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Miltenyi Biotec cd69 antibody, anti-human, reafinity
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Impact of serum on γδ T cell expansion and phenotype. (A) Fold expansion comparison with and without 5% human AB serum in the culture medium, analyzed using the Wilcoxon matched pairs signed rank test, n=14. (B) Cellular composition assessed by flow cytometry throughout the expansion, illustrated for a representative donor. (C) γδ T cell phenotype determined by flow cytometry based on CD27 and CD45RA expression. Exemplary plots on day 13 and proportions throughout the culture for a representative donor. (D) Expression of activation markers on γδ T cells analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15 for <t>CD69,</t> CD56, and HLA-DR; n=6 for NKG2D. (E) Expression of inhibitory and exhaustion markers on γδ T cells, analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15. In the figures, the significance levels denoted by stars are as follows: *p < 0.05, ***p < 0.001, ****p < 0.0001, ns = non-significant.
Anti Human Cd69 Rea824, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Impact of serum on γδ T cell expansion and phenotype. (A) Fold expansion comparison with and without 5% human AB serum in the culture medium, analyzed using the Wilcoxon matched pairs signed rank test, n=14. (B) Cellular composition assessed by flow cytometry throughout the expansion, illustrated for a representative donor. (C) γδ T cell phenotype determined by flow cytometry based on CD27 and CD45RA expression. Exemplary plots on day 13 and proportions throughout the culture for a representative donor. (D) Expression of activation markers on γδ T cells analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15 for <t>CD69,</t> CD56, and HLA-DR; n=6 for NKG2D. (E) Expression of inhibitory and exhaustion markers on γδ T cells, analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15. In the figures, the significance levels denoted by stars are as follows: *p < 0.05, ***p < 0.001, ****p < 0.0001, ns = non-significant.
Cd69 Antibody, Anti Mouse, Reafinity, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Miltenyi Biotec cd69 antibody, anti-human
Impact of serum on γδ T cell expansion and phenotype. (A) Fold expansion comparison with and without 5% human AB serum in the culture medium, analyzed using the Wilcoxon matched pairs signed rank test, n=14. (B) Cellular composition assessed by flow cytometry throughout the expansion, illustrated for a representative donor. (C) γδ T cell phenotype determined by flow cytometry based on CD27 and CD45RA expression. Exemplary plots on day 13 and proportions throughout the culture for a representative donor. (D) Expression of activation markers on γδ T cells analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15 for <t>CD69,</t> CD56, and HLA-DR; n=6 for NKG2D. (E) Expression of inhibitory and exhaustion markers on γδ T cells, analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15. In the figures, the significance levels denoted by stars are as follows: *p < 0.05, ***p < 0.001, ****p < 0.0001, ns = non-significant.
Cd69 Antibody, Anti Human, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Impact of serum on γδ T cell expansion and phenotype. (A) Fold expansion comparison with and without 5% human AB serum in the culture medium, analyzed using the Wilcoxon matched pairs signed rank test, n=14. (B) Cellular composition assessed by flow cytometry throughout the expansion, illustrated for a representative donor. (C) γδ T cell phenotype determined by flow cytometry based on CD27 and CD45RA expression. Exemplary plots on day 13 and proportions throughout the culture for a representative donor. (D) Expression of activation markers on γδ T cells analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15 for <t>CD69,</t> CD56, and HLA-DR; n=6 for NKG2D. (E) Expression of inhibitory and exhaustion markers on γδ T cells, analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15. In the figures, the significance levels denoted by stars are as follows: *p < 0.05, ***p < 0.001, ****p < 0.0001, ns = non-significant.
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Impact of serum on γδ T cell expansion and phenotype. (A) Fold expansion comparison with and without 5% human AB serum in the culture medium, analyzed using the Wilcoxon matched pairs signed rank test, n=14. (B) Cellular composition assessed by flow cytometry throughout the expansion, illustrated for a representative donor. (C) γδ T cell phenotype determined by flow cytometry based on CD27 and CD45RA expression. Exemplary plots on day 13 and proportions throughout the culture for a representative donor. (D) Expression of activation markers on γδ T cells analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15 for <t>CD69,</t> CD56, and HLA-DR; n=6 for NKG2D. (E) Expression of inhibitory and exhaustion markers on γδ T cells, analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15. In the figures, the significance levels denoted by stars are as follows: *p < 0.05, ***p < 0.001, ****p < 0.0001, ns = non-significant.
