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        <title>BMC Genomics - Latest Articles</title>
        <link>http://www.biomedcentral.com/bmcgenomics/</link>
        <description>The latest research articles published by BMC Genomics</description>
        <dc:date>2009-11-21T00:00:00Z</dc:date>
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                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2164/10/551" />
                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2164/10/550" />
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                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2164/10/547" />
                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2164/10/546" />
                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2164/10/545" />
                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2164/10/544" />
                                <rdf:li rdf:resource="http://www.biomedcentral.com/1471-2164/10/543" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2164/10/551">
        <title>Candidate genes revealed by a genome scan for mosquito resistance to a bacterial insecticide: sequence and gene expression variations</title>
        <description>Background:
Genome scans are becoming an increasingly popular approach to study the genetic basis of adaptation and speciation, but on their own, they are often helpless at identifying the specific gene(s) or mutation(s) targeted by selection. This shortcoming is hopefully bound to disappear in a near future, thanks to the wealth of new genomic resources that are currently being developed for many species. In this article, we provide a foretaste of this exciting new era by conducting a genome scan in the mosquito Aedes aegypti with the aim to look for candidate genes involved in resistance to Bacillus thuringiensis subsp. israelensis (Bti) insecticidal toxins.
Results:
The genome of a Bti-resistant and a Bti-susceptible strains was surveyed using about 500 MITE-based molecular markers, and the loci showing the highest inter-strain genetic differentiation were sequenced and mapped on the Aedes aegypti genome sequence. Several good candidate genes for Bti-resistance were identified in the vicinity of these highly differentiated markers. Two of them, coding for a cadherin and a leucine aminopeptidase, were further examined at the sequence and gene expression levels. In the resistant strain, the cadherin gene displayed patterns of nucleotide polymorphisms consistent with the action of positive selection (e.g. an excess of high compared to intermediate frequency mutations), as well as a significant under-expression compared to the susceptible strain.
Conclusions:
Both sequence and gene expression analyses agree to suggest a role for positive selection in the evolution of this cadherin gene in the resistant strain. However, it is unlikely that resistance to Bti is conferred by this gene alone, and further investigation will be needed to characterize other genes significantly associated with Bti resistance in Ae. aegypti. Beyond these results, this article illustrates how genome scans can build on the body of new genomic information (here, full genome sequence and MITE characterization) to finally hold their promises and help pinpoint candidate genes for adaptation and speciation.</description>
        <link>http://www.biomedcentral.com/1471-2164/10/551</link>
                <dc:creator>Aurelie Bonin</dc:creator>
                <dc:creator>Margot Paris</dc:creator>
                <dc:creator>Guillaume Tetreau</dc:creator>
                <dc:creator>Jean-Philippe David</dc:creator>
                <dc:creator>Laurence Despres</dc:creator>
                <dc:source>BMC Genomics 2009, 10:551</dc:source>
        <dc:date>2009-11-21T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2164-10-551</dc:identifier>
        <prism:publicationName>BMC Genomics</prism:publicationName>
        <prism:issn>1471-2164</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>551</prism:startingPage>
        <prism:publicationDate>2009-11-21T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2164/10/550">
        <title>A whole genome bayesian scan for adaptive genetic divergence in West African cattle</title>
        <description>Background:
The recent settlement of cattle in West Africa after several waves of migration from remote centres of domestication has imposed dramatic changes in their environmental conditions, in particular through exposure to new pathogens. West African cattle populations thus represent an appealing model to unravel the genome response to adaptation to tropical conditions. The purpose of this study was to identify footprints of adaptive selection at the whole genome level in a newly collected data set comprising 36,320 SNPs genotyped in 9 West African cattle populations.
Results:
After a detailed analysis of population structure, we performed a scan for SNP differentiation via a previously proposed Bayesian procedure including extensions to improve the detection of loci under selection. Based on these results we identified 53 genomic regions and 42 strong candidate genes. Their physiological functions were mainly related to immune response (MHC region which was found under strong balancing selection, CD79A, CXCR4, DLK1, RFX3, SEMA4A, TICAM1 and TRIM21), nervous system (NEUROD6, OLFM2, MAGI1, SEMA4A and HTR4) and skin and hair properties (EDNRB, TRSP1 and KRTAP8-1).
