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pp65  (Cell Signaling Technology Inc)


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    Cell Signaling Technology Inc pp65
    Pp65, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 94/100, based on 39 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/pp65/product/Cell Signaling Technology Inc
    Average 94 stars, based on 39 article reviews
    pp65 - by Bioz Stars, 2026-02
    94/100 stars

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    a-c , Overall survival for NSCLC patients who received immune therapy and obtained a COVID <t>mRNA</t> vaccine differentiated by vaccine manufacturer ( a ), whether the patient received their first vaccine during this period (“Prime only”), a booster (“Boost only”), or both a priming vaccine and a booster vaccine within the 100-day period (“Prime and Boost”) ( b ), and number of vaccines received within 100 days of ICI initiation (c) . One patient who received 3 vaccines within 100 days is not represented. d , Overall survival among patients with NSCLC receiving their first round of ICI, stratified by receipt of COVID mRNA vaccine in the 100 days prior to ICI initiation. e , Overall survival for NSCLC patients who received immune therapy and obtained a COVID mRNA vaccine within 50 days of initiating immunotherapy. f , Overall survival for NSCLC patients receiving ICI starting on or after 9/2/2020, stratified by receipt of COVID mRNA vaccination within 100 days surrounding ICI initiation. g , Overall survival for NSCLC patients stratified by receipt of COVID mRNA vaccines with all events occurring in the first 100 days after initiating ICI removed to correct for immortal time bias. h-i , Propensity score matching for overall survival in patients with Stage III Unresectable NSCLC ( h ) and metastatic NSCLC ( i ) treated with ICI who received a COVID mRNA vaccine within 100 days of initiating ICI or did not receive a COVID mRNA vaccine. Hazard ratios and p values were calculated by log-rank (Mantel-Cox, two-sided) tests.
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    ( A ) Schematic depicting the AIM assay procedure and protocol variations that were tested: (1) presence/absence of human serum, (2) use of whole blood, or fresh or frozen PBMCs, (3) stimulation with peptide, whole protein or other antigens; (4), stimulation time; (5) AIM marker combinations and (6) and data analysis strategy. ( B-E ) Replicate AIM assays were performed on cryopreserved PBMCs from 5 donors, with 4-8 technical replicates per donor spread across 2-4 independent experiments. PBMCs were stimulated for 20 h with <t>CMV</t> <t>pp65</t> peptides and AIM responses were measured by flow cytometry as CD4 + or CD8 + T cells co-expressing the indicated AIMs. (B and C) Representative dot plots showing AIM + cells after gating on CD4 + (B) or CD8 + (C) T cells. (D and E) paired raw AIM + frequencies among CD4 + (D) and CD8 + (E) T cells. Percentage coefficients of variation (CV) are displayed above the responses for each donor. Each line represents the paired unstimulated control and pp65-stimulated AIM signal from a single technical replicate within one donor. ( F and G ) The source(s) of variance contributing to variability in pp65-stimulated CD4 + (F) and CD8 + (G) AIM + cell frequencies were calculated after subtracting the corresponding unstimulated AIM + frequencies. A mixed effects model with donor, experiment (technical replicate) and operator (the individual performing the AIM assay) as random effects was used. Note that for CD137 + /CD69 + (CD4 + ) and CD107a + /CD137 + (CD8 + ) data, the mixed effects model failed to converge and variance components could not be calculated. Graphs show variance components expressed as percentages of total variance.
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    ( A ) Schematic depicting the AIM assay procedure and protocol variations that were tested: (1) presence/absence of human serum, (2) use of whole blood, or fresh or frozen PBMCs, (3) stimulation with peptide, whole protein or other antigens; (4), stimulation time; (5) AIM marker combinations and (6) and data analysis strategy. ( B-E ) Replicate AIM assays were performed on cryopreserved PBMCs from 5 donors, with 4-8 technical replicates per donor spread across 2-4 independent experiments. PBMCs were stimulated for 20 h with <t>CMV</t> <t>pp65</t> peptides and AIM responses were measured by flow cytometry as CD4 + or CD8 + T cells co-expressing the indicated AIMs. (B and C) Representative dot plots showing AIM + cells after gating on CD4 + (B) or CD8 + (C) T cells. (D and E) paired raw AIM + frequencies among CD4 + (D) and CD8 + (E) T cells. Percentage coefficients of variation (CV) are displayed above the responses for each donor. Each line represents the paired unstimulated control and pp65-stimulated AIM signal from a single technical replicate within one donor. ( F and G ) The source(s) of variance contributing to variability in pp65-stimulated CD4 + (F) and CD8 + (G) AIM + cell frequencies were calculated after subtracting the corresponding unstimulated AIM + frequencies. A mixed effects model with donor, experiment (technical replicate) and operator (the individual performing the AIM assay) as random effects was used. Note that for CD137 + /CD69 + (CD4 + ) and CD107a + /CD137 + (CD8 + ) data, the mixed effects model failed to converge and variance components could not be calculated. Graphs show variance components expressed as percentages of total variance.
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    ( A ) Schematic depicting the AIM assay procedure and protocol variations that were tested: (1) presence/absence of human serum, (2) use of whole blood, or fresh or frozen PBMCs, (3) stimulation with peptide, whole protein or other antigens; (4), stimulation time; (5) AIM marker combinations and (6) and data analysis strategy. ( B-E ) Replicate AIM assays were performed on cryopreserved PBMCs from 5 donors, with 4-8 technical replicates per donor spread across 2-4 independent experiments. PBMCs were stimulated for 20 h with <t>CMV</t> <t>pp65</t> peptides and AIM responses were measured by flow cytometry as CD4 + or CD8 + T cells co-expressing the indicated AIMs. (B and C) Representative dot plots showing AIM + cells after gating on CD4 + (B) or CD8 + (C) T cells. (D and E) paired raw AIM + frequencies among CD4 + (D) and CD8 + (E) T cells. Percentage coefficients of variation (CV) are displayed above the responses for each donor. Each line represents the paired unstimulated control and pp65-stimulated AIM signal from a single technical replicate within one donor. ( F and G ) The source(s) of variance contributing to variability in pp65-stimulated CD4 + (F) and CD8 + (G) AIM + cell frequencies were calculated after subtracting the corresponding unstimulated AIM + frequencies. A mixed effects model with donor, experiment (technical replicate) and operator (the individual performing the AIM assay) as random effects was used. Note that for CD137 + /CD69 + (CD4 + ) and CD107a + /CD137 + (CD8 + ) data, the mixed effects model failed to converge and variance components could not be calculated. Graphs show variance components expressed as percentages of total variance.
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    a-c , Overall survival for NSCLC patients who received immune therapy and obtained a COVID mRNA vaccine differentiated by vaccine manufacturer ( a ), whether the patient received their first vaccine during this period (“Prime only”), a booster (“Boost only”), or both a priming vaccine and a booster vaccine within the 100-day period (“Prime and Boost”) ( b ), and number of vaccines received within 100 days of ICI initiation (c) . One patient who received 3 vaccines within 100 days is not represented. d , Overall survival among patients with NSCLC receiving their first round of ICI, stratified by receipt of COVID mRNA vaccine in the 100 days prior to ICI initiation. e , Overall survival for NSCLC patients who received immune therapy and obtained a COVID mRNA vaccine within 50 days of initiating immunotherapy. f , Overall survival for NSCLC patients receiving ICI starting on or after 9/2/2020, stratified by receipt of COVID mRNA vaccination within 100 days surrounding ICI initiation. g , Overall survival for NSCLC patients stratified by receipt of COVID mRNA vaccines with all events occurring in the first 100 days after initiating ICI removed to correct for immortal time bias. h-i , Propensity score matching for overall survival in patients with Stage III Unresectable NSCLC ( h ) and metastatic NSCLC ( i ) treated with ICI who received a COVID mRNA vaccine within 100 days of initiating ICI or did not receive a COVID mRNA vaccine. Hazard ratios and p values were calculated by log-rank (Mantel-Cox, two-sided) tests.

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a-c , Overall survival for NSCLC patients who received immune therapy and obtained a COVID mRNA vaccine differentiated by vaccine manufacturer ( a ), whether the patient received their first vaccine during this period (“Prime only”), a booster (“Boost only”), or both a priming vaccine and a booster vaccine within the 100-day period (“Prime and Boost”) ( b ), and number of vaccines received within 100 days of ICI initiation (c) . One patient who received 3 vaccines within 100 days is not represented. d , Overall survival among patients with NSCLC receiving their first round of ICI, stratified by receipt of COVID mRNA vaccine in the 100 days prior to ICI initiation. e , Overall survival for NSCLC patients who received immune therapy and obtained a COVID mRNA vaccine within 50 days of initiating immunotherapy. f , Overall survival for NSCLC patients receiving ICI starting on or after 9/2/2020, stratified by receipt of COVID mRNA vaccination within 100 days surrounding ICI initiation. g , Overall survival for NSCLC patients stratified by receipt of COVID mRNA vaccines with all events occurring in the first 100 days after initiating ICI removed to correct for immortal time bias. h-i , Propensity score matching for overall survival in patients with Stage III Unresectable NSCLC ( h ) and metastatic NSCLC ( i ) treated with ICI who received a COVID mRNA vaccine within 100 days of initiating ICI or did not receive a COVID mRNA vaccine. Hazard ratios and p values were calculated by log-rank (Mantel-Cox, two-sided) tests.

