8 research outputs found
Behavior of the density current in a semi-closed water body and tidal river
研究科: 千葉大学大学院自然科学研究科博士(学術)報告番号:甲第学287
Functional interaction network of 16 genes.
<p>Genes were clustered according to their associated pathways, which are shaded with a different color. Green nodes indicate down-regulated, red, up-regulated, and linker genes (non-colored nodes). The edges represent interactions between genes, with arrows indicating directed interactions and dotted lines indicating predicted relationships.</p
The 16 overlapping differential expressed genes/proteins in transcriptomic and proteomic data in the study.
<p>The 16 overlapping differential expressed genes/proteins in transcriptomic and proteomic data in the study.</p
Overlapping KEGG pathways for mRNA and proteomics in in dilated cardiomyopathy.
<p>Overlapping KEGG pathways for mRNA and proteomics in in dilated cardiomyopathy.</p
Integrated Left Ventricular Global Transcriptome and Proteome Profiling in Human End-Stage Dilated Cardiomyopathy - Fig 7
<p>Venn diagrams representing overlap of (A) predicted upstream regulators, (B) enriched GO biological processes, and (C) KEGG pathways between differentially expressed genes and proteins.</p
GO Biological Process and pathway analyses of differentially expressed genes (DEGs) and proteins (DEPs) using the PANTHER classification system.
<p>(A-B) Pie charts displaying significantly enriched biological processes respectively, and (C-D) signaling pathways associated with DEGs and DEPs.</p
Gene interaction network analyses of 16 commonly dysregulated proteins/genes based on the Ingenuity knowledge base.
<p>Green indicates down-regulated, and red, up-regulated. The color intensity is correlated with fold change. Straight and dashed lines represent direct or indirect gene to gene interactions, respectively.</p
Validation analyses using independently performed microarray and RNAseq datasets.
<p>(A) <b>The PCA and (B) unsupervised hierarchical clustering using our 16 gene set discriminated individuals as DCM and controls in Barth et al.’s [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0162669#pone.0162669.ref016" target="_blank">16</a>] microarray data</b>. Samples are in the columns and genes are in the rows (gene symbols are listed on the right). The expression level of each gene across samples is scaled to [−3, 3] interval. The expression levels are depicted using a color scale as shown at the top of the figure. (C) <b>PCA analysis using RNA-Seq dataset for (non-ischemic cardiomyopathy (NICM) (n = 8) and normal controls (n = 8) from Yang et al [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0162669#pone.0162669.ref026" target="_blank">26</a>].</b> (D) <b>Venn diagram representing the genes common to DEGs in our DCM patients (Colak et al[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0162669#pone.0162669.ref015" target="_blank">15</a>]) with DEGs in validation datasets from datasets from Yang et al [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0162669#pone.0162669.ref026" target="_blank">26</a>] and Liu et al [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0162669#pone.0162669.ref023" target="_blank">23</a>] for RNA-Seq data for independent samples from human failing heart</b>.</p