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		<title>Proteome Science - Latest articles</title>
		<link>http://www.proteomesci.com</link>
		<description>The latest articles from Proteome Science (ISSN 1477-5956) published by 
				
				BioMed Central
		</description>
        <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
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            <rdf:Seq>
            
				    <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/12"/>			    
            
				    <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/11"/>			    
            
				    <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/10"/>			    
            
				    <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/9"/>			    
            
				    <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/8"/>			    
            
				    <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/7"/>			    
            
				    <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/6"/>			    
            
				    <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/5"/>			    
            
				    <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/4"/>			    
            
				    <rdf:li rdf:resource="http://www.proteomesci.com/content/6/1/3"/>			    
            
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		<item rdf:about="http://www.proteomesci.com/content/6/1/12">
            
            <title>Proteome alteration induced by hTERT transfection of human fibroblast cells</title>
			<description>Background:
Telomerase confers cellular immortality by elongating telomeres, thereby circumventing the Hayflick limit. Extended-life-span cells have been generated by transfection with the human telomerase reverse transcriptase (hTERT) gene. hTERT transfected cell lines may be of outstanding interest to monitor the effect of drugs targeting the telomerase activity. The incidence of hTERT gene transfection at the proteome level is a prerequisite to that purpose. The effect of the transfection has been studied on the proteome of human fibroblast (WI38). Cytosolic and nuclear fractions of WI38 cells, empty vector transfected WI38 (WI38-HPV) and hTERT WI38 cells were submitted to a 2D-DIGE (Two-Dimensional Differential In-Gel Electrophoresis) analysis. Only spots that had a similar abundance in WI38 and WI38-HPV, but were differentially expressed in WI38 hTERT were selected for MS identification. This method directly points to the proteins linked with the hTERT expression. Number of false positive differentially expressed proteins has been excluded by using control WI38-HPV cells. The proteome alteration induced by hTERT WI38 transfection should be taken into account in subsequent use of the cell line for anti-telomerase drugs evaluation.
Results:
2D-DIGE experiment shows that 57 spots out of 2246 are significantly differentially expressed in the cytosolic fraction due to hTERT transfection, and 38 were confidently identified. In the nuclear fraction, 44 spots out of 2172 were selected in the differential proteome analysis, and 14 were identified. The results show that, in addition to elongating telomeres, hTERT gene transfection has other physiological roles, among which an enhanced ER capacity and a potent cell protection against apoptosis.
Conclusion:
We show that the methodology reduces the complexity of the proteome analysis and highlights proteins implicated in other processes than telomere elongation. hTERT induced proteome changes suggest that telomerase expression enhances natural cell repair mechanisms and stress resistance probably required for long term resistance of immortalized cells. Thus, hTERT transfected cells can not be only consider as an immortal equivalent to parental cells but also as cells which are over-resistant to stresses. These findings are the prerequisite for any larger proteomics aiming to evaluate anti-telomerase drugs proteome alteration and thus therapeutics induced cell reactions.</description>
			<link>http://www.proteomesci.com/content/6/1/12</link>
			
			 	<dc:creator>Gabriel D Mazzucchelli, Val&#233;rie Gabelica, Nicolas Smargiasso, Maximilien Fl&#233;ron, Wilson Ashimwe, Fr&#233;d&#233;ric Rosu, Marie-Claire De Pauw-Gillet, Jean-Fran&#231;ois Riou and Edwin De Pauw</dc:creator>
			
			<dc:source>Proteome Science 2008, 6:12</dc:source>
			<dc:date>2008-04-17</dc:date>
			<dc:identifier>doi:10.1186/1477-5956-6-12</dc:identifier>
			
			
							
					<prism:publicationName>Proteome Science</prism:publicationName>
					
			
							
					<prism:issn>1477-5956</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>12</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-04-17</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.proteomesci.com/content/6/1/11">
            
