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anti human cd8ɑ pe cy7  (Cytek Biosciences)


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    Cytek Biosciences anti human cd8ɑ pe cy7
    (A) Heatmap showing MetaNeighbor’s AUROC scores between thymocytes split by donor, lineage, and non-effector (c0–11) versus effector (c12–17) clusters. Barplots indicate thymocyte proportions per lineage. (B) Pseudo-bulk differential expression analysis between CD4 + /iNKT and <t>CD8</t> + /MAIT thymocytes in naive clusters (3, 9, 10, 11). As a negative control, the only three genes that were differentially expressed between CD4 + /MAIT and CD8 + /iNKT thymocytes are displayed in the center of the heatmap. (C) Pseudo-bulk differential expression analysis between CD4 + /CD8 + and iNKT/MAIT thymocytes in naive clusters (3, 9, 10, 11). For both (B) and (C), heatmap displays the expression level of genes (represented with color scale as a Z score of the average normalized expression) that are significantly differentially expressed ( p adj < 0.01). (D) Clustering of hashtag-separated thymic iNKT cells (top), MAIT cells (middle), and γδ T cells (bottom). Right panel shows the score of type I and type III effector gene signature for the corresponding thymic lineage. (E) Kernel density estimates of the normalized expression level of genes of interest. The expression level distribution varies between genes and lineage. The range of kernel density estimate values also varies between each panel (from 0 to 0.04 for the smallest range and 0 to 0.4 for the largest range). A unique color scale was represented to indicate the direction of the values.
    Anti Human Cd8ɑ Pe Cy7, supplied by Cytek Biosciences, used in various techniques. Bioz Stars score: 91/100, based on 3 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Images

    1) Product Images from "Unraveling the phenotypic states of human innate-like T cells: Comparative insights with conventional T cells and mouse models"

    Article Title: Unraveling the phenotypic states of human innate-like T cells: Comparative insights with conventional T cells and mouse models

    Journal: Cell reports

    doi: 10.1016/j.celrep.2024.114705

    (A) Heatmap showing MetaNeighbor’s AUROC scores between thymocytes split by donor, lineage, and non-effector (c0–11) versus effector (c12–17) clusters. Barplots indicate thymocyte proportions per lineage. (B) Pseudo-bulk differential expression analysis between CD4 + /iNKT and CD8 + /MAIT thymocytes in naive clusters (3, 9, 10, 11). As a negative control, the only three genes that were differentially expressed between CD4 + /MAIT and CD8 + /iNKT thymocytes are displayed in the center of the heatmap. (C) Pseudo-bulk differential expression analysis between CD4 + /CD8 + and iNKT/MAIT thymocytes in naive clusters (3, 9, 10, 11). For both (B) and (C), heatmap displays the expression level of genes (represented with color scale as a Z score of the average normalized expression) that are significantly differentially expressed ( p adj < 0.01). (D) Clustering of hashtag-separated thymic iNKT cells (top), MAIT cells (middle), and γδ T cells (bottom). Right panel shows the score of type I and type III effector gene signature for the corresponding thymic lineage. (E) Kernel density estimates of the normalized expression level of genes of interest. The expression level distribution varies between genes and lineage. The range of kernel density estimate values also varies between each panel (from 0 to 0.04 for the smallest range and 0 to 0.4 for the largest range). A unique color scale was represented to indicate the direction of the values.
    Figure Legend Snippet: (A) Heatmap showing MetaNeighbor’s AUROC scores between thymocytes split by donor, lineage, and non-effector (c0–11) versus effector (c12–17) clusters. Barplots indicate thymocyte proportions per lineage. (B) Pseudo-bulk differential expression analysis between CD4 + /iNKT and CD8 + /MAIT thymocytes in naive clusters (3, 9, 10, 11). As a negative control, the only three genes that were differentially expressed between CD4 + /MAIT and CD8 + /iNKT thymocytes are displayed in the center of the heatmap. (C) Pseudo-bulk differential expression analysis between CD4 + /CD8 + and iNKT/MAIT thymocytes in naive clusters (3, 9, 10, 11). For both (B) and (C), heatmap displays the expression level of genes (represented with color scale as a Z score of the average normalized expression) that are significantly differentially expressed ( p adj < 0.01). (D) Clustering of hashtag-separated thymic iNKT cells (top), MAIT cells (middle), and γδ T cells (bottom). Right panel shows the score of type I and type III effector gene signature for the corresponding thymic lineage. (E) Kernel density estimates of the normalized expression level of genes of interest. The expression level distribution varies between genes and lineage. The range of kernel density estimate values also varies between each panel (from 0 to 0.04 for the smallest range and 0 to 0.4 for the largest range). A unique color scale was represented to indicate the direction of the values.

