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monoclonal antibody against cd8a  (Bio X Cell)


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    Structured Review

    Bio X Cell monoclonal antibody against cd8a
    Monoclonal Antibody Against Cd8a, supplied by Bio X Cell, used in various techniques. Bioz Stars score: 97/100, based on 1098 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/monoclonal antibody against cd8a/product/Bio X Cell
    Average 97 stars, based on 1098 article reviews
    monoclonal antibody against cd8a - by Bioz Stars, 2026-05
    97/100 stars

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    ( A and B ) Ratio of <t>CD8/CD4</t> T cell frequencies and frequency of naive (CD45RA + CD62L + ) CD8 + T cells in blood over time. ( C ) Numbers of naive, central memory (TCM; CD45RA – CD62L + ), effector memory (TEM; CD45RA – CD62L – ), and TEMRA (CD45RA + CD62L – ) CD8 + T cells in blood over time ( n = 2–9 animals per group depicted as mean values with 95% CI). ( D ) Representative flow cytometry plots and gating for CD45RA and CD62L of CD8 + T cells and (top row) and (bottom row) for CD69 and CD103 of CD8 + TEM T cells in blood and NALT at sacrifice. ( E ) Heatmap of frequencies of CD8 + TEM (left) and TRM (right) (CD69 + TEM) T cells in indicated tissues at sacrifice ( n = 4–34 animals per group from a minimum of 2 independent experiments; quantification in , A and B). ( F ) Quantification of absolute cell numbers of CD69 + TEM (left) and CD69 + CD103 + TEM (right) in the NALT in PBS versus i.n. infected mice. ( G ) Representative histogram of geometric mean fluorescence intensity (MFI) of i.v. injected anti-CD45 in blood and NALT (left) and quantification (right) ( n = 14–28 animals per group from a minimum of 2 independent experiments). ** P ≤ 0.01, *** P ≤ 0.001, **** P ≤ 0.0001, by Kruskal-Wallis test for 3 groups ( A and B ) or Mann Whitney U test for comparison of 2 groups ( F and G ), or using paired Wilcoxon signed-rank test comparing T cell subsets between weeks 4 and 5 ( C ).
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    Image Search Results


    ( A and B ) Ratio of CD8/CD4 T cell frequencies and frequency of naive (CD45RA + CD62L + ) CD8 + T cells in blood over time. ( C ) Numbers of naive, central memory (TCM; CD45RA – CD62L + ), effector memory (TEM; CD45RA – CD62L – ), and TEMRA (CD45RA + CD62L – ) CD8 + T cells in blood over time ( n = 2–9 animals per group depicted as mean values with 95% CI). ( D ) Representative flow cytometry plots and gating for CD45RA and CD62L of CD8 + T cells and (top row) and (bottom row) for CD69 and CD103 of CD8 + TEM T cells in blood and NALT at sacrifice. ( E ) Heatmap of frequencies of CD8 + TEM (left) and TRM (right) (CD69 + TEM) T cells in indicated tissues at sacrifice ( n = 4–34 animals per group from a minimum of 2 independent experiments; quantification in , A and B). ( F ) Quantification of absolute cell numbers of CD69 + TEM (left) and CD69 + CD103 + TEM (right) in the NALT in PBS versus i.n. infected mice. ( G ) Representative histogram of geometric mean fluorescence intensity (MFI) of i.v. injected anti-CD45 in blood and NALT (left) and quantification (right) ( n = 14–28 animals per group from a minimum of 2 independent experiments). ** P ≤ 0.01, *** P ≤ 0.001, **** P ≤ 0.0001, by Kruskal-Wallis test for 3 groups ( A and B ) or Mann Whitney U test for comparison of 2 groups ( F and G ), or using paired Wilcoxon signed-rank test comparing T cell subsets between weeks 4 and 5 ( C ).

