48 research outputs found

    Numbers of statistically significant genes upregulated and downregulated at 24 and 36 hpf in response to GR knockdown.

    No full text
    <p>Of 12261 potential unique genes, the mRNA expression of 1313 were found to be statistically significantly changed at 24 hpf, with 583 downregulated (grey) and 730 upregulated (black). 836 genes were changed with statistical significance at 36 hpf, of which 243 were downregulated and 593 were upregulated. (n=3 pools of 25 embryos used for microarray analysis, P≤0.05, Students <i>t</i>-test with Benjamini-Hochberg false-discovery rate correction).</p

    The Transcriptomics of Glucocorticoid Receptor Signaling in Developing Zebrafish

    Get PDF
    <div><p>Cortisol is the primary corticosteroid in teleosts that is released in response to stressor activation of the hypothalamus-pituitary-interrenal axis. The target tissue action of this hormone is primarily mediated by the intracellular glucocorticoid receptor (GR), a ligand-bound transcription factor. In developing zebrafish (<i>Danio rerio</i>) embryos, GR transcripts and cortisol are maternally deposited into the oocyte prior to fertilization and influence early embryogenesis. To better understand of the molecular mechanisms involved, we investigated changes in the developmental transcriptome prior to hatch, in response to morpholino oligonucleotide knockdown of GR using the Agilent zebrafish microarray platform. A total of 1313 and 836 mRNA transcripts were significantly changed at 24 and 36 hours post fertilization (hpf), respectively. Functional analysis revealed numerous developmental processes under GR regulation, including neurogenesis, eye development, skeletal and cardiac muscle formation. Together, this study underscores a critical role for glucocorticoid signaling in programming molecular events essential for zebrafish development.</p> </div

    Cortisol upregulates SOCS mRNA abundance.

    No full text
    <p>The effect of cortisol on the temporal profiles of SOCS-1 (A) and SOCS-2 (B) mRNA abundance in rainbow trout liver. Liver slices were incubated with either control media or media containing cortisol (100 ng/ml) for 1, 4, 6, 8 and 24 h. Values are plotted as % control and show mean ± S.E.M (n = 6 fish livers); different lower case letters denote significant treatment effects within each timepoint; (two way ANOVA, p < 0.05).</p

    Distribution of fold-change for statistically significant genes at 24 and 36 hpf in response to GR knockdown.

    No full text
    <p>This figure presents the frequency of genes that were up- or down-regulated at specific fold-change ranges at 24 hpf (A) or 36 hpf (B). In general, there was a relatively normal distribution at 24 hpf, with relatively few genes showing extreme fold changes and a balance between up and downregulation. At 36 hpf, a far greater percentage of genes were upregulated than downregulated, and none showed reduction as severe as at 24 hpf.</p

    Confirmation of microarray findings by qPCR analysis.

    No full text
    <p>qPCR analysis was performed on 7 genes to confirm the transcript abundance seen with the microarray analysis. The selected genes were <i>bmp7a</i> (A), <i>f5</i> (B)<i>, ff1d</i> (C), <i>myom1a</i> (D), <i>pomca</i> (E), star (F), <i>mc1r</i> (G). Data is presented as mean ± standard error of the mean (normalized to β-actin, SEM; n=5-7 pools of 25 embryos each); * denotes statistical significance (<i>t</i>-test, p<0.05). (See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0080726#pone-0080726-t007" target="_blank">Table 7</a> for fold-changes and p-values).</p

    Stress-Immune-Growth Interactions: Cortisol Modulates Suppressors of Cytokine Signaling and JAK/STAT Pathway in Rainbow Trout Liver

