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b cells er 170 cd3 ucht1 s standard biotools 3170001b ab 2811085  (fluidigm)


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    fluidigm b cells er 170 cd3 ucht1 s standard biotools 3170001b ab 2811085
    B Cells Er 170 Cd3 Ucht1 S Standard Biotools 3170001b Ab 2811085, supplied by fluidigm, used in various techniques. Bioz Stars score: 94/100, based on 26 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cd3+170+er+ucht1/pmc11930985__41467_2025_58179_MOESM1_ESM-141-57-64?v=fluidigm
    Average 94 stars, based on 26 article reviews
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    PD-L1-expression CD8 + T cells were enriched in lung tumor lesions (A) viSNE analysis of <t>CD3</t> + T cells, showing the identification of 16 main clusters. Each dot corresponds to a single cell, colored according to the cell cluster. (B) Normalized expression of related markers on CD3 + T cells shown by a viSNE plot. (C) Heatmap of Phenograph clusters of CD3 + T cells. The relative expression levels of markers across cells are shown, sorted by cell types. (D) Bar plots of the frequencies of the clusters from (A) across tissue samples from 10 lung cancer patients (∗p <0.05 and ∗∗p <0.01, paired two-tailed t-test). (E) viSNE analysis of CD8 + T cells, showing the identification of 11 clusters. Each dot corresponds to a single cell, colored according to the cell cluster. (F) Normalized expression of PD1 and PD-L1 on CD8 + cells shown by the viSNE plot in (E). (G) Normalized expression of CD38, CD39, CD103, CD127, CD45RA, TIM3, IFNγ, and Granzyme B in CD8 + T cell clusters shown by the viSNE plot in (E). (H) Bar plots of the frequencies of cluster one of the CD8 viSNE plot across tissue samples for 12 lung tumor patients. (I) Heatmap of the Phenograph clusters 1, five, and seven of CD8 + cells in (E). The relative expression levels of markers across cells are shown. (J) FACS analysis of PD-L1 and CD38 expression in CD8 + T cells from adjacent and tumor tissues (left). Bar plots show the frequencies of CD8 + PD-L1 + CD38 + T cells in different patients (N = 7, ∗p <0.05, paired two-tailed t-test). (K) The ratio of CD4 + CD57 + T cell to CD4 + Treg cluster frequencies and CD8 + CD57 + T cell to PD-L1 + CD8 + cell cluster frequencies across tissue samples (N = 10). ∗p <0.05 and ∗∗p <0.01, paired two-tailed t-test.
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    PD-L1-expression CD8 + T cells were enriched in lung tumor lesions (A) viSNE analysis of <t>CD3</t> + T cells, showing the identification of 16 main clusters. Each dot corresponds to a single cell, colored according to the cell cluster. (B) Normalized expression of related markers on CD3 + T cells shown by a viSNE plot. (C) Heatmap of Phenograph clusters of CD3 + T cells. The relative expression levels of markers across cells are shown, sorted by cell types. (D) Bar plots of the frequencies of the clusters from (A) across tissue samples from 10 lung cancer patients (∗p <0.05 and ∗∗p <0.01, paired two-tailed t-test). (E) viSNE analysis of CD8 + T cells, showing the identification of 11 clusters. Each dot corresponds to a single cell, colored according to the cell cluster. (F) Normalized expression of PD1 and PD-L1 on CD8 + cells shown by the viSNE plot in (E). (G) Normalized expression of CD38, CD39, CD103, CD127, CD45RA, TIM3, IFNγ, and Granzyme B in CD8 + T cell clusters shown by the viSNE plot in (E). (H) Bar plots of the frequencies of cluster one of the CD8 viSNE plot across tissue samples for 12 lung tumor patients. (I) Heatmap of the Phenograph clusters 1, five, and seven of CD8 + cells in (E). The relative expression levels of markers across cells are shown. (J) FACS analysis of PD-L1 and CD38 expression in CD8 + T cells from adjacent and tumor tissues (left). Bar plots show the frequencies of CD8 + PD-L1 + CD38 + T cells in different patients (N = 7, ∗p <0.05, paired two-tailed t-test). (K) The ratio of CD4 + CD57 + T cell to CD4 + Treg cluster frequencies and CD8 + CD57 + T cell to PD-L1 + CD8 + cell cluster frequencies across tissue samples (N = 10). ∗p <0.05 and ∗∗p <0.01, paired two-tailed t-test.
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    Whole blood phosphoflow panel 1

    Journal: Methods in molecular biology (Clifton, N.J.)

