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        <title>Proteome Science - Most accessed articles</title>
        <link>http://www.proteomesci.com</link>
        <description>The most accessed research articles published by Proteome Science</description>
        <dc:date>2012-04-30T00:00:00Z</dc:date>
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                                <rdf:li rdf:resource="http://www.proteomesci.com/content/10/1/26" />
                                <rdf:li rdf:resource="http://www.proteomesci.com/content/10/1/21" />
                                <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/30" />
                                <rdf:li rdf:resource="http://www.proteomesci.com/content/8/1/8" />
                                <rdf:li rdf:resource="http://www.proteomesci.com/content/10/1/30" />
                                <rdf:li rdf:resource="http://www.proteomesci.com/content/4/1/15" />
                                <rdf:li rdf:resource="http://www.proteomesci.com/content/10/1/25" />
                                <rdf:li rdf:resource="http://www.proteomesci.com/content/10/1/24" />
                                <rdf:li rdf:resource="http://www.proteomesci.com/content/9/1/45" />
                                <rdf:li rdf:resource="http://www.proteomesci.com/content/10/1/29" />
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        <item rdf:about="http://www.proteomesci.com/content/10/1/26">
        <title>Proteomic profiling of the rat hypothalamus</title>
        <description>Background:
The hypothalamus plays a pivotal role in numerous mechanisms highly relevant to the maintenance of body homeostasis, such as the control of food intake and energy expenditure. Impairment of these mechanisms has been associated with the metabolic disturbances involved in the pathogenesis of obesity. Since rodent species constitute important models for metabolism studies and the rat hypothalamus is poorly characterized by proteomic strategies, we performed experiments aimed at constructing a two-dimensional gel electrophoresis (2-DE) profile of rat hypothalamus proteins.
Results:
As a first step, we established the best conditions for tissue collection and protein extraction, quantification and separation. The extraction buffer composition selected for proteome characterization of rat hypothalamus was urea 7 M, thiourea 2 M, CHAPS 4%, Triton X-100 0.5%, followed by a precipitation step with chloroform/methanol. Two-dimensional (2-D) gels of hypothalamic extracts from four-month-old rats were analyzed; the protein spots were digested and identified by using tandem mass spectrometry and database query using the protein search engine MASCOT. Eighty-six hypothalamic proteins were identified, the majority of which were classified as participating in metabolic processes, consistent with the finding of a large number of proteins with catalytic activity. Genes encoding proteins identified in this study have been related to obesity development.
Conclusion:
The present results indicate that the 2-DE technique will be useful for nutritional studies focusing on hypothalamic proteins. The data presented herein will serve as a reference database for studies testing the effects of dietary manipulations on hypothalamic proteome. We trust that these experiments will lead to important knowledge on protein targets of nutritional variables potentially able to affect the complex central nervous system control of energy homeostasis.</description>
        <link>http://www.proteomesci.com/content/10/1/26</link>
                <dc:creator>Amanda Pedroso</dc:creator>
                <dc:creator>Regina Watanabe</dc:creator>
                <dc:creator>Kelse Albuquerque</dc:creator>
                <dc:creator>Mônica Telles</dc:creator>
                <dc:creator>Maria Andrade</dc:creator>
                <dc:creator>Juliana Perez</dc:creator>
                <dc:creator>Maísa Sakata</dc:creator>
                <dc:creator>Mariana Lima</dc:creator>
                <dc:creator>Debora Estadella</dc:creator>
                <dc:creator>Claudia Nascimento</dc:creator>
                <dc:creator>Lila Oyama</dc:creator>
                <dc:creator>José Rosa</dc:creator>
                <dc:creator>Dulce Casarini</dc:creator>
                <dc:creator>Eliane Ribeiro</dc:creator>
                <dc:source>Proteome Science 2012, null:26</dc:source>
        <dc:date>2012-04-20T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1477-5956-10-26</dc:identifier>
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        <prism:issn>1477-5956</prism:issn>
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        <prism:startingPage>26</prism:startingPage>
        <prism:publicationDate>2012-04-20T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.proteomesci.com/content/10/1/21">
        <title>Proteomic analysis of effluents from perfused human heart for transplantation: identification of potential biomarkers for ischemic heart damage</title>
        <description>Background:
Biomarkers released from the heart at early stage of ischemia are very important to diagnosis of ischemic heart disease and salvage myocytes from death. Known specific markers for blood tests including CK-MB, cardiac troponin T (cTnT) and cardiac troponin I (cTnI) are released after the onset of significant necrosis instead of early ischemia. Thus, they are not good biomarkers to diagnose myocardial injury before necrosis happens. Therefore, in this study, we performed proteomic analysis on effluents from perfused human hearts of donors at different ischemic time.
