inflammation panel Search Results


94
KCAS Bioanalytical and Biomarker Services electrodes
Electrodes, supplied by KCAS Bioanalytical and Biomarker Services, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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92
Quansys Biosciences human cytokine inflammation 9 plex kit
Human Cytokine Inflammation 9 Plex Kit, supplied by Quansys Biosciences, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 92 stars, based on 1 article reviews
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KCAS Bioanalytical and Biomarker Services kcas bio analytical
Kcas Bio Analytical, supplied by KCAS Bioanalytical and Biomarker Services, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
Myriad RBM human inflammationmap multiplex assay
Human Inflammationmap Multiplex Assay, supplied by Myriad RBM, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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90
Qiagen targeted human inflammation and immunity transcriptome panel
Validation of the RNA-Seq results was performed by comparing the significant ( p < 0.050) DEGs in the <t>transcriptome</t> analysis with those that were significant in a Qiagen targeted-RNA sequencing panel (491 immune response genes) in a different cohort of Kenyan children [SMA ( n = 21) and non-SMA ( n = 23). a Heatmap illustrating the comparison of significant ( p < 0.050) DEGs between the two datasets. The Y-axis depicts the gene pairs, and the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ). Statistical significance determined using a generalized linear model with a negative binomial distribution, p < 0.050. b Correlation scatter plot demonstrating the relationship between significantly expressed genes in targeted QIAseq analysis (Log 2 FoldChange, Y-axis) versus transcriptome data (Log 2 FoldChange, X-axis). A strong positive correlation of DEGs using two-tailed Spearman’s test ( r = 0.612; 95% confidence interval, 0.496-0.706; p = 1.842E−16) validates concordance between the two sequencing methods.
Targeted Human Inflammation And Immunity Transcriptome Panel, supplied by Qiagen, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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90
Bruker Corporation ncounter ® human inflammation v2 panel
Validation of the RNA-Seq results was performed by comparing the significant ( p < 0.050) DEGs in the <t>transcriptome</t> analysis with those that were significant in a Qiagen targeted-RNA sequencing panel (491 immune response genes) in a different cohort of Kenyan children [SMA ( n = 21) and non-SMA ( n = 23). a Heatmap illustrating the comparison of significant ( p < 0.050) DEGs between the two datasets. The Y-axis depicts the gene pairs, and the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ). Statistical significance determined using a generalized linear model with a negative binomial distribution, p < 0.050. b Correlation scatter plot demonstrating the relationship between significantly expressed genes in targeted QIAseq analysis (Log 2 FoldChange, Y-axis) versus transcriptome data (Log 2 FoldChange, X-axis). A strong positive correlation of DEGs using two-tailed Spearman’s test ( r = 0.612; 95% confidence interval, 0.496-0.706; p = 1.842E−16) validates concordance between the two sequencing methods.
Ncounter ® Human Inflammation V2 Panel, supplied by Bruker Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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90/100 stars
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90
ParAllele BioScience Inc immune and inflammation snp panel
Validation of the RNA-Seq results was performed by comparing the significant ( p < 0.050) DEGs in the <t>transcriptome</t> analysis with those that were significant in a Qiagen targeted-RNA sequencing panel (491 immune response genes) in a different cohort of Kenyan children [SMA ( n = 21) and non-SMA ( n = 23). a Heatmap illustrating the comparison of significant ( p < 0.050) DEGs between the two datasets. The Y-axis depicts the gene pairs, and the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ). Statistical significance determined using a generalized linear model with a negative binomial distribution, p < 0.050. b Correlation scatter plot demonstrating the relationship between significantly expressed genes in targeted QIAseq analysis (Log 2 FoldChange, Y-axis) versus transcriptome data (Log 2 FoldChange, X-axis). A strong positive correlation of DEGs using two-tailed Spearman’s test ( r = 0.612; 95% confidence interval, 0.496-0.706; p = 1.842E−16) validates concordance between the two sequencing methods.
Immune And Inflammation Snp Panel, supplied by ParAllele BioScience Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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90
Qiagen customized qiaseq targeted rna panel (human inflammation and immunity transcriptome panel)
Validation of the RNA-Seq results was performed by comparing the significant ( p < 0.050) DEGs in the <t>transcriptome</t> analysis with those that were significant in a Qiagen targeted-RNA sequencing panel (491 immune response genes) in a different cohort of Kenyan children [SMA ( n = 21) and non-SMA ( n = 23). a Heatmap illustrating the comparison of significant ( p < 0.050) DEGs between the two datasets. The Y-axis depicts the gene pairs, and the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ). Statistical significance determined using a generalized linear model with a negative binomial distribution, p < 0.050. b Correlation scatter plot demonstrating the relationship between significantly expressed genes in targeted QIAseq analysis (Log 2 FoldChange, Y-axis) versus transcriptome data (Log 2 FoldChange, X-axis). A strong positive correlation of DEGs using two-tailed Spearman’s test ( r = 0.612; 95% confidence interval, 0.496-0.706; p = 1.842E−16) validates concordance between the two sequencing methods.