            <title>Proteomic analysis of the EhV-86 virion</title>
			<description>Background:
Emiliania huxleyi virus 86 (EhV-86) is the type species of the genus Coccolithovirus within the family Phycodnaviridae. The fully sequenced 407,339 bp genome is predicted to encode 473 protein coding sequences (CDSs) and is the largest Phycodnaviridae sequenced to date. The majority of EhV-86 CDSs exhibit no similarity to proteins in the public databases.
Results:
Proteomic analysis by 1-DE and then LC-MS/MS determined that the virion of EhV-86 is composed of at least 28 proteins, 23 of which are predicted to be membrane proteins. Besides the major capsid protein, putative function can be assigned to 4 other components of the virion: two lectin proteins, a thioredoxin and a serine/threonine protein kinase.
Conclusion:
This study represents the first steps toward the identification of the protein components that make up the EhV-86 virion. Aside from the major capsid protein, whose function in the virion is well known and defined, the nature of the other proteins suggest roles involved with viral budding, caspase activation, signalling, anti-oxidation, virus adsorption and host range determination.</description>
			<link>http://www.proteomesci.com/content/6/1/11</link>
			
			 	<dc:creator>Michael J Allen, Julie A Howard, Kathryn S Lilley and William H Wilson</dc:creator>
			
			<dc:source>Proteome Science 2008, 6:11</dc:source>
			<dc:date>2008-03-17</dc:date>
			<dc:identifier>doi:10.1186/1477-5956-6-11</dc:identifier>
			
			
							
					<prism:publicationName>Proteome Science</prism:publicationName>
					
			
							
					<prism:issn>1477-5956</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>11</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-03-17</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.proteomesci.com/content/6/1/10">
            
            <title>Detection and identification of NAP-2 as a biomarker in hepatitis B-related hepatocellular carcinoma by proteomic approach</title>
			<description>Background:
A lack of sensitive and specific biomarkers is a major reason for the high rate of Primary hepatocellular carcinoma (HCC)-related mortality. The aim of this study was to investigate potential proteomic biomarkers specific for HCC.
Methods:
81 patients with hepatitis B-related HCC and 33 healthy controls were randomly divided into a training set (33 HCC, 33 controls) and a testing set (48 HCC, 33 controls). Serum proteomic profiles were measured using Surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy (SELDI-TOF-MS).) A classification tree was established by Biomarker Pattern Software (BPS). Candidate SELDI peaks were isolated by tricine-SDS-PAGE, identified by HPLC-MS/MS and validated by immunohistochemistry (IHC) in liver tissues.
Results:
A total of 6 proteomic peaks (3157.33 m/z, 4177.02 m/z, 4284.79 m/z, 4300.80 m/z, 7789.87 m/z, and 7984.14 m/z) were chosen by BPS to establish a classification tree with the highest discriminatory power in the training set. The sensitivity and specificity of this classification tree were 95.92%, and 100% respectively in the testing set. A candidate marker of about 7984 m/z was isolated and identified as neutrophil-activating peptide 2 (NAP-2). IHC staining showed that NAP-2 signals were positive in HCC tissues but negative in adjacent tissues.
Conclusion:
The NAP-2 may be a specific proteomic biomarker of hepatitis B-related HCC.</description>
			<link>http://www.proteomesci.com/content/6/1/10</link>
			
			 	<dc:creator>Min He, Jian Qin, Rihong Zhai, Xiao Wei, Qi Wang, Minhua Rong, Zhihua Jiang, Yuanjiao Huang and Zhiyong Zhang</dc:creator>
			
			<dc:source>Proteome Science 2008, 6:10</dc:source>
			<dc:date>2008-03-10</dc:date>
			<dc:identifier>doi:10.1186/1477-5956-6-10</dc:identifier>
			
			
							
					<prism:publicationName>Proteome Science</prism:publicationName>
					
			
							
					<prism:issn>1477-5956</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>10</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-03-10</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.proteomesci.com/content/6/1/9">
            