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques: Vaccines

    a , Overall survival for NSCLC patients who did not receive immune checkpoint inhibition and received a COVID vaccine within 100 days of initiating chemotherapy or did not receive a COVID vaccine. b-e , Overall survival for NSCLC patients stratified by receipt of influenza vaccines ( b-c ), or pneumonia vaccines ( d-e ) with all events included ( b, d ) or, to correct for immortal time bias, including only events that occured greater than 100 days after initiating ICI ( c, e ). Patients who also received COVID vaccination were excluded from the influenza and pneumonia vaccine analyses. f-g , Overall survival for (f) all patients with Stage III NSCLC and (g) patients with Resectable Stage III NSCLC treated with ICI who received a COVID mRNA vaccine within 100 days of initiating ICI or did not receive a COVID mRNA vaccine. Hazard ratios and p values were calculated by log-rank (Mantel-Cox, two-sided) tests.

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a , Overall survival for NSCLC patients who did not receive immune checkpoint inhibition and received a COVID vaccine within 100 days of initiating chemotherapy or did not receive a COVID vaccine. b-e , Overall survival for NSCLC patients stratified by receipt of influenza vaccines ( b-c ), or pneumonia vaccines ( d-e ) with all events included ( b, d ) or, to correct for immortal time bias, including only events that occured greater than 100 days after initiating ICI ( c, e ). Patients who also received COVID vaccination were excluded from the influenza and pneumonia vaccine analyses. f-g , Overall survival for (f) all patients with Stage III NSCLC and (g) patients with Resectable Stage III NSCLC treated with ICI who received a COVID mRNA vaccine within 100 days of initiating ICI or did not receive a COVID mRNA vaccine. Hazard ratios and p values were calculated by log-rank (Mantel-Cox, two-sided) tests.

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques: Inhibition, Vaccines

    a-c , Overall survival for Stage IV melanoma patients who received their first round of immune therapy and obtained a COVID mRNA vaccine differentiated by vaccine manufacturer ( a ), whether the patient received their first vaccine during this period (“Prime only”), a booster (“Boost only”), or both a priming vaccine and a booster vaccine within the 100-day period (“Prime and Boost”) ( b ), and the number of vaccines received within 100 days of ICI initiation (c) . d , Overall survival among patients with Stage IV melanoma who are receiving their first round of ICI stratified by receipt of COVID mRNA vaccine in the 100 days prior to ICI initiation. Hazard ratios are reported using log-rank tests. e-f , Overall survival for Stage IV Melanoma receiving ICI starting on or after 9/2/2020, stratified by receipt of COVID mRNA vaccination within 100 days surrounding ICI initiation. For crossing survival curves as in e , RMST was calculated rather than logrank (Mantel-Cox) testing (see ). f , Restricted Mean Survival Time (RMST) at 12 and 24 months. Absolute differences between arms are compared with a two-tailed non-parametric area under the curve (AUC) analysis. g-i , Overall survival for patients in the Melanoma dataset treated with ICI. g , Survival for patients in the Melanoma cohort treated with ICI who received a COVID mRNA vaccine within 100 days of initiating any line of ICI or did not receive a COVID mRNA vaccine. h , Survival for Stage III patients in the Melanoma cohort treated with ICI who received a COVID mRNA vaccine within 100 days of initiating any line of ICI or did not receive a COVID mRNA vaccine. i , Survival for all Stage IV patients in the Melanoma cohort treated with ICI who received a COVID mRNA vaccine within 100 days of initiating any line of ICI or did not receive a COVID mRNA vaccine. j-k , Propensity score matching for overall survival (j) and progression-free survival (k) in patients with metastatic melanoma treated with ICI who received a COVID mRNA vaccine within 100 days of initiating ICI or did not receive a COVID mRNA vaccine. Matching was performed using all variables significantly associated with survival on multivariable analysis. Hazard ratios and p values were calculated by log-rank (Mantel-Cox, two-sided) tests unless otherwise specified. Numbers underneath the graph indicate the number of patients at each timepoint.

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a-c , Overall survival for Stage IV melanoma patients who received their first round of immune therapy and obtained a COVID mRNA vaccine differentiated by vaccine manufacturer ( a ), whether the patient received their first vaccine during this period (“Prime only”), a booster (“Boost only”), or both a priming vaccine and a booster vaccine within the 100-day period (“Prime and Boost”) ( b ), and the number of vaccines received within 100 days of ICI initiation (c) . d , Overall survival among patients with Stage IV melanoma who are receiving their first round of ICI stratified by receipt of COVID mRNA vaccine in the 100 days prior to ICI initiation. Hazard ratios are reported using log-rank tests. e-f , Overall survival for Stage IV Melanoma receiving ICI starting on or after 9/2/2020, stratified by receipt of COVID mRNA vaccination within 100 days surrounding ICI initiation. For crossing survival curves as in e , RMST was calculated rather than logrank (Mantel-Cox) testing (see ). f , Restricted Mean Survival Time (RMST) at 12 and 24 months. Absolute differences between arms are compared with a two-tailed non-parametric area under the curve (AUC) analysis. g-i , Overall survival for patients in the Melanoma dataset treated with ICI. g , Survival for patients in the Melanoma cohort treated with ICI who received a COVID mRNA vaccine within 100 days of initiating any line of ICI or did not receive a COVID mRNA vaccine. h , Survival for Stage III patients in the Melanoma cohort treated with ICI who received a COVID mRNA vaccine within 100 days of initiating any line of ICI or did not receive a COVID mRNA vaccine. i , Survival for all Stage IV patients in the Melanoma cohort treated with ICI who received a COVID mRNA vaccine within 100 days of initiating any line of ICI or did not receive a COVID mRNA vaccine. j-k , Propensity score matching for overall survival (j) and progression-free survival (k) in patients with metastatic melanoma treated with ICI who received a COVID mRNA vaccine within 100 days of initiating ICI or did not receive a COVID mRNA vaccine. Matching was performed using all variables significantly associated with survival on multivariable analysis. Hazard ratios and p values were calculated by log-rank (Mantel-Cox, two-sided) tests unless otherwise specified. Numbers underneath the graph indicate the number of patients at each timepoint.

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques: Vaccines, Two Tailed Test

    a – e , Survival for patients with NSCLC ( a – c ) or metastatic melanoma ( d , e ) treated with ICI who received a COVID-19 mRNA vaccine within 100 days of initiating ICI or did not receive a COVID-19 mRNA vaccine. Survival is shown for all patients with NSCLC ( a ), patients with unresectable stage III NSCLC ( b ), patients with stage IV NSCLC ( c ) and patients with metastatic melanoma ( d and e ). P values and HR adj were calculated using two-sided Cox proportional hazards regression (Supplementary Tables , , , and ), including all variables that were significantly associated with survival on univariable analysis (Supplementary Tables , , , and ). The number of patients at risk at each timepoint is indicated below each graph.

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a – e , Survival for patients with NSCLC ( a – c ) or metastatic melanoma ( d , e ) treated with ICI who received a COVID-19 mRNA vaccine within 100 days of initiating ICI or did not receive a COVID-19 mRNA vaccine. Survival is shown for all patients with NSCLC ( a ), patients with unresectable stage III NSCLC ( b ), patients with stage IV NSCLC ( c ) and patients with metastatic melanoma ( d and e ). P values and HR adj were calculated using two-sided Cox proportional hazards regression (Supplementary Tables , , , and ), including all variables that were significantly associated with survival on univariable analysis (Supplementary Tables , , , and ). The number of patients at risk at each timepoint is indicated below each graph.

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques:

    a , Sequence map of mRNA. b , Quality of mRNA assessed on a BioAnalyzer. c , Total anti-Spike IgG generated by C57Bl/6 mice after 3 doses of vaccine (n = 3 biological replicates). Data are displayed as mean with SEM. d , Visualization of mRNA loading in LNPs via gel electrophoresis. e , Size distribution of LNPs assessed by DLS with 3 technical replicates. Data are displayed as mean with SD. f , Size distribution determined via nanoparticle tracking analysis. g , Table of LNP properties. h , pH and zeta potential at biologically relevant levels of sodium bicarbonate.

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a , Sequence map of mRNA. b , Quality of mRNA assessed on a BioAnalyzer. c , Total anti-Spike IgG generated by C57Bl/6 mice after 3 doses of vaccine (n = 3 biological replicates). Data are displayed as mean with SEM. d , Visualization of mRNA loading in LNPs via gel electrophoresis. e , Size distribution of LNPs assessed by DLS with 3 technical replicates. Data are displayed as mean with SD. f , Size distribution determined via nanoparticle tracking analysis. g , Table of LNP properties. h , pH and zeta potential at biologically relevant levels of sodium bicarbonate.