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Validation cohort for predicting the risk signature of DLBCL survival based on the discovery cohort. (A) Expression of <t>CD69</t> on infiltrating CD8 + T cells in DLBCL (400X). CD69 (red), CD8 (green), DAPI (blue). (B) Kaplan–Meier curves of OS in DLBCL patients with CD69 + /CD8 + and CD69 + /CD8 + . Cases were classified as CD69 + /CD8 + when ≥10% of infiltrating CD8 + T cells expressed CD69. (C) Expression of CD70 on infiltrating CD8 + T cells in DLBCL (400X). CD70 (green), CD8 (red), DAPI (blue). (D) Kaplan–Meier curves of OS in DLBCL patients with CD70 + /CD8 + and CD70 + /CD8 + . Cases were classified as CD70 + /CD8 + when ≥10% of infiltrating CD8 + T cells expressed CD70. (E) The Kaplan-Meier OS curve of the validation cohort (this work. (n=66)) patients between low risk group (n=34) and high risk group (n=32). This work samples were stratified by risk score. (F) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in this work. (G) The Kaplan-Meier OS curve of the validation cohort ( GSE181063 (n=773)) patients between low risk group (n=387) and high risk group (n=386). GSE181063 samples were stratified by risk score. (H) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in GSE181063 . (I) The Kaplan-Meier OS curve of the validation cohort ( GSE117556 (n=469)) patients between low risk group (n=235) and high risk group (n=234). GSE117556 samples were stratified by risk score. (J) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in GSE117556 . Log-rank tests were used to derive p-values for comparisons between two groups.
Cd69 Polyclonal Antibody, supplied by Proteintech, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Miltenyi Biotec anti cd69
Validation cohort for predicting the risk signature of DLBCL survival based on the discovery cohort. (A) Expression of <t>CD69</t> on infiltrating CD8 + T cells in DLBCL (400X). CD69 (red), CD8 (green), DAPI (blue). (B) Kaplan–Meier curves of OS in DLBCL patients with CD69 + /CD8 + and CD69 + /CD8 + . Cases were classified as CD69 + /CD8 + when ≥10% of infiltrating CD8 + T cells expressed CD69. (C) Expression of CD70 on infiltrating CD8 + T cells in DLBCL (400X). CD70 (green), CD8 (red), DAPI (blue). (D) Kaplan–Meier curves of OS in DLBCL patients with CD70 + /CD8 + and CD70 + /CD8 + . Cases were classified as CD70 + /CD8 + when ≥10% of infiltrating CD8 + T cells expressed CD70. (E) The Kaplan-Meier OS curve of the validation cohort (this work. (n=66)) patients between low risk group (n=34) and high risk group (n=32). This work samples were stratified by risk score. (F) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in this work. (G) The Kaplan-Meier OS curve of the validation cohort ( GSE181063 (n=773)) patients between low risk group (n=387) and high risk group (n=386). GSE181063 samples were stratified by risk score. (H) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in GSE181063 . (I) The Kaplan-Meier OS curve of the validation cohort ( GSE117556 (n=469)) patients between low risk group (n=235) and high risk group (n=234). GSE117556 samples were stratified by risk score. (J) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in GSE117556 . Log-rank tests were used to derive p-values for comparisons between two groups.
Anti Cd69, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Impact of serum on γδ T cell expansion and phenotype. (A) Fold expansion comparison with and without 5% human AB serum in the culture medium, analyzed using the Wilcoxon matched pairs signed rank test, n=14. (B) Cellular composition assessed by flow cytometry throughout the expansion, illustrated for a representative donor. (C) γδ T cell phenotype determined by flow cytometry based on CD27 and CD45RA expression. Exemplary plots on day 13 and proportions throughout the culture for a representative donor. (D) Expression of activation markers on γδ T cells analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15 for CD69, CD56, and HLA-DR; n=6 for NKG2D. (E) Expression of inhibitory and exhaustion markers on γδ T cells, analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15. In the figures, the significance levels denoted by stars are as follows: *p < 0.05, ***p < 0.001, ****p < 0.0001, ns = non-significant.

