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recombinant human ifnα a d  (R&D Systems)


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    Structured Review

    R&D Systems recombinant human ifnα a d
    Recombinant Human Ifnα A D, supplied by R&D Systems, used in various techniques. Bioz Stars score: 95/100, based on 60 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/universal+ifn%CE%B1/Universal+Type+I+IFN+Protein/us12479831-758-30-34
    Average 95 stars, based on 60 article reviews
    recombinant human ifnα a d - by Bioz Stars, 2026-09
    95/100 stars

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    Related Articles

    In Vitro:

    Article Title: Subversion of NK-cell and TNFα Immune Surveillance Drives Tumor Recurrence
    Article Snippet: Immune cell depletion Splenocyte and lymph node cultures were depleted of different immune cell types [asialo GM-1 + (NKs), CD4 + , CD8 + , CD11c + , or CD11b + cells] by magnetic bead depletion [catalog no. 130-052-501 (NK); 130-104-454 (CD4); 130-104-075 (CD8); 130-108-338 (CD11c) and 130-049-601 (CD11b); Miltenyi Biotec] according to the manufacturer's instructions.

    Article Title: Subversion of NK-cell and TNFα Immune Surveillance Drives Tumor Recurrence
    Article Snippet: Splenocyte and lymph node cultures were depleted of different immune cell types [asialo GM-1 + (NKs), CD4 + , CD8 + , CD11c + , or CD11b + cells] by magnetic bead depletion [catalog no. 130-052-501 (NK); 130-104-454 (CD4); 130-104-075 (CD8); 130-108-338 (CD11c) and 130-049-601 (CD11b); Miltenyi Biotec] according to the manufacturer's instructions.

    Injection:

    Article Title: Subversion of NK-cell and TNFα Immune Surveillance Drives Tumor Recurrence
    Article Snippet: Immune cell depletion Splenocyte and lymph node cultures were depleted of different immune cell types [asialo GM-1 + (NKs), CD4 + , CD8 + , CD11c + , or CD11b + cells] by magnetic bead depletion [catalog no. 130-052-501 (NK); 130-104-454 (CD4); 130-104-075 (CD8); 130-108-338 (CD11c) and 130-049-601 (CD11b); Miltenyi Biotec] according to the manufacturer's instructions.

    Article Title: Subversion of NK-cell and TNFα Immune Surveillance Drives Tumor Recurrence
    Article Snippet: Splenocyte and lymph node cultures were depleted of different immune cell types [asialo GM-1 + (NKs), CD4 + , CD8 + , CD11c + , or CD11b + cells] by magnetic bead depletion [catalog no. 130-052-501 (NK); 130-104-454 (CD4); 130-104-075 (CD8); 130-108-338 (CD11c) and 130-049-601 (CD11b); Miltenyi Biotec] according to the manufacturer's instructions.

    Quantitative RT-PCR:

    Article Title: Subversion of NK-cell and TNFα Immune Surveillance Drives Tumor Recurrence
    Article Snippet: Immune cell depletion Splenocyte and lymph node cultures were depleted of different immune cell types [asialo GM-1 + (NKs), CD4 + , CD8 + , CD11c + , or CD11b + cells] by magnetic bead depletion [catalog no. 130-052-501 (NK); 130-104-454 (CD4); 130-104-075 (CD8); 130-108-338 (CD11c) and 130-049-601 (CD11b); Miltenyi Biotec] according to the manufacturer's instructions.

    Article Title: Subversion of NK-cell and TNFα Immune Surveillance Drives Tumor Recurrence
    Article Snippet: Splenocyte and lymph node cultures were depleted of different immune cell types [asialo GM-1 + (NKs), CD4 + , CD8 + , CD11c + , or CD11b + cells] by magnetic bead depletion [catalog no. 130-052-501 (NK); 130-104-454 (CD4); 130-104-075 (CD8); 130-108-338 (CD11c) and 130-049-601 (CD11b); Miltenyi Biotec] according to the manufacturer's instructions.

