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e1l3n  (Cell Signaling Technology Inc)


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    Structured Review

    Cell Signaling Technology Inc e1l3n
    E1l3n, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 98/100, based on 1811 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/e1l3n/PD-L1+XP+Rabbit+mAb/pm41923627-261-139-167
    Average 98 stars, based on 1811 article reviews
    e1l3n - by Bioz Stars, 2026-09
    98/100 stars

    Images

    Related Articles

    Clone Assay:

    Article Title: Clinical evaluation of a novel-developed clone 3E2 for the detection of PD-L1 expression status in lung adenocarcinoma.
    Article Snippet: .. Its performance was compared with that of the SP263, Cell Signaling Technology (CST) E1L3N, and Abcam 28–8 clones using immunohistochemistry on 101 LUAD samples. ..

    Immunohistochemistry:

    Article Title: Clinical evaluation of a novel-developed clone 3E2 for the detection of PD-L1 expression status in lung adenocarcinoma.
    Article Snippet: .. Its performance was compared with that of the SP263, Cell Signaling Technology (CST) E1L3N, and Abcam 28–8 clones using immunohistochemistry on 101 LUAD samples. ..

    Article Title: First-Line MET Tyrosine Kinase Inhibitors versus Immunotherapy ± Chemotherapy for Patients with MET Exon 14 Skipping Mutant Metastatic NSCLC
    Article Snippet: .. The PD-L1 TPS was determined by immunohistochemistry (IHC) by pulmonary pathologists at each center using validated anti–PD-L1 mAbs: E1L3N (Cell Signaling Technology), 22C3 (Dako North America, Inc.), 28-8 (Epitomics, Inc.), or SP263 (Ventana Medical System). ..

    Immunohistochemical staining:

    Article Title: A cytokine-based serum proteomic score is a prognostic biomarker for immunotherapy in head and neck cancer
    Article Snippet: .. PD-L1 CPS was measured by immunohistochemical quantitative analysis using Dako22C3 pharmDx TM companion diagnostic assay at Foundation Medicine or institutional assay at DFCI using E1L3N clone (Cell Signaling Technology). ..

    Article Title: A cytokine-based serum proteomic score is a prognostic biomarker for immunotherapy in head and neck cancer.
    Article Snippet: .. PD-L1 CPS was measured by immunohistochemical quantitative analysis using Dako22C3 pharmDxTM companion diagnostic assay at Foundation Medicine or institutional assay at DFCI using E1L3N clone (Cell Signaling Technology). ..

    Diagnostic Assay:

    Article Title: A cytokine-based serum proteomic score is a prognostic biomarker for immunotherapy in head and neck cancer
    Article Snippet: .. PD-L1 CPS was measured by immunohistochemical quantitative analysis using Dako22C3 pharmDx TM companion diagnostic assay at Foundation Medicine or institutional assay at DFCI using E1L3N clone (Cell Signaling Technology). ..

    Article Title: A cytokine-based serum proteomic score is a prognostic biomarker for immunotherapy in head and neck cancer.
    Article Snippet: .. PD-L1 CPS was measured by immunohistochemical quantitative analysis using Dako22C3 pharmDxTM companion diagnostic assay at Foundation Medicine or institutional assay at DFCI using E1L3N clone (Cell Signaling Technology). ..

    other:


    Article Title: Epstein-Barr virus orchestrates spatial reorganization and immunomodulation in the classic Hodgkin lymphoma tumor microenvironment.
    Article Snippet: is a co-founder of Elucidate Bio Inc, has received speaking honorariums from Cell Signaling Technology, and has received research support from Roche and Novartis unrelated to this work.