Journal: Frontiers in Immunology

Article Title: Human serum influences functional plasticity and transcriptomic landscape of γδ T cells in vitro

doi: 10.3389/fimmu.2026.1722590

Figure Lengend Snippet: Impact of serum on γδ T cell expansion and phenotype. (A) Fold expansion comparison with and without 5% human AB serum in the culture medium, analyzed using the Wilcoxon matched pairs signed rank test, n=14. (B) Cellular composition assessed by flow cytometry throughout the expansion, illustrated for a representative donor. (C) γδ T cell phenotype determined by flow cytometry based on CD27 and CD45RA expression. Exemplary plots on day 13 and proportions throughout the culture for a representative donor. (D) Expression of activation markers on γδ T cells analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15 for CD69, CD56, and HLA-DR; n=6 for NKG2D. (E) Expression of inhibitory and exhaustion markers on γδ T cells, analyzed by flow cytometry. Šídák’s multiple comparisons test, n=15. In the figures, the significance levels denoted by stars are as follows: *p < 0.05, ***p < 0.001, ****p < 0.0001, ns = non-significant.

Article Snippet: The following antibodies were used for cell surface staining and intracellular staining: anti-human CD107a REA803, anti-human CD14 REA599, anti-human CD19 REA675, anti-human CD27 REA499, anti-human CD3 REA613, anti-human CD45RA REA562, anti-human CD56 REA196, anti-human CD69 REA824, anti-human Granzyme B REA226, anti-human HLA/DR REA805, anti-human IFNγ 45-15, anti-human KIR2D REA1042, anti-human NKG2D REA797, anti-human PD-1 REA1165, anti-human Perforin REA1061, anti-human REA Control (I) REA293, anti-human REA Control (S) REA293, anti-human TCR Vδ1 REA173, anti-human TCR Vδ2 REA771, anti-human TCR γδ REA591, anti-human TIGIT REA1004, and anti-human TIM3 F38-2E2 (all from Miltenyi Biotec).

Techniques: Comparison, Flow Cytometry, Expressing, Activation Assay

Validation cohort for predicting the risk signature of DLBCL survival based on the discovery cohort. (A) Expression of CD69 on infiltrating CD8 + T cells in DLBCL (400X). CD69 (red), CD8 (green), DAPI (blue). (B) Kaplan–Meier curves of OS in DLBCL patients with CD69 + /CD8 + and CD69 + /CD8 + . Cases were classified as CD69 + /CD8 + when ≥10% of infiltrating CD8 + T cells expressed CD69. (C) Expression of CD70 on infiltrating CD8 + T cells in DLBCL (400X). CD70 (green), CD8 (red), DAPI (blue). (D) Kaplan–Meier curves of OS in DLBCL patients with CD70 + /CD8 + and CD70 + /CD8 + . Cases were classified as CD70 + /CD8 + when ≥10% of infiltrating CD8 + T cells expressed CD70. (E) The Kaplan-Meier OS curve of the validation cohort (this work. (n=66)) patients between low risk group (n=34) and high risk group (n=32). This work samples were stratified by risk score. (F) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in this work. (G) The Kaplan-Meier OS curve of the validation cohort ( GSE181063 (n=773)) patients between low risk group (n=387) and high risk group (n=386). GSE181063 samples were stratified by risk score. (H) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in GSE181063 . (I) The Kaplan-Meier OS curve of the validation cohort ( GSE117556 (n=469)) patients between low risk group (n=235) and high risk group (n=234). GSE117556 samples were stratified by risk score. (J) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in GSE117556 . Log-rank tests were used to derive p-values for comparisons between two groups.

Journal: Frontiers in Immunology

Article Title: Single-cell and bulk transcriptomics reveal a CD8 + T-cell gene signature predicting prognosis in diffuse large B-cell lymphoma

doi: 10.3389/fimmu.2025.1685541

Figure Lengend Snippet: Validation cohort for predicting the risk signature of DLBCL survival based on the discovery cohort. (A) Expression of CD69 on infiltrating CD8 + T cells in DLBCL (400X). CD69 (red), CD8 (green), DAPI (blue). (B) Kaplan–Meier curves of OS in DLBCL patients with CD69 + /CD8 + and CD69 + /CD8 + . Cases were classified as CD69 + /CD8 + when ≥10% of infiltrating CD8 + T cells expressed CD69. (C) Expression of CD70 on infiltrating CD8 + T cells in DLBCL (400X). CD70 (green), CD8 (red), DAPI (blue). (D) Kaplan–Meier curves of OS in DLBCL patients with CD70 + /CD8 + and CD70 + /CD8 + . Cases were classified as CD70 + /CD8 + when ≥10% of infiltrating CD8 + T cells expressed CD70. (E) The Kaplan-Meier OS curve of the validation cohort (this work. (n=66)) patients between low risk group (n=34) and high risk group (n=32). This work samples were stratified by risk score. (F) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in this work. (G) The Kaplan-Meier OS curve of the validation cohort ( GSE181063 (n=773)) patients between low risk group (n=387) and high risk group (n=386). GSE181063 samples were stratified by risk score. (H) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in GSE181063 . (I) The Kaplan-Meier OS curve of the validation cohort ( GSE117556 (n=469)) patients between low risk group (n=235) and high risk group (n=234). GSE117556 samples were stratified by risk score. (J) Univariate Cox regression analysis of Risk Score: high risk, IPI: low-mid, IPI: mid-high and IPI: high in GSE117556 . Log-rank tests were used to derive p-values for comparisons between two groups.

Article Snippet: The primary antibodies are as follows: CD69 Polyclonal antibody (Proteintech, 10803-1-AP), CD70 Monoclonal antibody (Proteintech, 67749-1-Ig), CD8a Monoclonal antibody (Proteintech, 66868-1-Ig), Anti-CD8 alpha antibody (Abcam, ab93278).

Techniques: Biomarker Discovery, Expressing