Results:
After global ischemia for 0 min, 30 min and 60 min at 4&#176;C, effluents from five perfused hearts were analyzed respectively, by High performance liquid chromatography-Chip-Mass spectrometry (HPLC-Chip-MS) system. Total 196 highly reliable proteins were identified. 107 proteins were identified at the beginning of ischemia, 174 and 175 proteins at ischemic 30 min and ischemic 60 min, respectively. With the exception of cardiac troponin I and T, all known biomarkers for myocardial ischemia were detected in our study. However, there were four glycolytic enzymes and two targets of matrix metalloproteinase released significantly from the heart when ischemic time was increasing. These proteins were L-lactate dehydrogenase B(LDHB), glyceraldehyde-3-phosphate dehydrogenase, glucose-6-phosphate isomerase (GPI), phosphoglycerate mutase 2 (PGAM2), gelsolin and isoform 8 of titin. PGAM2, LDHB and titin were measured with enzyme-linked immunosorbent assays kits. The mean concentrations of LDHB and PGAM2 in samples showed an increasing trend when ischemic time was extending. In addition, 33% identified proteins are involved in metabolism. Protein to protein interaction network analysis showed glycolytic enzymes, such as isoform alpha-enolase of alpha-enolase, isoform 1 of triosephosphate isomerase and glyceraldehyde-3-phosphate dehydrogenase, had more connections than other proteins in myocardial metabolism during ischemia.
Conclusion:
It is the first time to use effluents of human perfused heart to study the proteins released during myocardial ischemia by HPLC-Chip-MS system. There might be many potential biomarkers for mild ischemic injury in myocardium, especially isoform 8 of titin and M-type of PGAM2 that are more specific in the cardiac tissue than in the others. Furthermore, glycolysis is one of the important conversions during early ischemia in myocardium. This finding may provide new insight into pathology and biology of myocardial ischemia, and potential diagnostic and therapeutic biomarkers.</description>
        <link>http://www.proteomesci.com/content/10/1/21</link>
                <dc:creator>Hong Li</dc:creator>
                <dc:creator>Jiyuan Li</dc:creator>
                <dc:creator>Ying Wang</dc:creator>
                <dc:creator>Tiande Yang</dc:creator>
                <dc:source>Proteome Science 2012, null:21</dc:source>
        <dc:date>2012-03-23T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1477-5956-10-21</dc:identifier>
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                <prism:publicationName>Proteome Science</prism:publicationName>
        <prism:issn>1477-5956</prism:issn>
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        <prism:startingPage>21</prism:startingPage>
        <prism:publicationDate>2012-03-23T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.proteomesci.com/content/6/1/30">
        <title>Sample prep for proteomics of breast cancer: proteomics and gene ontology reveal dramatic differences in protein solubilization preferences of radioimmunoprecipitation assay and urea lysis buffers</title>
        <description>Background:
An important step in the proteomics of solid tumors, including breast cancer, consists of efficiently extracting most of proteins in the tumor specimen. For this purpose, Radio-Immunoprecipitation Assay (RIPA) buffer is widely employed. RIPA buffer&apos;s rapid and highly efficient cell lysis and good solubilization of a wide range of proteins is further augmented by its compatibility with protease and phosphatase inhibitors, ability to minimize non-specific protein binding leading to a lower background in immunoprecipitation, and its suitability for protein quantitation.
