predicts specificity in a phylogeny-independent stochastic manner, which allows for the correct identification of the specificity for proteins that are separated on a phylogenetic tree, but still bind the same ligand. SDPclust is implemented as a Web-server http://bioinf.fbb.msu.ru/SDPfoxWeb/ and a stand-alone Java application available from the website. Conclusions SDPclust performs a simultaneous identification of specificity determinants and specificity groups in a statistically robust and phylogeny-independent manner.

  9. Identification of Uropathogenic Escherichia coli Surface Proteins by Shotgun Proteomics

    Walters, Matthew S.; Mobley, Harry L. T.

    2009-01-01

    Uropathogenic Escherichia coli (UPEC) cause the majority of uncomplicated urinary tract infections in humans. In the process of identifying candidate antigens for a vaccine, two methods for the identification of the UPEC surface proteome during growth in human urine were investigated. The first approach utilized a protease to ‘shave’ surface-exposed peptides from the bacterial cell surface and identify them by mass spectrometry. Although this approach has been successfully applied to a Gram-p...

  10. Identification and Characterization of Proteins Associated with Plant Tolerance to Heat Stress

    Bingru Huang; Chenping Xu

    2008-01-01

    Heat stress is a major abiotic stress limiting plant growth and productivity in many areas of the world. Understanding mechanisms of plant adaptation to heat stress would facilitate the development of heat-tolerant cultivars for improving productivity in warm climatic regions. Protein metabolism involving protein synthesis and degradation is one of the most sensitive processes to heat stress. Changes in the level and expression pattern of some proteins may play an important role in plant adaptation to heat stress. The identification of stress-responsive proteins and pathways has been facilitated by an increasing number of tools and resources, including two-dimensional electrophoresis and mass spectrometry, and the rapidly expanding nucleotide and amino acid sequence databases. Heat stress may induce or enhance protein expression or cause protein degradation. The induction of heat-responsive proteins, particularly heat shock proteins (HSPs), plays a key role in plant tolerance to heat stress. Protein degradation involving various proteases is also important in regulating plant responses to heat stress. This review provides an overview of recent research on proteomic profiling for the identification of heat-responsive proteins associated with heat tolerance, heat induction and characteristics of HSPs, and protein degradation in relation to plant responses to heat stress.

  11. Identification of novel amelogenin-binding proteins by proteomics analysis.

    Takao Fukuda

    Full Text Available Emdogain (enamel matrix derivative, EMD is well recognized in periodontology. It is used in periodontal surgery to regenerate cementum, periodontal ligament, and alveolar bone. However, the precise molecular mechanisms underlying periodontal regeneration are still unclear. In this study, we investigated the proteins bound to amelogenin, which are suggested to play a pivotal role in promoting periodontal tissue regeneration. To identify new molecules that interact with amelogenin and are involved in osteoblast activation, we employed coupling affinity chromatography with proteomic analysis in fractionated SaOS-2 osteoblastic cell lysate. In SaOS-2 cells, many of the amelogenin-interacting proteins in the cytoplasm were mainly cytoskeletal proteins and several chaperone molecules of heat shock protein 70 (HSP70 family. On the other hand, the proteomic profiles of amelogenin-interacting proteins in the membrane fraction of the cell extracts were quite different from those of the cytosolic-fraction. They were mainly endoplasmic reticulum (ER-associated proteins, with lesser quantities of mitochondrial proteins and nucleoprotein. Among the identified amelogenin-interacting proteins, we validated the biological interaction of amelogenin with glucose-regulated protein 78 (Grp78/Bip, which was identified in both cytosolic and membrane-enriched fractions. Confocal co-localization experiment strongly suggested that Grp78/Bip could be an amelogenin receptor candidate. Further biological evaluations were examined by Grp78/Bip knockdown analysis with and without amelogenin. Within the limits of the present study, the interaction of amelogenin with Grp78/Bip contributed to cell proliferation, rather than correlate with the osteogenic differentiation in SaOS-2 cells. Although the biological significance of other interactions are not yet explored, these findings suggest that the differential effects of amelogenin-derived osteoblast activation could be of

  12. Identification of outer membrane proteins of Bartonella bacilliformis.

    Minnick, M F

    1994-01-01

    Purification of the outer membrane of Bartonella bacilliformis by sucrose step gradient centrifugation and analysis by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) suggest that 14 proteins, ranging from 11.2 to 75.3 kDa, are located in the outer membrane of the pathogen. On the basis of M(r)s, eleven of these proteins have counterparts which are labeled by extrinsic radioiodination of intact bartonellae, and two of the proteins are visibly sensitive to extrinsic protei...

  13. aPPRove: An HMM-Based Method for Accurate Prediction of RNA-Pentatricopeptide Repeat Protein Binding Events

    Harrison, Thomas; Ruiz, Jaime; Sloan, Daniel B.; Ben-Hur, Asa; Boucher, Christina

    2016-01-01

    Pentatricopeptide repeat containing proteins (PPRs) bind to RNA transcripts originating from mitochondria and plastids. There are two classes of PPR proteins. The P class contains tandem P-type motif sequences, and the PLS class contains alternating P, L and S type sequences. In this paper, we describe a novel tool that predicts PPR-RNA interaction; specifically, our method, which we call aPPRove, determines where and how a PLS-class PPR protein will bind to RNA when given a PPR and one or more RNA transcripts by using a combinatorial binding code for site specificity proposed by Barkan et al. Our results demonstrate that aPPRove successfully locates how and where a PPR protein belonging to the PLS class can bind to RNA. For each binding event it outputs the binding site, the amino-acid-nucleotide interaction, and its statistical significance. Furthermore, we show that our method can be used to predict binding events for PLS-class proteins using a known edit site and the statistical significance of aligning the PPR protein to that site. In particular, we use our method to make a conjecture regarding an interaction between CLB19 and the second intronic region of ycf3. The aPPRove web server can be found at www.cs.colostate.edu/~approve. PMID:27560805

  14. Proteomic identification of S-nitrosylated proteins in Arabidopsis

    Lindermayr, C.; Saalbach, G.; Durner, J.

    2005-01-01

    one of the dominant regulation mechanisms for many animal proteins. For plants, the principle of S-nitrosylation remained to be elucidated. We generated S-nitrosothiols by treating extracts from Arabidopsis (Arabidopsis thaliana) cell suspension cultures with the NO-donor S......Although nitric oxide (NO) has grown into a key signaling molecule in plants during the last few years, less is known about how NO regulates different events in plants. Analyses of NO-dependent processes in animal systems have demonstrated protein S-nitrosylation of cysteine (Cys) residues to be......-nitrosoglutathione. Furthermore, Arabidopsis plants were treated with gaseous NO to analyze whether S-nitrosylation can occur in the specific redox environment of a plant cell in vivo. S-Nitrosylated proteins were detected by a biotin switch method, converting S-nitrosylated Cys to biotinylated Cys. Biotin-labeled proteins were...

  15. Simple method for identification of plasmid-coded proteins

    Proteins encoded by plasmid DNA are specifically labeled in uv-irradiated cells of Escherichia coli carrying recA and uvrA mutations because extensive degradation of the chromosome DNA occurs concurrently with amplification of plasmid DNA

  16. Identification and characterization of Vibrio cholerae surface proteins by radioiodination

    Whole cells and isolated outer membrane from Vibrio cholerae (Classical, Inaba) were radiolabeled with Iodogen or Iodo-beads as catalyst. Radiolabeling of whole cells was shown to be surface specific by sodium dodecyl sulfate-urea polyacrylamide gel electrophoresis of whole cells and cell fractions. Surface-labeled whole cells regularly showed 16 distinguishable protein species, of which nine were found in radiolabeled outer membrane preparations obtained by a lithium chloride- lithium acetate procedure. Eight of these proteins were found in outer membranes prepared by sucrose density gradient centrifugation and Triton X-100 extraction of radiolabeled whole cells. The mobility of several proteins was shown to be affected by temperature, and the major protein species exposed on the cell surface was shown to consist of at least two different peptides

  17. Identification of Drought-Responsive Universal Stress Proteins in Viridiplantae

    Isokpehi, Raphael D.; Simmons, Shaneka S.; Cohly, Hari H. P.; Ekunwe, Stephen I.N.; Begonia, Gregorio B.; Ayensu, Wellington K.

    2011-01-01

    Genes encoding proteins that contain the universal stress protein (USP) domain are known to provide bacteria, archaea, fungi, protozoa, and plants with the ability to respond to a plethora of environmental stresses. Specifically in plants, drought tolerance is a desirable phenotype. However, limited focused and organized functional genomic datasets exist on drought-responsive plant USP genes to facilitate their characterization. The overall objective of the investigation was to identify diver...

  18. Uromodulin Exclusion List Improves Urinary Exosomal Protein Identification

    Hiemstra, Thomas F.; Charles, Philip D.; Hester, Svenja S.; Karet, Fiona E.; Lilley, Kathryn S

    2011-01-01

    Advances in mass spectrometry (MS) have encouraged interest in its deployment in urine biomarker studies, but success has been limited. Urine exosomes have been proposed as an ideal source of biomarkers for renal disease. However, the abundant urinary protein, uromodulin, cofractionates with exosomes during isolation and represents a practical contaminant that limits MS sensitivity. Uromodulin depletion has been attempted but is labor- and time-intensive and may remove important protein bioma...

  19. Identification and characterization of the pseudorabies virus UL43 protein

    Among the least characterized herpesvirus membrane proteins are the homologs of UL43 of herpes simplex virus 1 (HSV-1). To identify and characterize the UL43 protein of pseudorabies virus (PrV), part of the open reading frame was expressed in Escherichia coli and used for immunization of a rabbit. The antiserum recognized in Western blots a 34-kDa protein in lysates of PrV infected cells and purified virions, demonstrating that the UL43 protein is a virion component. In indirect immunofluorescence analysis, the antiserum labeled vesicular structures in PrV infected cells which also contained glycoprotein B. To functionally analyze UL43, a deletion mutant was constructed lacking amino acids 23-332 of the 373aa protein. This mutant was only slightly impaired in replication as assayed by one-step growth kinetics, measurement of plaque sizes, and electron microscopy. Interestingly, the PrV UL43 protein was able to inhibit fusion induced by PrV glycoproteins in a transient expression-fusion assay to a similar extent as gM. Double mutant viruses lacking, in addition to UL43, the multiply membrane spanning glycoproteins K or M did not show a phenotype beyond that observed in the gK and gM single deletion mutants

  20. Biomarkers for ragwort poisoning in horses: identification of protein targets

    Beynon Robert J

    2008-08-01

    Full Text Available Abstract Background Ingestion of the poisonous weed ragwort (Senecio jacobea by horses leads to irreversible liver damage. The principal toxins of ragwort are the pyrrolizidine alkaloids that are rapidly metabolised to highly reactive and cytotoxic pyrroles, which can escape into the circulation and bind to proteins. In this study a non-invasive in vitro model system has been developed to investigate whether pyrrole toxins induce specific modifications of equine blood proteins that are detectable by proteomic methods. Results One dimensional gel electrophoresis revealed a significant alteration in the equine plasma protein profile following pyrrole exposure and the formation of a high molecular weight protein aggregate. Using mass spectrometry and confirmation by western blotting the major components of this aggregate were identified as fibrinogen, serum albumin and transferrin. Conclusion These findings demonstrate that pyrrolic metabolites can modify equine plasma proteins. The high molecular weight aggregate may result from extensive inter- and intra-molecular cross-linking of fibrinogen with the pyrrole. This model has the potential to form the basis of a novel proteomic strategy aimed at identifying surrogate protein biomarkers of ragwort exposure in horses and other livestock.

  1. High sensitivity identification of membrane proteins by MALDI TOF-MASS spectrometry using polystyrene beads.

    Bensalem, Noura; Masscheleyn, Sandrine; Mozo, Julien; Vallée, Benoit; Brouillard, Franck; Trudel, Stéphanie; Ricquier, Daniel; Edelman, Aleksander; Guerrera, Ida Chiara; Miroux, Bruno

    2007-04-01

    Membrane proteins play a large variety of functions in life and represent 30% of all genomes sequenced. Due to their hydrophobic nature, they are tightly bound to their biological membrane, and detergents are always required to extract and isolate them before identification by mass spectrometry (MS). The latter, however remains difficult. Peptide mass fingerprinting methods using techniques such as MALDI-TOF MS, for example, have become an important analytical tool in the identification of proteins. However, PMF of membrane proteins is a real challenge for at least three reasons. First, membrane proteins are naturally present at low levels; second, most of the detergents strongly inhibit proteases and have deleterious effects on MALDI spectra; and third, despite the presence of detergent, membrane proteins are unstable and often aggregate. We took the mitochondrial uncoupling protein 1 (UCP1) as a model and showed that differential acetonitrile extraction of tryptic peptides combined with the use of polystirene Bio-Beads triggered high resolution of the MALDI-TOF identification of mitochondrial membrane proteins solubilized either with Triton-X100 or CHAPS detergents. PMID:17355127

  2. Identification of cancer protein biomarkers using proteomic techniques

    Mor, Gil G; Ward, David C; Bray-Ward, Patricia

    2015-03-10

    The claimed invention describes methods to diagnose or aid in the diagnosis of cancer. The claimed methods are based on the identification of biomarkers which are particularly well suited to discriminate between cancer subjects and healthy subjects. These biomarkers were identified using a unique and novel screening method described herein. The biomarkers identified herein can also be used in the prognosis and monitoring of cancer. The invention comprises the use of leptin, prolactin, OPN and IGF-II for diagnosing, prognosis and monitoring of ovarian cancer.

  3. Identification of cancer protein biomarkers using proteomic techniques

    Mor, Gil G. (Cheshire, CT); Ward, David C. (Las Vegas, NV); Bray-Ward, Patricia (Las Vegas, NV)

    2010-02-23

    The claimed invention describes methods to diagnose or aid in the diagnosis of cancer. The claimed methods are based on the identification of biomarkers which are particularly well suited to discriminate between cancer subjects and healthy subjects. These biomarkers were identified using a unique and novel screening method described herein. The biomarkers identified herein can also be used in the prognosis and monitoring of cancer. The invention comprises the use of leptin, prolactin, OPN and IGF-II for diagnosing, prognosis and monitoring of ovarian cancer.

  4. Identification of Actin-Binding Proteins from Maize Pollen

    Staiger, C.J.

    2004-01-13

    Specific Aims--The goal of this project was to gain an understanding of how actin filament organization and dynamics are controlled in flowering plants. Specifically, we proposed to identify unique proteins with novel functions by investigating biochemical strategies for the isolation and characterization of actin-binding proteins (ABPs). In particular, our hunt was designed to identify capping proteins and nucleation factors. The specific aims included: (1) to use F-actin affinity chromatography (FAAC) as a general strategy to isolate pollen ABPs (2) to produce polyclonal antisera and perform subcellular localization in pollen tubes (3) to isolate cDNA clones for the most promising ABPs (4) to further purify and characterize ABP interactions with actin in vitro. Summary of Progress By employing affinity chromatography on F-actin or DNase I columns, we have identified at least two novel ABPs from pollen, PrABP80 (gelsolin-like) and ZmABP30, We have also cloned and expressed recombinant protein, as well as generated polyclonal antisera, for 6 interesting ABPs from Arabidopsis (fimbrin AtFIM1, capping protein a/b (AtCP), adenylyl cyclase-associated protein (AtCAP), AtCapG & AtVLN1). We performed quantitative analyses of the biochemical properties for two of these previously uncharacterized ABPs (fimbrin and capping protein). Our studies provide the first evidence for fimbrin activity in plants, demonstrate the existence of barbed-end capping factors and a gelsolin-like severing activity, and provide the quantitative data necessary to establish and test models of F-actin organization and dynamics in plant cells.

  5. Proteomic identification of secreted proteins of Propionibacterium acnes

    Holland Carsten

    2010-08-01

    Full Text Available Abstract Background The anaerobic Gram-positive bacterium Propionibacterium acnes is a human skin commensal that resides preferentially within sebaceous follicles; however, it also exhibits many traits of an opportunistic pathogen, playing roles in a variety of inflammatory diseases such as acne vulgaris. To date, the underlying disease-causing mechanisms remain ill-defined and knowledge of P. acnes virulence factors remains scarce. Here, we identified proteins secreted during anaerobic cultivation of a range of skin and clinical P. acnes isolates, spanning the four known phylogenetic groups. Results Culture supernatant proteins of P. acnes were separated by two-dimensional electrophoresis (2-DE and all Coomassie-stained spots were subsequently identified by MALDI mass spectrometry (MALDI-MS. A set of 20 proteins was secreted in the mid-exponential growth phase by the majority of strains tested. Functional annotation revealed that many of these common proteins possess degrading activities, including glycoside hydrolases with similarities to endoglycoceramidase, β-N-acetylglucosaminidase and muramidase; esterases such as lysophospholipase and triacylglycerol lipase; and several proteases. Other secreted factors included Christie-Atkins-Munch-Petersen (CAMP factors, glyceraldehyde 3-phosphate dehydrogenase (GAPDH, and several hypothetical proteins, a few of which are unique to P. acnes. Strain-specific differences were apparent, mostly in the secretion of putative adhesins, whose genes exhibit variable phase variation-like sequence signatures. Conclusions Our proteomic investigations have revealed that the P. acnes secretome harbors several proteins likely to play a role in host-tissue degradation and inflammation. Despite a large overlap between the secretomes of all four P. acnes phylotypes, distinct differences between predicted host-tissue interacting proteins were identified, providing potential insight into the differential virulence

  6. Identification of Anaplasma marginale type IV secretion system effector proteins.

    Svetlana Lockwood

    Full Text Available BACKGROUND: Anaplasma marginale, an obligate intracellular alphaproteobacterium in the order Rickettsiales, is a tick-borne pathogen and the leading cause of anaplasmosis in cattle worldwide. Complete genome sequencing of A. marginale revealed that it has a type IV secretion system (T4SS. The T4SS is one of seven known types of secretion systems utilized by bacteria, with the type III and IV secretion systems particularly prevalent among pathogenic Gram-negative bacteria. The T4SS is predicted to play an important role in the invasion and pathogenesis of A. marginale by translocating effector proteins across its membrane into eukaryotic target cells. However, T4SS effector proteins have not been identified and tested in the laboratory until now. RESULTS: By combining computational methods with phylogenetic analysis and sequence identity searches, we identified a subset of potential T4SS effectors in A. marginale strain St. Maries and chose six for laboratory testing. Four (AM185, AM470, AM705 [AnkA], and AM1141 of these six proteins were translocated in a T4SS-dependent manner using Legionella pneumophila as a reporter system. CONCLUSIONS: The algorithm employed to find T4SS effector proteins in A. marginale identified four such proteins that were verified by laboratory testing. L. pneumophila was shown to work as a model system for A. marginale and thus can be used as a screening tool for A. marginale effector proteins. The first T4SS effector proteins for A. marginale have been identified in this work.

  7. Systematic identification of proteins that elicit drug side effects

    Kuhn, Michael; Al Banchaabouchi, Mumna; Campillos, Monica;

    2013-01-01

    Side effect similarities of drugs have recently been employed to predict new drug targets, and networks of side effects and targets have been used to better understand the mechanism of action of drugs. Here, we report a large-scale analysis to systematically predict and characterize proteins that...... responsible for hyperesthesia in mice, which, in turn, can be prevented by a drug that selectively inhibits HTR7. Taken together, we show that a large fraction of complex drug side effects are mediated by individual proteins and create a reference for such relations.......Side effect similarities of drugs have recently been employed to predict new drug targets, and networks of side effects and targets have been used to better understand the mechanism of action of drugs. Here, we report a large-scale analysis to systematically predict and characterize proteins that...... cause drug side effects. We integrated phenotypic data obtained during clinical trials with known drug-target relations to identify overrepresented protein-side effect combinations. Using independent data, we confirm that most of these overrepresentations point to proteins which, when perturbed, cause...

  8. Identification of three novel Toxoplasma gondii rhoptry proteins

    Camejo, Ana; Gold, Daniel A.; Lu, Diana; McFetridge, Kiva; Julien, Lindsay; Yang, Ninghan; Jensen, Kirk D. C.; Saeij, Jeroen P.J

    2013-01-01

    The rhoptries are key secretory organelles from apicomplexan parasites that contain proteins involved in invasion and modulation of the host cell. Some rhoptry proteins are restricted to the posterior bulb (ROPs) and others to the anterior neck (RONs). As many rhoptry proteins have been shown to be key players in Toxoplasma invasion and virulence, it is important to identify, understand and characterize the biological function of the components of the rhoptries. In this report, we identified putative novel rhoptry candidate genes by identifying Toxoplasma genes with similar cyclical expression profiles as known rhoptry protein encoding genes across its cell cycle. Using this approach we identified two new rhoptry bulb (ROP47 and ROP48) and one new rhoptry neck protein (RON12). ROP47 is secreted and traffics to the host cell nucleus, RON12 was not detected at the moving junction during invasion. Deletion of ROP47 or ROP48 in a type II strain did not show major influence in in vitro growth or virulence in mice. PMID:24070999

  9. Phytochip: development of a DNA-microarray for rapid and accurate identification of Pseudo-nitzschia spp and other harmful algal species.

    Noyer, Charlotte; Abot, Anne; Trouilh, Lidwine; Leberre, Véronique Anton; Dreanno, Catherine

    2015-05-01

    Detection of harmful algal blooms has become a challenging concern because of the direct impacts on public health and economy. The identification of toxic dinoflagellates and diatoms in monitoring programs requires an extensive taxonomic expertise and is time consuming. Advances in molecular biology have allowed the development of new approaches, more rapid, accurate and cost-effective for detecting these microorganisms. In this context, we developed a new DNA microarray (called, Phytochip) for the simultaneous detection of multiple HAB species with a particular emphasis on Pseudo-nitzschia species. Oligonucleotide probes were designed along the rRNA operon. After DNA extraction, the target rDNA genes were amplified and labeled using an asymmetric PCR; then, the amplicons were hybridized to the oligonucleotide probes present on the chips. The total assay from seawater sampling to data acquisition can be performed within a working day. Specificity and sensitivity were assessed by using monoclonal cultures, mixtures of species and field samples spiked with a known amount of cultured cells. The Phytochip with its 81 validated oligonucleotide probes was able to detect 12 species of Pseudo-nitzschia and 11 species of dinoflagellates among which were 3 species of Karenia and 3 species of Alexandrium. The Phytochip was applied to environmental samples already characterized by light microscopy and cloned into DNA libraries. The hybridizations on the Phytochip were in good agreement with the sequences retrieved from the clone libraries and the microscopic observations. The Phytochip enables a reliable multiplex detection of phytoplankton and can assist a water quality monitoring program as well as more general ecological research. PMID:25765159

  10. The need for improved identification and accurate classification of stages 3-5 Chronic Kidney Disease in primary care: retrospective cohort study.

    Poorva Jain

    Full Text Available BACKGROUND: Around ten percent of the population have been reported as having Chronic Kidney Disease (CKD, which is associated with increased cardiovascular mortality. Few previous studies have ascertained the chronicity of CKD. In the UK, a payment for performance (P4P initiative incentivizes CKD (stages 3-5 recognition and management in primary care, but the impact of this has not been assessed. METHODS AND FINDINGS: Using data from 426 primary care practices (population 2,707,130, the age standardised prevalence of stages 3-5 CKD was identified using two consecutive estimated Glomerular Filtration Rates (eGFRs seven days apart. Additionally the accuracy of practice CKD registers and the relationship between accurate identification of CKD and the achievement of P4P indicators was determined. Between 2005 and 2009, the prevalence of stages 3-5 CKD increased from 0.3% to 3.9%. In 2009, 30,440 patients (1.1% unadjusted fulfilled biochemical criteria for CKD but were not on a practice CKD register (uncoded CKD and 60,705 patients (2.2% unadjusted were included on a practice CKD register but did not fulfil biochemical criteria (miscoded CKD. For patients with confirmed CKD, inclusion in a practice register was associated with increasing age, male sex, diabetes, hypertension, cardiovascular disease and increasing CKD stage (p<0.0001. Uncoded CKD patients compared to miscoded patients were less likely to achieve performance indicators for blood pressure (OR 0.84, 95% CI 0.82-0.86 p<0.001 or recorded albumin-creatinine ratio (OR 0.73, 0.70-0.76, p<0.001. CONCLUSIONS: The prevalence of stages 3-5 CKD, using two laboratory reported eGFRs, was lower than estimates from previous studies. Clinically significant discrepancies were identified between biochemically defined CKD and appearance on practice registers, with misclassification associated with sub-optimal care for some people with CKD.

  11. Identification of outer membrane proteins of Mycobacterium tuberculosis.

    Song, Houhui; Sandie, Reatha; Wang, Ying; Andrade-Navarro, Miguel A; Niederweis, Michael

    2008-11-01

    The cell wall of mycobacteria includes an unusual outer membrane of extremely low permeability. While Escherichia coli uses more than 60 proteins to functionalize its outer membrane, only two mycobacterial outer membrane proteins (OMPs) are known. The porin MspA of Mycobacterium smegmatis provided the proof of principle that integral mycobacterial OMPs share the beta-barrel structure, the absence of hydrophobic alpha-helices and the presence of a signal peptide with OMPs of gram-negative bacteria. These properties were exploited in a multi-step bioinformatic approach to predict OMPs of M. tuberculosis. A secondary structure analysis was performed for 587 proteins of M. tuberculosis predicted to be exported. Scores were calculated for the beta-strand content and the amphiphilicity of the beta-strands. Reference OMPs of gram-negative bacteria defined threshold values for these parameters that were met by 144 proteins of unknown function of M. tuberculosis. Two of them were verified as OMPs by a novel two-step experimental approach. Rv1698 and Rv1973 were detected only in the total membrane fraction of M. bovis BCG in Western blot experiments, while proteinase K digestion of whole cells showed the surface accessibility of these proteins. These findings established that Rv1698 and Rv1973 are indeed localized in the outer membrane and tripled the number of known OMPs of M. tuberculosis. Significantly, these results provide evidence for the usefulness of the bioinformatic approach to predict mycobacterial OMPs and indicate that M. tuberculosis likely has many OMPs with beta-barrel structure. Our findings pave the way to identify the set of proteins which functionalize the outer membrane of M. tuberculosis. PMID:18439872

  12. Identification of Dominant Immunogenic Bacteria and Bacterial Proteins in Periodontitis

    Agerbæk, Mette Rylev; Haubek, Dorte; Birkelund, Svend;

    Marginal periodontitis is considered an infectious disease that triggers host inflammatory responses resulting in destruction of the periodontium. A complex biofilm of bacteria is associated with periodontitis. Some species have been identified as putative pathogens such as Porphyromonas gingivalis...... (P.g) and Actinobacillus actinomycetemcomitans (A.a), but the identity of dominate immunogens of these bacteria is poorly elucidated. The aim of the study was to identify dominant immunogenic proteins of P.g and A.a in patients suffering from chronic and aggressive periodontitis by proteomic analysis...... will be able to identify immunodominant proteins and potentially important virulence factors of putative periodontal pathogens....

  13. Ultrasensitive isolation, identification and quantification of DNA–protein adducts by ELISA-based RADAR assay

    Kiianitsa, Kostantin; Maizels, Nancy

    2014-01-01

    Enzymes that form transient DNA–protein covalent complexes are targets for several potent classes of drugs used to treat infectious disease and cancer, making it important to establish robust and rapid procedures for analysis of these complexes. We report a method for isolation of DNA–protein adducts and their identification and quantification, using techniques compatible with high-throughput screening. This method is based on the RADAR assay for DNA adducts that we previously developed (Kiia...

  14. Identification of Two RNA-binding Proteins Associated with Human Telomerase RNA

    Le, Siyuan; Sternglanz, Rolf; Greider, Carol W

    2000-01-01

    Telomerase plays a crucial role in telomere maintenance in vivo. To understand telomerase regulation, we have been characterizing components of the enzyme. To date several components of the mammalian telomerase holoenzyme have been identified: the essential RNA component (human telomerase RNA [hTR]), the catalytic subunit human telomerase reverse transcriptase (hTERT), and telomerase-associated protein 1. Here we describe the identification of two new proteins that interact with hTR: hStau an...

  15. Identification and Characterization of a Highly Conserved Crenarchaeal Protein Lysine Methyltransferase with Broad Substrate Specificity

    Chu, Yindi; Zhang, Zhenfeng; Wang, Qian; Luo, Yuanming; Huang, Li

    2012-01-01

    Protein lysine methylation occurs extensively in the Crenarchaeota, a major kingdom in the Archaea. However, the enzymes responsible for this type of posttranslational modification have not been found. Here we report the identification and characterization of the first crenarchaeal protein lysine methyltransferase, designated aKMT, from the hyperthermophilic crenarchaeon Sulfolobus islandicus. The enzyme was capable of transferring methyl groups to selected lysine residues in a substrate prot...

  16. Identification and evaluation of new reference genes in Gossypium hirsutum for accurate normalization of real-time quantitative RT-PCR data

    Alves-Ferreira Marcio

    2010-03-01

    Full Text Available Abstract Background Normalizing through reference genes, or housekeeping genes, can make more accurate and reliable results from reverse transcription real-time quantitative polymerase chain reaction (qPCR. Recent studies have shown that no single housekeeping gene is universal for all experiments. Thus, suitable reference genes should be the first step of any qPCR analysis. Only a few studies on the identification of housekeeping gene have been carried on plants. Therefore qPCR studies on important crops such as cotton has been hampered by the lack of suitable reference genes. Results By the use of two distinct algorithms, implemented by geNorm and NormFinder, we have assessed the gene expression of nine candidate reference genes in cotton: GhACT4, GhEF1α5, GhFBX6, GhPP2A1, GhMZA, GhPTB, GhGAPC2, GhβTUB3 and GhUBQ14. The candidate reference genes were evaluated in 23 experimental samples consisting of six distinct plant organs, eight stages of flower development, four stages of fruit development and in flower verticils. The expression of GhPP2A1 and GhUBQ14 genes were the most stable across all samples and also when distinct plants organs are examined. GhACT4 and GhUBQ14 present more stable expression during flower development, GhACT4 and GhFBX6 in the floral verticils and GhMZA and GhPTB during fruit development. Our analysis provided the most suitable combination of reference genes for each experimental set tested as internal control for reliable qPCR data normalization. In addition, to illustrate the use of cotton reference genes we checked the expression of two cotton MADS-box genes in distinct plant and floral organs and also during flower development. Conclusion We have tested the expression stabilities of nine candidate genes in a set of 23 tissue samples from cotton plants divided into five different experimental sets. As a result of this evaluation, we recommend the use of GhUBQ14 and GhPP2A1 housekeeping genes as superior references

  17. Biomarkers of Aspergillus spores: Strain typing and protein identification

    Šulc, Miroslav; Pešlová, Kateřina; Žabka, Martin; Hajdúch, M.; Havlíček, Vladimír

    2009-01-01

    Roč. 280, 1-3 (2009), s. 162-168. ISSN 1387-3806 R&D Projects: GA MŠk LC07017; GA ČR GP203/05/P575 Institutional research plan: CEZ:AV0Z50200510 Keywords : aspergillus * spore * protein Subject RIV: EE - Microbiology, Virology Impact factor: 2.117, year: 2009

  18. The identification of matrix Gla protein in cartilage.

    Hale, J E; Fraser, J D; Price, P A

    1988-04-25

    The vitamin K-dependent bone protein matrix gamma-carboxyglutamic acid (Gla) protein (MGP) has been identified by radioimmunoassay in the guanidine extract of rat cartilage. MGP was present in all cartilages tested at levels comparable to the MGP level in bone. Western blot analysis indicated that the molecular weight of cartilage MGP is the same as bone MGP, and Northern blot analysis revealed that MGP mRNA from cartilage is the same size as the MGP mRNA from bone. The structurally related vitamin K-dependent protein bone Gla protein could not be detected in cartilage by radioimmunoassay or by Northern blot analysis. The discovery that MGP is synthesized by growth plate cartilage could provide an explanation for the excessive growth plate mineralization disorder seen in rats treated with the vitamin K antagonist warfarin and the punctate mineralization of the growth plate seen in infants whose mothers received warfarin in the first trimester of pregnancy (the fetal warfarin syndrome). Both disorders appear to be caused by the inactivation of a vitamin K-dependent mineralization inhibitor in cartilage, an inhibitor which we suggest is MGP. PMID:3258600

  19. Proteomic identification of gluten proteins in relation to celiac disease

    Šalplachta, Jiří

    Jena: ESF, 2008. s. 48. [Central and Eastern European Proteomic Conference /2./. 12.10.2008-15.10.2008, Jena] R&D Projects: GA MZe 1B53002 Institutional research plan: CEZ:AV0Z40310501 Keywords : proteomics * gluten * celiac-related proteins Subject RIV: CB - Analytical Chemistry, Separation

  20. Identification of Enhancer Binding Proteins Important for Myxococcus xanthus Development▿

    Giglio, Krista M.; Eisenstatt, Jessica; Garza, Anthony G.

    2009-01-01

    Enhancer binding proteins (EBPs) control the temporal expression of fruiting body development-associated genes in Myxococcus xanthus. Eleven previously uncharacterized EBP genes were inactivated. Six EBP gene mutations produced minor but reproducible defects in fruiting body development. One EBP gene mutation that affected A-motility produced strong developmental defects.

  1. Screening and identification of proteins interacting with nucleostemin

    Hai-Xia Yang; Geng-Lin Jin; Ling Meng; Jian-Zhi Zhang; Wen-Bin Liu; Cheng-Chao Shou

    2005-01-01

    AIM: To identify the proteins interacting with nucleostemin (NS), thereby gaining an insight into the function of NS.METHODS: Yeast two-hybrid assay was performed to screen a human placenta cDNA library with the full length of NS as a bait. X-Gal assay and β-galactosidase filter assay were subsequently conducted to check the positive clones and the gene was identified by DNA sequencing.To further confirm the interaction of two proteins, the DNA fragment coding NS and the DNA fragment isolated from the positive clone were inserted into the mammalian expression vector pcDNA3 and pcDNA3-myc, respectively.Then, two plasmids were cotransfected into the COS-7 cells by DEAE-dextron. The total protein from the cotransfected cells was extracted and coimmunoprecipitation and Western blot were performed with suitable antibodies sequentially.RESULTS: Two positive clones that interacted with NS were obtained from human placenta cDNA library. One was an alpha isoform of human protein phosphatase 2 regulatory subunit B (B56) (PPP2R5A) and the other was a novel gene being highly homologous to the gene associated with spondylo paralysis. The co-immunoprecipitation also showed that NS specifically interacted with PPP2R5A.CONCLUSION: NS and PPP2R5A interact in yeast and mammalian cells, respectively, which is helpful for addressing the function of NS in cancer development and progression.

  2. PSI/TM-Coffee: a web server for fast and accurate multiple sequence alignments of regular and transmembrane proteins using homology extension on reduced databases.

    Floden, Evan W; Tommaso, Paolo D; Chatzou, Maria; Magis, Cedrik; Notredame, Cedric; Chang, Jia-Ming

    2016-07-01

    The PSI/TM-Coffee web server performs multiple sequence alignment (MSA) of proteins by combining homology extension with a consistency based alignment approach. Homology extension is performed with Position Specific Iterative (PSI) BLAST searches against a choice of redundant and non-redundant databases. The main novelty of this server is to allow databases of reduced complexity to rapidly perform homology extension. This server also gives the possibility to use transmembrane proteins (TMPs) reference databases to allow even faster homology extension on this important category of proteins. Aside from an MSA, the server also outputs topological prediction of TMPs using the HMMTOP algorithm. Previous benchmarking of the method has shown this approach outperforms the most accurate alignment methods such as MSAProbs, Kalign, PROMALS, MAFFT, ProbCons and PRALINE™. The web server is available at http://tcoffee.crg.cat/tmcoffee. PMID:27106060

  3. Web and database software for identification of intact proteins using "top down" mass spectrometry.

    Taylor, Gregory K; Kim, Yong-Bin; Forbes, Andrew J; Meng, Fanyu; McCarthy, Ryan; Kelleher, Neil L

    2003-08-15

    For the identification and characterization of proteins harboring posttranslational modifications (PTMs), a "top down" strategy using mass spectrometry has been forwarded recently but languishes without tailored software widely available. We describe a Web-based software and database suite called ProSight PTM constructed for large-scale proteome projects involving direct fragmentation of intact protein ions. Four main components of ProSight PTM are a database retrieval algorithm (Retriever), MySQL protein databases, a file/data manager, and a project tracker. Retriever performs probability-based identifications from absolute fragment ion masses, automatically compiled sequence tags, or a combination of the two, with graphical rendering and browsing of the results. The database structure allows known and putative protein forms to be searched, with prior or predicted PTM knowledge used during each search. Initial functionality is illustrated with a 36-kDa yeast protein identified from a processed cell extract after automated data acquisition using a quadrupole-FT hybrid mass spectrometer. A +142-Da delta(m) on glyceraldehyde-3-phosphate dehydrogenase was automatically localized between Asp90 and Asp192, consistent with its two cystine residues (149 and 153) alkylated by acrylamide (+71 Da each) during the gel-based sample preparation. ProSight PTM is the first search engine and Web environment for identification of intact proteins (https://prosightptm.scs.uiuc.edu/). PMID:14632120

  4. Identification of antigenic proteins of the nosocomial pathogen Klebsiella pneumoniae.

    Sebastian Hoppe

    Full Text Available The continuous expansion of nosocomial infections around the globe has become a precarious situation. Key challenges include mounting dissemination of multiple resistances to antibiotics, the easy transmission and the growing mortality rates of hospital-acquired bacterial diseases. Thus, new ways to rapidly detect these infections are vital. Consequently, researchers around the globe pursue innovative approaches for point-of-care devices. In many cases the specific interaction of an antigen and a corresponding antibody is pivotal. However, the knowledge about suitable antigens is lacking. The aim of this study was to identify novel antigens as specific diagnostic markers. Additionally, these proteins might be aptly used for the generation of vaccines to improve current treatment options. Hence, a cDNA-based expression library was constructed and screened via microarrays to detect novel antigens of Klebsiella pneumoniae, a prominent agent of nosocomial infections well-known for its extensive antibiotics resistance, especially by extended-spectrum beta-lactamases (ESBL. After screening 1536 clones, 14 previously unknown immunogenic proteins were identified. Subsequently, each protein was expressed in full-length and its immunodominant character examined by ELISA and microarray analyses. Consequently, six proteins were selected for epitope mapping and three thereof possessed linear epitopes. After specificity analysis, homology survey and 3d structural modelling, one epitope sequence GAVVALSTTFA of KPN_00363, an ion channel protein, was identified harboring specificity for K. pneumoniae. The remaining epitopes showed ambiguous results regarding the specificity for K. pneumoniae. The approach adopted herein has been successfully utilized to discover novel antigens of Campylobacter jejuni and Salmonella enterica antigens before. Now, we have transferred this knowledge to the key nosocomial agent, K. pneumoniae. By identifying several novel antigens

  5. Identification of the N gene protein of bacteriophage lambda

    The N gene protein, pN, of bacteriophage lambda stimulates early gene transcription by allowing mRNA chain elongation to proceed into genes distal to transcription termination sites normally recognized by the Escherichia coli transcription termination protein rho. pN has previously eluded detection on sodium dodecyl sulfate/polyacrylamide gels because of its small size, its instability, and the difficulty of distinguising pN itself both from host proteins and from other early lambda proteins whose synthesis depends on pN action. These problems have now been overcome and we find that the major form of pN present in crude cell extracts of infected cells has an apparent molecular weight of 13,500. Lambda bio256, a deletion-substitution mutant terminating in N, codes for a shorter pN of molecular weight 12,500. A nonsense fragment of 10,500 molecular weight coded by lambda N/sub am7/ has also been identified. These conclusions are based on examination of the electrophoretic profiles of the proteins synthesized after infection of UV-irradiated E. coli by various lambda N- temperature-sensitive, nonsense, and deletion-substitution mutants. It has also been possible to distinguish pN itself from other early lambda polypeptides by infecting ron- cells with either lambda N/sub mar/ phage allowing pN synthesis but not pN action or lambda N/sub am/ phage defective in pN synthesis and pN action. Our results together with previous data are discussed with respect to the possible existence of multiple molecular weight forms of pN and the location of the coding sequences in the N gene region

  6. A novel protein complex identification algorithm based on Connected Affinity Clique Extension (CACE).

    Li, Peng; He, Tingting; Hu, Xiaohua; Zhao, Junmin; Shen, Xianjun; Zhang, Ming; Wang, Yan

    2014-06-01

    A novel algorithm based on Connected Affinity Clique Extension (CACE) for mining overlapping functional modules in protein interaction network is proposed in this paper. In this approach, the value of protein connected affinity which is inferred from protein complexes is interpreted as the reliability and possibility of interaction. The protein interaction network is constructed as a weighted graph, and the weight is dependent on the connected affinity coefficient. The experimental results of our CACE in two test data sets show that the CACE can detect the functional modules much more effectively and accurately when compared with other state-of-art algorithms CPM and IPC-MCE. PMID:24803142

  7. Mass Spectrometric Identification of the Arginine and Lysine deficient Proline Rich Glutamine Rich Wheat Storage Proteins

    Tandem mass spectrometry (MS/MS) of enzymatic digest has made possible identification of a wide variety of proteins and complex samples prepared by such techniques as RP-HPLC or 2-D gel electrophoresis. Success requires peptide fragmentation to be indicative of the peptide amino acid sequence. The f...

  8. Accurate measurements of 13C-13C distances in uniformly 13C-labeled proteins using multi-dimensional four-oscillating field solid-state NMR spectroscopy

    Application of sets of 13C-13C internuclear distance restraints constitutes a typical key element in determining the structure of peptides and proteins by magic-angle-spinning solid-state NMR spectroscopy. Accurate measurements of the structurally highly important 13C-13C distances in uniformly 13C-labeled peptides and proteins, however, pose a big challenge due to the problem of dipolar truncation. Here, we present novel two-dimensional (2D) solid-state NMR experiments capable of extracting distances between carbonyl (13C′) and aliphatic (13Caliphatic) spins with high accuracy. The method is based on an improved version of the four-oscillating field (FOLD) technique [L. A. Straasø, M. Bjerring, N. Khaneja, and N. C. Nielsen, J. Chem. Phys. 130, 225103 (2009)] which circumvents the problem of dipolar truncation, thereby offering a base for accurate extraction of internuclear distances in many-spin systems. The ability to extract reliable accurate distances is demonstrated using one- and two-dimensional variants of the FOLD experiment on uniformly 13C,15N-labeled-L-isoleucine. In a more challenging biological application, FOLD 2D experiments are used to determine a large number of 13C′-13Caliphatic distances in amyloid fibrils formed by the SNNFGAILSS fibrillating core of the human islet amyloid polypeptide with uniform 13C,15N-labeling on the FGAIL fragment

  9. Identification of a 5-protein biomarker molecular signature for predicting Alzheimer's disease.

    Martín Gómez Ravetti

    Full Text Available BACKGROUND: Alzheimer's disease (AD is a progressive brain disease with a huge cost to human lives. The impact of the disease is also a growing concern for the governments of developing countries, in particular due to the increasingly high number of elderly citizens at risk. Alzheimer's is the most common form of dementia, a common term for memory loss and other cognitive impairments. There is no current cure for AD, but there are drug and non-drug based approaches for its treatment. In general the drug-treatments are directed at slowing the progression of symptoms. They have proved to be effective in a large group of patients but success is directly correlated with identifying the disease carriers at its early stages. This justifies the need for timely and accurate forms of diagnosis via molecular means. We report here a 5-protein biomarker molecular signature that achieves, on average, a 96% total accuracy in predicting clinical AD. The signature is composed of the abundances of IL-1alpha, IL-3, EGF, TNF-alpha and G-CSF. METHODOLOGY/PRINCIPAL FINDINGS: Our results are based on a recent molecular dataset that has attracted worldwide attention. Our paper illustrates that improved results can be obtained with the abundance of only five proteins. Our methodology consisted of the application of an integrative data analysis method. This four step process included: a abundance quantization, b feature selection, c literature analysis, d selection of a classifier algorithm which is independent of the feature selection process. These steps were performed without using any sample of the test datasets. For the first two steps, we used the application of Fayyad and Irani's discretization algorithm for selection and quantization, which in turn creates an instance of the (alpha-beta-k-Feature Set problem; a numerical solution of this problem led to the selection of only 10 proteins. CONCLUSIONS/SIGNIFICANCE: the previous study has provided an extremely

  10. Serum copeptin and cortisol do not accurately predict sickle cell anaemia vaso-occlusive crisis as C-reactive protein.

    Kehinde Sola Akinlade

    Full Text Available OBJECTIVE: This study assessed the diagnostic performance and prognostic properties of C-reactive protein (CRP, copeptin and cortisol in individuals with sickle cell anaemia (SCA. DESIGN: Prospective case-control study. METHODS: Sixty consecutive SCA subjects (18-40 years comprising 30 subjects in the steady state and 30 subjects in vaso-occlusive crisis (VOC were recruited into this study. Thirty (30 apparently healthy individuals with HbAA genotype served as controls. ELISA was used for the determination of serum levels of copeptin, CRP and cortisol. Data obtained were statistically analyzed using the Student's t-test and Mann Whitney U as appropriate and P<0.05 was considered significant. RESULTS: SCA subjects in VOC had significantly lower copeptin level and significantly higher CRP level compared with controls. However, serum levels of copeptin, cortisol and CRP were significantly higher in SCA subjects in VOC compared with SCA subjects in steady state. Furthermore, CRP had the widest Area under the ROC curve (AUROC than copeptin and cortisol. No significant difference was observed in the levels of copeptin, CRP and cortisol when SCA subjects in VOC who were hospitalized for less ≤ 5 days were compared with subjects who had longer stays. CONCLUSION: It could be concluded that C-reactive protein has a superior diagnostic performance for vaso-occlusive crisis in individuals with sickle cell anaemia and that C-reactive protein, cortisol and copeptin are not good prognostic markers in SCA subjects in vaso-occlusive crisis.

  11. Multiplex PCR Assay for Direct Identification of Group B Streptococcal Alpha-Protein-Like Protein Genes

    Creti, Roberta; Fabretti, Francesca; Orefici, Graziella; von Hunolstein, Christina

    2004-01-01

    We developed a group B streptococcus multiplex PCR assay which allows, by direct analysis of the amplicon size, determination of the surface protein antigen genes of alpha-C protein, epsilon protein, Rib, Alp2, Alp3, and Alp4. The multiplex PCR assay offers a rapid and simple method of subtyping Streptococcus agalactiae based on surface protein genes.

  12. Identification of a cell membrane protein that binds alveolar surfactant.

    Strayer, D. S.

    1991-01-01

    Alveolar surfactants are complex mixtures of proteins and phospholipids produced by type II alveolar cells and responsible for lowering pulmonary surface tension. The process by which surfactant is produced and exported and by which its production by pulmonary cells is regulated are not well understood. This study was designed to identify a cellular receptor for surfactant constituents. To do so, monoclonal anti-idiotypic antibodies directed against antibodies to porcine and rabbit surfactant...

  13. Identification of Genes Coding for Exported Proteins of Actinobacillus actinomycetemcomitans

    Mintz, Keith P.; Fives-Taylor, Paula M.

    1999-01-01

    Random fusions of genomic DNA fragments to a partial gene encoding a signal sequence-deficient bacterial alkaline phosphatase were utilized to screen for exported proteins of Actinobacillus actinomycetemcomitans in Escherichia coli. Twenty-four PhoA+ clones were isolated and sequenced. Membrane localization signals in the form of signal sequences were deduced from most of these sequences. Several of the deduced amino acid sequences were found to be homologous to known exported or membrane-ass...

  14. Identification of albumin-binding proteins in capillary endothelial cells

    1988-01-01

    Isolated fat tissue microvessels and lung, whose capillary endothelia express in situ specific binding sites for albumin, were homogenized and subjected to SDS-gel electrophoresis and electroblotting. The nitrocellulose strips were incubated with either albumin-gold (Alb-Au) and directly visualized, or with [125I]albumin (monomeric or polymeric) and autoradiographed. The extracts of both microvascular endothelium and the lung express albumin-binding proteins (ABPs) represented by two pairs of...

  15. Characterization of quinone derived protein adducts and their selective identification using redox cycling based chemiluminescence assay.

