Journal: Circulation. Heart failure

Article Title: Differential microRNA-21 and microRNA-221 upregulation in the biventricular failing heart reveals distinct stress responses of right versus left ventricular fibroblasts

doi: 10.1161/CIRCHEARTFAILURE.119.006426

Figure Lengend Snippet: (A)Volcano plot of miRNA expression in RV-HF vs RV-Ctrl. Blue dots, miRNAs that were differentially expressed at P<0.10. Labeled dots, miRNAs that were differentially expressed at a minimum 2-fold change in either direction (n=3 per group). (B)Heat maps, Venn diagram, and summary bar graph of differentially expressed miRNAs. Orange font, differentially expressed in RV-HF vs RV-Ctrl and in LV-HF vs LV-Ctrl but not statistically significantly different in RV-HF vs LV-HF. Blue font, differentially expressed in RV-HF vs RV-Ctrl and in RV-HF vs LV-HF, but not statistically significantly different in LV-HF vs LV-Ctrl. Purple font, differentially expressed across all three comparisons: LV-HF vs LV-Ctrl, RV-HF vs RV-Ctrl, and RV-HF vs LV-HF. *P<0.05 vs respective LV-HF/LV-Ctrl. (C)Quantitative RT-PCR analysis of miR-21 and miR-221 in ventricular tissue, n= 6 per group. *P<0.01 vs respective Ctrl; #P<0.01 vs LV HF. (D)Cyclic overstretch and/or aldosterone induced a marked increase in miR-21 (*P<0.01 vs unstimulated) and (E)miR-221 (*P<0.05 vs unstimulated) only in RV fibroblasts. (F)Inhibition of miR-21/−221 attenuated proliferation in RV but not LV fibroblasts. n= 4 per experimental condition. *P<0.05 vs respective LV, #P<0.05 vs RV without antimir, analyzed by ANOVA on Ranks.

Article Snippet: miRNA microarray data was analyzed for differential miRNA expression between pre-specified groups (RV-HF vs. RV-Ctrl, LV-HF vs. LV-Ctrl, and RV-HF vs. LV-HF) by two-tailed Student’s t-test using GraphPad Software (Prism 7.0).

Techniques: Expressing, Labeling, Quantitative RT-PCR, Inhibition

Journal: BMC Genomics

Article Title: Global gene expression in endometrium of high and low fertility heifers during the mid-luteal phase of the estrous cycle

doi: 10.1186/1471-2164-15-234

Figure Lengend Snippet: Genes validated between RT-qPCR and microarray methodologies, including correlation coefficients (R) (n=12).

Article Snippet: To examine the molecular functions and genetic networks, the microarray data were further analyzed using Ingenuity Pathway Analysis (v. 8.8, Ingenuity Systems, Mountain View, CA; http://www.ingenuity.com ), a web-based software application that enables identification of over-represented biological mechanisms, pathways, and functions most relevant to experimental datasets or genes of interest [ , – ].

Techniques: Quantitative RT-PCR, Microarray

Journal: International Journal of Molecular Sciences

Article Title: Transcriptional Analysis of Hair Follicle-Derived Keratinocytes from Donors with Atopic Dermatitis Reveals Enhanced Induction of IL32 Gene by IFN-γ

doi: 10.3390/ijms14023215

Figure Lengend Snippet: Genes showing differential expression between FDKs from donors with atopic dermatitis (AD) and from non-atopic controls (Non-AD) by microarray analysis, as determined by comparison analysis using a permutation test. The log 2 ratio (the Cy5 to Cy3 fluorescence intensity using the same Cy3-labelled probe, consisting of a mixture of NHEK extracts and Universal Human Reference RNA, as a reference) was used as a expression level. For comparative studies of gene expression between AD-FDKs and Non-AD-FDKs, a permutation test was performed (number of permutations: 500) and 827 genes were extracted. In this figure, 11 genes that exhibit a difference of at least 2-fold and meet the criterion p < 0.05 are visualized as the tree after hierarchical clustering (Distance; pearson uncentered, Linkage; complete).

Article Snippet: Probes with poor-quality signals (signal/noise < 1.2) and those with null data at a frequency of more than 35% in all samples were filtered out using the microarray data analysis software Expressionist (GeneData AG, Basel, Switzerland); after this procedure, 13,722 probes remained.

Techniques: Quantitative Proteomics, Microarray, Comparison, Fluorescence, Expressing, Gene Expression