    Journal: JCI Insight

    Article Title: Epstein-Barr virus infection induces tissue-resident memory T cells in mucosal lymphoid tissues

    doi: 10.1172/jci.insight.173489

    Figure Lengend Snippet: ( A and B ) Ratio of CD8/CD4 T cell frequencies and frequency of naive (CD45RA + CD62L + ) CD8 + T cells in blood over time. ( C ) Numbers of naive, central memory (TCM; CD45RA – CD62L + ), effector memory (TEM; CD45RA – CD62L – ), and TEMRA (CD45RA + CD62L – ) CD8 + T cells in blood over time ( n = 2–9 animals per group depicted as mean values with 95% CI). ( D ) Representative flow cytometry plots and gating for CD45RA and CD62L of CD8 + T cells and (top row) and (bottom row) for CD69 and CD103 of CD8 + TEM T cells in blood and NALT at sacrifice. ( E ) Heatmap of frequencies of CD8 + TEM (left) and TRM (right) (CD69 + TEM) T cells in indicated tissues at sacrifice ( n = 4–34 animals per group from a minimum of 2 independent experiments; quantification in , A and B). ( F ) Quantification of absolute cell numbers of CD69 + TEM (left) and CD69 + CD103 + TEM (right) in the NALT in PBS versus i.n. infected mice. ( G ) Representative histogram of geometric mean fluorescence intensity (MFI) of i.v. injected anti-CD45 in blood and NALT (left) and quantification (right) ( n = 14–28 animals per group from a minimum of 2 independent experiments). ** P ≤ 0.01, *** P ≤ 0.001, **** P ≤ 0.0001, by Kruskal-Wallis test for 3 groups ( A and B ) or Mann Whitney U test for comparison of 2 groups ( F and G ), or using paired Wilcoxon signed-rank test comparing T cell subsets between weeks 4 and 5 ( C ).

    Article Snippet: CD8 + T cells were depleted weekly, via i.p. injection beginning at week 3 after infection, with the monoclonal antibody against human CD8 (clone OKT-8; BioXCell).

    Techniques: Flow Cytometry, Infection, Fluorescence, Injection, MANN-WHITNEY, Comparison

    ( A ) UMAP plot of single CD8 + TEM transcriptomes sorted from indicated tissues. ( B ) Heatmap showing log 2 (fold change) of the top 50 highest and lowest differentially expressed genes of NALT single-cell transcriptomes (rows). ( C ) Integrated UMAP plots of cells showing relative expression of indicated marker expression (first and third columns; yellow-green, high expression; violet, low expression) and (second and fourth columns) violin plot depicting single-cell expression of markers in indicated tissues as normalized residual values.

    Journal: JCI Insight

    Article Title: Epstein-Barr virus infection induces tissue-resident memory T cells in mucosal lymphoid tissues

    doi: 10.1172/jci.insight.173489

    Figure Lengend Snippet: ( A ) UMAP plot of single CD8 + TEM transcriptomes sorted from indicated tissues. ( B ) Heatmap showing log 2 (fold change) of the top 50 highest and lowest differentially expressed genes of NALT single-cell transcriptomes (rows). ( C ) Integrated UMAP plots of cells showing relative expression of indicated marker expression (first and third columns; yellow-green, high expression; violet, low expression) and (second and fourth columns) violin plot depicting single-cell expression of markers in indicated tissues as normalized residual values.

    Article Snippet: CD8 + T cells were depleted weekly, via i.p. injection beginning at week 3 after infection, with the monoclonal antibody against human CD8 (clone OKT-8; BioXCell).

    Techniques: Expressing, Marker

    ( A ) Integrated UMAP plot depicting unsupervised clustering of single CD8 + TEM transcriptomes sorted from blood, LN, NALT, and spleen. ( B ) Cellular trajectories in pseudo time (blue to yellow, earlier to later pseudo time point) of single CD8 + TEM transcriptomes sorted from blood, LN, NALT, and spleen. ( C ) Representative flow cytometry plots of example TCR-Vβ17 and TCR-Vβ2 staining in 2 EBV-infected animals. ( D ) Frequencies of indicated TCR-VB clones among splenic CD8 + TEMs following intranasal EBV infection. ( E ) Frequencies of the top 6 TCR-VB clones in NALT CD8 + TEMs in the same animals. ( F ) Representative flow cytometry plots of example TCR-Vβ17 and TCR-Vβ2 staining in 2 PBS control animals (left) frequencies of the top 6 TCR-VB clones in spleen CD8 + TEMs of PBS control animals (center) and frequencies of the top 6 TCR-VB clones in NALT CD8 + TEMs of PBS control animals (right).