    Elgawish, Mohamed Saleh; Kishikawa, Naoya; Ohyama, Kaname; Kuroda, Naotaka

    2015-07-17

    The cytotoxic mechanism of many quinones has been correlated to covalent modification of cellular proteins. However, the identification of relevant proteins targets is essential but challenging goals. To better understand the quinones cytotoxic mechanism, human serum albumin (HSA) was incubated in vitro with different concentration of menadione (MQ). In this respect, the initial nucleophilic addition of proteins to quinone converts the conjugates to redox-cycling quinoproteins with altered conformation and secondary structure and extended life span than the short lived, free quinones. The conjugation of MQ with nucleophilic sites likewise, free cysteine as well as ɛ-amino group of lysine residue of HSA has been found to be in concentration dependent manner. The conventional methods for modified proteins identification in complex mixtures are complicated and time consuming. Herein, we describe a highly selective, sensitive, simple, and fast strategy for quinoproteins identification. The suggested strategy exploited the unique redox-cycling capability of quinoproteins in presence of a reductant, dithiothreitol (DTT), to generate reactive oxygen species (ROS) that gave sufficient chemiluminescence (CL) when mixed with luminol. The CL approach is highly selective and sensitive to detect the quinoproteins in ten-fold molar excess of native proteins without adduct enrichment. The approach was also coupled with gel filtration chromatography (GFC) and used to identify adducts in complex mixture of proteins in vitro as well as in rat plasma after MQ administration. Albumin was identified as the main protein in human and rat plasma forming adduct with MQ. Overall, the identification of quinoproteins will encourage further studies of toxicological impact of quinones on human health. PMID:26044383

  16. Latest methods of fluorescence-based protein crystal identification

    Fluorescence, whether intrinsic or by using trace fluorescent labeling, can be a powerful aid in macromolecule crystallization. Its use in screening for crystals is discussed here. Successful protein crystallization screening experiments are dependent upon the experimenter being able to identify positive outcomes. The introduction of fluorescence techniques has brought a powerful and versatile tool to the aid of the crystal grower. Trace fluorescent labeling, in which a fluorescent probe is covalently bound to a subpopulation (<0.5%) of the protein, enables the use of visible fluorescence. Alternatively, one can avoid covalent modification and use UV fluorescence, exploiting the intrinsic fluorescent amino acids present in most proteins. By the use of these techniques, crystals that had previously been obscured in the crystallization drop can readily be identified and distinguished from amorphous precipitate or salt crystals. Additionally, lead conditions that may not have been obvious as such under white-light illumination can be identified. In all cases review of the screening plate is considerably accelerated, as the eye can quickly note objects of increased intensity

  17. Ultrasensitive isolation, identification and quantification of DNA-protein adducts by ELISA-based RADAR assay.

    Kiianitsa, Kostantin; Maizels, Nancy

    2014-07-01

    Enzymes that form transient DNA-protein covalent complexes are targets for several potent classes of drugs used to treat infectious disease and cancer, making it important to establish robust and rapid procedures for analysis of these complexes. We report a method for isolation of DNA-protein adducts and their identification and quantification, using techniques compatible with high-throughput screening. This method is based on the RADAR assay for DNA adducts that we previously developed (Kiianitsa and Maizels (2013) A rapid and sensitive assay for DNA-protein covalent complexes in living cells. Nucleic Acids Res., 41:e104), but incorporates three key new steps of broad applicability. (i) Silica-assisted ethanol/isopropanol precipitation ensures reproducible and efficient recovery of DNA and DNA-protein adducts at low centrifugal forces, enabling cell culture and DNA precipitation to be carried out in a single microtiter plate. (ii) Rigorous purification of DNA-protein adducts by a procedure that eliminates free proteins and free nucleic acids, generating samples suitable for detection of novel protein adducts (e.g. by mass spectroscopy). (iii) Identification and quantification of DNA-protein adducts by direct ELISA assay. The ELISA-based RADAR assay can detect Top1-DNA and Top2a-DNA adducts in human cells, and gyrase-DNA adducts in Escherichia coli. This approach will be useful for discovery and characterization of new drugs to treat infectious disease and cancer, and for development of companion diagnostics assays for individualized medicine. PMID:24914050

  18. Identification of proteins bound to a thioaptamer probe on a proteomics array

    A rapid method to screen and identify unknown bound proteins to specific nucleic acid probes anchored on ProteinChip array surfaces from crude biological samples has been developed in this paper. It was demonstrated with screening specific binding proteins from LPS-stimulated mouse 70Z/3 pre-B cell nuclear extracts by direct coupling of thioaptamer XBY-S2 to the pre-activated ProteinChip array surfaces. With pre-fractionation of crude nuclear extracts by ion exchange method, specific 'on-chip' captured proteins have been obtained that were pure enough to do 'on-chip' digestion and the subsequent identification of the 'on-chip' bound proteins by microsequencing of the trypsin digested peptide fragments through tandem MS. Five mouse heterogeneous nuclear ribonucleoproteins (hnRNPs) A1, A2/B1, A3, A/B, and D0 were identified. To verify those bound hnRNPs, a novel thioaptamer/antibody sandwich assay provides highly sensitive and selective identification of proteins on ProteinChip arrays

  19. Identification of Thylakoid Membrane Protein Complexes by Using a BN-Chip/MS Approach

    Longquan Fan; Yinghong Pan

    2012-01-01

    Thylakoid membrane protein complexes of wheat (Triticum aestivum Linn.)play crucial roles in growth and crop production.Knowledge of the composition and structure of protein complexes,as well as protein interactions,will result in a much deeper understanding of metabolic pathways and cellular processes than protein identities alone,especially if the complexes can be separated in the native forms.Whereas the analysis of membrane protein complexes is a significant challenge due to their hydrophobic properties and relatively low abundance.A rapid and efficient method of identifying membrane protein complexes will greatly facilitate the investigation of agriculture.The present work developed an BN-Chip/MS approach for exhaustive separation and identification of protein complexes,by combining using blue-native polyacrylamide gel electrophoresis (BN-PAGE) and chip-based high-performance liquid chromatography quadruple time-of-flight tandem mass spectrometry (HPLC-Chip/ESI-QT-OF-MS,Chip/MS).By using this approach,seventy-five nonredundant proteins of wheat thylakoid membrane complexes were identified from digested 13 bands of BN-gel.When the protocol of BN separation was not used,only 37 nonredundant proteins had been identified and among of them 9 proteins were uniquely identi? ed.This BN-Chip/MS approach is rapid and efficient for identifying protein complexes in wheat thylakoid membranes,and also providing reliable foundations for further functional research of wheat chloroplast and for identifying protein complexes of other species.

  20. Identification of Novel Immunogenic Proteins of Neisseria gonorrhoeae by Phage Display.

    Connor, Daniel O; Zantow, Jonas; Hust, Michael; Bier, Frank F; von Nickisch-Rosenegk, Markus

    2016-01-01

    Neisseria gonorrhoeae is one of the most prevalent sexually transmitted diseases worldwide with more than 100 million new infections per year. A lack of intense research over the last decades and increasing resistances to the recommended antibiotics call for a better understanding of gonococcal infection, fast diagnostics and therapeutic measures against N. gonorrhoeae. Therefore, the aim of this work was to identify novel immunogenic proteins as a first step to advance those unresolved problems. For the identification of immunogenic proteins, pHORF oligopeptide phage display libraries of the entire N. gonorrhoeae genome were constructed. Several immunogenic oligopeptides were identified using polyclonal rabbit antibodies against N. gonorrhoeae. Corresponding full-length proteins of the identified oligopeptides were expressed and their immunogenic character was verified by ELISA. The immunogenic character of six proteins was identified for the first time. Additional 13 proteins were verified as immunogenic proteins in N. gonorrhoeae. PMID:26859666

  1. Identification of Novel Immunogenic Proteins of Neisseria gonorrhoeae by Phage Display.

    Daniel O Connor

    Full Text Available Neisseria gonorrhoeae is one of the most prevalent sexually transmitted diseases worldwide with more than 100 million new infections per year. A lack of intense research over the last decades and increasing resistances to the recommended antibiotics call for a better understanding of gonococcal infection, fast diagnostics and therapeutic measures against N. gonorrhoeae. Therefore, the aim of this work was to identify novel immunogenic proteins as a first step to advance those unresolved problems. For the identification of immunogenic proteins, pHORF oligopeptide phage display libraries of the entire N. gonorrhoeae genome were constructed. Several immunogenic oligopeptides were identified using polyclonal rabbit antibodies against N. gonorrhoeae. Corresponding full-length proteins of the identified oligopeptides were expressed and their immunogenic character was verified by ELISA. The immunogenic character of six proteins was identified for the first time. Additional 13 proteins were verified as immunogenic proteins in N. gonorrhoeae.

  2. Identification of phosphorylation sites in protein kinase A substrates using artificial neural networks and mass spectrometry

    Hjerrild, M.; Stensballe, A.; Rasmussen, T.E.; Kofoed, C.B.; Blom, Nikolaj; Sicheritz-Pontén, Thomas; Larsen, M.R.; Brunak, Søren; Jensen, O.N.; Gammeltoft, S.

    2004-01-01

    Protein phosphorylation plays a key role in cell regulation and identification of phosphorylation sites is important for understanding their functional significance. Here, we present an artificial neural network algorithm: NetPhosK (http://www.cbs.dtu.dk/services/NetPhosK/) that predicts protein...... kinase A (PKA) phosphorylation sites. The neural network was trained with a positive set of 258 experimentally verified PKA phosphorylation sites. The predictions by NetPhosK were! validated using four novel PKA substrates: Necdin, RFX5, En-2, and Wee 1. The four proteins were phosphorylated by PKA in...

  3. Novel identification of expressed genes and functional classification of hypothetical proteins from Neisseria meningitidis serogroup A.

    Bernardini, Giulia; Arena, Simona; Braconi, Daniela; Scaloni, Andrea; Santucci, Annalisa

    2007-09-01

    To implement the 2-DE database of serogroup A Neisseria meningitidis (MenA) and improve its potential of investigation in bacterial biology, cell extracts were separated by tricine-SDS-PAGE and 131 novel proteins were identified by microLC-ESI-IT-MS/MS. These identifications extended to 404, the number of MenA gene expression products characterized at the proteome level, approximately covering 20% of the total ORFs predicted from genome sequence. This technical approach was particularly useful in ascertaining expression of ribosomal as well as hypothetical proteins. Particular attention was paid to functional characterization of hypothetical proteins by means of software analyses and database searches. PMID:17849410

  4. Advances in identification and validation of protein targets of natural products without chemical modification.

    Chang, J; Kim, Y; Kwon, H J

    2016-05-01

    Covering: up to February 2016Identification of the target proteins of natural products is pivotal to understanding the mechanisms of action to develop natural products for use as molecular probes and potential therapeutic drugs. Affinity chromatography of immobilized natural products has been conventionally used to identify target proteins, and has yielded good results. However, this method has limitations, in that labeling or tagging for immobilization and affinity purification often result in reduced or altered activity of the natural product. New strategies have recently been developed and applied to identify the target proteins of natural products and synthetic small molecules without chemical modification of the natural product. These direct and indirect methods for target identification of label-free natural products include drug affinity responsive target stability (DARTS), stability of proteins from rates of oxidation (SPROX), cellular thermal shift assay (CETSA), thermal proteome profiling (TPP), and bioinformatics-based analysis of connectivity. This review focuses on and reports case studies of the latest advances in target protein identification methods for label-free natural products. The integration of newly developed technologies will provide new insights and highlight the value of natural products for use as biological probes and new drug candidates. PMID:26964663

  5. Enterovirus 71 viral capsid protein linear epitopes: Identification and characterization

    Gao Fan

    2012-01-01

    Full Text Available Abstract Background To characterize the human humoral immune response against enterovirus 71 (EV71 infection and map human epitopes on the viral capsid proteins. Methods A series of 256 peptides spanning the capsid proteins (VP1, VP2, VP3 of BJ08 strain (genomic C4 were synthesized. An indirect enzyme-linked immunosorbent assay (ELISA was carried out to detect anti-EV71 IgM and IgG in sera of infected children in acute or recovery phase. The partially overlapped peptides contained 12 amino acids and were coated in the plate as antigen (0.1 μg/μl. Sera from rabbits immunized with inactivated BJ08 virus were also used to screen the peptide panel. Results A total of 10 human anti-EV71 IgM epitopes (vp1-14 in VP1; vp2-6, 21, 40 and 50 in VP2 and vp3-10, 12, 15, 24 and 75 in VP3 were identified in acute phase sera. In contrast, only one anti-EV71 IgG epitope in VP1 (vp1-15 was identified in sera of recovery stage. Four rabbit anti-EV71 IgG epitopes (vp1-14, 31, 54 and 71 were identified and mapped to VP1. Conclusion These data suggested that human IgM epitopes were mainly mapped to VP2 and VP3 with multi-epitope responses occurred at acute infection, while the only IgG epitope located on protein VP1 was activated in recovery phase sera. The dynamic changes of humoral immune response at different stages of infection may have public health significance in evaluation of EV71 vaccine immunogenicity and the clinical application of diagnostic reagents.

  6. Mass spectrometry based approach for identification and characterisation of fluorescent proteins from marine organisms

    Wojdyla, Katarzyna Iwona; Rogowska-Wrzesinska, Adelina; Wrzesinski, Krzysztof;

    2011-01-01

    We present here a new analytical strategy for identification and characterisation of fluorescent proteins from marine organisms. By applying basic proteomics tools it is possible to screen large sample collections for fluorescent proteins of desired characteristics prior to gene cloning. Our...... methodology which includes isolation, spectral characterisation, stability testing, gel-based separation and mass spectrometric identification was optimised on samples collected during the Danish Galathea 3 expedition. Four corals of the Fungia, Sarcophyton and Acropora species emitting green fluorescence...... were tested. Each of the fluorescent extracts behaves differently under denaturing conditions but complete fluorescence loss was not observed. Optimised electrophoretic conditions yielded effective separation of active fluorescent proteins in both 1DE and 2DE. Mass spectrometric analysis...

  7. Mass spectrometry based approach for identification and characterisation of fluorescent proteins from marine organisms

    Wojdyla, Katarzyna; Rogowska-Wrzesinska, Adelina; Wrzesinski, Krzysztof;

    2011-01-01

    We present here a new analytical strategy for identification and characterisation of fluorescent proteins from marine organisms. By applying basic proteomics tools it is possible to screen large sample collections for fluorescent proteins of desired characteristics prior to gene cloning. Our...... methodology which includes isolation, spectral characterisation, stability testing, gel-based separation and mass spectrometric identification was optimised on samples collected during the Danish Galathea 3 expedition. Four corals of the Fungia, Sarcophyton and Acropora species emitting green fluorescence...... were tested. Each of the fluorescent extracts behaves differently under denaturing conditions but complete fluorescence loss was not observed. Optimised electrophoretic conditions yielded effective separation of active fluorescent proteins in both 1DE and 2DE. Mass spectrometric analysis of the...

  8. Identification of chemosensory proteins for trichloroethylene in Pseudomonas aeruginosa

    Shitashiro, Maiko; Tanaka, Hirohide; Hong, Chang Soo; Kuroda, Akio; Takiguchi, Noboru; Ohtake, Hisao; Kato, Junichi

    2005-01-01

    The involvement of the chemotaxis gene cluster 1 (cheYZABW) and cheR in repellent responses of Pseudomonas aeruginosa to trichloroethylene (TCE) is described and three methyl-accepting chemotaxis proteins (MCPs) for TCE are identified. TCE chemotaxis assays of a number of deletion-insertion mutants of P. aeruginosa PAO1 revealed that the chemotaxis gene cluster 1 and cheR are required for negative chemotaxis to TCE. Mutant strains which contained deletions in pctA, pctB and pctC showed decrea...

  9. Identification of Novel O-Linked Glycosylated Toxoplasma Proteins by Vicia villosa Lectin Chromatography.

    Kevin Wang

    Full Text Available Toxoplasma gondii maintains its intracellular life cycle using an extraordinary arsenal of parasite-specific organelles including the inner membrane complex (IMC, rhoptries, micronemes, and dense granules. While these unique compartments play critical roles in pathogenesis, many of their protein constituents have yet to be identified. We exploited the Vicia villosa lectin (VVL to identify new glycosylated proteins that are present in these organelles. Purification of VVL-binding proteins by lectin affinity chromatography yielded a number of novel proteins that were subjected to further study, resulting in the identification of proteins from the dense granules, micronemes, rhoptries and IMC. We then chose to focus on three proteins identified by this approach, the SAG1 repeat containing protein SRS44, the rhoptry neck protein RON11 as well as a novel IMC protein we named IMC25. To assess function, we disrupted their genes by homologous recombination or CRISPR/Cas9. The knockouts were all successful, demonstrating that these proteins are not essential for invasion or intracellular survival. We also show that IMC25 undergoes substantial proteolytic processing that separates the C-terminal domain from the predicted glycosylation site. Together, we have demonstrated that lectin affinity chromatography is an efficient method of identifying new glycosylated parasite-specific proteins.

  10. Identification of Novel O-Linked Glycosylated Toxoplasma Proteins by Vicia villosa Lectin Chromatography.

    Wang, Kevin; Peng, Eric D; Huang, Amy S; Xia, Dong; Vermont, Sarah J; Lentini, Gaelle; Lebrun, Maryse; Wastling, Jonathan M; Bradley, Peter J

    2016-01-01

    Toxoplasma gondii maintains its intracellular life cycle using an extraordinary arsenal of parasite-specific organelles including the inner membrane complex (IMC), rhoptries, micronemes, and dense granules. While these unique compartments play critical roles in pathogenesis, many of their protein constituents have yet to be identified. We exploited the Vicia villosa lectin (VVL) to identify new glycosylated proteins that are present in these organelles. Purification of VVL-binding proteins by lectin affinity chromatography yielded a number of novel proteins that were subjected to further study, resulting in the identification of proteins from the dense granules, micronemes, rhoptries and IMC. We then chose to focus on three proteins identified by this approach, the SAG1 repeat containing protein SRS44, the rhoptry neck protein RON11 as well as a novel IMC protein we named IMC25. To assess function, we disrupted their genes by homologous recombination or CRISPR/Cas9. The knockouts were all successful, demonstrating that these proteins are not essential for invasion or intracellular survival. We also show that IMC25 undergoes substantial proteolytic processing that separates the C-terminal domain from the predicted glycosylation site. Together, we have demonstrated that lectin affinity chromatography is an efficient method of identifying new glycosylated parasite-specific proteins. PMID:26950937

  11. Rapid and accurate identification of isolates of Candida species by melting peak and melting curve analysis of the internally transcribed spacer region 2 fragment (ITS2-MCA)

    Decat, E.; van Mechelen, E.; Saerens, B.; Vermeulen, S.J.T.; Boekhout, T.; de Blaiser, S.; Vaneechoutte, M.; Deschaght, P.

    2013-01-01

    Rapid identification of clinically important yeasts can facilitate the initiation of anti-fungal therapy, since susceptibility is largely species-dependent. We evaluated melting peak and melting curve analysis of the internally transcribed spacer region 2 fragment (ITS2-MCA) as an identification too

  12. Identification of two integral membrane proteins of Plasmodium falciparum

    Smythe, J.A.; Coppel, R.L.; Brown, G.V.; Ramasamy, R.; Kemp, D.J.; Anders, R.F. (Walter and Eliza Hall Institute of Medical Research, Melbourne (Australia))

    1988-07-01

    The authors describe the isolation and cloning of two integral membrane protein antigens of Plasmodium falciparum. The antigens were isolated by Triton X-114 temperature-dependent phase separation, electrophoretically transferred to nitrocellulose, and used to affinity-purify monospecific human antibodies. These antibodies were used to isolate the corresponding cDNA clones from a phage {lambda}gt11-Amp3 cDNA expression library. Clone Ag512 corresponds to a M{sub r} 55,000 merozoite rhoptry antigen, and clone Ag513 corresponds to a M{sub r} 45,000 merozoite surface antigen. Both proteins can be biosynthetically labeled with ({sup 3}H)glucosamine and ({sup 3}H)myristic acid, suggesting that they may be anchored in membranes via a glycosylphosphatidylinositol moiety. Similarities in the C-terminal sequences of the M{sub r} 45,000 merozoite surface antigen and the Trypanosoma brucei variant surface glycoproteins provides further evidence that this antigen has a glycosylphosphatidylinositol anchor.

  13. Small acid soluble proteins for rapid spore identification.

    Branda, Steven S.; Lane, Todd W.; VanderNoot, Victoria A.; Jokerst, Amanda S.

    2006-12-01

    This one year LDRD addressed the problem of rapid characterization of bacterial spores such as those from the genus Bacillus, the group that contains pathogenic spores such as B. anthracis. In this effort we addressed the feasibility of using a proteomics based approach to spore characterization using a subset of conserved spore proteins known as the small acid soluble proteins or SASPs. We proposed developing techniques that built on our previous expertise in microseparations to rapidly characterize or identify spores. An alternative SASP extraction method was developed that was amenable to both the subsequent fluorescent labeling required for laser-induced fluorescence detection and the low ionic strength requirements for isoelectric focusing. For the microseparations, both capillary isoelectric focusing and chip gel electrophoresis were employed. A variety of methods were evaluated to improve the molecular weight resolution for the SASPs, which are in a molecular weight range that is not well resolved by the current methods. Isoelectric focusing was optimized and employed to resolve the SASPs using UV absorbance detection. Proteomic signatures of native wild type Bacillus spores and clones genetically engineered to produce altered SASP patterns were assessed by slab gel electrophoresis, capillary isoelectric focusing with absorbance detection as well as microchip based gel electrophoresis employing sensitive laser-induced fluorescence detection.

  14. Surface protein composition of Aeromonas hydrophila strains virulent for fish: identification of a surface array protein

    The surface protein composition of members of a serogroup of Aeromonas hydrophila was examined. Immunoblotting with antiserum raised against formalinized whole cells of A. hydrophila TF7 showed a 52K S-layer protein to be the major surface protein antigen, and impermeant Sulfo-NHS-Biotin cell surface labeling showed that the 52K S-layer protein was the only protein accessible to the Sulfo-NHS-Biotin label and effectively masked underlying outer membrane (OM) proteins. In its native surface conformation the 52K S-layer protein was only weakly reactive with a lactoperoxidase 125I surface iodination procedure. A UV-induced rough lipopolysaccharide (LPS) mutant of TF7 was found to produce an intact S layer, but a deep rough LPS mutant was unable to maintain an array on the cell surface and excreted the S-layer protein into the growth medium, indicating that a minimum LPS oligosaccharide size required for A. hydrophila S-layer anchoring. The native S layer was permeable to 125I in the lactoperoxidase radiolabeling procedure, and two major OM proteins of molecular weights 30,000 and 48,000 were iodinated. The 48K species was a peptidoglycan-associated, transmembrane protein which exhibited heat-modifiable SDS solubilization behavior characteristic of a porin protein. A 50K major peptidoglycan-associated OM protein which was not radiolabeled exhibited similar SDS heat modification characteristics and possibly represents a second porin protein

  15. Identification of Arsenic Direct-Binding Proteins in Acute Promyelocytic Leukaemia Cells

    Tao Zhang

    2015-11-01

    Full Text Available The identification of arsenic direct-binding proteins is essential for determining the mechanism by which arsenic trioxide achieves its chemotherapeutic effects. At least two cysteines close together in the amino acid sequence are crucial to the binding of arsenic and essential to the identification of arsenic-binding proteins. In the present study, arsenic binding proteins were pulled down with streptavidin and identified using a liquid chromatograph-mass spectrometer (LC-MS/MS. More than 40 arsenic-binding proteins were separated, and redox-related proteins, glutathione S-transferase P1 (GSTP1, heat shock 70 kDa protein 9 (HSPA9 and pyruvate kinase M2 (PKM2, were further studied using binding assays in vitro. Notably, PKM2 has a high affinity for arsenic. In contrast to PKM2, GSTP1and HSPA9 did not combine with arsenic directly in vitro. These observations suggest that arsenic-mediated acute promyelocytic leukaemia (APL suppressive effects involve PKM2. In summary, we identified several arsenic binding proteins in APL cells and investigated the therapeutic mechanisms of arsenic trioxide for APL. Further investigation into specific signal pathways by which PKM2 mediates APL developments may lead to a better understanding of arsenic effects on APL.

  16. Ion soft-landing into liquids: Protein identification, separation, and purification with retention of biological activity.

    Gologan, Bogdan; Takáts, Zoltán; Alvarez, Jormarie; Wiseman, Justin M; Talaty, Nari; Ouyang, Zheng; Cooks, R Graham

    2004-12-01

    Protein ions, after mass spectrometric separation, can be soft-landed into liquid surfaces with preservation of their native structures. Retention of biological activity is strongly favored in glycerol-based surfaces but not in self-assembled monolayer solid surfaces. Soft-landing efficiency for multiply-charged hexokinase ions was found to be some four times higher for a glycerol/fructose liquid surface than for a fluorinated self-assembled monolayer surface. Soft-landing into liquid surfaces is also shown to allow (1) protein purification, (2) on-surface identification of the soft-landed material using MALDI, and (3) protein identification by in-surface tryptic digestion. Pure lysozyme was successfully isolated from different mixtures including an oxidized, partially decomposed batch of the protein and a partial tryptic digest. Liquid glycerol/carbohydrate mixtures could be used directly to record MALDI spectra on the soft-landed compounds provided they were fortified in advance with traditional MALDI matrices such as p-nitroaniline and alpha-cyano-4-hydroxycinnamic acid. Various proteins were soft-landed and detected on-target using these types of liquid surface. Soft-landing of multiply-charged lysozyme ions onto fluorinated self-assembled monolayer surfaces was found to occur with a limited amount of neutralization, and trapped multiply-charged ions could be desorbed from the surface by laser desorption. Initial data is shown for a new approach to protein identification that combines top-down and bottom-up approaches by utilizing protein ion soft-landing from a protein mixture, followed by tryptic digestion of the landed material and detection of characteristic tryptic fragments by MALDI. PMID:15589764

  17. Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering

    Li Weizhong

    2008-04-01

    Full Text Available Abstract Background The identification and study of proteins from metagenomic datasets can shed light on the roles and interactions of the source organisms in their communities. However, metagenomic datasets are characterized by the presence of organisms with varying GC composition, codon usage biases etc., and consequently gene identification is challenging. The vast amount of sequence data also requires faster protein family classification tools. Results We present a computational improvement to a sequence clustering approach that we developed previously to identify and classify protein coding genes in large microbial metagenomic datasets. The clustering approach can be used to identify protein coding genes in prokaryotes, viruses, and intron-less eukaryotes. The computational improvement is based on an incremental clustering method that does not require the expensive all-against-all compute that was required by the original approach, while still preserving the remote homology detection capabilities. We present evaluations of the clustering approach in protein-coding gene identification and classification, and also present the results of updating the protein clusters from our previous work with recent genomic and metagenomic sequences. The clustering results are available via CAMERA, (http://camera.calit2.net. Conclusion The clustering paradigm is shown to be a very useful tool in the analysis of microbial metagenomic data. The incremental clustering method is shown to be much faster than the original approach in identifying genes, grouping sequences into existing protein families, and also identifying novel families that have multiple members in a metagenomic dataset. These clusters provide a basis for further studies of protein families.

  18. Novel Accurate Bacterial Discrimination by MALDI-Time-of-Flight MS Based on Ribosomal Proteins Coding in S10-spc-alpha Operon at Strain Level S10-GERMS

    Tamura, Hiroto; Hotta, Yudai; Sato, Hiroaki

    2013-08-01

    Matrix-assisted laser-desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is one of the most widely used mass-based approaches for bacterial identification and classification because of the simple sample preparation and extremely rapid analysis within a few minutes. To establish the accurate MALDI-TOF MS bacterial discrimination method at strain level, the ribosomal subunit proteins coded in the S 10-spc-alpha operon, which encodes half of the ribosomal subunit protein and is highly conserved in eubacterial genomes, were selected as reliable biomarkers. This method, named the S10-GERMS method, revealed that the strains of genus Pseudomonas were successfully identified and discriminated at species and strain levels, respectively; therefore, the S10-GERMS method was further applied to discriminate the pathovar of P. syringae. The eight selected biomarkers (L24, L30, S10, S12, S14, S16, S17, and S19) suggested the rapid discrimination of P. syringae at the strain (pathovar) level. The S10-GERMS method appears to be a powerful tool for rapid and reliable bacterial discrimination and successful phylogenetic characterization. In this article, an overview of the utilization of results from the S10-GERMS method is presented, highlighting the characterization of the Lactobacillus casei group and discrimination of the bacteria of genera Bacillus and Sphingopyxis despite only two and one base difference in the 16S rRNA gene sequence, respectively.

  19. Identification of bitter peptides in whey protein hydrolysate.

    Liu, Xiaowei; Jiang, Deshou; Peterson, Devin G

    2014-06-25

    Bitterness of whey protein hydrolysates (WPH) can negatively affect product quality and limit utilization in food and pharmaceutical applications. Four main bitter peptides were identified in a commercial WPH by means of sensory-guided fractionation techniques that included ultrafiltration and offline two-dimensional reverse phase chromatography. LC-TOF-MS/MS analysis revealed the amino acid sequences of the bitter peptides were YGLF, IPAVF, LLF, and YPFPGPIPN that originated from α-lactalbumin, β-lactoglobulin, serum albumin, and β-casein, respectively. Quantitative LC-MS/MS analysis reported the concentrations of YGLF, IPAVF, LLF, and YPFPGPIPN to be 0.66, 0.58, 1.33, and 2.64 g/kg powder, respectively. Taste recombination analysis of an aqueous model consisting of all four peptides was reported to explain 88% of the bitterness intensity of the 10% WPH solution. PMID:23998904

  20. PILOT_PROTEIN: identification of unmodified and modified proteins via high-resolution mass spectrometry and mixed-integer linear optimization.

    Baliban, Richard C; Dimaggio, Peter A; Plazas-Mayorca, Mariana D; Garcia, Benjamin A; Floudas, Christodoulos A

    2012-09-01

    A novel protein identification framework, PILOT_PROTEIN, has been developed to construct a comprehensive list of all unmodified proteins that are present in a living sample. It uses the peptide identification results from the PILOT_SEQUEL algorithm to initially determine all unmodified proteins within the sample. Using a rigorous biclustering approach that groups incorrect peptide sequences with other homologous sequences, the number of false positives reported is minimized. A sequence tag procedure is then incorporated along with the untargeted PTM identification algorithm, PILOT_PTM, to determine a list of all modification types and sites for each protein. The unmodified protein identification algorithm, PILOT_PROTEIN, is compared to the methods SEQUEST, InsPecT, X!Tandem, VEMS, and ProteinProspector using both prepared protein samples and a more complex chromatin digest. The algorithm demonstrates superior protein identification accuracy with a lower false positive rate. All materials are freely available to the scientific community at http://pumpd.princeton.edu. PMID:22788846

  1. New technologies in proteomics: automated excision and digestion of fluorescently stained protein gel spots and identification of proteins by MALDI-QTOF mass spectrometry

    This presentation is an overview of the techniques and systems we use for large-scale proteomics in plants. This includes a variety of 2D gel electrophoresis methods, and automation of spot-cutting, in-gel digestion, nanoLC-MS/MS tandem mass spectrometry and SEQUEST based protein identification. Examples and applications of several new technologies will also be shown, including the use of a robotic spot cutter in conjunction with high sensitivity fluorescent protein staining and the identification of proteins by redundant peptide identification in a high-throughput fashion using a hybrid MALDI-Qtof mass spectrometer

  2. Protein structural classification and family identification by multifractal analysis and wavelet spectrum

    Family identification is helpful for predicting protein functions. It has been known from the literature that longer sequences of base pairs or amino acids are required to study patterns in biological sequences. Since most protein sequences are relatively short, we randomly concatenate or link the protein sequences from the same family or superfamily together to form longer protein sequences. The 6-letter model, 12-letter model, 20-letter model, the revised Schneider and Wrede scale hydrophobicity, solvent accessibility and stochastic standard state accessibility are used to convert linked protein sequences into numerical sequences. Then multifractal analyses and wavelet analysis are performed on these numerical sequences. The parameters from these analyses can be used to construct parameter spaces where each linked protein is represented by a point. The four classes of proteins, namely the α, β, α + β and α/β classes, are then distinguished in these parameter spaces. The Fisher linear discriminant algorithm is used to assess the discriminant accuracy. Numerical results indicate that the discriminant accuracies are satisfactory in separating these classes. We find that the linked proteins from the same family or superfamily tend to group together and can be separated from other linked proteins. The methods are helpful for identifying the family of an unknown protein. (general)

  3. An approach to large scale identification of non-obvious structural similarities between proteins

    Cherkasov Artem

    2004-05-01

    Full Text Available Abstract Background A new sequence independent bioinformatics approach allowing genome-wide search for proteins with similar three dimensional structures has been developed. By utilizing the numerical output of the sequence threading it establishes putative non-obvious structural similarities between proteins. When applied to the testing set of proteins with known three dimensional structures the developed approach was able to recognize structurally similar proteins with high accuracy. Results The method has been developed to identify pathogenic proteins with low sequence identity and high structural similarity to host analogues. Such protein structure relationships would be hypothesized to arise through convergent evolution or through ancient horizontal gene transfer events, now undetectable using current sequence alignment techniques. The pathogen proteins, which could mimic or interfere with host activities, would represent candidate virulence factors. The developed approach utilizes the numerical outputs from the sequence-structure threading. It identifies the potential structural similarity between a pair of proteins by correlating the threading scores of the corresponding two primary sequences against the library of the standard folds. This approach allowed up to 64% sensitivity and 99.9% specificity in distinguishing protein pairs with high structural similarity. Conclusion Preliminary results obtained by comparison of the genomes of Homo sapiens and several strains of Chlamydia trachomatis have demonstrated the potential usefulness of the method in the identification of bacterial proteins with known or potential roles in virulence.

  4. Identification of proteins targeted by the thioredoxin superfamily in Plasmodium falciparum.

    Nicole Sturm

    2009-04-01

    Full Text Available The malarial parasite Plasmodium falciparum possesses a functional thioredoxin and glutathione system comprising the dithiol-containing redox proteins thioredoxin (Trx and glutaredoxin (Grx, as well as plasmoredoxin (Plrx, which is exclusively found in Plasmodium species. All three proteins belong to the thioredoxin superfamily and share a conserved Cys-X-X-Cys motif at the active site. Only a few of their target proteins, which are likely to be involved in redox reactions, are currently known. The aim of the present study was to extend our knowledge of the Trx-, Grx-, and Plrx-interactome in Plasmodium. Based on the reaction mechanism, we generated active site mutants of Trx and Grx lacking the resolving cysteine residue. These mutants were bound to affinity columns to trap target proteins from P. falciparum cell extracts after formation of intermolecular disulfide bonds. Covalently linked proteins were eluted with dithiothreitol and analyzed by mass spectrometry. For Trx and Grx, we were able to isolate 17 putatively redox-regulated proteins each. Furthermore, the approach was successfully established for Plrx, leading to the identification of 21 potential target proteins. In addition to confirming known interaction partners, we captured potential target proteins involved in various processes including protein biosynthesis, energy metabolism, and signal transduction. The identification of three enzymes involved in S-adenosylmethionine (SAM metabolism furthermore suggests that redox control is required to balance the metabolic fluxes of SAM between methyl-group transfer reactions and polyamine synthesis. To substantiate our data, the binding of the redoxins to S-adenosyl-L-homocysteine hydrolase and ornithine aminotransferase (OAT were verified using BIAcore surface plasmon resonance. In enzymatic assays, Trx was furthermore shown to enhance the activity of OAT. Our approach led to the discovery of several putatively redox-regulated proteins

  5. Accurate small and wide angle x-ray scattering profiles from atomic models of proteins and nucleic acids

    Nguyen, Hung T.; Pabit, Suzette A.; Meisburger, Steve P.; Pollack, Lois; Case, David A.

    2014-12-01

    A new method is introduced to compute X-ray solution scattering profiles from atomic models of macromolecules. The three-dimensional version of the Reference Interaction Site Model (RISM) from liquid-state statistical mechanics is employed to compute the solvent distribution around the solute, including both water and ions. X-ray scattering profiles are computed from this distribution together with the solute geometry. We describe an efficient procedure for performing this calculation employing a Lebedev grid for the angular averaging. The intensity profiles (which involve no adjustable parameters) match experiment and molecular dynamics simulations up to wide angle for two proteins (lysozyme and myoglobin) in water, as well as the small-angle profiles for a dozen biomolecules taken from the BioIsis.net database. The RISM model is especially well-suited for studies of nucleic acids in salt solution. Use of fiber-diffraction models for the structure of duplex DNA in solution yields close agreement with the observed scattering profiles in both the small and wide angle scattering (SAXS and WAXS) regimes. In addition, computed profiles of anomalous SAXS signals (for Rb+ and Sr2+) emphasize the ionic contribution to scattering and are in reasonable agreement with experiment. In cases where an absolute calibration of the experimental data at q = 0 is available, one can extract a count of the excess number of waters and ions; computed values depend on the closure that is assumed in the solution of the Ornstein-Zernike equations, with results from the Kovalenko-Hirata closure being closest to experiment for the cases studied here.

  6. Identification and characterization of proteins involved in nuclear organization using Drosophila GFP protein trap lines.

    Margaret Rohrbaugh

    Full Text Available BACKGROUND: Strains from a collection of Drosophila GFP protein trap lines express GFP in the normal tissues where the endogenous protein is present. This collection can be used to screen for proteins distributed in the nucleus in a non-uniform pattern. METHODOLOGY/PRINCIPAL FINDINGS: We analyzed four lines that show peripheral or punctate nuclear staining. One of these lines affects an uncharacterized gene named CG11138. The CG11138 protein shows a punctate distribution in the nuclear periphery similar to that of Drosophila insulator proteins but does not co-localize with known insulators. Interestingly, mutations in Lamin proteins result in alterations in CG11138 localization, suggesting that this protein may be a novel component of the nuclear lamina. A second line affects the Decondensation factor 31 (Df31 gene, which encodes a protein with a unique nuclear distribution that appears to segment the nucleus into four different compartments. The X-chromosome of males is confined to one of these compartments. We also find that Drosophila Nucleoplasmin (dNlp is present in regions of active transcription. Heat shock leads to loss of dNlp from previously transcribed regions of polytene chromosome without redistribution to the heat shock genes. Analysis of Stonewall (Stwl, a protein previously found to be necessary for the maintenance of germline stem cells, shows that Stwl is present in a punctate pattern in the nucleus that partially overlaps with that of known insulator proteins. Finally we show that Stwl, dNlp, and Df31 form part of a highly interactive network. The properties of other components of this network may help understand the role of these proteins in nuclear biology. CONCLUSIONS/SIGNIFICANCE: These results establish screening of GFP protein trap alleles as a strategy to identify factors with novel cellular functions. Information gained from the analysis of CG11138 Stwl, dNlp, and Df31 sets the stage for future studies of these

  7. MALDI-TOF MS is more accurate than VITEK II ANC card and API Rapid ID 32 A system for the identification of Clostridium species.

    Kim, Young Jin; Kim, Si Hyun; Park, Hyun-Jung; Park, Hae-Geun; Park, Dongchul; Song, Sae Am; Lee, Hee Joo; Yong, Dongeun; Choi, Jun Yong; Kook, Joong-Ki; Kim, Hye Ran; Shin, Jeong Hwan

    2016-08-01

    All 50 Clostridium difficile strains were definitely identified by Vitek2 system, Rapid ID 32A system, and MALDI-TOF. For 18 non-difficile Clostridium strains, the identification results were correct in 0, 2, and 17 strains by Vitek2, Rapid ID 32A, and MALDI-TOF, respectively. MALDI-TOF could be used as the primary tool for identification of Clostridium species. PMID:27296834

  8. Human neutrophil calmodulin-binding proteins: identification of the calmodulin-dependent protein phosphatase

    The molecular events in linking neutrophil activation and ligand binding to specific membrane receptors are mediated in part by an increase in intracellular Ca2+. One mechanism by which Ca2+ may trigger neutrophil activation is through Ca2+/calmodulin (CaM)-regulated proteins and enzymes. To determine which Ca2+/CaM-regulated enzymes may be present in the neutrophil, they have used Western blotting techniques and 125I-CaM to identify neutrophil CaM-binding proteins. Eleven proteins with molecular weights ranging from 230K to 13.5K bound 125I-CaM in a Ca2+-dependent manner. One predominant region of 125I-Cam binding was to a 59K protein; a protein with an identical mobility was labeled by an antisera against brain CaM-dependent phosphatase. Ca2+-dependent phosphatase activity, which was inhibited by the CaM antagonist trifluoperazine, was detected in a neutrophil extract; a radioimmunoassay for the phosphatase indicated that it was present in the extract at approximately 0.2 μg/mg protein. Most of the CaM-binding proteins, including the 59K protein, were rapidly degraded upon lysis of the neutrophil. There was a close correlation between the degradation of the 59K protein and the loss of Ca2+-dependent phosphatase activity in the neutrophil extract. Thus, human neutrophils contain numerous CaM-binding proteins which are presumably Ca2+/calmodulin-regulated enzymes and proteins; the 59K protein is a CaM-dependent phosphatase

  9. Identification of Differentially Abundant Proteins of Edwardsiella ictaluri during Iron Restriction.

    Pradeep R Dumpala

    Full Text Available Edwardsiella ictaluri is a Gram-negative facultative anaerobe intracellular bacterium that causes enteric septicemia in channel catfish. Iron is an essential inorganic nutrient of bacteria and is crucial for bacterial invasion. Reduced availability of iron by the host may cause significant stress for bacterial pathogens and is considered a signal that leads to significant alteration in virulence gene expression. However, the precise effect of iron-restriction on E. ictaluri protein abundance is unknown. The purpose of this study was to identify differentially abundant proteins of E. ictaluri during in vitro iron-restricted conditions. We applied two-dimensional difference in gel electrophoresis (2D-DIGE for determining differentially abundant proteins and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI TOF/TOF MS for protein identification. Gene ontology and pathway-based functional modeling of differentially abundant proteins was also conducted. A total of 50 unique differentially abundant proteins at a minimum of 2-fold (p ≤ 0.05 difference in abundance due to iron-restriction were detected. The numbers of up- and down-regulated proteins were 37 and 13, respectively. We noted several proteins, including EsrB, LamB, MalM, MalE, FdaA, and TonB-dependent heme/hemoglobin receptor family proteins responded to iron restriction in E. ictaluri.

  10. Subproteomics: identification of plasma membrane proteins from the yeast Saccharomyces cerevisiae.

    Navarre, Catherine; Degand, Hervé; Bennett, Keiryn L; Crawford, Janne S; Mørtz, Ejvind; Boutry, Marc

    2002-12-01

    As a consequence of their poor solubility during isoelectric focusing, integral membrane proteins are generally absent from two-dimensional gel proteome maps. In order to analyze the yeast plasma membrane proteome, a plasma membrane purification protocol was optimized in order to reduce contaminating membranes and cytosolic proteins. Specifically, the new fractionation scheme largely depleted the plasma membrane fraction of cytosolic proteins by deoxycholate stripping and ribosomal proteins by sucrose gradient flotation. The plasma membrane complement was resolved by two-dimensional electrophoresis using the cationic detergent cetyl trimethyl ammonium bromide in the first, and sodium dodecyl sulfate in the second dimension, and fifty spots were identified by matrix-assisted laser desorption/ionization-time of flight mass spectometry. In spite of the presence of still contaminating ribosomal proteins, major proteins corresponded to known plasma membrane residents, the ABC transporters Pdr5p and Snq2p, the P-type H(+)-ATPase Pma1p, the glucose transporter Hxt7p, the seven transmembrane-span Mrh1p, the low affinity Fe(++) transporter Fet4p, the twelve-span Ptr2p, and the plasma membrane anchored casein kinase Yck2p. The four transmembrane-span proteins Sur7p and Nce102p were also present in the isolated plasma membranes, as well as the unknown protein Ygr266wp that probably contains a single transmembrane span. Thus, combining subcellular fractionation with adapted two-dimensional electrophoresis resulted in the identification of intrinsic plasma membrane proteins. PMID:12469340

  11. Identification of protein secretion systems and novel secreted proteins in Rhizobium leguminosarum bv. viciae

    Krehenbrink Martin

    2008-01-01

    Full Text Available Abstract Background Proteins secreted by bacteria play an important role in infection of eukaryotic hosts. Rhizobia infect the roots of leguminous plants and establish a mutually beneficial symbiosis. Proteins secreted during the infection process by some rhizobial strains can influence infection and modify the plant defence signalling pathways. The aim of this study was to systematically analyse protein secretion in the recently sequenced strain Rhizobium leguminosarum bv. viciae 3841. Results Similarity searches using defined protein secretion systems from other Gram-negative bacteria as query sequences revealed that R. l. bv. viciae 3841 has ten putative protein secretion systems. These are the general export pathway (GEP, a twin-arginine translocase (TAT secretion system, four separate Type I systems, one putative Type IV system and three Type V autotransporters. Mutations in genes encoding each of these (except the GEP were generated, but only mutations affecting the PrsDE (Type I and TAT systems were observed to affect the growth phenotype and the profile of proteins in the culture supernatant. Bioinformatic analysis and mass fingerprinting of tryptic fragments of culture supernatant proteins identified 14 putative Type I substrates, 12 of which are secreted via the PrsDE, secretion system. The TAT mutant was defective for the symbiosis, forming nodules incapable of nitrogen fixation. Conclusion None of the R. l. bv. viciae 3841 protein secretion systems putatively involved in the secretion of proteins to the extracellular space (Type I, Type IV, Type V is required for establishing the symbiosis with legumes. The PrsDE (Type I system was shown to be the major route of protein secretion in non-symbiotic cells and to secrete proteins of widely varied size and predicted function. This is in contrast to many Type I systems from other bacteria, which typically secrete specific substrates encoded by genes often localised in close proximity to

  12. PredPPCrys: accurate prediction of sequence cloning, protein production, purification and crystallization propensity from protein sequences using multi-step heterogeneous feature fusion and selection.

    Huilin Wang

    Full Text Available X-ray crystallography is the primary approach to solve the three-dimensional structure of a protein. However, a major bottleneck of this method is the failure of multi-step experimental procedures to yield diffraction-quality crystals, including sequence cloning, protein material production, purification, crystallization and ultimately, structural determination. Accordingly, prediction of the propensity of a protein to successfully undergo these experimental procedures based on the protein sequence may help narrow down laborious experimental efforts and facilitate target selection. A number of bioinformatics methods based on protein sequence information have been developed for this purpose. However, our knowledge on the important determinants of propensity for a protein sequence to produce high diffraction-quality crystals remains largely incomplete. In practice, most of the existing methods display poorer performance when evaluated on larger and updated datasets. To address this problem, we constructed an up-to-date dataset as the benchmark, and subsequently developed a new approach termed 'PredPPCrys' using the support vector machine (SVM. Using a comprehensive set of multifaceted sequence-derived features in combination with a novel multi-step feature selection strategy, we identified and characterized the relative importance and contribution of each feature type to the prediction performance of five individual experimental steps required for successful crystallization. The resulting optimal candidate features were used as inputs to build the first-level SVM predictor (PredPPCrys I. Next, prediction outputs of PredPPCrys I were used as the input to build second-level SVM classifiers (PredPPCrys II, which led to significantly enhanced prediction performance. Benchmarking experiments indicated that our PredPPCrys method outperforms most existing procedures on both up-to-date and previous datasets. In addition, the predicted crystallization

  13. PPINGUIN: Peptide Profiling Guided Identification of Proteins improves quantitation of iTRAQ ratios

    Bauer, Chris; Kleinjung, Frank; Rutishauser, Dorothea; Panse, Christian; Chadt, Alexandra; Dreja, Tanja; Al-Hasani, Hadi; Reinert, Knut; Schlapbach, Ralph; Schuchhardt, Johannes

    2012-01-01

    BACKGROUND: Recent development of novel technologies paved the way for quantitative proteomics. One of the most important among them is iTRAQ, employing isobaric tags for relative or absolute quantitation. Despite large progress in technology development, still many challenges remain for derivation and interpretation of quantitative results. One of these challenges is the consistent assignment of peptides to proteins. RESULTS: We have developed Peptide Profiling Guided Identification of Pr...

  14. XML Identification of Electrophoretic Protein Pattern of Fusaium Verticillioides Isolates from Maize by SDS-PAGE

    Daie Ghazvini, R. (PhD); Khosravi, A; Ghiasian, SA. (PhD

    2015-01-01

    Background and Objective: Some of them possess high allergenic components and some produce the various toxins such as fumonisins and T2-toxins. Among the Toxigens, Fusarium verticillioides (Gibberella moniliformis) is intensely toxigen. This fungus produces B1, B2, B3 fumonisins on some crops. The purpose of this study is the identification of an electrophoretic cytoplasmic protein pattern of Iranian Fusarium verticillioides. Material and Methods: In this study 20 isolates of this species wer...

  15. Identification and localization of the structural proteins of anguillid herpesvirus 1

    van Beurden Steven J; Leroy Baptiste; Wattiez Ruddy; Haenen Olga LM; Boeren Sjef; Vervoort Jacques JM; Peeters Ben PH; Rottier Peter JM; Engelsma Marc Y; Vanderplasschen Alain F

    2011-01-01

    Abstract Many of the known fish herpesviruses have important aquaculture species as their natural host, and may cause serious disease and mortality. Anguillid herpesvirus 1 (AngHV-1) causes a hemorrhagic disease in European eel, Anguilla anguilla. Despite their importance, fundamental molecular knowledge on fish herpesviruses is still limited. In this study we describe the identification and localization of the structural proteins of AngHV-1. Purified virions were fractionated into a capsid-t...

  16. Residues Coevolution Guides the Systematic Identification of Alternative Functional Conformations in Proteins.

    Sfriso, Pedro; Duran-Frigola, Miquel; Mosca, Roberto; Emperador, Agustí; Aloy, Patrick; Orozco, Modesto

    2016-01-01

    We present here a new approach for the systematic identification of functionally relevant conformations in proteins. Our fully automated pipeline, based on discrete molecular dynamics enriched with coevolutionary information, is able to capture alternative conformational states in 76% of the proteins studied, providing key atomic details for understanding their function and mechanism of action. We also demonstrate that, given its sampling speed, our method is well suited to explore structural transitions in a high-throughput manner, and can be used to determine functional conformational transitions at the entire proteome level. PMID:26688214

  17. Identification of compounds with binding affinity to proteins via magnetization transfer from bulk water

    Dalvit, Claudio; Pevarello, Paolo; Tato, Marco; Veronesi, Marina; Vulpetti, Anna; Sundstroem, Michael [Pharmacia (Italy)

    2000-09-15

    A powerful screening by NMR methodology (WaterLOGSY), based on transfer of magnetization from bulk water, for the identification of compounds that interact with target biomolecules (proteins, RNA and DNA fragments) is described. The method exploits efficiently the large reservoir of H{sub 2}O magnetization. The high sensitivity of the technique reduces the amount of biomolecule and ligands needed for the screening, which constitutes an important requirement for high throughput screening by NMR of large libraries of compounds. Application of the method to a compound mixture against the cyclin-dependent kinase 2 (cdk2) protein is presented.