    Techniques Used: Quantitative Proteomics, Negative Control, Expressing

    (A–C) (A) Clustering of hashtag-separated blood iNKT, MAIT, γδ T, CD4, and CD8 T cells, (B) the respective proportion of cells per cluster and donor, and (C) the effector GEP signature scores (as in ) per cell type and cluster. (D) Top GEP usage for each cell type, based on cNMF-derived usage matrix. (E) Pseudo-bulk, pairwise differential gene expression between cell types. (F) Cell-type-specific genes among T inn cells using GEP5. For both (E) and (F), heatmaps depict the expression level of genes (represented with color scale as a Z score of the average normalized expression) that are significantly differentially expressed ( p adj < 0.01). n = 4, 4, 9, 4, and 9 for iNKT, MAIT, γδ, CD4, and CD8 cells, respectively.
    Figure Legend Snippet: (A–C) (A) Clustering of hashtag-separated blood iNKT, MAIT, γδ T, CD4, and CD8 T cells, (B) the respective proportion of cells per cluster and donor, and (C) the effector GEP signature scores (as in ) per cell type and cluster. (D) Top GEP usage for each cell type, based on cNMF-derived usage matrix. (E) Pseudo-bulk, pairwise differential gene expression between cell types. (F) Cell-type-specific genes among T inn cells using GEP5. For both (E) and (F), heatmaps depict the expression level of genes (represented with color scale as a Z score of the average normalized expression) that are significantly differentially expressed ( p adj < 0.01). n = 4, 4, 9, 4, and 9 for iNKT, MAIT, γδ, CD4, and CD8 cells, respectively.

    Techniques Used: Derivative Assay, Gene Expression, Expressing


    Figure Legend Snippet:

    Techniques Used: Purification, Plasmid Preparation, Blocking Assay, Multiplexing, Recombinant, Antibody Labeling, Staining, Amplification, Software, Flow Cytometry



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    (A) Heatmap showing MetaNeighbor’s AUROC scores between thymocytes split by donor, lineage, and non-effector (c0–11) versus effector (c12–17) clusters. Barplots indicate thymocyte proportions per lineage. (B) Pseudo-bulk differential expression analysis between CD4 + /iNKT and <t>CD8</t> + /MAIT thymocytes in naive clusters (3, 9, 10, 11). As a negative control, the only three genes that were differentially expressed between CD4 + /MAIT and CD8 + /iNKT thymocytes are displayed in the center of the heatmap. (C) Pseudo-bulk differential expression analysis between CD4 + /CD8 + and iNKT/MAIT thymocytes in naive clusters (3, 9, 10, 11). For both (B) and (C), heatmap displays the expression level of genes (represented with color scale as a Z score of the average normalized expression) that are significantly differentially expressed ( p adj < 0.01). (D) Clustering of hashtag-separated thymic iNKT cells (top), MAIT cells (middle), and γδ T cells (bottom). Right panel shows the score of type I and type III effector gene signature for the corresponding thymic lineage. (E) Kernel density estimates of the normalized expression level of genes of interest. The expression level distribution varies between genes and lineage. The range of kernel density estimate values also varies between each panel (from 0 to 0.04 for the smallest range and 0 to 0.4 for the largest range). A unique color scale was represented to indicate the direction of the values.
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    Image Search Results


    A . Schematic of experimental layout. B . CD8+ T cells from 5 donors stimulated 3x with pools of 10 peptides, except pool 9 which had 6 peptides. C . 3D modeling of VP1 pentamer highlighting epitopes (Green: VP1 (100-108), Yellow: VP1 (251-259), (253-262), (274-283), Purple: Published epitopes, Blue: Predicted epitopes from IEDB. D . CD8+ T cells from 3 donors, 10 cell lines each, stimulated 3x with pools of peptides and then individual T2 IFN- γ response.

    Journal: bioRxiv

    Article Title: Antigen-Specific T Cell Receptor Discovery for Treating Progressive Multifocal Leukoencephalopathy

    doi: 10.1101/2024.11.04.621904

    Figure Lengend Snippet: A . Schematic of experimental layout. B . CD8+ T cells from 5 donors stimulated 3x with pools of 10 peptides, except pool 9 which had 6 peptides. C . 3D modeling of VP1 pentamer highlighting epitopes (Green: VP1 (100-108), Yellow: VP1 (251-259), (253-262), (274-283), Purple: Published epitopes, Blue: Predicted epitopes from IEDB. D . CD8+ T cells from 3 donors, 10 cell lines each, stimulated 3x with pools of peptides and then individual T2 IFN- γ response.

    Article Snippet: After incubation, cells were first stained with the LIVE/DEAD fixable aqua dead cell stain kit (Invitrogen L34966), followed by anti-CD8 (PE-Cy7, Invitrogen 25-0087-42) stain.

