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<t>Cell</t> <t>surface</t> <t>marker</t> identification. a Sankey diagram of workflow illustrating methods used to identify TIL compartment specific cell surface markers. Sensitivity and Specificity based analysis of putative cell surface markers across the TIL compartments using b Stem-Like, c Dysfunctional Effectors, or d GZMK+ Effectors as the group of interest. e 2D density plots demonstrating GZMK and GZMB in the compartments of interest. f Expression KLRG1 , ENTPD1 , and CD55 compared to all other compartments
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Cell surface marker identification. a Sankey diagram of workflow illustrating methods used to identify TIL compartment specific cell surface markers. Sensitivity and Specificity based analysis of putative cell surface markers across the TIL compartments using b Stem-Like, c Dysfunctional Effectors, or d GZMK+ Effectors as the group of interest. e 2D density plots demonstrating GZMK and GZMB in the compartments of interest. f Expression KLRG1 , ENTPD1 , and CD55 compared to all other compartments

Journal: Journal of Cancer Research and Clinical Oncology

Article Title: KLRG1 defines a distinct tumor-infiltrating granzyme K+ CD8 + T cell population

doi: 10.1007/s00432-026-06450-8

Figure Lengend Snippet: Cell surface marker identification. a Sankey diagram of workflow illustrating methods used to identify TIL compartment specific cell surface markers. Sensitivity and Specificity based analysis of putative cell surface markers across the TIL compartments using b Stem-Like, c Dysfunctional Effectors, or d GZMK+ Effectors as the group of interest. e 2D density plots demonstrating GZMK and GZMB in the compartments of interest. f Expression KLRG1 , ENTPD1 , and CD55 compared to all other compartments

Article Snippet: We first identified all differentially expressed genes specific to each compartment, then cross-referenced these with a curated cell surface marker database (Bausch-Fluck et al. ), yielding 175 potential candidates across the three populations of interest (Fig. A).

Techniques: Marker, Expressing

Surface marker validation a General flow gating strategy to identify CD3 + CD8+ TIL population from tumor suspensions and subsequent b surface and granzyme staining of each major TIL compartment in a representative patient sample. c Cell type proportion based on cell surface marker staining. d Median Fluorescence Intensity (MFI) of CD55 between granzyme negative cells vs. granzyme positive cells. e MFI of CD39 between GZMB- and GZMB+ cells. f MFI of KLRG1 between GZMK- and GZMK+ cells. g Fold enrichment of granzyme specific cell types following gating, with CD55 + cells enriching for granzyme negative cells, CD39 enriching for GZMB+ cells, and KLRG1 enriching for GZMK+ cells. h Scatter plot demonstrating correlation between original cell surface marker defined proportion of each cell type and the fold enrichment for the phenotypic cell type

Journal: Journal of Cancer Research and Clinical Oncology

Article Title: KLRG1 defines a distinct tumor-infiltrating granzyme K+ CD8 + T cell population

doi: 10.1007/s00432-026-06450-8

Figure Lengend Snippet: Surface marker validation a General flow gating strategy to identify CD3 + CD8+ TIL population from tumor suspensions and subsequent b surface and granzyme staining of each major TIL compartment in a representative patient sample. c Cell type proportion based on cell surface marker staining. d Median Fluorescence Intensity (MFI) of CD55 between granzyme negative cells vs. granzyme positive cells. e MFI of CD39 between GZMB- and GZMB+ cells. f MFI of KLRG1 between GZMK- and GZMK+ cells. g Fold enrichment of granzyme specific cell types following gating, with CD55 + cells enriching for granzyme negative cells, CD39 enriching for GZMB+ cells, and KLRG1 enriching for GZMK+ cells. h Scatter plot demonstrating correlation between original cell surface marker defined proportion of each cell type and the fold enrichment for the phenotypic cell type

Article Snippet: We first identified all differentially expressed genes specific to each compartment, then cross-referenced these with a curated cell surface marker database (Bausch-Fluck et al. ), yielding 175 potential candidates across the three populations of interest (Fig. A).

Techniques: Marker, Biomarker Discovery, Staining, Fluorescence