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques: Sequencing, Generated, Nucleic Acid Electrophoresis, Zeta Potential Analyzer

    a, b , Graphical experimental design, individual tumour growth curves ( a ) and tumour volume ( b ) for C57Bl6 mice inoculated with B16F0 (50,000 cells) and vaccinated with RNA-LNPs (Day 3, 6, 20) with and without anti-PD-L1 and anti-IFNAR1 or anti-IL-1R mAbs (n = 12/group). c , Tumour growth for C57Bl/6 mice with subcutaneous B16F0 tumours (50,000 cells) treated with anti-PD-L1 and either RNA-LNPs or exogenous IFN-α (Days 3, 6, and 20) (n = 8/group). Early differences in tumour growth volumes were lost by day 20 without continued treatment. d , C57Bl/6 mice with s.c. B16F0 tumours (50,000 cells) are treated with anti-PD1 starting on Day 14/17/20 with or without RNA-LNPs or Poly I:C (Days 14,17) (n = 8/group). e , Tumour growth for C57Bl/6 mice with B16F0 tumours (50,000 cells) treated with anti-PD-L1(Days 3/6/10/13/17/20) with or without RNA-LNPs (Days 3,6,20) containing mRNA coding for the Spike or the CMV antigen pp65 incorporating N1-methyl pseudouridine (“modified”) or wild-type uridine (“unmodified”) and (f) boxplots of day 17 and day 20 tumour volumes (n = 8/group). Tumour measurements from mice that met humane end points prior to each measurement day are excluded (Day 17: n = 1 (Untreated), Day 20: n = 2 (Untreated (n = 1) and Modified Spike RNA-LNP + PD-L1 (n = 1)) (see data file). Significance was determined by two-tailed Mann-Whitney U test ( b,f ) and two-way ANOVA/mixed-effect analysis with Geisser-Greenhouse correction ( c,d,e ). Data are displayed as means with standard error. Boxplots in b and f display whiskers extending to the highest and lowest values from a box drawn between the 1st and 3rd quartiles with a line centred at the median. For c-e , data are represented as mean +/- SEM.

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a, b , Graphical experimental design, individual tumour growth curves ( a ) and tumour volume ( b ) for C57Bl6 mice inoculated with B16F0 (50,000 cells) and vaccinated with RNA-LNPs (Day 3, 6, 20) with and without anti-PD-L1 and anti-IFNAR1 or anti-IL-1R mAbs (n = 12/group). c , Tumour growth for C57Bl/6 mice with subcutaneous B16F0 tumours (50,000 cells) treated with anti-PD-L1 and either RNA-LNPs or exogenous IFN-α (Days 3, 6, and 20) (n = 8/group). Early differences in tumour growth volumes were lost by day 20 without continued treatment. d , C57Bl/6 mice with s.c. B16F0 tumours (50,000 cells) are treated with anti-PD1 starting on Day 14/17/20 with or without RNA-LNPs or Poly I:C (Days 14,17) (n = 8/group). e , Tumour growth for C57Bl/6 mice with B16F0 tumours (50,000 cells) treated with anti-PD-L1(Days 3/6/10/13/17/20) with or without RNA-LNPs (Days 3,6,20) containing mRNA coding for the Spike or the CMV antigen pp65 incorporating N1-methyl pseudouridine (“modified”) or wild-type uridine (“unmodified”) and (f) boxplots of day 17 and day 20 tumour volumes (n = 8/group). Tumour measurements from mice that met humane end points prior to each measurement day are excluded (Day 17: n = 1 (Untreated), Day 20: n = 2 (Untreated (n = 1) and Modified Spike RNA-LNP + PD-L1 (n = 1)) (see data file). Significance was determined by two-tailed Mann-Whitney U test ( b,f ) and two-way ANOVA/mixed-effect analysis with Geisser-Greenhouse correction ( c,d,e ). Data are displayed as means with standard error. Boxplots in b and f display whiskers extending to the highest and lowest values from a box drawn between the 1st and 3rd quartiles with a line centred at the median. For c-e , data are represented as mean +/- SEM.

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques: Modification, Two Tailed Test, MANN-WHITNEY

    a , QC analysis of dsRNA contamination before and after purification (analysis performed by Genscript’s dsRNA residue assay). b , Tumour growth for mice with B16F0 tumours (50,000 cells) treated with anti-PDL1 mAbs with or without RNA-LNPs versus anionic (LPA) versus ssRNA (Days 3,6, 17) (n = 12). In this experiment, anionic LPA was synthesized by mixing DOTAP liposomes with mRNA at a 1:1 mass to mass ratio to formulate lipid particle aggregates (see ). c , ELISA for IFN-α in serum collected from wildtype C57Bl/6 mice (n = 5) 24 h after treatment with PBS (WT PBS) or RNA-LNP (WT RNA-LNP), or RIG-I null mice (n = 3) treated with RNA-LNP (RIG-I -/- RNA-LNP). d , Non-complexed RNA (A1, B1) and LNP extracted RNA (A2,B2) analysed on a tape station with or without heating. Data are displayed as means with standard error. Significance was determined by two-way ANOVA/mixed-effect analysis with Geisser-greenhouse correction ( b ), and two-tailed unpaired t tests ( c ). For b , data are represented as mean +/- SEM. For c , the height of the bars represents mean and error bars represent +SEM.

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a , QC analysis of dsRNA contamination before and after purification (analysis performed by Genscript’s dsRNA residue assay). b , Tumour growth for mice with B16F0 tumours (50,000 cells) treated with anti-PDL1 mAbs with or without RNA-LNPs versus anionic (LPA) versus ssRNA (Days 3,6, 17) (n = 12). In this experiment, anionic LPA was synthesized by mixing DOTAP liposomes with mRNA at a 1:1 mass to mass ratio to formulate lipid particle aggregates (see ). c , ELISA for IFN-α in serum collected from wildtype C57Bl/6 mice (n = 5) 24 h after treatment with PBS (WT PBS) or RNA-LNP (WT RNA-LNP), or RIG-I null mice (n = 3) treated with RNA-LNP (RIG-I -/- RNA-LNP). d , Non-complexed RNA (A1, B1) and LNP extracted RNA (A2,B2) analysed on a tape station with or without heating. Data are displayed as means with standard error. Significance was determined by two-way ANOVA/mixed-effect analysis with Geisser-greenhouse correction ( b ), and two-tailed unpaired t tests ( c ). For b , data are represented as mean +/- SEM. For c , the height of the bars represents mean and error bars represent +SEM.

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques: Purification, Residue, Synthesized, Liposomes, Enzyme-linked Immunosorbent Assay, Two Tailed Test

    a-b , Box-Plots of cellular phenotyping within 24 h of 3 rd RNA-LNP vaccine i.m. (Days 3, 6, 20) from spleens of C57Bl/6 animals bearing subcutaneous B16F0 (50,000 cells, n = 5/group). a , Percentage of activated (MHCII + CD86 + ) Ly6C+ cells. b , MHCII and PD-L1 positive of Ly6C+ cells (%). c , Prevalence of CD86 + Ly6C+ cells of CD45+ cells in tumours. d-f , Box-plots of cellular phenotyping within 24 h of 3 rd RNA-LNP vaccine i.m. (Days 3, 6, 20) from spleens of subcutaneous B16F0 (50,000 cells) bearing C57Bl/6 animals (n = 5/group) for (d) percentage of CD44 + T cells in the CD8+ compartment, ( e ) percentage of CD44+PD1+ among CD3+ cells, and ( f ) median fluorescence intensity (MFI) of PD1 on effector CD8 T cells. g,h . Upregulation of PDL1 on tumour cells is dependent on Type I IFN. Wild type and IFN-gamma KO mice with s.c. B16F0 tumours (50,000 cells) were treated with three doses of mRNA vaccines (Days 3, 6, and 17) with or without twice weekly antibodies blocking the IFN-a receptor (IFNAR1) (n = 4 untreated, n = 5 for all other groups). PDL1 expression on tumour cells was evaluated on Day 18 with flow cytometry. Whiskers extend to highest and lowest values from a box drawn between 1 st and 3 rd quartiles with a line centred at median. Significance was determined using two-tailed unpaired t tests.

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a-b , Box-Plots of cellular phenotyping within 24 h of 3 rd RNA-LNP vaccine i.m. (Days 3, 6, 20) from spleens of C57Bl/6 animals bearing subcutaneous B16F0 (50,000 cells, n = 5/group). a , Percentage of activated (MHCII + CD86 + ) Ly6C+ cells. b , MHCII and PD-L1 positive of Ly6C+ cells (%). c , Prevalence of CD86 + Ly6C+ cells of CD45+ cells in tumours. d-f , Box-plots of cellular phenotyping within 24 h of 3 rd RNA-LNP vaccine i.m. (Days 3, 6, 20) from spleens of subcutaneous B16F0 (50,000 cells) bearing C57Bl/6 animals (n = 5/group) for (d) percentage of CD44 + T cells in the CD8+ compartment, ( e ) percentage of CD44+PD1+ among CD3+ cells, and ( f ) median fluorescence intensity (MFI) of PD1 on effector CD8 T cells. g,h . Upregulation of PDL1 on tumour cells is dependent on Type I IFN. Wild type and IFN-gamma KO mice with s.c. B16F0 tumours (50,000 cells) were treated with three doses of mRNA vaccines (Days 3, 6, and 17) with or without twice weekly antibodies blocking the IFN-a receptor (IFNAR1) (n = 4 untreated, n = 5 for all other groups). PDL1 expression on tumour cells was evaluated on Day 18 with flow cytometry. Whiskers extend to highest and lowest values from a box drawn between 1 st and 3 rd quartiles with a line centred at median. Significance was determined using two-tailed unpaired t tests.