    Techniques:

    A . Schematic of experimental layout. B . Pooled CD8+ T cell lines from 3 healthy donors were split into three different fractions and stained with low, intermediate, or high tetramer concentration. From samples stained with low and intermediate tetramer concentration, live CD3+ CD8+ T cells were sorted from the 90th percentile tetramer(+) gates. Shown here is the cumulative clone count in the 90th percentile gates (y-axis) plotted against maximum enrichment score out of the 11 calculated for each clone (x-axis). Symbol size corresponds to clone count in tetramer-negative gate. Symbol color indicates clone abundance in the single cell TCR dataset (low tetramer concentration condition). High affinity TCRs have high cumulative clone count, high maximum enrichment score, and small symbol size. SumSort = total number in top 10% tetramer binder gate (i.e. 90th percentile) in the 1:2000 + 1:4000 tetramer staining condition. MaxFold = greatest value for fold enrichment (out of the calculated 11). C . Top 14 T cell receptors were virally transduced into human primary T cells in 2 donors. TCR-transduced cells were stimulated with different amounts of VP1(100-108) peptide and tested for intracellular INF- γ content as ratio of positive control (max). EC50 (M) scores populated in tabular format.

    Journal: bioRxiv

    Article Title: Antigen-Specific T Cell Receptor Discovery for Treating Progressive Multifocal Leukoencephalopathy

    doi: 10.1101/2024.11.04.621904

    Figure Lengend Snippet: A . Schematic of experimental layout. B . Pooled CD8+ T cell lines from 3 healthy donors were split into three different fractions and stained with low, intermediate, or high tetramer concentration. From samples stained with low and intermediate tetramer concentration, live CD3+ CD8+ T cells were sorted from the 90th percentile tetramer(+) gates. Shown here is the cumulative clone count in the 90th percentile gates (y-axis) plotted against maximum enrichment score out of the 11 calculated for each clone (x-axis). Symbol size corresponds to clone count in tetramer-negative gate. Symbol color indicates clone abundance in the single cell TCR dataset (low tetramer concentration condition). High affinity TCRs have high cumulative clone count, high maximum enrichment score, and small symbol size. SumSort = total number in top 10% tetramer binder gate (i.e. 90th percentile) in the 1:2000 + 1:4000 tetramer staining condition. MaxFold = greatest value for fold enrichment (out of the calculated 11). C . Top 14 T cell receptors were virally transduced into human primary T cells in 2 donors. TCR-transduced cells were stimulated with different amounts of VP1(100-108) peptide and tested for intracellular INF- γ content as ratio of positive control (max). EC50 (M) scores populated in tabular format.

    Article Snippet: After incubation, cells were first stained with the LIVE/DEAD fixable aqua dead cell stain kit (Invitrogen L34966), followed by anti-CD8 (PE-Cy7, Invitrogen 25-0087-42) stain.

    Techniques: Staining, Concentration Assay, Positive Control

    A . Schematic of experimental layout. B . TCR 3 and TCR 8 tested against K562 presenting VP1(100-108) on HLA-A2 vs a control TCR (DMF5) with its corresponding peptide (MART1) after 48h incubation at unsorted E:T of 0.5 and 2. Error bars repres nt SEM for 3 technical replicates from one representative experiment. p<0.001 by unpaired T test. C . After 72 hours of co-culture with JCV-infected SVG cells and no T cells (no TCR), sham TCR, TCR 3, and TCR 8 looking at live CD8+ T cell CD137 positivity via flow cytometry. TCR 3 and 8 vs no TCR p value <0.001; TCR 3 vs sham TCR+JCV p=0.0032 and TCR 8 vs sham TCR+JCV p=0.029 D . Percent killing of SVG cells determined by flow cytometry based on gating of loss of live astrocytes. p value <0.001; TCR 3 vs sham TCR+JCV p<0.001 and TCR 8 vs sham TCR+JCV p=0.002 by unpaired T test. Done in duplicate at various unsorted E:Ts, mean results shown.

    Journal: bioRxiv

    Article Title: Antigen-Specific T Cell Receptor Discovery for Treating Progressive Multifocal Leukoencephalopathy

    doi: 10.1101/2024.11.04.621904

    Figure Lengend Snippet: A . Schematic of experimental layout. B . TCR 3 and TCR 8 tested against K562 presenting VP1(100-108) on HLA-A2 vs a control TCR (DMF5) with its corresponding peptide (MART1) after 48h incubation at unsorted E:T of 0.5 and 2. Error bars repres nt SEM for 3 technical replicates from one representative experiment. p<0.001 by unpaired T test. C . After 72 hours of co-culture with JCV-infected SVG cells and no T cells (no TCR), sham TCR, TCR 3, and TCR 8 looking at live CD8+ T cell CD137 positivity via flow cytometry. TCR 3 and 8 vs no TCR p value <0.001; TCR 3 vs sham TCR+JCV p=0.0032 and TCR 8 vs sham TCR+JCV p=0.029 D . Percent killing of SVG cells determined by flow cytometry based on gating of loss of live astrocytes. p value <0.001; TCR 3 vs sham TCR+JCV p<0.001 and TCR 8 vs sham TCR+JCV p=0.002 by unpaired T test. Done in duplicate at various unsorted E:Ts, mean results shown.

