27 research outputs found

    Gene array and real time PCR analysis of the adrenal sensitivity to adrenocorticotropic hormone in pig-1

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    Reated (control) or 1 hour after injection (ACTH) of a high dose (250 ÎŒg per animal) of 1–24 ACTH (Immediate synacthen). (n = 6 per experimental group, means ± SE).<p><b>Copyright information:</b></p><p>Taken from "Gene array and real time PCR analysis of the adrenal sensitivity to adrenocorticotropic hormone in pig"</p><p>http://www.biomedcentral.com/1471-2164/9/101</p><p>BMC Genomics 2008;9():101-101.</p><p>Published online 27 Feb 2008</p><p>PMCID:PMC2289818.</p><p></p

    Gene array and real time PCR analysis of the adrenal sensitivity to adrenocorticotropic hormone in pig-0

    No full text
    Reated (control) or 1 hour after injection (ACTH) of a high dose (250 ÎŒg per animal) of 1–24 ACTH (Immediate synacthen). (n = 6 per experimental group, means ± SE).<p><b>Copyright information:</b></p><p>Taken from "Gene array and real time PCR analysis of the adrenal sensitivity to adrenocorticotropic hormone in pig"</p><p>http://www.biomedcentral.com/1471-2164/9/101</p><p>BMC Genomics 2008;9():101-101.</p><p>Published online 27 Feb 2008</p><p>PMCID:PMC2289818.</p><p></p

    Additional file 1 of Multi-tissue metabolic and transcriptomic responses to a short-term heat stress in swine

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    Additional file 1. Table of the DEGs identified in the seven tissues. Cutoff for adjusted p-value was fixed at 0.05

    The co-expression network where hubs are highlighted.

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    <p>The names are also given. The list of hubs is available in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0060045#pone.0060045.s007" target="_blank">Table S1</a>.</p

    Summary of the statistical pipeline.

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    <p>Data are represented in green (expression data and pH), statistical methods are represented in purple, results are represented in red.</p

    Emerging Economies:Changing Business Practices

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    This book highlights the current business practices in the emerging markets of China, Ghana, India, Kenya, Nigeria and UAE, and explains how forces of global competition have set the culture of competitiveness and an era of consumerism. The region-specific issues, tested theories and empirical evidence make the book an asset to both researchers and managers

    Moran’s plot of the partial correlation between pH and expression levels in the co-expression network.

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    <p>Influential nodes are displayed in color and their names are given. Influential genes labeled “H–H” have a strong positive correlation with pH (above the mean) and are linked to genes having a strong positive correlation with pH (above the mean); influential genes labeled “H–L” have a strong positive correlation with pH (above the mean) and are linked to genes having a strong negative correlation with pH (below the mean); influential genes labeled “L–H” have a strong negative correlation with pH (below the mean) and are linked to genes having a strong positive correlation with pH (above the mean); influential genes labeled “L–L” have a strong negative correlation with pH (below the mean) and are linked to genes having a strong negative correlation with pH (below the mean). Genes in red are in cluster 4, the cluster that is the most correlated to pH.</p

    Correspondence between clusters found by node clustering and bibliographic network.

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    <p>The list of genes for each cluster was submitted to IPA software and only one biological network was obtained. The eligible genes are those with a gene name accepted by IPA for having biological functions. An average of 83% of the eligible genes were included in the same network. IPA gives also the top biological functions associated with each cluster.</p
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