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques: Fluorescence, Vaccines, Blocking Assay, Expressing, Flow Cytometry, Two Tailed Test

    a , Schematic of the experimental design in which blood was drawn from five healthy individuals at baseline and 6 h, 24 h, 7 days and 14 days after Spikevax (mRNA-1273) COVID-19 mRNA immunization. b , c , Individual datapoints highlighting changes in expression of IFNα from baseline to 24 h for each of five healthy volunteers. Data are expressed as the fold change measured using the NULISAseq Inflammation Panel ( b ). The concentration was also measured separately with NULISAseq absolute quantification (AQ) ( c ). d , Dynamic expression of the cytokines that are significantly elevated at 24 h at 6 h, 24 h, 7 days and 14 days after COVID-19 mRNA vaccination. Significant variables were defined as those with P < 0.05 and a log 2 -transformed fold change with an absolute value of greater than 0.5 after linear modelling with fixed effects. Adjusted P values were calculated using moderated two-tailed t -tests with false-discovery rate (FDR) correction for multiple testing. e , f , PD-L1 expression on circulating myeloid cells (CD3 − CD19 − CD56 − CD11b + ) ( n = 5) ( e ) and DCs (CD3 − CD19 − CD56 − CD11c + MHC-II + ) ( n = 5) ( f ) at 6 h, 24 h and 7 days after immunization. g , h , Activation of natural killer cells (CD56 + ; n = 5) ( g ), and T cells expressed as numbers of CD69 + cells of CD8 + CD3 + cells ( n = 5) ( h ) at 6 h, 24 h, 7 days and 14 days after immunization. Data are mean ± s.e.m. P values were calculated using two-tailed paired t -tests.

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a , Schematic of the experimental design in which blood was drawn from five healthy individuals at baseline and 6 h, 24 h, 7 days and 14 days after Spikevax (mRNA-1273) COVID-19 mRNA immunization. b , c , Individual datapoints highlighting changes in expression of IFNα from baseline to 24 h for each of five healthy volunteers. Data are expressed as the fold change measured using the NULISAseq Inflammation Panel ( b ). The concentration was also measured separately with NULISAseq absolute quantification (AQ) ( c ). d , Dynamic expression of the cytokines that are significantly elevated at 24 h at 6 h, 24 h, 7 days and 14 days after COVID-19 mRNA vaccination. Significant variables were defined as those with P < 0.05 and a log 2 -transformed fold change with an absolute value of greater than 0.5 after linear modelling with fixed effects. Adjusted P values were calculated using moderated two-tailed t -tests with false-discovery rate (FDR) correction for multiple testing. e , f , PD-L1 expression on circulating myeloid cells (CD3 − CD19 − CD56 − CD11b + ) ( n = 5) ( e ) and DCs (CD3 − CD19 − CD56 − CD11c + MHC-II + ) ( n = 5) ( f ) at 6 h, 24 h and 7 days after immunization. g , h , Activation of natural killer cells (CD56 + ; n = 5) ( g ), and T cells expressed as numbers of CD69 + cells of CD8 + CD3 + cells ( n = 5) ( h ) at 6 h, 24 h, 7 days and 14 days after immunization. Data are mean ± s.e.m. P values were calculated using two-tailed paired t -tests.

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques: Expressing, Concentration Assay, Quantitative Proteomics, Transformation Assay, Two Tailed Test, Activation Assay

    a , Schematic depicting the experimental design wherein blood was drawn from eleven healthy subjects at baseline and 6 h, 24 h, and 48 h after BNT162b COVID mRNA immunization. b , Heat map displaying dynamic expression of the cytokines that are significantly elevated at 24 h at the following time points: 6 h, 24 h, and 48 h after COVID mRNA vaccination. Significant variables were defined as those with p < .05 and log2-Fold-Change with absolute value greater than 0.5 following linear modelling with fixed effect. Adjusted p values were calculated using moderated two-tailed t-tests with FDR correction for multiple testing. c-d , Individual data points highlighting changes in expression of IFN-α from baseline to 24 h for healthy volunteers (n = 11) expressed as fold change from baseline ( c ) and concentration ( d ). e-h , PD-L1 expression on circulating myeloid cells ( e ) and dendritic cells ( f ), activation of NK cells (g ), and activation of T cells expressed at percentage of CD69 + CD8+ cells ( h ) at baseline, 6 h ( 6 h), 24 h (24 h), and 48 h (48 h) after immunization (n = 7). Data are presented as means with standard error. p values in e - h are results of two-tailed paired t tests. i , Heatmap displaying differentially expressed cytokines for patients receiving Spikevax (2023-2024 formulation, 50 µg mRNA) relative to the Comirnaty COVID mRNA vaccine (2024-2025 formulation, 30 µg mRNA). Moderated t tests were performed on per-patient log 2 fold change differences between cytokines at baseline vs 6 h or 24 h, with direct comparison of fold change from baseline in volunteers treated with either Moderna or Pfizer at each timepoint. Relative fold change for Moderna compared to Pfizer was displayed for differences that were significant with |log 2 FC | > 0.5 and p < 0.05 at either 6 h or 24 h after multiple comparisons testing. j,k . Cumulative moving average of PDL1 expression for patients in the NSCLC ( j ) and Tissue Agnostic ( k ) cohorts stratified by the time from each patient’s most recent COVID mRNA vaccine. Data indicates the average of all TPS measurements from patients who received biopsy within each period from COVID mRNA immunization. Blue lines indicate unvaccinated patient average TPS.

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a , Schematic depicting the experimental design wherein blood was drawn from eleven healthy subjects at baseline and 6 h, 24 h, and 48 h after BNT162b COVID mRNA immunization. b , Heat map displaying dynamic expression of the cytokines that are significantly elevated at 24 h at the following time points: 6 h, 24 h, and 48 h after COVID mRNA vaccination. Significant variables were defined as those with p < .05 and log2-Fold-Change with absolute value greater than 0.5 following linear modelling with fixed effect. Adjusted p values were calculated using moderated two-tailed t-tests with FDR correction for multiple testing. c-d , Individual data points highlighting changes in expression of IFN-α from baseline to 24 h for healthy volunteers (n = 11) expressed as fold change from baseline ( c ) and concentration ( d ). e-h , PD-L1 expression on circulating myeloid cells ( e ) and dendritic cells ( f ), activation of NK cells (g ), and activation of T cells expressed at percentage of CD69 + CD8+ cells ( h ) at baseline, 6 h ( 6 h), 24 h (24 h), and 48 h (48 h) after immunization (n = 7). Data are presented as means with standard error. p values in e - h are results of two-tailed paired t tests. i , Heatmap displaying differentially expressed cytokines for patients receiving Spikevax (2023-2024 formulation, 50 µg mRNA) relative to the Comirnaty COVID mRNA vaccine (2024-2025 formulation, 30 µg mRNA). Moderated t tests were performed on per-patient log 2 fold change differences between cytokines at baseline vs 6 h or 24 h, with direct comparison of fold change from baseline in volunteers treated with either Moderna or Pfizer at each timepoint. Relative fold change for Moderna compared to Pfizer was displayed for differences that were significant with |log 2 FC | > 0.5 and p < 0.05 at either 6 h or 24 h after multiple comparisons testing. j,k . Cumulative moving average of PDL1 expression for patients in the NSCLC ( j ) and Tissue Agnostic ( k ) cohorts stratified by the time from each patient’s most recent COVID mRNA vaccine. Data indicates the average of all TPS measurements from patients who received biopsy within each period from COVID mRNA immunization. Blue lines indicate unvaccinated patient average TPS.

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques: Expressing, Two Tailed Test, Concentration Assay, Activation Assay, Formulation, Comparison

    a , Schematic of patients with NSCLC biopsies documenting PD-L1 TPS. b , TPS stratified by COVID-19 mRNA vaccination timing. c , The distribution of samples with TPS ≥ 50%. d , TPS stratified by influenza (left) or pneumonia (right) vaccination timing. e , Schematic of biopsies documenting TPS or combined positive score (CPS) of PD-L1 at our institution (January 2020 to October 2023). f , Primary tumour locations from this diverse cohort. g , TPS in the tissue-agnostic cohort stratified by COVID-19 mRNA immunization timing. h , TPS stratified by timing of influenza vaccination. P values were calculated using two-tailed unpaired t -tests ( b , d and h ), two-tailed unpaired t -tests with Welch’s correction for unequal variance ( g ) and two-sided Fisher’s exact test evaluating the likelihood of TPS greater than 50% ( c ). The violin plots show the distribution of data with individual datapoints included. i , Survival of patients in the tissue-agnostic cohort treated with ICI who received any COVID-19 vaccine within 100 days of initiating ICI or did not receive any COVID-19 vaccine. j , Survival of patients in i stratified by receipt of COVID-19 vaccine before ICI. k , Survival for patients in i who started ICI in the pandemic era (since 2 September 2020, 100 days before mRNA vaccine approval). Survival analyses in the tissue-agnostic cohort were not limited to only those patients with a clear TPS value. l – o , The OS for patients with metastatic stage IV NSCLC treated with ICI who received a COVID-19 mRNA vaccine within 100 days of initiating ICI or did not receive a COVID-19 vaccine who had baseline PD-L1 expression at baseline biopsy TPS < 1% ( l ), 1–49.9% ( m ) or ≥50% ( n ). To evaluate the impact of vaccination in each clinical setting, patients were excluded if they received a COVID-19 mRNA vaccine before their biopsy. o , OS of unvaccinated patients with stage IV NSCLC stratified by era of ICI start who had baseline TPS < 1% at biopsy. P values and HRs were calculated using log-rank (Mantel–Cox, two-sided) tests ( i – o ).