Results:
In this work, the insoluble matter left after RIPA buffer extraction of proteins from breast tumors are subjected to another extraction step, using a urea-based buffer. It is shown that RIPA and urea lysis buffers fractionate breast tissue proteins primarily on the basis of molecular weights. The average molecular weight of proteins that dissolve exclusively in urea buffer is up to 60% higher than in RIPA.Gene Ontology (GO) and Directed Acyclic Graphs (DAG) are used to map the collective biological and biophysical attributes of the RIPA and urea proteomes. The Cellular Component and Molecular Function annotations reveal protein solubilization preferences of the buffers, especially the compartmentalization and functional distributions.It is shown that nearly all extracellular matrix proteins (ECM) in the breast tumors and matched normal tissues are found, nearly exclusively, in the urea fraction, while they are mostly insoluble in RIPA buffer. Additionally, it is demonstrated that cytoskeletal and extracellular region proteins are more soluble in urea than in RIPA, whereas for nuclear, cytoplasmic and mitochondrial proteins, RIPA buffer is preferred.Extracellular matrix proteins are highly implicated in cancer, including their proteinase-mediated degradation and remodelling, tumor development, progression, adhesion and metastasis. Thus, if they are not efficiently extracted by RIPA buffer, important information may be missed in cancer research.
Conclusion:
For proteomics of solid tumors, a two-step extraction process is recommended. First, proteins in the tumor specimen should be extracted with RIPA buffer. Second, the RIPA-insoluble material should be extracted with the urea-based buffer employed in this work.</description>
        <link>http://www.proteomesci.com/content/6/1/30</link>
                <dc:creator>Lambert Ngoka</dc:creator>
                <dc:source>Proteome Science 2008, null:30</dc:source>
        <dc:date>2008-10-24T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1477-5956-6-30</dc:identifier>
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                <prism:publicationName>Proteome Science</prism:publicationName>
        <prism:issn>1477-5956</prism:issn>
        <prism:volume>${item.volume}</prism:volume>
        <prism:startingPage>30</prism:startingPage>
        <prism:publicationDate>2008-10-24T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.proteomesci.com/content/8/1/8">
        <title>Improving the yeast two-hybrid system with permutated fusions proteins: the Varicella Zoster Virus interactome</title>
        <description>Background:
Yeast two-hybrid (Y2H) screens have been among the most powerful methods to detect and analyze protein-protein interactions. However, they suffer from a significant degree of false negatives, i.e. true interactions that are not detected, and to a certain degree from false positives, i.e. interactions that appear to take place only in the context of the Y2H assay. While the fraction of false positives remains difficult to estimate, the fraction of false negatives in typical Y2H screens is on the order of 70-90%. Here we present novel Y2H vectors that significantly decrease the number of false negatives and help to mitigate the false positive problem.
Results:
We have constructed two new vectors (pGBKCg and pGADCg) that allow us to make both C-terminal fusion proteins of DNA-binding and activation domains. Both vectors can be combined with existing vectors for N-terminal fusions and thus allow four different bait-prey combinations: NN, CC, NC, and CN. We have tested all ~4,900 pairwise combinations of the 70 Varicella-Zoster-Virus (VZV) proteins for interactions, using all possible combinations. About ~20,000 individual Y2H tests resulted in 182 NN, 89 NC, 149 CN, and 144 CC interactions. Overlap between screens ranged from 17% (NC-CN) to 43% (CN-CC). Performing four screens (i.e. permutations) instead of one resulted in about twice as many interactions and thus much fewer false negatives. In addition, interactions that are found in multiple combinations confirm each other and thus provide a quality score. This study is the first systematic analysis of such N- and C-terminal Y2H vectors.