    Journal: JCI Insight

    Article Title: Epstein-Barr virus infection induces tissue-resident memory T cells in mucosal lymphoid tissues

    doi: 10.1172/jci.insight.173489

    Figure Lengend Snippet: ( A ) Integrated UMAP plot depicting unsupervised clustering of single CD8 + TEM transcriptomes sorted from blood, LN, NALT, and spleen. ( B ) Cellular trajectories in pseudo time (blue to yellow, earlier to later pseudo time point) of single CD8 + TEM transcriptomes sorted from blood, LN, NALT, and spleen. ( C ) Representative flow cytometry plots of example TCR-Vβ17 and TCR-Vβ2 staining in 2 EBV-infected animals. ( D ) Frequencies of indicated TCR-VB clones among splenic CD8 + TEMs following intranasal EBV infection. ( E ) Frequencies of the top 6 TCR-VB clones in NALT CD8 + TEMs in the same animals. ( F ) Representative flow cytometry plots of example TCR-Vβ17 and TCR-Vβ2 staining in 2 PBS control animals (left) frequencies of the top 6 TCR-VB clones in spleen CD8 + TEMs of PBS control animals (center) and frequencies of the top 6 TCR-VB clones in NALT CD8 + TEMs of PBS control animals (right).

    Article Snippet: CD8 + T cells were depleted weekly, via i.p. injection beginning at week 3 after infection, with the monoclonal antibody against human CD8 (clone OKT-8; BioXCell).

    Techniques: Flow Cytometry, Staining, Infection, Clone Assay, Control

    ( A ) Representative flow cytometry gating for CD8 + TEM and CD69 + and CD69 + CD103 + CD8 + TEM in human tonsils. ( B ) Quantification of CD8 + TEM and CD69 + and CD69 + CD103 + CD8 + TEM in human PBMCs and tonsils. ( C ) Representative histogram of geometric mean fluorescence intensity (MFI) and quantification of CD11a expression by TEM from spleen (blue) and NALT (orange) of EBV-infected animals (left 2 panels) and (right 2 panels) in TEM from human PBMCs (blue) and tonsils from EBV + donors (red). ( D ) MFI and quantification of PD1 expression by TEM in spleen (blue) and NALT (orange) of EBV-infected animals (left 2 panels) and (right 2 panels) in TEM from human PBMCs (blue) and tonsils from EBV + donors (red). ( E ) MFI and quantification of CD27 expression by TEM in spleen (blue) and NALT (orange) of EBV-infected animals (left 2 panels) and (right 2 panels) in TEM from human PBMCs (blue) and tonsils from EBV-positive donors (red). For animal data, n = 14–30 animals per group from at least 6 independent experiments; for human data, n = 3–5 individuals per tissue from 2 independent experiments, except CD11a data, which is derived from a single experiment. * P ≤ 0.05, ** P ≤ 0.01, by Wilcoxon matched-pairs signed-rank test for animal data (second column, C , D , and E ) and Mann-Whitney U test for human data ( B and fourth column C , D , and E ).

    Journal: JCI Insight

    Article Title: Epstein-Barr virus infection induces tissue-resident memory T cells in mucosal lymphoid tissues