    Journal: Nature

    Article Title: SARS-CoV-2 mRNA vaccines sensitize tumours to immune checkpoint blockade

    doi: 10.1038/s41586-025-09655-y

    Figure Lengend Snippet: a , Schematic of patients with NSCLC biopsies documenting PD-L1 TPS. b , TPS stratified by COVID-19 mRNA vaccination timing. c , The distribution of samples with TPS ≥ 50%. d , TPS stratified by influenza (left) or pneumonia (right) vaccination timing. e , Schematic of biopsies documenting TPS or combined positive score (CPS) of PD-L1 at our institution (January 2020 to October 2023). f , Primary tumour locations from this diverse cohort. g , TPS in the tissue-agnostic cohort stratified by COVID-19 mRNA immunization timing. h , TPS stratified by timing of influenza vaccination. P values were calculated using two-tailed unpaired t -tests ( b , d and h ), two-tailed unpaired t -tests with Welch’s correction for unequal variance ( g ) and two-sided Fisher’s exact test evaluating the likelihood of TPS greater than 50% ( c ). The violin plots show the distribution of data with individual datapoints included. i , Survival of patients in the tissue-agnostic cohort treated with ICI who received any COVID-19 vaccine within 100 days of initiating ICI or did not receive any COVID-19 vaccine. j , Survival of patients in i stratified by receipt of COVID-19 vaccine before ICI. k , Survival for patients in i who started ICI in the pandemic era (since 2 September 2020, 100 days before mRNA vaccine approval). Survival analyses in the tissue-agnostic cohort were not limited to only those patients with a clear TPS value. l – o , The OS for patients with metastatic stage IV NSCLC treated with ICI who received a COVID-19 mRNA vaccine within 100 days of initiating ICI or did not receive a COVID-19 vaccine who had baseline PD-L1 expression at baseline biopsy TPS < 1% ( l ), 1–49.9% ( m ) or ≥50% ( n ). To evaluate the impact of vaccination in each clinical setting, patients were excluded if they received a COVID-19 mRNA vaccine before their biopsy. o , OS of unvaccinated patients with stage IV NSCLC stratified by era of ICI start who had baseline TPS < 1% at biopsy. P values and HRs were calculated using log-rank (Mantel–Cox, two-sided) tests ( i – o ).

    Article Snippet: PP65 mRNA was capped using ARCA (NEB, S1411L) followed by treatment with mRNA cap 2′- O -methyltransferase (NEB, M0366L).

    Techniques: Two Tailed Test, Expressing

    ( A ) Schematic depicting the AIM assay procedure and protocol variations that were tested: (1) presence/absence of human serum, (2) use of whole blood, or fresh or frozen PBMCs, (3) stimulation with peptide, whole protein or other antigens; (4), stimulation time; (5) AIM marker combinations and (6) and data analysis strategy. ( B-E ) Replicate AIM assays were performed on cryopreserved PBMCs from 5 donors, with 4-8 technical replicates per donor spread across 2-4 independent experiments. PBMCs were stimulated for 20 h with CMV pp65 peptides and AIM responses were measured by flow cytometry as CD4 + or CD8 + T cells co-expressing the indicated AIMs. (B and C) Representative dot plots showing AIM + cells after gating on CD4 + (B) or CD8 + (C) T cells. (D and E) paired raw AIM + frequencies among CD4 + (D) and CD8 + (E) T cells. Percentage coefficients of variation (CV) are displayed above the responses for each donor. Each line represents the paired unstimulated control and pp65-stimulated AIM signal from a single technical replicate within one donor. ( F and G ) The source(s) of variance contributing to variability in pp65-stimulated CD4 + (F) and CD8 + (G) AIM + cell frequencies were calculated after subtracting the corresponding unstimulated AIM + frequencies. A mixed effects model with donor, experiment (technical replicate) and operator (the individual performing the AIM assay) as random effects was used. Note that for CD137 + /CD69 + (CD4 + ) and CD107a + /CD137 + (CD8 + ) data, the mixed effects model failed to converge and variance components could not be calculated. Graphs show variance components expressed as percentages of total variance.

    Journal: bioRxiv

    Article Title: Reproducible detection of antigen-specific T cells and Tregs via standardized and automated activation-induced marker assay workflows

    doi: 10.1101/2025.07.15.664847

    Figure Lengend Snippet: ( A ) Schematic depicting the AIM assay procedure and protocol variations that were tested: (1) presence/absence of human serum, (2) use of whole blood, or fresh or frozen PBMCs, (3) stimulation with peptide, whole protein or other antigens; (4), stimulation time; (5) AIM marker combinations and (6) and data analysis strategy. ( B-E ) Replicate AIM assays were performed on cryopreserved PBMCs from 5 donors, with 4-8 technical replicates per donor spread across 2-4 independent experiments. PBMCs were stimulated for 20 h with CMV pp65 peptides and AIM responses were measured by flow cytometry as CD4 + or CD8 + T cells co-expressing the indicated AIMs. (B and C) Representative dot plots showing AIM + cells after gating on CD4 + (B) or CD8 + (C) T cells. (D and E) paired raw AIM + frequencies among CD4 + (D) and CD8 + (E) T cells. Percentage coefficients of variation (CV) are displayed above the responses for each donor. Each line represents the paired unstimulated control and pp65-stimulated AIM signal from a single technical replicate within one donor. ( F and G ) The source(s) of variance contributing to variability in pp65-stimulated CD4 + (F) and CD8 + (G) AIM + cell frequencies were calculated after subtracting the corresponding unstimulated AIM + frequencies. A mixed effects model with donor, experiment (technical replicate) and operator (the individual performing the AIM assay) as random effects was used. Note that for CD137 + /CD69 + (CD4 + ) and CD107a + /CD137 + (CD8 + ) data, the mixed effects model failed to converge and variance components could not be calculated. Graphs show variance components expressed as percentages of total variance.

    Article Snippet: Cells were incubated for 6, 20 or 44 h with media, 1.5 μg/mL PepTivator CMV pp65 (Miltenyi), 3.3 μg/mL CMV pp65 recombinant protein (Miltenyi), 1 μg/mL PepTivator SARS-CoV-2 Prot_S (Miltenyi), 1/100 Infanrix hexa (GSK) or 1/400 CytoStim (Miltenyi).

    Techniques: Marker, Flow Cytometry, Expressing, Control

    ( A ) Re-analysis of previously published AIM assay data from SARS-CoV-2 Spike peptide-stimulated PBMCs from solid organ transplant recipients (n = 33) vaccinated with three doses of a COVID-19 mRNA vaccine (PREVENT cohort) , or ( B ) new analysis of CMV pp65-stimulated PBMCs from 6 healthy donors assayed across 3 independent experiments at each of 4 distinct research centres in the CAN-ASC cohort (n = 52 total). Correlation and linear regression analyses of unstimulated AIM + frequencies with raw antigen-stimulated AIM + frequencies (left panel), or net responses after subtracting (centre panel) or dividing by (right panel) the unstimulated condition. CD134 + /CD25 + frequencies among CD4 + T cells (upper panel) and CD137 + /CD69 + frequencies among CD8 + T cells (lower panel) are presented. Spearman ρ and p-values are shown from Spearman correlation tests. The solid line is derived from linear regression analysis. For the CAN-ASC cohort, regression and correlation analyses were performed after correcting for between-donor variation ( C ) Schematic showing the workflow of the Box-Cox transformation method of correcting for AIM + cells in the unstimulated control. Raw AIM + frequencies are transformed using the Box-Cox formula with a user-defined parameter l؝[0,1] prior to subtracting to obtain a net signal on the Box-Cox-transformed scale. Inverse Box-Cox transformation of the difference restores the AIM response to the original scale, yielding the stimulation index (SI). ( D and E ) Three statistical methods to estimate optimal values of λ are presented, seeking to minimize correlation between the unstimulated and net stimulated AIM values. Left panel: linear regression, to identify λ giving the highest probability of zero slope (̂β = 0), expressed as a posterior probability distribution for λ. Centre panel: Spearman correlation to identify the value of λ resulting in an estimated zero correlation. Right panel: likelihood profile for λ based on linear regression to estimate the probable optimal value of λ. Values were estimated for the (D) PREVENT or (E) CAN-ASC cohorts. ( F ) Analyses of the CAN-ASC cohort showing ratios of biological (between-donor) variance to total variance (intra-class correlation, ICC; green solid line) plotted as a function of λ using the Box-Cox-corrected stimulation index for CD4 + and CD8 + AIM responses to CMV pp65. ICC ratios for raw (untransformed) AIM + frequencies are indicated by the grey dotted line. ( G ) Comparison of CVs calculated between technical replicates within individual donors for raw AIM + frequencies, subtraction of or division by the unstimulated AIM + frequency, or Box-Cox-corrected SI. Each point is the CV of technical replicates from one donor, representing within-donor technical variability. P-values are shown from Dunnett’s multiple comparisons test following one-way repeated measures ANOVA. CVs were adjusted to account for the effect of a change in distribution using bootstrap estimates, where the same transformation was repeatedly applied after randomly replacing unstimulated values. ( H and I ) Re-analysis of AIM responses for (H) CD4 + and (I) CD8 + T cells in n = 40 solid organ transplant recipients from the PREVENT cohort throughout a three-dose COVID-19 mRNA vaccination schedule calculated by subtracting (left) or dividing by (centre) the AIM + frequencies in the unstimulated condition, or Box-Cox-corrected SI values (right). P-values were calculated from log 2 -transformed data using a mixed-effects model with Dunnett’s multiple comparisons test. The bolded p-values denote significant differences between timepoints detected only by analysis of Box-Cox-corrected SI values. See also Figures S2-S5 and Document S1.