Conclusions:
Permutations of C- and N-terminal Y2H vectors dramatically increase the coverage of interactome studies and thus significantly reduce the number of false negatives. We suggest that future interaction screens should use such vector combinations on a routine basis, not the least because they provide a built-in quality score for Y2H interactions that can provide a measure of reproducibility without additional assays.</description>
        <link>http://www.proteomesci.com/content/8/1/8</link>
                <dc:creator>Thorsten Stellberger</dc:creator>
                <dc:creator>Roman Hauser</dc:creator>
                <dc:creator>Armin Baiker</dc:creator>
                <dc:creator>Venkata Pothineni</dc:creator>
                <dc:creator>Jurgen Haas</dc:creator>
                <dc:creator>Peter Uetz</dc:creator>
                <dc:source>Proteome Science 2010, null:8</dc:source>
        <dc:date>2010-02-15T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1477-5956-8-8</dc:identifier>
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                <prism:publicationName>Proteome Science</prism:publicationName>
        <prism:issn>1477-5956</prism:issn>
        <prism:volume>${item.volume}</prism:volume>
        <prism:startingPage>8</prism:startingPage>
        <prism:publicationDate>2010-02-15T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.proteomesci.com/content/10/1/30">
        <title>Development stage-specific proteomic profiling uncovers small, lineage specific proteins most abundant in the Aspergillus fumigatus conidial proteome</title>
        <description>Background:
The pathogenic mold Aspergillus fumigatus is the most frequent infectious cause of death in severely immunocompromised individuals such as leukemia and bone marrow transplant patients.  Germination of inhaled conidia (asexual spores) in the host is critical for the initiation of infection, but little is known about the underlying mechanisms of this process.
Results:
To gain insights into early germination events and facilitate the identification of potential stage-specific biomarkers and vaccine candidates, we have used quantitative shotgun proteomics to elucidate patterns of protein abundance changes during early fungal development.  Four different stages were examined: dormant conidia, isotropically expanding conidia, hyphae in which germ tube emergence has just begun, and pre-septation hyphae. Cell lysates were subjected to LC-MS/MS followed by quantitative analysis using a modified spectral counting technique. This approach resulted in identification 375 unique gene products with high confidence. The most interesting discovery was the identification of 59 proteins enriched in dormant conidia including 35 proteins that have never been detected in the A. fumigatus conidial proteome such as signaling protein Pil1, chaperones BipA and calnexin, and transcription factor HapB.  Additionally we found many small, Aspergillus specific proteins of unknown function including 20 hypothetical proteins.  Thus, the most abundant protein, Grg1 (AFUA_5G14210), was also one of the smallest proteins detected in this study (M.W. 7,367).  Among previously characterized proteins were melanin pigment and pseurotin A biosynthesis enzymes, histones H3 and H4.1, and other proteins involved in conidiation and response to oxidative or hypoxic stress.  In contrast, expanding conidia, hyphae with early germ tubes, and pre-septation hyphae samples were enriched for proteins responsible for housekeeping functions, particularly translation, respiratory metabolism, amino acid and carbohydrate biosynthesis, and the tricarboxylic acid cycle.
