flowsom plugin Search Results


flowsom plugin  (Becton Dickinson)
90
Becton Dickinson flowsom plugin
Flowsom Plugin, 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/flowsom plugin/product/Becton Dickinson
Average 90 stars, based on 1 article reviews
flowsom plugin - by Bioz Stars, 2026-05
90/100 stars
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high dimensional plugin algorithms flowsom  (Becton Dickinson)
90
Becton Dickinson high dimensional plugin algorithms flowsom
High Dimensional Plugin Algorithms Flowsom, 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/high dimensional plugin algorithms flowsom/product/Becton Dickinson
Average 90 stars, based on 1 article reviews
high dimensional plugin algorithms flowsom - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier
high dimensional plugin algorithms umap flowsom  (Becton Dickinson)
90
Becton Dickinson high dimensional plugin algorithms umap flowsom
Expression of KLRG1 on tumor-infiltrating CD4 T cells over time in MC38 and NPK-C1. (A) Schematic summary of study design, models used, and analysis pipeline. (B) Dimensionality reduction (UMAP) and clustering <t>(FlowSOM)</t> of NPK-C1 (B) and MC38 (C) infiltrating immune cells, focusing on CD4 + Treg and Tconv populations. Cell-type subclustering, expression of FoxP3 and KLRG1 by heat map coloring, UMAP time courses, and frequencies of KLRG1 expression in each cell type. (D) Expression of phenotypic markers on all CD4 T cell sub-clusters across NPK-C1 and MC38 markers. Color scale is normalized to min/max of the cell type or all immune cells, as appropriate. Quantitation of KLRG1 expression in other immune cell types in the tumor (E) TDLN (F), NDLNs (G), and blood (H). Data were generated from one experiment of n=10–25 mice per/condition and time point. Statistical significance is denoted by **p<0.01, ***p<0.001, ****p<0.0001. NDLNs, non-draining lymph nodes; TDLN, tumor-draining lymph node.
High Dimensional Plugin Algorithms Umap Flowsom, 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/high dimensional plugin algorithms umap flowsom/product/Becton Dickinson
Average 90 stars, based on 1 article reviews
high dimensional plugin algorithms umap flowsom - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier
flowsom plugin tree star  (Tree Star Inc)
86
Tree Star Inc flowsom plugin tree star
Expression of KLRG1 on tumor-infiltrating CD4 T cells over time in MC38 and NPK-C1. (A) Schematic summary of study design, models used, and analysis pipeline. (B) Dimensionality reduction (UMAP) and clustering <t>(FlowSOM)</t> of NPK-C1 (B) and MC38 (C) infiltrating immune cells, focusing on CD4 + Treg and Tconv populations. Cell-type subclustering, expression of FoxP3 and KLRG1 by heat map coloring, UMAP time courses, and frequencies of KLRG1 expression in each cell type. (D) Expression of phenotypic markers on all CD4 T cell sub-clusters across NPK-C1 and MC38 markers. Color scale is normalized to min/max of the cell type or all immune cells, as appropriate. Quantitation of KLRG1 expression in other immune cell types in the tumor (E) TDLN (F), NDLNs (G), and blood (H). Data were generated from one experiment of n=10–25 mice per/condition and time point. Statistical significance is denoted by **p<0.01, ***p<0.001, ****p<0.0001. NDLNs, non-draining lymph nodes; TDLN, tumor-draining lymph node.
Flowsom Plugin Tree Star, supplied by Tree Star Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/flowsom plugin tree star/product/Tree Star Inc
Average 86 stars, based on 1 article reviews
flowsom plugin tree star - by Bioz Stars, 2026-05
86/100 stars
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Image Search Results


Expression of KLRG1 on tumor-infiltrating CD4 T cells over time in MC38 and NPK-C1. (A) Schematic summary of study design, models used, and analysis pipeline. (B) Dimensionality reduction (UMAP) and clustering (FlowSOM) of NPK-C1 (B) and MC38 (C) infiltrating immune cells, focusing on CD4 + Treg and Tconv populations. Cell-type subclustering, expression of FoxP3 and KLRG1 by heat map coloring, UMAP time courses, and frequencies of KLRG1 expression in each cell type. (D) Expression of phenotypic markers on all CD4 T cell sub-clusters across NPK-C1 and MC38 markers. Color scale is normalized to min/max of the cell type or all immune cells, as appropriate. Quantitation of KLRG1 expression in other immune cell types in the tumor (E) TDLN (F), NDLNs (G), and blood (H). Data were generated from one experiment of n=10–25 mice per/condition and time point. Statistical significance is denoted by **p<0.01, ***p<0.001, ****p<0.0001. NDLNs, non-draining lymph nodes; TDLN, tumor-draining lymph node.