    Article Title: Mass Cytometry Assessment of Cell Phenotypes and Signaling States in Human Whole Blood

    doi: 10.1007/978-1-0716-2553-8_10

    Figure Lengend Snippet: Whole blood phosphoflow panel 1

    Article Snippet: 142 Nd cCasp3 D3E9 Fluidigm 3142004A 143 Nd CD19 HIB19 Biolegend 302202 144 Nd pPLCg2 [Y759] K86-689.37 Fluidigm 3144015A 145 Nd CD4 RPA-T4 Fluidigm 3145001B 146 Nd IgD IA6-2 Fluidigm 3146005B 147 Sm CD20 2H7 Fluidigm 3147001B 148 Nd IgA Polyclonal Fluidigm 3148007B 149 Sm CD25 2A3 Fluidigm 3149010B 150 Nd pStat5 [Y694] 47 Fluidigm 3150005A 151 Eu CD123 6H6 Fluidigm 3151001B 153 Eu pStat1 [Y701] 4a Fluidigm 3153005A 154 Sm CD45 HI30 Fluidigm 3154001B 155Gd CD27 L128 Fluidigm 3155001B 156 Gd p38 [T180/Y182] D3F9 Fluidigm 3156002A 157 Gd CD24 ML-5 Biolegend 311102 158 Gd pStat3 [Y705] 4/P-Stat3 Fluidigm 3158005A 159Tb CD11c Bu15 Fluidigm 3159001B 160Gd CD14 M5E2 Fluidigm 3160001B 161 Dy CD141(BDCA-3) AD5-14H12 Miltenyi 130-090-694 162 Dy CD66b 80H3 Fluidigm 3162023B 163 Dy CD56 NCAM16.2 Fluidigm 3163007B 164 Dy IkBa L35A5 Fluidigm 3164004A 165 Ho pCREB [S133] 87G3 Fluidigm 3165009A 166 Er CD16 B73.1 Biolegend 360702 167 Er CD38 HIT2 Fluidigm 3167001B 168 Er CD8 SK1 Fluidigm 3168002B 169 Tm CD45RA HI100 Fluidigm 3169008B 170 Er CD3 UCHT1 Fluidigm 3170001B 171 Yb pERK1/2 [T202/Y204] D13.14.4E Fluidigm 3171010A 172 Yb Anti-Ki-67 B56 Fluidigm 3172024B 174 Yb HLA-DR L243 Fluidigm 3174001B 175Lu CD7 CD7-6B7 Biolegend 343102 176 Yb CD127/IL-7Ra P48-48 Novus Bio MAB306-100 209Bi CD11b/Mac-1 ICRF44 Fluidigm 3209003B Open in a separate window 1 Open channels are not shown but include Pd channels, Cd channel, Pt channels, 89Y,152Sm and 173Yb Whole blood phosphoflow panel1.

    Techniques:

    Surface marker antibody cocktail

    Journal: STAR Protocols

    Article Title: CyTOF mass cytometry analysis of human memory CD4 + T cells and memory B cells

    doi: 10.1016/j.xpro.2022.101269

    Figure Lengend Snippet: Surface marker antibody cocktail

    Article Snippet: 170 Er-conjugated anti-human CD3 (clone UCHT1) (1:50 dilution) , Fluidigm , Cat#3170001B.

