fluorescent signal intensities Search Results


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    Thermo Fisher genechip scanner 3000 7g system
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA <t>microarray</t> kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.
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    Image Search Results


    Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA microarray kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.

    Journal: Frontiers in Immunology

    Article Title: New miRNA Signature Heralds Human NK Cell Subsets at Different Maturation Steps: Involvement of miR-146a-5p in the Regulation of KIR Expression

    doi: 10.3389/fimmu.2018.02360

    Figure Lengend Snippet: Heatmap representing the unsupervised hierarchical clustering analysis of CD56 bright /CD16 − and CD56 dim/ CD16 + NK cells miRNAs signature obtained with the univariate analysis. Heatmap of 37 miRNAs signature identified by the human miRNA microarray kit v19.0. Dendrograms indicate the results of the bi-clustering analysis. Table at the bottom of the figure helps with the translation between centered log 2 data and fold-change values, and also introduces the heat map color scheme used. Colored boxes indicate 7 of the most regulated miRNAs. Color legend: the most up-regulated miRNAs on CD56 bright /CD16 − NK cells are indicated in light blue and the most up-regulated miRNAs on CD56 dim /CD16 + NK cells are indicated in purple.

    Article Snippet: Fluorescent signal intensities were detected with Agilent's Microarray Scanner System (Agilent Technologies) and extracted from the images using Feature Extraction 10.7.3.1 Software (Agilent Technologies, Santa Clara, USA).

    Techniques: Microarray