    Expressing:

    Article Title: Subversion of NK-cell and TNFα Immune Surveillance Drives Tumor Recurrence
    Article Snippet: Immune cell depletion Splenocyte and lymph node cultures were depleted of different immune cell types [asialo GM-1 + (NKs), CD4 + , CD8 + , CD11c + , or CD11b + cells] by magnetic bead depletion [catalog no. 130-052-501 (NK); 130-104-454 (CD4); 130-104-075 (CD8); 130-108-338 (CD11c) and 130-049-601 (CD11b); Miltenyi Biotec] according to the manufacturer's instructions.

    Article Title: Subversion of NK-cell and TNFα Immune Surveillance Drives Tumor Recurrence
    Article Snippet: Splenocyte and lymph node cultures were depleted of different immune cell types [asialo GM-1 + (NKs), CD4 + , CD8 + , CD11c + , or CD11b + cells] by magnetic bead depletion [catalog no. 130-052-501 (NK); 130-104-454 (CD4); 130-104-075 (CD8); 130-108-338 (CD11c) and 130-049-601 (CD11b); Miltenyi Biotec] according to the manufacturer's instructions.

    Infection:

    Article Title: Subversion of NK-cell and TNFα Immune Surveillance Drives Tumor Recurrence
    Article Snippet: Immune cell depletion Splenocyte and lymph node cultures were depleted of different immune cell types [asialo GM-1 + (NKs), CD4 + , CD8 + , CD11c + , or CD11b + cells] by magnetic bead depletion [catalog no. 130-052-501 (NK); 130-104-454 (CD4); 130-104-075 (CD8); 130-108-338 (CD11c) and 130-049-601 (CD11b); Miltenyi Biotec] according to the manufacturer's instructions.

    Article Title: Subversion of NK-cell and TNFα Immune Surveillance Drives Tumor Recurrence
    Article Snippet: Splenocyte and lymph node cultures were depleted of different immune cell types [asialo GM-1 + (NKs), CD4 + , CD8 + , CD11c + , or CD11b + cells] by magnetic bead depletion [catalog no. 130-052-501 (NK); 130-104-454 (CD4); 130-104-075 (CD8); 130-108-338 (CD11c) and 130-049-601 (CD11b); Miltenyi Biotec] according to the manufacturer's instructions.



