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codelink software package  (VizX Labs)

 
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    VizX Labs codelink software package
    Codelink Software Package, supplied by VizX Labs, 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/codelink+software+package/codelink+software+package/pm16304452-39-4-12
    Average 90 stars, based on 1 article reviews
    codelink software package - by Bioz Stars, 2026-09
    90/100 stars

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    Software:

    Article Title: Influence of androgens on gene expression in the BALB/c mouse submandibular gland.
    Article Snippet: We have recently found that significant sex-related differences exist in gene expression in the submandibular, parotid, and sublingual glands (Treister et al., 2005).. Many of these differences are gland-specific and involve genes that regulate numerous biological processes, such as cell proliferation, cell cycle regulation, growth factor activity, immune response, protein glycosylation, lipid metabolism, steroid biosynthesis, pain perception, and angiogenesis.. We hypothesized that many of these sexrelated differences in gene expression are due to the effects of androgens.



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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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    codelink software package  (VizX Labs)
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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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    Image Search Results


    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