Conclusions:
The observed temporal expression patterns suggest that the A. fumigatus conidia are dominated by small, lineage-specific proteins. Some of them may play key roles in host-pathogen interactions, signal transduction during conidial germination, or survival in hostile environments.</description>
        <link>http://www.proteomesci.com/content/10/1/30</link>
                <dc:creator>Moo-Jin Suh</dc:creator>
                <dc:creator>Natalie Fedorova</dc:creator>
                <dc:creator>Steven Cagas</dc:creator>
                <dc:creator>Susan Hastings</dc:creator>
                <dc:creator>Robert Fleischmann</dc:creator>
                <dc:creator>Scott Peterson</dc:creator>
                <dc:creator>David Perlin</dc:creator>
                <dc:creator>William Nierman</dc:creator>
                <dc:creator>Rembert Pieper</dc:creator>
                <dc:creator>Michelle Momany</dc:creator>
                <dc:source>Proteome Science 2012, null:30</dc:source>
        <dc:date>2012-04-30T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1477-5956-10-30</dc:identifier>
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                <prism:publicationName>Proteome Science</prism:publicationName>
        <prism:issn>1477-5956</prism:issn>
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        <prism:startingPage>30</prism:startingPage>
        <prism:publicationDate>2012-04-30T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.proteomesci.com/content/4/1/15">
        <title>Phosphoprotein analysis: from proteins to proteomes</title>
        <description>Characterization of protein modification by phosphorylation is one of the major tasks that have to be accomplished in the post-genomic era. Phosphorylation is a key reversible modification occurring mainly on serine, threonine and tyrosine residues that can regulate enzymatic activity, subcellular localization, complex formation and degradation of proteins. The understanding of the regulatory role played by phosphorylation begins with the discovery and identification of phosphoproteins and then by determining how, where and when these phosphorylation events take place. Because phosphorylation is a dynamic process difficult to quantify, we must at first acquire an inventory of phosphoproteins and characterize their phosphorylation sites. Several experimental strategies can be used to explore the phosphorylation status of proteins from individual moieties to phosphoproteomes. In this review, we will examine and catalogue how proteomics techniques can be used to answer specific questions related to protein phosphorylation. Hence, we will discuss the different methods for enrichment of phospho-proteins and -peptides, and then the various technologies for their identification, quantitation and validation.</description>
        <link>http://www.proteomesci.com/content/4/1/15</link>
                <dc:creator>Frederic Delom</dc:creator>
                <dc:creator>Eric Chevet</dc:creator>
                <dc:source>Proteome Science 2006, null:15</dc:source>
        <dc:date>2006-07-19T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1477-5956-4-15</dc:identifier>
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                <prism:publicationName>Proteome Science</prism:publicationName>
        <prism:issn>1477-5956</prism:issn>
        <prism:volume>${item.volume}</prism:volume>
        <prism:startingPage>15</prism:startingPage>
        <prism:publicationDate>2006-07-19T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.proteomesci.com/content/10/1/25">
        <title>Comparative proteomic analysis of early salt stress-responsive proteins in roots of SnRK2 transgenic rice</title>
        <description>Background:
The rice roots are highly salt-sensitive organ and primary root growth is rapidly suppressed by salt stress. Sucrose nonfermenting 1-related protein kinase2 (SnRK2) family is one of the key regulator of hyper-osmotic stress signalling in various plant cells. To understand early salt response of rice roots and identify SnRK2 signaling components, proteome changes of transgenic rice roots over-expressing OSRK1, a rice SnRK2 kinase were investigated.
Results:
Proteomes were analyzed by two-dimensional electrophoresis and protein spots were identified by LC-MS/MS from wild type and OSRK1 transgenic rice roots exposed to 150 mM NaCl for either 3 h or 7 h. Fifty two early salt -responsive protein spots were identified from wild type rice roots. The major up-regulated proteins were enzymes related to energy regulation, amino acid metabolism, methylglyoxal detoxification, redox regulation and protein turnover. It is noted that enzymes known to be involved in GA-induced root growth such as fructose bisphosphate aldolase and methylmalonate semialdehyde dehydrogenase were clearly down-regulated. In contrast to wild type rice roots, only a few proteins were changed by salt stress in OSRK1 transgenic rice roots. A comparative quantitative analysis of the proteome level indicated that forty three early salt-responsive proteins were magnified in transgenic rice roots at unstressed condition. These proteins contain single or multiple potential SnRK2 recognition motives. In vitro kinase assay revealed that one of the identified proteome, calreticulin is a good substrate of OSRK1.
