anti human cd8ɑ pe cy7 Search Results


99
Biotium cd3e, mouse(145-2c11)
Cd3e, Mouse(145 2c11), supplied by Biotium, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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New England Biolabs gibson assembly master mix
Gibson Assembly Master Mix, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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gibson assembly master mix - by Bioz Stars, 2026-02
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90
Thermo Fisher anti-human cd8α - apc
(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 Cd8α Apc, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/anti-human cd8α - apc/product/Thermo Fisher
Average 90 stars, based on 1 article reviews
anti-human cd8α - apc - by Bioz Stars, 2026-02
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91
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 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 91 stars, based on 1 article reviews
anti human cd8ɑ pe cy7 - by Bioz Stars, 2026-02
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95
Cell Signaling Technology Inc arginase 1
(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.
Arginase 1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/arginase 1/product/Cell Signaling Technology Inc
Average 95 stars, based on 1 article reviews
arginase 1 - by Bioz Stars, 2026-02
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95
Miltenyi Biotec b2m
(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.
B2m, 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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90
Becton Dickinson anti-mouse cd8ɑ
(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 Mouse Cd8ɑ, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/anti-mouse cd8ɑ/product/Becton Dickinson
Average 90 stars, based on 1 article reviews
anti-mouse cd8ɑ - by Bioz Stars, 2026-02
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99
Miltenyi Biotec cd56
(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.
Cd56, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cd56/product/Miltenyi Biotec
Average 99 stars, based on 1 article reviews
cd56 - by Bioz Stars, 2026-02
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90
Becton Dickinson buv805 anti-mouse cd8ɑ 53-6.7
(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.
Buv805 Anti Mouse Cd8ɑ 53 6.7, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/buv805 anti-mouse cd8ɑ 53-6.7/product/Becton Dickinson
Average 90 stars, based on 1 article reviews
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95
Miltenyi Biotec cd45ro
(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.
Cd45ro, 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
https://www.bioz.com/result/cd45ro/product/Miltenyi Biotec
Average 95 stars, based on 1 article reviews
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90
STEMCELL Technologies Inc anti-cd38 fitc
(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 Cd38 Fitc, supplied by STEMCELL Technologies Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cell Signaling Technology Inc anti-human mouse ki-67
(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 Mouse Ki 67, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


(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 - APC (clone RPA-T8) , Thermo Fisher Scientific , Cat#17-0088-42; RRID: AB_10669564.

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 - APC (clone RPA-T8) , Thermo Fisher Scientific , Cat#17-0088-42; RRID: AB_10669564.

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 - APC (clone RPA-T8) , Thermo Fisher Scientific , Cat#17-0088-42; RRID: AB_10669564.

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

(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