  18. Identification of Pentatricopeptide Repeat Proteins in the Model Organism Dictyostelium discoideum

    Sam Manna

    2013-01-01

    Full Text Available Pentatricopeptide repeat (PPR proteins are RNA binding proteins with functions in organelle RNA metabolism. They are found in all eukaryotes but have been most extensively studied in plants. We report on the identification of 12 PPR-encoding genes in the genome of the protist Dictyostelium discoideum, with potential homologs in other members of the same lineage and some predicted novel functions for the encoded gene products in protists. For one of the gene products, we show that it localizes to the mitochondria, and we also demonstrate that antisense inhibition of its expression leads to slower growth, a phenotype associated with mitochondrial dysfunction.

  19. Bioinformatics-Based Identification of Chemosensory Proteins in African Malaria Mosquito, Anopheles gambiae

    Zhengxi Li; Zuorui Shen; Jingjiang Zhou; Lin Field

    2003-01-01

    Chemosensory proteins (CSPs) are identifiable by four spatially conserved Cysteine residues in their primary structure or by two disulfide bridges in their tertiary structure according to the previously identified olfactory specific-D related proteins. A genomics- and bioinformatics-based approach is taken in the present study to identify the putative CSPs in the malaria-carrying mosquito, Anopheles gambiae. The results show that five out of the nine annotated candidates are the most possible Anopheles CSPs of A. gambiae. This study lays the foundation for further functional identification of Anopheles CSPs, though all of these candidates need additional experimental verification.

  20. Identification of active pocket and protein druggability within envelope glycoprotein GP2 from Ebola virus

    Beuy; Joob; Viroj; Wiwanitkit

    2014-01-01

    The drug searching for combating the present outbreak of Ebola virus infection is the urgent activity at present.Finding the new effective drug at present must base on the molecular analysis of the pathogenic virus.The in-depth analysis of the viral protein to find the binding site,active pocket is needed.Here,the authors analyzed the envelope glycoprotein GP2 from Ebola virus.Identification of active pocket and protein draggability within envelope glycoprotein GP2 from Ebola virus was done.According to this assessment,7 active pockets with varied draggability could be identified.

  1. Identification of active pocket and protein druggability within envelope glycoprotein GP2 from Ebola virus

    Beuy Joob; Viroj Wiwanitkit

    2014-01-01

    The drug searching for combating the present outbreak of Ebola virus infection is the urgent activity at present. Finding the new effective drug at present must base on the molecular analysis of the pathogenic virus. The in-depth analysis of the viral protein to find the binding site, active pocket is needed. Here, the authors analyzed the envelope glycoprotein GP2 from Ebola virus. Identification of active pocket and protein druggability within envelope glycoprotein GP2 from Ebola virus was done. According to this assessment, 7 active pockets with varied druggability could be identified.

  2. Purification, identification and preliminary crystallographic studies of Pru du amandin, an allergenic protein from Prunus dulcis

    The purification, identification, crystallization and preliminary crystallographic studies of an allergy-related protein, Pru du amandin, from P. dulcis nuts are reported. Food allergies appear to be one of the foremost causes of hypersensitivity reactions. Nut allergies account for most food allergies and are often permanent. The 360 kDa hexameric protein Pru du amandin, a known allergen, was purified from almonds (Prunus dulcis) by ammonium sulfate fractionation and ion-exchange chromatography. The protein was identified by a BLAST homology search against the nonredundant sequence database. Pru du amandin belongs to the 11S legumin family of seed storage proteins characterized by the presence of a cupin motif. Crystals were obtained by the hanging-drop vapour-diffusion method. The crystals belong to space group P41 (or P43), with unit-cell parameters a = b = 150.7, c = 164.9 Å

  3. Identification and modification of dynamical regions in proteins for alteration of enzyme catalytic effect

    Agarwal, Pratul K.

    2013-04-09

    A method for analysis, control, and manipulation for improvement of the chemical reaction rate of a protein-mediated reaction is provided. Enzymes, which typically comprise protein molecules, are very efficient catalysts that enhance chemical reaction rates by many orders of magnitude. Enzymes are widely used for a number of functions in chemical, biochemical, pharmaceutical, and other purposes. The method identifies key protein vibration modes that control the chemical reaction rate of the protein-mediated reaction, providing identification of the factors that enable the enzymes to achieve the high rate of reaction enhancement. By controlling these factors, the function of enzymes may be modulated, i.e., the activity can either be increased for faster enzyme reaction or it can be decreased when a slower enzyme is desired. This method provides an inexpensive and efficient solution by utilizing computer simulations, in combination with available experimental data, to build suitable models and investigate the enzyme activity.

  4. Purification, identification and preliminary crystallographic studies of Pru du amandin, an allergenic protein from Prunus dulcis

    Gaur, Vineet; Sethi, Dhruv K.; Salunke, Dinakar M., E-mail: dinakar@nii.res.in [National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi 110 067 (India)

    2008-01-01

    The purification, identification, crystallization and preliminary crystallographic studies of an allergy-related protein, Pru du amandin, from P. dulcis nuts are reported. Food allergies appear to be one of the foremost causes of hypersensitivity reactions. Nut allergies account for most food allergies and are often permanent. The 360 kDa hexameric protein Pru du amandin, a known allergen, was purified from almonds (Prunus dulcis) by ammonium sulfate fractionation and ion-exchange chromatography. The protein was identified by a BLAST homology search against the nonredundant sequence database. Pru du amandin belongs to the 11S legumin family of seed storage proteins characterized by the presence of a cupin motif. Crystals were obtained by the hanging-drop vapour-diffusion method. The crystals belong to space group P4{sub 1} (or P4{sub 3}), with unit-cell parameters a = b = 150.7, c = 164.9 Å.

  5. Efficient identification of amino acid types for fast protein backbone assignments

    We describe a procedure that allows for very efficient identification of amino acid types in proteins by selective 15N-labeling. The usefulness of selective incorporation of 15N-labeled amino acids into proteins for the backbone assignment has been recognized for several years. However, widespread use of this method has been hindered by the need to purify each selectively labeled sample and by the relatively high cost of labeling with 15N-labeled amino acids. Here we demonstrate that purification of the selectively 15N-labeled samples is not necessary and that background-free HSQC spectra containing only the peaks of the overexpressed heterologous protein can be obtained in crude lysates from as little as 100 ml cultures, thus saving time and money. This method can be used for fast and automated backbone assignment of proteins

  6. Identification and modification of dynamical regions in proteins for alteration of enzyme catalytic effect

    Agarwal, Pratul K.

    2015-11-24

    A method for analysis, control, and manipulation for improvement of the chemical reaction rate of a protein-mediated reaction is provided. Enzymes, which typically comprise protein molecules, are very efficient catalysts that enhance chemical reaction rates by many orders of magnitude. Enzymes are widely used for a number of functions in chemical, biochemical, pharmaceutical, and other purposes. The method identifies key protein vibration modes that control the chemical reaction rate of the protein-mediated reaction, providing identification of the factors that enable the enzymes to achieve the high rate of reaction enhancement. By controlling these factors, the function of enzymes may be modulated, i.e., the activity can either be increased for faster enzyme reaction or it can be decreased when a slower enzyme is desired. This method provides an inexpensive and efficient solution by utilizing computer simulations, in combination with available experimental data, to build suitable models and investigate the enzyme activity.

  7. Identification of Late Embryogenesis Abundant (LEA Protein Putative Interactors Using Phage Display

    Allan Bruce Downie

    2012-05-01

    Full Text Available Arabidopsis thaliana seeds without functional SEED MATURATION PROTEIN1 (SMP1, a boiling soluble protein predicted to be of intrinsic disorder, presumed to be a LATE EMBRYOGENESIS ABUNDANT (LEA family protein based on sequence homology, do not enter secondary dormancy after 3 days at 40 °C. We hypothesized that SMP1 may protect a heat labile protein involved in the promotion of secondary dormancy. Recombinant SMP1 and GmPM28, its soybean (Glycine max, LEA4 homologue, protected the labile GLUCOSE-6-PHOSPHATE DEHYROGENASE enzyme from heat stress, as did a known protectant, Bovine Serum Albumin, whether the LEA protein was in solution or attached to the bottom of microtiter plates. Maintenance of a biological function for both recombinant LEA proteins when immobilized encouraged a biopanning approach to screen for potential protein interactors. Phage display with two Arabidopsis seed, T7 phage, cDNA libraries, normalized for transcripts present in the mature, dehydrated, 12-, 24-, or 36-h imbibed seeds, were used in biopans against recombinant SMP1 and GmPM28. Phage titer increased considerably over four rounds of biopanning for both LEA proteins, but not for BSA, at both 25 and at 41 °C, regardless of the library used. The prevalence of multiple, independent clones encoding portions of specific proteins repeatedly retrieved from different libraries, temperatures and baits, provides evidence suggesting these LEA proteins are discriminating which proteins they protect, a novel finding. The identification of putative LEA-interacting proteins provides targets for reverse genetic approaches to further dissect the induction of secondary dormancy in seeds in response to heat stress.

  8. Comprehensive identification of protein substrates of the Dot/Icm type IV transporter of Legionella pneumophila.

    Wenhan Zhu

    Full Text Available A large number of proteins transferred by the Legionella pneumophila Dot/Icm system have been identified by various strategies. With no exceptions, these strategies are based on one or more characteristics associated with the tested proteins. Given the high level of diversity exhibited by the identified proteins, it is possible that some substrates have been missed in these screenings. In this study, we took a systematic method to survey the L. pneumophila genome by testing hypothetical orfs larger than 300 base pairs for Dot/Icm-dependent translocation. 798 of the 832 analyzed orfs were successfully fused to the carboxyl end of β-lactamase. The transfer of the fusions into mammalian cells was determined using the β-lactamase reporter substrate CCF4-AM. These efforts led to the identification of 164 proteins positive in translocation. Among these, 70 proteins are novel substrates of the Dot/Icm system. These results brought the total number of experimentally confirmed Dot/Icm substrates to 275. Sequence analysis of the C-termini of these identified proteins revealed that Lpg2844, which contains few features known to be important for Dot/Icm-dependent protein transfer can be translocated at a high efficiency. Thus, our efforts have identified a large number of novel substrates of the Dot/Icm system and have revealed the diverse features recognizable by this protein transporter.

  9. Identification of a DNA binding protein cooperating with estrogen receptor as RIZ (retinoblastoma interacting zinc finger protein).

    Medici, N; Abbondanza, C; Nigro, V; Rossi, V; Piluso, G; Belsito, A; Gallo, L; Roscigno, A; Bontempo, P; Puca, A A; Molinari, A M; Moncharmont, B; Puca, G A

    1999-11-01

    Double-stranded DNA fragments were selected from a random pool by repeated cycles of estrogen receptor-specific immunoprecipitation in the presence of a nuclear extract and PCR amplification (cyclic amplification and selection of target, CAST, for multiple elements). Fragments were cloned and sequence analysis indicated the 5-nucleotide word TTGGC was the most recurrent sequence unrelated to the known estrogen responsive element. Screening a HeLa cell expression library with a probe designed with multiple repeats of this sequence resulted in the identification of a 1700-aa protein showing a complete homology with the product of the human retinoblastoma-interacting zinc-finger gene RIZ. In transfection experiments, RIZ protein was able to bestow estrogen inducibility to a promoter containing an incomplete estrogen responsive element and a TTGGC motif. RIZ protein present in MCF-7 cell nuclear extract retarded the TTGGC-containing probe in an EMSA. Estrogen receptor was co-immunoprecipitated from MCF-7 cell extract by antibodies to RIZ protein and vice versa, thus indicating an existing interaction between these two proteins. PMID:10544042

  10. Phosphotyrosine in proteins: chemical and immunological identification and isolation of phosphotyrosyl proteins

    Proteins which contain phosphotyrosine (Tyr-P) residues can be identified and purified by utilizing the chemical and immunological properties of the Tyr-P moiety. The stability of Tyr-P to basic conditions which cleave most ser/thr phosphoryl bonds enabled the analysis of cellular phosphoproteins after Na dodecyl SO4 gel electrophoresis. Analyses were simplified using a nylon electroblot of the gel which is stable to 1 hr incubation in 1 N NaOH at 650C. Autoradiograms of nylon blots before and after base treatment were performed on 32P-labeled phosphoproteins of normal and retrovirus transformed fibroblasts. Conditions for optimal labeling of cellular proteins were studied by protein tyrosine kinase activity measurements using poly glu4tyr. Differences in base resistant phosphoprotein patterns could be seen for each transformed cell line. Confirmation that certain base resistant phosphoproteins contained Tyr-P was achieved by immunostaining with affinity-purified sheep anti-Tyr-P antibodies (Ab). These Ab served as useful reagents to study Tyr-P proteins since they inhibit their dephosphorylation by phosphatases, and precipitate them in the presence of rabbit anti-sheep IgG Ab. Tyr-P protein was immobilized when mixed with anti-Tyr-P Ab and incubated with immobilized protein A sepharose rabbit anti-sheep IgG Ab complex. Selective elution of the Tyr-P protein was achieved with free Tyr-P

  11. Identification of proteins that interact with murine cytomegalovirus early protein M112-113 in brain

    WANG Hui; LIU Xing-lou; SHU Sai-nan; HUANG Yong-jian; FANG Feng

    2011-01-01

    Background Murine cytomegalovirus (MCMV) early protein M112-113 is involved in viral DNA replication and believed to play a crucial role in the viral pathogenesis.To investigate the biological function of M112-113 protein in the pathogenesis of the brain disorders caused by cytomegalovirus (CMV),a screening for proteins interacting with M112-113 was performed by a yeast two-hybrid system.Methods Bait plasmid pGBKT7-M112-113 was constructed and transformed into AH109 yeast.After confirmation of the expression of MCMV M112-113 in yeast,the bait yeast was mated with a prey yeast containing mouse brain cDNA library plasmid to screen the proteins interacting with M112-113.Interactions between M112-113 and the obtained proteins were verified by yeast two-hybrid assay and chemiluminescent co-immunoprecipitaion.Results Two proteins interacting with M112-113 were identified,including metastasis-associated 1 (MTA1) and zinc finger,CCHC domain containing 18 (ZCCHC18).M112-113 protein could interact with MTA1 or ZCCHC18 in yeast and mammalian cells.Conclusion The interactions of M112-113 with MTA1 or ZCCHC18 may be related to the pathogenesis of MCMV-associated disease in central nervous system.

  12. Preliminary identification of secreted proteins by Leptospira interrogans serovar Kennewicki strain Pomona Fromm

    Ricardi, L.M.P.; Portaro, F.C.; Abreu, P.A.E.; Barbosa, A.S. [Instituto Butantan, Sao Paulo, SP (Brazil); Morais, Z.M.; Vasconcellos, S.A. [Universidade de Sao Paulo (USP), SP (Brazil)

    2012-07-01

    Full text: This project aimed to identify secreted proteins by pathogenic Leptospira interrogans serovar Kennewicki strain Pomona Fromm (LPF) by proteomic analyses. The strain LPF, whose virulence was maintained by passages in hamsters, were cultured in EMJH medium. The supernatants were centrifuged, dialyzed and subjected to lyophilization. Protein samples were resolved first by IEF at pH 3 to 10, immobilized pH gradient 13-cm strips. Strips were then processed for the second-dimension separation on SDS-polyacrylamide gels. Proteins from gel spots were subjected to reduction, cysteine-alkylation, and in-gel tryptic digestion, and analyzed by LC/MS/MS spectrometry. Liquid chromatography-based separation followed by automated tandem mass spectrometry was also used to identify secreted proteins. In silico analyses were performed using the PSORTbV.3.0 program and SignalP server. One major obstacle to secretome studies is the difficulty to obtain extracts of secreted proteins without citoplasmatic contamination. In addition, the extraction of low concentration proteins from large volumes of culture media, which are rich in salts, BSA and other compounds, frequently interfere with most proteomics techniques. For these reasons, several experimental approaches were used to optimize the protocol applied. In spite of this fact, our analysis resulted in the identification of 200 proteins with high confidence. Only 5 of 63 secreted proteins predicted by in silico analysis were found. Other classes identified included proteins that possess signal peptide but whose cellular localization prediction is unknown or may have multiple localization sites, and proteins that lack signal peptide and are thus thought to be secreted via non conventional mechanisms or resulting from cytoplasmic contamination by cell lysis. Many of these are hypothetical proteins with no putative conserved domains detected. To our knowledge, this is the first study to identify secreted proteins by

  13. Preliminary identification of secreted proteins by Leptospira interrogans serovar Kennewicki strain Pomona Fromm

    Full text: This project aimed to identify secreted proteins by pathogenic Leptospira interrogans serovar Kennewicki strain Pomona Fromm (LPF) by proteomic analyses. The strain LPF, whose virulence was maintained by passages in hamsters, were cultured in EMJH medium. The supernatants were centrifuged, dialyzed and subjected to lyophilization. Protein samples were resolved first by IEF at pH 3 to 10, immobilized pH gradient 13-cm strips. Strips were then processed for the second-dimension separation on SDS-polyacrylamide gels. Proteins from gel spots were subjected to reduction, cysteine-alkylation, and in-gel tryptic digestion, and analyzed by LC/MS/MS spectrometry. Liquid chromatography-based separation followed by automated tandem mass spectrometry was also used to identify secreted proteins. In silico analyses were performed using the PSORTbV.3.0 program and SignalP server. One major obstacle to secretome studies is the difficulty to obtain extracts of secreted proteins without citoplasmatic contamination. In addition, the extraction of low concentration proteins from large volumes of culture media, which are rich in salts, BSA and other compounds, frequently interfere with most proteomics techniques. For these reasons, several experimental approaches were used to optimize the protocol applied. In spite of this fact, our analysis resulted in the identification of 200 proteins with high confidence. Only 5 of 63 secreted proteins predicted by in silico analysis were found. Other classes identified included proteins that possess signal peptide but whose cellular localization prediction is unknown or may have multiple localization sites, and proteins that lack signal peptide and are thus thought to be secreted via non conventional mechanisms or resulting from cytoplasmic contamination by cell lysis. Many of these are hypothetical proteins with no putative conserved domains detected. To our knowledge, this is the first study to identify secreted proteins by

  14. PKIS: computational identification of protein kinases for experimentally discovered protein phosphorylation sites

    Zou, Liang; Wang, Mang; Shen, Yi; Liao, Jie; Li, Ao; Wang, Minghui

    2013-01-01

    Background Dynamic protein phosphorylation is an essential regulatory mechanism in various organisms. In this capacity, it is involved in a multitude of signal transduction pathways. Kinase-specific phosphorylation data lay the foundation for reconstruction of signal transduction networks. For this reason, precise annotation of phosphorylated proteins is the first step toward simulating cell signaling pathways. However, the vast majority of kinase-specific phosphorylation data remain undiscov...

  15. Identification of the lipid droplet targeting domain of the Cidea protein[S

    Christianson, Jennifer L.; Boutet, Emilie; Puri, Vishwajeet; Chawla, Anil; Czech, Michael P.

    2010-01-01

    Cidea, the cell death-inducing DNA fragmentation factor-α-like effector (CIDE) domain-containing protein, is targeted to lipid droplets in mouse adipocytes, where it inhibits triglyceride hydrolysis and promotes lipid storage. In mice, Cidea may prevent lipolysis by binding and shielding lipid droplets from lipase association. Here we demonstrate that human Cidea localizes with lipid droplets in both adipocyte and nonadipocyte cell lines, and we ascribe specific functions to its protein domai...

  16. Technical advance: identification of plant actin-binding proteins by F-actin affinity chromatography

    Hu, S.; Brady, S. R.; Kovar, D. R.; Staiger, C. J.; Clark, G. B.; Roux, S. J.; Muday, G. K.

    2000-01-01

    Proteins that interact with the actin cytoskeleton often modulate the dynamics or organization of the cytoskeleton or use the cytoskeleton to control their localization. In plants, very few actin-binding proteins have been identified and most are thought to modulate cytoskeleton function. To identify actin-binding proteins that are unique to plants, the development of new biochemical procedures will be critical. Affinity columns using actin monomers (globular actin, G-actin) or actin filaments (filamentous actin, F-actin) have been used to identify actin-binding proteins from a wide variety of organisms. Monomeric actin from zucchini (Cucurbita pepo L.) hypocotyl tissue was purified to electrophoretic homogeneity and shown to be native and competent for polymerization to actin filaments. G-actin, F-actin and bovine serum albumin affinity columns were prepared and used to separate samples enriched in either soluble or membrane-associated actin-binding proteins. Extracts of soluble actin-binding proteins yield distinct patterns when eluted from the G-actin and F-actin columns, respectively, leading to the identification of a putative F-actin-binding protein of approximately 40 kDa. When plasma membrane-associated proteins were applied to these columns, two abundant polypeptides eluted selectively from the F-actin column and cross-reacted with antiserum against pea annexins. Additionally, a protein that binds auxin transport inhibitors, the naphthylphthalamic acid binding protein, which has been previously suggested to associate with the actin cytoskeleton, was eluted in a single peak from the F-actin column. These experiments provide a new approach that may help to identify novel actin-binding proteins from plants.

  17. Multi-Segment Direct Inject nano-ESI-LTQ-FT-ICR-MS/MS For Protein Identification

    Neal Rachel E

    2011-07-01

    Full Text Available Abstract Reversed phase high performance liquid chromatography (HPLC interfaced to electrospray tandem mass spectrometry (MS/MS is commonly used for the identification of peptides from proteolytically cleaved proteins embedded in a polyacrylamide gel matrix as well as for metabolomics screening. HPLC separations are time consuming (30-60 min average, costly (columns and mobile phase reagents, and carry the risk of column carry over between samples. The use of a chip-based nano-ESI platform (Advion NanoMate based on replaceable nano-tips for sample introduction eliminates sample cross-contamination, provides unchanging sample matrix, and enhances spray stability with attendant increases in reproducibility. Recent papers have established direct infusion nano-ESI-MS/MS utilizing the NanoMate for protein identification of gel spots based on full range MS scans with data dependent MS/MS. In a full range scan, discontinuous ion suppression due to sample matrix can impair identification of putative mass features of interest in both the proteomic and metabolomic workflows. In the current study, an extension of an established direct inject nano-ESI-MS/MS method is described that utilizes the mass filtering capability of an ion-trap for ion packet separation into four narrow mass ranges (50 amu overlap with segment specific dynamic data dependent peak inclusion for MS/MS fragmentation (total acquisition time of 3 minutes. Comparison of this method with a more traditional nanoLC-MS/MS based protocol utilizing solvent/sample stream splitting to achieve nanoflow demonstrated comparable results for protein identification from polyacrylamide gel matrices. The advantages of this method include full automation, lack of cross-contamination, low cost, and high throughput.

  18. Normalization with genes encoding ribosomal proteins but not GAPDH provides an accurate quantification of gene expressions in neuronal differentiation of PC12 cells

    Lim Qing-En

    2010-01-01

    Full Text Available Abstract Background Gene regulation at transcript level can provide a good indication of the complex signaling mechanisms underlying physiological and pathological processes. Transcriptomic methods such as microarray and quantitative real-time PCR require stable reference genes for accurate normalization of gene expression. Some but not all studies have shown that housekeeping genes (HGKs, β-actin (ACTB and glyceraldehyde-3-phosphate dehydrogenase (GAPDH, which are routinely used for normalization, may vary significantly depending on the cell/tissue type and experimental conditions. It is currently unclear if these genes are stably expressed in cells undergoing drastic morphological changes during neuronal differentiation. Recent meta-analysis of microarray datasets showed that some but not all of the ribosomal protein genes are stably expressed. To test the hypothesis that some ribosomal protein genes can serve as reference genes for neuronal differentiation, a genome-wide analysis was performed and putative reference genes were identified based on stability of expressions. The stabilities of these potential reference genes were then analyzed by reverse transcription quantitative real-time PCR in six differentiation conditions. Results Twenty stably expressed genes, including thirteen ribosomal protein genes, were selected from microarray analysis of the gene expression profiles of GDNF and NGF induced differentiation of PC12 cells. The expression levels of these candidate genes as well as ACTB and GAPDH were further analyzed by reverse transcription quantitative real-time PCR in PC12 cells differentiated with a variety of stimuli including NGF, GDNF, Forskolin, KCl and ROCK inhibitor, Y27632. The performances of these candidate genes as stable reference genes were evaluated with two independent statistical approaches, geNorm and NormFinder. Conclusions The ribosomal protein genes, RPL19 and RPL29, were identified as suitable reference genes

  19. Identification of an immunogenic protein of Giardia lamblia using monoclonal antibodies generated from infected mice

    Jael Quintero

    2013-08-01

    Full Text Available The humoral immune response plays an important role in the clearance of Giardia lamblia. However, our knowledge about the specific antigens of G. lamblia that induce a protective immune response is limited. The purpose of this study was to identify and characterise the immunogenic proteins of G. lamblia in a mouse model. We generated monoclonal antibodies (moAbs specific to G. lamblia (1B10, 2C9.D11, 3C10.E5, 3D10, 5G8.B5, 5F4, 4C7, 3C5 and 3C6 by fusing splenocytes derived from infected mice. Most of these moAbs recognised a band of ± 71 kDa (5G8 protein and this protein was also recognised by serum from the infected mice. We found that the moAbs recognised conformational epitopes of the 5G8 protein and that this antigen is expressed on the cell surface and inside trophozoites. Additionally, antibodies specific to the 5G8 protein induced strong agglutination (> 70-90% of trophozoites. We have thus identified a highly immunogenic antigen of G. lamblia that is recognised by the immune system of infected mice. In summary, this study describes the identification and partial characterisation of an immunogenic protein of G. lamblia. Additionally, we generated a panel of moAbs specific for this protein that will be useful for the biochemical and immunological characterisation of this immunologically interesting Giardia molecule.

  20. Generation and Identification of Monoclonal Antibody Against Porcine Adipocyte Plasma Membrane Proteins

    CAO Jin-ling; CHEN Jian-jie; WANG Zhi-rui; WANG Jun-dong

    2007-01-01

    Production of monoclonal antibody against porcine adipocyte plasma membrane proteins to explore a new way of controlling body fat deposition and improving carcass quality is discussed in this article. Membrane proteins of pig adipocyte plasma membrane proteins were extracted with the help of sucrose density gradient centrifugation, and two kinds of proteins were obtained. The monoclonal antibody (designated 3B2 and 3F3) of IgGl and IgG2b subclass against adipocyte membrane proteins were produced by immunization, with adipocyte membrane proteins as an antigen, and its titer was 1:105 detected by enzyme-linked immunoadsorbent assay (ELISA). The cell strains were identified by analyzing the number of chromosomes, the heat stability, the acid and alkali, the types and subtypes of immnoglobulin, and its peculiarities and affinities. Through identification, the chromosome number of hybridoma cell strains was from 80 to 100 and the strains formed good hybridomas colonies. The strains' affinity constants were 4.63×109 and 3.75×109 (mol L-1)-1, respectively. At the same time, the McAb secreted was stable to environmental factors, such as, temperature, acid, alkali and so on. The monoclonal antibodies had been obtained and their specificity to porcine adipocyte plasma membrane proteins had been identified.

  1. XML Identification of Electrophoretic Protein Pattern of Fusaium Verticillioides Isolates from Maize by SDS-PAGE

    Daie Ghazvini, R. (PhD

    2015-05-01

    Full Text Available Background and Objective: Some of them possess high allergenic components and some produce the various toxins such as fumonisins and T2-toxins. Among the Toxigens, Fusarium verticillioides (Gibberella moniliformis is intensely toxigen. This fungus produces B1, B2, B3 fumonisins on some crops. The purpose of this study is the identification of an electrophoretic cytoplasmic protein pattern of Iranian Fusarium verticillioides. Material and Methods: In this study 20 isolates of this species were analyzed. Using the Bradford method was measured protein range of each isolate and obtained its’ molecular weight by SDS-PAGE. Results: The results indicated total 50 protein bands with molecular weight from 7 to 157 KD. Maximum protein bands were related to F4 and F10-c isolates with moderate toxigenicity and minimum protein bands to M2-a, K6 and A7-b isolates with Low, moderate and high toxigenicities. Conclusion: The comparison of the electrophoretic cytoplasmic protein pattern of isolates with grouping based on toxigenicity did not show any correlation between their protein pattern and range of toxigenicity

  2. Bacillus anthracis secretome time course under host-simulated conditions and identification of immunogenic proteins

    Whittington Jessica

    2007-07-01

    accumulation may be relevant in elucidation of the progression of pathogenicity, identification of therapeutics and diagnostic markers, and vaccine development. This study also adds to the continuously growing list of identified Bacillus anthracis secretome proteins.

  3. Proteomic identification of novel differentiation plasma protein markers in hypobaric hypoxia-induced rat model.

    Yasmin Ahmad

    Full Text Available BACKGROUND: Hypobaric hypoxia causes complex changes in the expression of genes, including stress related genes and corresponding proteins that are necessary to maintain homeostasis. Whereas most prior studies focused on single proteins, newer methods allowing the simultaneous study of many proteins could lead to a better understanding of complex and dynamic changes that occur during the hypobaric hypoxia. METHODS: In this study we investigated the temporal plasma protein alterations of rat induced by hypobaric hypoxia at a simulated altitude of 7620 m (25,000 ft, 282 mm Hg in a hypobaric chamber. Total plasma proteins collected at different time points (0, 6, 12 and 24 h, separated by two-dimensional electrophoresis (2-DE and identified using matrix assisted laser desorption ionization time of flight (MALDI-TOF/TOF. Biological processes that were enriched in the plasma proteins during hypobaric hypoxia were identified using Gene Ontology (GO analysis. According to their properties and obvious alterations during hypobaric hypoxia, changes of plasma concentrations of Ttr, Prdx-2, Gpx -3, Apo A-I, Hp, Apo-E, Fetub and Nme were selected to be validated by Western blot analysis. RESULTS: Bioinformatics analysis of 25 differentially expressed proteins showed that 23 had corresponding candidates in the database. The expression patterns of the eight selected proteins observed by Western blot were in agreement with 2-DE results, thus confirming the reliability of the proteomic analysis. Most of the proteins identified are related to cellular defense mechanisms involving anti-inflammatory and antioxidant activity. Their presence reflects the consequence of serial cascades initiated by hypobaric hypoxia. CONCLUSION/SIGNIFICANCE: This study provides information about the plasma proteome changes induced in response to hypobaric hypoxia and thus identification of the candidate proteins which can act as novel biomarkers.

  4. Phytochemical-mediated Protein Expression Profiling and the Potential Applications in Therapeutic Drug Target Identifications.

    Wong, Fai-Chu; Tan, Siok-Thing; Chai, Tsun-Thai

    2016-07-29

    Many phytochemicals derived from edible medicinal plants have been investigated intensively for their various bioactivities. However, the detailed mechanism and their corresponding molecular targets frequently remain elusive. In this review, we present a summary of the research works done on phytochemical-mediated molecular targets, identified via proteomic approach. Concurrently, we also highlighted some pharmaceutical drugs which could be traced back to their origins in phytochemicals. For ease of presentation, these identified protein targets were categorized into two important healthcare-related fields, namely anti-bacterial and anti-cancer research. Through this review, we hope to highlight the usefulness of comparative proteomic as a powerful tool in phytochemical-mediated protein target identifications. Likewise, we wish to inspire further investigations on some of these protein targets identified over the last few years. With contributions from all researchers, the accumulative efforts could eventually lead to the discovery of some target-specific, low-toxicity therapeutic agents. PMID:26193174

  5. Microbial Protein-Antigenome Determination (MAD) Technology: A Proteomics-Based Strategy for Rapid Identification of Microbial Targets of Host Humoral Immune Responses

    Immunogenic, pathogen-specific proteins have excellent potential for development of novel management modalities. Here, we describe an innovative application of proteomics called Microbial protein-Antigenome Determination (MAD) Technology for rapid identification of native microbial proteins that eli...

  6. Identification and quantification of DNA repair protein apurinic/apyrimidinic endonuclease 1 (APE1 in human cells by liquid chromatography/isotope-dilution tandem mass spectrometry.

    Güldal Kirkali

    Full Text Available Unless repaired, DNA damage can drive mutagenesis or cell death. DNA repair proteins may therefore be used as biomarkers in disease etiology or therapeutic response prediction. Thus, the accurate determination of DNA repair protein expression and genotype is of fundamental importance. Among DNA repair proteins involved in base excision repair, apurinic/apyrimidinic endonuclease 1 (APE1 is the major endonuclease in mammals and plays important roles in transcriptional regulation and modulating stress responses. Here, we present a novel approach involving LC-MS/MS with isotope-dilution to positively identify and accurately quantify APE1 in human cells and mouse tissue. A completely (15N-labeled full-length human APE1 was produced and used as an internal standard. Fourteen tryptic peptides of both human APE1 (hAPE1 and (15N-labeled hAPE1 were identified following trypsin digestion. These peptides matched the theoretical peptides expected from trypsin digestion and provided a statistically significant protein score that would unequivocally identify hAPE1. Using the developed methodology, APE1 was positively identified and quantified in nuclear and cytoplasmic extracts of multiple human cell lines and mouse liver using selected-reaction monitoring of typical mass transitions of the tryptic peptides. We also show that the methodology can be applied to the identification of hAPE1 variants found in the human population. The results describe a novel approach for the accurate measurement of wild-type and variant forms of hAPE1 in vivo, and ultimately for defining the role of this protein in disease development and treatment responses.

  7. Identification of maturation and protein synthesis related proteins from porcine oocytes during in vitro maturation

    Seo Kang

    2011-06-01

    Full Text Available Abstract Background In vitro maturation (IVM of mammalian oocytes is divided into the GV (germinal vesicle stage, MI (metaphase I stage and MII (metaphase II stage stages, and only fully mature oocytes have acquired the ability to be fertilized and initiate zygotic development. These observations have been mostly based on morphological evaluations, but the molecular events governing these processes are not fully understood. The aim of the present study was to better understand the processes involved in the molecular regulation of IVM using 2-DE analysis followed by mass spectrometry to identify proteins that are differentially expressed during oocyte IVM. Result A total of 16 up-regulated and 12 down-regulated proteins were identified. To investigate the IVM process, we specifically focused on the proteins that were up-regulated during the MII stage when compared with the GV stage, which included PRDX 2, GST, SPSY, myomegalin, PED4D, PRKAB 1, and DTNA. These up-regulated proteins were functionally involved in redox regulation and the cAMP-dependent pathway, which are essential for the intracellular signaling involved in oocyte maturation. Interestingly, the PDE4D and its partner, myomegalin, during the MII stage was consistently confirmed up-regulation by western blot analyses. Conclusion These results could be used to better understand some aspects of the molecular mechanisms underlying porcine oocyte maturation. This study identified some regulatory proteins that may have important roles in the molecular events involved in porcine oocyte maturation, particularly with respect to the regulation of oocyte meiotic resumption, MII arrest and oocyte activation. In addition, this study may have beneficial applications not only to basic science with respect to the improvement of oocyte culture conditions but also to mammalian reproductive biotechnology with potential implications.

  8. Identification of peptides that inhibit regulator of G protein signaling 4 function.

    Wang, Yuren; Lee, Yan; Zhang, Jie; Young, Kathleen H

    2008-01-01

    Regulators of G protein signaling (RGS) are a family of GTPase-activating proteins (GAP) that interact with heterotrimeric G proteins in the negative regulation of G-protein-coupled receptor (GPCR) signaling. RGS4, the first identified mammalian member of the RGS family, has been implicated in many GPCR signaling pathways involved in disease states. We report herein the identification of a 16-amino-acid peptide (P17) as an inhibitor of RGS4. The peptide was found by screening a random peptide library using RGS4 as 'bait' in a yeast two-hybrid system. This peptide inhibited RGS4 GAP activity on Galpha(i1)in a GTPase assay, and blocked the interaction between RGS4 and Galpha(i1)in a pull-down assay. The peptide displayed dose-dependent inhibition of RGS4 and Galpha-interacting protein (GAIP) GAP activities, yet showed no substantial effect on RGS7. Electrophysiological studies in Xenopus oocytes demonstrated that P17 attenuates RGS4 modulation of M(2) muscarinic receptor stimulation of GIRK (G-protein-mediated inwardly rectifying potassium) channels. Deletion of an arginine at the N terminus of P17 abolished its ability to inhibit RGS4 GAP activity, as did deletions of C-terminal residues. The P17 peptide showed no similarity to any known peptide sequence. Further investigation and optimization of the peptide may provide unique information for the development of RGS4 inhibitors for future therapeutic application. PMID:18547979

  9. PPINGUIN: Peptide Profiling Guided Identification of Proteins improves quantitation of iTRAQ ratios

    Bauer Chris

    2012-02-01

    Full Text Available Abstract Background Recent development of novel technologies paved the way for quantitative proteomics. One of the most important among them is iTRAQ, employing isobaric tags for relative or absolute quantitation. Despite large progress in technology development, still many challenges remain for derivation and interpretation of quantitative results. One of these challenges is the consistent assignment of peptides to proteins. Results We have developed Peptide Profiling Guided Identification of Proteins (PPINGUIN, a statistical analysis workflow for iTRAQ data addressing the problem of ambiguous peptide quantitations. Motivated by the assumption that peptides uniquely derived from the same protein are correlated, our method employs clustering as a very early step in data processing prior to protein inference. Our method increases experimental reproducibility and decreases variability of quantitations of peptides assigned to the same protein. Giving further support to our method, application to a type 2 diabetes dataset identifies a list of protein candidates that is in very good agreement with previously performed transcriptomics meta analysis. Making use of quantitative properties of signal patterns identified, PPINGUIN can reveal new isoform candidates. Conclusions Regarding the increasing importance of quantitative proteomics we think that this method will be useful in practical applications like model fitting or functional enrichment analysis. We recommend to use this method if quantitation is a major objective of research.

  10. Proteomic Identification of Altered Cerebral Proteins in the Complex Regional Pain Syndrome Animal Model

    Francis Sahngun Nahm

    2014-01-01

    Full Text Available Background. Complex regional pain syndrome (CRPS is a rare but debilitating pain disorder. Although the exact pathophysiology of CRPS is not fully understood, central and peripheral mechanisms might be involved in the development of this disorder. To reveal the central mechanism of CRPS, we conducted a proteomic analysis of rat cerebrum using the chronic postischemia pain (CPIP model, a novel experimental model of CRPS. Materials and Methods. After generating the CPIP animal model, we performed a proteomic analysis of the rat cerebrum using a multidimensional protein identification technology, and screened the proteins differentially expressed between the CPIP and control groups. Results. A total of 155 proteins were differentially expressed between the CPIP and control groups: 125 increased and 30 decreased; expressions of proteins related to cell signaling, synaptic plasticity, regulation of cell proliferation, and cytoskeletal formation were increased in the CPIP group. However, proenkephalin A, cereblon, and neuroserpin were decreased in CPIP group. Conclusion. Altered expression of cerebral proteins in the CPIP model indicates cerebral involvement in the pathogenesis of CRPS. Further study is required to elucidate the roles of these proteins in the development and maintenance of CRPS.

  11. Identification of ZASP, a novel protein associated to Zona occludens-2

    With the aim of discovering new molecular interactions of the tight junction protein ZO-2, a two-hybrid screen was performed on a human kidney cDNA library using as bait the middle segment of ZO-2. Through this assay we identified a 24-kDa novel protein herein named ZASP for ZO-2 associated speckle protein. ZO-2/ZASP interaction further confirmed by pull down and immunoprecipitation experiments, requires the presence of the intact PDZ binding motif SQV of ZASP and the third PDZ domain of ZO-2. ZASP mRNA and protein are present in the kidney and in several epithelial cell lines. Endogenous ZASP is expressed primarily in nuclear speckles in co-localization with splicing factor SC-35. Nocodazole treatment and wash out reveals that ZASP disappears from the nucleus during mitosis in accordance with speckle disassembly during metaphase. ZASP amino acid sequence exhibits a canonical nuclear exportation signal and in agreement the protein exits the nucleus through a process mediated by exportin/CRM1. ZASP over-expression blocks the inhibitory activity of ZO-2 on cyclin D1 gene transcription and protein expression. The identification of ZASP helps to unfold the complex nuclear molecular arrays that form on ZO-2 scaffolds.

  12. Experimental strategies for the identification and characterization of adhesive proteins in animals: a review.

    Hennebert, Elise; Maldonado, Barbara; Ladurner, Peter; Flammang, Patrick; Santos, Romana

    2015-02-01

    Adhesive secretions occur in both aquatic and terrestrial animals, in which they perform diverse functions. Biological adhesives can therefore be remarkably complex and involve a large range of components with different functions and interactions. However, being mainly protein based, biological adhesives can be characterized by classical molecular methods. This review compiles experimental strategies that were successfully used to identify, characterize and obtain the full-length sequence of adhesive proteins from nine biological models: echinoderms, barnacles, tubeworms, mussels, sticklebacks, slugs, velvet worms, spiders and ticks. A brief description and practical examples are given for a variety of tools used to study adhesive molecules at different levels from genes to secreted proteins. In most studies, proteins, extracted from secreted materials or from adhesive organs, are analysed for the presence of post-translational modifications and submitted to peptide sequencing. The peptide sequences are then used directly for a BLAST search in genomic or transcriptomic databases, or to design degenerate primers to perform RT-PCR, both allowing the recovery of the sequence of the cDNA coding for the investigated protein. These sequences can then be used for functional validation and recombinant production. In recent years, the dual proteomic and transcriptomic approach has emerged as the best way leading to the identification of novel adhesive proteins and retrieval of their complete sequences. PMID:25657842

  13. Comprehensive identification of substrates for F-box proteins by differential proteomics analysis.

    Yumimoto, Kanae; Matsumoto, Masaki; Oyamada, Koji; Moroishi, Toshiro; Nakayama, Keiichi I

    2012-06-01

    Although elucidation of enzyme-substrate relations is fundamental to the advancement of biology, universal approaches to the identification of substrates for a given enzyme have not been established. It is especially difficult to identify substrates for ubiquitin ligases, given that most such substrates are immediately ubiquitylated and degraded as a result of their association with the enzyme. We here describe the development of a new approach, DiPIUS (differential proteomics-based identification of ubiquitylation substrates), to the discovery of substrates for ubiquitin ligases. We applied DiPIUS to Fbxw7α, Skp2, and Fbxl5, three of the most well-characterized F-box proteins, and identified candidate substrates including previously known targets. DiPIUS is thus a powerful tool for unbiased and comprehensive screening for substrates of ubiquitin ligases. PMID:22524983

  14. Identification of Pneumococcal Surface Protein A as a Lactoferrin-Binding Protein of Streptococcus pneumoniae

    Hammerschmidt, Sven; Bethe, Gesina; H. Remane, Petra; Chhatwal, Gursharan S.

    1999-01-01

    Lactoferrin (Lf), an iron-sequestering glycoprotein, predominates in mucosal secretions, where the level of free extracellular iron (10−18 M) is not sufficient for bacterial growth. This represents a mechanism of resistance to bacterial infections by prevention of colonization of the host by pathogens. In this study we were able to show that Streptococcus pneumoniae specifically recognizes and binds the iron carrier protein human Lf (hLf). Pretreatment of pneumococci with proteases reduced hL...

  15. Identification, characterization and antigenicity of the Plasmodium vivax rhoptry neck protein 1 (PvRON1

    Patarroyo Manuel E

    2011-10-01

    Full Text Available Abstract Background Plasmodium vivax malaria remains a major health problem in tropical and sub-tropical regions worldwide. Several rhoptry proteins which are important for interaction with and/or invasion of red blood cells, such as PfRONs, Pf92, Pf38, Pf12 and Pf34, have been described during the last few years and are being considered as potential anti-malarial vaccine candidates. This study describes the identification and characterization of the P. vivax rhoptry neck protein 1 (PvRON1 and examine its antigenicity in natural P. vivax infections. Methods The PvRON1 encoding gene, which is homologous to that encoding the P. falciparum apical sushi protein (ASP according to the plasmoDB database, was selected as our study target. The pvron1 gene transcription was evaluated by RT-PCR using RNA obtained from the P. vivax VCG-1 strain. Two peptides derived from the deduced P. vivax Sal-I PvRON1 sequence were synthesized and inoculated in rabbits for obtaining anti-PvRON1 antibodies which were used to confirm the protein expression in VCG-1 strain schizonts along with its association with detergent-resistant microdomains (DRMs by Western blot, and its localization by immunofluorescence assays. The antigenicity of the PvRON1 protein was assessed using human sera from individuals previously exposed to P. vivax malaria by ELISA. Results In the P. vivax VCG-1 strain, RON1 is a 764 amino acid-long protein. In silico analysis has revealed that PvRON1 shares essential characteristics with different antigens involved in invasion, such as the presence of a secretory signal, a GPI-anchor sequence and a putative sushi domain. The PvRON1 protein is expressed in parasite's schizont stage, localized in rhoptry necks and it is associated with DRMs. Recombinant protein recognition by human sera indicates that this antigen can trigger an immune response during a natural infection with P. vivax. Conclusions This study shows the identification and characterization of

  16. Stealth Proteins: In Silico Identification of a Novel Protein Family Rendering Bacterial Pathogens Invisible to Host Immune Defense.

    2005-11-01

    Full Text Available There are a variety of bacterial defense strategies to survive in a hostile environment. Generation of extracellular polysaccharides has proved to be a simple but effective strategy against the host's innate immune system. A comparative genomics approach led us to identify a new protein family termed Stealth, most likely involved in the synthesis of extracellular polysaccharides. This protein family is characterized by a series of domains conserved across phylogeny from bacteria to eukaryotes. In bacteria, Stealth (previously characterized as SacB, XcbA, or WefC is encoded by subsets of strains mainly colonizing multicellular organisms, with evidence for a protective effect against the host innate immune defense. More specifically, integrating all the available information about Stealth proteins in bacteria, we propose that Stealth is a D-hexose-1-phosphoryl transferase involved in the synthesis of polysaccharides. In the animal kingdom, Stealth is strongly conserved across evolution from social amoebas to simple and complex multicellular organisms, such as Dictyostelium discoideum, hydra, and human. Based on the occurrence of Stealth in most Eukaryotes and a subset of Prokaryotes together with its potential role in extracellular polysaccharide synthesis, we propose that metazoan Stealth functions to regulate the innate immune system. Moreover, there is good reason to speculate that the acquisition and spread of Stealth could be responsible for future epidemic outbreaks of infectious diseases caused by a large variety of eubacterial pathogens. Our in silico identification of a homologous protein in the human host will help to elucidate the causes of Stealth-dependent virulence. At a more basic level, the characterization of the molecular and cellular function of Stealth proteins may shed light on fundamental mechanisms of innate immune defense against microbial invasion.

  17. Stealth proteins: in silico identification of a novel protein family rendering bacterial pathogens invisible to host immune defense.

    Peter Sperisen

    2005-11-01

    Full Text Available There are a variety of bacterial defense strategies to survive in a hostile environment. Generation of extracellular polysaccharides has proved to be a simple but effective strategy against the host's innate immune system. A comparative genomics approach led us to identify a new protein family termed Stealth, most likely involved in the synthesis of extracellular polysaccharides. This protein family is characterized by a series of domains conserved across phylogeny from bacteria to eukaryotes. In bacteria, Stealth (previously characterized as SacB, XcbA, or WefC is encoded by subsets of strains mainly colonizing multicellular organisms, with evidence for a protective effect against the host innate immune defense. More specifically, integrating all the available information about Stealth proteins in bacteria, we propose that Stealth is a D-hexose-1-phosphoryl transferase involved in the synthesis of polysaccharides. In the animal kingdom, Stealth is strongly conserved across evolution from social amoebas to simple and complex multicellular organisms, such as Dictyostelium discoideum, hydra, and human. Based on the occurrence of Stealth in most Eukaryotes and a subset of Prokaryotes together with its potential role in extracellular polysaccharide synthesis, we propose that metazoan Stealth functions to regulate the innate immune system. Moreover, there is good reason to speculate that the acquisition and spread of Stealth could be responsible for future epidemic outbreaks of infectious diseases caused by a large variety of eubacterial pathogens. Our in silico identification of a homologous protein in the human host will help to elucidate the causes of Stealth-dependent virulence. At a more basic level, the characterization of the molecular and cellular function of Stealth proteins may shed light on fundamental mechanisms of innate immune defense against microbial invasion.