    Techniques: Marker

    CyTOF data analysis (A) PBMCs from four healthy donors were stained with a panel of metal-labeled antibodies and analyzed by CyTOF. After data pre-processing, manual gating was used to identify classical MBCs (CD3 - CD19 + CD20 + CD10 - CD27 + CD21 + ), atypical MBCs (CD3 - CD19 + CD20 + CD10 - CD27 - CD21 - ) and activated MBCs (CD3 - CD19 + CD20 + CD10 - CD27 + CD21 - ). tSNE analysis was then performed in Cytobank ( <xref ref-type=Kotecha et al., 2010 ) before self-organizing maps (SOMs) were generated using hierarchical consensus clustering on the tSNE axes. (B) tSNE and FlowSOM analysis of classical MBCs. (C) tSNE and FlowSOM analysis of atypical MBCs. (D) tSNE and FlowSOM analysis of activated MBCs. (E) A similar approach was used to analyze the memory CD4 + T cell compartment. Manual gating was used to identify T H1 memory CD4 + T cells (CD19 - CD3 + CD4 + CD45RA - CCR6 - CXCR3 + ), T H2 memory CD4 + T cells (CD19 - CD3 + CD4 + CD45RA - CCR6 - CXCR3 - ), T H17 memory CD4 + T cells (CD19 - CD3 + CD4 + CD45RA - CCR6 + CXCR3 - ) and circulating memory T FH cells (CD19 - CD3 + CD4 + CD45RA - CXCR5 + ) before tSNE analysis and FlowSOM clustering was performed for each memory CD4 + T cell sub-set. (F) tSNE and FlowSOM analysis of T H1 memory CD4 + T cells. (G) tSNE and FlowSOM analysis of T H2 memory CD4 + T cells. (H) tSNE and FlowSOM analysis of T H17 memory CD4 + T cells. (I) tSNE and FlowSOM analysis of circulating memory T FH cells. The tSNE plots in the upper left panel display cell density and represent the pooled data from four healthy donors, while the upper right panel shows a projection of the FlowSOM clusters on the tSNE plot. Heatmaps shows the mean marker expression for each FlowSOM cluster. " width="100%" height="100%">

    Journal: STAR Protocols

    Article Title: CyTOF mass cytometry analysis of human memory CD4 + T cells and memory B cells

    doi: 10.1016/j.xpro.2022.101269

    Figure Lengend Snippet: CyTOF data analysis (A) PBMCs from four healthy donors were stained with a panel of metal-labeled antibodies and analyzed by CyTOF. After data pre-processing, manual gating was used to identify classical MBCs (CD3 - CD19 + CD20 + CD10 - CD27 + CD21 + ), atypical MBCs (CD3 - CD19 + CD20 + CD10 - CD27 - CD21 - ) and activated MBCs (CD3 - CD19 + CD20 + CD10 - CD27 + CD21 - ). tSNE analysis was then performed in Cytobank ( Kotecha et al., 2010 ) before self-organizing maps (SOMs) were generated using hierarchical consensus clustering on the tSNE axes. (B) tSNE and FlowSOM analysis of classical MBCs. (C) tSNE and FlowSOM analysis of atypical MBCs. (D) tSNE and FlowSOM analysis of activated MBCs. (E) A similar approach was used to analyze the memory CD4 + T cell compartment. Manual gating was used to identify T H1 memory CD4 + T cells (CD19 - CD3 + CD4 + CD45RA - CCR6 - CXCR3 + ), T H2 memory CD4 + T cells (CD19 - CD3 + CD4 + CD45RA - CCR6 - CXCR3 - ), T H17 memory CD4 + T cells (CD19 - CD3 + CD4 + CD45RA - CCR6 + CXCR3 - ) and circulating memory T FH cells (CD19 - CD3 + CD4 + CD45RA - CXCR5 + ) before tSNE analysis and FlowSOM clustering was performed for each memory CD4 + T cell sub-set. (F) tSNE and FlowSOM analysis of T H1 memory CD4 + T cells. (G) tSNE and FlowSOM analysis of T H2 memory CD4 + T cells. (H) tSNE and FlowSOM analysis of T H17 memory CD4 + T cells. (I) tSNE and FlowSOM analysis of circulating memory T FH cells. The tSNE plots in the upper left panel display cell density and represent the pooled data from four healthy donors, while the upper right panel shows a projection of the FlowSOM clusters on the tSNE plot. Heatmaps shows the mean marker expression for each FlowSOM cluster.

    Article Snippet: 170 Er-conjugated anti-human CD3 (clone UCHT1) (1:50 dilution) , Fluidigm , Cat#3170001B.

    Techniques: Staining, Labeling, Generated, Marker, Expressing

    Journal: STAR Protocols

    Article Title: CyTOF mass cytometry analysis of human memory CD4 + T cells and memory B cells

    doi: 10.1016/j.xpro.2022.101269

    Figure Lengend Snippet:

    Article Snippet: 170 Er-conjugated anti-human CD3 (clone UCHT1) (1:50 dilution) , Fluidigm , Cat#3170001B.

