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microarray data analysis  (FIOS Genomics)

 
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    Structured Review

    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/microarray+data+analysis+raw+data/pmc05909855-154-0-6?v=FIOS+Genomics
    Average 90 stars, based on 1 article reviews
    microarray data analysis - by Bioz Stars, 2026-08
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    Images

    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



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    Image Search Results


    Microarray analysis using mRNA from p16−/− BMDM compared to p16+/+ BMDM showed (A) decreased mRNA expression of classically activated macrophages-associated genes and (B) increased mRNA expression of alternatively activated macrophages-associated genes. Data is expressed as fold change relative to p16+/+ BMDM. (C) Differential gene expression in p16−/− BMDM relative to p16+/+ BMDM was correlated with the changes induced in IL-4-induced p16+/+ AAMφ. The figure shows 2log values of the probesets significantly (p<0.05) regulated only in p16−/− BMDM (red dots), only in IL-4-polarized p16+/+ AAMφ (green dots) and by both conditions (blue dots), compared to p16+/+ BMDM. The X-axis represents differences in gene expression induced by IL-4, whereas the Y-axis represents the effect of p16INKa-deficiency. These comparisons are depicted in the schematic representation of the protocol in the corresponding colors. Pearson Correlation analysis was done for probesets differentially expressed by both conditions (blue). (D) Heat map of p16+/+ BMDM, p16−/− BMDM, IL-4-polarized p16+/+ and p16−/− AAMφ gene expression profiles. Colors fluctuate from blue (poorly expressed) to green (intermediate expression) and yellow (high expression). Additional information regarding gene description, fold induction, and p-value can be found in Table S3.

    Journal: Blood

    Article Title: p16 INK4a deficiency promotes IL-4-induced polarization and inhibits proinflammatory signaling in macrophages

    doi: 10.1182/blood-2010-10-313106

    Figure Lengend Snippet: Microarray analysis using mRNA from p16−/− BMDM compared to p16+/+ BMDM showed (A) decreased mRNA expression of classically activated macrophages-associated genes and (B) increased mRNA expression of alternatively activated macrophages-associated genes. Data is expressed as fold change relative to p16+/+ BMDM. (C) Differential gene expression in p16−/− BMDM relative to p16+/+ BMDM was correlated with the changes induced in IL-4-induced p16+/+ AAMφ. The figure shows 2log values of the probesets significantly (p<0.05) regulated only in p16−/− BMDM (red dots), only in IL-4-polarized p16+/+ AAMφ (green dots) and by both conditions (blue dots), compared to p16+/+ BMDM. The X-axis represents differences in gene expression induced by IL-4, whereas the Y-axis represents the effect of p16INKa-deficiency. These comparisons are depicted in the schematic representation of the protocol in the corresponding colors. Pearson Correlation analysis was done for probesets differentially expressed by both conditions (blue). (D) Heat map of p16+/+ BMDM, p16−/− BMDM, IL-4-polarized p16+/+ and p16−/− AAMφ gene expression profiles. Colors fluctuate from blue (poorly expressed) to green (intermediate expression) and yellow (high expression). Additional information regarding gene description, fold induction, and p-value can be found in Table S3.

    Article Snippet: We thank E. Vallez for mouse breeding, J. Brozek (Genfit SA, Loos, France) for microarray raw data analysis, T. Coevoet, N. Jouy and A. Lucas for technical assistance.

    Techniques: Microarray, Expressing, Gene Expression

    Representation of the relative microarray intensity values from a selection of down-regulated genes in p16+/+ and p16−/− BMDM with or without polarization (AAMφ) by 15 ng/mL IL-4 from day 0 of differentiation. Statistically significant differences are indicated (a: p<0.05 compared to p16+/+ BMDM; b: p<0.05 compared to p16−/− BMDM; c: p<0.05 compared to p16+/+ AAMφ.)

    Journal: Blood

    Article Title: p16 INK4a deficiency promotes IL-4-induced polarization and inhibits proinflammatory signaling in macrophages

    doi: 10.1182/blood-2010-10-313106

    Figure Lengend Snippet: Representation of the relative microarray intensity values from a selection of down-regulated genes in p16+/+ and p16−/− BMDM with or without polarization (AAMφ) by 15 ng/mL IL-4 from day 0 of differentiation. Statistically significant differences are indicated (a: p<0.05 compared to p16+/+ BMDM; b: p<0.05 compared to p16−/− BMDM; c: p<0.05 compared to p16+/+ AAMφ.)

    Article Snippet: We thank E. Vallez for mouse breeding, J. Brozek (Genfit SA, Loos, France) for microarray raw data analysis, T. Coevoet, N. Jouy and A. Lucas for technical assistance.

    Techniques: Microarray, Selection

    Validation of DNA Microarray Results by qPCR

    Journal: Investigative Ophthalmology & Visual Science

    Article Title: Perimysial Fibroblasts of Extraocular Muscle, as Unique as the Muscle Fibers

    doi: 10.1167/iovs.08-2857

    Figure Lengend Snippet: Validation of DNA Microarray Results by qPCR

    Article Snippet: DNA Microarray Data Analysis Raw data from microarray scans were analyzed with microarray analysis software (GCOS 2.0; Affymetrix).

    Techniques: Biomarker Discovery, Microarray