Journal: Journal for Immunotherapy of Cancer

Article Title: KLRG1 marks tumor-infiltrating CD4 T cell subsets associated with tumor progression and immunotherapy response

doi: 10.1136/jitc-2023-006782

Figure Lengend Snippet: Expression of KLRG1 on tumor-infiltrating CD4 T cells over time in MC38 and NPK-C1. (A) Schematic summary of study design, models used, and analysis pipeline. (B) Dimensionality reduction (UMAP) and clustering (FlowSOM) of NPK-C1 (B) and MC38 (C) infiltrating immune cells, focusing on CD4 + Treg and Tconv populations. Cell-type subclustering, expression of FoxP3 and KLRG1 by heat map coloring, UMAP time courses, and frequencies of KLRG1 expression in each cell type. (D) Expression of phenotypic markers on all CD4 T cell sub-clusters across NPK-C1 and MC38 markers. Color scale is normalized to min/max of the cell type or all immune cells, as appropriate. Quantitation of KLRG1 expression in other immune cell types in the tumor (E) TDLN (F), NDLNs (G), and blood (H). Data were generated from one experiment of n=10–25 mice per/condition and time point. Statistical significance is denoted by **p<0.01, ***p<0.001, ****p<0.0001. NDLNs, non-draining lymph nodes; TDLN, tumor-draining lymph node.

Article Snippet: Flow cytometry data was analyzed in FlowJo V.10.8.1 (BD; Franklin Lakes, New Jersey, USA) and high dimensional plugin algorithms UMAP and FlowSOM were downloaded from FlowJo Exchange.

Techniques: Expressing, Quantitation Assay, Generated

Association between Helios - KLRG1 + Treg frequency and tumor progression. (A) UMAP projection and FlowSOM clustering of NPK-C1 tumor Tregs, and cluster heatmap of normalized phenotypic marker expression. Pearson correlation of each cluster frequency versus tumor mass shown by heat map, and selected correlation dot plots in (B). (C) Schematic of NPK-C1 model with colors representing escaping tumors (>125 mg) versus those remaining in equilibrium (<80 mg) on D24. (D) UMAP projections of CD4 Treg metaclusters and pseudocolor representations of cells from escape tumors versus equilibrium tumors. (E) Violin plot of Helios - KLRG1 + Treg frequency in escape versus equilibrium tumors. (F) Schematic of MC38 model. (G) UMAP projections of CD4 Treg metaclusters and pseudocolor representations of cells from isotype versus anti-PD-1-treated tumors. (H) Violin plot of Helios - KLRG1 + Treg frequency in isotype versus anti-PD-1 tumors on day 10 and day 13. Data were generated from one experiment of n=10–25 mice per/condition and time point.

Journal: Journal for Immunotherapy of Cancer

Article Title: KLRG1 marks tumor-infiltrating CD4 T cell subsets associated with tumor progression and immunotherapy response

doi: 10.1136/jitc-2023-006782

Figure Lengend Snippet: Association between Helios - KLRG1 + Treg frequency and tumor progression. (A) UMAP projection and FlowSOM clustering of NPK-C1 tumor Tregs, and cluster heatmap of normalized phenotypic marker expression. Pearson correlation of each cluster frequency versus tumor mass shown by heat map, and selected correlation dot plots in (B). (C) Schematic of NPK-C1 model with colors representing escaping tumors (>125 mg) versus those remaining in equilibrium (<80 mg) on D24. (D) UMAP projections of CD4 Treg metaclusters and pseudocolor representations of cells from escape tumors versus equilibrium tumors. (E) Violin plot of Helios - KLRG1 + Treg frequency in escape versus equilibrium tumors. (F) Schematic of MC38 model. (G) UMAP projections of CD4 Treg metaclusters and pseudocolor representations of cells from isotype versus anti-PD-1-treated tumors. (H) Violin plot of Helios - KLRG1 + Treg frequency in isotype versus anti-PD-1 tumors on day 10 and day 13. Data were generated from one experiment of n=10–25 mice per/condition and time point.

Article Snippet: Flow cytometry data was analyzed in FlowJo V.10.8.1 (BD; Franklin Lakes, New Jersey, USA) and high dimensional plugin algorithms UMAP and FlowSOM were downloaded from FlowJo Exchange.

Techniques: Marker, Expressing, Generated