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    <t>Type</t> <t>I</t> IFN-induced responses evaluated by RNA sequencing in peripheral blood cells of healthy donors. ( A ) PC analysis was performed using the 500 most variable genes. The percentage of variance retained by the two first components is represented. The donor effect was removed (using the function ‘removeBatchEffect’) from the R package limma, before plotting, and the gene expression levels were normalized using the variance-stabilizing transformation. Samples are colored by the time after exposure to IFN-α. Time is represented in hours. ( B ) Heatmap of the top DEGs (log 2 fold change > 1 and adjusted p value < 0.01 compared with baseline) grouped using hierarchical clustering. The gene expression values were scaled using a Z-score normalization (for each condition, the gene expression value was subtracted from the gene average value and divided by its SD [x – mean/SD]). ( C ) Total number of DEGs (log 2 fold change > 1 and adjusted p value < 0.05) induced by IFN-α at each time point. ( D ) Volcano plot of DEGs affected by IFN-α + placebo at 9 h vs. placebo at baseline. Each gene was plotted as log 2 fold change (x-axis) and −log 10 (adjusted p value [FDR]) (y-axis). The horizontal dashed line indicates the cutoff of −log 10 (adjusted p value) of > 1.3 (adjusted p value < 0.05), and the vertical dashed lines indicate log 2 fold change > 1. ( E ) Gene set enrichment analysis following differential gene expression analysis of peripheral blood cells exposed to placebo + IFN-α at 9 h vs. placebo at 0 h. Hallmark gene sets upregulated (red) and downregulated (blue) are shown. Only significantly modified pathways (adjusted p value < 0.05) are shown as bar plots with the normalized enrichment score on the x-axis. Abbreviations: DEG, differentially expressed gene; FDR, false discovery rate; IFN, interferon; IL, interleukin; JAK, Janus kinase; PC, principal component; SD, standard deviation; STAT, signal transducer and activator of transcription; TNF-α, tumor necrosis factor-α
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    <t>Type</t> <t>I</t> IFN-induced responses evaluated by RNA sequencing in peripheral blood cells of healthy donors. ( A ) PC analysis was performed using the 500 most variable genes. The percentage of variance retained by the two first components is represented. The donor effect was removed (using the function ‘removeBatchEffect’) from the R package limma, before plotting, and the gene expression levels were normalized using the variance-stabilizing transformation. Samples are colored by the time after exposure to IFN-α. Time is represented in hours. ( B ) Heatmap of the top DEGs (log 2 fold change > 1 and adjusted p value < 0.01 compared with baseline) grouped using hierarchical clustering. The gene expression values were scaled using a Z-score normalization (for each condition, the gene expression value was subtracted from the gene average value and divided by its SD [x – mean/SD]). ( C ) Total number of DEGs (log 2 fold change > 1 and adjusted p value < 0.05) induced by IFN-α at each time point. ( D ) Volcano plot of DEGs affected by IFN-α + placebo at 9 h vs. placebo at baseline. Each gene was plotted as log 2 fold change (x-axis) and −log 10 (adjusted p value [FDR]) (y-axis). The horizontal dashed line indicates the cutoff of −log 10 (adjusted p value) of > 1.3 (adjusted p value < 0.05), and the vertical dashed lines indicate log 2 fold change > 1. ( E ) Gene set enrichment analysis following differential gene expression analysis of peripheral blood cells exposed to placebo + IFN-α at 9 h vs. placebo at 0 h. Hallmark gene sets upregulated (red) and downregulated (blue) are shown. Only significantly modified pathways (adjusted p value < 0.05) are shown as bar plots with the normalized enrichment score on the x-axis. Abbreviations: DEG, differentially expressed gene; FDR, false discovery rate; IFN, interferon; IL, interleukin; JAK, Janus kinase; PC, principal component; SD, standard deviation; STAT, signal transducer and activator of transcription; TNF-α, tumor necrosis factor-α
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    <t>Type</t> <t>I</t> IFN-induced responses evaluated by RNA sequencing in peripheral blood cells of healthy donors. ( A ) PC analysis was performed using the 500 most variable genes. The percentage of variance retained by the two first components is represented. The donor effect was removed (using the function ‘removeBatchEffect’) from the R package limma, before plotting, and the gene expression levels were normalized using the variance-stabilizing transformation. Samples are colored by the time after exposure to IFN-α. Time is represented in hours. ( B ) Heatmap of the top DEGs (log 2 fold change > 1 and adjusted p value < 0.01 compared with baseline) grouped using hierarchical clustering. The gene expression values were scaled using a Z-score normalization (for each condition, the gene expression value was subtracted from the gene average value and divided by its SD [x – mean/SD]). ( C ) Total number of DEGs (log 2 fold change > 1 and adjusted p value < 0.05) induced by IFN-α at each time point. ( D ) Volcano plot of DEGs affected by IFN-α + placebo at 9 h vs. placebo at baseline. Each gene was plotted as log 2 fold change (x-axis) and −log 10 (adjusted p value [FDR]) (y-axis). The horizontal dashed line indicates the cutoff of −log 10 (adjusted p value) of > 1.3 (adjusted p value < 0.05), and the vertical dashed lines indicate log 2 fold change > 1. ( E ) Gene set enrichment analysis following differential gene expression analysis of peripheral blood cells exposed to placebo + IFN-α at 9 h vs. placebo at 0 h. Hallmark gene sets upregulated (red) and downregulated (blue) are shown. Only significantly modified pathways (adjusted p value < 0.05) are shown as bar plots with the normalized enrichment score on the x-axis. Abbreviations: DEG, differentially expressed gene; FDR, false discovery rate; IFN, interferon; IL, interleukin; JAK, Janus kinase; PC, principal component; SD, standard deviation; STAT, signal transducer and activator of transcription; TNF-α, tumor necrosis factor-α
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    Image Search Results