    Journal: bioRxiv

    Article Title: Reproducible detection of antigen-specific T cells and Tregs via standardized and automated activation-induced marker assay workflows

    doi: 10.1101/2025.07.15.664847

    Figure Lengend Snippet: ( A ) Re-analysis of previously published AIM assay data from SARS-CoV-2 Spike peptide-stimulated PBMCs from solid organ transplant recipients (n = 33) vaccinated with three doses of a COVID-19 mRNA vaccine (PREVENT cohort) , or ( B ) new analysis of CMV pp65-stimulated PBMCs from 6 healthy donors assayed across 3 independent experiments at each of 4 distinct research centres in the CAN-ASC cohort (n = 52 total). Correlation and linear regression analyses of unstimulated AIM + frequencies with raw antigen-stimulated AIM + frequencies (left panel), or net responses after subtracting (centre panel) or dividing by (right panel) the unstimulated condition. CD134 + /CD25 + frequencies among CD4 + T cells (upper panel) and CD137 + /CD69 + frequencies among CD8 + T cells (lower panel) are presented. Spearman ρ and p-values are shown from Spearman correlation tests. The solid line is derived from linear regression analysis. For the CAN-ASC cohort, regression and correlation analyses were performed after correcting for between-donor variation ( C ) Schematic showing the workflow of the Box-Cox transformation method of correcting for AIM + cells in the unstimulated control. Raw AIM + frequencies are transformed using the Box-Cox formula with a user-defined parameter l؝[0,1] prior to subtracting to obtain a net signal on the Box-Cox-transformed scale. Inverse Box-Cox transformation of the difference restores the AIM response to the original scale, yielding the stimulation index (SI). ( D and E ) Three statistical methods to estimate optimal values of λ are presented, seeking to minimize correlation between the unstimulated and net stimulated AIM values. Left panel: linear regression, to identify λ giving the highest probability of zero slope (̂β = 0), expressed as a posterior probability distribution for λ. Centre panel: Spearman correlation to identify the value of λ resulting in an estimated zero correlation. Right panel: likelihood profile for λ based on linear regression to estimate the probable optimal value of λ. Values were estimated for the (D) PREVENT or (E) CAN-ASC cohorts. ( F ) Analyses of the CAN-ASC cohort showing ratios of biological (between-donor) variance to total variance (intra-class correlation, ICC; green solid line) plotted as a function of λ using the Box-Cox-corrected stimulation index for CD4 + and CD8 + AIM responses to CMV pp65. ICC ratios for raw (untransformed) AIM + frequencies are indicated by the grey dotted line. ( G ) Comparison of CVs calculated between technical replicates within individual donors for raw AIM + frequencies, subtraction of or division by the unstimulated AIM + frequency, or Box-Cox-corrected SI. Each point is the CV of technical replicates from one donor, representing within-donor technical variability. P-values are shown from Dunnett’s multiple comparisons test following one-way repeated measures ANOVA. CVs were adjusted to account for the effect of a change in distribution using bootstrap estimates, where the same transformation was repeatedly applied after randomly replacing unstimulated values. ( H and I ) Re-analysis of AIM responses for (H) CD4 + and (I) CD8 + T cells in n = 40 solid organ transplant recipients from the PREVENT cohort throughout a three-dose COVID-19 mRNA vaccination schedule calculated by subtracting (left) or dividing by (centre) the AIM + frequencies in the unstimulated condition, or Box-Cox-corrected SI values (right). P-values were calculated from log 2 -transformed data using a mixed-effects model with Dunnett’s multiple comparisons test. The bolded p-values denote significant differences between timepoints detected only by analysis of Box-Cox-corrected SI values. See also Figures S2-S5 and Document S1.

    Article Snippet: Cells were incubated for 6, 20 or 44 h with media, 1.5 μg/mL PepTivator CMV pp65 (Miltenyi), 3.3 μg/mL CMV pp65 recombinant protein (Miltenyi), 1 μg/mL PepTivator SARS-CoV-2 Prot_S (Miltenyi), 1/100 Infanrix hexa (GSK) or 1/400 CytoStim (Miltenyi).

    Techniques: Derivative Assay, Transformation Assay, Control, Comparison

    Comparisons of AIM responses using fresh whole blood, or fresh (PBMC) or cryopreserved (PBMC-C) peripheral blood mononuclear cells, with or without a 24-h delay in processing (- 24h). Cells were rested overnight and stimulated for 20 h with cytomegalovirus (CMV) pp65 peptides, CMV pp65 whole protein, or Infanrix vaccine. ( A ) Percentage viable (fixable viability dye-eFluor 780-negative) cells of total CD3 + T cells measured by flow cytometry in AIM assays. Error bars represent the standard deviation of the mean. P-values are shown for planned comparisons using Dunn’s multiple comparisons test following a Friedman test. ( B-E ) Representative flow cytometry (B and C) and quantification of stimulation index for each AIM relative to the unstimulated control (D and E) among CD4 + (B and D) and CD8 + (C and E) T cells from each cell source. ( F ) Ratio of AIM stimulation indices between CMV pp65 protein- and peptide-stimulated CD4 + T cells in relation to cell source. Positive or negative ratios indicate greater detection of AIM responses with whole protein or peptide stimulation, respectively, while confidence intervals overlapping zero indicate no significant difference between protein and peptide stimulation. (D, E and F) Error bars are 95% confidence intervals calculated on a log 2 scale. (A-F) Data from n=6 healthy donors. See also Figure S7.

    Journal: bioRxiv

    Article Title: Reproducible detection of antigen-specific T cells and Tregs via standardized and automated activation-induced marker assay workflows

    doi: 10.1101/2025.07.15.664847

    Figure Lengend Snippet: Comparisons of AIM responses using fresh whole blood, or fresh (PBMC) or cryopreserved (PBMC-C) peripheral blood mononuclear cells, with or without a 24-h delay in processing (- 24h). Cells were rested overnight and stimulated for 20 h with cytomegalovirus (CMV) pp65 peptides, CMV pp65 whole protein, or Infanrix vaccine. ( A ) Percentage viable (fixable viability dye-eFluor 780-negative) cells of total CD3 + T cells measured by flow cytometry in AIM assays. Error bars represent the standard deviation of the mean. P-values are shown for planned comparisons using Dunn’s multiple comparisons test following a Friedman test. ( B-E ) Representative flow cytometry (B and C) and quantification of stimulation index for each AIM relative to the unstimulated control (D and E) among CD4 + (B and D) and CD8 + (C and E) T cells from each cell source. ( F ) Ratio of AIM stimulation indices between CMV pp65 protein- and peptide-stimulated CD4 + T cells in relation to cell source. Positive or negative ratios indicate greater detection of AIM responses with whole protein or peptide stimulation, respectively, while confidence intervals overlapping zero indicate no significant difference between protein and peptide stimulation. (D, E and F) Error bars are 95% confidence intervals calculated on a log 2 scale. (A-F) Data from n=6 healthy donors. See also Figure S7.

    Article Snippet: Cells were incubated for 6, 20 or 44 h with media, 1.5 μg/mL PepTivator CMV pp65 (Miltenyi), 3.3 μg/mL CMV pp65 recombinant protein (Miltenyi), 1 μg/mL PepTivator SARS-CoV-2 Prot_S (Miltenyi), 1/100 Infanrix hexa (GSK) or 1/400 CytoStim (Miltenyi).

    Techniques: Flow Cytometry, Standard Deviation, Control

    ( A ) Representative and ( B ) quantified flow cytometry data showing CD134 + /CD25 + cells among CD4 + T cells following stimulation of cryopreserved PBMCs (PBMC-C) or fresh whole blood with CMV pp65 peptides for 6, 20 or 44 h. ( C ) Representative and ( D ) quantified flow cytometry showing CD137 + /CD69 + cells among CD8 + T cells following stimulation of PBMC-C or fresh whole blood with CMV pp65 peptides for 6, 20 or 44 h. (B and D) SIs are represented as log 2 - transformed data. P-values are shown from one-sample t-tests, with AIM signals considered present when the mean log 2 -transformed SI significantly differs from zero. All data are paired samples from n = 4 healthy donors. ns, not significant (p > 0.05); *, p ≤ 0.05; **, p ≤ 0.01; ***, p ≤ 0.001; ****, p ≤ 0.0001. See also Figure S8.