Conclusions:
The main possible underlying selective pressures may be related to climatic conditions but also to the host response to pathogens such as Trypanosoma(sp). Overall, these results might open the way towards the identification of important variants involved in adaptation to tropical conditions and in particular to resistance to tropical infectious diseases.</description>
        <link>http://www.biomedcentral.com/1471-2164/10/550</link>
                <dc:creator>Mathieu Gautier</dc:creator>
                <dc:creator>Laurence Flori</dc:creator>
                <dc:creator>Andrea Riebler</dc:creator>
                <dc:creator>Florence Jaffrezic</dc:creator>
                <dc:creator>Denis Laloe</dc:creator>
                <dc:creator>Ivo Gut</dc:creator>
                <dc:creator>Katayoun Moazami-Goudarzi</dc:creator>
                <dc:creator>Jean-Louis Foulley</dc:creator>
                <dc:source>BMC Genomics 2009, 10:550</dc:source>
        <dc:date>2009-11-21T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2164-10-550</dc:identifier>
        <prism:publicationName>BMC Genomics</prism:publicationName>
        <prism:issn>1471-2164</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>550</prism:startingPage>
        <prism:publicationDate>2009-11-21T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2164/10/549">
        <title>Novel motifs distinguish multiple homologues of Polycomb in vertebrates: expansion and diversification of the epigenetic toolkit</title>
        <description>Background:
Polycomb group (PcG) proteins maintain expression pattern of genes set early during development. Although originally isolated as regulators of homeotic genes, PcG members play a key role in epigenetic mechanism that maintains the expression state of a large number of genes. Polycomb (PC) is conserved during evolution and while invertebrates have one PC gene, vertebrates have five or more homologues. It remains unclear if different vertebrate PC homologues have distinct or overlapping functions. We have identified and compared the sequence of PC homologues in various organisms to analyze similarities and differences that shaped the evolutionary history of this key regulatory protein.
Results:
All PC homologues have an N-terminal chromodomain and a C-terminal Polycomb Repressor box. We searched the protein and genome sequence database of various organisms for these signatures and identified ~100 PC homologues. Comparative analysis of these sequences led to the identification of a novel insect specific motif and several novel and signature motifs in the vertebrate homologue: two in CBX2 (Cx2.1 and Cx2.2), four in CBX4 (Cx4.1, Cx4.2, Cx4.3 and Cx4.4), three in CBX6 (Cx6.1, Cx6.2 and Cx6.3) and one in CBX8 (Cx8.1). Additionally, adjacent to the chromodomain, all the vertebrate homologues have a DNA binding motif - AT-Hook in case of CBX2, which was known earlier, and &apos;AT-Hook Like&apos; motif, from this study, in other PC homologues.
Conclusions:
Our analysis shows that PC is an ancient gene dating back to pre bilaterian origin that has not only been conserved but has also expanded during the evolution of complexity. Unique motifs acquired by each homologue have been maintained for more than 500 millions years indicating their functional relevance in boosting the epigenetic &apos;tool kit&apos;. We report the presence of a DNA interaction motif adjacent to chromodomain in all vertebrate PC homologues and suggest a three-way &apos;PC-histoneH3-DNA&apos; interaction that can restrict nucleosome dynamics. The signature motifs of PC homologues and insect specific motif identified in this study pave the way to understand the molecular basis of epigenetic mechanisms.</description>
        <link>http://www.biomedcentral.com/1471-2164/10/549</link>
                <dc:creator>Ramamoorthy Senthilkumar</dc:creator>
                <dc:creator>Rakesh Mishra</dc:creator>
                <dc:source>BMC Genomics 2009, 10:549</dc:source>
        <dc:date>2009-11-20T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2164-10-549</dc:identifier>
        <prism:publicationName>BMC Genomics</prism:publicationName>
        <prism:issn>1471-2164</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>549</prism:startingPage>
        <prism:publicationDate>2009-11-20T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.biomedcentral.com/1471-2164/10/548">
        <title>Characterisation of microRNA expression in post-natal mouse mammary gland development</title>
        <description>Background:
The differential expression pattern of microRNAs (miRNAs) during mammary gland development might provide insights into their role in regulating the homeostasis of the breast epithelium. Our aim was to analyse these regulatory functions by deriving a comprehensive tissue-specific combined miRNA and mRNA expression profile of post-natal mouse mammary gland development.We measured the expression of 318 individual murine miRNAs by bead-based flow-cytometric profiling of whole mouse mammary glands throughout a 16-point developmental time course, including juvenile, puberty, mature virgin, gestation, lactation, and involution stages. In parallel whole-genome mRNA expression data were obtained.