    Techniques: Recombinant, Saline, Staining, Software, Cytometry

    PD-L1-expression CD8 + T cells were enriched in lung tumor lesions (A) viSNE analysis of CD3 + T cells, showing the identification of 16 main clusters. Each dot corresponds to a single cell, colored according to the cell cluster. (B) Normalized expression of related markers on CD3 + T cells shown by a viSNE plot. (C) Heatmap of Phenograph clusters of CD3 + T cells. The relative expression levels of markers across cells are shown, sorted by cell types. (D) Bar plots of the frequencies of the clusters from (A) across tissue samples from 10 lung cancer patients (∗p <0.05 and ∗∗p <0.01, paired two-tailed t-test). (E) viSNE analysis of CD8 + T cells, showing the identification of 11 clusters. Each dot corresponds to a single cell, colored according to the cell cluster. (F) Normalized expression of PD1 and PD-L1 on CD8 + cells shown by the viSNE plot in (E). (G) Normalized expression of CD38, CD39, CD103, CD127, CD45RA, TIM3, IFNγ, and Granzyme B in CD8 + T cell clusters shown by the viSNE plot in (E). (H) Bar plots of the frequencies of cluster one of the CD8 viSNE plot across tissue samples for 12 lung tumor patients. (I) Heatmap of the Phenograph clusters 1, five, and seven of CD8 + cells in (E). The relative expression levels of markers across cells are shown. (J) FACS analysis of PD-L1 and CD38 expression in CD8 + T cells from adjacent and tumor tissues (left). Bar plots show the frequencies of CD8 + PD-L1 + CD38 + T cells in different patients (N = 7, ∗p <0.05, paired two-tailed t-test). (K) The ratio of CD4 + CD57 + T cell to CD4 + Treg cluster frequencies and CD8 + CD57 + T cell to PD-L1 + CD8 + cell cluster frequencies across tissue samples (N = 10). ∗p <0.05 and ∗∗p <0.01, paired two-tailed t-test.

    Journal: iScience

    Article Title: PD-L1 + CD8 + T cells enrichment in lung cancer exerted regulatory function and tumor-promoting tolerance

    doi: 10.1016/j.isci.2022.103785

    Figure Lengend Snippet: PD-L1-expression CD8 + T cells were enriched in lung tumor lesions (A) viSNE analysis of CD3 + T cells, showing the identification of 16 main clusters. Each dot corresponds to a single cell, colored according to the cell cluster. (B) Normalized expression of related markers on CD3 + T cells shown by a viSNE plot. (C) Heatmap of Phenograph clusters of CD3 + T cells. The relative expression levels of markers across cells are shown, sorted by cell types. (D) Bar plots of the frequencies of the clusters from (A) across tissue samples from 10 lung cancer patients (∗p <0.05 and ∗∗p <0.01, paired two-tailed t-test). (E) viSNE analysis of CD8 + T cells, showing the identification of 11 clusters. Each dot corresponds to a single cell, colored according to the cell cluster. (F) Normalized expression of PD1 and PD-L1 on CD8 + cells shown by the viSNE plot in (E). (G) Normalized expression of CD38, CD39, CD103, CD127, CD45RA, TIM3, IFNγ, and Granzyme B in CD8 + T cell clusters shown by the viSNE plot in (E). (H) Bar plots of the frequencies of cluster one of the CD8 viSNE plot across tissue samples for 12 lung tumor patients. (I) Heatmap of the Phenograph clusters 1, five, and seven of CD8 + cells in (E). The relative expression levels of markers across cells are shown. (J) FACS analysis of PD-L1 and CD38 expression in CD8 + T cells from adjacent and tumor tissues (left). Bar plots show the frequencies of CD8 + PD-L1 + CD38 + T cells in different patients (N = 7, ∗p <0.05, paired two-tailed t-test). (K) The ratio of CD4 + CD57 + T cell to CD4 + Treg cluster frequencies and CD8 + CD57 + T cell to PD-L1 + CD8 + cell cluster frequencies across tissue samples (N = 10). ∗p <0.05 and ∗∗p <0.01, paired two-tailed t-test.

    Article Snippet: anti-human CD3 -170Er , Fluidigm , Cat# 3170001B.