  18. Immunocapture and Identification of Cell Membrane Protein Antigenic Targets of Serum Autoantibodies*

    Littleton, Edward; Dreger, Mathias; Palace, Jackie; Vincent, Angela

    2009-01-01

    There is increasing interest in the role of antibodies targeting specific membrane proteins in neurological and other diseases. The target(s) of these pathogenic antibodies is known in a few diseases, usually when candidate cell surface proteins have been tested. Approaches for identifying new antigens have mainly resulted in the identification of antibodies to intracellular proteins, which are often very useful as diagnostic markers for disease but unlikely to be directly involved in disease pathogenesis because they are not accessible to circulating antibodies. To identify cell surface antigens, we developed a “conformational membrane antigen isolation and identification” strategy. First, a cell line is identified that reacts with patient sera but not with control sera. Second, intact cells are exposed to sera to allow the binding of presumptive autoantibodies to their cell surface targets. After washing off non-bound serum components, the cells are lysed, and immune complexes are precipitated. Third, the bound surface antigen is identified by mass spectrometry. As a model system we used a muscle cell line, TE671, that endogenously expresses muscle-specific tyrosine receptor kinase (MuSK) and sera or plasmas from patients with a subtype of the autoimmune disease myasthenia gravis in which patients have autoantibodies against MuSK. MuSK was robustly detected as the only membrane protein in immunoprecipitates from all three patient samples tested and not from the three MuSK antibody-negative control samples processed in parallel. Of note, however, there were many intracellular proteins found in the immunoprecipitates from both patients and controls, suggesting that these were nonspecifically immunoprecipitated from cell extracts. The conformational membrane antigen isolation and identification technique should be of value for the detection of highly relevant antigenic targets in the growing number of suspected antibody-mediated autoimmune disorders. The

  19. Bottom–up protein identifications from microliter quantities of individual human tear samples. Important steps towards clinical relevance.

    Peter Raus

    2015-12-01

    With 375 confidently identified proteins in the healthy adult tear, the obtained results are comprehensive and in large agreement with previously published observations on pooled samples of multiple patients. We conclude that, to a limited extent, bottom–up tear protein identifications from individual patients may have clinical relevance.

  20. Identification of Novel Milk Protein Gene Variants in Sahiwal Cattle Breed of Pakistan

    Shahlla N. Mir; Tahir, Mohammad A.; Riazuddin Sheikh

    2013-01-01

    This novel study was aimed at identification of new genetic variants in Sahiwal cattle breed of Pakistan and determined the effects of these variants on milk yield. Five major milk protein genes in Sahiwal cattle were analyzed and two single nucleotide polymorphisms identified through bi-directional sequencing. These include A to T in exon XI at position 11462 of the alpha s1 casein gene; resulting in a Glutamic Acid (GAA) to Aspartic acid (GAU) substitution at position 84 of alpha s1 casein ...

  1. Identification of differentially regulated antioxidant proteins by redox proteomics in irradiated mouse liver

    Since radiation treatment has been reappraised in the treatment of hepatic tumors, radiation response in liver is emerging as a new interesting area of investigation. The main issue is how to minimize radiation-induced hepatotoxicity. In this study, identification of the repertoire of the proteins was analyzed by a proteomics approach regarding cellular responses of liver tissue to ionizing radiation. C3H/HeJ mice were given 10 Gy radiation and liver tissues were analyzed by 2-dimensional electrophoresis (2-DE) and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). At least twenty-eight proteins showed significant alteration following radiation. The increased proteins include cytochrome c, glutathione S transferase pi (GSTP), NADH dehydrogenase and peroxiredoxin VI (Prx VI), whereas the proteins such as peroxisomal bifunctional enzyme, phosphatidylethanolamin and ras relative protein decreased after radiation treatment. Mainly GSTP and Prx VI including thiol group seem to be implicated into radiation response in liver. Further study is warranted to elucidate their role in radiation-induced hepatotoxicity

  2. Bio-guided identification of proteins for the diagnosis of cysticercosis in swine.

    Nativel, Priscilla; Rahantamalala, Anjanirina; Ramiandrisoa, Sitraka; Rasoamampianinaa, Virginie; Duchateau, Magalie; Chamot-Rooke, Julia; Guebey, Remy; Rasamoelina-Andriamanivo, Harentsoaniaina; Jambou, Ronan

    2016-04-15

    Neurocysticercosis (NCC) is one of the most prevalent parasitic infection of the brain and the most common cause of seizures in adults in tropical countries. Cysticercosis is caused by larvae of Taenia solium, a human tapeworm. Pig or humans are infected by ingestion of eggs in food contaminated by human feces. Diagnosis and treatment of pigs is a pillar of the control of the disease in a country. However current diagnostic tests are based on ELISA and/or Western blot using native antigens needing laboratory facilities not available in rural areas. Development of a pen side diagnostic test for swines, makes sense. Immunochromatographic test should be adapted for this purpose. To design it we started a bio-guided identification of new proteins in cysticercus fluid. Proteins were analyzed using ion exchange chromatography and 2D separation and were selected by Western blot analysis using sera from infected/non infected pigs. Spots from the Coomassie-stained gel corresponding to these proteins were then analyzed by mass spectroscopy and proteins were identified using a bank of Expressed Sequence Tags (EST) of T. solium. Eighteen new proteins of interest were identified and nine were selected for further development. PMID:26995717

  3. Identification and analysis of copine/BONZAI proteins among evolutionarily diverse plant species.

    Zou, Baohong; Hong, Xuexue; Ding, Yuan; Wang, Xiang; Liu, He; Hua, Jian

    2016-08-01

    Copines are evolutionarily conserved calcium-dependent membrane-binding proteins with potentially critical biological functions. In plants, the function of these proteins has not been analyzed except for in Arabidopsis thaliana where they play critical roles in development and disease resistance. To facilitate functional studies of copine proteins in crop plants, genome-wide identification, curation, and phylogeny analysis of copines in 16 selected plant species were conducted. All the identified 32 plant copines have conserved features of the two C2 domains (C2A and C2B) and the von Willebrand factor A (vWA) domain. Different from animal and protozoa copines, plant copines have glycine at the second residue potentially acquiring a unique protein myristoylation modification. Phylogenetic analysis suggests that copine was present as one copy when evolving from green algae to basal flowering plants, and duplicated before the divergence of monocots and dicots. In addition, gene expression and protein localization study of rice copines suggests both conserved and different properties of copines in dicots and monocots. This study will contribute to uncovering the role of copine genes in different plant species. PMID:27484220

  4. Large-scale proteomic identification of S100 proteins in breast cancer tissues

    Attempts to reduce morbidity and mortality in breast cancer is based on efforts to identify novel biomarkers to support prognosis and therapeutic choices. The present study has focussed on S100 proteins as a potentially promising group of markers in cancer development and progression. One reason of interest in this family of proteins is because the majority of the S100 genes are clustered on a region of human chromosome 1q21 that is prone to genomic rearrangements. Moreover, there is increasing evidence that S100 proteins are often up-regulated in many cancers, including breast, and this is frequently associated with tumour progression. Samples of breast cancer tissues were obtained during surgical intervention, according to the bioethical recommendations, and cryo-preserved until used. Tissue extracts were submitted to proteomic preparations for 2D-IPG. Protein identification was performed by N-terminal sequencing and/or peptide mass finger printing. The majority of the detected S100 proteins were absent, or present at very low levels, in the non-tumoral tissues adjacent to the primary tumor. This finding strengthens the role of S100 proteins as putative biomarkers. The proteomic screening of 100 cryo-preserved breast cancer tissues showed that some proteins were ubiquitously expressed in almost all patients while others appeared more sporadic. Most, if not all, of the detected S100 members appeared reciprocally correlated. Finally, from the perspective of biomarkers establishment, a promising finding was the observation that patients which developed distant metastases after a three year follow-up showed a general tendency of higher S100 protein expression, compared to the disease-free group. This article reports for the first time the comparative proteomic screening of several S100 protein members among a large group of breast cancer patients. The results obtained strongly support the hypothesis that a significant deregulation of multiple S100 protein members is

  5. Large-scale proteomic identification of S100 proteins in breast cancer tissues

    Cancemi Patrizia

    2010-09-01

    Full Text Available Abstract Background Attempts to reduce morbidity and mortality in breast cancer is based on efforts to identify novel biomarkers to support prognosis and therapeutic choices. The present study has focussed on S100 proteins as a potentially promising group of markers in cancer development and progression. One reason of interest in this family of proteins is because the majority of the S100 genes are clustered on a region of human chromosome 1q21 that is prone to genomic rearrangements. Moreover, there is increasing evidence that S100 proteins are often up-regulated in many cancers, including breast, and this is frequently associated with tumour progression. Methods Samples of breast cancer tissues were obtained during surgical intervention, according to the bioethical recommendations, and cryo-preserved until used. Tissue extracts were submitted to proteomic preparations for 2D-IPG. Protein identification was performed by N-terminal sequencing and/or peptide mass finger printing. Results The majority of the detected S100 proteins were absent, or present at very low levels, in the non-tumoral tissues adjacent to the primary tumor. This finding strengthens the role of S100 proteins as putative biomarkers. The proteomic screening of 100 cryo-preserved breast cancer tissues showed that some proteins were ubiquitously expressed in almost all patients while others appeared more sporadic. Most, if not all, of the detected S100 members appeared reciprocally correlated. Finally, from the perspective of biomarkers establishment, a promising finding was the observation that patients which developed distant metastases after a three year follow-up showed a general tendency of higher S100 protein expression, compared to the disease-free group. Conclusions This article reports for the first time the comparative proteomic screening of several S100 protein members among a large group of breast cancer patients. The results obtained strongly support the hypothesis

  6. Imbalance in chemical space: How to facilitate the identification of protein-protein interaction inhibitors

    Kuenemann, Mélaine A.; Labbé, Céline M.; Cerdan, Adrien H.; Sperandio, Olivier

    2016-04-01

    Protein-protein interactions (PPIs) play vital roles in life and provide new opportunities for therapeutic interventions. In this large data analysis, 3,300 inhibitors of PPIs (iPPIs) were compared to 17 reference datasets of collectively ~566,000 compounds (including natural compounds, existing drugs, active compounds on conventional targets, etc.) using a chemoinformatics approach. Using this procedure, we showed that comparable classes of PPI targets can be formed using either the similarity of their ligands or the shared properties of their binding cavities, constituting a proof-of-concept that not only can binding pockets be used to group PPI targets, but that these pockets certainly condition the properties of their corresponding ligands. These results demonstrate that matching regions in both chemical space and target space can be found. Such identified classes of targets could lead to the design of PPI-class-specific chemical libraries and therefore facilitate the development of iPPIs to the stage of drug candidates.

  7. pMD-Membrane: A Method for Ligand Binding Site Identification in Membrane-Bound Proteins.

    Priyanka Prakash

    2015-10-01

    Full Text Available Probe-based or mixed solvent molecular dynamics simulation is a useful approach for the identification and characterization of druggable sites in drug targets. However, thus far the method has been applied only to soluble proteins. A major reason for this is the potential effect of the probe molecules on membrane structure. We have developed a technique to overcome this limitation that entails modification of force field parameters to reduce a few pairwise non-bonded interactions between selected atoms of the probe molecules and bilayer lipids. We used the resulting technique, termed pMD-membrane, to identify allosteric ligand binding sites on the G12D and G13D oncogenic mutants of the K-Ras protein bound to a negatively charged lipid bilayer. In addition, we show that differences in probe occupancy can be used to quantify changes in the accessibility of druggable sites due to conformational changes induced by membrane binding or mutation.

  8. The Dictyostelium discoideum cellulose synthase: Structure/function analysis and identification of interacting proteins

    Richard L. Blanton

    2004-02-19

    OAK-B135 The major accomplishments of this project were: (1) the initial characterization of dcsA, the gene for the putative catalytic subunit of cellulose synthase in the cellular slime mold Dictyostelium discoideum; (2) the detection of a developmentally regulated event (unidentified, but perhaps a protein modification or association with a protein partner) that is required for cellulose synthase activity (i.e., the dcsA product is necessary, but not sufficient for cellulose synthesis); (3) the continued exploration of the developmental context of cellulose synthesis and DcsA; (4) the isolation of a GFP-DcsA-expressing strain (work in progress); and (5) the identification of Dictyostelium homologues for plant genes whose products play roles in cellulose biosynthesis. Although our progress was slow and many of our results negative, we did develop a number of promising avenues of investigation that can serve as the foundation for future projects.

  9. Evaluating Protein Patterns of Speciality Fibres for Identification to Combat False Labeling

    Priyanka P. Rane

    2010-01-01

    Full Text Available The worldwide increase in demand for speciality (Luxury fibres for production of high quality textiles makes fibre identification necessary to ascertain blend composition and control false declaration. These fibres are often mixed with wool to give special effects to the fabric. Since, there is limited feedstock and the amount of fibre produced by the animals is less, making the fibres expensive. Due to these reasons adulteration and false declaration is commonly observed causing heavy financial loss. Fibre analysis is usually done by scanning electron microscopy. However, the method has some limitations as it is time consuming, expensive and the reliability of results depended on the expertise of the microscopist. There is a need for fast, reliable and economical method to characterize these fibres and to study composition of each animal fibre in blends. Hence to overcome this problem, we report for the first time the extraction of keratin proteins from speciality fibres by reductive urea along with thiourea (Shindai Method followed by alkylation and their characterization by Sodium Dodecyl Sulphate-Poly Acrylamide Gel Electrophoresis (SDS-PAGE. Extracted proteins were quantitated by colorimetric method of Bradford. Protein profiles were studied and animals were differentiated on the basis of polypeptide bands. The extracted proteins consisted of polypeptide bands with molecular weight in the range 66-35, 30-10 and 110-97.4 kDa. It was found that inter-species identification was possible, but intra species differentiation was difficult. When blends were studied cumulative results were obtained making differentiation difficult.

  10. Identification of multiple physicochemical and structural properties associated with soluble expression of eukaryotic proteins in cell-free bacterial extracts

    AlexanderA.Tokmakov

    2014-01-01

    Bacterial extracts are widely used to synthesize recombinant proteins. Vast data volumes have been accumulated in cell-free expression databases, covering a whole range of existing proteins. It makes possible comprehensive bioinformatics analysis and identification of multiple features associated with protein solubility and aggregation. In the present paper, an approach to identify the multiple physicochemical and structural properties of amino acid sequences associated with soluble expressio...

  11. Identification of Protein-Protein Interactions Involved in Pectin Biosynthesis in the golgi Apparatus

    Lund, Christian Have

    The plant cell wall surrounds every plant cell and is an essential component that is involved in diverse functions including plant development, morphology, resistance towards plant pathogens etc. The plant cell wall is not only important for the plant. The cell wall has many industrial applications...... for instance as food additives, nutraceutical, for paper and energy production. Pectin is a cell wall glycan that crucial for every plant growing on land. Pectin is said to be one of the most complex glycans on earth and it is hypothesized that at least 67 enzymatic reactions are involved in its...... exploit the diverse pectin structures for industrial, agronomic and biomedical uses. Increasing evidence suggests that complex formation is important in governing functional coordination of proteins involved in cell wall biosynthesis. In Arabidopsis thaliana, a homogalacturonan (HG) synthase core complex...

  12. Identification of soybean proteins from a single cell type: The root hair

    Brechenmacher, Laurent; Nguyen, Tran H.; Hixson, Kim K.; Libault, Marc; Aldrich, Joshua T.; Pasa-Tolic, Ljiljana; Stacey, Gary

    2012-11-01

    Root hairs are a terminally differentiated single cell type, mainly involved in water and nutrient uptake from the soil. The soybean root hair cell represents an excellent model for the study of single cell systems biology. In this study, we identified 5702 proteins, with at least two peptides, from soybean root hairs using an accurate mass and time tag approach, establishing the most comprehensive proteome reference map of this single cell type. We also showed that trypsin is the most appropriate enzyme for soybean proteomic studies by performing an in silico digestion of the soybean proteome database using different proteases. Although the majority of proteins identified in this study are involved in basal metabolism, the function of others are more related to root hair formation/function and include proteins involved in nutrient uptake (transporters) or vesicular trafficking (cytoskeleton and RAB proteins). Interestingly, some of these proteins appear to be specifically expressed in root hairs and constitute very good candidates for further studies to elucidate unique features of this single cell model.

  13. The proteomics of colorectal cancer: identification of a protein signature associated with prognosis.

    Donna O'Dwyer

    Full Text Available Colorectal cancer is one of the commonest types of cancer and there is requirement for the identification of prognostic biomarkers. In this study protein expression profiles have been established for colorectal cancer and normal colonic mucosa by proteomics using a combination of two dimensional gel electrophoresis with fresh frozen sections of paired Dukes B colorectal cancer and normal colorectal mucosa (n = 28, gel image analysis and high performance liquid chromatography-tandem mass spectrometry. Hierarchical cluster analysis and principal components analysis showed that the protein expression profiles of colorectal cancer and normal colonic mucosa clustered into distinct patterns of protein expression. Forty-five proteins were identified as showing at least 1.5 times increased expression in colorectal cancer and the identity of these proteins was confirmed by liquid chromatography-tandem mass spectrometry. Fifteen proteins that showed increased expression were validated by immunohistochemistry using a well characterised colorectal cancer tissue microarray containing 515 primary colorectal cancer, 224 lymph node metastasis and 50 normal colonic mucosal samples. The proteins that showed the greatest degree of overexpression in primary colorectal cancer compared with normal colonic mucosa were heat shock protein 60 (p<0.001, S100A9 (p<0.001 and translationally controlled tumour protein (p<0.001. Analysis of proteins individually identified 14-3-3β as a prognostic biomarker (χ² = 6.218, p = 0.013, HR = 0.639, 95%CI 0.448-0.913. Hierarchical cluster analysis identified distinct phenotypes associated with survival and a two-protein signature consisting of 14-3-3β and aldehyde dehydrogenase 1 was identified as showing prognostic significance (χ² = 7.306, p = 0.007, HR = 0.504, 95%CI 0.303-0.838 and that remained independently prognostic (p = 0.01, HR = 0.416, 95%CI 0.208-0.829 in a multivariate model.

  14. Accurate prediction of the binding free energy and analysis of the mechanism of the interaction of replication protein A (RPA) with ssDNA.

    Carra, Claudio; Cucinotta, Francis A

    2012-06-01

    The eukaryotic replication protein A (RPA) has several pivotal functions in the cell metabolism, such as chromosomal replication, prevention of hairpin formation, DNA repair and recombination, and signaling after DNA damage. Moreover, RPA seems to have a crucial role in organizing the sequential assembly of DNA processing proteins along single stranded DNA (ssDNA). The strong RPA affinity for ssDNA, K(A) between 10(-9)-10(-10) M, is characterized by a low cooperativity with minor variation for changes on the nucleotide sequence. Recently, new data on RPA interactions was reported, including the binding free energy of the complex RPA70AB with dC(8) and dC(5), which has been estimated to be -10 ± 0.4 kcal mol(-1) and -7 ± 1 kcal mol(-1), respectively. In view of these results we performed a study based on molecular dynamics aimed to reproduce the absolute binding free energy of RPA70AB with the dC(5) and dC(8) oligonucleotides. We used several tools to analyze the binding free energy, rigidity, and time evolution of the complex. The results obtained by MM-PBSA method, with the use of ligand free geometry as a reference for the receptor in the separate trajectory approach, are in excellent agreement with the experimental data, with ±4 kcal mol(-1) error. This result shows that the MM-PB(GB)SA methods can provide accurate quantitative estimates of the binding free energy for interacting complexes when appropriate geometries are used for the receptor, ligand and complex. The decomposition of the MM-GBSA energy for each residue in the receptor allowed us to correlate the change of the affinity of the mutated protein with the ΔG(gas+sol) contribution of the residue considered in the mutation. The agreement with experiment is optimal and a strong change in the binding free energy can be considered as the dominant factor in the loss for the binding affinity resulting from mutation. PMID:22116609

  15. Biotic stress protein markers of Aquilaria sp. for gaharu species identification in Malaysia

    Gaharu trees (Aquilaria) is in danger of extinction in the wild due to illegal logging. Its resin (Gaharu) is used for the production of highly valued incense throughout Asia. In Aquilaria sp. systemic induction of defense genes in response to mechanical wounding in nature is regulated by an 18-amino-acid peptide signal protein called systemin. This protein is produced in response to the natural stress at the vicinity of the wound and is also influenced by its genetic background. As the protein can be differentiated by its locality, the protein expressed is also found to be significantly different which, in turn, can be used for identification of this plant species. In this work, A. malaccensis and A. hirta were evaluated based on the targeted genes related to systemin. Targeted gene refers to specific sequence in genomic DNA. Sequence mining from public databases is part of the crucial process in getting the specific genes. The sequences will go through alignment step to identify conserved region prior to primer design. The primers were used in Polymerase Chain Reaction (PCR) techniques to amplify the conserved regions. It was found that both samples can be differentiated. This would be useful for plant breeders, trader and planter in ensuring authentic planting materials. This paper will describe the use of targeted genes primers as markers in identifying the Aquilaria species. (author)

  16. Proteomic identification of early salicylate- and flg22-responsive redox-sensitive proteins in Arabidopsis

    Liu, Pei

    2015-02-27

    Accumulation of reactive oxygen species (ROS) is one of the early defense responses against pathogen infection in plants. The mechanism about the initial and direct regulation of the defense signaling pathway by ROS remains elusive. Perturbation of cellular redox homeostasis by ROS is believed to alter functions of redox-sensitive proteins through their oxidative modifications. Here we report an OxiTRAQ-based proteomic study in identifying proteins whose cysteines underwent oxidative modifications in Arabidopsis cells during the early response to salicylate or flg22, two defense pathway elicitors that are known to disturb cellular redox homeostasis. Among the salicylate- and/or flg22-responsive redox-sensitive proteins are those involved in transcriptional regulation, chromatin remodeling, RNA processing, post-translational modifications, and nucleocytoplasmic shuttling. The identification of the salicylate-/flg22-responsive redox-sensitive proteins provides a foundation from which further study can be conducted toward understanding biological significance of their oxidative modifications during the plant defense response.

  17. Biosynthetically directed fractional 13C labeling facilitates identification of Phe and Tyr aromatic signals in proteins

    Analysis of 2D [13C,1H]-HSQC spectra of biosynthetic fractionally 13C labeled proteins is a reliable, straightforward means to obtain stereospecific assignments of Val and Leu methyl sites in proteins. Herein we show that the same fractionally labeled protein sample facilitates observation and identification of Phe and Tyr aromatic signals. This is the case, in part, because the fractional 13C labeling yields aromatic rings in which some of the 13C-13C J-couplings, present in uniformly labeled samples, are absent. Also, the number of homonuclear J-coupling partners differs for the δ-, ε- and ζ-carbons. This enabled us to vary their signal intensities in distinctly different ways by appropriately setting the 13C constant-time period in 2D [13C,1H]-HSQC spectra. We illustrate the application of this approach to an 18 kDa protein, c-VIAF, a modulator of apoptosis. In addition, we show that cancellation of the aromatic 13C CSA and 13C-1H dipolar interactions can be fruitfully utilized in the case of the fractionally labeled sample to obtain high resolution 13C constant-time spectra with good sensitivity

  18. Identification of α(1,6fucosylated proteins differentially expressed in human colorectal cancer

    Muinelo-Romay Laura

    2011-12-01

    Full Text Available Summary Background A universal hallmark of cancer cells is the change in their glycosylation phenotype. One of the most frequent alterations in the normal glycosylation pattern observed during carcinogenesis is the enhancement of α(1,6linked fucose residues of glycoproteins, due to the up-regulation of the α(1,6fucosyltransferase activity. Our previous results demonstrated the specific alteration of this enzyme activity and expression in colorectal cancer, suggesting its implication in tumour development and progression. Methods In the current work we combined a LCA-affinity chromatography with SDS-PAGE and mass spectrometry in order to identify α(1,6fucosylated proteins differentially expressed in colorectal cancer. This strategy allowed the identification of a group of α(1,6fucosylated proteins candidates to be involved in CRC malignancy. Results The majority of the identified proteins take part in cell signaling and interaction processes as well as in modulation of the immunological response. Likewise, we confirmed the increased expression of GRP94 in colorectal cancer tissue and the significant down-regulation of the IgGFcBP expression in tumour cells. Conclusion All these results validate the importance of core-fucosylated proteins profile analysis to understand the mechanisms which promote cancer onset and progression and to discover new tumour markers or therapeutic targets.

  19. Identification of a 251 gene expression signature that can accurately detect M. tuberculosis in patients with and without HIV co-infection.

    Noor Dawany

    Full Text Available BACKGROUND: Co-infection with tuberculosis (TB is the leading cause of death in HIV-infected individuals. However, diagnosis of TB, especially in the presence of an HIV co-infection, can be limiting due to the high inaccuracy associated with the use of conventional diagnostic methods. Here we report a gene signature that can identify a tuberculosis infection in patients co-infected with HIV as well as in the absence of HIV. METHODS: We analyzed global gene expression data from peripheral blood mononuclear cell (PBMC samples of patients that were either mono-infected with HIV or co-infected with HIV/TB and used support vector machines to identify a gene signature that can distinguish between the two classes. We then validated our results using publically available gene expression data from patients mono-infected with TB. RESULTS: Our analysis successfully identified a 251-gene signature that accurately distinguishes patients co-infected with HIV/TB from those infected with HIV only, with an overall accuracy of 81.4% (sensitivity = 76.2%, specificity = 86.4%. Furthermore, we show that our 251-gene signature can also accurately distinguish patients with active TB in the absence of an HIV infection from both patients with a latent TB infection and healthy controls (88.9-94.7% accuracy; 69.2-90% sensitivity and 90.3-100% specificity. We also demonstrate that the expression levels of the 251-gene signature diminish as a correlate of the length of TB treatment. CONCLUSIONS: A 251-gene signature is described to (a detect TB in the presence or absence of an HIV co-infection, and (b assess response to treatment following anti-TB therapy.

  20. Identification of protein tyrosine phosphatase 1B and casein as substrates for 124-v-Mos

    Stabel Silvia

    2002-04-01

    Full Text Available Abstract Background The mos proto-oncogene encodes a cytoplasmic serine/threonine-specific protein kinase with crucial function during meiotic cell division in vertebrates. Based on oncogenic amino acid substitutions the viral derivative, 124-v-Mos, displays constitutive protein kinase activity and functions independent of unknown upstream effectors of mos protein kinase. We have utilized this property of 124-v-Mos and screened for novel mos substrates in immunocomplex kinase assays in vitro. Results We generated recombinant 124-v-Mos using the baculovirus expression system in Spodoptera frugiperda cells and demonstrated constitutive kinase activity by the ability of 124-v-Mos to auto-phosphorylate and to phosphorylate vimentin, a known substrate of c-Mos. Using this approach we analyzed a panel of acidic and basic substrates in immunocomplex protein kinase assays and identified novel in vitro substrates for 124-v-Mos, the protein tyrosine phosphatase 1B (PTP1B, alpha-casein and beta-casein. We controlled mos-specific phosphorylation of PTP1B and casein in comparative assays using a synthetic kinase-inactive 124-v-Mos mutant and further, tryptic digests of mos-phosphorylated beta-casein identified a phosphopeptide specifically targeted by wild-type 124-v-Mos. Two-dimensional phosphoamino acid analyses showed that 124-v-mos targets serine and threonine residues for phosphorylation in casein at a 1:1 ratio but auto-phosphorylation occurs predominantly on serine residues. Conclusion The mos substrates identified in this study represent a basis to approach the identification of the mos-consensus phosphorylation motif, important for the development of specific inhibitors of the Mos protein kinase.

  1. Identification of similar regions of protein structures using integrated sequence and structure analysis tools

    Heiland Randy

    2006-03-01

    Full Text Available Abstract Background Understanding protein function from its structure is a challenging problem. Sequence based approaches for finding homology have broad use for annotation of both structure and function. 3D structural information of protein domains and their interactions provide a complementary view to structure function relationships to sequence information. We have developed a web site http://www.sblest.org/ and an API of web services that enables users to submit protein structures and identify statistically significant neighbors and the underlying structural environments that make that match using a suite of sequence and structure analysis tools. To do this, we have integrated S-BLEST, PSI-BLAST and HMMer based superfamily predictions to give a unique integrated view to prediction of SCOP superfamilies, EC number, and GO term, as well as identification of the protein structural environments that are associated with that prediction. Additionally, we have extended UCSF Chimera and PyMOL to support our web services, so that users can characterize their own proteins of interest. Results Users are able to submit their own queries or use a structure already in the PDB. Currently the databases that a user can query include the popular structural datasets ASTRAL 40 v1.69, ASTRAL 95 v1.69, CLUSTER50, CLUSTER70 and CLUSTER90 and PDBSELECT25. The results can be downloaded directly from the site and include function prediction, analysis of the most conserved environments and automated annotation of query proteins. These results reflect both the hits found with PSI-BLAST, HMMer and with S-BLEST. We have evaluated how well annotation transfer can be performed on SCOP ID's, Gene Ontology (GO ID's and EC Numbers. The method is very efficient and totally automated, generally taking around fifteen minutes for a 400 residue protein. Conclusion With structural genomics initiatives determining structures with little, if any, functional characterization

  2. The Identification and Validation of Novel Small Proteins in Pseudomonas Putida KT-2440

    Yang, Xiaochen; Long, Katherine

    2014-01-01

    activities and may lead to the discovery of novel antimicrobial agents. Our project focuses on the identification, validation and characterization of novel s-­‐proteins in the bacterium Pseudomonas putida KT-­2440. As there is virtually no information on s-­‐proteins in pseudomonads, the first step is to...... establish methods for the identification of short open reading frames (sORFs). A custom bioinformatics tool has been developed to predict sORFs from the genome and sRNA sequencing databases, where sequences containing a Shine-­Dalgarno (SD) sequence and start/stop codon are identified. In a second approach...

  3. Rapid identification of novel immunodominant proteins and characterization of a specific linear epitope of Campylobacter jejuni.

    Sebastian Hoppe

    Full Text Available Campylobacter jejuni remains one of the major gut pathogens of our time. Its zoonotic nature and wide-spread distribution in industrialized countries calls for a quick and reliable diagnostic tool. Antibody-based detection presents a suitable means to identify pathogenic bacteria. However, the knowledge about immunodominant targets is limited. Thus, an approach is presented, which allows for the rapid screening of numerous cDNA derived expression clones to identify novel antigens. The deeper understanding of immunodominant proteins assists in the design of diagnostic tools and furthers the insight into the bacterium's pathogenicity as well as revealing potential candidates for vaccination. We have successfully screened 1536 clones of an expression library to identify 22 proteins that have not been described as immunodominant before. After subcloning the corresponding 22 genes and expression of full-length proteins, we investigated the immunodominant character by microarrays and ELISA. Subsequently, seven proteins were selected for epitope mapping. For cj0669 and cj0920c linear epitopes were identified. For cj0669, specificity assays revealed a specific linear epitope site. Consequently, an eleven amino acid residue sequence TLIKELKRLGI was analyzed via alanine scan, which revealed the glycine residue to be significant for binding of the antibody. The innovative approach presented herein of generating cDNAs of prokaryotes in combination with a microarray platform rendering time-consuming purification steps obsolete has helped to illuminate novel immunodominant proteins of C.jejuni. The findings of a specific linear epitope pave the way for a plethora of future research and the potential use in diagnostic applications such as serological screenings. Moreover, the current approach is easily adaptable to other highly relevant bacteria making it a formidable tool for the future discovery of antigens and potential biomarkers. Consequently, it is

  4. Identification of pancreatic cancer invasion-related proteins by proteomic analysis

    Clynes Martin

    2009-02-01

    Full Text Available Abstract Background Markers of pancreatic cancer invasion were investigated in two clonal populations of the cell line, MiaPaCa-2, Clone #3 (high invasion and Clone #8 (low invasion using proteomic profiling of an in vitro model of pancreatic cancer. Materials and methods Using 2D-DIGE followed by MALDI-TOF MS, two clonal sub-populations of the pancreatic cancer cell line, MiaPaCa-2 with high and low invasive capacities were incubated on matrigel 24 hours prior to analysis to stimulate cell-ECM contact and mimic in vivo interaction with the basement membrane. Results Sixty proteins were identified as being differentially expressed (> 1.2 fold change and p ≤ 0.05 between Clone #3 and Clone #8. Proteins found to have higher abundance levels in the highly invasive Clone #3 compared to the low invasive Clone #8 include members of the chaperone activity proteins and cytoskeleton constituents whereas metabolism-associated and catalytic proteins had lower abundance levels. Differential protein expression levels of ALDH1A1, VIM, STIP1 and KRT18 and GAPDH were confirmed by immunoblot. Using RNAi technology, STIP1 knockdown significantly reduced invasion and proliferation of the highly invasive Clone #3. Knockdown of another target, VIM by siRNA in Clone #3 cells also resulted in decreased invasion abilities of Clone #3. Elevated expression of STIP1 was observed in pancreatic tumour tissue compared to normal pancreas, whereas ALDH1A1 stained at lower levels in pancreatic tumours, as detected by immunohistochemistry. Conclusion Identification of targets which play a role in the highly invasive phenotype of pancreatic cancer may help to understand the biological behaviour, the rapid progression of this cancer and may be of importance in the development of new therapeutic strategies for pancreatic cancer.

  5. Identification of salivary mucin MUC7 binding proteins from Streptococcus gordonii

    Thornton David J

    2009-08-01

    Full Text Available Abstract Background The salivary mucin MUC7 (previously known as MG2 can adhere to various strains of streptococci that are primary colonizers and predominant microorganisms of the oral cavity. Although there is a growing interest in interaction between oral pathogens and salivary mucins, studies reporting the specific binding sites on the bacteria are rather limited. Identification and characterization of the specific interacting proteins on the bacterial cell surface, termed adhesins, are crucial to further understand host-pathogen interactions. Results We demonstrate here, using purified MUC7 to overlay blots of SDS-extracts of Streptococcus gordonii cell surface proteins, 4 MUC7-binding bands, with apparent molecular masses of 62, 78, 84 and 133 kDa from the Streptococcus gordonii strain, PK488. Putative adhesins were identified by in-gel digestion and subsequent nanoLC-tandem mass spectrometry analysis of resultant peptides. The 62 kDa and 84 kDa bands were identified as elongation factor (EF Tu and EF-G respectively. The 78 kDa band was a hppA gene product; the 74 kDa oligopeptide-binding lipoprotein. The 133 kDa band contained two proteins; alpha enolase and DNA-directed RNA polymerase, beta' subunit. Some of these proteins, for example alpha enolase are expected to be intracellular, however, flow cytometric analysis confirmed its location on the bacterial surface. Conclusion Our data demonstrated that S. gordonii expressed a number of putative MUC7 recognizing proteins and these contribute to MUC7 mucin binding of this streptococcal strain.

  6. P185-M Protein Identification and Validation of Results in Workflows that Integrate over Various Instruments, Datasets, Search Engines

    Hufnagel, P.; Glandorf, J.; Körting, G.; Jabs, W.; Schweiger-Hufnagel, U.; Hahner, S.; Lubeck, M.; Suckau, D.

    2007-01-01

    Analysis of complex proteomes often results in long protein lists, but falls short in measuring the validity of identification and quantification results on a greater number of proteins. Biological and technical replicates are mandatory, as is the combination of the MS data from various workflows (gels, 1D-LC, 2D-LC), instruments (TOF/TOF, trap, qTOF or FTMS), and search engines. We describe a database-driven study that combines two workflows, two mass spectrometers, and four search engines with protein identification following a decoy database strategy. The sample was a tryptically digested lysate (10,000 cells) of a human colorectal cancer cell line. Data from two LC-MALDI-TOF/TOF runs and a 2D-LC-ESI-trap run using capillary and nano-LC columns were submitted to the proteomics software platform ProteinScape. The combined MALDI data and the ESI data were searched using Mascot (Matrix Science), Phenyx (GeneBio), ProteinSolver (Bruker and Protagen), and Sequest (Thermo) against a decoy database generated from IPI-human in order to obtain one protein list across all workflows and search engines at a defined maximum false-positive rate of 5%. ProteinScape combined the data to one LC-MALDI and one LC-ESI dataset. The initial separate searches from the two combined datasets generated eight independent peptide lists. These were compiled into an integrated protein list using the ProteinExtractor algorithm. An initial evaluation of the generated data led to the identification of approximately 1200 proteins. Result integration on a peptide level allowed discrimination of protein isoforms that would not have been possible with a mere combination of protein lists.

  7. Optimising methods for the preservation, capture and identification of ubiquitin chains and ubiquitylated proteins by immunoblotting.

    Emmerich, Christoph H; Cohen, Philip

    2015-10-01

    Immunoblotting is a powerful technique for the semi-quantitative analysis of ubiquitylation events, and remains the most commonly used method to study this process due to its high specificity, speed, sensitivity and relatively low cost. However, the ubiquitylation of proteins is complex and, when the analysis is performed in an inappropriate manner, it can lead to the misinterpretation of results and to erroneous conclusions being reached. Here we discuss the advantages and disadvantages of the methods currently in use to analyse ubiquitin chains and protein ubiquitylation, and describe the procedures that we have found to be most useful for optimising the quality and reliability of the data that we have generated. We also highlight commonly encountered problems and the pitfalls inherent in some of these methods. Finally, we introduce a set of recommendations to help researchers obtain high quality data, especially those new to the field of ubiquitin signalling. The specific topics addressed in this article include sample preparation, the separation, detection and identification of particular ubiquitin chains by immunoblotting, and the analysis of ubiquitin chain topology through the combined use of ubiquitin-binding proteins and ubiquitin linkage-specific deubiquitylases. PMID:26325464

  8. Identification of archaeal proteins that affect the exosome function in vitro

    Palhano Fernando L

    2010-05-01

    Full Text Available Abstract Background The archaeal exosome is formed by a hexameric RNase PH ring and three RNA binding subunits and has been shown to bind and degrade RNA in vitro. Despite extensive studies on the eukaryotic exosome and on the proteins interacting with this complex, little information is yet available on the identification and function of archaeal exosome regulatory factors. Results Here, we show that the proteins PaSBDS and PaNip7, which bind preferentially to poly-A and AU-rich RNAs, respectively, affect the Pyrococcus abyssi exosome activity in vitro. PaSBDS inhibits slightly degradation of a poly-rA substrate, while PaNip7 strongly inhibits the degradation of poly-A and poly-AU by the exosome. The exosome inhibition by PaNip7 appears to depend at least partially on its interaction with RNA, since mutants of PaNip7 that no longer bind RNA, inhibit the exosome less strongly. We also show that FITC-labeled PaNip7 associates with the exosome in the absence of substrate RNA. Conclusions Given the high structural homology between the archaeal and eukaryotic proteins, the effect of archaeal Nip7 and SBDS on the exosome provides a model for an evolutionarily conserved exosome control mechanism.

  9. Identification of novel viral receptors with cell line expressing viral receptor-binding protein.

    Mei, Mei; Ye, Jianqiang; Qin, Aijian; Wang, Lin; Hu, Xuming; Qian, Kun; Shao, Hongxia

    2015-01-01

    The viral cell receptors and infection can be blocked by the expression of the viral receptor-binding protein. Thus, the viral cell receptor is an attractive target for anti-viral strategies, and the identification of viral cell receptor is critical for better understanding and controlling viral disease. As a model system for viral entry and anti-retroviral approaches, avian sarcoma/leukosis virus (ASLV, including the A-J ten subgroups) has been studied intensively and many milestone discoveries have been achieved based on work with ASLV. Here, we used a DF1 cell line expressed viral receptor-binding protein to efficiently identify chicken Annexin A2 (chANXA2) as a novel receptor for retrovirus ALV-J (avian leukosis virus subgroup J). Our data demonstrate that antibodies or siRNA to chANXA2 significantly inhibited ALV-J infection and replication, and over-expression of chANXA2 permitted the entry of ALV-J into its non-permissible cells. Our findings have not only identified chANXA2 as a novel biomarker for anti-ALV-J, but also demonstrated that cell lines with the expression of viral receptor-binding protein could be as efficient tools for isolating functional receptors to identify novel anti-viral targets. PMID:25604889

  10. Identification of Novel Milk Protein Gene Variants in Sahiwal Cattle Breed of Pakistan

    Shahlla N. Mir

    2013-02-01

    Full Text Available This novel study was aimed at identification of new genetic variants in Sahiwal cattle breed of Pakistan and determined the effects of these variants on milk yield. Five major milk protein genes in Sahiwal cattle were analyzed and two single nucleotide polymorphisms identified through bi-directional sequencing. These include A to T in exon XI at position 11462 of the alpha s1 casein gene; resulting in a Glutamic Acid (GAA to Aspartic acid (GAU substitution at position 84 of alpha s1 casein protein and T to C change at position 8491 of the exon VII in beta-casein gene resulting in a Valine to Alanine substitution at position 197 of beta casein protein. Amplification Refractory Mutation System (ARMS and SNaPshot genotyping protocols were optimized for genotyping new genetic variants. The genotypes in both the alpha-s1 casein and beta casein genes were found associated with milk yield but their influence was not statistically significant. However, the least square means of milk yield for TT genotypes of alpha s1 casein and of beta casein genes were higher compared to other genotypes.

  11. Combining metal oxide affinity chromatography (MOAC and selective mass spectrometry for robust identification of in vivo protein phosphorylation sites

    Weckwerth Wolfram

    2005-11-01

    Full Text Available Abstract Background Protein phosphorylation is accepted as a major regulatory pathway in plants. More than 1000 protein kinases are predicted in the Arabidopsis proteome, however, only a few studies look systematically for in vivo protein phosphorylation sites. Owing to the low stoichiometry and low abundance of phosphorylated proteins, phosphorylation site identification using mass spectrometry imposes difficulties. Moreover, the often observed poor quality of mass spectra derived from phosphopeptides results frequently in uncertain database hits. Thus, several lines of evidence have to be combined for a precise phosphorylation site identification strategy. Results Here, a strategy is presented that combines enrichment of phosphoproteins using a technique termed metaloxide affinity chromatography (MOAC and selective ion trap mass spectrometry. The complete approach involves (i enrichment of proteins with low phosphorylation stoichiometry out of complex mixtures using MOAC, (ii gel separation and detection of phosphorylation using specific fluorescence staining (confirmation of enrichment, (iii identification of phosphoprotein candidates out of the SDS-PAGE using liquid chromatography coupled to mass spectrometry, and (iv identification of phosphorylation sites of these enriched proteins using automatic detection of H3PO4 neutral loss peaks and data-dependent MS3-fragmentation of the corresponding MS2-fragment. The utility of this approach is demonstrated by the identification of phosphorylation sites in Arabidopsis thaliana seed proteins. Regulatory importance of the identified sites is indicated by conservation of the detected sites in gene families such as ribosomal proteins and sterol dehydrogenases. To demonstrate further the wide applicability of MOAC, phosphoproteins were enriched from Chlamydomonas reinhardtii cell cultures. Conclusion A novel phosphoprotein enrichment procedure MOAC was applied to seed proteins of A. thaliana and to

  12. Identification of T1D susceptibility genes within the MHC region by combining protein interaction networks and SNP genotyping data

    Brorsson, C.; Hansen, Niclas Tue; Hansen, Kasper Lage;

    2009-01-01

    genes. We have developed a novel method that combines single nucleotide polymorphism (SNP) genotyping data with protein-protein interaction (ppi) networks to identify disease-associated network modules enriched for proteins encoded from the MHC region. Approximately 2500 SNPs located in the 4 Mb MHC...... region were analysed in 1000 affected offspring trios generated by the Type 1 Diabetes Genetics Consortium (T1DGC). The most associated SNP in each gene was chosen and genes were mapped to ppi networks for identification of interaction partners. The association testing and resulting interacting protein...

  13. Identification of multiple forms of the noncapsid parvovirus protein NCVP1 in H-1 parvovirus-infected cells.

    Paradiso, P R

    1984-01-01

    Analysis of extracts of H-1 parvovirus-infected cells with virus-specific antiserum led to the identification of two forms of the noncapsid virus protein NCVP1. These two proteins had apparent molecular weights of 84,000 (NCVP1) and 92,000 (NCVP1') and were structurally related, based on their immunological reactivity and on peptide map analysis. Both of these proteins appeared early in the virus infection, about the same time that capsid proteins appeared. NCVP1' was a highly phosphorylated ...

  14. MAGGIE Component 1: Identification and Purification of Native and Recombinant Multiprotein Complexes and Modified Proteins from Pyrococcus furiosus

    Adams, Michael W. [University of Georgia; W. W. Adams, Michael

    2014-01-07

    Virtualy all cellular processes are carried out by dynamic molecular assemblies or multiprotein complexes (PCs), the composition of which is largely unknown. Structural genomics efforts have demonstrated that less than 25% of the genes in a given prokaryotic genome will yield stable, soluble proteins when expressed using a one-ORF-at-a-time approach. We proposed that much of the remaining 75% of the genes encode proteins that are part of multiprotein complexes or are modified post-translationally, for example, with metals. The problem is that PCs and metalloproteins (MPs) cannot be accurately predicted on a genome-wide scale. The only solution to this dilemma is to experimentally determine PCs and MPs in biomass of a model organism and to develop analytical tools that can then be applied to the biomass of any other organism. In other words, organisms themselves must be analyzed to identify their PCs and MPs: “native proteomes” must be determined. This information can then be utilized to design multiple ORF expression systems to produce recombinant forms of PCs and MPs. Moreover, the information and utility of this approach can be enhanced by using a hyperthermophile, one that grows optimally at 100°C, as a model organism. By analyzing the native proteome at close to 100 °C below the optimum growth temperature, we will trap reversible and dynamic complexes, thereby enabling their identification, purification, and subsequent characterization. The model organism for the current study is Pyrococcus furiosus, a hyperthermophilic archaeon that grows optimally at 100°C. It is grown up to 600-liter scale and kg quantities of biomass are available. In this project we identified native PCs and MPs using P. furiosus biomass (with MS/MS analyses to identify proteins by component 4). In addition, we provided samples of abundant native PCs and MPs for structural characterization (using SAXS by component 5). We also designed and evaluated generic bioinformatics and

  15. FindPept, a tool to identify unmatched masses in peptide mass fingerprinting protein identification.

    Gattiker, Alexandre; Bienvenut, Willy V; Bairoch, Amos; Gasteiger, Elisabeth

    2002-10-01

    FindPept (http://www.expasy.org/tools/findpept.html) is a software tool designed to identify the origin of peptide masses obtained by peptide mass fingerprinting which are not matched by existing protein identification tools. It identifies masses resulting from unspecific proteolytic cleavage, missed cleavage, protease autolysis or keratin contaminants. It also takes into account post-translational modifications derived from the annotation of the SWISS-PROT database or supplied by the user, and chemical modifications of peptides. Based on a number of experimental examples, we show that the commonly held rules for the specificity of tryptic cleavage are an oversimplification, mainly because of effects of neighboring residues, experimental conditions, and contaminants present in the enzyme sample. PMID:12422360

  16. Application of combined mass spectrometry and partial amino acid sequence to the identification of gel-separated proteins.

    Patterson, S D; Thomas, D; Bradshaw, R A

    1996-05-01

    The combined use of peptide mass information with amino acid sequence information derived by chemical sequencing or mass spectrometry (MS)-based approaches provides a powerful means of protein identification. We have used a two-part strategy to identify proteins from nerve growth factor (NGF)-stimulated rat adrenal pheochromocytoma cell line PC-12 cell lysates that associate with the adaptor protein Shc (Shc homologous and collagen protein). Initial experiments with metabolically radiolabeled cell extracts separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) revealed a number of proteins that coimmunoprecipitated with anti-Shc antibody compared with control (unstimulated) cell extracts. The experiment was scaled up and cell lysate from NGF-stimulated PC-12 cells was applied to a glutathione-S-transferase (GST)-Shc affinity column, eluted, separated by SDS-PAGE and blotted to Immobilon-CD. The blotted proteins were proteolytically digested in situ, and the masses obtained from the extracted peptides were used in a peptide-mass search program in an attempt to identify the protein. Even if a strong candidate was found using this search, an additional step was performed to confirm the identification. The mixtures were fractionated by reversed-phase high-performance liquid chromatography (RP-HPLC) and subjected to chemical sequencing to obtain (partial) sequence information, or post-source decay (PSD-) matrix-assisted laser-desorption ionization (MALDI)-MS to obtain sequence-specific fragment ions. This data was used in a peptide-sequence tag search to confirm the identity of the proteins. This combined approach allowed identification of four proteins of M(r) 43,000 to 200,000. In one case the identified protein clearly did not correspond to the radiolabeled band, but to a protein contaminant from the column. The advantages and pitfalls of the approach are discussed. PMID:8783013

  17. Complex mixture analysis of peptides using LC/LC-MS/MS and data-dependent protein identification

    The comprehensive identification of proteins within complex solutions by mass-spectrometry largely depends on the sensitivity, resolving power and sampling efficiency of the technology. An integrated orthogonal approach using Strong Cation Exchange-Reverse Phase-MS/MS (SCX-RP-MS/MS) was used to evaluate the data-dependent Collision Induced Dissociation (CID) of yeast peptides. Reverse phase gradient times of 4, 10. 30, 90, and 180 minutes allowed the identification of hundreds of proteins in a nearly automated fashion from nuclear, membrane, and cytosolic distributions. Many proteins from typically difficult to resolve regions of two-dimensional gels, such as >100kDa, > pI 9.0 and Codon Adaptation Index < 0.2, were also identified using this multi-dimensional separation technology. Few low mass proteins (<10kDa) were identified. The impact of scan-range and duty-cycle on CID of peptides will be discussed

  18. A novel mRNA affinity purification technique for the identification of interacting proteins and transcripts in ribonucleoprotein complexes

    Slobodin, Boris; Gerst, Jeffrey E.

    2010-01-01

    Intracellular mRNA targeting and localized translation are potential determinants for protein localization. To facilitate targeting, mRNAs possess specific cis-acting sequence motifs that are recognized by trans-acting RNA-binding proteins (RBPs). While many mRNAs are trafficked, our knowledge of the RBPs involved and presence of additional transcripts within these ribonucleoprotein (RNP) complexes is limited. To facilitate the identification of RBPs and transcripts that bind to specific mRNA...

  19. Improving protein identification from peptide mass fingerprinting through a parameterized multi-level scoring algorithm and an optimized peak detection.