Results:
One third (n = 102) of all murine miRNAs analysed were detected during mammary gland development. MicroRNAs were represented in seven temporally co-expressed clusters, which were enriched for both miRNAs belonging to the same family and breast cancer-associated miRNAs. Global miRNA and mRNA expression was significantly reduced during lactation and the early stages of involution after weaning. For most detected miRNA families we did not observe systematic changes in the expression of predicted targets. For miRNA families whose targets did show changes, we observed inverse patterns of miRNA and target expression. The datasets are made publicly available and the combined expression profiles represent an important community resource for mammary gland biology research.
Conclusions:
MicroRNAs were expressed in likely co-regulated clusters during mammary gland development. Breast cancer-associated miRNAs were significantly enriched in these clusters. The mechanism and functional consequences of this miRNA co-regulation provide new avenues for research into mammary gland biology and generate candidates for functional validation.</description>
        <link>http://www.biomedcentral.com/1471-2164/10/548</link>
                <dc:creator>Stefanie Avril-Sassen</dc:creator>
                <dc:creator>Leonard Goldstein</dc:creator>
                <dc:creator>John Stingl</dc:creator>
                <dc:creator>Cherie Blenkiron</dc:creator>
                <dc:creator>John Le Quesne</dc:creator>
                <dc:creator>Inmaculada Spiteri</dc:creator>
                <dc:creator>Konstantina Karagavriilidou</dc:creator>
                <dc:creator>Christine Watson</dc:creator>
                <dc:creator>Simon Tavare</dc:creator>
                <dc:creator>Eric Miska</dc:creator>
                <dc:creator>Carlos Caldas</dc:creator>
                <dc:source>BMC Genomics 2009, 10:548</dc:source>
        <dc:date>2009-11-20T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2164-10-548</dc:identifier>
        <prism:publicationName>BMC Genomics</prism:publicationName>
        <prism:issn>1471-2164</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>548</prism:startingPage>
        <prism:publicationDate>2009-11-20T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2164/10/547">
        <title>De novo 454 sequencing of barcoded BAC pools for comprehensive gene survey and genome analysis in the complex genome of barley</title>
        <description>Background:
De novo sequencing the entire genome of a large complex plant genome like the one of barley (Hordeum vulgare L.) is a major challenge both in terms of experimental feasibility and costs. The emergence and breathtaking progress of next generation sequencing technologies has put this goal into focus and a clone based strategy combined with the 454/Roche technology is conceivable.
Results:
To test the feasibility, we sequenced 91 barcoded, pooled, gene containing barley BACs using the GS FLX platform and assembled the sequences under iterative change of parameters. The BAC assemblies were characterized by N50 of ~50 kb (N80 ~31 kb, N90 ~21 kb) and a Q40 of 94%. For ~80% of the clones, the best assemblies consisted of less than 10 contigs at 24-fold mean sequence coverage. Moreover we show that gene containing regions seem to assemble completely and uninterrupted thus making the approach suitable for detecting complete and positionally anchored genes.By comparing the assemblies of four clones to their complete reference sequences generated by the Sanger method, we evaluated the distribution, quality and representativeness of the 454 sequences as well as the consistency and reliability of the assemblies.
Conclusions:
The described multiplex 454 sequencing of barcoded BACs leads to sequence consensi highly representative for the clones. Assemblies are correct for the majority of contigs. Though the resolution of complex repetitive structures requires additional experimental efforts, our approach paves the way for a clone based strategy of sequencing the barley genome.</description>
        <link>http://www.biomedcentral.com/1471-2164/10/547</link>
                <dc:creator>Burkhard Steuernagel</dc:creator>
                <dc:creator>Stefan Taudien</dc:creator>
                <dc:creator>Heidrun Gundlach</dc:creator>
                <dc:creator>Michael Seidel</dc:creator>
                <dc:creator>Ruvini Ariyadasa</dc:creator>
                <dc:creator>Daniela Schulte</dc:creator>
                <dc:creator>Andreas Petzold</dc:creator>
                <dc:creator>Marius Felder</dc:creator>
                <dc:creator>Andreas Graner</dc:creator>
                <dc:creator>Uwe Scholz</dc:creator>
                <dc:creator>Klaus Mayer</dc:creator>
                <dc:creator>Matthias Platzer</dc:creator>
                <dc:creator>Nils Stein</dc:creator>
                <dc:source>BMC Genomics 2009, 10:547</dc:source>
        <dc:date>2009-11-20T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2164-10-547</dc:identifier>
        <prism:publicationName>BMC Genomics</prism:publicationName>
        <prism:issn>1471-2164</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>547</prism:startingPage>
        <prism:publicationDate>2009-11-20T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2164/10/546">
        <title>Expression profiling of rainbow trout testis development identifies evolutionary conserved genes involved in spermatogenesis</title>
        <description>Background:
Spermatogenesis is a late developmental process that involves a coordinated expression program in germ cells and a permanent communication between the testicular somatic cells and the germ-line. Current knowledge regarding molecular factors driving male germ cell proliferation and differentiation in vertebrates is still limited and mainly based on existing data from rodents and human. Fish with a marked reproductive cycle and a germ cell development in synchronous cysts have proven to be choice models to study precise stages of the spermatogenetic development and the germ cell-somatic cell communication network. In this study we used 9K cDNA microarrays to investigate the expression profiles underlying testis maturation during the male reproductive cycle of the trout, Oncorhynchus mykiss.
