6 research outputs found

    Distribution of DEGs.

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    <p>(A) The dot graph shows each DEG between the LLG and SLG. log<sub>2</sub>-fold change between fragments per kilobase of exon per million reads mapped (FPKM) in the SLG and LLG according to the Cufflinks package are presented along the <i>x</i> axis. Red dots represent significantly altered DEGs between the LLG and SLG (<i>p</i> < 0.05, fold change > 1.5, the decimal system). The <i>y</i> axis indicates significance as -log (<i>p</i> value). (B) The number of downregulated and upregulated DEGs in the LLG compared with the SLG.</p

    GO enrichment analysis.

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    <p>GO enrichment analysis was performed for the upregulated (A) and downregulated (B) DEGs. The <i>x</i> axis indicates the significance of DEGs as −log (<i>p</i> value). The number of genes in each category is shown on the <i>y</i> axis, as indicated in parentheses.</p

    RT-qPCR analysis of <i>EGR2</i>, <i>PHEROC</i> and <i>LIPG</i> in placental tissue.

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    <p>Three different placentas from LLG and SLG were prepared immediately following delivery and subjected to RT-qPCR analysis. The fold change of validation (upper panel) and RNA-Seq (lower panel) for the (A) <i>EGR2</i>, (B) <i>PHEROC</i> and (C) <i>LIPG</i> genes are presented. The RT-qPCR data were analyzed by relative quantification using 2<sup>-ΔΔCt</sup>. Data are expressed as means ± standard deviation (S.D.). Each experiment was performed in triplicate. *, <i>p</i> < 0.05 versus SLG.</p

    Identification of DEGs by RNA-Seq analysis.

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    <p>The number of annotated genes using RNA-seq is shown. A total of 14,511 genes in the LLG and 14,824 genes in the SLG were detected. The number of commonly expressed genes among both groups was 13,970.</p

    RT-qPCR analysis to assess <i>TCF12</i>, <i>CTNNB1</i>, <i>WNT11</i>, <i>WNT9B</i> and <i>IL-6</i> mRNA expression.

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    <p>RNAs from three different individual placentas each were prepared from LLG and SLG. RT-qPCR was performed using gene-specific primers. <i>PPIA</i> was used as a universal control. The RT-qPCR data were analyzed by relative quantification using 2<sup>-ΔΔCt</sup>. Data are expressed as means ± standard deviation (S.D.). Each experiment was performed in triplicate. *, <i>p</i> < 0.05 versus SLG.</p
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