Nd CD8+ T cells (Fig. 1A). LPF detected a higher frequency

Nd CD8+ T cells (Fig. 1A). LPF detected a higher frequency

Nd CD8+ T cells (Fig. 1A). LPF detected a higher frequency of IFN-c+ and IL-10+ cells compared to CFP (Fig. 1A), as indicated by the dots below the bias line in the Bland Altman plots and the significance of paired t test. For IL-10+ the systematic bias between the two methods was larger at higher frequencies (Fig 1A). After log-transformation, the bias and variability of the differences were more even across the frequency range (Fig 1 B, D), indicating that the size of the bias could be summarised as a percentage of the frequency of one method compared to the other. The frequencies of the CFP method were on average 44 and 49 (in CD4+ and C8+ memory T cell groups, respectively) lower than those from the LFP method. For IFN-c+, (Fig. C, E), log-transformation led to more even variability in the differences across the frequency range, and an estimate that on average the frequencies from the CFP method were reduced by 15 16574785 and 26 (in CD8+ and C4+ memory T cell groups, respectively) compared to LFP. We next investigated which component of the LFP (either the stimulation or the stain plate) was responsible for the increased PS 1145 detection of IFN-c+ and IL-10+ cells. Results shown in Fig. S3 suggest that both a more effective cell stimulation and stainingComputational analysisThe details of the methodology are described elsewhere [19,21,22]. Briefly, the flowType pipeline was used to identify cell populations, and the immunophenotypes with high area under the curve (AUC) score after a receiver operating characteristic (ROC) curve analysis were selected for analysis using RchyOptimyx [21,23]. Terms and Definitions. A phenotype is the number of cells in a cell population divided by the total number of live T-cells. A true positive (TP) is a Lyoplate sample that is correctly marked as Lyoplate. A false positive (FP) is a Liquid sample that is marked as Lyoplate by mistake. False negative (FN) and true negative (TN) are defined similarly. Sensitivity measures the proportion of actual positives which are correctly identified as such (TP/TP+FN). Specificity measures the proportion of actual negatives which are correctly identified as such (TN/TN+FP). Accuracy measures the proportion of true results to all predictions ( TP+TN/FN+FP). ROC Analysis: A phenotype can be thresholded to divide the subjects to positives and negatives. This threshold controls the trade-off between sensitivity and specificity. A ROC curve demonstrates different values of sensitivity and 1 ?specificity that are obtained by changing this threshold. The AUC can be used as a measure of the get C.I. 19140 predictive power of the phenotype. AUC is between 0,5 and 1 with 1 referring to a perfect phenotype and 0,5 to a random prediction. Replication cohort: Six additional PBMC samples from healthy volunteers (four males and two females, mean age 34 years, rangeLyoplate Flow Cytometry for Biomarker DiscoveryFigure 1. Lyoplate based flow cytometry has higher sensitivity for IFN-c and IL-10 detection than conventional flow cytometry. A. Lyoplate based flow cytometry platform (LFP) results in increased detection of IFN-c+ and IL-10+ cells compared to conventional (liquid) flow cytometry platform (CFP). Peripheral blood mononuclear cells (PBMC) from 12 healthy donors were incubated with (stimulated samples) or without (unstimulated samples) phorbol 12-myristate 13-acetate (PMA)/ionomycin in the presence of brefeldin A and monensin, either in the liquid or lyophilized form. Cells were then stained with liq.Nd CD8+ T cells (Fig. 1A). LPF detected a higher frequency of IFN-c+ and IL-10+ cells compared to CFP (Fig. 1A), as indicated by the dots below the bias line in the Bland Altman plots and the significance of paired t test. For IL-10+ the systematic bias between the two methods was larger at higher frequencies (Fig 1A). After log-transformation, the bias and variability of the differences were more even across the frequency range (Fig 1 B, D), indicating that the size of the bias could be summarised as a percentage of the frequency of one method compared to the other. The frequencies of the CFP method were on average 44 and 49 (in CD4+ and C8+ memory T cell groups, respectively) lower than those from the LFP method. For IFN-c+, (Fig. C, E), log-transformation led to more even variability in the differences across the frequency range, and an estimate that on average the frequencies from the CFP method were reduced by 15 16574785 and 26 (in CD8+ and C4+ memory T cell groups, respectively) compared to LFP. We next investigated which component of the LFP (either the stimulation or the stain plate) was responsible for the increased detection of IFN-c+ and IL-10+ cells. Results shown in Fig. S3 suggest that both a more effective cell stimulation and stainingComputational analysisThe details of the methodology are described elsewhere [19,21,22]. Briefly, the flowType pipeline was used to identify cell populations, and the immunophenotypes with high area under the curve (AUC) score after a receiver operating characteristic (ROC) curve analysis were selected for analysis using RchyOptimyx [21,23]. Terms and Definitions. A phenotype is the number of cells in a cell population divided by the total number of live T-cells. A true positive (TP) is a Lyoplate sample that is correctly marked as Lyoplate. A false positive (FP) is a Liquid sample that is marked as Lyoplate by mistake. False negative (FN) and true negative (TN) are defined similarly. Sensitivity measures the proportion of actual positives which are correctly identified as such (TP/TP+FN). Specificity measures the proportion of actual negatives which are correctly identified as such (TN/TN+FP). Accuracy measures the proportion of true results to all predictions ( TP+TN/FN+FP). ROC Analysis: A phenotype can be thresholded to divide the subjects to positives and negatives. This threshold controls the trade-off between sensitivity and specificity. A ROC curve demonstrates different values of sensitivity and 1 ?specificity that are obtained by changing this threshold. The AUC can be used as a measure of the predictive power of the phenotype. AUC is between 0,5 and 1 with 1 referring to a perfect phenotype and 0,5 to a random prediction. Replication cohort: Six additional PBMC samples from healthy volunteers (four males and two females, mean age 34 years, rangeLyoplate Flow Cytometry for Biomarker DiscoveryFigure 1. Lyoplate based flow cytometry has higher sensitivity for IFN-c and IL-10 detection than conventional flow cytometry. A. Lyoplate based flow cytometry platform (LFP) results in increased detection of IFN-c+ and IL-10+ cells compared to conventional (liquid) flow cytometry platform (CFP). Peripheral blood mononuclear cells (PBMC) from 12 healthy donors were incubated with (stimulated samples) or without (unstimulated samples) phorbol 12-myristate 13-acetate (PMA)/ionomycin in the presence of brefeldin A and monensin, either in the liquid or lyophilized form. Cells were then stained with liq.

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