    Article Snippet: After incubation, cells were first stained with the LIVE/DEAD fixable aqua dead cell stain kit (Invitrogen L34966), followed by anti-CD8 (PE-Cy7, Invitrogen 25-0087-42) stain.

    Techniques: Control, Incubation, Co-Culture Assay, Infection, Flow Cytometry

    Flow cytometry data of live CD8+ T cells stained with HLA-A2:BK VP1 (100-108) and HLA-A2:JV VP1 (100-108) at 1:50 tetramer dilution with an HLA-A2 positive JCV antibody negative healthy donor on the left and an HLA-A2 confirmed PML survivor on the right.

    Journal: bioRxiv

    Article Title: Antigen-Specific T Cell Receptor Discovery for Treating Progressive Multifocal Leukoencephalopathy

    doi: 10.1101/2024.11.04.621904

    Figure Lengend Snippet: Flow cytometry data of live CD8+ T cells stained with HLA-A2:BK VP1 (100-108) and HLA-A2:JV VP1 (100-108) at 1:50 tetramer dilution with an HLA-A2 positive JCV antibody negative healthy donor on the left and an HLA-A2 confirmed PML survivor on the right.

    Article Snippet: After incubation, cells were first stained with the LIVE/DEAD fixable aqua dead cell stain kit (Invitrogen L34966), followed by anti-CD8 (PE-Cy7, Invitrogen 25-0087-42) stain.

    Techniques: Flow Cytometry, Staining

    A . Schematic of experimental layout. B . CD8+ T cells from 5 donors stimulated 3x with pools of 10 peptides, except pool 9 which had 6 peptides. C . 3D modeling of VP1 pentamer highlighting epitopes (Green: VP1 (100-108), Yellow: VP1 (251-259), (253-262), (274-283), Purple: Published epitopes, Blue: Predicted epitopes from IEDB. D . CD8+ T cells from 3 donors, 10 cell lines each, stimulated 3x with pools of peptides and then individual T2 IFN- γ response.

    Journal: bioRxiv

    Article Title: Antigen-Specific T Cell Receptor Discovery for Treating Progressive Multifocal Leukoencephalopathy

    doi: 10.1101/2024.11.04.621904

    Figure Lengend Snippet: A . Schematic of experimental layout. B . CD8+ T cells from 5 donors stimulated 3x with pools of 10 peptides, except pool 9 which had 6 peptides. C . 3D modeling of VP1 pentamer highlighting epitopes (Green: VP1 (100-108), Yellow: VP1 (251-259), (253-262), (274-283), Purple: Published epitopes, Blue: Predicted epitopes from IEDB. D . CD8+ T cells from 3 donors, 10 cell lines each, stimulated 3x with pools of peptides and then individual T2 IFN- γ response.

    Article Snippet: The patient sample was thawed and stained with live dead aqua (Invitrogen L34966), anti-CD8 (PE-Cy7, Invitrogen 25-0087-42), and JCV VP1(100-108):HLA-A*02:01 (PE) (and the bioequivalent BKV VP1(100-108): HLA-A*02:01 (APC) tetramer as described above, followed by analysis on a Fortessa flow cytometer using FACSDiva software (BD).

    Techniques:

    A . Schematic of experimental layout. B . Pooled CD8+ T cell lines from 3 healthy donors were split into three different fractions and stained with low, intermediate, or high tetramer concentration. From samples stained with low and intermediate tetramer concentration, live CD3+ CD8+ T cells were sorted from the 90th percentile tetramer(+) gates. Shown here is the cumulative clone count in the 90th percentile gates (y-axis) plotted against maximum enrichment score out of the 11 calculated for each clone (x-axis). Symbol size corresponds to clone count in tetramer-negative gate. Symbol color indicates clone abundance in the single cell TCR dataset (low tetramer concentration condition). High affinity TCRs have high cumulative clone count, high maximum enrichment score, and small symbol size. SumSort = total number in top 10% tetramer binder gate (i.e. 90th percentile) in the 1:2000 + 1:4000 tetramer staining condition. MaxFold = greatest value for fold enrichment (out of the calculated 11). C . Top 14 T cell receptors were virally transduced into human primary T cells in 2 donors. TCR-transduced cells were stimulated with different amounts of VP1(100-108) peptide and tested for intracellular INF- γ content as ratio of positive control (max). EC50 (M) scores populated in tabular format.