    Gras, R; Müller, M; Gasteiger, E; Gay, S; Binz, P A; Bienvenut, W; Hoogland, C; Sanchez, J C; Bairoch, A; Hochstrasser, D F; Appel, R D

    1999-12-01

    We have developed a new algorithm to identify proteins by means of peptide mass fingerprinting. Starting from the matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) spectra and environmental data such as species, isoelectric point and molecular weight, as well as chemical modifications or number of missed cleavages of a protein, the program performs a fully automated identification of the protein. The first step is a peak detection algorithm, which allows precise and fast determination of peptide masses, even if the peaks are of low intensity or they overlap. In the second step the masses and environmental data are used by the identification algorithm to search in protein sequence databases (SWISS-PROT and/or TrEMBL) for protein entries that match the input data. Consequently, a list of candidate proteins is selected from the database, and a score calculation provides a ranking according to the quality of the match. To define the most discriminating scoring calculation we analyzed the respective role of each parameter in two directions. The first one is based on filtering and exploratory effects, while the second direction focuses on the levels where the parameters intervene in the identification process. Thus, according to our analysis, all input parameters contribute to the score, however with different weights. Since it is difficult to estimate the weights in advance, they have been computed with a generic algorithm, using a training set of 91 protein spectra with their environmental data. We tested the resulting scoring calculation on a test set of ten proteins and compared the identification results with those of other peptide mass fingerprinting programs. PMID:10612280

  20. Identification of protein biochemical functions by similarity search using the molecular surface database eF-site

    Kinoshita, Kengo; Nakamura, Haruki

    2003-01-01

    The identification of protein biochemical functions based on their three-dimensional structures is strongly required in the post-genome-sequencing era. We have developed a new method to identify and predict protein biochemical functions using the similarity information of molecular surface geometries and electrostatic potentials on the surfaces. Our prediction system consists of a similarity search method based on a clique search algorithm and the molecular surface database eF-site (electrost...

  1. Identification of small molecule binding sites within proteins using phage display technology.

    Rodi, D. J.; Agoston, G. E.; Manon, R.; Lapcevich, R.; Green, S. J.; Makowski, L.; Biosciences Division; EntreMed Inc.; Florida State Univ.

    2001-11-01

    Affinity selection of peptides displayed on phage particles was used as the basis for mapping molecular contacts between small molecule ligands and their protein targets. Analysis of the crystal structures of complexes between proteins and small molecule ligands revealed that virtually all ligands of molecular weight 300 Da or greater have a continuous binding epitope of 5 residues or more. This observation led to the development of a technique for binding site identification which involves statistical analysis of an affinity-selected set of peptides obtained by screening of libraries of random, phage-displayed peptides against small molecules attached to solid surfaces. A random sample of the selected peptides is sequenced and used as input for a similarity scanning program which calculates cumulative similarity scores along the length of the putative receptor. Regions of the protein sequence exhibiting the highest similarity with the selected peptides proved to have a high probability of being involved in ligand binding. This technique has been employed successfully to map the contact residues in multiple known targets of the anticancer drugs paclitaxel (Taxol), docetaxel (Taxotere) and 2-methoxyestradiol and the glycosaminoglycan hyaluronan, and to identify a novel paclitaxel receptor [1]. These data corroborate the observation that the binding properties of peptides displayed on the surface of phage particles can mimic the binding properties of peptides in naturally occurring proteins. It follows directly that structural context is relatively unimportant for determining the binding properties of these disordered peptides. This technique represents a novel, rapid, high resolution method for identifying potential ligand binding sites in the absence of three-dimensional information and has the potential to greatly enhance the speed of development of novel small molecule pharmaceuticals.

  2. The identification of protein biomarkers distinguishing virus transmission competent and refractive insect populations by coupling genetics with quantitative intact proteomics

    Control of insects that vector pathogens is a massive challenge to human health and agriculture. Yellow dwarf viruses (YDV) cause economically significant disease in cereal crops (barley, wheat, rye, maize) worldwide and are vectored by aphids. The identification of vector proteins mediating virus ...

  3. The identification of protein biomarkers distinguishing virus transmission competent and refractive insect populations by coupling genetics with quantitative intact proteomics

    Yellow dwarf viruses cause the most economically important virus diseases of cereal crops worldwide and are vectored by aphids. The identification of vector proteins mediating virus transmission is critical to develop agriculturally-sustainable virus management practices and to understand viral str...

  4. Identification of bone morphogenetic protein 9 (BMP9) as a novel profibrotic factor in vitro.

    Muñoz-Félix, José M; Cuesta, Cristina; Perretta-Tejedor, Nuria; Subileau, Mariela; López-Hernández, Francisco J; López-Novoa, José M; Martínez-Salgado, Carlos

    2016-09-01

    Upregulated synthesis of extracellular matrix (ECM) proteins by myofibroblasts is a common phenomenon in the development of fibrosis. Although the role of TGF-β in fibrosis development has been extensively studied, the involvement of other members of this superfamily of cytokines, the bone morphogenetic proteins (BMPs) in organ fibrosis has given contradictory results. BMP9 is the main ligand for activin receptor-like kinase-1 (ALK1) TGF-β1 type I receptor and its effect on fibrosis development is unknown. Our purpose was to study the effect of BMP9 in ECM protein synthesis in fibroblasts, as well as the involved receptors and signaling pathways. In cultured mice fibroblasts, BMP9 induces an increase in collagen, fibronectin and connective tissue growth factor expression, associated with Smad1/5/8, Smad2/3 and Erk1/2 activation. ALK5 inhibition with SB431542 or ALK1/2/3/6 with dorsomorphin-1, inhibition of Smad3 activation with SIS3, and inhibition of the MAPK/Erk1/2 with U0126, demonstrates the involvement of these pathways in BMP9-induced ECM synthesis in MEFs. Whereas BMP9 induced Smad1/5/8 phosphorylation through ALK1, it also induces Smad2/3 phosphorylation through ALK5 but only in the presence of ALK1. Summarizing, this is the first study that accurately identifies BMP9 as a profibrotic factor in fibroblasts that promotes ECM protein expression through ALK1 and ALK5 receptors. PMID:27208502

  5. PDNAsite: Identification of DNA-binding Site from Protein Sequence by Incorporating Spatial and Sequence Context.

    Zhou, Jiyun; Xu, Ruifeng; He, Yulan; Lu, Qin; Wang, Hongpeng; Kong, Bing

    2016-01-01

    Protein-DNA interactions are involved in many fundamental biological processes essential for cellular function. Most of the existing computational approaches employed only the sequence context of the target residue for its prediction. In the present study, for each target residue, we applied both the spatial context and the sequence context to construct the feature space. Subsequently, Latent Semantic Analysis (LSA) was applied to remove the redundancies in the feature space. Finally, a predictor (PDNAsite) was developed through the integration of the support vector machines (SVM) classifier and ensemble learning. Results on the PDNA-62 and the PDNA-224 datasets demonstrate that features extracted from spatial context provide more information than those from sequence context and the combination of them gives more performance gain. An analysis of the number of binding sites in the spatial context of the target site indicates that the interactions between binding sites next to each other are important for protein-DNA recognition and their binding ability. The comparison between our proposed PDNAsite method and the existing methods indicate that PDNAsite outperforms most of the existing methods and is a useful tool for DNA-binding site identification. A web-server of our predictor (http://hlt.hitsz.edu.cn:8080/PDNAsite/) is made available for free public accessible to the biological research community. PMID:27282833

  6. Identification of Secretory Proteins in Mycobacterium tuberculosis Using Pseudo Amino Acid Composition.

    Yang, Huan; Tang, Hua; Chen, Xin-Xin; Zhang, Chang-Jian; Zhu, Pan-Pan; Ding, Hui; Chen, Wei; Lin, Hao

    2016-01-01

    Tuberculosis is killing millions of lives every year and on the blacklist of the most appalling public health problems. Recent findings suggest that secretory protein of Mycobacterium tuberculosis may serve the purpose of developing specific vaccines and drugs due to their antigenicity. Responding to global infectious disease, we focused on the identification of secretory proteins in Mycobacterium tuberculosis. A novel method called MycoSec was designed by incorporating g-gap dipeptide compositions into pseudo amino acid composition. Analysis of variance-based technique was applied in the process of feature selection and a total of 374 optimal features were obtained and used for constructing the final predicting model. In the jackknife test, MycoSec yielded a good performance with the area under the receiver operating characteristic curve of 0.93, demonstrating that the proposed system is powerful and robust. For user's convenience, the web server MycoSec was established and an obliging manual on how to use it was provided for getting around any trouble unnecessary. PMID:27597968

  7. MoRFchibi SYSTEM: software tools for the identification of MoRFs in protein sequences.

    Malhis, Nawar; Jacobson, Matthew; Gsponer, Jörg

    2016-07-01

    Molecular recognition features, MoRFs, are short segments within longer disordered protein regions that bind to globular protein domains in a process known as disorder-to-order transition. MoRFs have been found to play a significant role in signaling and regulatory processes in cells. High-confidence computational identification of MoRFs remains an important challenge. In this work, we introduce MoRFchibi SYSTEM that contains three MoRF predictors: MoRFCHiBi, a basic predictor best suited as a component in other applications, MoRFCHiBi_ Light, ideal for high-throughput predictions and MoRFCHiBi_ Web, slower than the other two but best for high accuracy predictions. Results show that MoRFchibi SYSTEM provides more than double the precision of other predictors. MoRFchibi SYSTEM is available in three different forms: as HTML web server, RESTful web server and downloadable software at: http://www.chibi.ubc.ca/faculty/joerg-gsponer/gsponer-lab/software/morf_chibi/. PMID:27174932

  8. Identification of the functional domains of the telomere protein Rap1 in Schizosaccharomyces pombe.

    Ikumi Fujita

    Full Text Available The telomere at the end of a linear chromosome plays crucial roles in genome stability. In the fission yeast Schizosaccharomyces pombe, the Rap1 protein, one of the central players at the telomeres, associates with multiple proteins to regulate various telomere functions, such as the maintenance of telomere DNA length, telomere end protection, maintenance of telomere heterochromatin, and telomere clustering in meiosis. The molecular bases of the interactions between Rap1 and its partners, however, remain largely unknown. Here, we describe the identification of the interaction domains of Rap1 with its partners. The Bqt1/Bqt2 complex, which is required for normal meiotic progression, Poz1, which is required for telomere length control, and Taz1, which is required for the recruitment of Rap1 to telomeres, bind to distinct domains in the C-terminal half of Rap1. Intriguingly, analyses of a series of deletion mutants for rap1(+ have revealed that the long N-terminal region (1-456 a.a. [amino acids] of Rap1 (full length: 693 a.a. is not required for telomere DNA length control, telomere end protection, and telomere gene silencing, whereas the C-terminal region (457-693 a.a. containing Poz1- and Taz1-binding domains plays important roles in those functions. Furthermore, the Bqt1/Bqt2- and Taz1-binding domains are essential for normal spore formation after meiosis. Our results suggest that the C-terminal half of Rap1 is critical for the primary telomere functions, whereas the N-terminal region containing the BRCT (BRCA1 C-terminus and Myb domains, which are evolutionally conserved among the Rap1 family proteins, does not play a major role at the telomeres.

  9. Single-step protease cleavage elution for identification of protein-protein interactions from GST pull-down and mass spectrometry.

    Luo, Lin; King, Nathan P; Yeo, Jeremy C; Jones, Alun; Stow, Jennifer L

    2014-01-01

    The study of protein-protein interactions is a major theme in biological disciplines. Pull-down or affinity-precipitation assays using GST fusion proteins have become one of the most common and valuable approaches to identify novel binding partners for proteins of interest (bait). Non-specific binding of prey proteins to the beads or to GST itself, however, inevitably complicates and impedes subsequent analysis of pull-down results. A variety of measures, each with inherent advantages and limitations, can minimise the extent of the background. This technical brief details and tests a modification of established GST pull-down protocols. By specifically eluting only the bait (minus the GST tag) and the associated non-specific binding proteins with a simple, single-step protease cleavage, a cleaner platform for downstream protein identification with MS is established. We present a proof of concept for this method, as evidenced by a GST pull-down/MS case study of the small guanosine triphosphatase (GTPase) Rab31 in which: (i) sensitivity was enhanced, (ii) a reduced level of background was observed, (iii) distinguishability of non-specific contaminant proteins from genuine binders was improved and (iv) a putative new protein-protein interaction was discovered. Our protease cleavage step is readily applicable to all further affinity tag pull-downs. PMID:24259493

  10. Identification of Proteins and Phosphoproteins Using Pulsed Q Collision Induced Dissociation (PQD)

    Wu, Wells W.; Wang, Guanghui; Insel, Paul A.; Hsiao, Cheng-Te; Zou, Sige; Maudsley, Stuart; Martin, Bronwen; Shen, Rong-Fong

    2011-10-01

    Pulsed Q collision induced dissociation (PQD) was developed to facilitate detection of low-mass reporter ions from labeling reagents (e.g., iTRΑQ) in peptide quantification using an LTQ mass spectrometer (MS). Despite the large number of linear ion traps worldwide, the use and optimization of PQD for protein identification have been limited, in part due to less effective ion fragmentation relative to the collision induced dissociation (CID). PQD expands the m/z coverage of fragment ions to the lower m/z range by circumventing the typical low mass cut-off of an ion trap MS. Since database searching relies on the matching between theoretical and observed spectra, it is not clear how ion intensity and peak number might affect the outcomes of a database search. In this report, we systematically evaluated the attributes of PQD mass spectra, performed intensity optimization, and assessed the benefits of using PQD on the identification of peptides and phosphopeptides from an LTQ. Based on head-to-head comparisons between CID (higher intensity) and PQD (better m/z coverage), peptides identified using PQD generally have Xcorr scores lower than those using CID. Such score differences were considerably diminished by the use of 0.1% m-nitrobenzyl alcohol (m-NBA) in mobile phases. The ion intensities of both CID and PQD were adversely affected by increasing m/z of the precursor, with PQD more sensitive than CID. In addition to negating the 1/3 rule, PQD enhances direct bond cleavage and generates patterns of fragment ions different from those of CID, particularly for peptides with a labile functional group (e.g., phosphopeptides). The higher energy fragmentation pathway of PQD on peptide fragmentation was further compared to those of CID and the quadrupole-type activation in parallel experiments.

  11. Identification of a novel protein-protein interaction motif mediating interaction of GPCR-associated sorting proteins with G protein-coupled receptors

    Bornert, Olivier; Møller, Thor Christian; Boeuf, Julien;

    2013-01-01

    degradation pathway. This protein belongs to the recently identified GPCR-associated sorting proteins (GASPs) family that comprises ten members for which structural and functional details are poorly documented. We present here a detailed structure-function relationship analysis of the molecular interaction...... GPCRs and highlight the presence within GASPs of a novel protein-protein interaction motif that might represent a new target to investigate the involvement of GASPs in the modulation of the activity of GPCRs.......GPCR desensitization and down-regulation are considered key molecular events underlying the development of tolerance in vivo. Among the many regulatory proteins that are involved in these complex processes, GASP-1 have been shown to participate to the sorting of several receptors toward the...

  12. Large-scale identification of target proteins of a glycosyltransferase isozyme by Lectin-IGOT-LC/MS, an LC/MS-based glycoproteomic approach

    Daisuke Sugahara; Hiroyuki Kaji; Kazushi Sugihara; Masahide Asano; Hisashi Narimatsu

    2012-01-01

    Model organisms containing deletion or mutation in a glycosyltransferase-gene exhibit various physiological abnormalities, suggesting that specific glycan motifs on certain proteins play important roles in vivo. Identification of the target proteins of glycosyltransferase isozymes is the key to understand the roles of glycans. Here, we demonstrated the proteome-scale identification of the target proteins specific for a glycosyltransferase isozyme, β1,4-galactosyltransferase-I (β4GalT-I). Alth...

  13. Broad Coverage Identification of Multiple Proteolytic Cleavage Site Sequences in Complex High Molecular Weight Proteins Using Quantitative Proteomics as a Complement to Edman Sequencing*

    Doucet, Alain; Christopher M Overall

    2010-01-01

    Proteolytic processing modifies the pleiotropic functions of many large, complex, and modular proteins and can generate cleavage products with new biological activity. The identification of exact proteolytic cleavage sites in the extracellular matrix laminins, fibronectin, and other extracellular matrix proteins is not only important for understanding protein turnover but is needed for the identification of new bioactive cleavage products. Several such products have recently been recognized t...

  14. SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes

    Eukaryotic protein secretion generally occurs via the classical secretory pathway that traverses the ER and Golgi apparatus. Secreted proteins usually contain a signal sequence with all the essential information required to target them for secretion. However, some proteins like fibroblast growth factors (FGF-1, FGF-2), interleukins (IL-1 alpha, IL-1 beta), galectins and thioredoxin are exported by an alternative pathway. This is known as leaderless or non-classical secretion and works without a signal sequence. Most computational methods for the identification of secretory proteins use the signal peptide as indicator and are therefore not able to identify substrates of non-classical secretion. In this work, we report a random forest method, SPRED, to identify secretory proteins from protein sequences irrespective of N-terminal signal peptides, thus allowing also correct classification of non-classical secretory proteins. Training was performed on a dataset containing 600 extracellular proteins and 600 cytoplasmic and/or nuclear proteins. The algorithm was tested on 180 extracellular proteins and 1380 cytoplasmic and/or nuclear proteins. We obtained 85.92% accuracy from training and 82.18% accuracy from testing. Since SPRED does not use N-terminal signals, it can detect non-classical secreted proteins by filtering those secreted proteins with an N-terminal signal by using SignalP. SPRED predicted 15 out of 19 experimentally verified non-classical secretory proteins. By scanning the entire human proteome we identified 566 protein sequences potentially undergoing non-classical secretion. The dataset and standalone version of the SPRED software is available at (http://www.inb.uni-luebeck.de/tools-demos/spred/spred).

  15. Identification of a Novel Transcript and Regulatory Mechanism for Microsomal Triglyceride Transfer Protein.

    Takashi Suzuki

    Full Text Available Microsomal triglyceride transfer protein (MTP is essential for the assembly of triglyceride-rich apolipoprotein B-containing lipoproteins. Previous studies in our laboratory identified a novel splice variant of MTP in mice that we named MTP-B. MTP-B has a unique first exon (1B located 2.7 kB upstream of the first exon (1A for canonical MTP (MTP-A. The two mature isoforms, though nearly identical in sequence and function, have different tissue expression patterns. In this study we report the identification of a second MTP splice variant (MTP-C, which contains both exons 1B and 1A. MTP-C is expressed in all the tissues we tested. In cells transfected with MTP-C, protein expression was less than 15% of that found when the cells were transfected with MTP-A or MTP-B. In silico analysis of the 5'-UTR of MTP-C revealed seven ATGs upstream of the start site for MTP-A, which is the only viable start site in frame with the main coding sequence. One of those ATGs was located in the 5'-UTR for MTP-A. We generated reporter constructs in which the 5'-UTRs of MTP-A or MTP-C were inserted between an SV40 promoter and the coding sequence of the luciferase gene and transfected these constructs into HEK 293 cells. Luciferase activity was significantly reduced by the MTP-C 5'-UTR, but not by the MTP-A 5'-UTR. We conclude that alternative splicing plays a key role in regulating MTP expression by introducing unique 5'-UTRs, which contain elements that alter translation efficiency, enabling the cell to optimize MTP levels and activity.

  16. Identification and Application of Neutralizing Epitopes of Human Adenovirus Type 55 Hexon Protein

    Xingui Tian

    2015-10-01

    Full Text Available Human adenovirus type 55 (HAdV55 is a newly identified re-emergent acute respiratory disease (ARD pathogen with a proposed recombination of hexon gene between HAdV11 and HAdV14 strains. The identification of the neutralizing epitopes is important for the surveillance and vaccine development against HAdV55 infection. In this study, four type-specific epitope peptides of HAdV55 hexon protein, A55R1 (residues 138 to 152, A55R2 (residues 179 to 187, A55R4 (residues 247 to 259 and A55R7 (residues 429 to 443, were predicted by multiple sequence alignment and homology modeling methods, and then confirmed with synthetic peptides by enzyme-linked immunosorbent assay (ELISA and neutralization tests (NT. Finally, the A55R2 was incorporated into human adenoviruses 3 (HAdV3 and a chimeric adenovirus rAd3A55R2 was successfully obtained. The chimeric rAd3A55R2 could induce neutralizing antibodies against both HAdV3 and HAdV55. This current study will contribute to the development of novel adenovirus vaccine candidate and adenovirus structural analysis.

  17. Protein-energy malnutrition in the rehabilitation setting: Evidence to improve identification.

    Marshall, Skye

    2016-04-01

    Methods of identifying malnutrition in the rehabilitation setting require further examination so that patient outcomes may be improved. The purpose of this narrative review was to: (1) examine the defining characteristics of malnutrition, starvation, sarcopenia and cachexia; (2) review the validity of nutrition screening tools and nutrition assessment tools in the rehabilitation setting; and (3) determine the prevalence of malnutrition in the rehabilitation setting by geographical region and method of diagnosis. A narrative review was conducted drawing upon international literature. Starvation represents one form of malnutrition. Inadequate energy and protein intake are the critical factor in the aetiology of malnutrition, which is distinct from sarcopenia and cachexia. Eight nutrition screening tools and two nutrition assessment tools have been evaluated for criterion validity in the rehabilitation setting, and consideration must be given to the resources of the facility and the patient group in order to select the appropriate tool. The prevalence of malnutrition in the rehabilitation setting ranges from 14-65% worldwide with the highest prevalence reported in rural, European and Australian settings. Malnutrition is highly prevalent in the rehabilitation setting, and consideration must be given to the patient group when determining the most appropriate method of identification so that resources may be used efficaciously and the chance of misdiagnosis minimised. PMID:26921933

  18. Quantitative Assessment of Protein Structural Models by Comparison of H/D Exchange MS Data with Exchange Behavior Accurately Predicted by DXCOREX

    Liu, Tong; Pantazatos, Dennis; Li, Sheng; Hamuro, Yoshitomo; Hilser, Vincent J.; Woods, Virgil L.

    2012-01-01

    Peptide amide hydrogen/deuterium exchange mass spectrometry (DXMS) data are often used to qualitatively support models for protein structure. We have developed and validated a method (DXCOREX) by which exchange data can be used to quantitatively assess the accuracy of three-dimensional (3-D) models of protein structure. The method utilizes the COREX algorithm to predict a protein's amide hydrogen exchange rates by reference to a hypothesized structure, and these values are used to generate a virtual data set (deuteron incorporation per peptide) that can be quantitatively compared with the deuteration level of the peptide probes measured by hydrogen exchange experimentation. The accuracy of DXCOREX was established in studies performed with 13 proteins for which both high-resolution structures and experimental data were available. The DXCOREX-calculated and experimental data for each protein was highly correlated. We then employed correlation analysis of DXCOREX-calculated versus DXMS experimental data to assess the accuracy of a recently proposed structural model for the catalytic domain of a Ca2+-independent phospholipase A2. The model's calculated exchange behavior was highly correlated with the experimental exchange results available for the protein, supporting the accuracy of the proposed model. This method of analysis will substantially increase the precision with which experimental hydrogen exchange data can help decipher challenging questions regarding protein structure and dynamics.

  19. Binomial probability distribution model-based protein identification algorithm for tandem mass spectrometry utilizing peak intensity information.

    Xiao, Chuan-Le; Chen, Xiao-Zhou; Du, Yang-Li; Sun, Xuesong; Zhang, Gong; He, Qing-Yu

    2013-01-01

    Mass spectrometry has become one of the most important technologies in proteomic analysis. Tandem mass spectrometry (LC-MS/MS) is a major tool for the analysis of peptide mixtures from protein samples. The key step of MS data processing is the identification of peptides from experimental spectra by searching public sequence databases. Although a number of algorithms to identify peptides from MS/MS data have been already proposed, e.g. Sequest, OMSSA, X!Tandem, Mascot, etc., they are mainly based on statistical models considering only peak-matches between experimental and theoretical spectra, but not peak intensity information. Moreover, different algorithms gave different results from the same MS data, implying their probable incompleteness and questionable reproducibility. We developed a novel peptide identification algorithm, ProVerB, based on a binomial probability distribution model of protein tandem mass spectrometry combined with a new scoring function, making full use of peak intensity information and, thus, enhancing the ability of identification. Compared with Mascot, Sequest, and SQID, ProVerB identified significantly more peptides from LC-MS/MS data sets than the current algorithms at 1% False Discovery Rate (FDR) and provided more confident peptide identifications. ProVerB is also compatible with various platforms and experimental data sets, showing its robustness and versatility. The open-source program ProVerB is available at http://bioinformatics.jnu.edu.cn/software/proverb/ . PMID:23163785

  20. Identification and mapping of DNA binding proteins target sequences in long genomic regions by two-dimensional EMSA.

    Chernov, Igor P; Akopov, Sergey B; Nikolaev, Lev G; Sverdlov, Eugene D

    2006-07-01

    Specific binding of nuclear proteins, in particular transcription factors, to target DNA sequences is a major mechanism of genome functioning and gene expression regulation in eukaryotes. Therefore, identification and mapping specific protein target sites (PTS) is necessary for understanding genomic regulation. Here we used a novel two-dimensional electrophoretic mobility shift assay (2D-EMSA) procedure for identification and mapping of 52 PTS within a 563-kb human genome region located between the FXYD5 and TZFP genes. The PTS occurred with approximately equal frequency within unique and repetitive genomic regions. PTS belonging to unique sequences tended to group together within gene introns and close to their 5' and 3' ends, whereas PTS located within repeats were evenly distributed between transcribed and intragenic regions. PMID:16869519

  1. Channel catfish (Ictalurus punctatus Rafinesque, 1818) tetraspanin membrane protein family: Identification, characterization, and expression analysis of CD63 cDNA

    CD63, known as lysosome associated membrane protein 3 (LAMP-3), is a member of the tetraspanin integral membrane protein family. This protein plays many important roles in immuno-physiological functions. In this communication, we report the identification, characterization, and expression analysis...

  2. Identification of the Major ACE-Inhibitory Peptides Produced by Enzymatic Hydrolysis of a Protein Concentrate from Cuttlefish Wastewater

    Isabel Rodríguez Amado; José Antonio Vázquez; Pilar González; Diego Esteban-Fernández; Mónica Carrera; Carmen Piñeiro

    2014-01-01

    The aim of this work was the purification and identification of the major angiotensin converting enzyme (ACE) inhibitory peptides produced by enzymatic hydrolysis of a protein concentrate recovered from a cuttlefish industrial manufacturing effluent. This process consisted on the ultrafiltration of cuttlefish softening wastewater, with a 10 kDa cut-off membrane, followed by the hydrolysis with alcalase of the retained fraction. Alcalase produced ACE inhibitors reaching the highest activity (I...

  3. Target Identification by Chromatographic Co-elution: Monitoring of Drug-Protein Interactions without Immobilization or Chemical Derivatization*

    Chan, Janet N. Y.; Vuckovic, Dajana; Sleno, Lekha; Olsen, Jonathan B.; Pogoutse, Oxana; Havugimana, Pierre; Hewel, Johannes A.; Bajaj, Navgeet; Wang, Yale; Musteata, Marcel F.; Nislow, Corey; Emili, Andrew

    2012-01-01

    Bioactive molecules typically mediate their biological effects through direct physical association with one or more cellular proteins. The detection of drug-target interactions is therefore essential for the characterization of compound mechanism of action and off-target effects, but generic label-free approaches for detecting binding events in biological mixtures have remained elusive. Here, we report a method termed target identification by chromatographic co-elution (TICC) for routinely mo...

  4. Identification of a third protein 4.1 tumor suppressor, protein 4.1R, in meningioma pathogenesis

    Robb, Victoria A.; Li, Wen; Gascard, Philippe; Perry, Arie; Mohandas, Narla; Gutmann, David H.

    2003-06-11

    Meningiomas are common tumors of the central nervous system, however, the mechanisms under lying their pathogenesis are largely undefined. Two members of the Protein 4.1 super family, the neuro fibromatosis 2 (NF2) gene product (merlin/schwannomin) and Protein 4.1B have been implicated as meningioma tumor suppressors. In this report, we demonstrate that another Protein 4.1 family member, Protein 4.1R, also functions as a meningioma tumor suppressor. Based on the assignment of the Protein 4.1R gene to chromosome 1p32-36, a common region of deletion observed in meningiomas, we analyzed Protein 4.1R expression in meningioma cell lines and surgical tumor specimens. We observed loss of Protein 4.1R protein expression in two meningioma cell lines (IOMM-Lee, CH157-MN) by Western blotting as well as in 6 of 15 sporadic meningioma as by immuno histo chemistry (IHC). Analysis of a subset of these sporadic meningiomas by fluorescent in situ hybridization (FISH) with a Protein 4.1R specific probe demonstrated 100 percent concordance with the IHC results. In support of a meningioma tumor suppressor function, over expression of Protein 4.1R resulted in suppression of IOMM-Lee and CH157MN cell proliferation. Similar to the Protein 4.1B and merlin meningioma tumor suppressors, Protein 4.1R localization in the membrane fraction increased significantly under conditions of growth arrest in vitro. Lastly, Protein 4.1R interacted with some known merlin/Protein 4.1B interactors such as CD44 and bII-spectrin, but did not associate with the Protein 4.1B interactors 14-3-3 and PRMT3 or the merlin binding proteins SCHIP-1 and HRS. Collectively, these results suggest that Protein 4.1R functions as an important tumor suppressor important in the molecular pathogenesis of meningioma.

  5. Genes optimized by evolution for accurate and fast translation encode in Archaea and Bacteria a broad and characteristic spectrum of protein functions

    Merkl Rainer

    2010-11-01

    Full Text Available Abstract Background In many microbial genomes, a strong preference for a small number of codons can be observed in genes whose products are needed by the cell in large quantities. This codon usage bias (CUB improves translational accuracy and speed and is one of several factors optimizing cell growth. Whereas CUB and the overrepresentation of individual proteins have been studied in detail, it is still unclear which high-level metabolic categories are subject to translational optimization in different habitats. Results In a systematic study of 388 microbial species, we have identified for each genome a specific subset of genes characterized by a marked CUB, which we named the effectome. As expected, gene products related to protein synthesis are abundant in both archaeal and bacterial effectomes. In addition, enzymes contributing to energy production and gene products involved in protein folding and stabilization are overrepresented. The comparison of genomes from eleven habitats shows that the environment has only a minor effect on the composition of the effectomes. As a paradigmatic example, we detailed the effectome content of 37 bacterial genomes that are most likely exposed to strongest selective pressure towards translational optimization. These effectomes accommodate a broad range of protein functions like enzymes related to glycolysis/gluconeogenesis and the TCA cycle, ATP synthases, aminoacyl-tRNA synthetases, chaperones, proteases that degrade misfolded proteins, protectants against oxidative damage, as well as cold shock and outer membrane proteins. Conclusions We made clear that effectomes consist of specific subsets of the proteome being involved in several cellular functions. As expected, some functions are related to cell growth and affect speed and quality of protein synthesis. Additionally, the effectomes contain enzymes of central metabolic pathways and cellular functions sustaining microbial life under stress situations. These

  6. Isolation of Two Strong Poly (U) Binding Proteins from Moderate Halophile Halomonas eurihalina and Their Identification as Cold Shock Proteins

    Usha Kumari Garapati; Tangirala Suryanarayana

    2012-01-01

    Cold shock proteins (Csp) are known to be expressed in response to sudden decrease in temperature. They are thought to be involved in a number of cellular processes viz., RNA chaperone activity, translation, transcription, nucleoid condensation. During our studies on ribosomal protein S1 in moderate halophile Halomonas eurihalina, we observed the presence of two strong poly (U) binding proteins in abundance in cell extracts from cells grown under normal growth conditions. The proteins can be ...

  7. Identification and analysis of the acetylated status of poplar proteins reveals analogous N-terminal protein processing mechanisms with other eukaryotes.

    Chang-Cai Liu

    Full Text Available BACKGROUND: The N-terminal protein processing mechanism (NPM including N-terminal Met excision (NME and N-terminal acetylation (N(α-acetylation represents a common protein co-translational process of some eukaryotes. However, this NPM occurred in woody plants yet remains unknown. METHODOLOGY/PRINCIPAL FINDINGS: To reveal the NPM in poplar, we investigated the N(α-acetylation status of poplar proteins during dormancy by combining tandem mass spectrometry with TiO2 enrichment of acetylated peptides. We identified 58 N-terminally acetylated (N(α-acetylated proteins. Most proteins (47, >81% are subjected to N(α-acetylation following the N-terminal removal of Met, indicating that N(α-acetylation and NME represent a common NPM of poplar proteins. Furthermore, we confirm that poplar shares the analogous NME and N(α-acetylation (NPM to other eukaryotes according to analysis of N-terminal features of these acetylated proteins combined with genome-wide identification of the involving methionine aminopeptidases (MAPs and N-terminal acetyltransferase (Nat enzymes in poplar. The N(α-acetylated reactions and the involving enzymes of these poplar proteins are also identified based on those of yeast and human, as well as the subcellular location information of these poplar proteins. CONCLUSIONS/SIGNIFICANCE: This study represents the first extensive investigation of N(α-acetylation events in woody plants, the results of which will provide useful resources for future unraveling the regulatory mechanisms of N(α-acetylation of proteins in poplar.

  8. Identification and characterization of two sensory neuron membrane proteins from Cnaphalocrocis medinalis (Lepidoptera: Pyralidae).

    Liu, Su; Zhang, Yan-Ru; Zhou, Wen-Wu; Liang, Qing-Mei; Yuan, Xin; Cheng, Jiaan; Zhu, Zeng-Rong; Gong, Zhong-Jun

    2013-01-01

    Sensory neuron membrane proteins (SNMPs), which are located on the dendritic membrane of olfactory neurons, were considered as important components involved in pheromone reception in insects. In Drosophila melanogaster, mutants without SNMP are unable to evoke neuronal activities in the presence of pheromone cis-vaccenyl acetate (cVA). So deeply understanding the SNMPs functions may help to develop pheromone-mediated insect pest management tactics. The present study reports the identification and characterization of CmedSNMP1 and CmedSNMP2, two candidate SNMPs in the rice leaffolder, Cnaphalocrocis medinalis, one of the serious rice insect pests in Asia. The comparison of amino acid sequences shows that CmedSNMP1 and CmedSNMP2 are very similar to the previously reported SNMPs isolated from moths such as Ostrinia nubilalis and O. furnacalis, respectively, but the two CmedSNMPs share low identity with each other. The distribution patterns of two CmedSNMPs in different tissues of adult moths were examined using RT-PCR and quantitative real-time PCR. Although the two genes are expressed not only in antennae but also in nonolfactory tissues such as wings, legs, and body; the relative transcription level shows both CmedSNMP1 and CmedSNMP2 are highly enriched in antennae. The dN/dS ratios of the two CmedSNMPs indicate that the two genes are all subject to purifying selection and evolved to be functional genes. This work presents for the first time a study on the SNMPs of C. medinalis, which may help in providing guidance to future functional research of moth SNMPs. PMID:23027616

  9. Identification of oxidized protein hydrolase as a potential prodrug target in prostate cancer

    Esterases are often overexpressed in cancer cells and can have chiral specificities different from that of the corresponding normal tissues. For this reason, ester prodrugs could be a promising approach in chemotherapy. In this study, we focused on the identification and characterization of differentially expressed esterases between non-tumorigenic and tumorigenic prostate epithelial cells. Cellular lysates from LNCaP, DU 145, and PC3 prostate cancer cell lines, tumorigenic RWPE-2 prostate epithelial cells, and non-tumorigenic RWPE-1 prostate epithelial cells were separated by native polyacrylamide gel electrophoresis (n-PAGE) and the esterase activity bands visualized using α-naphthyl acetate or α-naphthyl-N-acetylalaninate (ANAA) chiral esters and Fast Blue RR salt. The esterases were identified using nanospray LC/MS-MS tandem mass spectrometry and confirmed by Western blotting, native electroblotting, inhibition assays, and activity towards a known specific substrate. The serine protease/esterase oxidized protein hydrolase (OPH) was overexpressed in COS-7 cells to verify our results. The major esterase observed with the ANAA substrates within the n-PAGE activity bands was identified as OPH. OPH (EC 3.4.19.1) is a serine protease/esterase and a member of the prolyl oligopeptidase family. We found that LNCaP lysates contained approximately 40% more OPH compared to RWPE-1 lysates. RWPE-2, DU145 and PC3 cell lysates had similar levels of OPH activity. OPH within all of the cell lysates tested had a chiral preference for the S-isomer of ANAA. LNCaP cells were stained more intensely with ANAA substrates than RWPE-1 cells and COS-7 cells overexpressing OPH were found to have a higher activity towards the ANAA and AcApNA than parent COS-7 cells. These data suggest that prodrug derivatives of ANAA and AcApNA could have potential as chemotherapeutic agents for the treatment of prostate cancer tumors that overexpress OPH

  10. Identification of a fibrinogen-related protein (FBN9 gene in neotropical anopheline mosquitoes

    Brito Cristiana FA

    2011-02-01

    Full Text Available Abstract Background Malaria has a devastating impact on worldwide public health in many tropical areas. Studies on vector immunity are important for the overall understanding of the parasite-vector interaction and for the design of novel strategies to control malaria. A member of the fibrinogen-related protein family, fbn9, has been well studied in Anopheles gambiae and has been shown to be an important component of the mosquito immune system. However, little is known about this gene in neotropical anopheline species. Methods This article describes the identification and characterization of the fbn9 gene partial sequences from four species of neotropical anopheline primary and secondary vectors: Anopheles darlingi, Anopheles nuneztovari, Anopheles aquasalis, and Anopheles albitarsis (namely Anopheles marajoara. Degenerate primers were designed based on comparative analysis of publicly available Aedes aegypti and An. gambiae gene sequences and used to clone putative homologs in the neotropical species. Sequence comparisons and Bayesian phylogenetic analyses were then performed to better understand the molecular diversity of this gene in evolutionary distant anopheline species, belonging to different subgenera. Results Comparisons of the fbn9 gene sequences of the neotropical anophelines and their homologs in the An. gambiae complex (Gambiae complex showed high conservation at the nucleotide and amino acid levels, although some sites show significant differentiation (non-synonymous substitutions. Furthermore, phylogenetic analysis of fbn9 nucleotide sequences showed that neotropical anophelines and African mosquitoes form two well-supported clades, mirroring their separation into two different subgenera. Conclusions The present work adds new insights into the conserved role of fbn9 in insect immunity in a broader range of anopheline species and reinforces the possibility of manipulating mosquito immunity to design novel pathogen control strategies.

  11. Identification of Foodborne Bacteria by High Energy Collision-Induced Dissociation of Their Protein Biomarkers by MALDI Tandem-Time-of-Flight Mass Spectrometry

    Development of methods for rapid identification of foodborne bacteria is an important area of analytical science and food safety. MALDI-TOF-MS has been utilized to rapidly identify pathogens including foodborne bacteria. Identification typically involves detection of high copy cytosolic proteins i...

  12. Channel catfish (Ictalurus punctatus Rafinesque, 1818) tetraspanin membrane protein family: Identification, characterization and phylogenetic analysis of tetraspanin 3 and tetraspanin 7 (CD231) transcripts

    Abstract Tetraspanins, a large cell surface protein superfamily characterized by having four transmembrane domains, play many critical roles in physiological and pathological processes. In this study, we report the identification, characterization and phylogenetic analysis of the channel catfish t...

  13. Elevated pressure improves the extraction and identification of proteins recovered from formalin-fixed, paraffin-embedded tissue surrogates.

    Carol B Fowler

    Full Text Available BACKGROUND: Proteomic studies of formalin-fixed paraffin-embedded (FFPE tissues are frustrated by the inability to extract proteins from archival tissue in a form suitable for analysis by 2-D gel electrophoresis or mass spectrometry. This inability arises from the difficulty of reversing formaldehyde-induced protein adducts and cross-links within FFPE tissues. We previously reported the use of elevated hydrostatic pressure as a method for efficient protein recovery from a hen egg-white lysozyme tissue surrogate, a model system developed to study formalin fixation and histochemical processing. PRINCIPAL FINDINGS: In this study, we demonstrate the utility of elevated hydrostatic pressure as a method for efficient protein recovery from FFPE mouse liver tissue and a complex multi-protein FFPE tissue surrogate comprised of hen egg-white lysozyme, bovine carbonic anhydrase, bovine ribonuclease A, bovine serum albumin, and equine myoglobin (55∶15∶15∶10∶5 wt%. Mass spectrometry of the FFPE tissue surrogates retrieved under elevated pressure showed that both the low and high-abundance proteins were identified with sequence coverage comparable to that of the surrogate mixture prior to formaldehyde treatment. In contrast, non-pressure-extracted tissue surrogate samples yielded few positive and many false peptide identifications. Studies with soluble formalin-treated bovine ribonuclease A demonstrated that pressure modestly inhibited the rate of reversal (hydrolysis of formaldehyde-induced protein cross-links. Dynamic light scattering studies suggest that elevated hydrostatic pressure and heat facilitate the recovery of proteins free of formaldehyde adducts and cross-links by promoting protein unfolding and hydration with a concomitant reduction in the average size of the protein aggregates. CONCLUSIONS: These studies demonstrate that elevated hydrostatic pressure treatment is a promising approach for improving the recovery of proteins from FFPE

  14. Identification of discriminant proteins through antibody profiling, methods and apparatus for identifying an individual

    Apel, William A.; Thompson, Vicki S; Lacey, Jeffrey A.; Gentillon, Cynthia A.

    2016-08-09

    A method for determining a plurality of proteins for discriminating and positively identifying an individual based from a biological sample. The method may include profiling a biological sample from a plurality of individuals against a protein array including a plurality of proteins. The protein array may include proteins attached to a support in a preselected pattern such that locations of the proteins are known. The biological sample may be contacted with the protein array such that a portion of antibodies in the biological sample reacts with and binds to the proteins forming immune complexes. A statistical analysis method, such as discriminant analysis, may be performed to determine discriminating proteins for distinguishing individuals. Proteins of interest may be used to form a protein array. Such a protein array may be used, for example, to compare a forensic sample from an unknown source with a sample from a known source.

  15. Identification of semaphorin 5A interacting protein by applying apriori knowledge and peptide complementarity related to protein evolution and structure.

    Sadanandam, Anguraj; Varney, Michelle L; Singh, Rakesh K

    2008-12-01

    In the post-genomic era, various computational methods that predict protein-protein interactions at the genome level are available; however, each method has its own advantages and disadvantages, resulting in false predictions. Here we developed a unique integrated approach to identify interacting partner(s) of Semaphorin 5A (SEMA5A), beginning with seven proteins sharing similar ligand interacting residues as putative binding partners. The methods include Dwyer and Root-Bernstein/Dillon theories of protein evolution, hydropathic complementarity of protein structure, pattern of protein functions among molecules, information on domain-domain interactions, co-expression of genes and protein evolution. Among the set of seven proteins selected as putative SEMA5A interacting partners, we found the functions of Plexin B3 and Neuropilin-2 to be associated with SEMA5A. We modeled the semaphorin domain structure of Plexin B3 and found that it shares similarity with SEMA5A. Moreover, a virtual expression database search and RT-PCR analysis showed co-expression of SEMA5A and Plexin B3 and these proteins were found to have co-evolved. In addition, we confirmed the interaction of SEMA5A with Plexin B3 in co-immunoprecipitation studies. Overall, these studies demonstrate that an integrated method of prediction can be used at the genome level for discovering many unknown protein binding partners with known ligand binding domains. PMID:19329067

  16. PIPINO: A Software Package to Facilitate the Identification of Protein-Protein Interactions from Affinity Purification Mass Spectrometry Data

    Schildbach, Stefan; Blumert, Conny; Horn, Friedemann; von Bergen, Martin; Labudde, Dirk

    2016-01-01

    The functionality of most proteins is regulated by protein-protein interactions. Hence, the comprehensive characterization of the interactome is the next milestone on the path to understand the biochemistry of the cell. A powerful method to detect protein-protein interactions is a combination of coimmunoprecipitation or affinity purification with quantitative mass spectrometry. Nevertheless, both methods tend to precipitate a high number of background proteins due to nonspecific interactions. To address this challenge the software Protein-Protein-Interaction-Optimizer (PIPINO) was developed to perform an automated data analysis, to facilitate the selection of bona fide binding partners, and to compare the dynamic of interaction networks. In this study we investigated the STAT1 interaction network and its activation dependent dynamics. Stable isotope labeling by amino acids in cell culture (SILAC) was applied to analyze the STAT1 interactome after streptavidin pull-down of biotagged STAT1 from human embryonic kidney 293T cells with and without activation. Starting from more than 2,000 captured proteins 30 potential STAT1 interaction partners were extracted. Interestingly, more than 50% of these were already reported or predicted to bind STAT1. Furthermore, 16 proteins were found to affect the binding behavior depending on STAT1 phosphorylation such as STAT3 or the importin subunits alpha 1 and alpha 6. PMID:26966684

  17. Production of soluble mammalian proteins in Escherichia coli: identification of protein features that correlate with successful expression

    Perera Rajika L

    2004-12-01

    Full Text Available Abstract Background In the search for generic expression strategies for mammalian protein families several bacterial expression vectors were examined for their ability to promote high yields of soluble protein. Proteins studied included cell surface receptors (Ephrins and Eph receptors, CD44, kinases (EGFR-cytoplasmic domain, CDK2 and 4, proteases (MMP1, CASP2, signal transduction proteins (GRB2, RAF1, HRAS and transcription factors (GATA2, Fli1, Trp53, Mdm2, JUN, FOS, MAD, MAX. Over 400 experiments were performed where expression of 30 full-length proteins and protein domains were evaluated with 6 different N-terminal and 8 C-terminal fusion partners. Expression of an additional set of 95 mammalian proteins was also performed to test the conclusions of this study. Results Several protein features correlated with soluble protein expression yield including molecular weight and the number of contiguous hydrophobic residues and low complexity regions. There was no relationship between successful expression and protein pI, grand average of hydropathicity (GRAVY, or sub-cellular location. Only small globular cytoplasmic proteins with an average molecular weight of 23 kDa did not require a solubility enhancing tag for high level soluble expression. Thioredoxin (Trx and maltose binding protein (MBP were the best N-terminal protein fusions to promote soluble expression, but MBP was most effective as a C-terminal fusion. 63 of 95 mammalian proteins expressed at soluble levels of greater than 1 mg/l as N-terminal H10-MBP fusions and those that failed possessed, on average, a higher molecular weight and greater number of contiguous hydrophobic amino acids and low complexity regions. Conclusions By analysis of the protein features identified here, this study will help predict which mammalian proteins and domains can be successfully expressed in E. coli as soluble product and also which are best targeted for a eukaryotic expression system. In some cases

  18. Expression and Identification of Inclusion Forming-related Domain of NS80 Nonstructural Protein of Grass Carp Reovirus

    Chao FAN; Lan-lan ZHANG; Cheng-feng LEI; Qin FANG

    2009-01-01

    Grass carp reovirus (GCRV), a double stranded RNA virus that infects aquatic animals, often with disastrous effects, belongs to the genus Aquareovirus and family Reoviridea. Similar to other reoviruses, genome replication of GCRV in infected cells occurs in cytoplasmic inclusion bodies, also called viral factories. Sequences analysis revealed the nonstructural protein NS80, encoded by GCRV segment 4, has a high similarity with uNS in MRV(Mammalian orthoreoviruses), which may be associated with viral factory formation. To understand the function of the uNS80 protein in virus replication, the initial expression and identification of the immunogenicity of the GCRV NS80 protein inclusion forming-related region (335.742) was investigated in this study. It is shown that the over-expressed fusion protein was produced by inducing with IPTG at 28oC. In addition, serum specific rabbit antibody was obtained by using super purified recombinant NS80(335.742) protein as antigen. Moreover, the expressed protein was able to bind to anti-his-tag monoclonal antibody (mouse) and NS80(335-742) specific rabbit antibody. Further western blot analysis indicates that the antiserum could detect NS80 or NS80C protein expression in GCRV infected cells. This data provides a foundation for further investigation of the role of NS80 in viral inclusion formation and virion assembly.

  19. Isolation of two strong poly (U binding proteins from moderate halophile Halomonas eurihalina and their identification as cold shock proteins.

    Usha Kumari Garapati

    Full Text Available Cold shock proteins (Csp are known to be expressed in response to sudden decrease in temperature. They are thought to be involved in a number of cellular processes viz., RNA chaperone activity, translation, transcription, nucleoid condensation. During our studies on ribosomal protein S1 in moderate halophile Halomonas eurihalina, we observed the presence of two strong poly (U binding proteins in abundance in cell extracts from cells grown under normal growth conditions. The proteins can be isolated in a single step using Poly (U cellulose chromatography. The proteins were identified as major cold shock proteins belonging to Csp A family by MALDI-TOF and bioinformatic analysis. Csp 12 kDa was found in both exponential and stationary phases whereas Csp 8 kDa is found only in exponential phase.

  20. Large-scale identification of odorant-binding proteins and chemosensory proteins from expressed sequence tags in insects

    Zhang Yong-Jun; Dong Shuang-Lin; Fang Shao-Qing; Zhang Lan; He Peng; Xu Ya-Long; Li Fei

    2009-01-01

    Abstract Background Insect odorant binding proteins (OBPs) and chemosensory proteins (CSPs) play an important role in chemical communication of insects. Gene discovery of these proteins is a time-consuming task. In recent years, expressed sequence tags (ESTs) of many insect species have accumulated, thus providing a useful resource for gene discovery. Results We have developed a computational pipeline to identify OBP and CSP genes from insect ESTs. In total, 752,841 insect ESTs were examined ...