Customized Qiaseq Targeted Rna Panel (Human Inflammation And Immunity Transcriptome Panel), supplied by Qiagen, 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/customized qiaseq targeted rna panel (human inflammation and immunity transcriptome panel)/product/Qiagen
Average 90 stars, based on 1 article reviews
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90
Illumina Inc nulisaseq 200-plex inflammation panel
Validation of the RNA-Seq results was performed by comparing the significant ( p < 0.050) DEGs in the <t>transcriptome</t> analysis with those that were significant in a Qiagen targeted-RNA sequencing panel (491 immune response genes) in a different cohort of Kenyan children [SMA ( n = 21) and non-SMA ( n = 23). a Heatmap illustrating the comparison of significant ( p < 0.050) DEGs between the two datasets. The Y-axis depicts the gene pairs, and the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ). Statistical significance determined using a generalized linear model with a negative binomial distribution, p < 0.050. b Correlation scatter plot demonstrating the relationship between significantly expressed genes in targeted QIAseq analysis (Log 2 FoldChange, Y-axis) versus transcriptome data (Log 2 FoldChange, X-axis). A strong positive correlation of DEGs using two-tailed Spearman’s test ( r = 0.612; 95% confidence interval, 0.496-0.706; p = 1.842E−16) validates concordance between the two sequencing methods.
Nulisaseq 200 Plex Inflammation Panel, supplied by Illumina 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/result/nulisaseq 200-plex inflammation panel/product/Illumina Inc
Average 90 stars, based on 1 article reviews
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90/100 stars
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90
Qiagen cancer inflammation and immunity crosstalk qiagen rt2 profiler panel
Validation of the RNA-Seq results was performed by comparing the significant ( p < 0.050) DEGs in the <t>transcriptome</t> analysis with those that were significant in a Qiagen targeted-RNA sequencing panel (491 immune response genes) in a different cohort of Kenyan children [SMA ( n = 21) and non-SMA ( n = 23). a Heatmap illustrating the comparison of significant ( p < 0.050) DEGs between the two datasets. The Y-axis depicts the gene pairs, and the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ). Statistical significance determined using a generalized linear model with a negative binomial distribution, p < 0.050. b Correlation scatter plot demonstrating the relationship between significantly expressed genes in targeted QIAseq analysis (Log 2 FoldChange, Y-axis) versus transcriptome data (Log 2 FoldChange, X-axis). A strong positive correlation of DEGs using two-tailed Spearman’s test ( r = 0.612; 95% confidence interval, 0.496-0.706; p = 1.842E−16) validates concordance between the two sequencing methods.
Cancer Inflammation And Immunity Crosstalk Qiagen Rt2 Profiler Panel, supplied by Qiagen, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
cancer inflammation and immunity crosstalk qiagen rt2 profiler panel - by Bioz Stars, 2026-04
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90
Cleveland HeartLab inflammation panel testing
Validation of the RNA-Seq results was performed by comparing the significant ( p < 0.050) DEGs in the <t>transcriptome</t> analysis with those that were significant in a Qiagen targeted-RNA sequencing panel (491 immune response genes) in a different cohort of Kenyan children [SMA ( n = 21) and non-SMA ( n = 23). a Heatmap illustrating the comparison of significant ( p < 0.050) DEGs between the two datasets. The Y-axis depicts the gene pairs, and the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ). Statistical significance determined using a generalized linear model with a negative binomial distribution, p < 0.050. b Correlation scatter plot demonstrating the relationship between significantly expressed genes in targeted QIAseq analysis (Log 2 FoldChange, Y-axis) versus transcriptome data (Log 2 FoldChange, X-axis). A strong positive correlation of DEGs using two-tailed Spearman’s test ( r = 0.612; 95% confidence interval, 0.496-0.706; p = 1.842E−16) validates concordance between the two sequencing methods.
Inflammation Panel Testing, supplied by Cleveland HeartLab, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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90
ParAllele BioScience Inc immune and inflammation panel
Validation of the RNA-Seq results was performed by comparing the significant ( p < 0.050) DEGs in the <t>transcriptome</t> analysis with those that were significant in a Qiagen targeted-RNA sequencing panel (491 immune response genes) in a different cohort of Kenyan children [SMA ( n = 21) and non-SMA ( n = 23). a Heatmap illustrating the comparison of significant ( p < 0.050) DEGs between the two datasets. The Y-axis depicts the gene pairs, and the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ). Statistical significance determined using a generalized linear model with a negative binomial distribution, p < 0.050. b Correlation scatter plot demonstrating the relationship between significantly expressed genes in targeted QIAseq analysis (Log 2 FoldChange, Y-axis) versus transcriptome data (Log 2 FoldChange, X-axis). A strong positive correlation of DEGs using two-tailed Spearman’s test ( r = 0.612; 95% confidence interval, 0.496-0.706; p = 1.842E−16) validates concordance between the two sequencing methods.
Immune And Inflammation Panel, supplied by ParAllele BioScience 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/result/immune and inflammation panel/product/ParAllele BioScience Inc
Average 90 stars, based on 1 article reviews
immune and inflammation panel - by Bioz Stars, 2026-04
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Image Search Results