    Journal: bioRxiv

    Article Title: Reproducible detection of antigen-specific T cells and Tregs via standardized and automated activation-induced marker assay workflows

    doi: 10.1101/2025.07.15.664847

    Figure Lengend Snippet: ( A ) Representative and ( B ) quantified flow cytometry data showing CD134 + /CD25 + cells among CD4 + T cells following stimulation of cryopreserved PBMCs (PBMC-C) or fresh whole blood with CMV pp65 peptides for 6, 20 or 44 h. ( C ) Representative and ( D ) quantified flow cytometry showing CD137 + /CD69 + cells among CD8 + T cells following stimulation of PBMC-C or fresh whole blood with CMV pp65 peptides for 6, 20 or 44 h. (B and D) SIs are represented as log 2 - transformed data. P-values are shown from one-sample t-tests, with AIM signals considered present when the mean log 2 -transformed SI significantly differs from zero. All data are paired samples from n = 4 healthy donors. ns, not significant (p > 0.05); *, p ≤ 0.05; **, p ≤ 0.01; ***, p ≤ 0.001; ****, p ≤ 0.0001. See also Figure S8.

    Article Snippet: Cells were incubated for 6, 20 or 44 h with media, 1.5 μg/mL PepTivator CMV pp65 (Miltenyi), 3.3 μg/mL CMV pp65 recombinant protein (Miltenyi), 1 μg/mL PepTivator SARS-CoV-2 Prot_S (Miltenyi), 1/100 Infanrix hexa (GSK) or 1/400 CytoStim (Miltenyi).

    Techniques: Flow Cytometry, Transformation Assay

    (A) Representative flow cytometric gating strategy for FOXP3 + /HELIOS + Tregs. ( B ) Effect of stimulation with cytomegalovirus (CMV) pp65 peptides on FOXP3 + and FOXP3 + /HELIOS + cell frequencies among CD4 + T cells over time. P-values represent Tukey’s multiple comparisons test following a two-way ANOVA.( C-E ) Stimulation indices (C and E) or representative flow cytometry (D) for AIM pairs and Boolean combinations in FOXP3 + HELIOS + Tregs following stimulation of cryopreserved PBMCs with pp65 peptides, CMV pp65 whole protein, SARS-CoV-2 Spike peptides or the Infanrix combination vaccine for 20 h. Boolean AND/OR gating combinations comprise CD134/CD69, CD134/CD137 and CD137/CD69 (3xAIM); or 3xAIM plus CD154/CD69, CD134/CD154 and CD137/CD154 (6xAIM). Stimulation index was determined by normalizing pp65 peptide-stimulated AIM + frequencies to the unstimulated control using the box-cox correction method described in . The mean log 2 -transformed stimulation index is shown for each AIM. Error bars represent 95% confidence intervals of the mean. Data represent n = 9 (pp65 and Infanrix 20-h stimulations) and n = 4 (all others) healthy donors. ( F ) Flow cytometric gating strategy to evaluate CD39 + frequencies among CD134 + /CD137 + and non-CD134+/CD137+ (comprising CD134 + /CD137 - , CD134 - /CD137 - and CD134 - /CD137 + cells) FOXP3 + /HELIOS + Tregs and FOXP3/HELIOS - Tconvs. ( G ) Median percentages of CD39 + events among CD134 + /CD137 + or CD134/CD137 - CD4 + /FOXP3 + /HELIOS + Tregs or conventional FOXP3/HELIOS - T cells (Tconvs). ( H ) Positive predictive value (PPV) of CD39 (top) or CD39, CD134 and CD137 (bottom) as markers for antigen-specific Tregs (CD134 + /CD137 + /FOXP3 + /HELIOS + ) among total CD4 + T cells. ns, not significant (p > 0.05); *, p ≤ 0.05; **, p ≤ 0.01; ***, p ≤ 0.001; ****, p ≤ 0.0001. See also Figure S9.

    Journal: bioRxiv

    Article Title: Reproducible detection of antigen-specific T cells and Tregs via standardized and automated activation-induced marker assay workflows

    doi: 10.1101/2025.07.15.664847

    Figure Lengend Snippet: (A) Representative flow cytometric gating strategy for FOXP3 + /HELIOS + Tregs. ( B ) Effect of stimulation with cytomegalovirus (CMV) pp65 peptides on FOXP3 + and FOXP3 + /HELIOS + cell frequencies among CD4 + T cells over time. P-values represent Tukey’s multiple comparisons test following a two-way ANOVA.( C-E ) Stimulation indices (C and E) or representative flow cytometry (D) for AIM pairs and Boolean combinations in FOXP3 + HELIOS + Tregs following stimulation of cryopreserved PBMCs with pp65 peptides, CMV pp65 whole protein, SARS-CoV-2 Spike peptides or the Infanrix combination vaccine for 20 h. Boolean AND/OR gating combinations comprise CD134/CD69, CD134/CD137 and CD137/CD69 (3xAIM); or 3xAIM plus CD154/CD69, CD134/CD154 and CD137/CD154 (6xAIM). Stimulation index was determined by normalizing pp65 peptide-stimulated AIM + frequencies to the unstimulated control using the box-cox correction method described in . The mean log 2 -transformed stimulation index is shown for each AIM. Error bars represent 95% confidence intervals of the mean. Data represent n = 9 (pp65 and Infanrix 20-h stimulations) and n = 4 (all others) healthy donors. ( F ) Flow cytometric gating strategy to evaluate CD39 + frequencies among CD134 + /CD137 + and non-CD134+/CD137+ (comprising CD134 + /CD137 - , CD134 - /CD137 - and CD134 - /CD137 + cells) FOXP3 + /HELIOS + Tregs and FOXP3/HELIOS - Tconvs. ( G ) Median percentages of CD39 + events among CD134 + /CD137 + or CD134/CD137 - CD4 + /FOXP3 + /HELIOS + Tregs or conventional FOXP3/HELIOS - T cells (Tconvs). ( H ) Positive predictive value (PPV) of CD39 (top) or CD39, CD134 and CD137 (bottom) as markers for antigen-specific Tregs (CD134 + /CD137 + /FOXP3 + /HELIOS + ) among total CD4 + T cells. ns, not significant (p > 0.05); *, p ≤ 0.05; **, p ≤ 0.01; ***, p ≤ 0.001; ****, p ≤ 0.0001. See also Figure S9.

    Article Snippet: Cells were incubated for 6, 20 or 44 h with media, 1.5 μg/mL PepTivator CMV pp65 (Miltenyi), 3.3 μg/mL CMV pp65 recombinant protein (Miltenyi), 1 μg/mL PepTivator SARS-CoV-2 Prot_S (Miltenyi), 1/100 Infanrix hexa (GSK) or 1/400 CytoStim (Miltenyi).

    Techniques: Flow Cytometry, Control, Transformation Assay

    ( A ) Experimental design for AIM assay inter-site testing. Replicate aliquots of PBMCs from n = 6 healthy donors were assayed in three independent experiments (individual points) by four distinct Canadian research groups (coded A-D). Replicate AIM assay experiments (n = 3 per donor, per site) were performed by stimulating PBMCs (thawed independently for each replicate) for 20 h with CMV pp65 or SARS-CoV-2 Spike peptides. ( B and C ) Stimulation indices of CD134 + /CD25 + frequencies among CD4 + T cells (top) and CD137 + /CD69 + frequencies among CD8 + T cells (bottom). Figure subpanels separate individual donors. Stimulation index was determined by normalizing pp65 peptide-stimulated AIM + frequencies to the unstimulated control using the Box-Cox correction method described in . The means and standard deviations of log 2 -transformed stimulation indices are shown for each AIM. Symbol colours indicate the percent coefficient of variation (CV) within each set of three replicates at each site. The overall CV between sites is shown at the top of the panel for each donor. ( D ) Percent CV in CD4 + (top) and CD8 + (bottom) T cell AIM stimulation indices calculated between technical replicate AIM assays within each site for unstimulated, pp65- stimulated and Spike-stimulated conditions. Each point represents the CV of three technical replicates within one site; bars represent individual donors. CV means with standard deviation are shown. The dotted line represents CV = 30%, a common threshold for acceptable assay reproducibility. ( E and F ) ICCs comparing the technical variability among CD4 + (top) and CD8 + (bottom) AIM responses to (D) CMV pp65 and (E) SARS-CoV-2 Spike using data from replicate AIM assays from different sites and donors. Bars represents the ICC for each AIM as a mean across all sites. The dotted line indicates ICC = 0.5, the point at which biological and technical variability are equal. ( G and H ) Percent CV in CD4 + (top) and CD8 + T cell (bottom) AIM responses to CMV pp65 (F) and SARS-CoV-2 Spike (G) between sites, calculated after averaging three technical replicate AIM assays at each site. Each point represents one donor. Error bars are 95% confidence intervals of the mean. The dotted line represents CV = 30%, a common threshold for acceptable assay reproducibility. ( I ) ICCs comparing the calculated technical variability for replicate AIM assays between sites to biological variability between donors for CD4 + (top) and CD8 + (bottom). The dotted line indicates ICC = 0.5, the point at which biological and technical variability are equal. See also Figures S10-S14.