    Journal: bioRxiv

    Article Title: Antigen-Specific T Cell Receptor Discovery for Treating Progressive Multifocal Leukoencephalopathy

    doi: 10.1101/2024.11.04.621904

    Figure Lengend Snippet: A . Schematic of experimental layout. B . Pooled CD8+ T cell lines from 3 healthy donors were split into three different fractions and stained with low, intermediate, or high tetramer concentration. From samples stained with low and intermediate tetramer concentration, live CD3+ CD8+ T cells were sorted from the 90th percentile tetramer(+) gates. Shown here is the cumulative clone count in the 90th percentile gates (y-axis) plotted against maximum enrichment score out of the 11 calculated for each clone (x-axis). Symbol size corresponds to clone count in tetramer-negative gate. Symbol color indicates clone abundance in the single cell TCR dataset (low tetramer concentration condition). High affinity TCRs have high cumulative clone count, high maximum enrichment score, and small symbol size. SumSort = total number in top 10% tetramer binder gate (i.e. 90th percentile) in the 1:2000 + 1:4000 tetramer staining condition. MaxFold = greatest value for fold enrichment (out of the calculated 11). C . Top 14 T cell receptors were virally transduced into human primary T cells in 2 donors. TCR-transduced cells were stimulated with different amounts of VP1(100-108) peptide and tested for intracellular INF- γ content as ratio of positive control (max). EC50 (M) scores populated in tabular format.

    Article Snippet: The patient sample was thawed and stained with live dead aqua (Invitrogen L34966), anti-CD8 (PE-Cy7, Invitrogen 25-0087-42), and JCV VP1(100-108):HLA-A*02:01 (PE) (and the bioequivalent BKV VP1(100-108): HLA-A*02:01 (APC) tetramer as described above, followed by analysis on a Fortessa flow cytometer using FACSDiva software (BD).

    Techniques: Staining, Concentration Assay, Positive Control

    A . Schematic of experimental layout. B . TCR 3 and TCR 8 tested against K562 presenting VP1(100-108) on HLA-A2 vs a control TCR (DMF5) with its corresponding peptide (MART1) after 48h incubation at unsorted E:T of 0.5 and 2. Error bars repres nt SEM for 3 technical replicates from one representative experiment. p<0.001 by unpaired T test. C . After 72 hours of co-culture with JCV-infected SVG cells and no T cells (no TCR), sham TCR, TCR 3, and TCR 8 looking at live CD8+ T cell CD137 positivity via flow cytometry. TCR 3 and 8 vs no TCR p value <0.001; TCR 3 vs sham TCR+JCV p=0.0032 and TCR 8 vs sham TCR+JCV p=0.029 D . Percent killing of SVG cells determined by flow cytometry based on gating of loss of live astrocytes. p value <0.001; TCR 3 vs sham TCR+JCV p<0.001 and TCR 8 vs sham TCR+JCV p=0.002 by unpaired T test. Done in duplicate at various unsorted E:Ts, mean results shown.

    Journal: bioRxiv

    Article Title: Antigen-Specific T Cell Receptor Discovery for Treating Progressive Multifocal Leukoencephalopathy

    doi: 10.1101/2024.11.04.621904

    Figure Lengend Snippet: A . Schematic of experimental layout. B . TCR 3 and TCR 8 tested against K562 presenting VP1(100-108) on HLA-A2 vs a control TCR (DMF5) with its corresponding peptide (MART1) after 48h incubation at unsorted E:T of 0.5 and 2. Error bars repres nt SEM for 3 technical replicates from one representative experiment. p<0.001 by unpaired T test. C . After 72 hours of co-culture with JCV-infected SVG cells and no T cells (no TCR), sham TCR, TCR 3, and TCR 8 looking at live CD8+ T cell CD137 positivity via flow cytometry. TCR 3 and 8 vs no TCR p value <0.001; TCR 3 vs sham TCR+JCV p=0.0032 and TCR 8 vs sham TCR+JCV p=0.029 D . Percent killing of SVG cells determined by flow cytometry based on gating of loss of live astrocytes. p value <0.001; TCR 3 vs sham TCR+JCV p<0.001 and TCR 8 vs sham TCR+JCV p=0.002 by unpaired T test. Done in duplicate at various unsorted E:Ts, mean results shown.

    Article Snippet: The patient sample was thawed and stained with live dead aqua (Invitrogen L34966), anti-CD8 (PE-Cy7, Invitrogen 25-0087-42), and JCV VP1(100-108):HLA-A*02:01 (PE) (and the bioequivalent BKV VP1(100-108): HLA-A*02:01 (APC) tetramer as described above, followed by analysis on a Fortessa flow cytometer using FACSDiva software (BD).

    Techniques: Control, Incubation, Co-Culture Assay, Infection, Flow Cytometry

    Flow cytometry data of live CD8+ T cells stained with HLA-A2:BK VP1 (100-108) and HLA-A2:JV VP1 (100-108) at 1:50 tetramer dilution with an HLA-A2 positive JCV antibody negative healthy donor on the left and an HLA-A2 confirmed PML survivor on the right.

    Journal: bioRxiv

    Article Title: Antigen-Specific T Cell Receptor Discovery for Treating Progressive Multifocal Leukoencephalopathy

    doi: 10.1101/2024.11.04.621904

    Figure Lengend Snippet: Flow cytometry data of live CD8+ T cells stained with HLA-A2:BK VP1 (100-108) and HLA-A2:JV VP1 (100-108) at 1:50 tetramer dilution with an HLA-A2 positive JCV antibody negative healthy donor on the left and an HLA-A2 confirmed PML survivor on the right.