    doi: 10.1172/jci.insight.173489

    Figure Lengend Snippet: ( A ) Representative flow cytometry gating for CD8 + TEM and CD69 + and CD69 + CD103 + CD8 + TEM in human tonsils. ( B ) Quantification of CD8 + TEM and CD69 + and CD69 + CD103 + CD8 + TEM in human PBMCs and tonsils. ( C ) Representative histogram of geometric mean fluorescence intensity (MFI) and quantification of CD11a expression by TEM from spleen (blue) and NALT (orange) of EBV-infected animals (left 2 panels) and (right 2 panels) in TEM from human PBMCs (blue) and tonsils from EBV + donors (red). ( D ) MFI and quantification of PD1 expression by TEM in spleen (blue) and NALT (orange) of EBV-infected animals (left 2 panels) and (right 2 panels) in TEM from human PBMCs (blue) and tonsils from EBV + donors (red). ( E ) MFI and quantification of CD27 expression by TEM in spleen (blue) and NALT (orange) of EBV-infected animals (left 2 panels) and (right 2 panels) in TEM from human PBMCs (blue) and tonsils from EBV-positive donors (red). For animal data, n = 14–30 animals per group from at least 6 independent experiments; for human data, n = 3–5 individuals per tissue from 2 independent experiments, except CD11a data, which is derived from a single experiment. * P ≤ 0.05, ** P ≤ 0.01, by Wilcoxon matched-pairs signed-rank test for animal data (second column, C , D , and E ) and Mann-Whitney U test for human data ( B and fourth column C , D , and E ).

    Article Snippet: CD8 + T cells were depleted weekly, via i.p. injection beginning at week 3 after infection, with the monoclonal antibody against human CD8 (clone OKT-8; BioXCell).

    Techniques: Flow Cytometry, Fluorescence, Expressing, Infection, Derivative Assay, MANN-WHITNEY

    ( A ) Representative flow cytometry plots showing IFN-γ and TNF-α expression by CD8 + TEMs derived from PBS control or EBV-infected NALT after PMA/ionomycin stimulation (left panels), as well as the distribution (center panels) and quantification (right panels) of each population. ( B ) As for A but depicting CD107a and granzyme B (GzmB) expression. ( C ) Representative flow cytometry plots showing IFN-γ and TNF-α expression byCD69 – or CD69 + CD8 + TEMs derived from tonsils of EBV carriers after PMA/ionomycin stimulation (left panels), as well as the distribution (center panels) and quantification (right panels) of each population. ( D ) As for C , but depicting CD107a and GzmB expression. Corresponding unstimulated data for all samples can be found in . For animal data, n = 12–14 animals per group from 2 independent experiments; for human data, n = 3–5 individuals per tissue from 2 independent experiments. * P ≤ 0.05, *** P ≤ 0.001, by Wilcoxon matched-pairs signed-rank test for animal data ( A and B ) and Mann-Whitney U test for human data ( C and D ).

    Journal: JCI Insight

    Article Title: Epstein-Barr virus infection induces tissue-resident memory T cells in mucosal lymphoid tissues

    doi: 10.1172/jci.insight.173489

    Figure Lengend Snippet: ( A ) Representative flow cytometry plots showing IFN-γ and TNF-α expression by CD8 + TEMs derived from PBS control or EBV-infected NALT after PMA/ionomycin stimulation (left panels), as well as the distribution (center panels) and quantification (right panels) of each population. ( B ) As for A but depicting CD107a and granzyme B (GzmB) expression. ( C ) Representative flow cytometry plots showing IFN-γ and TNF-α expression byCD69 – or CD69 + CD8 + TEMs derived from tonsils of EBV carriers after PMA/ionomycin stimulation (left panels), as well as the distribution (center panels) and quantification (right panels) of each population. ( D ) As for C , but depicting CD107a and GzmB expression. Corresponding unstimulated data for all samples can be found in . For animal data, n = 12–14 animals per group from 2 independent experiments; for human data, n = 3–5 individuals per tissue from 2 independent experiments. * P ≤ 0.05, *** P ≤ 0.001, by Wilcoxon matched-pairs signed-rank test for animal data ( A and B ) and Mann-Whitney U test for human data ( C and D ).

    Article Snippet: CD8 + T cells were depleted weekly, via i.p. injection beginning at week 3 after infection, with the monoclonal antibody against human CD8 (clone OKT-8; BioXCell).