            <title>Peptides OFFGEL electrophoresis: a suitable pre-analytical step for complex eukaryotic samples fractionation compatible with quantitative iTRAQ labeling</title>
			<description>Background:
The proteomes of mammalian biological fluids, cells and tissues are complex and composed of proteins with a wide dynamic range. The effective way to overcome the complexity of these proteomes is to combine several fractionation steps. OFFGEL fractionation, recently developed by Agilent Technologies, provides the ability to pre-fractionate peptides into discrete liquid fractions and demonstrated high efficiency and repeatability necessary for the analysis of such complex proteomes.
Results:
We evaluated OFFGEL fractionator technology to separate peptides from two complex proteomes, human secretome and human plasma, using a 24-wells device encompassing the pH range 3&#8211;10. In combination with reverse phase liquid chromatography, peptides from these two samples were separated and identified by MALDI TOF-TOF. The repartition profiles of the peptides in the different fractions were analyzed and explained by their content in charged amino acids using an algorithmic model based on the possible combinations of amino acids. We also demonstrated for the first time the compatibility of OFFGEL separation technology with the quantitative proteomic labeling technique iTRAQ allowing inclusion of this technique in complex samples comparative proteomic workflow.
Conclusion:
The reported data showed that OFFGEL system provides a highly valuable tool to fractionate peptides from complex eukaryotic proteomes (plasma and secretome) and is compatible with iTRAQ labeling quantitative studies. We therefore consider peptides OFFGEL fractionation as an effective addition to our strategy and an important system for quantitative proteomics studies.</description>
			<link>http://www.proteomesci.com/content/6/1/9</link>
			
			 	<dc:creator>J&#233;r&#244;me Chenau, Sylvie Michelland, Jonathan Sidibe and Michel Seve</dc:creator>
			
			<dc:source>Proteome Science 2008, 6:9</dc:source>
			<dc:date>2008-02-26</dc:date>
			<dc:identifier>doi:10.1186/1477-5956-6-9</dc:identifier>
			
			
							
					<prism:publicationName>Proteome Science</prism:publicationName>
					
			
							
					<prism:issn>1477-5956</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>9</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-02-26</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.proteomesci.com/content/6/1/8">
            
            <title>Proteome analysis of human substantia nigra in Parkinson's disease</title>
			<description>Background:
Parkinson's disease (PD) is the most common neurodegenerative disorder involving the motor system. Although not being the only region involved in PD, affection of the substantia nigra and its projections is responsible for some of the most debilitating features of the disease. To further advance a comprehensive understanding of nigral pathology, we conducted a tissue based comparative proteome study of healthy and diseased human substantia nigra.
Results:
The gross number of differentially regulated proteins in PD was 221. In total, we identified 37 proteins, of which 16 were differentially expressed. Identified differential proteins comprised elements of iron metabolism (H-ferritin) and glutathione-related redox metabolism (GST M3, GST P1, GST O1), including novel redox proteins (SH3BGRL). Additionally, many glial or related proteins were found to be differentially regulated in PD (GFAP, GMFB, galectin-1, sorcin), as well as proteins belonging to metabolic pathways sparsely described in PD, such as adenosyl homocysteinase (methylation), aldehyde dehydrogenase 1 and cellular retinol-binding protein 1 (aldehyde metabolism). Further differentially regulated proteins included annexin V, beta-tubulin cofactor A, coactosin-like protein and V-type ATPase subunit 1. Proteins that were similarly expressed in healthy or diseased substantia nigra comprised housekeeping proteins such as COX5A, Rho GDI alpha, actin gamma 1, creatin-kinase B, lactate dehydrogenase B, disulfide isomerase ER-60, Rab GDI beta, methyl glyoxalase 1 (AGE metabolism) and glutamine synthetase. Interestingly, also DJ-1 and UCH-L1 were expressed similarly. Furthermore, proteins believed to serve as internal standards were found to be expressed in a constant manner, such as 14-3-3 epsilon and hCRMP-2, thus lending further validity to our results.
Conclusion:
Using an approach encompassing high sensitivity and high resolution, we show that alterations of SN in PD include many more proteins than previously thought. The results point towards a heterogeneous aetiopathogenesis of the disease, including alterations of GSH-related proteins as well as alterations of proteins involved in retinoid metabolism, and they indicate that proteins involved in familial PD may not be differentially regulated in idiopathic Parkinson's disease.</description>
			<link>http://www.proteomesci.com/content/6/1/8</link>
			