    Article Snippet: The patient sample was thawed and stained with live dead aqua (Invitrogen L34966), anti-CD8 (PE-Cy7, Invitrogen 25-0087-42), and JCV VP1(100-108):HLA-A*02:01 (PE) (and the bioequivalent BKV VP1(100-108): HLA-A*02:01 (APC) tetramer as described above, followed by analysis on a Fortessa flow cytometer using FACSDiva software (BD).

    Techniques: Flow Cytometry, Staining

    (A) Heatmap showing MetaNeighbor’s AUROC scores between thymocytes split by donor, lineage, and non-effector (c0–11) versus effector (c12–17) clusters. Barplots indicate thymocyte proportions per lineage. (B) Pseudo-bulk differential expression analysis between CD4 + /iNKT and CD8 + /MAIT thymocytes in naive clusters (3, 9, 10, 11). As a negative control, the only three genes that were differentially expressed between CD4 + /MAIT and CD8 + /iNKT thymocytes are displayed in the center of the heatmap. (C) Pseudo-bulk differential expression analysis between CD4 + /CD8 + and iNKT/MAIT thymocytes in naive clusters (3, 9, 10, 11). For both (B) and (C), heatmap displays the expression level of genes (represented with color scale as a Z score of the average normalized expression) that are significantly differentially expressed ( p adj < 0.01). (D) Clustering of hashtag-separated thymic iNKT cells (top), MAIT cells (middle), and γδ T cells (bottom). Right panel shows the score of type I and type III effector gene signature for the corresponding thymic lineage. (E) Kernel density estimates of the normalized expression level of genes of interest. The expression level distribution varies between genes and lineage. The range of kernel density estimate values also varies between each panel (from 0 to 0.04 for the smallest range and 0 to 0.4 for the largest range). A unique color scale was represented to indicate the direction of the values.

    Journal: Cell reports

    Article Title: Unraveling the phenotypic states of human innate-like T cells: Comparative insights with conventional T cells and mouse models

    doi: 10.1016/j.celrep.2024.114705

    Figure Lengend Snippet: (A) Heatmap showing MetaNeighbor’s AUROC scores between thymocytes split by donor, lineage, and non-effector (c0–11) versus effector (c12–17) clusters. Barplots indicate thymocyte proportions per lineage. (B) Pseudo-bulk differential expression analysis between CD4 + /iNKT and CD8 + /MAIT thymocytes in naive clusters (3, 9, 10, 11). As a negative control, the only three genes that were differentially expressed between CD4 + /MAIT and CD8 + /iNKT thymocytes are displayed in the center of the heatmap. (C) Pseudo-bulk differential expression analysis between CD4 + /CD8 + and iNKT/MAIT thymocytes in naive clusters (3, 9, 10, 11). For both (B) and (C), heatmap displays the expression level of genes (represented with color scale as a Z score of the average normalized expression) that are significantly differentially expressed ( p adj < 0.01). (D) Clustering of hashtag-separated thymic iNKT cells (top), MAIT cells (middle), and γδ T cells (bottom). Right panel shows the score of type I and type III effector gene signature for the corresponding thymic lineage. (E) Kernel density estimates of the normalized expression level of genes of interest. The expression level distribution varies between genes and lineage. The range of kernel density estimate values also varies between each panel (from 0 to 0.04 for the smallest range and 0 to 0.4 for the largest range). A unique color scale was represented to indicate the direction of the values.

    Article Snippet: Anti-human CD8ɑ - PE-Cy7 (clone SK1) , Tonbo biosciences , Cat#60-0087; RRID: AB_3106994.

    Techniques: Quantitative Proteomics, Negative Control, Expressing

    (A–C) (A) Clustering of hashtag-separated blood iNKT, MAIT, γδ T, CD4, and CD8 T cells, (B) the respective proportion of cells per cluster and donor, and (C) the effector GEP signature scores (as in ) per cell type and cluster. (D) Top GEP usage for each cell type, based on cNMF-derived usage matrix. (E) Pseudo-bulk, pairwise differential gene expression between cell types. (F) Cell-type-specific genes among T inn cells using GEP5. For both (E) and (F), heatmaps depict the expression level of genes (represented with color scale as a Z score of the average normalized expression) that are significantly differentially expressed ( p adj < 0.01). n = 4, 4, 9, 4, and 9 for iNKT, MAIT, γδ, CD4, and CD8 cells, respectively.