    Journal: bioRxiv

    Article Title: Reproducible detection of antigen-specific T cells and Tregs via standardized and automated activation-induced marker assay workflows

    doi: 10.1101/2025.07.15.664847

    Figure Lengend Snippet: ( A ) Experimental design for AIM assay inter-site testing. Replicate aliquots of PBMCs from n = 6 healthy donors were assayed in three independent experiments (individual points) by four distinct Canadian research groups (coded A-D). Replicate AIM assay experiments (n = 3 per donor, per site) were performed by stimulating PBMCs (thawed independently for each replicate) for 20 h with CMV pp65 or SARS-CoV-2 Spike peptides. ( B and C ) Stimulation indices of CD134 + /CD25 + frequencies among CD4 + T cells (top) and CD137 + /CD69 + frequencies among CD8 + T cells (bottom). Figure subpanels separate individual donors. Stimulation index was determined by normalizing pp65 peptide-stimulated AIM + frequencies to the unstimulated control using the Box-Cox correction method described in . The means and standard deviations of log 2 -transformed stimulation indices are shown for each AIM. Symbol colours indicate the percent coefficient of variation (CV) within each set of three replicates at each site. The overall CV between sites is shown at the top of the panel for each donor. ( D ) Percent CV in CD4 + (top) and CD8 + (bottom) T cell AIM stimulation indices calculated between technical replicate AIM assays within each site for unstimulated, pp65- stimulated and Spike-stimulated conditions. Each point represents the CV of three technical replicates within one site; bars represent individual donors. CV means with standard deviation are shown. The dotted line represents CV = 30%, a common threshold for acceptable assay reproducibility. ( E and F ) ICCs comparing the technical variability among CD4 + (top) and CD8 + (bottom) AIM responses to (D) CMV pp65 and (E) SARS-CoV-2 Spike using data from replicate AIM assays from different sites and donors. Bars represents the ICC for each AIM as a mean across all sites. The dotted line indicates ICC = 0.5, the point at which biological and technical variability are equal. ( G and H ) Percent CV in CD4 + (top) and CD8 + T cell (bottom) AIM responses to CMV pp65 (F) and SARS-CoV-2 Spike (G) between sites, calculated after averaging three technical replicate AIM assays at each site. Each point represents one donor. Error bars are 95% confidence intervals of the mean. The dotted line represents CV = 30%, a common threshold for acceptable assay reproducibility. ( I ) ICCs comparing the calculated technical variability for replicate AIM assays between sites to biological variability between donors for CD4 + (top) and CD8 + (bottom). The dotted line indicates ICC = 0.5, the point at which biological and technical variability are equal. See also Figures S10-S14.

    Article Snippet: Cells were incubated for 6, 20 or 44 h with media, 1.5 μg/mL PepTivator CMV pp65 (Miltenyi), 3.3 μg/mL CMV pp65 recombinant protein (Miltenyi), 1 μg/mL PepTivator SARS-CoV-2 Prot_S (Miltenyi), 1/100 Infanrix hexa (GSK) or 1/400 CytoStim (Miltenyi).

    Techniques: Control, Transformation Assay, Standard Deviation

    (A) Individuals were trained on identical gating protocols and analyzed the same data files from three technical replicates of 20-h AIM assays with CMV pp65 peptides or SARS-CoV-2 Spike peptides on healthy donor PBMCs (n = 6) collected at four distinct sites designated A-D. Raw flow cytometric data from each replicate at each site was analyzed independently by 3 different individuals. Data represent CVs between individual analysts, as a mean of the analyst CV for the three technical replicates of each donor-site combination. (B and C) An automated AIM gating pipeline was created via analysis of AIM assay data from healthy donors (n = 6) assayed in triplicate at each of four research centres. Comparative flow cytometric gating approaches for manual and automated analyses are shown for (B) CD4 + CD134 + /CD25 + and (C) CD8 + CD137 + /CD69 + T cells following a 20-h incubation of cryopreserved PBMCs with no antigen (unstimulated), CMV pp65 peptides, SARS-CoV-2 Spike peptides or CytoStim. The CytoStim condition was used by the automated software to set donor-specific AIM gates, which were then applied to other stimulation conditions for that donor. (D-F) Multi-centre CMV and SARS-CoV-2 AIM assay data were analyzed manually or using the automated gating software. A central analyst (C1) defined the gating strategy, provided instructions to the manual analysts (C2 and O1-O4), oversaw automated gating development, and was the reference for comparisons. C1, C2 and the automated software each analyzed all data from all sites, while O1-O4 each analyzed data from a single site (O1: A, O2: B, O3: C, O4: D). (D-F) Box-Cox-corrected AIM SI values are shown for (D) CMV and (E) SARS-CoV-2 Spike AIM assays. P-values were calculated via post-hoc Dunnett’s multiple comparisons test following mixed effects analysis and represent paired comparisons between each analyst and C1, and used to compute (F) the total number of comparisons for C2 and automated analyses that were significantly different from the analysis by C1 for CD4 + AIMs. Each of the 32 distinct combinations of CD4 + AIM, site and antigen (CMV or SARS-CoV-2) was considered to be one comparison. Pooled analysis of all comparisons was performed using Fisher’s exact test. (G-I) Spearman correlations of AIM SI values for C1, C2, O1-O4 (pooled) and automated analyses for CMV and for SARS-CoV-2 Spike. Comparisons are shown against (G and H) the reference C1 and (I) for each analyst against all others in a correlation matrix. (J) F1 scores calculated for C2 manual vs. C1 reference (grey) or automated vs. C1 reference (green) analysis of CMV and SARS-CoV-2 AIM assay data. Each point represents the F1 score from a unique donor-site combination, with p-values calculated via paired Wilcoxon signed-rank test after averaging F1 scores from technical replicates. ns, not significant (p > 0.05); *, p ≤ 0.05; **, p ≤ 0.01; ***, p ≤ 0.001; ****, p ≤ 0.0001. See also Figures S15-S19.

    Journal: bioRxiv

    Article Title: Reproducible detection of antigen-specific T cells and Tregs via standardized and automated activation-induced marker assay workflows

    doi: 10.1101/2025.07.15.664847

    Figure Lengend Snippet: (A) Individuals were trained on identical gating protocols and analyzed the same data files from three technical replicates of 20-h AIM assays with CMV pp65 peptides or SARS-CoV-2 Spike peptides on healthy donor PBMCs (n = 6) collected at four distinct sites designated A-D. Raw flow cytometric data from each replicate at each site was analyzed independently by 3 different individuals. Data represent CVs between individual analysts, as a mean of the analyst CV for the three technical replicates of each donor-site combination. (B and C) An automated AIM gating pipeline was created via analysis of AIM assay data from healthy donors (n = 6) assayed in triplicate at each of four research centres. Comparative flow cytometric gating approaches for manual and automated analyses are shown for (B) CD4 + CD134 + /CD25 + and (C) CD8 + CD137 + /CD69 + T cells following a 20-h incubation of cryopreserved PBMCs with no antigen (unstimulated), CMV pp65 peptides, SARS-CoV-2 Spike peptides or CytoStim. The CytoStim condition was used by the automated software to set donor-specific AIM gates, which were then applied to other stimulation conditions for that donor. (D-F) Multi-centre CMV and SARS-CoV-2 AIM assay data were analyzed manually or using the automated gating software. A central analyst (C1) defined the gating strategy, provided instructions to the manual analysts (C2 and O1-O4), oversaw automated gating development, and was the reference for comparisons. C1, C2 and the automated software each analyzed all data from all sites, while O1-O4 each analyzed data from a single site (O1: A, O2: B, O3: C, O4: D). (D-F) Box-Cox-corrected AIM SI values are shown for (D) CMV and (E) SARS-CoV-2 Spike AIM assays. P-values were calculated via post-hoc Dunnett’s multiple comparisons test following mixed effects analysis and represent paired comparisons between each analyst and C1, and used to compute (F) the total number of comparisons for C2 and automated analyses that were significantly different from the analysis by C1 for CD4 + AIMs. Each of the 32 distinct combinations of CD4 + AIM, site and antigen (CMV or SARS-CoV-2) was considered to be one comparison. Pooled analysis of all comparisons was performed using Fisher’s exact test. (G-I) Spearman correlations of AIM SI values for C1, C2, O1-O4 (pooled) and automated analyses for CMV and for SARS-CoV-2 Spike. Comparisons are shown against (G and H) the reference C1 and (I) for each analyst against all others in a correlation matrix. (J) F1 scores calculated for C2 manual vs. C1 reference (grey) or automated vs. C1 reference (green) analysis of CMV and SARS-CoV-2 AIM assay data. Each point represents the F1 score from a unique donor-site combination, with p-values calculated via paired Wilcoxon signed-rank test after averaging F1 scores from technical replicates. ns, not significant (p > 0.05); *, p ≤ 0.05; **, p ≤ 0.01; ***, p ≤ 0.001; ****, p ≤ 0.0001. See also Figures S15-S19.

    Article Snippet: Cells were incubated for 6, 20 or 44 h with media, 1.5 μg/mL PepTivator CMV pp65 (Miltenyi), 3.3 μg/mL CMV pp65 recombinant protein (Miltenyi), 1 μg/mL PepTivator SARS-CoV-2 Prot_S (Miltenyi), 1/100 Infanrix hexa (GSK) or 1/400 CytoStim (Miltenyi).

    Techniques: Incubation, Software, Comparison