    Techniques: Flow Cytometry, Expressing, Derivative Assay, Control, Infection, MANN-WHITNEY

    ( A ) CD8 + T cell depletion efficiency in NALT, spleen, and blood of control (blue) and OKT8-treated (orange) animals given as percentage of CD4 – CD3 + T cells ( n = 8–11 animals per group from 2 independent experiments). ( B and C ) EBV viral loads in IU/mg NALT, IU/1 × 10 6 splenocytes, or IU/mL blood and normalized to the mean of the corresponding nondepleted group. ( D ) CD103 depletion efficiency in NALT, spleen, and blood of control (blue) and Ber-OCT3–treated (orange) animals given as percentage of CD8 + T cells ( n = 10–11 animals per group from 2 independent experiments). ( E and F ) EBV viral loads in IU/mg NALT, IU/1x × 10 6 splenocytes, or IU/mL blood and normalized to the mean of the corresponding nondepleted group. ( G ) Representative histogram of Ki-67 expression on CD8 + TEM in spleen and NALT (left) and quantification (right). ( H ) Representative histogram of Ki-67 expression on CD19 + cells in spleen and NALT (left) and quantification (right) ( n = 13 animals per group from 2 independent experiments). * P ≤ 0.05, *** P ≤ 0.001, **** P ≤ 0.0001. ( A – F ) Mann Whitney U test. ( G and H ) Wilcoxon matched-pairs signed rank test; dotted line indicates limit of detection.

    Journal: JCI Insight

    Article Title: Epstein-Barr virus infection induces tissue-resident memory T cells in mucosal lymphoid tissues

    doi: 10.1172/jci.insight.173489

    Figure Lengend Snippet: ( A ) CD8 + T cell depletion efficiency in NALT, spleen, and blood of control (blue) and OKT8-treated (orange) animals given as percentage of CD4 – CD3 + T cells ( n = 8–11 animals per group from 2 independent experiments). ( B and C ) EBV viral loads in IU/mg NALT, IU/1 × 10 6 splenocytes, or IU/mL blood and normalized to the mean of the corresponding nondepleted group. ( D ) CD103 depletion efficiency in NALT, spleen, and blood of control (blue) and Ber-OCT3–treated (orange) animals given as percentage of CD8 + T cells ( n = 10–11 animals per group from 2 independent experiments). ( E and F ) EBV viral loads in IU/mg NALT, IU/1x × 10 6 splenocytes, or IU/mL blood and normalized to the mean of the corresponding nondepleted group. ( G ) Representative histogram of Ki-67 expression on CD8 + TEM in spleen and NALT (left) and quantification (right). ( H ) Representative histogram of Ki-67 expression on CD19 + cells in spleen and NALT (left) and quantification (right) ( n = 13 animals per group from 2 independent experiments). * P ≤ 0.05, *** P ≤ 0.001, **** P ≤ 0.0001. ( A – F ) Mann Whitney U test. ( G and H ) Wilcoxon matched-pairs signed rank test; dotted line indicates limit of detection.

    Article Snippet: CD8 + T cells were depleted weekly, via i.p. injection beginning at week 3 after infection, with the monoclonal antibody against human CD8 (clone OKT-8; BioXCell).

    Techniques: Control, Expressing, MANN-WHITNEY

    Identification of hub gene of T cytotoxic pathway in BCa. ( A ) Locations of T cytotoxic pathway-related genes on 23 chromosomes. ( B ) Interaction of T cytotoxic pathway-related genes. ( C ) Correlation analysis among T cytotoxic pathway-related genes. ( D ) Correlation analysis between T cytotoxic pathway-related genes and TIICs. ( E ) The association of the CD8+ T cells with T cytotoxic pathway-related genes. ( F , G ) Univariate Cox analyses of the T cytotoxic pathway-related genes in BCa. BCa, bladder cancer; TIICs, tumor-infiltrating immune cells; OS, overall survival; DFS, disease-free survival. **: p < 0.01, ***: p < 0.001.

