fluorospot Search Results


human ifn  (Cellular Technology Ltd)
97
Cellular Technology Ltd human ifn
Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
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human ifn γ tnf α il 2 three color fluorospot kit  (Cellular Technology Ltd)
97
Cellular Technology Ltd human ifn γ tnf α il 2 three color fluorospot kit
Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
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human iga igg igm  (Cellular Technology Ltd)
96
Cellular Technology Ltd human iga igg igm
Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
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mouse igm igg1 igg2a igg2b fourcolor immunospot kit  (Cellular Technology Ltd)
97
Cellular Technology Ltd mouse igm igg1 igg2a igg2b fourcolor immunospot kit
Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
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anti mouse igg pe  (Cellular Technology Ltd)
96
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Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
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pig ifn  (Cellular Technology Ltd)
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Cellular Technology Ltd pig ifn
Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
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human granzyme b promoter  (Cellular Technology Ltd)
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Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
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dual human ifnγ granzymeb fluorospot assays kits  (Cellular Technology Ltd)
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Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
Dual Human Ifnγ Granzymeb Fluorospot Assays Kits, supplied by Cellular Technology Ltd, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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anti human fc igg  (Cellular Technology Ltd)
96
Cellular Technology Ltd anti human fc igg
Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
Anti Human Fc Igg, supplied by Cellular Technology Ltd, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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anti human igg detection reagents  (Cellular Technology Ltd)
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Cellular Technology Ltd anti human igg detection reagents
Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
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double color mouse ifnγ tnfα immnunospot system  (Cellular Technology Ltd)
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Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and <t>IFN-γ</t> <t>and</t> <t>IL-2</t> T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).
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Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and IFN-γ and IL-2 T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).

Journal: Frontiers in Immunology

Article Title: Differences in Humoral and Cellular Vaccine Responses to SARS-CoV-2 in Kidney and Liver Transplant Recipients

doi: 10.3389/fimmu.2022.853682

Figure Lengend Snippet: Principal component analysis (PCA) of all the assays after second vaccination. (A) Analysis included antibodies against anti-SARS-CoV-2, anti-SARS-CoV-2 variants, and common coronaviruses, and IFN-γ and IL-2 T cell responses. The axes represent the two variables, among all those generated by PCA, that ranked first in terms of proportion of assay variability. The variables are represented by arrows; blue arrows = Fluorospot assays, orange arrows = anti-SARS-CoV-2 serological assays, yellow = serological assays for other coronaviruses. The angle between arrows represents the correlation between assays: assays with the same direction have a correlation coefficient of 1, those with opposite directions have a correlation coefficient of -1. Those that are perpendicular to each other have a correlation coefficient of 0. The patients are represented by data points with individual point size proportional to the quality of representation in the bi-dimensional plot. The plot is based on data after two vaccinations only (T2). The categorical variable type-of-solid-organ-transplantation (i.e. kidney vs liver) is added to the plot as a supplementary variable to visualize how the pattern of correlated variables and cloud of data points are distributed between types of solid organ transplantation. The colored ellipses represent the 95% confidence ellipses of the scatter around overall assay mean of each group (liver = blue or kidney = red). (B) Correlation between the five principal components extracted from PCA and the original variables (assays: T cell reactivity and IgG against SARS-CoV2 antigens and variants and other coronaviruses, including common coronaviruses: HCoV229E-S1, HCoVHKU1-S1, HCoVNL63S-S1, HCoVOC43-S1). As shown by the legend in the rightmost column, the correlation is represented by a color gradient as follows: blue for positive correlation, red for negative correlation, and white for no correlation. The correlation coefficient is represented by a circle, the diameter of which is proportional to the strength of the correlation. The variability explained by the principal components Dim.1 to Dim.5 was 67.7, 8.7, 5.6, 3.8, and 3.5%, respectively (not shown).

Article Snippet: The readout was performed following the manufacturer’s instructions for the Human IFN-γ/IL-2 Double-Color FluoroSpot kit and spots were counted using an automated ImmunoSpot Analyzer Professional System (both from Cellular Technology Ltd.).

Techniques: Generated, Transplantation Assay