  1. Single-Copy Green Fluorescent Protein Gene Fusions Allow Accurate Measurement of Salmonella Gene Expression In Vitro and during Infection of Mammalian Cells

    Hautefort, Isabelle; Proença, Maria José; Hinton, Jay C. D.

    2003-01-01

    We developed a reliable and flexible green fluorescent protein (GFP)-based system for measuring gene expression in individual bacterial cells. Until now, most systems have relied upon plasmid-borne gfp gene fusions, risking problems associated with plasmid instability. We show that a recently developed GFP variant, GFP+, is suitable for assessing bacterial gene expression. Various gfp+ transcriptional fusions were constructed and integrated as single copies into the chromosome of Salmonella e...

  2. ICGA-PSO-ELM approach for accurate multiclass cancer classification resulting in reduced gene sets in which genes encoding secreted proteins are highly represented.

    Saraswathi, Saras; Sundaram, Suresh; Sundararajan, Narasimhan; Zimmermann, Michael; Nilsen-Hamilton, Marit

    2011-01-01

    A combination of Integer-Coded Genetic Algorithm (ICGA) and Particle Swarm Optimization (PSO), coupled with the neural-network-based Extreme Learning Machine (ELM), is used for gene selection and cancer classification. ICGA is used with PSO-ELM to select an optimal set of genes, which is then used to build a classifier to develop an algorithm (ICGA_PSO_ELM) that can handle sparse data and sample imbalance. We evaluate the performance of ICGA-PSO-ELM and compare our results with existing methods in the literature. An investigation into the functions of the selected genes, using a systems biology approach, revealed that many of the identified genes are involved in cell signaling and proliferation. An analysis of these gene sets shows a larger representation of genes that encode secreted proteins than found in randomly selected gene sets. Secreted proteins constitute a major means by which cells interact with their surroundings. Mounting biological evidence has identified the tumor microenvironment as a critical factor that determines tumor survival and growth. Thus, the genes identified by this study that encode secreted proteins might provide important insights to the nature of the critical biological features in the microenvironment of each tumor type that allow these cells to thrive and proliferate. PMID:21233525

  3. Matrix-assisted laser desorption/ionization coupled with quadrupole/orthogonal acceleration time-of-flight mass spectrometry for protein discovery, identification, and structural analysis.

    Baldwin, M A; Medzihradszky, K F; Lock, C M; Fisher, B; Settineri, T A; Burlingame, A L

    2001-04-15

    The design and operation of a novel UV-MALDI ionization source on a commercial QqoaTOF mass spectrometer (Applied Biosystem/MDS Sciex QSTAR Pulsar) is described. Samples are loaded on a 96-well target plate, the movement of which is under software control and can be readily automated. Unlike conventional high-energy MALDI-TOF, the ions are produced with low energies (5-10 eV) in a region of relatively low vacuum (8 mTorr). Thus, they are cooled by extensive low-energy collisions before selection in the quadrupole mass analyzer (Q1), potentially giving a quasi-continuous ion beam ideally suited to the oaTOF used for mass analysis of the fragment ions, although ion yields from individual laser shots may vary widely. Ion dissociation is induced by collisions with argon in an rf-only quadrupole cell, giving typical low-energy CID spectra for protonated peptide ions. Ions separated in the oaTOF are registered by a four-anode detector and time-to-digital converter and accumulated in "bins" that are 625 ps wide. Peak shapes depend upon the number of ion counts in adjacent bins. As expected, the accuracy of mass measurement is shown to be dependent upon the number of ions recorded for a particular peak. With internal calibration, mass accuracy better than 10 ppm is attainable for peaks that contain sufficient ions to give well-defined Gaussian profiles. By virtue of its high resolution, capability for accurate mass measurements, and sensitivity in the low-femotomole range, this instrument is ideally suited to protein identification for proteomic applications by generation of peptide tags, manual sequence interpretation, identification of modifications such as phosphorylation, and protein structural elucidation. Unlike the multiply charged ions typical of electrospray ionization, the singly charged MALDI-generated peptide ions show a linear dependence of optimal collision energy upon molecular mass, which is advantageous for automated operation. It is shown that the novel

  4. Identification of new PNEPs indicates a substantial non-PEXEL exportome and underpins common features in Plasmodium falciparum protein export.

    Arlett Heiber

    Full Text Available Malaria blood stage parasites export a large number of proteins into their host erythrocyte to change it from a container of predominantly hemoglobin optimized for the transport of oxygen into a niche for parasite propagation. To understand this process, it is crucial to know which parasite proteins are exported into the host cell. This has been aided by the PEXEL/HT sequence, a five-residue motif found in many exported proteins, leading to the prediction of the exportome. However, several PEXEL/HT negative exported proteins (PNEPs indicate that this exportome is incomplete and it remains unknown if and how many further PNEPs exist. Here we report the identification of new PNEPs in the most virulent malaria parasite Plasmodium falciparum. This includes proteins with a domain structure deviating from previously known PNEPs and indicates that PNEPs are not a rare exception. Unexpectedly, this included members of the MSP-7 related protein (MSRP family, suggesting unanticipated functions of MSRPs. Analyzing regions mediating export of selected new PNEPs, we show that the first 20 amino acids of PNEPs without a classical N-terminal signal peptide are sufficient to promote export of a reporter, confirming the concept that this is a shared property of all PNEPs of this type. Moreover, we took advantage of newly found soluble PNEPs to show that this type of exported protein requires unfolding to move from the parasitophorous vacuole (PV into the host cell. This indicates that soluble PNEPs, like PEXEL/HT proteins, are exported by translocation across the PV membrane (PVM, highlighting protein translocation in the parasite periphery as a general means in protein export of malaria parasites.

  5. Identification of Semaphorin 5A Interacting Protein by Applying Apriori Knowledge and Peptide Complementarity Related to Protein Evolution and Structure

    Anguraj Sadanandam; Michelle L. Varney; Rakesh K. Singh

    2008-01-01

    In the post-genomic era, various computational methods that predict proteinprotein interactions at the genome level are available; however, each method has its own advantages and disadvantages, resulting in false predictions. Here we developed a unique integrated approach to identify interacting partner(s) of Semaphorin 5A (SEMA5A), beginning with seven proteins sharing similar ligand interacting residues as putative binding partners. The methods include Dwyer and Root-Bernstein/Dillon theories of protein evolution, hydropathic complementarity of protein structure, pattern of protein functions among molecules, information on domain-domain interactions, co-expression of genes and protein evolution. Among the set of seven proteins selected as putative SEMA5A interacting partners, we found the functions of Plexin B3 and Neuropilin-2 to be associated with SEMA5A.We modeled the semaphorin domain structure of Plexin B3 and found that it shares similarity with SEMA5A. Moreover, a virtual expression database search and RT-PCR analysis showed co-expression of SEMA5A and Plexin B3 and these proteins were found to have co-evolved. In addition, we confirmed the interaction of SEMA5A with Plexin B3 in co-immunoprecipitation studies. Overall, these studies demonstrate that an integrated method of prediction can be used at the genome level for discovering many unknown protein binding partners with known ligand binding domains.

  6. Identification and characterization of a novel Chlamydia trachomatis reticulate body protein

    Shaw, Allan C; Larsen, Martin Røssel; Roepstorff, Peter;

    2002-01-01

    identified by tandem mass spectrometry. No homology of this protein was observed to proteins from other organisms. The protein was conserved in C. trachomatis but not found in Chlamydia pneumoniae. Using proteomics, we show that the expression of the protein is initiated at the middle of the developmental...... cycle. The protein is rapidly degraded and is only present in reticulate or intermediate bodies, suggesting a possible function in the intracellular stage of C. trachomatis development. We have termed the protein '7-kDa reticulate body protein'....

  7. Identification of poly(rC) binding protein 2 (PCBP2) as a target protein of immunosuppressive agent 15-deoxyspergualin.

    Murahashi, Masataka; Simizu, Siro; Morioka, Masahiko; Umezawa, Kazuo

    2016-08-01

    15-Deoxyspergualin (DSG) is an immunosuppressive agent being clinically used. Unlike tacrolimus and cyclosporine A, it does not inhibit the calcineurin pathway, and its mechanism of action and target molecule have not been elucidated. Therefore, we previously prepared biotinylated derivative of DSG (BDSG) to fish up the target protein. In the present research, we identified poly(rC) binding protein 2 (PCBP2) as a DSG-binding protein using this probe. DSG was confirmed to bind to PCBP2 by pull-down assay. Intracellular localization of PCBP2 was changed from the nucleus to the cytoplasm by DSG treatment. DSG inhibited the cell growth, and over-expression of PCBP2 reduced the anti-proliferative activity of DSG. PCBP2 is known to regulate various proteins including STAT1/2. Thus, we found PCBP2 as the first target protein of DSG that can explain the immunosuppressive activity. PMID:27261432

  8. Identification of Putative ORF5 Protein of Porcine Circovirus Type 2 and Functional Analysis of GFP-Fused ORF5 Protein.

    Qizhuang Lv

    Full Text Available Porcine circovirus type 2 (PCV2 is the essential infectious agent responsible for causing porcine circovirus-associated diseases in pigs. To date, eleven RNAs and five viral proteins of PCV2 have been detected. Here, we identified a novel viral gene within the PCV2 genome, termed ORF5, that exists at both the transcriptional and translational level during productive infection of PCV2 in porcine alveolar macrophages 3D4/2 (PAMs. Northern blot analysis was used to demonstrate that the ORF5 gene measures 180 bp in length and overlaps completely with ORF1 when read in the same direction. Site-directed mutagenesis was used to show that the ORF5 protein is not essential for PCV2 replication. To investigate the biological functions of the novel protein, we constructed a recombinant eukaryotic expression plasmid capable of expressing PCV2 ORF5. The results show that the GFP-tagged PCV2 ORF5 protein localizes to the endoplasmic reticulum (ER, is degraded via the proteasome, inhibits PAM growth and prolongs the S-phase of the cell cycle. Further studies show that the GFP-tagged PCV2 ORF5 protein induces ER stress and activates NF-κB, which was further confirmed by a significant upregulation in IL-6, IL-8 and COX-2 expression. In addition, five cellular proteins (GPNMB, CYP1A1, YWHAB, ZNF511 and SRSF3 were found to interact with ORF5 via yeast two-hybrid assay. These findings provide novel information on the identification and functional analysis of the PCV2 ORF5 protein and are likely to be of benefit in elucidating the molecular mechanisms of PCV2 pathogenicity. However, additional experiments are needed to validate the expression and function of the ORF5 protein during PCV2 infection in vitro before any definitive conclusion can be drawn.

  9. Global Identification of Protein Post-translational Modifications in a Single-Pass Database Search

    Shortreed, Michael R.; Wenger, Craig D.; Frey, Brian L.; Sheynkman, Gloria M.; Scalf, Mark; Keller, Mark P.; Attie, Alan D; Smith, Lloyd M.

    2015-01-01

    Bottom-up proteomics database search algorithms used for peptide identification cannot comprehensively identify post-translational modifications (PTMs) in a single-pass because of high false discovery rates (FDRs). A new approach to database searching enables global PTM (G-PTM) identification by exclusively looking for curated PTMs, thereby avoiding the FDR penalty experienced during conventional variable modification searches. We identified over 2200 unique, high-confidence modified peptides...

  10. Metrological sharp shooting for plasma proteins and peptides: The need for reference materials for accurate measurements in clinical proteomics and in vitro diagnostics to generate reliable results.

    Vitzthum, Frank; Siest, Gérard; Bunk, David M; Preckel, Tobias; Wenz, Christian; Hoerth, Patric; Schulz-Knappe, Peter; Tammen, Harald; Adamkiewicz, Juergen; Merlini, Giampaolo; Anderson, N Leigh

    2007-09-01

    Reliable study results are necessary for the assessment of discoveries, including those from proteomics. Reliable study results are also crucial to increase the likelihood of making a successful choice of biomarker candidates for verification and subsequent validation studies, a current bottleneck for the transition to in vitro diagnostic (IVD). In this respect, a major need for improvement in proteomics appears to be accuracy of measurements, including both trueness and precision of measurement. Standardization and total quality management systems (TQMS) help to provide accurate measurements and reliable results. Reference materials are an essential part of standardization and TQMS in IVD and are crucial to provide metrological correct measurements and for the overall quality assurance process. In this article we give an overview on how reference materials are defined, prepared and what role they play in standardization and TQMS to support the generation of reliable results. We discuss how proteomics can support the establishment of reference materials and biomarker tests for IVD applications, how current reference materials used in IVD may be beneficially applied in proteomics, and we provide considerations on the establishment of reference materials specific for proteomics. For clarity, we solely focus on reference materials related to serum and plasma. PMID:21136754

  11. Identification of Human Serum Proteins Which Interact With Alzheimer`s Amyloid �A4 Protein

    Golam Sadik

    2000-01-01

    Full Text Available Alzheimer`s amyloid βA4 protein fused with glutathione S-transferase (GST was highly expressed using a strong prokaryotic expression system in Escherichia coli. The expressed protein had expected molecular mass on SDS-PAGE and appeared exclusively immunoreactive with antibody specific for βA4 epitope. This recombinant protein was purified with a combination of urea solubilization and ion exchange chromatography. To identify the human serum proteins which interact with βA4, affinity columns were prepared by immobilizing GST- βA4 and GST respectively. Using the affinity columns and human serum, we have observed an interaction of βA4 with serum proteins. Two proteins of Mr 45 and 15 kDa were identified on SDS-PAGE to be involved in the interaction. Our demonstration of the ability of βA4 to interact with serum protein strongly support the notion that such an interaction may underlie with the biological function of βA4 in vivo.

  12. Identification of a novel matrix protein contained in a protein aggregate associated with collagen in fish otoliths.

    Tohse, Hidekazu; Takagi, Yasuaki; Nagasawa, Hiromichi

    2008-05-01

    In the biomineralization processes, proteins are thought to control the polymorphism and morphology of the crystals by forming complexes of structural and mineral-associated proteins. To identify such proteins, we have searched for proteins that may form high-molecular-weight (HMW) aggregates in the matrix of fish otoliths that have aragonite and vaterite as their crystal polymorphs. By screening a cDNA library of the trout inner ear using an antiserum raised against whole otolith matrix, a novel protein, named otolith matrix macromolecule-64 (OMM-64), was identified. The protein was found to have a molecular mass of 64 kDa, and to contain two tandem repeats and a Glu-rich region. The structure of the protein and that of its DNA are similar to those of starmaker, a protein involved in the polymorphism control in the zebrafish otoliths [Söllner C, Burghammer M, Busch-Nentwich E, Berger J, Schwarz H, Riekel C & Nicolson T (2003) Science302, 282-286]. (45)Ca overlay analysis revealed that the Glu-rich region has calcium-binding activity. Combined analysis by western blotting and deglycosylation suggested that OMM-64 is present in an HMW aggregate with heparan sulfate chains. Histological observations revealed that OMM-64 is expressed specifically in otolith matrix-producing cells and deposited onto the otolith. Moreover, the HMW aggregate binds to the inner ear-specific short-chain collagen otolin-1, and the resulting complex forms ring-like structures in the otolith matrix. Overall, OMM-64, by forming a calcium-binding aggregate that binds to otolin-1 and forming matrix protein architectures, may be involved in the control of crystal morphology during otolith biomineralization. PMID:18410381

  13. Identification of metal-binding to proteins in seed samples using RF-HPLC-UV, GFAAS and MALDI-TOF-MS.

    Rigueira, Leila M B; Lana, Diogo A P D; Dos Santos, Daniel M; Pimenta, Adriano M; Augusti, Rodinei; Costa, Leticia M

    2016-11-15

    An extraction procedure using Tris-HCl buffer solution was employed in order to extract water-soluble proteins from seed samples of oat, wheat and soybean. Initially, the total protein concentration was determined by the Bradford method in each solution, after the extraction procedure. The soybean sample showed a higher concentration of total protein compared to the others. The protein extracts obtained were separated by reverse-phase chromatography (RP-HPLC-UV). The protein fractions were collected and analyzed by graphite furnace atomic absorption spectrometry (GFAAS) and matrix-assisted laser desorption/ionization (MALDI-TOF-MS) for determination of Cu, Fe, Mn and Zn and identification of proteins, respectively. The combination of techniques such as RP-HPLC-UV, GFAAS and MALDI-TOF-MS allowed the identification of several proteins bound to metals present in the seed samples. PMID:27283712

  14. Identification and characterization of peptidoglycan-associated proteins in Neisseria gonorrhoeae.

    Hill, S. A.; Judd, R C

    1989-01-01

    The principal proteins associated with Neisseria gonorrhoeae peptidoglycan (PG), as identified by sodium dodecyl sulfate-polyacrylamide gel electrophoresis, are the following: two proteins at approximately 90 kilodaltons (kDa), single major species at both 60 and 44 kDa, a 34- to 36-kDa protein, and three proteins between 28 and 32 kDa. A protein analogous to Escherichia coli Braun lipoprotein was not detected with gonococcal cell wall preparations. The identity of the PG-associated proteins ...

  15. Identification and in silico analysis of helical lipid binding regions in proteins belonging to the amphitropic protein family

    Rob C A Keller

    2014-12-01

    The role of protein–lipid interactions is increasingly recognized to be of importance in numerous biological processes. Bioinformatics is being increasingly used as a helpful tool in studying protein–lipid interactions. Especially recently developed approaches recognizing lipid binding regions in proteins can be implemented. In this study one of those bioinformatics approaches specialized in identifying lipid binding helical regions in proteins is expanded. The approach is explored further by features which can be easily obtained manually. Some interesting examples of members of the amphitropic protein family have been investigated in order to demonstrate the additional features of this bioinformatics approach. The results in this study seem to indicate interesting characteristics of amphitropic proteins and provide insight into the mechanistic functioning and overall understanding of this intriguing class of proteins. Additionally, the results demonstrate that the presented bioinformatics approach might be either an interesting starting point in protein–lipid interactions studies or a good tool for selecting new focus points for more detailed experimental research of proteins with known overall protein–lipid binding abilities.

  16. Identification of leaf proteins differentially accumulated during cold acclimation between Festuca pratensis plants with distinct levels of frost tolerance.

    Kosmala, Arkadiusz; Bocian, Aleksandra; Rapacz, Marcin; Jurczyk, Barbara; Zwierzykowski, Zbigniew

    2009-01-01

    Festuca pratensis (meadow fescue) as the most frost-tolerant species within the Lolium-Festuca complex was used as a model for research aimed at identifying the cellular components involved in the cold acclimation (CA) of forage grasses. The work presented here also comprises the first comprehensive proteomic research on CA in a group of monocotyledonous species which are able to withstand winter conditions. Individual F. pratensis plants with contrasting levels of frost tolerance, high frost tolerant (HFT) and low frost tolerant (LFT) plants, were selected for comparative proteomic research. The work focused on the analysis of leaf protein accumulation before and after 2, 8, and 26 h, and 3, 5, 7, 14, and 21 d of CA, using high-throughput two-dimensional electrophoresis, and on the identification of proteins which were accumulated differentially between the selected plants by the application of mass spectrometry. The analyses of approximately 800 protein profiles revealed a total of 41 (5.1%) proteins that showed a minimum of a 1.5-fold difference in abundance, at a minimum of one time point of CA for HFT and LFT genotypes. It was shown that significant differences in profiles of protein accumulation between the analysed plants appeared relatively early during cold acclimation, most often after 26 h (on the 2nd day) of CA and one-half of the differentially accumulated proteins were all parts of the photosynthetic apparatus. Several proteins identified here have been reported to be differentially accumulated during cold conditions for the first time in this paper. The functions of the selected proteins in plant cells and their probable influence on the level of frost tolerance in F. pratensis, are discussed. PMID:19553368

  17. Proteomic identification of carbonylated proteins in the kidney of trichloroethene-exposed MRL+/+ mice

    Fan, Xiuzhen; WANG, GANGDUO; English, Robert D.; Khan, M. Firoze

    2013-01-01

    Trichloroethene (TCE), a common environmental and occupational pollutant, is associated with multi-organ toxicity. Kidney is one of major target organs affected as a result of TCE exposure. Our previous studies have shown that exposure to TCE causes increased protein oxidation (protein carbonylation) in the kidneys of autoimmune-prone MRL +/+ mice, and suggested a potential role of protein oxidation in TCE-mediated nephrotoxicity. To assess the impact of chronic TCE exposure on protein oxidat...

  18. Identification of Novel Surface-Exposed Proteins of Rickettsia rickettsii by Affinity Purification and Proteomics

    Gong, Wenping; Xiong, Xiaolu; Qi, Yong; Jiao, Jun; Duan, Changsong; Wen, Bohai

    2014-01-01

    Rickettsia rickettsii, the causative agent of Rocky Mountain spotted fever, is the most pathogenic member among Rickettsia spp. Surface-exposed proteins (SEPs) of R. rickettsii may play important roles in its pathogenesis or immunity. In this study, R. rickettsii organisms were surface-labeled with sulfo-NHS-SS-biotin and the labeled proteins were affinity-purified with streptavidin. The isolated proteins were separated by two-dimensional electrophoresis, and 10 proteins were identified among...

  19. Identification of the major membrane and core proteins of vaccinia virus by two-dimensional electrophoresis.

    Jensen, O N; Houthaeve, T; Shevchenko, A.; Cudmore, S; Ashford, T; MANN, M; Griffiths, G; Krijnse Locker, J

    1996-01-01

    Vaccinia virus assembly has been well studied at the ultrastructural level, but little is known about the molecular events that occur during that process. Towards this goal, we have identified the major membrane and core proteins of the intracellular mature virus (IMV). Pure IMV preparations were subjected to Nonidet P-40 (NP-40) and dithiothreitol (DTT) treatment to separate the core proteins from the membrane proteins. These proteins were subsequently separated by two-dimensional (2D) gel e...

  20. Identification of Major Sporulation Proteins of Myxococcus xanthus Using a Proteomic Approach▿

    Dahl, John L.; Tengra, Farah K; Dutton, David; Yan, Jinyuan; Andacht, Tracy M.; Coyne, Lia; Windell, Veronica; Garza, Anthony G.

    2007-01-01

    Myxococcus xanthus is a soil-dwelling, gram-negative bacterium that during nutrient deprivation is capable of undergoing morphogenesis from a vegetative rod to a spherical, stress-resistant spore inside a domed-shaped, multicellular fruiting body. To identify proteins required for building stress-resistant M. xanthus spores, we compared the proteome of liquid-grown vegetative cells with the proteome of mature fruiting body spores. Two proteins, protein S and protein S1, were differentially ex...

  1. Proteomic Identification of Novel Differentiation Plasma Protein Markers in Hypobaric Hypoxia-Induced Rat Model

    Ahmad, Yasmin; Sharma, Narendra K.; Ahmad, Mohammad Faiz; Sharma, Manish; Garg, Iti; Bhargava, Kalpana

    2014-01-01

    Background Hypobaric hypoxia causes complex changes in the expression of genes, including stress related genes and corresponding proteins that are necessary to maintain homeostasis. Whereas most prior studies focused on single proteins, newer methods allowing the simultaneous study of many proteins could lead to a better understanding of complex and dynamic changes that occur during the hypobaric hypoxia. Methods In this study we investigated the temporal plasma protein alterations of rat ind...

  2. Identification of Functional Candidates amongst Hypothetical Proteins of Treponema pallidum ssp. pallidum

    Naqvi, Ahmad Abu Turab; Shahbaaz, Mohd; Ahmad, Faizan; Hassan, Md. Imtaiyaz

    2015-01-01

    Syphilis is a globally occurring venereal disease, and its infection is propagated through sexual contact. The causative agent of syphilis, Treponema pallidum ssp. pallidum, a Gram-negative sphirochaete, is an obligate human parasite. Genome of T. pallidum ssp. pallidum SS14 strain (RefSeq NC_010741.1) encodes 1,027 proteins, of which 444 proteins are known as hypothetical proteins (HPs), i.e., proteins of unknown functions. Here, we performed functional annotation of HPs of T. pallidum ssp. ...

  3. Identification of multidrug resistance protein 1 (MRP1/ABCC1) as a molecular gate for cellular export of cobalamin

    Beedholm-Ebsen, Rasmus; van de Wetering, Koen; Hardlei, Tore;

    2010-01-01

    transporters by cellular gene silencing showed a role in cellular Cbl efflux of the ATP-binding cassette (ABC)-drug transporter, ABCC1, alias multidrug resistance protein 1 (MRP1), which is present in the basolateral membrane of intestinal epithelium and in other cells. The ability of MRP1 to mediate ATP...... kidney. In contrast, Cbl accumulates in the terminal part of the intestine of these mice, suggesting a functional malabsorption because of a lower epithelial basolateral Cbl efflux. The identification of this Cbl export mechanism now allows the delineation of a coherent pathway for Cbl trafficking from...

  4. Transmissible gastroenteritis virus; identification of M protein-binding peptide ligands with antiviral and diagnostic potential

    The membrane (M) protein is one of the major structural proteins of coronavirus particles. In this study, the M protein of transmissible gastroenteritis virus (TGEV) was used to biopan a 12-mer phage display random peptide library. Three phages expressing TGEV-M-binding peptides were identified and ...

  5. Identification and molecular analysis of a 63-kilodalton stress protein from Neisseria gonorrhoeae.

    Pannekoek, Y; van Putten, J P; Dankert, J

    1992-11-01

    Iron limitation, glucose deprivation, and growth under low oxygen supply (environmental stress) increased the expression of several proteins of Neisseria gonorrhoeae, including a 63-kilodalton protein identified by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. This gonococcal stress protein (GSP63) was detected in the cytosol and copurified with lithium acetate-derived outer membranes. Successful purification of the protein was achieved by sucrose density gradient centrifugation and by chromatography on phenyl-Sepharose. Gel filtration of the purified protein revealed a molecular weight of approximately 450,000, suggesting that in its native state, the protein consists of a multimer of six to eight subunits. Isoelectric focusing indicated a pI of 5.2. Immunoblotting experiments using a polyclonal antiserum raised against the purified protein demonstrated cross-reactivity with a protein of the same electrophoretic mobility as GSP63 in all eight gonococcal isolates tested. N-terminal amino acid sequencing of the protein revealed up to 65% homology with members of the Hsp60 heat shock protein family, suggesting that GSP63 is related to this group of proteins. This relationship was further substantiated by the immunological cross-reactivity of GSP63 with mycobacterial Hsp60 and the ATP-binding activity of the gonococcal stress protein. PMID:1400243

  6. Accurate measurement of {sup 3}J{sub HNHα} couplings in small or disordered proteins from WATERGATE-optimized TROSY spectra

    Roche, Julien; Ying, Jinfa; Bax, Ad, E-mail: bax@nih.gov [National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Laboratory of Chemical Physics (United States)

    2016-01-15

    Provided that care is taken in adjusting the WATERGATE element of a {sup 1}H–{sup 15}N TROSY-HSQC experiment, such that neither the water magnetization nor the {sup 1}H{sup α} protons are inverted by its final 180° pulse, {sup 3}J{sub HNHα} couplings can be measured directly from splittings in the {sup 1}H dimension of the spectrum. With band-selective {sup 1}H decoupling, very high {sup 15}N resolution can be achieved. A complete set of {sup 3}J{sub HNHα} values, ranging from 3.4 to 10.1 Hz was measured for the 56-residue third domain of IgG-binding protein G (GB3). Using the H–N–C{sup α}–H{sup α} dihedral angles extracted from a RDC-refined structure of GB3, {sup 3}J{sub HNHα} values predicted by a previously parameterized Karplus equation agree to within a root-mean-square deviation (rmsd) of 0.37 Hz with the experimental data. Values measured for the Alzheimer’s implicated Aβ{sup 1−40} peptide fit to within an rmsd of 0.45 Hz to random coil {sup 3}J{sub HNHα} values.

  7. Fatty Acid-binding Proteins Interact with Comparative Gene Identification-58 Linking Lipolysis with Lipid Ligand Shuttling.

    Hofer, Peter; Boeszoermenyi, Andras; Jaeger, Doris; Feiler, Ursula; Arthanari, Haribabu; Mayer, Nicole; Zehender, Fabian; Rechberger, Gerald; Oberer, Monika; Zimmermann, Robert; Lass, Achim; Haemmerle, Guenter; Breinbauer, Rolf; Zechner, Rudolf; Preiss-Landl, Karina

    2015-07-24

    The coordinated breakdown of intracellular triglyceride (TG) stores requires the exquisitely regulated interaction of lipolytic enzymes with regulatory, accessory, and scaffolding proteins. Together they form a dynamic multiprotein network designated as the "lipolysome." Adipose triglyceride lipase (Atgl) catalyzes the initiating step of TG hydrolysis and requires comparative gene identification-58 (Cgi-58) as a potent activator of enzyme activity. Here, we identify adipocyte-type fatty acid-binding protein (A-Fabp) and other members of the fatty acid-binding protein (Fabp) family as interaction partners of Cgi-58. Co-immunoprecipitation, microscale thermophoresis, and solid phase assays proved direct protein/protein interaction between A-Fabp and Cgi-58. Using nuclear magnetic resonance titration experiments and site-directed mutagenesis, we located a potential contact region on A-Fabp. In functional terms, A-Fabp stimulates Atgl-catalyzed TG hydrolysis in a Cgi-58-dependent manner. Additionally, transcriptional transactivation assays with a luciferase reporter system revealed that Fabps enhance the ability of Atgl/Cgi-58-mediated lipolysis to induce the activity of peroxisome proliferator-activated receptors. Our studies identify Fabps as crucial structural and functional components of the lipolysome. PMID:25953897

  8. Identification of a novel conserved HLA-A*0201-restricted epitope from the spike protein of SARS-CoV

    Ni Bing

    2009-12-01

    Full Text Available Abstract Background The spike (S protein is a major structural glycoprotein of coronavirus (CoV, the causal agent of severe acute respiratory syndrome (SARS. The S protein is a potent target for SARS-specific cell-mediated immune responses. However, the mechanism CoV pathogenesis in SARS and the role of special CTLs in virus clearance are still largely uncharacterized. Here, we describe a study that leads to the identification of a novel HLA-A*0201-restricted epitope from conserved regions of S protein. Results First, different SARS-CoV sequences were analyzed to predict eight candidate peptides from conserved regions of the S protein based upon HLA-A*0201 binding and proteosomal cleavage. Four of eight candidate peptides were tested by HLA-A*0201 binding assays. Among the four candidate peptides, Sp8 (S958-966, VLNDILSRL induced specific CTLs both ex vivo in PBLs of healthy HLA-A2+ donors and in HLA-A2.1/Kb transgenic mice immunized with a plasmid encoding full-length S protein. The immunized mice released IFN-γ and lysed target cells upon stimulation with Sp8 peptide-pulsed autologous dendritic cells in comparison to other candidates. Conclusion These results suggest that Sp8 is a naturally processed epitope. We propose that Sp8 epitope should help in the characterization of mechanisms of virus control and immunopathology in SARS-CoV infection.

  9. Identification of Cry1Ac and Cry2Ab proteins in transgenic cotton seeds available in Gujarat (India by ELISA method

    Alka Dohare

    2014-02-01

    Full Text Available Along with the increase market of the transgenic crops, the demand for testing GMOs and for certifying non-GMO foodstuffs has increased dramatically. Within the arena of expanding techniques for identification and quantification of transgenic crops, two major approaches for detecting GMOs are still applicable on large scale, namely ELISA based protein detection and PCR based gene identification. In present study, ELISA techniques was adopted to identify the specific Cry1Ac and Cry2Ab proteins in some transgenic cotton plants seed samples viz., Gujarat cotton hybrid – 6 (BG II, Gujarat cotton hybrid – 8 (BG II and Gujarat cotton hybrid – 10 (BG II from the Gujarat state of India. The study reveals the presence of both Cry1Ac and Cry2Ab proteins in the transgenic seed samples and also demonstrated that the technique of ELISA for identification of Cry1Ac and Cry2Ab proteins is quite handy and easily adoptable.

  10. Identification of Proteins in Human Cytomegalovirus (HCMV) Particles: the HCMV Proteome

    Varnum, Susan M.; Streblow, Daniel N.; Monroe, Matthew E.; Smith, Patricia; Auberry, Kenneth J.; Pasa-Tolic, Liljiana; Wang, Dai; Camp, David G.; Rodland, Karin D.; Wiley, H S.; Britt, William; Shenk, Thomas; Smith, Richard D.; Nelson, Jay

    2004-10-15

    Human cytomegalovirus (HCMV), a member of the herpes virus family, is a large complex enveloped virus composed of both viral and cellular gene products. While the sequence of the HCMV genome has been known for over a decade, the full set of viral and cellular proteins that compose the HCMV virion are unknown. To approach this problem we have utilized gel-free two-dimensional capillary liquid chromatography-tandem mass spectrometry (MS/MS) and Fourier transform ion cyclotron resonance MS to identify and determine the relative abundances of viral and cellular proteins in purified HCMV AD169 virions and dense bodies. Analysis of the proteins from purified HCMV virion preparations has indicated that the particle contains significantly more viral proteins than previously known. In this study, we identified 71 HCMV-encoded proteins that included 12 proteins encoded by known viral open reading frames (ORFs) previously not associated with virions and 12 proteins from novel viral ORFs. Analysis of the relative abundance of HCMV proteins indicated that the predominant virion protein was the pp65 tegument protein and that gM rather than gB was the most abundant glycoprotein. We have also identified over 70 host cellular proteins in HCMV virions, which include cellular structural proteins, enzymes, and chaperones. In addition, analysis of HCMV dense bodies indicated that these viral particles are composed of 29 viral proteins with a reduced quantity of cellular proteins in comparison to HCMV virions. This study provides the first comprehensive quantitative analysis of the viral and cellular proteins that compose infectious particles of a large complex virus.

  11. Finding the "bio" in biobased products: electrophoretic identification of wheat proteins in processed products.

    Robertson, George H; Hurkman, William J; Cao, Trung K; Tanaka, Charlene K; Orts, William J

    2010-04-14

    Verification of the biocontent in biobased or "green" products identifies genuine products, exposes counterfeit copies, supports or refutes content claims, and ensures consumer confidence. When the biocontent includes protein, elemental nitrogen analysis is insufficient for verification since non-protein, but nitrogen-rich, content also may be present. However, the proteins can be extracted, separated by electrophoretic methods, and detected by UV absorption, protein stain, or immunoblotting. We utilized capillary zone electrophoresis (CZE) to separate proteins in a gliadin fraction that had been dissolved in aqueous ethanol (70%) and polyacrylamide gel electrophoresis (PAGE) to separate proteins in a gliadin-plus-glutenin fraction that had been dissolved in water containing both sodium dodecyl sulfate (SDS) and a reducing agent, dithiothreitol (DTT). We sought to verify the presence of these wheat grain proteins in wheat bread, a wheat flake cereal, wheat beer, and an enclosure for an antique automobile ignition coil reputed to contain wheat gluten. Proteins extracted from commercial wheat, corn, and soy flours served as standards, and proteins from heat-altered wheat served as process condition references. This approach successfully identified wheat proteins in these products especially if the process temperature did not exceed 120 degrees C. Above this temperature attenuation was nearly complete for proteins analyzed by CZE, but wheat-like patterns could still be recognized by one- and two-dimensional PAGE. Immunoblots reacted with grain-specific antibodies confirmed the identities of the cereal component especially when the protein pattern was greatly altered by thermal modification, specific protein adsorption, or protein digestion. In addition to verifying that wheat proteins are present, the complementary use of these methods can reveal whether whole wheat gluten or merely an alcohol-soluble fraction had been used in the specific product and indicate the

  12. Identification of Leaf Proteins Differentially Accumulated between Wheat Cultivars Distinct in Their Levels of Drought Tolerance.

    Cheng, Zhiwei; Dong, Kun; Ge, Pei; Bian, Yanwei; Dong, Liwei; Deng, Xiong; Li, Xiaohui; Yan, Yueming

    2015-01-01

    The drought-tolerant 'Ningchun 47' (NC47) and drought-sensitive 'Chinese Spring' (CS) wheat (Triticum aestivum L.) cultivars were treated with different PEG6000 concentrations at the three-leaf stage. An analysis on the physiological and proteomic changes of wheat seedling in response to drought stress was performed. In total, 146 differentially accumulated protein (DAP) spots were separated and recognised using two-dimensional gel electrophoresis. In total, 101 DAP spots representing 77 unique proteins were identified by matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry. These proteins were allocated to 10 groups according to putative functions, which were mainly involved in carbon metabolism (23.4%), photosynthesis/respiration (22.1%) and stress/defence/detoxification (18.2%). Some drought stress-related proteins in NC47, such as enolase, 6-phosphogluconate dehydrogenase, Oxygen-evolving enhancer protein 2, fibrillin-like protein, 2-Cys peroxiredoxin BAS1 and 70-kDa heat shock protein, were more upregulated than those in CS. Multivariate principal components analysis revealed obvious differences between the control and treatments in both NC47 and CS, while cluster analysis showed that the DAPs displayed five and six accumulation patterns in NC47 and CS, respectively. Protein-protein interaction network analysis showed that some key DAPs, such as 2-Cys peroxiredoxin BAS1, RuBisCO large subunit-binding protein, 50S ribosomal protein L1, 6-phosphogluconate dehydrogenase, glyceraldehyde 3-phosphate dehydrogenase isoenzyme and 70-kDa heat shock protein, with upregulated accumulation in NC47, had complex interactions with other proteins related to amino acid metabolism, carbon metabolism, energy pathway, signal transduction, stress/defence/detoxification, protein folding and nucleotide metabolism. These proteins could play important roles in drought-stress tolerance and contribute to the relatively stronger drought tolerance of NC47. PMID

  13. Identification of tyrosine-phosphorylated proteins associated with metastasis and functional analysis of FER in human hepatocellular carcinoma cells

    Wang Yan

    2009-10-01

    identification of pTyr proteins and signaling pathways associated with HCC metastasis could provide useful information for selecting new molecular intervention targets. Moreover, FER might serve as a novel drug target in future HCC therapy.

  14. Identification of tyrosine-phosphorylated proteins associated with metastasis and functional analysis of FER in human hepatocellular carcinoma cells

    Aberrant activity of tyrosine-phosphorylated proteins is commonly associated with HCC metastasis. Cell signaling events driven by these proteins are implicated in numerous processes that alter cancer cell behavior. Exploring the activities and signaling pathways of these proteins in HCC metastasis may help in identifying new candidate molecules for HCC-targeted therapy. Hep3B (a nonmetastatic HCC cell line) and MHCC97H (a highly metastatic HCC cell line) were used in this study, and the tyrosine-phosphorylated proteins expressed in these cell lines were profiled by a phosphoproteomics technique based on LC-MS/MS. Protein-protein interaction and functional clustering analyses were performed to determine the activities of the identified proteins and the signaling pathways closely related to HCC metastasis. In both cell lines, a total of 247 phosphotyrosine (pTyr) proteins containing 281 pTyr sites were identified without any stimulation. The involvement of almost 30% of these in liver or liver cancer has not been reported previously. Biological process clustering analysis indicated that pTyr proteins involved in cell motility, migration, protein autophosphorylation, cell-cell communication, and antiapoptosis functions were overexpressed during metastasis. Pathway clustering analysis revealed that signaling pathways such as those involved in EGFR signaling, cytokine- and chemokine-mediated signal transduction, and the PI3K and JAK-STAT cascades were significantly activated during HCC metastasis. Moreover, noncanonical regulation of the JNK cascade might also provide new targets for HCC metastasis. After comparing the pTyr proteins that were differentially expressed during HCC cell metastasis, we selected FER, a nonreceptor tyrosine kinase, and validated its role in terms of both expression and function. The data confirmed that FER might play a critical role in the invasion and metastasis of HCC. The identification of pTyr proteins and signaling pathways associated

  15. Identification and characterization of cow's milk proteins from the rat intestinal lymph using a proteomic strategy.

    Li, Xundou; Wei, Lilong; Jia, Lulu; Li, Menglin; Zhu, Lisi; Liu, Liu; Gao, Youhe

    2013-09-01

    Food proteins were considered to be absorbed into the body after being digested to amino acids, dipeptides, and tripeptides. However, there are studies indicating that some proteins can pass through the intestinal epithelium under normal physiological conditions, perhaps not in sufficient quantities to be of nutritional importance, but in quantities that may be antigenically or biologically active. In the present study, rat intestinal lymph samples were collected using a modified lymph fistula rat model in fasting and cow's milk postprandial states. Low molecular weight proteins were enriched by ultrafiltration and differential solubilization, separated by 1D-SDS-PAGE, digested in-gel based on molecular weight, and identified using nano-LC-MS/MS. In the postprandial rat intestinal lymph, nine bovine-specific proteins (false discovery rate ≤1%) were identified in different molecular weight regions. Most proteins identified in lymph were highly abundant proteins in the milk, such as β-lactoglobulin and caseins. Seven of the nine identified bovine-specific proteins are allergens in milk. This strategy can be used to search for proteins that can enter the intestinal lymph and analyze their common features. Understanding the common features of these proteins might help to develop protein drugs taken orally, so that therapeutic proteins might embody fusion domains for cross-barrier transport or translocation. PMID:23836763

  16. Identification of Novel Tau Interactions with Endoplasmic Reticulum Proteins in Alzheimer’s Disease Brain

    Meier, Shelby; Bell, Michelle; Lyons, Danielle N.; Ingram, Alexandria; Chen, Jing; Gensel, John C.; Zhu, Haining; Nelson, Peter T.; Abisambra, Jose F.

    2016-01-01

    Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that is pathologically characterized by the formation of extracellular amyloid plaques and intraneuronal tau tangles. We recently identified that tau associates with proteins known to participate in endoplasmic reticulum (ER)-associated degradation (ERAD); consequently, ERAD becomes dysfunctional and causes neurotoxicity. We hypothesized that tau associates with other ER proteins, and that this association could also lead to cellular dysfunction in AD. Portions of human AD and non-demented age matched control brains were fractionated to obtain microsomes, from which tau was co-immunoprecipitated. Samples from both conditions containing tau and its associated proteins were analyzed by mass spectrometry. In total, we identified 91 ER proteins that co-immunoprecipitated with tau; 15.4% were common between AD and control brains, and 42.9% only in the AD samples. The remainder, 41.8% of the proteins, was only seen in the control brain samples. We identified a variety of previously unreported interactions between tau and ER proteins. These proteins participate in over sixteen functional categories, the most abundant being involved in RNA translation. We then determined that association of tau with these ER proteins was different between the AD and control samples. We found that tau associated equally with the ribosomal protein L28 but more robustly with the ribosomal protein P0. These data suggest that the differential association between tau and ER proteins in disease could reveal the pathogenic processes by which tau induces cellular dysfunction. PMID:26402096

  17. Systematic identification of yeast proteins extracted into model wine during aging on the yeast lees.

    Rowe, Jeffrey D; Harbertson, James F; Osborne, James P; Freitag, Michael; Lim, Juyun; Bakalinsky, Alan T

    2010-02-24

    Total protein and protein-associated mannan concentrations were measured, and individual proteins were identified during extraction into model wines over 9 months of aging on the yeast lees following completion of fermentations by seven wine strains of Saccharomyces cerevisiae. In aged wines, protein-associated mannan increased about 6-fold (+/-66%), while total protein only increased 2-fold (+/-20%), which resulted in a significantly greater protein-associated mannan/total protein ratio for three strains. A total of 219 proteins were identified among all wine samples taken over the entire time course. Of the 17 "long-lived" proteins detected in all 9 month samples, 13 were cell wall mannoproteins, and four were glycolytic enzymes. Most cytosolic proteins were not detected after 6 months. Native mannosylated yeast invertase was assayed for binding to wine tannin and was found to have a 10-fold lower affinity than nonglycosylated bovine serum albumin. Enrichment of mannoproteins in the aged model wines implies greater solution stability than other yeast proteins and the possibility that their contributions to wine quality may persist long after bottling. PMID:20108898

  18. Screening and Identification of Antigenic Proteins from the Hard Tick Dermacentor silvarum (Acari: Ixodidae).

    Zhang, Tiantian; Cui, Xuejiao; Zhang, Jincheng; Wang, Hui; Wu, Meng; Zeng, Hua; Cao, Yuanyuan; Liu, Jingze; Hu, Yonghong

    2015-12-01

    In order to explore tick proteins as potential targets for further developing vaccine against ticks, the total proteins of unfed female Dermacentor silvarum were screened with anti-D. silvarum serum produced from rabbits. The results of western blot showed that 3 antigenic proteins of about 100, 68, and 52 kDa were detected by polyclonal antibodies, which means that they probably have immunogenicity. Then, unfed female tick proteins were separated by 12% SDS-PAGE, and target proteins (100, 68, and 52 kDa) were cut and analyzed by LC-MS/MS, respectively. The comparative results of peptide sequences showed that they might be vitellogenin (Vg), heat shock protein 60 (Hsp60), and fructose-1, 6-bisphosphate aldolase (FBA), respectively. These data will lay the foundation for the further validation of antigenic proteins to prevent infestation and diseases transmitted by D. silvarum. PMID:26797451

  19. Identification of an amyloidogenic peptide from the Bap protein of Staphylococcus epidermidis.

    Lembré, Pierre; Vendrely, Charlotte; Martino, Patrick Di

    2014-01-01

    Biofilm associated proteins (Bap) are involved in the biofilm formation process of several bacterial species. The sequence STVTVT is present in Bap proteins expressed by many Staphylococcus species, Acinetobacter baumanii and Salmonella enterica. The peptide STVTVTF derived from the C-repeat of the Bap protein from Staphylococcus epidermidis was selected through the AGGRESCAN, PASTA, and TANGO software prediction of protein aggregation and formation of amyloid fibers. We characterized the self-assembly properties of the peptide STVTVTF by different methods: in the presence of the peptide, we observed an increase in the fluorescence intensity of Thioflavin T; many intermolecular β-sheets and fibers were spontaneously formed in peptide preparations as observed by infrared spectroscopy and atomic force microscopy analyses. In conclusion, a 7 amino acids peptide derived from the C-repeat of the Bap protein was sufficient for the spontaneous formation of amyloid fibers. The possible involvement of this amyloidogenic sequence in protein-protein interactions is discussed. PMID:24354773

  20. Proteomic analysis and identification of cell surface-associated proteins of Clostridium chauvoei.

    Jayaramaiah, Usharani; Singh, Neetu; Thankappan, Sabarinath; Mohanty, Ashok Kumar; Chaudhuri, Pallab; Singh, Vijendra Pal; Nagaleekar, Viswas Konasagara

    2016-06-01

    Blackleg is a highly fatal disease of cattle and sheep, caused by Clostridium chauvoei, a Gram positive, anaerobic, spore forming bacteria. Cell surface-associated proteins play a major role in inducing the protective immunity. However, the identity of a majority of cell surface-associated proteins of C. chauvoei is not known. In the present investigation, we have used SDS-PAGE, 2D-gel electrophoresis and Western blotting followed by mass spectrometry to identify cell surface-associated proteins of C. chauvoei. Among the identified proteins, which have shown to offer protective antigencity in other bacteria, Enolase, Chaperonin, Ribosomal protein L10, Glycosyl Hydrolase and Flavoprotein were characterized by sequencing and their overexpression in Escherichia coli. In conclusion, cell surface-associated proteins were identified using proteomic approach and the genes for the immunoreactive proteins were expressed, which may prove to be potential diagnostic or vaccine candidates. PMID:26971466

  1. Electrical Detection of C-Reactive Protein Using a Single Free-Standing, Thermally Controlled Piezoresistive Microcantilever for Highly Reproducible and Accurate Measurements

    Long-Sun Huang

    2013-07-01

    Full Text Available This study demonstrates a novel method for electrical detection of C-reactive protein (CRP as a means of identifying an infection in the body, or as a cardiovascular disease risk assay. The method uses a single free-standing, thermally controlled piezoresistive microcantilever biosensor. In a commonly used sensing arrangement of conventional dual cantilevers in the Wheatstone bridge circuit, reference and gold-coated sensing cantilevers that inherently have heterogeneous surface materials and different multilayer structures may yield independent responses to the liquid environmental changes of chemical substances, flow field and temperature, leading to unwanted signal disturbance for biosensing targets. In this study, the single free-standing microcantilever for biosensing applications is employed to resolve the dual-beam problem of individual responses in chemical solutions and, in a thermally controlled system, to maintain its sensor performance due to the sensitive temperature effect. With this type of single temperature-controlled microcantilever sensor, the electrical detection of various CRP concentrations from 1 µg/mL to 200 µg/mL was performed, which covers the clinically relevant range. Induced surface stresses were measured at between 0.25 N/m and 3.4 N/m with high reproducibility. Moreover, the binding affinity (KD of CRP and anti-CRP interaction was found to be 18.83 ± 2.99 µg/mL, which agreed with results in previous reported studies. This biosensing technique thus proves valuable in detecting inflammation, and in cardiovascular disease risk assays.

