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microarray data analysis  (FIOS Genomics)

 
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    FIOS Genomics microarray data analysis
    Sample–sample network graph of <t>microarray</t> data. Normalized expression data for the top up-and down-regulated genes ( P < 0.05, fold change ≥ 1.2) identified by microarray analysis were visualized using BioLayout Express 3D . Each node represents a different patient sample and edges are coloured to reflect the Pearson correlation that they represent. Red edges indicate high correlation, and blue edges represent low correlation. The same data set is used for each graph. ( A ) unbiased MCL cluster (MCLi = 20). ( B ) Nodes are coloured by gestation and labour status into our four sample groups: TNL ( n = 11), TL ( n = 9), PTNL ( n = 7) and PTL ( n = 8).
    Microarray Data Analysis, supplied by FIOS Genomics, 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/pmc05909855-154-0-6
    Average 90 stars, based on 1 article reviews
    microarray data analysis - by Bioz Stars, 2026-10
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    1) Product Images from "Immune cell and transcriptomic analysis of the human decidua in term and preterm parturition"

    Article Title: Immune cell and transcriptomic analysis of the human decidua in term and preterm parturition

    Journal: Molecular Human Reproduction

    doi: 10.1093/molehr/gax038

    Sample–sample network graph of microarray data. Normalized expression data for the top up-and down-regulated genes ( P < 0.05, fold change ≥ 1.2) identified by microarray analysis were visualized using BioLayout Express 3D . Each node represents a different patient sample and edges are coloured to reflect the Pearson correlation that they represent. Red edges indicate high correlation, and blue edges represent low correlation. The same data set is used for each graph. ( A ) unbiased MCL cluster (MCLi = 20). ( B ) Nodes are coloured by gestation and labour status into our four sample groups: TNL ( n = 11), TL ( n = 9), PTNL ( n = 7) and PTL ( n = 8).
    Figure Legend Snippet: Sample–sample network graph of microarray data. Normalized expression data for the top up-and down-regulated genes ( P < 0.05, fold change ≥ 1.2) identified by microarray analysis were visualized using BioLayout Express 3D . Each node represents a different patient sample and edges are coloured to reflect the Pearson correlation that they represent. Red edges indicate high correlation, and blue edges represent low correlation. The same data set is used for each graph. ( A ) unbiased MCL cluster (MCLi = 20). ( B ) Nodes are coloured by gestation and labour status into our four sample groups: TNL ( n = 11), TL ( n = 9), PTNL ( n = 7) and PTL ( n = 8).

    Techniques Used: Microarray, Expressing

    QRT-PCR validations of gene expression changes in TL decidua samples. Decidual expression of selected genes identified as significantly elevated in TL in the microarray analysis was examined across our four sample groups by qRT-PCR [TNL ( n = 11), TL ( n = 9), PTNL ( n = 7) and PTL ( n = 10)]. ( A ) IL-6 expression, ( B ) PTGS2 expression, ( C ) IER3 expression, ( D ) TNFAIP3 expression and ( E ) ATF3 expression. Data are presented as mean fold change ± SEM. Data were analysed by one-way ANOVA followed by Tukey post hoc test. * P < 0.05, *** P < 0.001.
    Figure Legend Snippet: QRT-PCR validations of gene expression changes in TL decidua samples. Decidual expression of selected genes identified as significantly elevated in TL in the microarray analysis was examined across our four sample groups by qRT-PCR [TNL ( n = 11), TL ( n = 9), PTNL ( n = 7) and PTL ( n = 10)]. ( A ) IL-6 expression, ( B ) PTGS2 expression, ( C ) IER3 expression, ( D ) TNFAIP3 expression and ( E ) ATF3 expression. Data are presented as mean fold change ± SEM. Data were analysed by one-way ANOVA followed by Tukey post hoc test. * P < 0.05, *** P < 0.001.

    Techniques Used: Quantitative RT-PCR, Gene Expression, Expressing, Microarray

    QRT-PCR validations of gene expression changes in PTL decidua samples. Decidual gene expression of selected genes identified as significantly elevated in PTL samples in the microarray analysis was examined across our four sample groups by qRT-PCR [TNL ( n = 11), TL ( n = 9), PTNL ( n = 7), PTL ( n = 10)]. ( A ) CXCL8 expression, ( B ) MARCO expression, ( C ) LILRA3 expression, ( D ) FGA expression, ( E ) FGB expression, ( F ) FGG expression, ( G ) PLAT expression and ( H ) PLAU expression. Data are presented as mean fold change ± SEM. Data were analysed by one-way ANOVA followed by Tukey post hoc test. * P < 0.05, ** P < 0.01.
    Figure Legend Snippet: QRT-PCR validations of gene expression changes in PTL decidua samples. Decidual gene expression of selected genes identified as significantly elevated in PTL samples in the microarray analysis was examined across our four sample groups by qRT-PCR [TNL ( n = 11), TL ( n = 9), PTNL ( n = 7), PTL ( n = 10)]. ( A ) CXCL8 expression, ( B ) MARCO expression, ( C ) LILRA3 expression, ( D ) FGA expression, ( E ) FGB expression, ( F ) FGG expression, ( G ) PLAT expression and ( H ) PLAU expression. Data are presented as mean fold change ± SEM. Data were analysed by one-way ANOVA followed by Tukey post hoc test. * P < 0.05, ** P < 0.01.

    Techniques Used: Quantitative RT-PCR, Gene Expression, Microarray, Expressing

    Related Articles

    Microarray:

    Article Title: Immune cell and transcriptomic analysis of the human decidua in term and preterm parturition
    Article Snippet: .. Microarray data analysis was performed by Fios Genomics Ltd (Bioquarter, Edinburgh, UK). ..



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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.

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    Techniques: Mutagenesis, Expressing, Functional Assay, Microarray