			 	<dc:creator>Cornelius J Werner, Roland Heyny-von Haussen, Gerhard Mall and Sabine Wolf</dc:creator>
			
			<dc:source>Proteome Science 2008, 6:8</dc:source>
			<dc:date>2008-02-14</dc:date>
			<dc:identifier>doi:10.1186/1477-5956-6-8</dc:identifier>
			
			
							
					<prism:publicationName>Proteome Science</prism:publicationName>
					
			
							
					<prism:issn>1477-5956</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>8</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-02-14</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.proteomesci.com/content/6/1/7">
            
            <title>Proteomic profiling of endorepellin angiostatic activity on human endothelial cells</title>
			<description>Background:
Endorepellin, the C-terminal domain V of the heparan sulfate proteoglycan perlecan, exhibits powerful and targeted anti-angiogenic activity on endothelial cells. To identify proteins involved with endorepellin anti-angiogenic action, we performed an extensive comparative proteomic analysis between vehicle- and endorepellin-treated human endothelial cells.
Results:
Proteomic analysis of endorepellin influence on human umbilical vein endothelial cells identified five differentially expressed proteins, three of which (&#946;-actin, calreticulin, and chaperonin/Hsp60) were down-regulated and two of which (vimentin and the &#946; subunit of prolyl 4-hydroxylase also known as protein disulfide isomerase) were up-regulated in response to endorepellin treatment&#8212;and associated with a fold change (endorepellin/control) &#8804; 0.75 and &#8805; 2.00, and a statistically significant p-value as determined by Student's t test.
Conclusion:
The proteins identified represent potential target areas involved with endorepellin anti-angiogenic mechanism of action. Further elucidation as such will ultimately provide useful in utilizing endorepellin as an anti-angiogenic therapy in humans.</description>
			<link>http://www.proteomesci.com/content/6/1/7</link>
			
			 	<dc:creator>Jason J Zoeller and Renato V Iozzo</dc:creator>
			
			<dc:source>Proteome Science 2008, 6:7</dc:source>
			<dc:date>2008-02-12</dc:date>
			<dc:identifier>doi:10.1186/1477-5956-6-7</dc:identifier>
			
			
							
					<prism:publicationName>Proteome Science</prism:publicationName>
					
			
							
					<prism:issn>1477-5956</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>7</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-02-12</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.proteomesci.com/content/6/1/6">
            
            <title>Data mining of plasma peptide chromatograms for biomarkers of air contaminant exposures</title>
			<description>Background:
Interrogation of chromatographic data for biomarker discovery becomes a tedious task due to stochastic variability in retention times arising from solvent and column performance. The difficulty is further compounded when the effects of exposure (e.g. to environmental contaminants) and biological variability result in varying numbers and intensities of peaks among chromatograms.
Results:
We developed a software tool to correct the stochastic time shifts in chromatographic data through iterative selection of landmark peaks and isometric interpolation to improve alignment of all chromatographic peaks. To illustrate application of the tool, plasma peptides from Fischer rats exposed for 4 h to clean air or Ottawa urban particles (EHC-93) were separated by HPLC with autofluorescence detection, and the retention time shifts between chromatograms were corrected (dewarped). Both dewarped and non-dewarped datasets were then mined for models containing peptide peaks that best discriminate among the treatment groups using ClinproTools&#8482;. In general, models generated by dewarped datasets were able to better classify test sample chromatograms into either clean air or EHC-93 exposure groups, and 0 or 24 h post-recovery time groups. Peak areas of peptides in a model that produced the best discrimination of treatment groups were analyzed by two-way ANOVA with exposure (clean air, EHC-93) and recovery time (0 h, 24 h) as factors. Statistically significant (p &lt; 0.05) time-dependent and exposure-dependent increases and decreases were noted establishing these as biomarker candidates for further validation.
Conclusion:
Our software tool provides a simple and portable approach for alignment of chromatograms with complex, bi-directional retention time shifts prior to data mining. Reliable biomarker discovery can be achieved through chromatographic dewarping using our software followed by pattern recognition by commercial data mining applications.</description>
			<link>http://www.proteomesci.com/content/6/1/6</link>
			