    No full text
    <div><p>Chronic stress is a major factor in the poor growth and immune performance of salmonids in aquaculture. However, the molecular mechanisms linking stress effects to growth and immune dysfunction is poorly understood. The suppressors of cytokine signaling (SOCS), a family of genes involved in the inhibition of JAK/STAT pathway, negatively regulates growth hormone and cytokine signaling, but their role in fish is unclear. Here we tested the hypothesis that cortisol modulation of SOCS gene expression is a key molecular mechanism leading to growth and immune suppression in response to stress in fish. Exposure of rainbow trout (<i>Oncorhynchus mykiss</i>) liver slices to cortisol, mimicking stress level, upregulated SOCS-1 and SOCS-2 mRNA abundance and this response was abolished by the glucocorticoid receptor antagonist mifepristone. Bioinformatics analysis confirmed the presence of putative glucocorticoid response elements in rainbow trout SOCS-1 and SOCS-2 promoters. Prior cortisol treatment suppressed acute growth hormone (GH)-stimulated IGF-1 mRNA abundance in trout liver and this involved a reduction in STAT5 phosphorylation and lower total JAK2 protein expression. Prior cortisol treatment also suppressed lipopolysaccharide (LPS)-induced IL-6 but not IL-8 transcript levels; the former but not the latter cytokine expression is via JAK/STAT phosphorylation. LPS treatment reduced GH signaling, but this was associated with the downregulation of GH receptors and not due to the upregulation of SOCS transcript levels by this endotoxin. Collectively, our results suggest that upregulation of SOCS-1 and SOCS-2 transcript levels by cortisol, and the associated reduction in JAK/STAT signaling pathway, may be a novel mechanism leading to growth reduction and immune suppression during stress in trout.</p></div

    Functional annotation (using Ingenuity Pathway Analysis software) of genes that were upregulated and downregulated by GR knockdown.

    No full text
    <p>Ingenuity pathway analysis software identified prominent developmental pathways that were significantly affected by GR knockdown based on the significantly changed genes at 24 hpf (A) and 36 hpf (B). Each pathway is named and the total number of genes as well as the number of upregulated and downregulated genes is listed (See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0080726#pone-0080726-t005" target="_blank">Tables 5</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0080726#pone-0080726-t006" target="_blank">6</a> for complete list of genes).</p

    A proposed model for cortisol effect on growth and immune suppression in trout liver.

    No full text
    <p>Stressed levels of cortisol elevate SOCS transcript levels and reduce GH signaling and the corresponding IGF-1 expression in rainbow trout liver by preventing STAT5 phosphorylation and decreasing total JAK2 protein expression. The cortisol-induced upregulation of SOCS may be playing a role in the suppression of LPS-induced IL-6 expression (a cytokine signaling through the JAK/STAT pathway). Immune challenge with LPS may indirectly inhibit GH signaling by elevating plasma cortisol levels or directly inhibit GH signaling and the corresponding IGF-1 expression by downregulating growth hormone receptors 1 and 2 and by preventing STAT5 phosphorylation.</p

    Effect of cortisol and LPS on GH receptors.

    No full text
    <p>The effect of cortisol and LPS on GHR1 (A) and GHR2 (B) mRNA abundance in rainbow trout liver. Rainbow trout liver slices were pre-incubated with control media or media containing cortisol (100 ng/ml; Sigma), LPS (30 μg/ml) or a combination of cortisol and LPS for 24 h. Values are plotted as % control and show mean ± S.E.M (n = 6 fish livers); different lower case letters denote significant treatment effects; * denotes overall cortisol effects (two way repeated measures ANOVA, p < 0.05).</p

    Interactome networks of select pathways identified as GR responsive by Ingenuity Pathway Analysis software.

    No full text
    <p>The IPA software organized and classified genes to identify important networks that were modulated by GR knockdown. These interactome networks detail the regulatory connections between genes as detailed by the connective arrows. The most strongly affected process was nervous system development at both 24 hpf (A) and 36 hpf (B). Other interesting pathways are DNA replication and energy production at 24 hpf (C), cardiovascular development at 36 hpf (D) and developmental disorders at 36 hpf (E). These final 3 pathways each involve a gene that were quantified by qPCR (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0080726#pone-0080726-g004" target="_blank">Figure 4</a>): <i>f5</i> (C, E), and <i>pomca</i> (D). Single-way arrows indicate one gene regulating another, two-sided arrows indicate co-regulation, looped arrows indicate self-regulation. The shape of each member of the network indicates its cellular location (according to IPA software classifications): Extracellular (diamond); plasma membrane (hexagon); cytosol (square); nucleus (circle); unknown (triangle). The color of each member of the network indicates its mean fold change range: >2 (dark green); 1-2 (light green); unchanged (grey); 0.5-1 (light red), <0.5 (dark red).</p
    corecore