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Geospiza Inc codelink software package
Codelink Software Package, supplied by Geospiza Inc, 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/pm28744812-55-4-12
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: Development of a multilevel approach for the evaluation of nanomaterials' toxicity.
Article Snippet: Engineered nanomaterials are increasingly being used for commercial purposes (catalysts, semiconductors, cosmetics and microelectronics).. Their utilization will certainly also increase in the field of medicine for in vitro diagnostics, medical imaging and for drug or vaccine delivery.. Biomedical application of such nanoparticles may imply deliberate contact of these materials by direct ingestion or injection into the body.

Article Title: In vivo effects of dexamethasone on blood gene expression in ataxia telangiectasia.
Article Snippet: Ataxia telangiectasia (AT) is a rare incurable genetic disease caused by biallelic mutations in the Ataxia telangiectasia-mutated gene.. Intra-erythrocyte infusion of dexamethasone improves clinical outcomes in AT patients; however, the molecular mechanisms that lead to this improvement remain unknown.. Hence, to gain a better understanding of these mechanisms, we assessed the effects of glucocorticoid administration on gene expression in the blood of AT patients.

Biomarker Discovery:

Article Title: Development of a multilevel approach for the evaluation of nanomaterials' toxicity.
Article Snippet: Engineered nanomaterials are increasingly being used for commercial purposes (catalysts, semiconductors, cosmetics and microelectronics).. Their utilization will certainly also increase in the field of medicine for in vitro diagnostics, medical imaging and for drug or vaccine delivery.. Biomedical application of such nanoparticles may imply deliberate contact of these materials by direct ingestion or injection into the body.

Lysis:

Article Title: Development of a multilevel approach for the evaluation of nanomaterials' toxicity.
Article Snippet: Engineered nanomaterials are increasingly being used for commercial purposes (catalysts, semiconductors, cosmetics and microelectronics).. Their utilization will certainly also increase in the field of medicine for in vitro diagnostics, medical imaging and for drug or vaccine delivery.. Biomedical application of such nanoparticles may imply deliberate contact of these materials by direct ingestion or injection into the body.



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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