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codelink software package  (Agilent technologies)


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    Agilent technologies codelink software package
    Codelink Software Package, supplied by Agilent technologies, 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/result/codelink software package/product/Agilent technologies
    Average 90 stars, based on 1 article reviews
    codelink software package - by Bioz Stars, 2026-05
    90/100 stars

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    Transcriptional profiling of KIR2D− and KIR2D+ CD8+ T cells. ( A ) Differential gene expression profile <t>(CodeLink</t> Genome Array) of KIR− (column 1), KIR2DL1/S1+ (column 2), and KIR2DL2/L3/S2+ (column 3) CD8+ T cell subsets. The figure shows the top 40 most significantly modulated genes (designed with http://www.ehbio.com/ImageGP/ ). ( B ) Total number of up- and down-regulated genes in each KIR2D+ CD8+ T cell subset (analysis performed with jvenn software). ( C ) Microarray results were confirmed with real time quantitative RT-PCR (qPCR) analysis. Expression ratio (upper plot) and relative fold changes (lower plot) are shown for microarray and qPCR assays, respectively. Differential gene expression was considered significant with p < 0.05 in three independent cells preparations. Mean fold-changes in gene transcript expression levels between KIR2D− and KIR2D+ were evaluated with 2 ΔΔCt . ( D ) Shows the normalized intensity of important molecules in the cytotoxic T cell biology and interleukin or interleukin receptors.
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    Transcriptional profiling of KIR2D− and KIR2D+ CD8+ T cells. ( A ) Differential gene expression profile <t>(CodeLink</t> Genome Array) of KIR− (column 1), KIR2DL1/S1+ (column 2), and KIR2DL2/L3/S2+ (column 3) CD8+ T cell subsets. The figure shows the top 40 most significantly modulated genes (designed with http://www.ehbio.com/ImageGP/ ). ( B ) Total number of up- and down-regulated genes in each KIR2D+ CD8+ T cell subset (analysis performed with jvenn software). ( C ) Microarray results were confirmed with real time quantitative RT-PCR (qPCR) analysis. Expression ratio (upper plot) and relative fold changes (lower plot) are shown for microarray and qPCR assays, respectively. Differential gene expression was considered significant with p < 0.05 in three independent cells preparations. Mean fold-changes in gene transcript expression levels between KIR2D− and KIR2D+ were evaluated with 2 ΔΔCt . ( D ) Shows the normalized intensity of important molecules in the cytotoxic T cell biology and interleukin or interleukin receptors.
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    Transcriptional profiling of KIR2D− and KIR2D+ CD8+ T cells. ( A ) Differential gene expression profile <t>(CodeLink</t> Genome Array) of KIR− (column 1), KIR2DL1/S1+ (column 2), and KIR2DL2/L3/S2+ (column 3) CD8+ T cell subsets. The figure shows the top 40 most significantly modulated genes (designed with http://www.ehbio.com/ImageGP/ ). ( B ) Total number of up- and down-regulated genes in each KIR2D+ CD8+ T cell subset (analysis performed with jvenn software). ( C ) Microarray results were confirmed with real time quantitative RT-PCR (qPCR) analysis. Expression ratio (upper plot) and relative fold changes (lower plot) are shown for microarray and qPCR assays, respectively. Differential gene expression was considered significant with p < 0.05 in three independent cells preparations. Mean fold-changes in gene transcript expression levels between KIR2D− and KIR2D+ were evaluated with 2 ΔΔCt . ( D ) Shows the normalized intensity of important molecules in the cytotoxic T cell biology and interleukin or interleukin receptors.
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    Transcriptional profiling of KIR2D− and KIR2D+ CD8+ T cells. ( A ) Differential gene expression profile (CodeLink Genome Array) of KIR− (column 1), KIR2DL1/S1+ (column 2), and KIR2DL2/L3/S2+ (column 3) CD8+ T cell subsets. The figure shows the top 40 most significantly modulated genes (designed with http://www.ehbio.com/ImageGP/ ). ( B ) Total number of up- and down-regulated genes in each KIR2D+ CD8+ T cell subset (analysis performed with jvenn software). ( C ) Microarray results were confirmed with real time quantitative RT-PCR (qPCR) analysis. Expression ratio (upper plot) and relative fold changes (lower plot) are shown for microarray and qPCR assays, respectively. Differential gene expression was considered significant with p < 0.05 in three independent cells preparations. Mean fold-changes in gene transcript expression levels between KIR2D− and KIR2D+ were evaluated with 2 ΔΔCt . ( D ) Shows the normalized intensity of important molecules in the cytotoxic T cell biology and interleukin or interleukin receptors.

    Journal: Cancers

    Article Title: KIR+ CD8+ T Lymphocytes in Cancer Immunosurveillance and Patient Survival: Gene Expression Profiling

    doi: 10.3390/cancers12102991

    Figure Lengend Snippet: Transcriptional profiling of KIR2D− and KIR2D+ CD8+ T cells. ( A ) Differential gene expression profile (CodeLink Genome Array) of KIR− (column 1), KIR2DL1/S1+ (column 2), and KIR2DL2/L3/S2+ (column 3) CD8+ T cell subsets. The figure shows the top 40 most significantly modulated genes (designed with http://www.ehbio.com/ImageGP/ ). ( B ) Total number of up- and down-regulated genes in each KIR2D+ CD8+ T cell subset (analysis performed with jvenn software). ( C ) Microarray results were confirmed with real time quantitative RT-PCR (qPCR) analysis. Expression ratio (upper plot) and relative fold changes (lower plot) are shown for microarray and qPCR assays, respectively. Differential gene expression was considered significant with p < 0.05 in three independent cells preparations. Mean fold-changes in gene transcript expression levels between KIR2D− and KIR2D+ were evaluated with 2 ΔΔCt . ( D ) Shows the normalized intensity of important molecules in the cytotoxic T cell biology and interleukin or interleukin receptors.

    Article Snippet: Normalized data from the CodeLink software package were analyzed and only the genes that passed the CodeLink Bioarray quality controls were selected.

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