    Techniques: Expressing, Two Tailed Test

    The IMC system analysis indicated PD-L1 + CD8 + T cells enrichment in lung tumor tissues and spatially located with PD-1 + effect T cells (A) Staining for tumor cells (Pan-CK), immune cells (CD45, CD3, CD4, and CD8), and nuclei (DNA) in one of the representative patients. (B) Normalized expression of CD45, Pan-CK, Epcam, CD3, CD4, and CD8 was shown in the viSNE plot. (C) The intensity of Pan-CK + , Epcam + , CD45 + , and CD3 + cells in lung tumors and adjacent tissues, N = 9. (D) Representative co-expression of CD8 and PD-L1 in tumor tissues from two patients. (E) viSNE plot of CD8 + T cells, showing the identification of 11 clusters. Each dot corresponds to a single cell, colored according to the cell cluster. (F) Heatmap of the Phenograph clusters of CD8 + cells. The relative expression levels of markers across cells were shown. (G) The frequency of PD-L1 + , PD-1 + , CD38 + , and CD39 + in CD8 + T cells in adjacent and tumor tissues is determined by IMC. N = 9, two tailed paired t-test. (H) Two representative samples of the neighborhood cells with PD-L1 + CD8 + T cells in lung tumor tissues. (I) viSNE plot showed the neighborhood cells with PD-L1 + CD8 + T cells in lung tumor tissues, including 7 clusters. (J) viSNE plot of the related markers of the CD8 + T cell clusters generated in (I). (K) Re-cluster of neighborhood CD8 + T cells with PD-L1 + CD8 + T cells in lung tumor tissues, including five clusters. (L) Heatmap of the related markers across the neighborhood CD8 + T cells generated in (K).

    Journal: iScience

    Article Title: PD-L1 + CD8 + T cells enrichment in lung cancer exerted regulatory function and tumor-promoting tolerance

    doi: 10.1016/j.isci.2022.103785

    Figure Lengend Snippet: The IMC system analysis indicated PD-L1 + CD8 + T cells enrichment in lung tumor tissues and spatially located with PD-1 + effect T cells (A) Staining for tumor cells (Pan-CK), immune cells (CD45, CD3, CD4, and CD8), and nuclei (DNA) in one of the representative patients. (B) Normalized expression of CD45, Pan-CK, Epcam, CD3, CD4, and CD8 was shown in the viSNE plot. (C) The intensity of Pan-CK + , Epcam + , CD45 + , and CD3 + cells in lung tumors and adjacent tissues, N = 9. (D) Representative co-expression of CD8 and PD-L1 in tumor tissues from two patients. (E) viSNE plot of CD8 + T cells, showing the identification of 11 clusters. Each dot corresponds to a single cell, colored according to the cell cluster. (F) Heatmap of the Phenograph clusters of CD8 + cells. The relative expression levels of markers across cells were shown. (G) The frequency of PD-L1 + , PD-1 + , CD38 + , and CD39 + in CD8 + T cells in adjacent and tumor tissues is determined by IMC. N = 9, two tailed paired t-test. (H) Two representative samples of the neighborhood cells with PD-L1 + CD8 + T cells in lung tumor tissues. (I) viSNE plot showed the neighborhood cells with PD-L1 + CD8 + T cells in lung tumor tissues, including 7 clusters. (J) viSNE plot of the related markers of the CD8 + T cell clusters generated in (I). (K) Re-cluster of neighborhood CD8 + T cells with PD-L1 + CD8 + T cells in lung tumor tissues, including five clusters. (L) Heatmap of the related markers across the neighborhood CD8 + T cells generated in (K).

    Article Snippet: anti-human CD3 -170Er , Fluidigm , Cat# 3170001B.

    Techniques: Staining, Expressing, Two Tailed Test, Generated

    Journal: iScience

    Article Title: PD-L1 + CD8 + T cells enrichment in lung cancer exerted regulatory function and tumor-promoting tolerance

    doi: 10.1016/j.isci.2022.103785

    Figure Lengend Snippet:

    Article Snippet: anti-human CD3 -170Er , Fluidigm , Cat# 3170001B.

    Techniques: Recombinant, Antibody Labeling, Enzyme-linked Immunosorbent Assay, Sequencing, Software

    KEY RESOURCES TABLE

    Journal: Cell

    Article Title: NKG2A blockade potentiates CD8 T-cell immunity induced by cancer vaccines

    doi: 10.1016/j.cell.2018.10.028

    Figure Lengend Snippet: KEY RESOURCES TABLE

    Article Snippet: CD3 – 170 Er (UCHT1) , Fluidigm , Prod#: 3170001B; RRID: AB_2661807.

    Techniques: Blocking Assay, Purification, Virus, Recombinant, Staining, Transfection, Cell Stimulation, Adjuvant, Mutagenesis, Transgenic Assay, Marker, Sequencing, Expressing, Plasmid Preparation, Software, CRISPR