    Journal: Cancers

    Article Title: CD8A as a Prognostic and Immunotherapy Predictive Biomarker Can Be Evaluated by MRI Radiomics Features in Bladder Cancer

    doi: 10.3390/cancers14194866

    Figure Lengend Snippet: Identification of hub gene of T cytotoxic pathway in BCa. ( A ) Locations of T cytotoxic pathway-related genes on 23 chromosomes. ( B ) Interaction of T cytotoxic pathway-related genes. ( C ) Correlation analysis among T cytotoxic pathway-related genes. ( D ) Correlation analysis between T cytotoxic pathway-related genes and TIICs. ( E ) The association of the CD8+ T cells with T cytotoxic pathway-related genes. ( F , G ) Univariate Cox analyses of the T cytotoxic pathway-related genes in BCa. BCa, bladder cancer; TIICs, tumor-infiltrating immune cells; OS, overall survival; DFS, disease-free survival. **: p < 0.01, ***: p < 0.001.

    Article Snippet: Rabbit anti-human monoclonal primary antibodies against CD8A (CST, cat# 85336) were utilized to detect CD8A expression according to the manufacturer’s protocol.

    Techniques:

    Investigating the clinical predictive value of CD8A in prognosis and immunotherapeutic response. ( A – E ) Kaplan–Meier plots of CD8A in five datasets, including TCGA ( A ), GSE48277 ( B ), GSE48075 ( C ), GSE93157 ( D ) and IMvigor210 ( E ). ( F ) Percentages of the different PD-L1 inhibitor responses between high or low CD8A expression groups in IMvigor210. ( G ) Forest plot of the HRs for patients with high CD8A expression compared to patients with low CD8A expression in seven BCa datasets. ( H ) Univariate and multivariate Cox analyses in TCGA-BCa. OS, overall survival; PFS, progression-free survival; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease; HR: hazard ratio; TCGA: The Cancer Genome Atlas; BCa, bladder cancer.

    Journal: Cancers

    Article Title: CD8A as a Prognostic and Immunotherapy Predictive Biomarker Can Be Evaluated by MRI Radiomics Features in Bladder Cancer

    doi: 10.3390/cancers14194866

    Figure Lengend Snippet: Investigating the clinical predictive value of CD8A in prognosis and immunotherapeutic response. ( A – E ) Kaplan–Meier plots of CD8A in five datasets, including TCGA ( A ), GSE48277 ( B ), GSE48075 ( C ), GSE93157 ( D ) and IMvigor210 ( E ). ( F ) Percentages of the different PD-L1 inhibitor responses between high or low CD8A expression groups in IMvigor210. ( G ) Forest plot of the HRs for patients with high CD8A expression compared to patients with low CD8A expression in seven BCa datasets. ( H ) Univariate and multivariate Cox analyses in TCGA-BCa. OS, overall survival; PFS, progression-free survival; CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease; HR: hazard ratio; TCGA: The Cancer Genome Atlas; BCa, bladder cancer.

    Article Snippet: Rabbit anti-human monoclonal primary antibodies against CD8A (CST, cat# 85336) were utilized to detect CD8A expression according to the manufacturer’s protocol.

    Techniques: Expressing

    The construction and performance of the CD8A-based nomogram in TCGA. ( A ) CD8A-based nomogram for predicting the probability of 1-, 3- and 5-year OS. ( B ) ROC curves to predict the 1-, 3- and 5-year OS according to the CD8A-based nomogram. ( C – E ) Calibration plots of the CD8A-based nomogram for predicting the probability of 1-, 3- and 5-year OS. ( F – H ) DCA of the CD8A-based nomogram predicting 1-, 3- and 5-year OS. TCGA, The Cancer Genome Atlas; OS, overall survival; BCa, bladder cancer; ROC, receiver operating characteristic curve; DCA, decision curve analysis.

    Journal: Cancers

    Article Title: CD8A as a Prognostic and Immunotherapy Predictive Biomarker Can Be Evaluated by MRI Radiomics Features in Bladder Cancer

    doi: 10.3390/cancers14194866

    Figure Lengend Snippet: The construction and performance of the CD8A-based nomogram in TCGA. ( A ) CD8A-based nomogram for predicting the probability of 1-, 3- and 5-year OS. ( B ) ROC curves to predict the 1-, 3- and 5-year OS according to the CD8A-based nomogram. ( C – E ) Calibration plots of the CD8A-based nomogram for predicting the probability of 1-, 3- and 5-year OS. ( F – H ) DCA of the CD8A-based nomogram predicting 1-, 3- and 5-year OS. TCGA, The Cancer Genome Atlas; OS, overall survival; BCa, bladder cancer; ROC, receiver operating characteristic curve; DCA, decision curve analysis.