Conclusions:
Our present data implicate that rice roots rapidly changed broad spectrum of energy metabolism upon challenging salt stress, and suppression of GA signaling by salt stress may be responsible for the rapid arrest of root growth and development. The broad spectrum of functional categories of proteins affected by over-expression of OSRK1 indicates that OSRK1 is an upstream regulator of stress signaling in rice roots. Enzymes involved in glycolysis, branched amino acid catabolism, dnaK-type molecular chaperone, calcium binding protein, Sal T and glyoxalase are potential targets of OSRK1 in rice roots under salt stress that need to be further investigated.</description>
        <link>http://www.proteomesci.com/content/10/1/25</link>
                <dc:creator>Myung Hee Nam</dc:creator>
                <dc:creator>Sun Mi Huh</dc:creator>
                <dc:creator>Kyung Mi Kim</dc:creator>
                <dc:creator>Woong June Park</dc:creator>
                <dc:creator>Jong Bok Seo</dc:creator>
                <dc:creator>Kun Cho</dc:creator>
                <dc:creator>Dool Yi Kim</dc:creator>
                <dc:creator>Beom Gi Kim</dc:creator>
                <dc:creator>In Sun Yoon</dc:creator>
                <dc:source>Proteome Science 2012, null:25</dc:source>
        <dc:date>2012-03-31T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1477-5956-10-25</dc:identifier>
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                <prism:publicationName>Proteome Science</prism:publicationName>
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        <prism:startingPage>25</prism:startingPage>
        <prism:publicationDate>2012-03-31T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.proteomesci.com/content/10/1/24">
        <title>Proteomics analysis of differentially expressed proteins in chicken trachea and kidney after infection with the highly virulent and attenuated coronavirus infectious bronchitis virus in vivo</title>
        <description>Background:
Infectious bronchitis virus (IBV) is first to be discovered coronavirus which is probably endemic in all regions with intensive impact on poultry production. In this study, we used two-dimensional gel electrophoresis (2-DE) and two-dimensional fluorescence difference gel electrophoresis (2-DIGE), coupled with matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry (MALDI-TOF/TOF-MS), to explore the global proteome profiles of trachea and kidney tissues from chicken at different stages infected in vivo with the highly virulent ck/CH/LDL/97I P5 strain of infectious bronchitis virus (IBV) and the embryo-passaged, attenuated ck/CH/LDL/97I P115 strain.
Results:
Fifty-eight differentially expressed proteins were identified. Results demonstrated that some proteins which had functions in cytoskeleton organization, anti-oxidative stress, and stress response, showed different change patterns in abundance from chicken infected with the highly virulent ck/CH/LDL/97I P5 strain and those given the embryo-passaged, attenuated P115 stain. In addition, the dynamic transcriptional alterations of 12 selected proteins were analyzed by the real-time RT-PCR, and western blot analysis confirmed the change in abundance of heat shock proteins (HSP) beta-1, annexin A2, and annexin A5.
Conclusions:
The proteomic alterations described here may suggest that these changes to protein expression correlate with IBV virus&apos; virulence in chicken, hence provides valuable insights into the interactions of IBV with its host and may also assist with investigations of the pathogenesis of IBV and other coronavirus infections.</description>
        <link>http://www.proteomesci.com/content/10/1/24</link>
                <dc:creator>Zhongzan Cao</dc:creator>
                <dc:creator>Zongxi Han</dc:creator>
                <dc:creator>Yuhao Shao</dc:creator>
                <dc:creator>Xiaoli Liu</dc:creator>
                <dc:creator>Junfeng Sun</dc:creator>
                <dc:creator>Demin Yu</dc:creator>
                <dc:creator>Xiangang Kong</dc:creator>
                <dc:creator>Shengwang Liu</dc:creator>
                <dc:source>Proteome Science 2012, null:24</dc:source>
        <dc:date>2012-03-31T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1477-5956-10-24</dc:identifier>
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                <prism:publicationName>Proteome Science</prism:publicationName>
        <prism:issn>1477-5956</prism:issn>
        <prism:volume>${item.volume}</prism:volume>
        <prism:startingPage>24</prism:startingPage>
        <prism:publicationDate>2012-03-31T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.proteomesci.com/content/9/1/45">
        <title>Antibody cross-linking and target elution protocols used for immunoprecipitation significantly modulate signal-to-noise ratio in downstream 2D-PAGE analysis</title>
        <description>Background:
Immunoprecipitation and subsequent 2D-PAGE/mass spectrometry are powerful tools to study post-translational protein modifications. Often disregarded in this workflow is the impact of the chemical cross-linker upon antibody affinity, as well as incomplete elution of primary target protein in buffers commonly used in 2D-PAGE. This may impede detection of non-abundant protein isoforms.
