19 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
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
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
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
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
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
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
Additional file 3: Figure S2. of FBXO32, encoding a member of the SCF complex, is mutated in dilated cardiomyopathy
Autozygome analysis in the studied family. Autozygosity mapping was performed using AgileMultideogram. The result is showing the single shared ROH (runs of homozygosity) on chromosome 8 between the four affected members (dark blue). (TIF 4051Â kb
Additional file 4: Table S2. of FBXO32, encoding a member of the SCF complex, is mutated in dilated cardiomyopathy
Coverage and sequencing depth of the exome data. (DOCX 17Â kb