    Article Snippet: Rabbit anti-human monoclonal primary antibodies against CD8A (CST, cat# 85336) were utilized to detect CD8A expression according to the manufacturer’s protocol.

    Techniques:

    Biological analysis of CD8A. ( A ) Gene set enrichment analysis for comparing biological pathways between high and low CD8A expression groups. ( B ) Gene set variation analysis analyzed the different biological pathways between high and low CD8A expression groups. ( C ) The different levels of TME scores between low and high CD8A expression groups. ( D ) The association of CD8A with TIICs and critical immune checkpoint genes. ( E ) Patient 1: an 88-year-old man with MIBC and IHC-based CD8A high expression. ( F ) Patient 2: a 65-year-old man with MIBC and IHC-based CD8A low expression. TME, tumor microenvironment; TIICs, tumor-infiltrating immune cells; IHC, immunohistochemistry; MIBC, muscle-invasive bladder carcinoma. *: p < 0.05, ***: p < 0.001.

    Journal: Cancers

    Article Title: CD8A as a Prognostic and Immunotherapy Predictive Biomarker Can Be Evaluated by MRI Radiomics Features in Bladder Cancer

    doi: 10.3390/cancers14194866

    Figure Lengend Snippet: Biological analysis of CD8A. ( A ) Gene set enrichment analysis for comparing biological pathways between high and low CD8A expression groups. ( B ) Gene set variation analysis analyzed the different biological pathways between high and low CD8A expression groups. ( C ) The different levels of TME scores between low and high CD8A expression groups. ( D ) The association of CD8A with TIICs and critical immune checkpoint genes. ( E ) Patient 1: an 88-year-old man with MIBC and IHC-based CD8A high expression. ( F ) Patient 2: a 65-year-old man with MIBC and IHC-based CD8A low expression. TME, tumor microenvironment; TIICs, tumor-infiltrating immune cells; IHC, immunohistochemistry; MIBC, muscle-invasive bladder carcinoma. *: p < 0.05, ***: p < 0.001.

    Article Snippet: Rabbit anti-human monoclonal primary antibodies against CD8A (CST, cat# 85336) were utilized to detect CD8A expression according to the manufacturer’s protocol.

    Techniques: Expressing, Immunohistochemistry

    The landscape of 22 TIICs in TCGA-BCa. ( A ) The proportions of 22 TIICs in each sample quantified by CIBERSORT algorithm. ( B ) The difference of the proportions of 22 TIICs between high and low CD8A expression groups. TCGA, The Cancer Genome Atlas; BCa, bladder cancer; TIICs, tumor-infiltrating immune cells; CIBERSORT, cell type identification by estimating relative subsets of RNA transcripts.

    Journal: Cancers

    Article Title: CD8A as a Prognostic and Immunotherapy Predictive Biomarker Can Be Evaluated by MRI Radiomics Features in Bladder Cancer

    doi: 10.3390/cancers14194866

    Figure Lengend Snippet: The landscape of 22 TIICs in TCGA-BCa. ( A ) The proportions of 22 TIICs in each sample quantified by CIBERSORT algorithm. ( B ) The difference of the proportions of 22 TIICs between high and low CD8A expression groups. TCGA, The Cancer Genome Atlas; BCa, bladder cancer; TIICs, tumor-infiltrating immune cells; CIBERSORT, cell type identification by estimating relative subsets of RNA transcripts.

    Article Snippet: Rabbit anti-human monoclonal primary antibodies against CD8A (CST, cat# 85336) were utilized to detect CD8A expression according to the manufacturer’s protocol.