Results:
Using total testis samples at various developmental stages and isolated spermatogonia, spermatocytes and spermatids, 3379 differentially expressed trout cDNAs were identified and their gene activation or repression patterns throughout the reproductive cycle were reported. We also performed a tissue-profiling analysis and highlighted many genes for which expression signals were restricted to the testes or gonads from both sexes. The search for orthologous genes in genome-sequenced fish species and the use of their mammalian orthologs allowed us to provide accurate annotations for trout cDNAs. The analysis of the GeneOntology terms therefore validated and broadened our interpretation of expression clusters by highlighting enriched functions that are consistent with known sequential events during male gametogenesis. Furthermore, we compared expression profiles of trout and mouse orthologs and identified a complement of genes for which expression during spermatogenesis was maintained throughout evolution.
Conclusion:
A comprehensive study of gene expression and associated functions during testis maturation and germ cell differentiation in the rainbow trout is presented. The study identifies new pathways involved during spermatogonia self-renewal or rapid proliferation, meiosis and gamete differentiation, in fish and potentially in all vertebrates. It also provides the necessary basis to further investigate the hormonal and molecular networks that trigger puberty and annual testicular recrudescence in seasonally breeding species.</description>
        <link>http://www.biomedcentral.com/1471-2164/10/546</link>
                <dc:creator>Antoine Rolland</dc:creator>
                <dc:creator>Jean-Jacques Lareyre</dc:creator>
                <dc:creator>Anne-Sophie Goupil</dc:creator>
                <dc:creator>Jerome Monfort</dc:creator>
                <dc:creator>Marie-Jose Ricordel</dc:creator>
                <dc:creator>Diane Esquerre</dc:creator>
                <dc:creator>Karine Hugot</dc:creator>
                <dc:creator>Remi Houlgatte</dc:creator>
                <dc:creator>Frederic Chalmel</dc:creator>
                <dc:creator>Florence Le Gac</dc:creator>
                <dc:source>BMC Genomics 2009, 10:546</dc:source>
        <dc:date>2009-11-20T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2164-10-546</dc:identifier>
        <prism:publicationName>BMC Genomics</prism:publicationName>
        <prism:issn>1471-2164</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>546</prism:startingPage>
        <prism:publicationDate>2009-11-20T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2164/10/545">
        <title>Ligand-specific sequential regulation of transcription factors for differentiation of MCF-7 cells</title>
        <description>Background:
Sharing a common ErbB/HER receptor signaling pathway, heregulin (HRG) induces differentiation of MCF-7 human breast cancer cells while epidermal growth factor (EGF) elicits proliferation. Although cell fates resulting from action of the aforementioned ligands completely different, the respective gene expression profiles in early transcription are qualitatively similar, suggesting that gene expression during late transcription, but not early transcription, may reflect ligand specificity. In this study, based on both the data from time-course quantitative real-time PCR on over 2,000 human transcription factors and microarray of all human genes, we identified a series of transcription factors which may control HRG-specific late transcription in MCF-7 cells.
Results:
We predicted that four transcription factors including EGR4, FRA-1, FHL2, and DIPA should have responsibility of regulation in MCF-7 cell differentiation. Validation analysis suggested that one member of the activator protein 1 (AP-1) family, FOSL-1 (FRA-1 gene), appeared immediately following c-FOS expression, might be responsible for expression of transcription factor FHL2 through activation of the AP-1 complex. Furthermore, RNAi gene silencing of FOSL-1 and FHL2 resulted in increase of extracellular signal-regulated kinase (ERK) phosphorylation of which duration was sustained by HRG stimulation.