    Type I IFN-induced responses evaluated by RNA sequencing in peripheral blood cells of healthy donors. ( A ) PC analysis was performed using the 500 most variable genes. The percentage of variance retained by the two first components is represented. The donor effect was removed (using the function ‘removeBatchEffect’) from the R package limma, before plotting, and the gene expression levels were normalized using the variance-stabilizing transformation. Samples are colored by the time after exposure to IFN-α. Time is represented in hours. ( B ) Heatmap of the top DEGs (log 2 fold change > 1 and adjusted p value < 0.01 compared with baseline) grouped using hierarchical clustering. The gene expression values were scaled using a Z-score normalization (for each condition, the gene expression value was subtracted from the gene average value and divided by its SD [x – mean/SD]). ( C ) Total number of DEGs (log 2 fold change > 1 and adjusted p value < 0.05) induced by IFN-α at each time point. ( D ) Volcano plot of DEGs affected by IFN-α + placebo at 9 h vs. placebo at baseline. Each gene was plotted as log 2 fold change (x-axis) and −log 10 (adjusted p value [FDR]) (y-axis). The horizontal dashed line indicates the cutoff of −log 10 (adjusted p value) of > 1.3 (adjusted p value < 0.05), and the vertical dashed lines indicate log 2 fold change > 1. ( E ) Gene set enrichment analysis following differential gene expression analysis of peripheral blood cells exposed to placebo + IFN-α at 9 h vs. placebo at 0 h. Hallmark gene sets upregulated (red) and downregulated (blue) are shown. Only significantly modified pathways (adjusted p value < 0.05) are shown as bar plots with the normalized enrichment score on the x-axis. Abbreviations: DEG, differentially expressed gene; FDR, false discovery rate; IFN, interferon; IL, interleukin; JAK, Janus kinase; PC, principal component; SD, standard deviation; STAT, signal transducer and activator of transcription; TNF-α, tumor necrosis factor-α

    Journal: Inflammation

    Article Title: Pharmacological Characterization of GLPG3667, a Tyrosine Kinase 2-Selective Inhibitor, for the Treatment of Inflammatory and Autoimmune Diseases

    doi: 10.1007/s10753-026-02519-1

    Figure Lengend Snippet: Type I IFN-induced responses evaluated by RNA sequencing in peripheral blood cells of healthy donors. ( A ) PC analysis was performed using the 500 most variable genes. The percentage of variance retained by the two first components is represented. The donor effect was removed (using the function ‘removeBatchEffect’) from the R package limma, before plotting, and the gene expression levels were normalized using the variance-stabilizing transformation. Samples are colored by the time after exposure to IFN-α. Time is represented in hours. ( B ) Heatmap of the top DEGs (log 2 fold change > 1 and adjusted p value < 0.01 compared with baseline) grouped using hierarchical clustering. The gene expression values were scaled using a Z-score normalization (for each condition, the gene expression value was subtracted from the gene average value and divided by its SD [x – mean/SD]). ( C ) Total number of DEGs (log 2 fold change > 1 and adjusted p value < 0.05) induced by IFN-α at each time point. ( D ) Volcano plot of DEGs affected by IFN-α + placebo at 9 h vs. placebo at baseline. Each gene was plotted as log 2 fold change (x-axis) and −log 10 (adjusted p value [FDR]) (y-axis). The horizontal dashed line indicates the cutoff of −log 10 (adjusted p value) of > 1.3 (adjusted p value < 0.05), and the vertical dashed lines indicate log 2 fold change > 1. ( E ) Gene set enrichment analysis following differential gene expression analysis of peripheral blood cells exposed to placebo + IFN-α at 9 h vs. placebo at 0 h. Hallmark gene sets upregulated (red) and downregulated (blue) are shown. Only significantly modified pathways (adjusted p value < 0.05) are shown as bar plots with the normalized enrichment score on the x-axis. Abbreviations: DEG, differentially expressed gene; FDR, false discovery rate; IFN, interferon; IL, interleukin; JAK, Janus kinase; PC, principal component; SD, standard deviation; STAT, signal transducer and activator of transcription; TNF-α, tumor necrosis factor-α

    Article Snippet: After the incubation period, release of IFN-γ-induced protein 10 (IP-10) was triggered with 3000 U/mL IFN-α (Universal Type I IFN-Alpha, 11100-1, PBL Assay Science, PBL) for 24 h at 37 °C.

    Techniques: RNA Sequencing, Gene Expression, Transformation Assay, Modification, Standard Deviation