    Journal: Cell reports

    Article Title: Unraveling the phenotypic states of human innate-like T cells: Comparative insights with conventional T cells and mouse models

    doi: 10.1016/j.celrep.2024.114705

    Figure Lengend Snippet: (A–C) (A) Clustering of hashtag-separated blood iNKT, MAIT, γδ T, CD4, and CD8 T cells, (B) the respective proportion of cells per cluster and donor, and (C) the effector GEP signature scores (as in ) per cell type and cluster. (D) Top GEP usage for each cell type, based on cNMF-derived usage matrix. (E) Pseudo-bulk, pairwise differential gene expression between cell types. (F) Cell-type-specific genes among T inn cells using GEP5. For both (E) and (F), heatmaps depict the expression level of genes (represented with color scale as a Z score of the average normalized expression) that are significantly differentially expressed ( p adj < 0.01). n = 4, 4, 9, 4, and 9 for iNKT, MAIT, γδ, CD4, and CD8 cells, respectively.

    Article Snippet: Anti-human CD8ɑ - PE-Cy7 (clone SK1) , Tonbo biosciences , Cat#60-0087; RRID: AB_3106994.

    Techniques: Derivative Assay, Gene Expression, Expressing

    Journal: Cell reports

    Article Title: Unraveling the phenotypic states of human innate-like T cells: Comparative insights with conventional T cells and mouse models

    doi: 10.1016/j.celrep.2024.114705

    Figure Lengend Snippet:

    Article Snippet: Anti-human CD8ɑ - PE-Cy7 (clone SK1) , Tonbo biosciences , Cat#60-0087; RRID: AB_3106994.

    Techniques: Purification, Plasmid Preparation, Blocking Assay, Multiplexing, Recombinant, Antibody Labeling, Staining, Amplification, Software, Flow Cytometry

    A Representative contour plots showing CD4+ and CD8+ T cells in the liver cells immunized with Scd/Scot1 KO sporozoites or uninfected salivary gland debris (SGD). B Total liver lymphocytes in different groups of mice. The average data from 10 mice/group is the mean ± SEM of three biological replicates. C Number of T lymphocytes. The average data from 5 mice/group is the mean ± SEM of three biological replicates. D The number of CD8+ T-cells. The average data from 5 mice/group is the mean ± SEM of three biological replicates. E Number of CD4+ T-cells. The average data from 5 mice/group is the mean ± SEM of three biological replicates. F Representative contour plots showing CD8+ Effector (T EM ) and Resident memory (T RM ) T cells present within the CD8+ memory T cell (CD8+ CD44 hi ) pool in the liver cells. G Number of CD8+ effector memory T-cells in SGD- or Scd/Scot1 KO - immunized mice. T EM CD8+ T cells were stratified as CD62L lo KLRG1 + CD8+ CD44 hi T lymphocytes. The average data from 5 mice/group is the mean ± SEM of three biological replicates. H Number of CD8+ resident memory T-cells in SGD or Scd/Scot1 KO immunized mice. The T RM CD8+ T cells were stratified as CD62L lo CXCR6+ CD8+ CD44 hi T lymphocytes. The average data from 5 mice/group is the mean ± SEM of three biological replicates. Significant differences between groups are indicated on the graphs. Student’s t test was used to determine the statistical significance.

    Journal: NPJ Vaccines

    Article Title: A Plasmodium late liver stage arresting GAP provides superior protection in mice

    doi: 10.1038/s41541-024-00975-0

    Figure Lengend Snippet: A Representative contour plots showing CD4+ and CD8+ T cells in the liver cells immunized with Scd/Scot1 KO sporozoites or uninfected salivary gland debris (SGD). B Total liver lymphocytes in different groups of mice. The average data from 10 mice/group is the mean ± SEM of three biological replicates. C Number of T lymphocytes. The average data from 5 mice/group is the mean ± SEM of three biological replicates. D The number of CD8+ T-cells. The average data from 5 mice/group is the mean ± SEM of three biological replicates. E Number of CD4+ T-cells. The average data from 5 mice/group is the mean ± SEM of three biological replicates. F Representative contour plots showing CD8+ Effector (T EM ) and Resident memory (T RM ) T cells present within the CD8+ memory T cell (CD8+ CD44 hi ) pool in the liver cells. G Number of CD8+ effector memory T-cells in SGD- or Scd/Scot1 KO - immunized mice. T EM CD8+ T cells were stratified as CD62L lo KLRG1 + CD8+ CD44 hi T lymphocytes. The average data from 5 mice/group is the mean ± SEM of three biological replicates. H Number of CD8+ resident memory T-cells in SGD or Scd/Scot1 KO immunized mice. The T RM CD8+ T cells were stratified as CD62L lo CXCR6+ CD8+ CD44 hi T lymphocytes. The average data from 5 mice/group is the mean ± SEM of three biological replicates. Significant differences between groups are indicated on the graphs. Student’s t test was used to determine the statistical significance.