Results:
Here we have compared cross-linking of antibodies to Dynabeads&#174; Protein A by using DMP or BS3, as well as the efficiency of various target elution buffers prior to 2D-PAGE separation. BS3 cross-linking generally resulted in less non-specific binding than DMP, whereas DMP cross-linking gave overall higher yield of target protein. Regardless of the cross-linker used, incomplete elution of target protein was observed with conventional glycine- or urea-based buffers. Conversely, complete elution was obtained with 2% hot SDS and subsequent dilution in urea buffer containing 4% CHAPS, to 0.2% final SDS yielded perfectly focused gels suitable for mass spectrometry analysis.
Conclusion:
Careful choice of Ig cross-linker as well as efficient elution of target protein in SDS prior to downstream 2D-PAGE may be key factors to analyze low-abundance proteins enriched by magnetic bead immunoprecipitation.</description>
        <link>http://www.proteomesci.com/content/9/1/45</link>
                <dc:creator>Mirta Sousa</dc:creator>
                <dc:creator>Kristian Steen</dc:creator>
                <dc:creator>Lars Hagen</dc:creator>
                <dc:creator>Geir Slupphaug</dc:creator>
                <dc:source>Proteome Science 2011, null:45</dc:source>
        <dc:date>2011-08-04T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1477-5956-9-45</dc:identifier>
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        <prism:startingPage>45</prism:startingPage>
        <prism:publicationDate>2011-08-04T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.proteomesci.com/content/10/1/29">
        <title>A Proteomic analysis of liver after ethanol binge in chronically ethanol treated rats</title>
        <description>Background:
Binge ethanol in rats after chronic ethanol exposure augments necrosis and steatosis in the liver.  In this study, two-dimensional gel electrophoresis proteomic profiles of liver of control, chronic ethanol, control-binge, and chronic ethanol- binge were compared.
Results:
The proteomic analysis identified changes in protein abundance among the groups. The levels of carbonic anhydrase isoform 3 (CA3) were decreased after chronic ethanol and decreased further after chronic ethanol-binge. Ethanol binge alone in control rats had no effect on this protein suggesting its possible role in increased susceptibility to injury by binge after chonic ethanol treatment. A protein spot, in which both cytosolic isocitrate dehydrogenase (IDH1) and glutamine synthetase (GS) were identified, showed a small decrease after chronic ethanol binge but western blot demonstrated significant decrease only for glutamine synthetase in chronic ethanol treated rats. Level of gluathione S-transferase mu isoform (GSTM1) increased after chronic ethanol but the levels were lower after chronic ethanol-binge compared to chronic ethanol treatment. The protein levels of basic form protein disulfide isomerase associated protein 3 (PDIA3) were significantly decreased and acidic forms were increased after chronic ethanol- binge but not in chronic ethanol treated rats or ethanol binge in control rats.
Conclusions:
Given the role of CA3, IDH1 and GST in oxidative stress; PDIA3 in protein quality, apoptosis and DNA repair; and decreased glutamine synthetase as a sensitive marker of pericentral liver injury; this proteome study of chronic ethanol-binge rat model identifies these proteins for the first time as molecular targets with potential role in progression of liver injury by binge ethanol drinking.</description>
        <link>http://www.proteomesci.com/content/10/1/29</link>
                <dc:creator>Annayya Aroor</dc:creator>
                <dc:creator>Roy Lowery</dc:creator>
                <dc:creator>Ricardo Restrepo</dc:creator>
                <dc:creator>Brian Mooney</dc:creator>
                <dc:creator>Shivendra Shukla</dc:creator>
                <dc:source>Proteome Science 2012, null:29</dc:source>
        <dc:date>2012-04-30T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1477-5956-10-29</dc:identifier>
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                <prism:publicationName>Proteome Science</prism:publicationName>
        <prism:issn>1477-5956</prism:issn>
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        <prism:startingPage>29</prism:startingPage>
        <prism:publicationDate>2012-04-30T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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