Conclusions:
Our analysis indicated that a time-dependent transcriptional regulatory network including c-FOS, FRA-1, and FHL2 is vital in controlling the ERK signaling pathway through a negative feedback loop for MCF-7 cell differentiation.</description>
        <link>http://www.biomedcentral.com/1471-2164/10/545</link>
                <dc:creator>Yuko Saeki</dc:creator>
                <dc:creator>Takaho Endo</dc:creator>
                <dc:creator>Kaori Ide</dc:creator>
                <dc:creator>Takeshi Nagashima</dc:creator>
                <dc:creator>Noriko Yumoto</dc:creator>
                <dc:creator>Tetsuro Toyoda</dc:creator>
                <dc:creator>Harukazu Suzuki</dc:creator>
                <dc:creator>Yoshihide Hayashizaki</dc:creator>
                <dc:creator>Yoshiyuki Sakaki</dc:creator>
                <dc:creator>Mariko Okada-Hatakeyama</dc:creator>
                <dc:source>BMC Genomics 2009, 10:545</dc:source>
        <dc:date>2009-11-20T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2164-10-545</dc:identifier>
        <prism:publicationName>BMC Genomics</prism:publicationName>
        <prism:issn>1471-2164</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>545</prism:startingPage>
        <prism:publicationDate>2009-11-20T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2164/10/544">
        <title>Differentially expressed genes for aggressive pecking behaviour in laying hens</title>
        <description>Background:
Aggressive behaviour is an important aspect in the daily lives of animals living in groups. Aggressive animals have advantages, such as better access to food or territories, and they produce more offspring than low ranking animals. The social hierarchy in chickens is measured using the &apos;pecking order&apos; concept, which counts the number of aggressive pecks given and received. To date, little is known about the underlying genetics of the &apos;pecking order&apos;.
Results:
A total of 60 hens from a high feather pecking selection line were divided into three groups: only receivers (R), only peckers (P) and mixed peckers and receivers (P&amp;R). In comparing the R and P groups, we observed that there were 40 differentially expressed genes [false discovery rate (FDR) P &lt; 0.10]. It was not fully clear how the 40 genes regulated aggressive behaviour; however, gene set analysis detected a number of GO identifiers, which were potentially involved in aggressive behavioural processes. These genes code for synaptosomes (GO:0019797), and proteins involved in the regulation of the excitatory postsynaptic membrane potential (GO:0060079), the regulation of the membrane potential (GO:0042391), and glutamate receptor binding (GO:0035254).
Conclusion:
In conclusion, our study provides new insights into which genes are involved in aggressive behaviours in chickens. Pecking and receiving hens exhibited different gene expression profiles in their brains. Following confirmation, the identification of differentially expressed genes may elucidate how the pecking order forms in laying hens at a molecular level.</description>
        <link>http://www.biomedcentral.com/1471-2164/10/544</link>
                <dc:creator>Bart Buitenhuis</dc:creator>
                <dc:creator>Jakob Hedgaard</dc:creator>
                <dc:creator>Luc Janss</dc:creator>
                <dc:creator>Peter Sorensen</dc:creator>
                <dc:source>BMC Genomics 2009, 10:544</dc:source>
        <dc:date>2009-11-19T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2164-10-544</dc:identifier>
        <prism:publicationName>BMC Genomics</prism:publicationName>
        <prism:issn>1471-2164</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>544</prism:startingPage>
        <prism:publicationDate>2009-11-19T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2164/10/543">
        <title>A transcriptome analysis identifies molecular effectors of unconjugated bilirubin in human neuroblastoma SH-SY5Y cells</title>
        <description>Background:
The deposition of unconjugated bilirubin (UCB) in selected regions of the brain results in irreversible neuronal damage, or Bilirubin Encephalopathy (BE). Although UCB impairs a large number of cellular functions in other tissues, the basic mechanisms of neurotoxicity have not yet been fully clarified. While cells can accumulate UCB by passive diffusion, cell protection may involve multiple mechanisms including the extrusion of the pigment as well as pro-survival homeostatic responses that are still unknown.
Results:
Transcriptome changes induced by UCB exposure in SH-SY5Y neuroblastoma cell line were examined by high density oligonucleotide microarrays. Two-hundred and thirty genes were induced after 24 hours. A Gene Ontology (GO) analysis showed that at least 50 genes were directly involved in the endoplasmic reticulum (ER) stress response. Validation of selected ER stress genes is shown by quantitative RT-PCR. Analysis of XBP1 splicing and DDIT3/CHOP subcellular localization is presented.