    Article Snippet: The cells were stained with FITC-conjugated CD3 (Invitrogen, 11-0031-82), PE-Cy5-conjugated CD4 (Invitrogen, 15-0042-82), PE-Cy7-conjugated CD8 (Invitrogen, 25-0081-82), Alexa Fluor 700-conjugated CD44 (Invitrogen, 56-0441-82), PerCP-eFluor 710-conjugated KLRG1 (Invitrogen, 46-5893-82), APC-conjugated CD62L (Invitrogen, 17-0621-82), PerCP-eFluor 710-conjugated CXCR6 (Invitrogen, 46-9186-82), PerCP-Cyanine 5.5 CD69 (Invitrogen, 45-0691-82) anti-mouse monoclonal antibodies on ice for 20 min.

    Techniques:

    A Schematic representation showing the immunization strategy for mice receiving three doses of EA-GAP, LA-GAP sporozoites, or uninfected salivary gland debris (SGD) as a control. Mice were euthanized ten days after the last immunization, and liver T lymphocyte subsets were analyzed using flow cytometry. B Representative contour plots showing CD4+ and CD8+ T cells in the liver. C Total liver lymphocytes in different groups of mice. LA GAP and EA-GAP immunized groups showed 5.8-fold and 3.5-fold increase compared to SGD. D Number of T lymphocytes. LA-GAP immunized mice showed the highest number of T lymphocytes compared to EA-GAP and SGD. The difference between EA-GAP and SGD was not statistically significant. E Number of CD8+ T-cells. LA-GAP immunized mice showed the highest number of CD8+ T-cells compared to EA-GAP and SGD. F Number of CD4+ T cells. A higher number of CD4+ T cells were found in EA-GAP and LA-GAP immunized groups compared to SGD; however, the difference between EA-GAP and SGD was not statistically significant. G Representative contour plots showing CD8+ Effector (T EM ) and Resident memory (T RM ) T cells present within the CD8+ memory T cell (CD8+ CD44 hi ) pool from the liver. CD8+ T EM were stratified as CD8+ CD44 hi CD62L lo KLRG1 + T lymphocytes, while CD8+ T RM were stratified as CD8+ CD44 hi CD62L lo CD69 + T lymphocytes. H Number of CD8+ T EM. I Number of CD8+ resident memory T-cells. LA-GAP immunized mice showed the highest number of T EM and T RM compared to EA-GAP and SGD. The 5 mice/group data are shown as the mean ± SD. Student’s t test was used to determine the statistical significance.

    Journal: NPJ Vaccines

    Article Title: A Plasmodium late liver stage arresting GAP provides superior protection in mice

    doi: 10.1038/s41541-024-00975-0

    Figure Lengend Snippet: A Schematic representation showing the immunization strategy for mice receiving three doses of EA-GAP, LA-GAP sporozoites, or uninfected salivary gland debris (SGD) as a control. Mice were euthanized ten days after the last immunization, and liver T lymphocyte subsets were analyzed using flow cytometry. B Representative contour plots showing CD4+ and CD8+ T cells in the liver. C Total liver lymphocytes in different groups of mice. LA GAP and EA-GAP immunized groups showed 5.8-fold and 3.5-fold increase compared to SGD. D Number of T lymphocytes. LA-GAP immunized mice showed the highest number of T lymphocytes compared to EA-GAP and SGD. The difference between EA-GAP and SGD was not statistically significant. E Number of CD8+ T-cells. LA-GAP immunized mice showed the highest number of CD8+ T-cells compared to EA-GAP and SGD. F Number of CD4+ T cells. A higher number of CD4+ T cells were found in EA-GAP and LA-GAP immunized groups compared to SGD; however, the difference between EA-GAP and SGD was not statistically significant. G Representative contour plots showing CD8+ Effector (T EM ) and Resident memory (T RM ) T cells present within the CD8+ memory T cell (CD8+ CD44 hi ) pool from the liver. CD8+ T EM were stratified as CD8+ CD44 hi CD62L lo KLRG1 + T lymphocytes, while CD8+ T RM were stratified as CD8+ CD44 hi CD62L lo CD69 + T lymphocytes. H Number of CD8+ T EM. I Number of CD8+ resident memory T-cells. LA-GAP immunized mice showed the highest number of T EM and T RM compared to EA-GAP and SGD. The 5 mice/group data are shown as the mean ± SD. Student’s t test was used to determine the statistical significance.

    Article Snippet: The cells were stained with FITC-conjugated CD3 (Invitrogen, 11-0031-82), PE-Cy5-conjugated CD4 (Invitrogen, 15-0042-82), PE-Cy7-conjugated CD8 (Invitrogen, 25-0081-82), Alexa Fluor 700-conjugated CD44 (Invitrogen, 56-0441-82), PerCP-eFluor 710-conjugated KLRG1 (Invitrogen, 46-5893-82), APC-conjugated CD62L (Invitrogen, 17-0621-82), PerCP-eFluor 710-conjugated CXCR6 (Invitrogen, 46-9186-82), PerCP-Cyanine 5.5 CD69 (Invitrogen, 45-0691-82) anti-mouse monoclonal antibodies on ice for 20 min.

    Techniques: Control, Flow Cytometry