			 	<dc:creator>Subramanian Karthikeyan, Premkumari Kumarathasan and Renaud Vincent</dc:creator>
			
			<dc:source>Proteome Science 2008, 6:6</dc:source>
			<dc:date>2008-01-30</dc:date>
			<dc:identifier>doi:10.1186/1477-5956-6-6</dc:identifier>
			
			
							
					<prism:publicationName>Proteome Science</prism:publicationName>
					
			
							
					<prism:issn>1477-5956</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>6</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-01-30</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.proteomesci.com/content/6/1/5">
            
            <title>Early antibody response against Mycobacterium avium subspecies paratuberculosis antigens in subclinical cattle</title>
			<description>Background:
Our laboratories have previously reported on the experimental infection of cattle with Mycobacterium avium subsp paratuberculosis (M. paratuberculosis) using an intratonsillar infection model. In addition, we have recently developed a partial protein array representing 92 M. paratuberculosis coding sequences. These combined tools have enabled a unique look at the temporal analysis of M. paratuberculosis antigens within the native host. The primary objective of this study was to identify M. paratuberculosis antigens detected by cattle early during infection. A secondary objective was to evaluate the humoral immune response in cattle during the initial year of infection.
Results:
Sera from two experimentally infected cattle, taken pre-inoculation and at day 70, 194 and 321 post infection, identified dynamic antibody reactivity among antigens with some showing an increased response over time and others showing declining levels of reactivity over the same time period. A M. paratuberculosis specific protein, encoded by MAP0862, was strongly detected initially, but the antibody response became weaker with time. The most reactive protein was a putative surface antigen encoded by MAP1087. A second protein, MAP1204, implicated in virulence, was also strongly detected by day 70 in both cattle. Subsequent experiments showed that these two proteins were detected with sera from 5 of 9 naturally infected cattle in the subclinical stage of Johne's disease.
Conclusion:
Collectively these results demonstrate that M. paratuberculosis proteins are detected by sera from experimentally infected cattle as early as 70 days after exposure. These data further suggest at least two antigens may be useful in the early diagnosis of M. paratuberculosis infections. Finally, the construction and use of a protein array in this pilot study has led to a novel approach for discovery of M. paratuberculosis antigens.</description>
			<link>http://www.proteomesci.com/content/6/1/5</link>
			
			 	<dc:creator>John P Bannantine, Darrell O Bayles, W Ray Waters, Mitchell V Palmer, Judith R Stabel and Michael L Paustian</dc:creator>
			
			<dc:source>Proteome Science 2008, 6:5</dc:source>
			<dc:date>2008-01-28</dc:date>
			<dc:identifier>doi:10.1186/1477-5956-6-5</dc:identifier>
			
			
							
					<prism:publicationName>Proteome Science</prism:publicationName>
					
			
							
					<prism:issn>1477-5956</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>5</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-01-28</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.proteomesci.com/content/6/1/4">
            