    Techniques: Expressing

    Construction and performance of the LASSO model (radiomics signature) in our center. ( A ) Optimal radiomics features selection based on the binominal deviance. ( B ) Distribution of LASSO coefficients for nine selected radiomics features. ( C ) AUCs of the LASSO model in the training and validation sets. ( D ) The comprehensive performance of the LASSO model in the training and validation sets. ( E ) Waterfall plot of the CD8A expression levels and radiomics scores in the combined training and validation sets. LASSO, least absolute shrinkage and selection operator; NPV, negative predictive value; PPV, positive predict value; AUCs, area under the ROC curves.

    Journal: Cancers

    Article Title: CD8A as a Prognostic and Immunotherapy Predictive Biomarker Can Be Evaluated by MRI Radiomics Features in Bladder Cancer

    doi: 10.3390/cancers14194866

    Figure Lengend Snippet: Construction and performance of the LASSO model (radiomics signature) in our center. ( A ) Optimal radiomics features selection based on the binominal deviance. ( B ) Distribution of LASSO coefficients for nine selected radiomics features. ( C ) AUCs of the LASSO model in the training and validation sets. ( D ) The comprehensive performance of the LASSO model in the training and validation sets. ( E ) Waterfall plot of the CD8A expression levels and radiomics scores in the combined training and validation sets. LASSO, least absolute shrinkage and selection operator; NPV, negative predictive value; PPV, positive predict value; AUCs, area under the ROC curves.

    Article Snippet: Rabbit anti-human monoclonal primary antibodies against CD8A (CST, cat# 85336) were utilized to detect CD8A expression according to the manufacturer’s protocol.

    Techniques: Selection, Biomarker Discovery, Expressing

    Biological analysis of the radiomics signature (LASSO model). ( A , B ) Gene set enrichment analysis ( A ) and gene set variation analysis ( B ) for comparing biological pathways between radiomics-predicted high and low CD8A expression groups. ( C – E ) The association of radiomics score with CD8A expression, CD8A ( C ) and degree of infiltration of CD8+ T cells ( D ) and Macrophages M1 ( E ). ( F ) The difference of the proportions of 22 TIICs between radiomics-predicted high and low CD8A expression groups. LASSO, least absolute shrinkage and selection operator; TIICs, tumor-infiltrating immune cells.

    Journal: Cancers

    Article Title: CD8A as a Prognostic and Immunotherapy Predictive Biomarker Can Be Evaluated by MRI Radiomics Features in Bladder Cancer

    doi: 10.3390/cancers14194866

    Figure Lengend Snippet: Biological analysis of the radiomics signature (LASSO model). ( A , B ) Gene set enrichment analysis ( A ) and gene set variation analysis ( B ) for comparing biological pathways between radiomics-predicted high and low CD8A expression groups. ( C – E ) The association of radiomics score with CD8A expression, CD8A ( C ) and degree of infiltration of CD8+ T cells ( D ) and Macrophages M1 ( E ). ( F ) The difference of the proportions of 22 TIICs between radiomics-predicted high and low CD8A expression groups. LASSO, least absolute shrinkage and selection operator; TIICs, tumor-infiltrating immune cells.

    Article Snippet: Rabbit anti-human monoclonal primary antibodies against CD8A (CST, cat# 85336) were utilized to detect CD8A expression according to the manufacturer’s protocol.

    Techniques: Expressing, Selection

    Fig. 2. Intra-case correlation between fibroblast markers and between fibro blast markers and stromal CD8 density in NSCLC patients. Figure shows results from Spearman two-tailed test and ** indicates p < 0.01.

    Journal: Lung cancer (Amsterdam, Netherlands)

    Article Title: Stromal FAP is an independent poor prognosis marker in non-small cell lung adenocarcinoma and associated with p53 mutation.

    doi: 10.1016/j.lungcan.2021.02.028

    Figure Lengend Snippet: Fig. 2. Intra-case correlation between fibroblast markers and between fibro blast markers and stromal CD8 density in NSCLC patients. Figure shows results from Spearman two-tailed test and ** indicates p < 0.01.

    Article Snippet: IHC detection of CD8 was performed manually using the mouse monoclonal antibody against human CD8A (1:250 dilution; Atlas Antibodies AMAb90883) and counterstaining with hematoxylin.

    Techniques: Two Tailed Test