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    Cell Signaling Technology Inc pd l1 e1l3n xp rabbit mab
    Patients with Collagenous gastritis have an influx of highly activated T cells (A) CD4 + and CD8 + T cells were quantified by flow cytometry of the duodenum (top row) or stomach (bottom row). (B) Representative flow plots from (A). (C) CD4:CD8 ratio from (A). (D and E) PD-1 expression on duodenal CD8 + (D) or CD4 + T cells (E). (F and G) PD-1 expression on gastric CD8 + (F) or CD4 + T cells (G). (H) Representative CD8 and CD4 stains from tissue sections. All images at 20x objective. Scale bars 500 μm. (I) Quantification of (H) for intraepithelial (top row) or intraepithelial and stromal lymphocytes (bottom) from slides. Total cells per five high power fields (HPFs). (J) Quantification of <t>PD-L1</t> and PD-1 stained tissue sections. (K) CD4: CD8 ratio from T cells captured by scRNA-seq (see D) in CD45-sorted samples. Significance assessed by the Wilcoxon rank test. (L) Heatmap of differential gene expression comparing control patients to each CG patient sample for CD8 and CD4 scRNA-seq clusters from CD45+ sorted cells. Genes involved in T cell activation/exhaustion are shown. Dot indicates significantly different expression between a patient sample and all control controls. Data are mean ± SEM; flow percentages were compared with a Student’s t test (flow) or Wilcoxon test (histology) followed by a Benjamini-Hochberg correction. Gene expression data compared with a Benjamini-Hochberg-corrected Wilcoxon rank-sum test. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001 See also and .
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    Cell Signaling Technology Inc opal 540 e1l3n
    Patients with Collagenous gastritis have an influx of highly activated T cells (A) CD4 + and CD8 + T cells were quantified by flow cytometry of the duodenum (top row) or stomach (bottom row). (B) Representative flow plots from (A). (C) CD4:CD8 ratio from (A). (D and E) PD-1 expression on duodenal CD8 + (D) or CD4 + T cells (E). (F and G) PD-1 expression on gastric CD8 + (F) or CD4 + T cells (G). (H) Representative CD8 and CD4 stains from tissue sections. All images at 20x objective. Scale bars 500 μm. (I) Quantification of (H) for intraepithelial (top row) or intraepithelial and stromal lymphocytes (bottom) from slides. Total cells per five high power fields (HPFs). (J) Quantification of <t>PD-L1</t> and PD-1 stained tissue sections. (K) CD4: CD8 ratio from T cells captured by scRNA-seq (see D) in CD45-sorted samples. Significance assessed by the Wilcoxon rank test. (L) Heatmap of differential gene expression comparing control patients to each CG patient sample for CD8 and CD4 scRNA-seq clusters from CD45+ sorted cells. Genes involved in T cell activation/exhaustion are shown. Dot indicates significantly different expression between a patient sample and all control controls. Data are mean ± SEM; flow percentages were compared with a Student’s t test (flow) or Wilcoxon test (histology) followed by a Benjamini-Hochberg correction. Gene expression data compared with a Benjamini-Hochberg-corrected Wilcoxon rank-sum test. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001 See also and .
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    Image Search Results


    Patients with Collagenous gastritis have an influx of highly activated T cells (A) CD4 + and CD8 + T cells were quantified by flow cytometry of the duodenum (top row) or stomach (bottom row). (B) Representative flow plots from (A). (C) CD4:CD8 ratio from (A). (D and E) PD-1 expression on duodenal CD8 + (D) or CD4 + T cells (E). (F and G) PD-1 expression on gastric CD8 + (F) or CD4 + T cells (G). (H) Representative CD8 and CD4 stains from tissue sections. All images at 20x objective. Scale bars 500 μm. (I) Quantification of (H) for intraepithelial (top row) or intraepithelial and stromal lymphocytes (bottom) from slides. Total cells per five high power fields (HPFs). (J) Quantification of PD-L1 and PD-1 stained tissue sections. (K) CD4: CD8 ratio from T cells captured by scRNA-seq (see D) in CD45-sorted samples. Significance assessed by the Wilcoxon rank test. (L) Heatmap of differential gene expression comparing control patients to each CG patient sample for CD8 and CD4 scRNA-seq clusters from CD45+ sorted cells. Genes involved in T cell activation/exhaustion are shown. Dot indicates significantly different expression between a patient sample and all control controls. Data are mean ± SEM; flow percentages were compared with a Student’s t test (flow) or Wilcoxon test (histology) followed by a Benjamini-Hochberg correction. Gene expression data compared with a Benjamini-Hochberg-corrected Wilcoxon rank-sum test. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001 See also and .

    Journal: iScience

    Article Title: Cellular and molecular profiling of collagenous gastritis implicates pathogenic CD4 + T cells

    doi: 10.1016/j.isci.2025.114344

    Figure Lengend Snippet: Patients with Collagenous gastritis have an influx of highly activated T cells (A) CD4 + and CD8 + T cells were quantified by flow cytometry of the duodenum (top row) or stomach (bottom row). (B) Representative flow plots from (A). (C) CD4:CD8 ratio from (A). (D and E) PD-1 expression on duodenal CD8 + (D) or CD4 + T cells (E). (F and G) PD-1 expression on gastric CD8 + (F) or CD4 + T cells (G). (H) Representative CD8 and CD4 stains from tissue sections. All images at 20x objective. Scale bars 500 μm. (I) Quantification of (H) for intraepithelial (top row) or intraepithelial and stromal lymphocytes (bottom) from slides. Total cells per five high power fields (HPFs). (J) Quantification of PD-L1 and PD-1 stained tissue sections. (K) CD4: CD8 ratio from T cells captured by scRNA-seq (see D) in CD45-sorted samples. Significance assessed by the Wilcoxon rank test. (L) Heatmap of differential gene expression comparing control patients to each CG patient sample for CD8 and CD4 scRNA-seq clusters from CD45+ sorted cells. Genes involved in T cell activation/exhaustion are shown. Dot indicates significantly different expression between a patient sample and all control controls. Data are mean ± SEM; flow percentages were compared with a Student’s t test (flow) or Wilcoxon test (histology) followed by a Benjamini-Hochberg correction. Gene expression data compared with a Benjamini-Hochberg-corrected Wilcoxon rank-sum test. ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001 See also and .

    Article Snippet: PD-L1 (E1L3N®) XP® Rabbit mAb , Cell Signaling Technology , #13684S; RRID: AB_2687655.

    Techniques: Flow Cytometry, Expressing, Staining, Gene Expression, Control, Activation Assay