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Image Search Results
Journal: Molecular Genetics & Genomic Medicine
Article Title: Identification and functional annotation of metabolism‐associated lnc RNA s and their related protein‐coding genes in gastric cancer
doi: 10.1002/mgg3.427
Figure Lengend Snippet: The top 10 enriched GO terms of differently expressed genes. (a) The top 10 enriched GO terms of upregulated genes. (b) The top 10 enriched GO terms of downregulated genes. (c) Heatmap of differentially expressed genes in our metabolic microarray. The blue bar in the row represents protein‐coding genes, while the red bar in the row represents lnc RNA s
Article Snippet: The
Techniques: Microarray
Journal: Renal Failure
Article Title: Long noncoding RNA PR11-387H17.6 as a potential novel diagnostic biomarker of atherosclerotic renal artery stenosis
doi: 10.1080/0886022X.2021.1956537
Figure Lengend Snippet: Differential expression of lncRNAs in ARAS patients and control individuals. (A) The scatter plots showed LncRNA expression in test samples versus normal samples. X -axis depicted data values of control samples; Y -axis depicted data values of test samples. Dots were located above the upper green line and below the under green line represent fold change ≥1.5, ‘Test’ indicates ARAS samples; ‘Normal,’ control samples. (B) Heat map of lncRNA expression from microarray analysis of combined renal artery tissue samples of patients with ARAS and control subjects (T, renal atherosclerosis tissue; C, normal renal artery tissue). Each row represented one lncRNA and each column represents a sample. The color scale shown at the top illustrated the relative expression level of a lncRNA; red represents high expression and green represented low expression. (C) The volcano plots showed thousands of lncRNAs were significantly different by using lncRNA expression thresholds of more than 1.5-fold change with p <.05. The red point in the plot represented the deferentially expressed Coding genes with statistical significance.
Article Snippet: The RNA was pre-amplified and was subjected to a
Techniques: Quantitative Proteomics, Control, Expressing, Microarray