Validation of the RNA-Seq results was performed by comparing the significant ( p < 0.050) DEGs in the transcriptome analysis with those that were significant in a Qiagen targeted-RNA sequencing panel (491 immune response genes) in a different cohort of Kenyan children [SMA ( n = 21) and non-SMA ( n = 23). a Heatmap illustrating the comparison of significant ( p < 0.050) DEGs between the two datasets. The Y-axis depicts the gene pairs, and the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ). Statistical significance determined using a generalized linear model with a negative binomial distribution, p < 0.050. b Correlation scatter plot demonstrating the relationship between significantly expressed genes in targeted QIAseq analysis (Log 2 FoldChange, Y-axis) versus transcriptome data (Log 2 FoldChange, X-axis). A strong positive correlation of DEGs using two-tailed Spearman’s test ( r = 0.612; 95% confidence interval, 0.496-0.706; p = 1.842E−16) validates concordance between the two sequencing methods.

Journal: Nature Communications

Article Title: Entire expressed peripheral blood transcriptome in pediatric severe malarial anemia

doi: 10.1038/s41467-024-48259-4

Figure Lengend Snippet: Validation of the RNA-Seq results was performed by comparing the significant ( p < 0.050) DEGs in the transcriptome analysis with those that were significant in a Qiagen targeted-RNA sequencing panel (491 immune response genes) in a different cohort of Kenyan children [SMA ( n = 21) and non-SMA ( n = 23). a Heatmap illustrating the comparison of significant ( p < 0.050) DEGs between the two datasets. The Y-axis depicts the gene pairs, and the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ). Statistical significance determined using a generalized linear model with a negative binomial distribution, p < 0.050. b Correlation scatter plot demonstrating the relationship between significantly expressed genes in targeted QIAseq analysis (Log 2 FoldChange, Y-axis) versus transcriptome data (Log 2 FoldChange, X-axis). A strong positive correlation of DEGs using two-tailed Spearman’s test ( r = 0.612; 95% confidence interval, 0.496-0.706; p = 1.842E−16) validates concordance between the two sequencing methods.

Article Snippet: Total RNA (125 ng) was used to synthesize cDNA using the First Strand Kit reagents (Qiagen) specific for the Targeted Human Inflammation and Immunity Transcriptome Panel (RHS-005Z, Qiagen).

Techniques: Biomarker Discovery, RNA Sequencing, Comparison, Two Tailed Test, Sequencing

To assess the alignment between DEGs identified from RNA-Seq and changes in protein levels, whole blood transcriptome data were compared with protein abundance measured in plasma using a 7k SomaScan platform. MetaCore TM facilitated the mapping of genes to their respective protein products for 35 children (n = 19 non-SMA and n = 16 SMA) with both available measurements. The analysis identified 405 gene/protein pairs with a significant association ( p < 0.050). a Heatmap showing the comparison of significant ( p < 0.050) gene/protein pairs between the two datasets. The Y-axis depicts the gene/protein pairs, while the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ), and p < 0.050 calculated using a generalized linear model with a negative binomial distribution. b Correlation scatter plot demonstrating the relationship between significantly expressed protein targets (Log 2 FoldChange; Y-axis) and genes (Log 2 FoldChange; X-axis). A two-tailed Spearman’s test indicated a modest positive concordance between gene expression and protein abundance ( r = 0.205; 95% confidence interval, 0.107–0.299); p = 3.200E−5].

Journal: Nature Communications

Article Title: Entire expressed peripheral blood transcriptome in pediatric severe malarial anemia

doi: 10.1038/s41467-024-48259-4

Figure Lengend Snippet: To assess the alignment between DEGs identified from RNA-Seq and changes in protein levels, whole blood transcriptome data were compared with protein abundance measured in plasma using a 7k SomaScan platform. MetaCore TM facilitated the mapping of genes to their respective protein products for 35 children (n = 19 non-SMA and n = 16 SMA) with both available measurements. The analysis identified 405 gene/protein pairs with a significant association ( p < 0.050). a Heatmap showing the comparison of significant ( p < 0.050) gene/protein pairs between the two datasets. The Y-axis depicts the gene/protein pairs, while the X-axis represents the assay type. The color scale depicts fold regulation (Log 2 ), and p < 0.050 calculated using a generalized linear model with a negative binomial distribution. b Correlation scatter plot demonstrating the relationship between significantly expressed protein targets (Log 2 FoldChange; Y-axis) and genes (Log 2 FoldChange; X-axis). A two-tailed Spearman’s test indicated a modest positive concordance between gene expression and protein abundance ( r = 0.205; 95% confidence interval, 0.107–0.299); p = 3.200E−5].

Article Snippet: Total RNA (125 ng) was used to synthesize cDNA using the First Strand Kit reagents (Qiagen) specific for the Targeted Human Inflammation and Immunity Transcriptome Panel (RHS-005Z, Qiagen).

Techniques: RNA Sequencing, Quantitative Proteomics, Clinical Proteomics, Comparison, Two Tailed Test, Gene Expression