  2. Protein profile of human hepatocarcinoma cell line SMMC-7721: Identification and functional analysis

    Yi Feng; Zhong-Min Tian; Ming-Xi Wan; Zhao-Bin Zheng

    2007-01-01

    AIM: To investigate the protein profile of human hepatocarcinoma cell line SMMC-7721, to analyze the specific functions of abundant expressed proteins in the processes of hepatocarcinoma genesis, growth and metastasis, to identify the hepatocarcinoma-specific biomarkers for the early prediction in diagnosis, and to explore the new drug targets for liver cancer therapy.METHODS: Total proteins from human hepatocarcinomacell line SMMC-7721 were separated by two-dimensional electrophoresis (2DE). The silver-stained gel was analyzed by 2DE software Image Master 2D Elite.Interesting protein spots were identified by peptide mass fingerprinting based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS)and database searching.RESULTS: We obtained protein profile of human hepatocarcinoma cell line SMMC-7721. Among the twenty-one successfully identified proteins, mitofilin,endoplasmic reticulum protein ERp29, ubiquinol-cytochrome C reductase complex core protein Ⅰ,peroxisomal enoyl CoA hydratase, peroxiredoxin-4 and probable 3-oxoacid CoA transferase 1 precursor were the six novel proteins identified in human hepatocarcinoma cells or tissues. Specific functions of the identified heat-shock proteins were analyzed in detail, and the results suggested that these proteins might promote tumorigenesis via inhibiting cell death induced by several cancer-related stresses or via inhibiting apoptosis at multiple points in the apoptotic signal pathway. Other identified chaperones and cancer-related proteins were also analyzed.CONCLUSION: Based on the protein profile of SMMC-7721 cells, functional analysis suggests that the identified chaperones and cancer-related proteins have their own pathways to contribute to the tumorigenesis, tumor growth and metastasis of liver cancer. Furthermore, proteomic analysis is indicated to be feasible in the cancer study.

  3. Proteome analysis of barley seeds: Identification of major proteins from two-dimensional gels (pl 4-7)

    Østergaard, O.; Finnie, Christine; Laugesen, S.; Roepstorff, P.; Svensson, Birte

    2004-01-01

    Germination of monocotyledonous plants involves activation and de novo synthesis of enzymes that degrade cell walls and starch and mobilize stored endosperm reserves for embryo growth. Two-dimensional (2-D) gel electrophoresis and mass spectrometry were applied to identify major water-soluble pro......Germination of monocotyledonous plants involves activation and de novo synthesis of enzymes that degrade cell walls and starch and mobilize stored endosperm reserves for embryo growth. Two-dimensional (2-D) gel electrophoresis and mass spectrometry were applied to identify major water...... followed by matrix-assisted laser desorption/ionization-mass spectrometry-peptide map fingerprint analysis. Database searches using measured peptide masses resulted in 198 identifications of 103 proteins in 177 spots. These include housekeeping enzymes, chaperones, defence proteins (including enzyme...

  4. Identification of canine platelet proteins separated by differential detergent fractionation for nonelectrophoretic proteomics analyzed by Gene Ontology and pathways analysis

    Trichler SA

    2014-01-01

    , identification of potential treatment targets and biomarkers, and sets a new standard for the resting platelet proteome. Keywords: proteome, differential detergent fractionation, dog, functional analysis, protein

  5. Identification of a Highly Conserved Epitope on Avian Influenza Virus Non-Structural Protein 1 Using a Peptide Microarray

    Wen, Xuexia; Bao, Hongmei; Shi, Lin; Tao, Qimeng; Jiang, Yongping; Zeng, Xianying; Xu, Xiaolong; Tian, Guobin; Zheng, Shimin; Chen, Hualan

    2016-01-01

    Avian influenza virus (AIV) non-structural protein 1 (NS1) is a multifunctional protein. It is present at high levels in infected cells and can be used for AIV detection and diagnosis. In this study, we generated monoclonal antibody (MAb) D7 against AIV NS1 protein by immunization of BALB/c mice with purified recombinant NS1 protein expressed in Escherichia coli. Isotype determination revealed that the MAb was IgG1/κ-type subclass. To identify the epitope of the MAb D7, the NS1 protein was truncated into a total of 225 15-mer peptides with 14 amino acid overlaps, which were spotted for a peptide microarray. The results revealed that the MAb D7 recognized the consensus DAPF motif. Furthermore, the AIV NS1 protein with the DAPF motif deletion was transiently expressed in 293T cells and failed to react with MAb D7. Subsequently, the DAPF motif was synthesized with an elongated GSGS linker at both the C- and N-termini. The MAb D7 reacted with the synthesized peptide both in enzyme-linked immunosorbent assay (ELISA) and dot-blot assays. From these results, we concluded that DAPF motif is the epitope of MAb D7. To our knowledge, this is the first report of a 4-mer epitope on the NS1 protein of AIV that can be recognized by MAb using a peptide microarray, which is able to simplify epitope identification, and that could serve as the basis for immune responses against avian influenza. PMID:26938453

  6. Molecular identification of carnosine N-methyltransferase as chicken histamine N-methyltransferase-like protein (hnmt-like.

    Jakub Drozak

    Full Text Available Anserine (beta-alanyl-N(Pi-methyl-L-histidine, a naturally occurring derivative of carnosine (beta-alanyl-L-histidine, is an abundant constituent of skeletal muscles and brain of many vertebrates. Although it has long been proposed to serve as a proton buffer, radicals scavenger and transglycating agent, its physiological function remains obscure. The formation of anserine is catalyzed by carnosine N-methyltransferase which exhibits unknown molecular identity. In the present investigation, we have purified carnosine N-methyltransferase from chicken pectoral muscle about 640-fold until three major polypeptides of about 23, 26 and 37 kDa coeluting with the enzyme were identified in the preparation. Mass spectrometry analysis of these polypeptides resulted in an identification of histamine N-methyltransferase-like (HNMT-like protein as the only meaningful candidate. Analysis of GenBank database records indicated that the hnmt-like gene might be a paralogue of histamine N-methyltransferase gene, while comparison of their protein sequences suggested that HNMT-like protein might have acquired a new activity. Chicken HNMT-like protein was expressed in COS-7 cells, purified to homogeneity, and shown to catalyze the formation of anserine as confirmed by both chromatographic and mass spectrometry analysis. Both specificity and kinetic studies carried out on the native and recombinant enzyme were in agreement with published data. Particularly, several compounds structurally related to carnosine, including histamine and L-histidine, were tested as potential substrates for the enzyme, and carnosine was the only methyl group acceptor. The identification of the gene encoding carnosine N-methyltransferase might be beneficial for estimation of the biological functions of anserine.

  7. Identification of phosphorylated proteins in erythrocytes infected by the human malaria parasite Plasmodium falciparum

    Xia Dong

    2009-05-01

    Full Text Available Abstract Background Previous comparative proteomic analysis on Plasmodium falciparum isolates of different adhesion properties suggested that protein phosphorylation varies between isolates with different cytoadherence properties. But the extent and dynamic changes in phosphorylation have not been systematically studied. As a baseline for these future studies, this paper examined changes in the phosphoproteome of parasitized red blood cells (pRBC. Methods Metabolic labelling with [35S] methionine on pRBC and 2D gel electrophoresis (2-DE has previously been used to show the expression of parasite proteins and changes in protein iso-electric point (PI. 2-DE of different parasite strains was combined with immunoblotting using monoclonal antibodies specifically to phosphorylated serine/threonine and tyrosine, to obtain the phosphorylation profiles throughout the erythrocytic lifecycle. Affinity chromatography was used to purify/enrich phosphorylated proteins and these proteins from mature trophozoite stages which were identified using high-accuracy mass spectrometry and MASCOT search. Results 2D-immunoblots showed that P. falciparum infection greatly increased phosphorylation of a set of proteins in pRBC, the dominant size classes for phosphorylated tyrosine proteins were 95, 60, 50 and 30 kDa and for phosphorylated serine/threonine were 120, 95, 60, 50, 43, 40 and 30 kDa. The most abundant molecules from 2D-gel mapping of phosphorylated proteins in ItG infected RBCs were identified by MALDI-TOF. A proteomic overview of phosphorylated proteins in pRBC was achieved by using complementary phosphorylated protein enrichment techniques combined with nano-flow LC/MS/MS analysis and MASCOT MS/MS ions search with phosphorylation as variable modifications. The definite phosphoproteins of pRBC are reported and discussed. Conclusion Protein phosphorylation is a major process in P. falciparum-parasitized erythrocytes. Preliminary screens identified 170 P

  8. Mass spectrometric identification of proteins that interact through specific domains of the poly(A) binding protein

    Richardson, Roy; Denis, Clyde L; Zhang, Chongxu; Nielsen, Maria E O; Chiang, Yueh-Chin; Kierkegaard, Morten; Wang, Xin; Lee, Darren J; Andersen, Jens S.; Yao, Gang

    2012-01-01

    previously known direct interactions with specific PAB1 domains were either confirmed, delimited, or extended. The remaining nine proteins that interacted through a specific PAB1 domain were CBF5, SLF1, UPF1, CBC1, SSD1, NOP77, yGR250c, NAB6, and GBP2. In further study, UPF1, involved in nonsense...

  9. Identification of polymer surface adsorbed proteins implicated in pluripotent human embryonic stem cell expansion.

    Hammad, Moamen; Rao, Wei; Smith, James G W; Anderson, Daniel G; Langer, Robert; Young, Lorraine E; Barrett, David A; Davies, Martyn C; Denning, Chris; Alexander, Morgan R

    2016-08-16

    Improved biomaterials are required for application in regenerative medicine, biosensing, and as medical devices. The response of cells to the chemistry of polymers cultured in media is generally regarded as being dominated by proteins adsorbed to the surface. Here we use mass spectrometry to identify proteins adsorbed from a complex mouse embryonic fibroblast (MEF) conditioned medium found to support pluripotent human embryonic stem cell (hESC) expansion on a plasma etched tissue culture polystyrene surface. A total of 71 proteins were identified, of which 14 uniquely correlated with the surface on which pluripotent stem cell expansion was achieved. We have developed a microarray combinatorial protein spotting approach to test the potential of these 14 proteins to support expansion of a hESC cell line (HUES-7) and a human induced pluripotent stem cell line (ReBl-PAT) on a novel polymer (N-(4-Hydroxyphenyl) methacrylamide). These proteins were spotted to form a primary array yielding several protein mixture 'hits' that enhanced cell attachment to the polymer. A second array was generated to test the function of a refined set of protein mixtures. We found that a combination of heat shock protein 90 and heat shock protein-1 encourage elevated adherence of pluripotent stem cells at a level comparable to fibronectin pre-treatment. PMID:27466628

  10. Identification of karyopherin α1 and α7 interacting proteins in porcine tissue.

    Ki-Eun Park

    Full Text Available Specialized trafficking systems in eukaryotic cells serve a critical role in partitioning intracellular proteins between the nucleus and cytoplasm. Cytoplasmic proteins (including chromatin remodeling enzymes and transcription factors must gain access to the nucleus to exert their functions to properly program fundamental cellular events ranging from cell cycle progression to gene transcription. Knowing that nuclear import mediated by members of the karyopherin α family of transport receptors plays a critical role in regulating development and differentiation, we wanted to determine the identity of proteins that are trafficked by this karyopherin α pathway. To this end, we performed a GST pull-down assay using porcine orthologs of karyopherin α1 (KPNA1 and karyopherin α7 (KPNA7 and prey protein derived from porcine fibroblast cells and used a liquid chromatography and tandem mass spectrometry (LC-MS/MS approach to determine the identity of KPNA1 and KPNA7 interacting proteins. Our screen revealed that the proteins that interact with KPNA1 and KPNA7 are generally nuclear proteins that possess nuclear localization signals. We further validated two candidate proteins from this screen and showed that they are able to be imported into the nucleus in vivo and also interact with members of the karyopherin α family of proteins in vitro. Our results also reveal the utility of using a GST pull-down approach coupled with LC-MS/MS to screen for protein interaction partners in a non-traditional model system.

  11. Identification of a Major Lipid Droplet Protein in a Marine Diatom Phaeodactylum tricornutum.

    Yoneda, Kohei; Yoshida, Masaki; Suzuki, Iwane; Watanabe, Makoto M

    2016-02-01

    Various kinds of organisms, including microalgae, accumulate neutral lipids in distinct intracellular compartments called lipid droplets. Generally, lipid droplets are generated from the endoplasmic reticulum, and particular proteins localize on their surface. Some of these proteins function as structural proteins to prevent fusion between the lipid droplets, and the others could have an enzymatic role or might be involved in intracellular membrane trafficking. However, information about lipid droplet proteins in microalgae is scarce as compared with that in animals and land plants. We focused on the oil-producing, marine, pennate diatom Phaeodactylum tricornutum that forms lipid droplets during nitrogen deprivation and we investigated the proteins located on the lipid droplets. After 6 d of cultivation in a nitrate-deficient medium, the mature lipid droplets were isolated by sucrose density gradient centrifugation. Proteomic analyses revealed five proteins, with Stramenopile-type lipid droplet protein (StLDP) being the most abundant protein in the lipid droplet fraction. Although the primary sequence of StLDP did not have homology to any known lipid droplet proteins, StLDP had a central hydrophobic domain. This structural feature is also detected in oleosin of land plants and in lipid droplet surface protein (LDSP) of Nannochloropsis species. As a proline knot motif of oleosin, conservative proline residues existed in the hydrophobic domain. StLDP was up-regulated during nitrate deprivation, and fluctuations of StLDP expression levels corresponded to the size of the lipid droplets. PMID:26738549

  12. Identification of Protein Complex Associated with LYT1 of Trypanosoma cruzi

    C. Lugo-Caballero

    2013-01-01

    Full Text Available To carry out the intracellular phase of its life cycle, Trypanosoma cruzi must infect a host cell. Although a few molecules have been reported to participate in this process, one known protein is LYT1, which promotes lysis under acidic conditions and is involved in parasite infection and development. Alternative transcripts from a single LYT1 gene generate two proteins with differential functions and compartmentalization. Single-gene products targeted to more than one location can interact with disparate proteins that might affect their function and targeting properties. The aim of this work was to study the LYT1 interaction map using coimmunoprecipitation assays with transgenic parasites expressing LYT1 products fused to GFP. We detected several proteins of sizes from 8 to 150 kDa that bind to LYT1 with different binding strengths. By MS-MS analysis, we identified proteins involved in parasite infectivity (trans-sialidase, development (kDSPs and histones H2A and H2B, and motility and protein traffic (dynein and α- and β-tubulin, as well as protein-protein interactions (TPR-protein and kDSPs and several hypothetical proteins. Our approach led us to identify the LYT1 interaction profile, thereby providing insights into the molecular mechanisms that contribute to parasite stage development and pathogenesis of T. cruzi infection.

  13. Identification of intermediate species in protein-folding by quantitative analysis of amplitudes in time-domain fluorescence spectroscopy

    Anoop M Saxena; G Krishnamoorthy; Jayant B Udgaonkar; N Periasamy

    2007-03-01

    In protein-folding studies it is often required to differentiate a system with only two-states, namely the native (N) and unfolded (U) forms of the protein present at any condition of the solvent, from a situation wherein intermediate state(s) could also be present. This differentiation of a two-state from a multi-state structural transition is non-trivial when studied by the several steady-state spectroscopic methods that are popular in protein-folding studies. In contrast to the steady-state methods, time-resolved fluorescence has the capability to reveal the presence of heterogeneity of structural forms due to the `fingerprint’ nature of fluorescence lifetimes of various forms. In this work, we establish this method by quantitative analysis of amplitudes associated with fluorescence lifetimes in multiexponential decays. First, we show that we can estimate, accurately, the relative population of species from two-component mixtures of non-interacting molecules such as fluorescent dyes, peptides and proteins. Subsequently, we demonstrate, by analysing the amplitudes of fluorescence lifetimes which are controlled by fluorescence resonance energy transfer (FRET), that the equilibrium folding-unfolding transition of the small singledomain protein barstar is not a two-step process.

  14. A novel protein extraction method for identification of mycobacteria using MALDI-ToF MS.

    Adams, La'Tonzia L; Salee, Parichat; Dionne, Kim; Carroll, Karen; Parrish, Nicole

    2015-12-01

    Commercial extraction methods for identification of mycobacteria using MALDI-ToF MS are laborious and time consuming. We have developed a novel extraction method which utilizes a bead beater and zirconia/silica beads to significantly shorten the existing protocol. This novel method provides a more rapid extraction of mycobacteria versus the commercial standard. PMID:26392293

  15. Identification of quorum-sensing regulated proteins in the opportunistic pathogen Pseudomonas aeruginosa by proteomics

    Arevalo-Ferro, C.; Hentzer, Morten; Reil, G.; Gorg, A.; Kjelleberg, S.; Givskov, Michael Christian; Riedel, K.; Eberl, L.

    2003-01-01

    I double mutant by means of two-dimensional gel electrophoresis (2-DE). This analysis showed that the intensities of 23.7% of all detected protein spots differed more than 2.5-fold between the two strains. We only considered those protein spots truly QS regulated that were changed in the mutant in the......-characterized virulence factors. For one of the identified proteins, the serine protease PrpL, a biochemical assay was established to verify that expression of this factor is indeed QS regulated. Furthermore, it is shown that the quorum-sensing blocker C-30 specifically interferes with the expression of 67% of the AHL......-controlled protein spots of the surface fraction, confirming the high specificity of the compound. Importantly, 20 novel QS-regulated proteins were identified, many of which are involved in iron utilization, suggesting a link between quorum sensing and the iron regulatory system. Two of these proteins, PhuR and Has...

  16. Identification of CP12 as a Novel Calcium-Binding Protein in Chloroplasts

    Agostinho Gomes Rocha

    2013-08-01

    Full Text Available Calcium plays an important role in the regulation of several chloroplast processes. However, very little is still understood about the calcium fluxes or calcium-binding proteins present in plastids. Indeed, classical EF-hand containing calcium-binding proteins appears to be mostly absent from plastids. In the present study we analyzed the stroma fraction of Arabidopsis chloroplasts for the presence of novel calcium-binding proteins using 2D-PAGE separation followed by calcium overlay assay. A small acidic protein was identified by mass spectrometry analyses as the chloroplast protein CP12 and the ability of CP12 to bind calcium was confirmed with recombinant proteins. CP12 plays an important role in the regulation of the Calvin-Benson-Bassham Cycle participating in the assembly of a supramolecular complex between phosphoribulokinase and glyceraldehyde 3-phosphate dehydrogenase, indicating that calcium signaling could play a role in regulating carbon fixation.

  17. Identification of salt-tolerant Sinorhizobium sp. strain BL3 membrane proteins based on proteomics

    Tanthanuch, Waraporn; Tittabutr, Panlada; Mohammed, Shabaz; Matthiesen, Rune; Yamabhai, Montarop; Manassila, Monchai; Jensen, Ole Noerregaard; Boonkerd, Nantakorn; Teaumroong, Neung

    2010-01-01

    Sinorhizobium sp. BL3 is a salt-tolerant strain that can fix atmospheric nitrogen in symbiosis with leguminous host plants under salt-stress conditions. Since cell membranes are the first barrier to environmental change, it is interesting to explore the membrane proteins within this protective...... barrier under salt stress. The protein contents of membrane-enriched fractions obtained from BL3 were analyzed by nanoflow liquid chromatography interfaced with electrospray ionization tandem mass spectrometry. A total of 105 membrane proteins were identified. These proteins could be classified into 17...... functional categories, the two biggest of which were energy production and conversion, and proteins not in clusters of orthologous groups (COGs). In addition, a comparative analysis of membrane proteins between salt-stressed and non-stressed BL3 cells was conducted using a membrane enrichment method and off...

  18. Identification of autophagosome-associated proteins and regulators by quantitative proteomic analysis and genetic screens

    Dengjel, Jörn; Høyer-Hansen, Maria; Nielsen, Maria O;

    2012-01-01

    Autophagy is one of the major intracellular catabolic pathways, but little is known about the composition of autophagosomes. To study the associated proteins, we isolated autophagosomes from human breast cancer cells using two different biochemical methods and three stimulus types: amino acid...... deprivation or rapamycin or concanamycin A treatment. The autophagosome-associated proteins were dependent on stimulus, but a core set of proteins was stimulus-independent. Remarkably, proteasomal proteins were abundant among the stimulus-independent common autophagosome-associated proteins......, and the activation of autophagy significantly decreased the cellular proteasome level and activity supporting interplay between the two degradation pathways. A screen of yeast strains defective in the orthologs of the human genes encoding for a common set of autophagosome-associated proteins revealed several...

  19. Identification of tissue-specific DNA-protein binding sites by means of two-dimensional electrophoretic mobility shift assay display.

    Chernov, Igor P; Timchenko, Kira A; Akopov, Sergey B; Nikolaev, Lev G; Sverdlov, Eugene D

    2007-05-01

    We developed a technique of differential electrophoretic mobility shift assay (EMSA) display allowing identification of tissue-specific protein-binding sites within long genomic sequences. Using this approach, we identified 10 cell type-specific protein-binding sites (protein target sites [PTSs]) within a 137-kb human chromosome 19 region. In general, tissue-specific binding of proteins from different nuclear extracts by individual PTSs did not follow the all-or-nothing principle. Most often, PTS-protein complexes were formed in all cases, but they were different for different nuclear extracts used. PMID:17359930

  20. Identification of novel small molecule inhibitors of the XPA protein using in silico based screening

    Neher, Tracy M.; Shuck, Sarah C.; Liu, Jingyuan; Zhang, Jian-Ting; Turchi, John J.

    2010-01-01

    The nucleotide excision repair pathway catalyzes the removal of bulky adduct damage from DNA and requires the activity of more than 30 individual proteins and complexes. A diverse array of damage can be recognized and removed by the NER pathway including UV-induced adducts and intrastrand adducts induced by the chemotherapeutic compound cisplatin. The recognition of DNA damage is complex and involves a series of proteins including the xeroderma pigmentosum group A and C proteins and the UV-da...

  1. Identification and characterization of amylase binding protein C (AbpC) from Streptococcus mitis NS51

    Vorrasi, John; Chaudhuri, Biswendu; Haase, Elaine M.; Scannapieco, Frank A.

    2010-01-01

    A substantial proportion of the streptococcal species found in dental plaque biofilms are able to interact with the abundant salivary enzyme α-amylase. These streptococci produce proteins that specifically bind amylase. An important plaque species, Streptococcus mitis, secretes a 36-kDa amylase binding protein into the extracellular milieu. Proteins precipitated from S. mitis NS51 cell culture supernatant by the addition of purified salivary amylase were separated by SDS-PAGE, transferred to ...

  2. Identification of Novel O-Linked Glycosylated Toxoplasma Proteins by Vicia villosa Lectin Chromatography

    Wang, K.; Peng, Ed; Huang, AS; Xia, D; Vermont, SJ; Lentini, G; Lebrun, M; Wastling, JM; Bradley, PJ

    2016-01-01

    Toxoplasma gondii maintains its intracellular life cycle using an extraordinary arsenal of parasite-specific organelles including the inner membrane complex (IMC), rhoptries, micronemes, and dense granules. While these unique compartments play critical roles in pathogenesis, many of their protein constituents have yet to be identified. We exploited the Vicia villosa lectin (VVL) to identify new glycosylated proteins that are present in these organelles. Purification of VVL-binding proteins by...

  3. Identification and characterization of the RNA binding surface of the pentatricopeptide repeat protein

    Kobayashi, Keiko; Kawabata, Masuyo; Hisano, Keizo; Kazama, Tomohiko; Matsuoka, Ken; Sugita, Mamoru; Nakamura, Takahiro

    2011-01-01

    The expressions of chloroplast and mitochondria genes are tightly controlled by numerous nuclear-encoded proteins, mainly at the post-transcriptional level. Recent analyses have identified a large, plant-specific family of pentatricopeptide repeat (PPR) motif-containing proteins that are exclusively involved in RNA metabolism of organelle genes via sequence-specific RNA binding. A tandem array of PPR motifs within the protein is believed to facilitate the RNA interaction, although little is k...

  4. Identification of Fibronectin-Binding Proteins in Mycoplasma gallisepticum Strain R

    May, Meghan; Papazisi, Leka; Gorton, Timothy S.; Geary, Steven J.

    2006-01-01

    We have determined that virulent Mycoplasma gallisepticum strain Rlow is capable of binding the extracellular matrix protein fibronectin. Fibronectin was found to be present in M. gallisepticum Rlow protein extracts by Western blotting and peptide sequencing. Mycoplasma gallisepticum Rhigh, the attenuated, high-passage derivative of Rlow, is deficient in this ability. MGA_1199, the M. gallisepticum homologue of the cytadherence-associated protein P65 from Mycoplasma pneumoniae, and MGA_0928, ...

  5. Identification of the human papillomavirus E2 protein in genital tract tissues.

    Li, C. C.; Gilden, R. V.; Showalter, S D; Shah, K V

    1988-01-01

    A 27-kilodalton protein representing approximately 60% of the E2 open reading frame of human papillomavirus type 6 (HPV-6) was synthesized in a bacterial expression system. Affinity-purified polyclonal antibody to this protein detected the probable E2 gene product as a 50-kilodalton protein in most condylomas by Western blot (immunoblot) analysis. The E2-positive condylomas were associated with HPV-6, HPV-11, HPV-16, or unidentified HPVs.

  6. Bacteriophage M13 gene 2 protein: increasing its yield in infected cells, and identification and localization

    M13 gene 2 protein, implicated in the introduction of single-strand nicks into double-stranded closed circular (RFI) DNA molecules, was previously found in only very small quantities in infected cells. We now find that the gene 2 protein can be readily identified and its yield can be increased manyfold if infections are carried out at high temperature with either a gene 2 temperature-sensitive mutant or with wild type M13. Mechanisms are suggested by which the increased yield could result from subnormal function of the protein in these infections. Under conditions of high yield, the gene 2 protein is found largely in a rapidly sedimenting particulate fraction of unknown nature, where it constitutes as much as 36 percent of the leucine-labeled protein. The gene 2 protein can be readily solubilized from this particulate fraction with the ionic detergent sodium dodecyl sulfate (SDS) but no satisfactory solubilization method was found which keeps the protein in its native state. Attempts to demonstrate in vitro activity of the gene 2 protein, that is, nicking of M13 RFI DNA, were not successful. On the basis of SDS-polyacrylamide gel electrophoresis, we estimate that the gene 2 polypeptide has a molecular weight of approximately 40,000. In the course of the experiments on gene 2 protein, it was observed that the gene 3, as well as the gene 8, virion protein molecules were found predominantly in the cell inner membrane, supporting the idea that virion assembly is carried out there. The gene 4, nonvirion, protein also proved to be in the inner membrane, as would be expected if this protein plays a role in virion assembly

  7. Endogenous occurrence of protein S-guanylation in Escherichia coli: Target identification and genetic regulation.

    Tsutsuki, Hiroyasu; Jung, Minkyung; Zhang, Tianli; Ono, Katsuhiko; Ida, Tomoaki; Kunieda, Kohei; Ihara, Hideshi; Akaike, Takaaki; Sawa, Tomohiro

    2016-09-01

    8-Nitroguanosine 3',5'-cyclic monophosphate (8-nitro-cGMP) is a nitrated cGMP derivative formed in response to nitric oxide (NO) and reactive oxygen species (ROS). It can cause a post-translational modification (PTM) of protein thiols through cGMP adduction (protein S-guanylation). Accumulating evidence has suggested that, in mammals, S-guanylation of redox-sensor proteins may implicate in regulation of adaptive responses against ROS-associated oxidative stress. Occurrence as well as protein targets of S-guanylation in bacteria remained unknown, however. Here we demonstrated, for the first time, the endogenous occurrence of protein S-guanylation in Escherichia coli (E. coli). Western blotting using anti-S-guanylation antibody clearly showed that multiple proteins were S-guanylated in E. coli. Interestingly, some of those proteins were more intensely S-guanylated when bacteria were cultured under static culture condition than shaking culture condition. It has been known that E. coli is deficient of guanylate cyclase, an enzyme indispensable for 8-nitro-cGMP formation in mammals. We found that adenylate cyclase from E. coli potentially catalyzed 8-nitro-cGMP formation from its precursor 8-nitroguanosine 5'-triphosphate. More importantly, E. coli lacking adenylate cyclase showed significantly reduced formation of S-guanylated proteins. Our S-guanylation proteomics successfully identified S-guanylation protein targets in E. coli, including chaperons, ribosomal proteins, and enzymes which associate with protein synthesis, redox regulation and metabolism. Understanding of functional impacts for protein S-guanylation in bacterial signal transduction is necessary basis for development of potential chemotherapy and new diagnostic strategy for control of pathogenic bacterial infections. PMID:27473654

  8. Identification of protein tyrosine phosphatase 1B and casein as substrates for 124-v-Mos

    Stabel Silvia; Proikas-Cezanne Tassula; Riethmacher Dieter

    2002-01-01

    Abstract Background The mos proto-oncogene encodes a cytoplasmic serine/threonine-specific protein kinase with crucial function during meiotic cell division in vertebrates. Based on oncogenic amino acid substitutions the viral derivative, 124-v-Mos, displays constitutive protein kinase activity and functions independent of unknown upstream effectors of mos protein kinase. We have utilized this property of 124-v-Mos and screened for novel mos substrates in immunocomplex kinase assays in vitro....

  9. Identification and monitoring of host cell proteins by mass spectrometry combined with high performance immunochemistry testing.

    Katrin Bomans

    Full Text Available Biotherapeutics are often produced in non-human host cells like Escherichia coli, yeast, and various mammalian cell lines. A major focus of any therapeutic protein purification process is to reduce host cell proteins to an acceptable low level. In this study, various E. coli host cell proteins were identified at different purifications steps by HPLC fractionation, SDS-PAGE analysis, and tryptic peptide mapping combined with online liquid chromatography mass spectrometry (LC-MS. However, no host cell proteins could be verified by direct LC-MS analysis of final drug substance material. In contrast, the application of affinity enrichment chromatography prior to comprehensive LC-MS was adequate to identify several low abundant host cell proteins at the final drug substance level. Bacterial alkaline phosphatase (BAP was identified as being the most abundant host cell protein at several purification steps. Thus, we firstly established two different assays for enzymatic and immunological BAP monitoring using the cobas® technology. By using this strategy we were able to demonstrate an almost complete removal of BAP enzymatic activity by the established therapeutic protein purification process. In summary, the impact of fermentation, purification, and formulation conditions on host cell protein removal and biological activity can be conducted by monitoring process-specific host cell proteins in a GMP-compatible and high-throughput (> 1000 samples/day manner.

  10. Identification of proteins in promastigote and amastigote-like Leishmania using an immunoproteomic approach.

    Vinicio T S Coelho

    2012-01-01

    Full Text Available BACKGROUND: The present study aims to identify antigens in protein extracts of promastigote and amastigote-like Leishmania (Leishmania chagasi syn. L. (L. infantum recognized by antibodies present in the sera of dogs with asymptomatic and symptomatic visceral leishmaniasis (VL. METHODOLOGY/PRINCIPAL FINDINGS: Proteins recognized by sera samples were separated by two-dimensional electrophoresis (2DE and identified by mass spectrometry. A total of 550 spots were observed in the 2DE gels, and approximately 104 proteins were identified. Several stage-specific proteins could be identified by either or both classes of sera, including, as expected, previously known proteins identified as diagnosis, virulence factors, drug targets, or vaccine candidates. Three, seven, and five hypothetical proteins could be identified in promastigote antigenic extracts; while two, eleven, and three hypothetical proteins could be identified in amastigote-like antigenic extracts by asymptomatic and symptomatic sera, as well as a combination of both, respectively. CONCLUSIONS/SIGNIFICANCE: The present study represents a significant contribution not only in identifying stage-specific L. infantum molecules, but also in revealing the expression of a large number of hypothetical proteins. Moreover, when combined, the identified proteins constitute a significant source of information for the improvement of diagnostic tools and/or vaccine development to VL.

  11. Identification of the bacteriophage T5 dUTPase by protein sequence comparisons.

    Kaliman, A V

    1996-01-01

    It is shown by protein sequence comparisons that a 148 amino acid open reading frame (ORF 148) located at 67% of the bacteriophage T5 genome encodes a protein with strong similarity to known dUTPases. This protein contains five characteristic amino acid sequence motifs that are common to the dUTPase gene family. A similarity in size and high degree of sequence identity strongly suggest that the protein encoded by the ORF 148 of bacteriophage T5 is dUTPase. PMID:8988373

  12. Identification of differentially expressed proteins in SH-SY5Y cells treated with resveratrol

    Ying Wang; Zhong Dong; Hongyan Fan; Ming Chang; Guoyi Li; Linsen Hu

    2011-01-01

    To gain insight into the molecular mechanisms of resveratrol-mediated neuroprotection, two-dimensional difference gel electrophoresis in combination with matrix-assisted laser desorption ionization time-of-flight mass spectrometry was used to identify proteins differentially-expressed in SH-SY5Y cells treated with resveratrol. Compared with the control group, resveratrol treatment significantly affected the expression of four proteins: endoplasmic reticulum oxidoreductin 1-like protein alpha, p21-activated kinase 1, Archain 1, and T cell receptor beta chain. The former three were downregulated and the latter was upregulated. These proteins are primarily associated with endoplasmic reticulum stress, intracellular trafficking, and immune function.

  13. Proteomic identification of dysferlin-interacting protein complexes in human vascular endothelium

    Leung, Cleo; Utokaparch, Soraya; Sharma, Arpeeta; Yu, Carol; Abraham, Thomas; Borchers, Christoph [UBC James Hogg Research Centre, Institute for Heart and Lung Health, Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, British Columbia (Canada); University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia (Canada); Bernatchez, Pascal, E-mail: pbernatc@mail.ubc.ca [UBC James Hogg Research Centre, Institute for Heart and Lung Health, Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, British Columbia (Canada); University of Victoria - Genome BC Proteomics Centre, University of Victoria, Victoria, British Columbia (Canada)

    2011-11-18

    Highlights: Black-Right-Pointing-Pointer Bi-directional (inward and outward) movement of GFP-dysferlin in COS-7 cells. Black-Right-Pointing-Pointer Dysferlin interacts with key signaling proteins for transcytosis in EC. Black-Right-Pointing-Pointer Dysferlin mediates trafficking of vesicles carrying protein cargos in EC. -- Abstract: Dysferlin is a membrane-anchored protein known to facilitate membrane repair in skeletal muscles following mechanical injury. Mutations of dysferlin gene impair sarcolemma integrity, a hallmark of certain forms of muscular dystrophy in patients. Dysferlin contains seven calcium-dependent C2 binding domains, which are required to promote fusion of intracellular membrane vesicles. Emerging evidence reveal the unexpected expression of dysferlin in non-muscle, non-mechanically active tissues, such as endothelial cells, which cast doubts over the belief that ferlin proteins act exclusively as membrane repair proteins. We and others have shown that deficient trafficking of membrane bound proteins in dysferlin-deficient cells, suggesting that dysferlin might mediate trafficking of client proteins. Herein, we describe the intracellular trafficking and movement of GFP-dysferlin positive vesicles in unfixed reconstituted cells using live microscopy. By performing GST pull-down assays followed by mass spectrometry, we identified dysferlin binding protein complexes in human vascular endothelial cells. Together, our data further support the claims that dysferlin not only mediates membrane repair but also trafficking of client proteins, ultimately, help bridging dysferlinopathies to aberrant membrane signaling.

  14. Proteomic analysis of egg white heparin-binding proteins: towards the identification of natural antibacterial molecules.

    Guyot, Nicolas; Labas, Valérie; Harichaux, Grégoire; Chessé, Magali; Poirier, Jean-Claude; Nys, Yves; Réhault-Godbert, Sophie

    2016-01-01

    The chicken egg resists most environmental microbes suggesting that it potentially contains efficient antimicrobial molecules. Considering that some heparin-binding proteins in mammals are antibacterial, we investigated the presence and the antimicrobial activity of heparin-binding proteins from chicken egg white. Mass spectrometry analysis of the proteins recovered after heparin-affinity chromatography, revealed 20 proteins, including known antimicrobial proteins (avidin, lysozyme, TENP, ovalbumin-related protein X and avian bêta-defensin 11). The antibacterial activity of three new egg candidates (vitelline membrane outer layer protein 1, beta-microseminoprotein-like (LOC101750704) and pleiotrophin) was demonstrated against Listeria monocytogenes and/or Salmonella enterica Enteritidis. We showed that all these molecules share the property to inhibit bacterial growth through their heparin-binding domains. However, vitelline membrane outer layer 1 has additional specific structural features that can contribute to its antimicrobial potential. Moreover, we identified potential supplementary effectors of innate immunity including mucin 5B, E-selectin ligand 1, whey acidic protein 3, peptidyl prolyl isomerase B and retinoic acid receptor responder protein 2. These data support the concept of using heparin affinity combined to mass spectrometry to obtain an overview of the various effectors of innate immunity composing biological milieus, and to identify novel antimicrobial candidates of interest in the race for alternatives to antibiotics. PMID:27294500

  15. Proteomic identification of dysferlin-interacting protein complexes in human vascular endothelium

    Highlights: ► Bi-directional (inward and outward) movement of GFP-dysferlin in COS-7 cells. ► Dysferlin interacts with key signaling proteins for transcytosis in EC. ► Dysferlin mediates trafficking of vesicles carrying protein cargos in EC. -- Abstract: Dysferlin is a membrane-anchored protein known to facilitate membrane repair in skeletal muscles following mechanical injury. Mutations of dysferlin gene impair sarcolemma integrity, a hallmark of certain forms of muscular dystrophy in patients. Dysferlin contains seven calcium-dependent C2 binding domains, which are required to promote fusion of intracellular membrane vesicles. Emerging evidence reveal the unexpected expression of dysferlin in non-muscle, non-mechanically active tissues, such as endothelial cells, which cast doubts over the belief that ferlin proteins act exclusively as membrane repair proteins. We and others have shown that deficient trafficking of membrane bound proteins in dysferlin-deficient cells, suggesting that dysferlin might mediate trafficking of client proteins. Herein, we describe the intracellular trafficking and movement of GFP-dysferlin positive vesicles in unfixed reconstituted cells using live microscopy. By performing GST pull-down assays followed by mass spectrometry, we identified dysferlin binding protein complexes in human vascular endothelial cells. Together, our data further support the claims that dysferlin not only mediates membrane repair but also trafficking of client proteins, ultimately, help bridging dysferlinopathies to aberrant membrane signaling.

  16. Expression of SPEF2 During Mouse Spermatogenesis and Identification of IFT20 as an Interacting Protein

    Sironen, Anu; Hansen, Jeanette; Thomsen, Bo; Andersson, Magnus; Vilkki, Johanna; Toppari, Jorma; Kotaja, Noora

    2010-01-01

    the distal part of the sperm tail midpiece. Using yeast two hybrid assay and co-immunoprecipitation experiments we identified an interaction between SPEF2 and the intra-flagellar transport protein IFT20 in the testis. Furthermore, these two proteins co-localize in differentiating male germ cells...... during mouse spermatogenesis. SPEF2 mRNA and protein products appear to be localized both in germ cells and in Sertoli cells. In differentiating germ cells SPEF2 protein is localized in the Golgi complex, manchette, basal body, and midpiece of the sperm tail. In mature murine sperm SPEF2 is present in...

  17. A machine learning approach for the identification of odorant binding proteins from sequence-derived properties

    Suganthan PN

    2007-09-01

    Full Text Available Abstract Background Odorant binding proteins (OBPs are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as odorant presenters. Although several sequence based search methods have been exploited for protein family prediction, less effort has been devoted to the prediction of OBPs from sequence data and this area is more challenging due to poor sequence identity between these proteins. Results In this paper, we propose a new algorithm that uses Regularized Least Squares Classifier (RLSC in conjunction with multiple physicochemical properties of amino acids to predict odorant-binding proteins. The algorithm was applied to the dataset derived from Pfam and GenDiS database and we obtained overall prediction accuracy of 97.7% (94.5% and 98.4% for positive and negative classes respectively. Conclusion Our study suggests that RLSC is potentially useful for predicting the odorant binding proteins from sequence-derived properties irrespective of sequence similarity. Our method predicts 92.8% of 56 odorant binding proteins non-homologous to any protein in the swissprot database and 97.1% of the 414 independent dataset proteins, suggesting the usefulness of RLSC method for facilitating the prediction of odorant binding proteins from sequence information.

  18. Identification of immunogenic and virulence-associated Campylobacter jejuni proteins

    Nielsen, Lene Nørby; Luijkx, Thomas A.; Vegge, Christina Skovgaard;

    2012-01-01

    With the aim of identifying proteins important for host interaction and virulence, we have screened an expression library of NCTC 11168 Campylobacter jejuni genes for highly immunogenic proteins. A commercial C. jejuni open reading frame (ORF) library consisting of more than 1,600 genes was trans......With the aim of identifying proteins important for host interaction and virulence, we have screened an expression library of NCTC 11168 Campylobacter jejuni genes for highly immunogenic proteins. A commercial C. jejuni open reading frame (ORF) library consisting of more than 1,600 genes...

  19. Identification of a New Pyk2 Target Protein with Arf-GAP Activity

    Andreev, J; Simon, J.-P.; Sabatini, D D; J. Kam; Plowman, G; Randazzo, P. A.; Schlessinger, J

    1999-01-01

    Protein tyrosine kinase Pyk2 is activated by a variety of G-protein-coupled receptors and by extracellular signals that elevate intracellular Ca2+ concentration. We have identified a new Pyk2 binding protein designated Pap. Pap is a multidomain protein composed of an N-terminal α-helical region with a coiled-coil motif, followed by a pleckstrin homology domain, an Arf-GAP domain, an ankyrin homology region, a proline-rich region, and a C-terminal SH3 domain. We demonstrate that Pap forms a st...

  20. Identification of polyvalent protective immunogens from outer membrane proteins in Vibrio parahaemolyticus to protect fish against bacterial infection.

    Peng, Bo; Ye, Jin-Zhou; Han, Yi; Zeng, Li; Zhang, Jian-Ying; Li, Hui

    2016-07-01

    Vaccination is one of the most effective and economic way to prevent infectious diseases in aquaculture. The development of effective vaccines, however, is still limited, especially for polyvalent vaccines, which are against multiple species. With this regard, identification of polyvalent protective immunogens, serving as polyvalent vaccines, became a key step in vaccine development. In the current study, 17 outer membrane proteins from Vibrio parahaemolyticus were identified as immunogens. Further, four of the 17 proteins including VP2309, VP0887, VPA0548 and VP1019 were characterized as efficiently protective immunogens against V. parahaemolyticus' infection through passive and active immunizations in zebrafish. Importantly, these four proteins showed cross-protective capability against infections by Aeromonas hydrophila or/and Pseudomonas fluorescens, which shared similar epitopes with V. parahaemolyticus in homology of these proteins. Further investigation showed that the expression level of the four protective immunogens elevated in response to fish plasma in a dose-dependent manner. These results indicate that the four protective immunogens are polyvalent vaccine candidates in aquaculture. PMID:27071519

  1. Identification of secreted proteins regulated by cAMP in glioblastoma cells using glycopeptide capture and label-free quantification.

    Hill, Jennifer J; Moreno, Maria J; Lam, Jean C Y; Haqqani, Arsalan S; Kelly, John F

    2009-02-01

    Exposure of glioblastoma U87MG cells to a cAMP analog leads to a decrease in proliferation, invasion, and angiogenic potential. Here, we apply a label-free MS-based approach to identify formerly N-linked glycopeptides that change in abundance upon cAMP treatment. Over 150 unique glycopeptides in three biological repetitions were quantified, leading to the identification of 14 upregulated proteins and 21 downregulated proteins due to cAMP treatment. Of these, eight have been validated, either through comparison with microarray data or by Western blot. We estimate our ability to identify differentially expressed peptides at greater than 85% in a single biological repetition, while the analysis of multiple biological repetitions lowers the false positive rate to approximately 2%. Many of the proteins identified in this study are involved in cell signaling and some, such as Tenascin C, Cathepsin L, Neuroblastoma suppressor of tumorigenicity, and AXL/UFO tyrosine-protein kinase receptor, have been previously shown to be involved in glioblastoma progression. We also identify several semitryptic peptides that increase in abundance upon cAMP treatment, suggesting that cAMP regulates protease activity in these cells. Overall, these results demonstrate the benefits of using a highly specific enrichment method for quantitative proteomic experiments. PMID:19137551

  2. Large-scale identification of odorant-binding proteins and chemosensory proteins from expressed sequence tags in insects

    Zhang Yong-Jun

    2009-12-01

    Full Text Available Abstract Background Insect odorant binding proteins (OBPs and chemosensory proteins (CSPs play an important role in chemical communication of insects. Gene discovery of these proteins is a time-consuming task. In recent years, expressed sequence tags (ESTs of many insect species have accumulated, thus providing a useful resource for gene discovery. Results We have developed a computational pipeline to identify OBP and CSP genes from insect ESTs. In total, 752,841 insect ESTs were examined from 54 species covering eight Orders of Insecta. From these ESTs, 142 OBPs and 177 CSPs were identified, of which 117 OBPs and 129 CSPs are new. The complete open reading frames (ORFs of 88 OBPs and 123 CSPs were obtained by electronic elongation. We randomly chose 26 OBPs from eight species of insects, and 21 CSPs from four species for RT-PCR validation. Twenty two OBPs and 16 CSPs were confirmed by RT-PCR, proving the efficiency and reliability of the algorithm. Together with all family members obtained from the NCBI (OBPs or the UniProtKB (CSPs, 850 OBPs and 237 CSPs were analyzed for their structural characteristics and evolutionary relationship. Conclusions A large number of new OBPs and CSPs were found, providing the basis for deeper understanding of these proteins. In addition, the conserved motif and evolutionary analysis provide some new insights into the evolution of insect OBPs and CSPs. Motif pattern fine-tune the functions of OBPs and CSPs, leading to the minor difference in binding sex pheromone or plant volatiles in different insect Orders.

  3. Identification of brain-specific angiogenesis inhibitor 2 as an interaction partner of glutaminase interacting protein

    Highlights: → Brain-specific angiogenesis inhibitor 2 (BAI2) is a new partner protein for GIP. → BAI2 interaction with GIP was revealed by yeast two-hybrid assay. → Binding of BAI2 to GIP was characterized by NMR, CD and fluorescence. → BAI2 and GIP binding was mediated through the C-terminus of BAI2. -- Abstract: The vast majority of physiological processes in living cells are mediated by protein-protein interactions often specified by particular protein sequence motifs. PDZ domains, composed of 80-100 amino acid residues, are an important class of interaction motif. Among the PDZ-containing proteins, glutaminase interacting protein (GIP), also known as Tax Interacting Protein TIP-1, is unique in being composed almost exclusively of a single PDZ domain. GIP has important roles in cellular signaling, protein scaffolding and modulation of tumor growth and interacts with a number of physiological partner proteins, including Glutaminase L, β-Catenin, FAS, HTLV-1 Tax, HPV16 E6, Rhotekin and Kir 2.3. To identify the network of proteins that interact with GIP, a human fetal brain cDNA library was screened using a yeast two-hybrid assay with GIP as bait. We identified brain-specific angiogenesis inhibitor 2 (BAI2), a member of the adhesion-G protein-coupled receptors (GPCRs), as a new partner of GIP. BAI2 is expressed primarily in neurons, further expanding GIP cellular functions. The interaction between GIP and the carboxy-terminus of BAI2 was characterized using fluorescence, circular dichroism (CD) and nuclear magnetic resonance (NMR) spectroscopy assays. These biophysical analyses support the interaction identified in the yeast two-hybrid assay. This is the first study reporting BAI2 as an interaction partner of GIP.

  4. Identification of new interacting partners of the shuttling protein ubinuclein (Ubn-1)

    We have previously characterized ubinuclein (Ubn-1) as a NACos (Nuclear and Adherent junction Complex components) protein which interacts with viral or cellular transcription factors and the tight junction (TJ) protein ZO-1. The purpose of the present study was to get more insights on the binding partners of Ubn-1, notably those present in the epithelial junctions. Using an in vivo assay of fluorescent protein-complementation assay (PCA), we demonstrated that the N-terminal domains of the Ubn-1 and ZO-1 proteins triggered a functional interaction inside the cell. Indeed, expression of both complementary fragments of venus fused to the N-terminal parts of Ubn-1 and ZO-1 was able to reconstitute a fluorescent venus protein. Furthermore, nuclear expression of the chimeric Ubn-1 triggered nuclear localization of the chimeric ZO-1. We could localize this interaction to the PDZ2 domain of ZO-1 using an in vitro pull-down assay. More precisely, a 184-amino acid region (from amino acids 39 to 223) at the N-terminal region of Ubn-1 was responsible for the interaction with the PDZ2 domain of ZO-1. Co-imunoprecipitation and confocal microscopy experiments also revealed the tight junction protein cingulin as a new interacting partner of Ubn-1. A proteomic approach based on mass spectrometry analysis (MS) was then undertaken to identify further binding partners of GST-Ubn-1 fusion protein in different subcellular fractions of human epithelial HT29 cells. LYRIC (Lysine-rich CEACAM1-associated protein) and RACK-1 (receptor for activated C-kinase) proteins were validated as bona fide interacting partners of Ubn-1. Altogether, these results suggest that Ubn-1 is a scaffold protein influencing protein subcellular localization and is involved in several processes such as cell–cell contact signalling or modulation of gene activity.