Conclusions:
These results show for the first time that UCB exposure induces ER stress response as major intracellular homeostasis in surviving neuroblastoma cells in vitro.</description>
        <link>http://www.biomedcentral.com/1471-2164/10/543</link>
                <dc:creator>Raffaella Calligaris</dc:creator>
                <dc:creator>Cristina Bellarosa</dc:creator>
                <dc:creator>Rossana Foti</dc:creator>
                <dc:creator>Paola Roncaglia</dc:creator>
                <dc:creator>Pablo Giraudi</dc:creator>
                <dc:creator>Helena Krmac</dc:creator>
                <dc:creator>Claudio Tiribelli</dc:creator>
                <dc:creator>Stefano Gustincich</dc:creator>
                <dc:source>BMC Genomics 2009, 10:543</dc:source>
        <dc:date>2009-11-19T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2164-10-543</dc:identifier>
        <prism:publicationName>BMC Genomics</prism:publicationName>
        <prism:issn>1471-2164</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>543</prism:startingPage>
        <prism:publicationDate>2009-11-19T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.biomedcentral.com/1471-2164/10/542">
        <title>Gene network and pathway analysis of bovine mammary tissue challenged with Streptococcus uberis reveals induction of cell proliferation and inhibition of PPAR-gamma signaling as potential mechanism for the negative relationships between immune response and lipid metabolism</title>
        <description>Background:
Information generated via microarrays might uncover interactions between the mammary gland and Streptococcus uberis (S. uberis) that could help identify control measures for the prevention and spread of S. uberis mastitis, as well as improve overall animal health and welfare, and decrease economic losses to dairy farmers.  The main objective of this study was to determine the most affected gene networks and pathways in mammary tissue in response to an intramammary infection (IMI) with S. uberis and relate these with other physiological measurements associated with immune and/or metabolic responses to mastitis challenge with S. uberis O140J.
Results:
Streptococcus uberis IMI resulted in 2,102 (1,939 annotated) differentially expressed genes (DEG; YES versus NO).  Within this set of DEG, we uncovered 20 significantly enriched canonical pathways (with 20 to 61 genes each), the majority of which were signaling pathways.  Among the most inhibited were LXR/RXR Signaling and PPARalpha/RXRalpha Signaling. Pathways activated by IMI were IL-10 Signaling and IL-6 Signaling which likely reflected counter mechanisms of mammary tissue to respond to infection.  Of the 2,102 DEG, 1,082 were up-regulated during IMI and were primarily involved with the immune response, e.g., IL6, TNF, IL8, IL10, SELL, LYZ, and SAA3.  Genes down-regulated (1,020) included those associated with milk fat synthesis, e.g., LPIN1, LPL, CD36, and BTN1A1.  Network analysis of DEG indicated that TNF had positive relationships with genes involved with immune system function (e.g., CD14, IL8, IL1B, and TLR2) and negative relationships with genes involved with lipid metabolism (e.g., GPAM, SCD, FABP4, CD36, and LPL) and antioxidant activity (SOD1).
Conclusions:
Results provided novel information into the early signaling and metabolic pathways in mammary tissue that are associated with the innate immune response to S. uberis infection.  Our study indicated that IMI challenge with S. uberis (strain O140J) elicited a strong transcriptomic response, leading to potent activation of pro-inflammatory pathways that were associated with a marked inhibition of lipid synthesis, stress-activated kinase signaling cascades, and PPAR signaling (most likely PPARgamma).  This latter effect may provide a mechanistic explanation for the inverse relationship between immune response and milk fat synthesis.</description>
        <link>http://www.biomedcentral.com/1471-2164/10/542</link>
                <dc:creator>Kasey Moyes</dc:creator>
                <dc:creator>James Drackley</dc:creator>
                <dc:creator>Dawn Morin</dc:creator>
                <dc:creator>Massimo Bionaz</dc:creator>
                <dc:creator>Sandra Rodriguez-Zas</dc:creator>
                <dc:creator>Robin Everts</dc:creator>
                <dc:creator>Harris Lewin</dc:creator>
                <dc:creator>Juan Loor</dc:creator>
                <dc:source>BMC Genomics 2009, 10:542</dc:source>
        <dc:date>2009-11-19T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1471-2164-10-542</dc:identifier>
        <prism:publicationName>BMC Genomics</prism:publicationName>
        <prism:issn>1471-2164</prism:issn>
        <prism:volume>10</prism:volume>
        <prism:startingPage>542</prism:startingPage>
        <prism:publicationDate>2009-11-19T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>PDF</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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