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microarray data analysis  (Genminix Informatics Co Ltd)

 
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    Genminix Informatics Co Ltd microarray data analysis
    Microarray Data Analysis, supplied by Genminix Informatics Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/genesifter%E2%84%A2+microarray+data+analysis+system/microarray+data+analysis/pmc04665926-180-0-5
    Average 90 stars, based on 1 article reviews
    microarray data analysis - by Bioz Stars, 2026-10
    90/100 stars

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    Microarray:

    Article Title: High Concentrations of Uric Acid Inhibit Angiogenesis via Regulation of the Krüppel-Like Factor 2-Vascular Endothelial Growth Factor-A Axis by miR-92a
    Article Snippet: .. The microarray data were analyzed by Genminix Informatics (Shanghai, China). ..

    Article Title: Differences in gene expression profiles and carcinogenesis pathways between colon and rectal cancer.
    Article Snippet: This work was supported by the Beijing Municipal Science and Technology Commission (No. Z080507030808012). .. Microarray data were analyzed by Genminix Informatics (Shanghai, China). ..



    Article Title: Helicobacter pylori –Induced Rev-erbα Fosters Gastric Bacteria Colonization by Impairing Host Innate and Adaptive Defense
    Article Snippet: .. Microarray data analysis was performed with the assistance of Genminix Informatics (Shanghai, China). ..

    Article Title: A pro-inflammatory role for Th22 cells in Helicobacter pylori -associated gastritis
    Article Snippet: .. Microarray data analysis was performed with the assistance of Genminix Informatics. ..

    Article Title: Direct targeting of SUZ12/ROCK2 by miR-200b/c inhibits cholangiocarcinoma tumourigenesis and metastasis
    Article Snippet: RNA labelling and hybridisation on Agilent miRNA microarray chips were performed with an miRNA Labelling Reagent and Hybridization Kit (Agilent Technologies). .. Microarray data analyses including GO analysis, Pathway Analysis, Path-net, Signal-net, and MicroRNA-gene network were performed (Genminix Company, Shanghai, China). ..



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    BMDMs RNA was obtained from individual wt and IRF8 mutant F2 mice either prior to (unstimulated control) or 3 hrs following stimulation with IFNγ/CpG (6 samples per experimental group; 24 samples in total), and hybridized to microarrays. (A) By using a 2×2 interaction Anova analysis, 368 genes were recognized to be significantly differentially modulated by IRF8 in response to IFNγ/CpG exposure between the wt and IRF8 mutant cells. The expression profiles are ordered by hierarchical clustering; the genes, illustrated by their specific signal intensities (Log 2 scale) are displayed as rows and individual mouse samples/conditions as columns. Red coloring signifies high level of expression; green coloring denotes low level of expression. The dendrogram illustrates the clustering of the samples according to expression pattern similarities. RNA samples (6 per experimental group) used for this transcriptional profiling analysis were pooled and used for qPCR validation. Ephx1 , Cyp27a1 , Ciita , and Il10ra were selected as genes positively affected by the presence of functional IRF8 following IFNγ/CpG exposure (B), while Ms4a7 , C1qb , Angptl4 , and Slc40a1 were selected as genes negatively affected by the presence of a functional IRF8 following IFNγ/CpG exposure (C). The ratios of expression (IFNγ/CpG-stimulated versus unstimulated control), represented by fold induction, were calculated for the wt and IRF8 mutant mice separately (white bars), and compared to the corresponding microarray results (black bars). The black dots indicate the qPCR values obtained for each replicate. The microarray results were statistically significant according to Anova analysis ( t test p value of 0.05 and a fold-change cutoff of 1.5X). Hprt was used to standardize the mRNA levels of target genes for qPCR.

    Journal: PLoS Genetics

    Article Title: Interferon Regulatory Factor 8 Regulates Pathways for Antigen Presentation in Myeloid Cells and during Tuberculosis

    doi: 10.1371/journal.pgen.1002097

    Figure Lengend Snippet: BMDMs RNA was obtained from individual wt and IRF8 mutant F2 mice either prior to (unstimulated control) or 3 hrs following stimulation with IFNγ/CpG (6 samples per experimental group; 24 samples in total), and hybridized to microarrays. (A) By using a 2×2 interaction Anova analysis, 368 genes were recognized to be significantly differentially modulated by IRF8 in response to IFNγ/CpG exposure between the wt and IRF8 mutant cells. The expression profiles are ordered by hierarchical clustering; the genes, illustrated by their specific signal intensities (Log 2 scale) are displayed as rows and individual mouse samples/conditions as columns. Red coloring signifies high level of expression; green coloring denotes low level of expression. The dendrogram illustrates the clustering of the samples according to expression pattern similarities. RNA samples (6 per experimental group) used for this transcriptional profiling analysis were pooled and used for qPCR validation. Ephx1 , Cyp27a1 , Ciita , and Il10ra were selected as genes positively affected by the presence of functional IRF8 following IFNγ/CpG exposure (B), while Ms4a7 , C1qb , Angptl4 , and Slc40a1 were selected as genes negatively affected by the presence of a functional IRF8 following IFNγ/CpG exposure (C). The ratios of expression (IFNγ/CpG-stimulated versus unstimulated control), represented by fold induction, were calculated for the wt and IRF8 mutant mice separately (white bars), and compared to the corresponding microarray results (black bars). The black dots indicate the qPCR values obtained for each replicate. The microarray results were statistically significant according to Anova analysis ( t test p value of 0.05 and a fold-change cutoff of 1.5X). Hprt was used to standardize the mRNA levels of target genes for qPCR.

    Article Snippet: The GeneSifter™ microarray data analysis system (Geospiza Inc., Seattle, WA, USA) was used to examine data generated from comparisons between control (unstimulated) and IFNγ/CpG-stimulated (3 hrs) groups.

    Techniques: Mutagenesis, Expressing, Functional Assay, Microarray