            <title>Automated production of recombinant human proteins as resource for proteome research</title>
			<description>Background:
An arbitrary set of 96 human proteins was selected and tested to set-up a fully automated protein production strategy, covering all steps from DNA preparation to protein purification and analysis. The target proteins are encoded by functionally uncharacterized open reading frames (ORF) identified by the German cDNA consortium. Fusion proteins were produced in E. coli with four different fusion tags and tested in five different purification strategies depending on the respective fusion tag. The automated strategy relies on standard liquid handling and clone picking equipment.
Results:
A robust automated strategy for the production of recombinant human proteins in E. coli was established based on a set of four different protein expression vectors resulting in NusA/His, MBP/His, GST and His-tagged proteins. The yield of soluble fusion protein was correlated with the induction temperature and the respective fusion tag. NusA/His and MBP/His fusion proteins are best expressed at low temperature (25&#176;C), whereas the yield of soluble GST fusion proteins was higher when protein expression was induced at elevated temperature. In contrast, the induction of soluble His-tagged fusion proteins was independent of the temperature. Amylose was not found useful for affinity-purification of MBP/His fusion proteins in a high-throughput setting, and metal chelating chromatography is recommended instead.
Conclusion:
Soluble fusion proteins can be produced in E. coli in sufficient qualities and &#956;g/ml culture quantities for downstream applications like microarray-based assays, and studies on protein-protein interactions employing a fully automated protein expression and purification strategy. Future applications might include the optimization of experimental conditions for the large-scale production of soluble recombinant proteins from libraries of open reading frames.</description>
			<link>http://www.proteomesci.com/content/6/1/4</link>
			
			 	<dc:creator>Thorsten Kohl, Christian Schmidt, Stefan Wiemann, Annemarie Poustka and Ulrike Korf</dc:creator>
			
			<dc:source>Proteome Science 2008, 6:4</dc:source>
			<dc:date>2008-01-28</dc:date>
			<dc:identifier>doi:10.1186/1477-5956-6-4</dc:identifier>
			
			
							
					<prism:publicationName>Proteome Science</prism:publicationName>
					
			
							
					<prism:issn>1477-5956</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>4</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-01-28</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.proteomesci.com/content/6/1/3">
            
            <title>Proteome profiling of embryo chick retina</title>
			<description>Background:
Little is known regarding the molecular pathways that underlie the process of retinal development. The purpose of this study was to identify proteins which may be involved in development of retina. We used a proteomics-based approach to identify proteins that are up- or down-regulated during the development of the embryo chick retina.
Results:
Two-dimensional gel electrophoresis was performed with the retina of embryo chicken, which was obtained from embryos of day 7 (ED7) and of day 11 (ED11). The protein spots showing significant differences were selected for identification by MALDI mass spectrometry. Thirteen proteins were differentially expressed; seven proteins were up-regulated in embryo retina of chicken at ED 11 and six proteins were down-regulated. Significant proteins were also evaluated in embryo day 15 (ED15). Some of identified proteins were known to regulate cell proliferation, cell death, transport, metabolism, organization and extracellular matrix, and others also included novel proteins.
Conclusion:
We identified thirteen proteins which differentially expressed in embryonal retina of chicken at day 7, as compared to the retina of embryo of day 11. They were various regulatory proteins for cellular signaling.</description>
			<link>http://www.proteomesci.com/content/6/1/3</link>
			
			 	<dc:creator>Mina Mizukami, Takashi Kanamoto, Nazariy Souchelnytskyi and Yoshiaki Kiuchi</dc:creator>
			
			<dc:source>Proteome Science 2008, 6:3</dc:source>
			<dc:date>2008-01-22</dc:date>
			<dc:identifier>doi:10.1186/1477-5956-6-3</dc:identifier>
			
			
							
					<prism:publicationName>Proteome Science</prism:publicationName>
					
			
							
					<prism:issn>1477-5956</prism:issn>
					
			
							
					<prism:volume>6</prism:volume>
					
			
							
					<prism:startingPage>3</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-01-22</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
		
    <cc:License rdf:about="http://creativecommons.org/licenses/by/2.0/">
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