  5. Identification of new interacting partners of the shuttling protein ubinuclein (Ubn-1)

    Lupo, Julien [Unit of Virus Host Cell Interactions (UVHCI), UMI 3265 UJF-EMBL-CNRS, 6 rue Jules Horowitz, BP 181, F-38042 Grenoble Cedex 9 (France); CHU de Grenoble, BP217, 38043 Grenoble Cedex 9 (France); Conti, Audrey [Unit of Virus Host Cell Interactions (UVHCI), UMI 3265 UJF-EMBL-CNRS, 6 rue Jules Horowitz, BP 181, F-38042 Grenoble Cedex 9 (France); Sueur, Charlotte [Unit of Virus Host Cell Interactions (UVHCI), UMI 3265 UJF-EMBL-CNRS, 6 rue Jules Horowitz, BP 181, F-38042 Grenoble Cedex 9 (France); CHU de Grenoble, BP217, 38043 Grenoble Cedex 9 (France); Coly, Pierre-Alain [Unit of Virus Host Cell Interactions (UVHCI), UMI 3265 UJF-EMBL-CNRS, 6 rue Jules Horowitz, BP 181, F-38042 Grenoble Cedex 9 (France); Coute, Yohann [CEA, IRTSV, Laboratoire Biologie a Grande Echelle, F-38054 Grenoble (France); INSERM, U1038, F-38054 Grenoble (France); Universite Joseph Fourier, Grenoble 1, F-38000 Grenoble Cedex 09 (France); Hunziker, Walter [Institute of Molecular and Cell Biology, Epithelial Cell Biology Laboratory, Singapore 1386473 (Singapore); Burmeister, Wim P. [Unit of Virus Host Cell Interactions (UVHCI), UMI 3265 UJF-EMBL-CNRS, 6 rue Jules Horowitz, BP 181, F-38042 Grenoble Cedex 9 (France); Germi, Raphaelle [Unit of Virus Host Cell Interactions (UVHCI), UMI 3265 UJF-EMBL-CNRS, 6 rue Jules Horowitz, BP 181, F-38042 Grenoble Cedex 9 (France); CHU de Grenoble, BP217, 38043 Grenoble Cedex 9 (France); Manet, Evelyne; Gruffat, Henri [INSERM U758, Unite de Virologie humaine, Lyon, 46 allee d' Italie F-69007 France (France); Ecole Normale Superieure de Lyon, F-69007 France (France); Universite Lyon1, F-69007, Lyon (France); and others

    2012-03-10

    We have previously characterized ubinuclein (Ubn-1) as a NACos (Nuclear and Adherent junction Complex components) protein which interacts with viral or cellular transcription factors and the tight junction (TJ) protein ZO-1. The purpose of the present study was to get more insights on the binding partners of Ubn-1, notably those present in the epithelial junctions. Using an in vivo assay of fluorescent protein-complementation assay (PCA), we demonstrated that the N-terminal domains of the Ubn-1 and ZO-1 proteins triggered a functional interaction inside the cell. Indeed, expression of both complementary fragments of venus fused to the N-terminal parts of Ubn-1 and ZO-1 was able to reconstitute a fluorescent venus protein. Furthermore, nuclear expression of the chimeric Ubn-1 triggered nuclear localization of the chimeric ZO-1. We could localize this interaction to the PDZ2 domain of ZO-1 using an in vitro pull-down assay. More precisely, a 184-amino acid region (from amino acids 39 to 223) at the N-terminal region of Ubn-1 was responsible for the interaction with the PDZ2 domain of ZO-1. Co-imunoprecipitation and confocal microscopy experiments also revealed the tight junction protein cingulin as a new interacting partner of Ubn-1. A proteomic approach based on mass spectrometry analysis (MS) was then undertaken to identify further binding partners of GST-Ubn-1 fusion protein in different subcellular fractions of human epithelial HT29 cells. LYRIC (Lysine-rich CEACAM1-associated protein) and RACK-1 (receptor for activated C-kinase) proteins were validated as bona fide interacting partners of Ubn-1. Altogether, these results suggest that Ubn-1 is a scaffold protein influencing protein subcellular localization and is involved in several processes such as cell-cell contact signalling or modulation of gene activity.

  6. Identification of protein partners in mycobacteria using a single-step affinity purification method.

    Przemysław Płociński

    Full Text Available Tuberculosis is a leading cause of death in developing countries. Efforts are being made to both prevent its spread and improve curability rates. Understanding the biology of the bacteria causing the disease, Mycobacterium tuberculosis (M. tuberculosis, is thus vital. We have implemented improved screening methods for protein-protein interactions based on affinity purification followed by high-resolution mass spectrometry. This method can be efficiently applied to both medium- and high-throughput studies aiming to characterize protein-protein interaction networks of tubercle bacilli. Of the 4 tested epitopes FLAG, enhanced green fluorescent protein (eGFP, protein A and haemagglutinin, the eGFP tag was found to be most useful on account of its easily monitored expression and its ability to function as a simultaneous tool for subcellular localization studies. It presents a relatively low background with cost-effective purification. RNA polymerase subunit A (RpoA was used as a model for investigation of a large protein complex. When used as bait, it co-purified with all remaining RNA polymerase core subunits as well as many accessory proteins. The amount of RpoA strongly correlated with the amount of quantification peptide used as part of the tagging system in this study (SH, making it applicable for semi-quantification studies. Interactions between the components of the RpoA-eGFP protein complex were further confirmed using protein cross-linking. Dynamic changes in the composition of protein complexes under induction of UV damage were observed when UvrA-eGFP expressing cells treated with UV light were used to co-purify UvrA interaction partners.

  7. Identification and Expression Analysis of Candidate Odorant-Binding Protein and Chemosensory Protein Genes by Antennal Transcriptome of Sitobion avenae.

    Xue, Wenxin; Fan, Jia; Zhang, Yong; Xu, Qingxuan; Han, Zongli; Sun, Jingrui; Chen, Julian

    2016-01-01

    Odorant-binding proteins (OBPs) and chemosensory proteins (CSPs) of aphids are thought to be responsible for the initial molecular interactions during olfaction that mediate detection of chemical signals. Analysis of the diversity of proteins involved comprises critical basic research work that will facilitate the development of sustainable pest control strategies. To help us better understand differences in the olfactory system between winged and wingless grain aphids, we constructed an antennal transcriptome from winged and wingless Sitobion avenae (Fabricius), one of the most serious pests of cereal fields worldwide. Among the 133,331 unigenes in the antennal assembly, 13 OBP and 5 CSP putative transcripts were identified with 6 OBP and 3 CSP sequences representing new S. avenae annotations. We used qPCR to examine the expression profile of these genes sets across S. avenae development and in various tissues. We found 7 SaveOBPs and 1 SaveCSP were specifically or significantly elevated in antennae compared with other tissues, and that some transcripts (SaveOBP8, SaveCSP2 and SaveCSP5) were abundantly expressed in the legs of winged or wingless aphids. The expression levels of the SaveOBPs and SaveCSPs varied depending on the developmental stage. Possible physiological functions of these genes are discussed. Further molecular and functional studies of these olfactory related genes will explore their potential as novel targets for controlling S. avenae. PMID:27561107

  8. Proteomic identification of differentially expressed proteins in sea cucumber Apostichopus japonicus coelomocytes after Vibrio splendidus infection.

    Zhang, Peng; Li, Chenghua; Li, Ye; Zhang, Pengjuan; Shao, Yina; Jin, Chunhua; Li, Taiwu

    2014-06-01

    Skin ulceration syndrome (SUS) was the main limitation in the development of Apostichopus japonicus culture industries. To better understand how Vibrio splendidus modulates SUS outbreak, the immune response of A. japonicus coelomocytes after the pathogen challenge were investigated through comparative proteomics approach, and differentially expressed proteins were screened and characterized in the present study. A total of 40 protein spots representing 30 entries were identified at 24, 72 and 96 h post-infection. Of these proteins, 32 were up-regulated and 8 were down-regulated in the V. splendidus challenged samples compared to those of control. These differentially expressed proteins were mainly classified into four categories by GO analysis, in which approximate 33% of proteins showed to be related to immunity response. The mRNA expression levels of 6 differentially expressed proteins were further validated by qRT-PCR. Similar protein-mRNA-level expression patterns were detected in genes of phospholipase (spot 4), G protein (spot 20), annexin (spot 30) and filamin (spot 31). Whilst the levels of ficolin (spot 12) and calumenin (spot 14) transcripts were not corresponded with those of their translation products. These data provide a new insight to understand the molecular immune mechanism of sea cucumber responsive towards pathogen infection. PMID:24468075

  9. Screening and identification of SUMP-proteins in sub-acute treatment with diazinon

    Rezvan Yazdian-Robati

    2015-12-01

    Full Text Available Objective(s:Small ubiquitin-like modifiers (SUMOs are a family of ubiquitin-related, proteins that are involved in a wide variety of signaling pathways. SUMOylation, as a vital post translational modification, regulate protein function in manycellular processes. Diazinon (DZN, an organophosphate insecticide, causses oxidative stress and subsequently programmed cell death in different tissues. The aim of this study was to evaluate the role and pattern of SUMO modificationas a defense mechanism against stress oxidative, in the heart tissuesof the DZN treated rats. Materials and Methods: Diazinon (15 mg/kg/day, corn oil (control were administered via gavageto male Wistar rats for four weeks. SUMO1 antibody was covalently crosslinked to protein A/G agarose. heart tissue lysate were added to agarosebeads,After isolation of target proteins(SUMO1- proteinSDS-PAGE gel electrophoresis was performed. Protein bands were identified using MALDI-TOF/TOF and MASCOT. Fold change of (DZN/Ctrl separated proteins was evaluated using UVband software (UVITEC, UK. Results:Our result showed that subacute exposure to DZN increased SUMOylationoffour key proteins involved in the metabolic process including; Acyl-CoA dehydrogenase, creatine kinase, glyceraldehyde-3-phosphate dehydrogenase and ATP synthase, in the heart tissue of animals .A probability value of  less than 0.05 was considered significant (P

  10. Identification of the immunogenic spore and vegetative proteins of Bacillus anthracis vaccine strain A16R.

    Xiankai Liu

    Full Text Available Immunoproteomics was used to screen the immunogenic spore and vegetative proteins of Bacillus anthracis vaccine strain A16R. The spore and vegetative proteins were separated by 2D gel electrophoresis and transferred to polyvinylidene difluoride membranes, and then western blotting was performed with rabbit immune serum against B.anthracis live spores. Immunogenic spots were cut and digested by trypsin. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry was performed to identify the proteins. As a result, 11 and 45 immunogenic proteins were identified in the spores and vegetative cells, respectively; 26 of which have not been reported previously. To verify their immunogenicity, 12 of the identified proteins were selected to be expressed, and the immune sera from the mice vaccinated by the 12 expressed proteins, except BA0887, had a specific western blot band with the A16R whole cellular lytic proteins. Some of these immunogenic proteins might be used as novel vaccine candidates themselves or for enhancing the protective efficacy of a protective-antigen-based vaccine.

  11. Identification of a novel zinc metalloprotease through a global analysis of Clostridium difficile extracellular proteins.

    Valeria Cafardi

    Full Text Available Clostridium difficile is a major cause of infectious diarrhea worldwide. Although the cell surface proteins are recognized to be important in clostridial pathogenesis, biological functions of only a few are known. Also, apart from the toxins, proteins exported by C. difficile into the extracellular milieu have been poorly studied. In order to identify novel extracellular factors of C. difficile, we analyzed bacterial culture supernatants prepared from clinical isolates, 630 and R20291, using liquid chromatography-tandem mass spectrometry. The majority of the proteins identified were non-canonical extracellular proteins. These could be largely classified into proteins associated to the cell wall (including CWPs and extracellular hydrolases, transporters and flagellar proteins. Seven unknown hypothetical proteins were also identified. One of these proteins, CD630_28300, shared sequence similarity with the anthrax lethal factor, a known zinc metallopeptidase. We demonstrated that CD630_28300 (named Zmp1 binds zinc and is able to cleave fibronectin and fibrinogen in vitro in a zinc-dependent manner. Using site-directed mutagenesis, we identified residues important in zinc binding and enzymatic activity. Furthermore, we demonstrated that Zmp1 destabilizes the fibronectin network produced by human fibroblasts. Thus, by analyzing the exoproteome of C. difficile, we identified a novel extracellular metalloprotease that may be important in key steps of clostridial pathogenesis.

  12. Identification of five serum protein markers for detection of ovarian cancer by antibody arrays.

    Weidong Jiang

    Full Text Available BACKGROUND: Protein and antibody arrays have emerged as a promising technology to study protein expression and protein function in a high-throughput manner. These arrays also represent a new opportunity to profile protein expression levels in cancer patients' samples and to identify useful biosignatures for clinical diagnosis, disease classification, prediction, drug development and patient care. We applied antibody arrays to discover a panel of proteins which may serve as biomarkers to distinguish between patients with ovarian cancer and normal controls. METHODOLOGY/PRINCIPAL FINDINGS: Using a case-control study design of 34 ovarian cancer patients and 53 age-matched healthy controls, we profiled the expression levels of 174 proteins using antibody array technology and determined the CA125 level using ELISA. The expression levels of those proteins were analyzed using 3 discriminant methods, including artificial neural network, classification tree and split-point score analysis. A panel of 5 serum protein markers (MSP-alpha, TIMP-4, PDGF-R alpha, and OPG and CA125 was identified, which could effectively detect ovarian cancer with high specificity (95% and high sensitivity (100%, with AUC =0.98, while CA125 alone had an AUC of 0.87. CONCLUSIONS/SIGNIFICANCE: Our pilot study has shown the promising set of 5 serum markers for ovarian cancer detection.

  13. Protein N- and C-Termini Identification Using Mass Spectrometry and Isotopic Labeling

    A new method for protein N- and C-terminal analysis using mass spectrometry is introduced. A novel stable isotopic labeling scheme has been developed to identify terminal peptides generated from an enzyme digestion for the determination of both N- and C-termini of the protein. This method works dire...

  14. Identification, recombinant production and structural characterization of four silk proteins from the Asiatic honeybee Apis cerana.

    Shi, Jiahai; Lua, Shixiong; Du, Ning; Liu, Xiangyang; Song, Jianxing

    2008-06-01

    Unlike silkworm and spider silks assembled from very large and repetitive fibrous proteins, the bee and ant silks were recently demonstrated to consist of four small and non-repetitive coiled-coil proteins. The design principle for this silk family remains largely unknown and so far no structural study is available on them in solution. The present study aimed to identify, express and characterize the Asiatic honeybee silk proteins using DLS, CD and NMR spectroscopy. Consequently, (1) four silk proteins are identified, with approximately 6, 10, 9 and 8% variations, respectively, from their European honeybee homologs. Strikingly, their recombinant forms can be produced in Escherichia coil with yields of 10-60 mg/l. (2) Despite containing approximately 65% coiled-coil sequences, four proteins have very low alpha-helix (9-27%) but unusually high random coil (45-56%) contents. Surprisingly, beta-sheet is also detected in four silk proteins (26-35%), implying the possible presence of beta-sheet in the bee and ant silks. (3) Four proteins lacking of the tight tertiary packing appear capable of interacting with each other weakly but this interaction triggers no significant formation of the tight tertiary packing. The study not only implies the promising potential to produce recombinant honeybee silk proteins for the development of various biomaterials; but also provides the first structural insight into the molecular mechanism underlying the formation of the coiled-coil silks. PMID:18394700

  15. Identification of differentially expressed proteins in poplar leaves induced by Marssonina brunnea f. Sp. Multigermtubi

    2008-01-01

    Black spot disease in poplar is a disease of the leaf caused by fungus. The major pathogen is Marssonina brunnea f. sp. multigermtubi.To date, little is known about the molecular mechanism of poplar (M. brunnea) interaction. In order to identify the proteins related to disease resistance and understand its molecular basis, the clone "NL895" (P. euramericana CL"NL895"), which is highly resistant to M.brunnea f. sp. multigermtubi, was used in this study. We used two-dimensional gel electrophoresis (2-DE) and mass spectrometry (MS) to identify the proteins in poplar leaves that were differentially expressed in response to black spot disease pathogen, M. brunnea f. sp. multigermtubi. Proteins extracted from poplar leaves at 0, 12, 24, 48, and 72 h after pathogen-inoculation were separated by 2-DE. About 500 reproducible protein spots were detected, of which 40 protein spots displayed differential expression in levels and were subjected to Matrix assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) followed by database searching. According to the function, the identified proteins were sorted into five categories, that is, protein synthesis, metabolism, defense response and unclassified proteins.

  16. IDENTIFICATION AND MOLECULAR CLONING OF XENOPUS LAEVIS SP22, A PROTEIN ASSOCIATED WITH FERTILIZATION IN MAMMALS

    ABSTRACTSP22 is a protein that has been characterized in rats where it has been related with fertility. SP22 homologues have been studied in mouse and man and a definitive role for the protein has not been assigned yet. By means of a polyclonal IgG to recombinant rat SP22...

  17. Fast identification of folded human protein domains expressed in E. coli suitable for structural analysis

    Schlegel Brigitte

    2004-03-01

    Full Text Available Abstract Background High-throughput protein structure analysis of individual protein domains requires analysis of large numbers of expression clones to identify suitable constructs for structure determination. For this purpose, methods need to be implemented for fast and reliable screening of the expressed proteins as early as possible in the overall process from cloning to structure determination. Results 88 different E. coli expression constructs for 17 human protein domains were analysed using high-throughput cloning, purification and folding analysis to obtain candidates suitable for structural analysis. After 96 deep-well microplate expression and automated protein purification, protein domains were directly analysed using 1D 1H-NMR spectroscopy. In addition, analytical hydrophobic interaction chromatography (HIC was used to detect natively folded protein. With these two analytical methods, six constructs (representing two domains were quickly identified as being well folded and suitable for structural analysis. Conclusion The described approach facilitates high-throughput structural analysis. Clones expressing natively folded proteins suitable for NMR structure determination were quickly identified upon small scale expression screening using 1D 1H-NMR and/or analytical HIC. This procedure is especially effective as a fast and inexpensive screen for the 'low hanging fruits' in structural genomics.

  18. Identification of procollagen promoter DNA-binding proteins: effects of dexamethasone

    Glucocorticoids selectively decrease procollagen synthesis by decreasing procollagen mRNA transcription. Dexamethasone coordinately decreased total cellular type I and type III procollagen mRNAs in mouse embryonic skin fibroblasts. Since sequence specific DNA-binding proteins are known to modulate eukaryotic gene expression the authors identified in mouse fibroblasts nuclear proteins which bind to types I and III procollagen promoter DNAs. Nuclear proteins were electrophoresed, blotted onto nitrocellulose and probed with 32P-end-labeled type I and type III procollagen promoter DNAs in the presence of equimolar amounts of 32P-end-labeled vector DNA. Differences in total DNA binding were noted by the densitometric scans of the nuclear proteins. Dexamethasone treatment enhanced total DNA binding. Increasing the NaCl concentration decreased the number of promoter DNA-binding proteins without altering the relative specificity for the promoter DNAs. Promoter DNA binding to nuclear proteins was also inhibited by increasing concentrations of E. coli DNA. The number of DNA-binding proteins was greater for type III procollagen promoter DNA. The effect of dexamethasone treatment on promoter DNA binding to nuclear proteins was determined

  19. Identification of a new class of lipid droplet-associated proteins in plants.

    Horn, Patrick J; James, Christopher N; Gidda, Satinder K; Kilaru, Aruna; Dyer, John M; Mullen, Robert T; Ohlrogge, John B; Chapman, Kent D

    2013-08-01

    Lipid droplets in plants (also known as oil bodies, lipid bodies, or oleosomes) are well characterized in seeds, and oleosins, the major proteins associated with their surface, were shown to be important for stabilizing lipid droplets during seed desiccation and rehydration. However, lipid droplets occur in essentially all plant cell types, many of which may not require oleosin-mediated stabilization. The proteins associated with the surface of nonseed lipid droplets, which are likely to influence the formation, stability, and turnover of this compartment, remain to be elucidated. Here, we have combined lipidomic, proteomic, and transcriptomic studies of avocado (Persea americana) mesocarp to identify two new lipid droplet-associated proteins, which we named LDAP1 and LDAP2. These proteins are highly similar to each other and also to the small rubber particle proteins that accumulate in rubber-producing plants. An Arabidopsis (Arabidopsis thaliana) homolog to LDAP1 and LDAP2, At3g05500, was localized to the surface of lipid droplets after transient expression in tobacco (Nicotiana tabacum) cells that were induced to accumulate triacylglycerols. We propose that small rubber particle protein-like proteins are involved in the general process of binding and perhaps the stabilization of lipid-rich particles in the cytosol of plant cells and that the avocado and Arabidopsis protein members reveal a new aspect of the cellular machinery that is involved in the packaging of triacylglycerols in plant tissues. PMID:23821652

  20. RegA protein of bacteriophage T4D: identification, schedule of synthesis, and autogenous regulation

    Proteins labeled with 14C-amino acids after infection of Escherichia coli B by T4 phage were examined by electrophoresis in the presence of sodium dodecyl sulfate. Four regA mutants (regA1, regA8, regA11, and regA15) failed to make a protein having a molecular weight of about 12,000, whereas mutant regA9 did make such a protein; regA15 produced a new, apparently smaller protein that was presumably a nonsense fragment, whereas regA11 produced a new, apparently larger protein. We conclude that the 12,000-dalton protein was the product of the regA gene. The molecular weight assignment rested primarily on our finding that the regA protein had the same mobility as the T4 gene 33 protein, which we identified by electrophoresis of whole-cell extracts of E. coli B infected with a gene 33 mutant, amE1120. Synthesis of wild-type regA protein occurred from about 3 to 11 min after infection at 370C in the DNA+ state and extended to about 20 min in the DNA- state. However, synthesis of the altered regA proteins of regA9, regA11, and regA15 occurred at a higher rate and for a much longer period in both the DNA+ and DNA- states; thus, the regA gene is autogenously regulated. At 300C, both regA9 and regA11 exhibited partial regA function by eventually shutting off the synthesis of many T4 early proteins; the specificity of this shutoff differed between these two mutants. We also obtainedevidence that the regA protein is not Stevens's polypeptide 3. As a technical point, we found that, when quantitating acid-precipitable radioactivity in protein samples containing sodium dodecyl sulfate, it was necessary to use 15 to 20% trichloroacetic acid; use of 5% acid, e.g., resulted in loss of over half of the labeled protein

  1. Purification, identification and preliminary crystallographic studies of a 2S albumin seed protein from Lens culinaris

    Gupta, Pankaj; Gaur, Vineet; Salunke, Dinakar M., E-mail: dinakar@nii.res.in [National Institute of Immunology, New Delhi 110 067 (India)

    2008-08-01

    A 2S albumin from L. culinaris was purified and crystallized and preliminary crystallographic studies were carried out. Lens culinaris (lentil) is a widely consumed high-protein-content leguminous crop. A 2S albumin protein (26.5 kDa) has been identified using NH{sub 2}-terminal sequencing from a 90% ammonium sulfate saturation fraction of total L. culinaris seed protein extract. The NH{sub 2}-terminal sequence shows very high homology to PA2, an allergy-related protein from Pisum sativum. The 2S albumin protein was purified using a combination of size-exclusion and ion-exchange chromatography. Crystals of the 2S seed albumin obtained using the hanging-drop vapour-diffusion method diffracted to 2.5 Å resolution and were indexed in space group P4{sub 1} (or P4{sub 3}), with unit-cell parameters a = b = 78.6, c = 135.2 Å.

  2. Identification of two functional nuclear localization signals in the capsid protein of duck circovirus

    The capsid protein (CP) of duck circovirus (DuCV) is the major immunogenic protein and has a high proportion of arginine residues concentrated at the N terminus of the protein, which inhibits efficient mRNA translation in prokaryotic expression systems. In this study, we investigated the subcellular distribution of DuCV CP expressed via recombinant baculoviruses in Sf9 cells and the DNA binding activities of the truncated recombinant DuCV CPs. The results showed that two independent bipartite nuclear localization signals (NLSs) situated at N-terminal 1–17 and 18–36 amino acid residue of the CP. Moreover, two expression level regulatory signals (ELRSs) and two DNA binding signals (DBSs) were also mapped to the N terminus of the protein and overlapped with the two NLSs. The ability of CP to bind DNA, coupled with the karyophilic nature of this protein, strongly suggests that it may be responsible for nuclear targeting of the viral genome.

  3. Purification, identification and preliminary crystallographic studies of a 2S albumin seed protein from Lens culinaris

    A 2S albumin from L. culinaris was purified and crystallized and preliminary crystallographic studies were carried out. Lens culinaris (lentil) is a widely consumed high-protein-content leguminous crop. A 2S albumin protein (26.5 kDa) has been identified using NH2-terminal sequencing from a 90% ammonium sulfate saturation fraction of total L. culinaris seed protein extract. The NH2-terminal sequence shows very high homology to PA2, an allergy-related protein from Pisum sativum. The 2S albumin protein was purified using a combination of size-exclusion and ion-exchange chromatography. Crystals of the 2S seed albumin obtained using the hanging-drop vapour-diffusion method diffracted to 2.5 Å resolution and were indexed in space group P41 (or P43), with unit-cell parameters a = b = 78.6, c = 135.2 Å

  4. Isolation and identification of histone H3 protein enriched in microvesicles secreted from cultured sebocytes.

    Nagai, Ayako; Sato, Takashi; Akimoto, Noriko; Ito, Akira; Sumida, Michihiro

    2005-06-01

    Secretion of microvesicles, defined as sebosomes, containing lipid particles were discovered for the first time in cultured sebocytes. After reaching confluency, hamster-cloned sebocytes released bubble-like microvesicles with a diameter range of 0.5-5.0 microm. They had a complex structure containing multiple Oil Red O-stainable particles. The lipid components of the microvesicles were large amounts of squalene both of hamster-cloned and rat primary cultured sebocytes. The microvesicles contained a concentrated 17-kDa cationic protein, which was soluble in sulfate buffer including Nonidet P-40 at pH 1.5. As the protein bound tightly to heparin-Sepharose and eluted with 1.5 M NaCl, it was further purified from a SDS-PAGE gel. Peptide sequencing identified the protein to be histone H3. Polyclonal antibodies against the purified protein detected the antigen in the microvesicles both in the hamster-cloned and rat primary cultured sebocytes. The antibodies demonstrated a distribution of the protein within the nucleus, cytoplasm, and precursor microvesicles. When a gene construct encoding histone H3-enhanced green fluorescent protein was transfected to the sebocytes, fluorescence of the fusion proteins was detected within both the nucleus and the precursor microvesicles of the cytoplasm. The distribution of heparan sulfate was evident in the microvesicles, and it suggested the possibility that the histone H3 protein was recruited and then condensed to the secreted microvesicles by the molecules. In addition, the 14-3-3 protein, which was detected in the microvesicles, also may help incorporate the histone H3 protein in the microvesicles because it can bind to both histone and lipid particles. PMID:15746254

  5. Direct identification of the Meloidogyne incognita secretome reveals proteins with host cell reprogramming potential.

    Stéphane Bellafiore

    2008-10-01

    Full Text Available The root knot nematode, Meloidogyne incognita, is an obligate parasite that causes significant damage to a broad range of host plants. Infection is associated with secretion of proteins surrounded by proliferating cells. Many parasites are known to secrete effectors that interfere with plant innate immunity, enabling infection to occur; they can also release pathogen-associated molecular patterns (PAMPs, e.g., flagellin that trigger basal immunity through the nematode stylet into the plant cell. This leads to suppression of innate immunity and reprogramming of plant cells to form a feeding structure containing multinucleate giant cells. Effectors have generally been discovered using genetics or bioinformatics, but M. incognita is non-sexual and its genome sequence has not yet been reported. To partially overcome these limitations, we have used mass spectrometry to directly identify 486 proteins secreted by M. incognita. These proteins contain at least segmental sequence identity to those found in our 3 reference databases (published nematode proteins; unpublished M. incognita ESTs; published plant proteins. Several secreted proteins are homologous to plant proteins, which they may mimic, and they contain domains that suggest known effector functions (e.g., regulating the plant cell cycle or growth. Others have regulatory domains that could reprogram cells. Using in situ hybridization we observed that most secreted proteins were produced by the subventral glands, but we found that phasmids also secreted proteins. We annotated the functions of the secreted proteins and classified them according to roles they may play in the development of root knot disease. Our results show that parasite secretomes can be partially characterized without cognate genomic DNA sequence. We observed that the M. incognita secretome overlaps the reported secretome of mammalian parasitic nematodes (e.g., Brugia malayi, suggesting a common parasitic behavior and a possible

  6. Proteomic identification of carbonylated proteins in F344 rat hippocampus after 1-bromopropane exposure

    1-Bromopropane (1-BP) is neurotoxic in both experimental animals and humans. Previous proteomic analysis of rat hippocampus implicated alteration of protein expression in oxidative stress, suggesting that oxidative stress plays a role in 1-BP-induced neurotoxicity. To understand this role at the protein level, we exposed male F344 rats to 1-BP at 0, 400, or 1000 ppm for 8 h/day for 1 week or 4 weeks by inhalation and quantitated changes in hippocampal protein carbonyl using a protein carbonyl assay, two-dimensional gel electrophoresis (2-DE), immunoblotting, and matrix-assisted laser-desorption ionization time-of-flight mass spectrometry (MALDI-TOF-TOF/MS). Hippocampal reactive oxygen species and protein carbonyl were significantly increased, demonstrating 1-BP-associated induction of oxidative stress and protein damage. MALDI-TOF-TOF/MS identified 10 individual proteins with increased carbonyl modification (p < 0.05; fold-change ≥ 1.5). The identified proteins were involved in diverse biological processes including glycolysis, ATP production, tyrosine catabolism, GTP binding, guanine degradation, and neuronal metabolism of dopamine. Hippocampal triosephosphate isomerase (TPI) activity was significantly reduced and negatively correlated with TPI carbonylation (p < 0.001; r = 0.83). Advanced glycation end-product (AGE) levels were significantly elevated both in the hippocampus and plasma, and hippocampal AGEs correlated negatively with TPI activity (p < 0.001; r = 0.71). In conclusion, 1-BP-induced neurotoxicity in the rat hippocampus seems to involve oxidative damage of cellular proteins, decreased TPI activity, and elevated AGEs. -- Highlights: ► 1-BP increases hippocampal ROS levels and hippocampal and plasma protein carbonyls. ► 1-BP increases TPI carbonylation and decreases TPI activity in the hippocampus. ► 1-BP increases hippocampal and plasma AGE levels.

  7. Identification of the Specific Interactors of the Human Lariat RNA Debranching Enzyme 1 Protein

    So Masaki

    2015-02-01

    Full Text Available In eukaryotes, pre-mRNA splicing is an essential step for gene expression. We have been analyzing post-splicing intron turnover steps in higher eukaryotes. Here, we report protein interaction between human Debranching enzyme 1 (hDbr1 and several factors found in the Intron Large (IL complex, which is an intermediate complex of the intron degradation pathway. The hDbr1 protein specifically interacts with xeroderma pigmentosum, complementeation group A (XPA-binding protein 2 (Xab2. We also attempted to identify specific interactors of hDbr1. Co-immunoprecipitation experiments followed by mass spectrometry analysis identified a novel protein as one of the specific interactors of hDbr1. This protein is well conserved among many species and shows the highest similarity to yeast Drn1, so it is designated as human Dbr1 associated ribonuclease 1 (hDrn1. hDrn1 directly interacts with hDbr1 through protein–protein interaction. Furthermore, hDrn1 shuttles between the nucleus and the cytoplasm, as hDbr1 protein does. These findings suggest that hDrn1 has roles in both the nucleus and the cytoplasm, which are highly likely to involve hDbr1.

  8. Identification and molecular characterization of numerous Histomonas meleagridis proteins using a cDNA library.

    Bilic, I; Leberl, M; Hess, M

    2009-04-01

    SUMMARYHistomonas meleagridis is a protozoan parasite of various galliform birds causing a type of enterohepatitis termed histomonosis or 'blackhead disease'. Due to the ban of chemotherapeutic substances and an increase in free-range poultry production, histomonosis is currently a re-emerging disease. So far limited molecular knowledge is available. In the present work, mRNAs coding for antigenic proteins of H. meleagridis were identified. For this purpose, a cDNA expression library was constructed from a mono-eukaryotic culture of H. meleagridis. The library was screened with polyclonal rabbit serum raised against purified H. meleagridis trophozoites. Polyclonal rabbit serum specifically recognized the same major H. meleagridis antigens as chicken and turkey sera originating from animal trials, but displayed a significantly lower bacteria-dependent background signal. After 2 rounds of screening, a total of 95 positive clones were sequenced. Bioinformatics analyses were performed on nucleotide and deduced amino acid sequences, identifying 37 unique clones. Based on the homology to other protozoan parasites, mostly Trichomonas vaginalis, the clones were grouped according to functional aspects: structural proteins, possible surface proteins, oxygen reducing proteins, ribosomal proteins, protein kinases and various other intracellular proteins. PMID:19154645

  9. Identification of oxidative stress-related proteins for predictive screening of hepatotoxicity using a proteomic approach.

    Yamamoto, Toshinori; Kikkawa, Rie; Yamada, Hiroshi; Horii, Ikuo

    2005-08-01

    We investigated the effects of three hepatotoxicants, acetaminophen (APAP), amiodarone (AD) and tetracycline (TC), on protein expression in primary cultured rat hepatocytes with toxicoproteomic approach, which is two-dimensional gel electrophoresis (2DE) and mass spectrometry. The objectives of this study were to search for alternative toxicity biomarkers which could be detected with high sensitivity prior to the appearance of morphological changes or alterations of analytical conventional biomarkers. The related proteins in the process of cell degeneration/necrosis such as cell death, lipid metabolism and lipid/carbohydrate metabolism were mainly affected under exposure to APAP, AD and TC, respectively. Among the differentially expressed proteins, several oxidative stress-related proteins were clearly identified after 24-hr exposure, even though they were not affected for 6-hr exposure. They were glutathione peroxidase (GPX) as a down-regulated protein as well as peroxiredoxin 1 (PRX1) and peroxiredoxin 2 (PRX2) as up-regulated proteins, which are known to serve as antioxidative enzymes in cells. These findings suggested that the focused proteins, GPX and PRXs, could be utilized as biomarkers of hepatotoxicity, and they were useful for setting high throughput screening methods to assess hepatotoxicity in the early stage of drug discovery. PMID:16141655

  10. Identification and analysis of phosphorylation status of proteins in dormant terminal buds of poplar

    Liu Chang-Cai

    2011-11-01

    Full Text Available Abstract Background Although there has been considerable progress made towards understanding the molecular mechanisms of bud dormancy, the roles of protein phosphorylation in the process of dormancy regulation in woody plants remain unclear. Results We used mass spectrometry combined with TiO2 phosphopeptide-enrichment strategies to investigate the phosphoproteome of dormant terminal buds (DTBs in poplar (Populus simonii × P. nigra. There were 161 unique phosphorylated sites in 161 phosphopeptides from 151 proteins; 141 proteins have orthologs in Arabidopsis, and 10 proteins are unique to poplar. Only 34 sites in proteins in poplar did not match well with the equivalent phosphorylation sites of their orthologs in Arabidopsis, indicating that regulatory mechanisms are well conserved between poplar and Arabidopsis. Further functional classifications showed that most of these phosphoproteins were involved in binding and catalytic activity. Extraction of the phosphorylation motif using Motif-X indicated that proline-directed kinases are a major kinase group involved in protein phosphorylation in dormant poplar tissues. Conclusions This study provides evidence about the significance of protein phosphorylation during dormancy, and will be useful for similar studies on other woody plants.

  11. Utilization of HPASubC for the Identification of Sinusoid-Specific Proteins in the Liver.

    Anene, Divine-Favour; Rosenberg, Avi Z; Kleiner, David E; Cornish, Toby C; Halushka, Marc K

    2016-05-01

    Mass spectrometry-based proteomes of human organs and tissues are powerful tools but fail to capture protein localization and expression at the cellular level. For example, the proteome signal in liver represents the combined protein expression across diverse cellular constituents that include hepatocytes, Kupffer cells, endothelial cells, and others. We utilized HPASubC and the Human Protein Atlas (HPA) to identify the sinusoidal component of protein liver expression to further subset and organize this homogeneous signal. We evaluated 51 109 liver images covering 13 197 proteins from the HPA and discovered 1054 proteins that were exclusive to sinusoidal cells. Sinusoidal staining patterns were identified in a Kupffer cell (n = 247), endothelial cell (n = 358), or lymphocyte (n = 86) specific pattern. Two-hundred and thirty-nine of these proteins were not present in the NextProt or Human Proteome Map liver data sets, potentially expanding our knowledge of the liver proteome. We additionally demonstrate unique endothelial cell expression patterns that distinguish between portal vein, hepatic artery, capillary sinusoids, and central vein regions. These findings significantly improve our understanding of the liver proteome with insight into the endothelial complexity across the hepatic vascular network. PMID:27005832

  12. G-protein activation, identification and immunolocalization in pheromone-sensitive sensilla trichodea of moths.

    Laue, M; Maida, R; Redkozubov, A

    1997-04-01

    Electrophysiological in situ recordings from pheromone-sensitive sensilla trichodea of Bombyx mori males with a recording pipette which contained G-protein-activating fluoride, showed receptor cell activity similar to that evoked by pheromone stimulation. This suggests that G-proteins might be physiologically active in olfactory sensilla of insects in situ. Biochemical experiments using specific antibodies revealed the presence of G-protein, belonging to the Gq family, in antennal preparations. Similar G-protein was identified in sensory hair preparations of Antheraea pernyi which contained only cuticle, sensillum lymph and dendritic material. Moreover, the absence of this G-protein in pure sensillum lymph preparations indicates its association with the receptive dendrites. This particular association could be shown by immunolabelling studies at the ultrastructural level. Strong specific labelling of membranes of receptor-cell dendrites was found in all types of olfactory sensilla present on the antenna of the silkmoths. Additional specific labelling of apical membranes of auxiliary cells, epidermal cells and membranes forming the axon/glia interface demonstrated that this G-protein is not restricted to the sensory dendrites and that other signal-transduction pathways could be present at these membranes. In summary, the experiments imply a participation of G-protein of the Gq family in signal transduction of olfactory receptor cells in moths. PMID:9042782

  13. Identification of Dynamic Changes in Proteins Associated with the Cellular Cytoskeleton after Exposure to Okadaic Acid

    Peter Roepstorff

    2013-05-01

    Full Text Available Exposure of cells to the diarrhetic shellfish poison, okadaic acid, leads to a dramatic reorganization of cytoskeletal architecture and loss of cell-cell contact. When cells are exposed to high concentrations of okadaic acid (100–500 nM, the morphological rearrangement is followed by apoptotic cell death. Okadaic acid inhibits the broad acting Ser/Thr protein phosphatases 1 and 2A, which results in hyperphosphorylation of a large number of proteins. Some of these hyperphosphorylated proteins are most likely key players in the reorganization of the cell morphology induced by okadaic acid. We wanted to identify these phosphoproteins and searched for them in the cellular lipid rafts, which have been found to contain proteins that regulate cytoskeletal dynamics and cell adhesion. By using stable isotope labeling by amino acids in cell culture cells treated with okadaic acid (400 nM could be combined with control cells before the isolation of lipid rafts. Protein phosphorylation events and translocations induced by okadaic acid were identified by mass spectrometry. Okadaic acid was shown to regulate the phosphorylation status and location of proteins associated with the actin cytoskeleton, microtubules and cell adhesion structures. A large number of these okadaic acid-regulated proteins have previously also been shown to be similarly regulated prior to cell proliferation and migration. Our results suggest that okadaic acid activates general cell signaling pathways that induce breakdown of the cortical actin cytoskeleton and cell detachment.

  14. iTRAQ technology-based identification of human peripheral serum proteins associated with depression.

    Wang, Q; Su, X; Jiang, X; Dong, X; Fan, Y; Zhang, J; Yu, C; Gao, W; Shi, S; Jiang, J; Jiang, W; Wei, T

    2016-08-25

    Clinical depression is one of the most common and debilitating psychiatric disorders and contributes to increased risks of disability and suicide. Differentially expressed serum proteins may serve as biomarkers for diagnosing depression. In this study, samples from depressed patients are aggregated into a pool (22×100μL serum was used) and samples from healthy volunteers are aggregated into the other pool (20×100μL serum was used). Isobaric tag for relative and absolute quantitation (iTRAQ) technology and tandem mass spectrometry were employed to screen for differentially expressed serum protein in two separate pools. We identified 472 proteins in the serum samples, and 154 of these presented differences in abundance between the depression and control groups. Ingenuity pathway analysis (IPA) was employed to identify the highest scoring proteins in signaling pathway networks. Finally, four differentially expressed proteins were validated by enzyme-linked immuno sorbent assay (ELISA). Proteomic studies revealed that levels of c-reaction protein (CRP), inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4), serum amyloid A1 (SAA1) and angiopoietin-like 3 (ANGPTL3) were substantially increased in depressed patients compared with the healthy control group. Therefore, these differentially expressed proteins may represent potential markers for the clinical diagnosis of depression. PMID:27268281

  15. Identification of sirtuin and its target as the ribosomal protein S4 in Lactobacillus paracasei.

    Atarashi, Hotaka; Kawasaki, Shinji; Niimura, Yoichi; Tanaka, Naoto; Okada, Sanae; Shiwa, Yuh; Endo, Akihito; Nakagawa, Junichi

    2016-01-01

    Sirtuin is a protein with an enzymatic activity of NAD(+)-dependent protein deacetylation. It was first identified in yeast and its homologous genes have been widely found in various organisms. In bacteria, sirtuin gene was first described as cobB, encoding a cobalamin processing enzyme; and later its potential involvement in regulating acetylation levels of metabolic enzymes, transcription factors, chemotactic proteins and others have been reported. In order to study its physiological relevance in probiotic lactic acid bacteria, we analyzed the whole genome of three L. paracasei strains. All strains tested had sirtuin homolog genes designated hereby as sirA, and one of them had an additional gene designated as sirB. Following confirmation of their coding sequences by individual gene cloning, corresponding recombinant proteins have been generated and purified. The enzymatic characterization revealed that the intrinsic NAD(+)-dependent deacetylation activity of LpSirA (protein encoded by sirA) is comparable to human SIRT1. Furthermore, by blocking sirtuin activity using nicotinamide in vivo, together with an in vitro deacetylation reaction using recombinant LpSirA, we identified one of the target proteins in the lactic acid bacteria as the 30S ribosomal protein S4 (rpsD product). PMID:27118078

  16. Identification of a redox-modulatory interaction between selenoprotein W and 14-3-3 protein.

    Jeon, Yeong Ha; Ko, Kwan Young; Lee, Jea Hwang; Park, Ki Jun; Jang, Jun Ki; Kim, Ick Young

    2016-01-01

    Selenoprotein W (SelW) contains a selenocysteine (Sec, U) in a conserved CXXU motif corresponding to the CXXC redox motif of thioredoxin, suggesting a putative redox function of SelW. We have previously reported that the binding of 14-3-3 protein to its target proteins, including CDC25B, Rictor and TAZ, is inhibited by the interaction of 14-3-3 protein with SelW. However, the binding mechanism is unclear. In this study, we sought to determine the binding site of SelW to understand the regulatory mechanism of the interaction between SelW and 14-3-3 and its biological effects. Phosphorylated Ser(pS) or Thr(pT) residues in RSXpSXP or RXXXp(S/T)XP motifs are well-known common 14-3-3-binding sites, but Thr41, Ser59, and T69 of SelW, which are computationally predicted to serve are phosphorylation sites, were neither phosphorylation sites nor sites involved in the interaction. A mutant SelW in which Sec13 is changed to Ser (U13S) was unable to interact with 14-3-3 protein and thus did not inhibit the interaction of 14-3-3 to other target proteins. However, other Cys mutants of SelW(C10S, C33S and C37S) normally interacted with 14-3-3 protein. The interaction of SelW to 14-3-3 protein was enhanced by diamide or H2O2 and decreased by dithiothreitol (DTT). Taken together, these findings demonstrate that the Sec of SelW is involved in its interaction with 14-3-3 protein and that this interaction is increased under oxidative stress conditions. Thus, SelW may have a regulatory function in redox cell signaling by interacting with 14-3-3 protein. PMID:26474786

  17. Comprehensive identification of LMW-GS genes and their protein products in a common wheat variety.

    Lee, Jong-Yeol; Beom, Hye-Rang; Altenbach, Susan B; Lim, Sun-Hyung; Kim, Yeong-Tae; Kang, Chon-Sik; Yoon, Ung-Han; Gupta, Ravi; Kim, Sun-Tae; Ahn, Sang-Nag; Kim, Young-Mi

    2016-05-01

    Although it is well known that low-molecular-weight glutenin subunits (LMW-GS) from wheat affect bread and noodle processing quality, the function of specific LMW-GS proteins remains unclear. It is important to find the genes that correspond to individual LMW-GS proteins in order to understand the functions of specific proteins. The objective of this study was to link LMW-GS genes and haplotypes characterized using well known Glu-A3, Glu-B3, and Glu-D3 gene-specific primers to their protein products in a single wheat variety. A total of 36 LMW-GS genes and pseudogenes were amplified from the Korean cultivar Keumkang. These include 11 Glu-3 gene haplotypes, two from the Glu-A3 locus, two from the Glu-B3 locus, and seven from the Glu-D3 locus. To establish relationships between gene haplotypes and their protein products, a glutenin protein fraction was separated by two-dimensional gel electrophoresis (2-DGE) and 17 protein spots were analyzed by N-terminal amino acid sequencing and tandem mass spectrometry (MS/MS). LMW-GS proteins were identified that corresponded to all Glu-3 gene haplotypes except the pseudogenes. This is the first report of the comprehensive characterization of LMW-GS genes and their corresponding proteins in a single wheat cultivar. Our approach will be useful to understand the contributions of individual LMW-GS to the end-use quality of flour. PMID:26882917

  18. Identification of novel surface-exposed proteins of Rickettsia rickettsii by affinity purification and proteomics.

    Wenping Gong

    Full Text Available Rickettsia rickettsii, the causative agent of Rocky Mountain spotted fever, is the most pathogenic member among Rickettsia spp. Surface-exposed proteins (SEPs of R. rickettsii may play important roles in its pathogenesis or immunity. In this study, R. rickettsii organisms were surface-labeled with sulfo-NHS-SS-biotin and the labeled proteins were affinity-purified with streptavidin. The isolated proteins were separated by two-dimensional electrophoresis, and 10 proteins were identified among 23 protein spots by electrospray ionization tandem mass spectrometry. Five (OmpA, OmpB, GroEL, GroES, and a DNA-binding protein of the 10 proteins were previously characterized as surface proteins of R. rickettsii. Another 5 proteins (Adr1, Adr2, OmpW, Porin_4, and TolC were first recognized as SEPs of R. rickettsii herein. The genes encoding the 5 novel SEPs were expressed in Escherichia coli cells, resulting in 5 recombinant SEPs (rSEPs, which were used to immunize mice. After challenge with viable R. rickettsii cells, the rickettsial load in the spleen, liver, or lung of mice immunized with rAdr2 and in the lungs of mice immunized with other rSEPs excluding rTolC was significantly lower than in mice that were mock-immunized with PBS. The in vitro neutralization test revealed that sera from mice immunized with rAdr1, rAdr2, or rOmpW reduced R. rickettsii adherence to and invasion of vascular endothelial cells. The immuno-electron microscopic assay clearly showed that the novel SEPs were located in the outer and/or inner membrane of R. rickettsii. Altogether, the 5 novel SEPs identified herein might be involved in the interaction of R. rickettsii with vascular endothelial cells, and all of them except TolC were protective antigens.

  19. Identification of differentially expressed plasma proteins in atherosclerotic patients with type 2 diabetes.

    Lepedda, Antonio Junior; Lobina, Omar; Rocchiccioli, Silvia; Nieddu, Gabriele; Ucciferri, Nadia; De Muro, Pierina; Idini, Michela; Nguyen, Hai Quy Tram; Guarino, Anna; Spirito, Rita; Formato, Marilena

    2016-07-01

    Besides hyperglycaemia and insulin resistance, several factors are associated with a higher cardiovascular risk in type 2 diabetes mellitus (T2DM), many of them being closely related to each other owing to common origins or pathways. The pathophysiological mechanisms underlying vascular dysfunctions in diabetes include reduced bioavailability of nitric oxide, increased ROS and prothrombotic factors production, as well as activation of receptors for advanced glycation end-products. These alterations contribute to create a pro-inflammatory/thrombotic state that ultimately leads to plaque formation and complication. This study aimed at identifying differentially expressed plasma proteins between T2DM and non-diabetic patients undergoing carotid endarterectomy, by means of two-dimensional electrophoresis coupled with LC-MS/MS. Before analysis, plasma samples were enriched in low-expression proteins through combinatorial hexapeptide ligand libraries. Both mono- and two-dimensional western blotting were performed for data validation. Differentially expressed proteins were mapped onto STRING v10 to build a protein-protein interaction network. Sixteen differentially expressed spots were identified with a high score. Among them, there were fibrinogen beta and gamma chains, complement C1r, C3 and C4-B subcomponents, alpha-1-antitrypsin (AAT), vitronectin and CD5 antigen-like. Protein-Protein interaction analysis evidenced a network among differentially expressed proteins in which vitronectin seems to represent a potentially pivotal node among fibrinolysis, complement dependent immune responses and inflammation in accordance with a number of in vitro and in vivo evidences for a contributory role of these proteins to the development of diabetic atherosclerosis. PMID:27037039

  20. Identification of a cAMP-dependent protein kinase in bovine and human follicular fluids.

    Yang, L S; Kadam, A L; Koide, S S

    1993-11-01

    A soluble protein kinase (PK) was purified from bovine and human follicular fluids (FF) by ultrafiltration through a PM-10 membrane followed by chromatography on heparin-agarose, DEAE-cellulose and cellulose phosphate columns. The PK phosphorylated calf thymus histones and endogenous FF proteins having estimated Mrs of 40, 62, 128 and 180 KD. cAMP enhanced PK activity; whereas protein kinase A (PKA)-inhibitor peptide blocked the activity. The present findings suggest that the enzyme is a cAMP-dependent PK. PMID:8118427