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Cd45ro clone uchl1

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The CD45RO clone UCHL1 is a laboratory-grade monoclonal antibody that specifically recognizes the CD45RO isoform of the CD45 protein. The CD45 protein is a common leukocyte antigen expressed on the surface of various immune cells, and the CD45RO isoform is associated with memory T cells. This antibody can be used in various immunological and cell biology applications to identify and study CD45RO-positive cells.

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Lab products found in correlation

Cd4 clone 4b12, by Leica (2 mentions) Granzyme b clone f1, by Leica (2 mentions) Aperio at2 automated slide scanner, by Leica (2 mentions) Bond polymer refine detection kit, by Leica (2 mentions) Pd l1 clone e1l3n, by Cell Signaling Technology (2 mentions) Cd3 polyclonal, by Agilent Technologies (2 mentions) Cd8 clone c8 144b, by Thermo Fisher Scientific (2 mentions) Pd 1 clone epr4877 2, by Abcam (2 mentions) Foxp3 clone 206d, by BioLegend (2 mentions)

2 protocols using cd45ro clone uchl1

1

Immune Profiling of Tumor Tissue

Cited 2 times
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Tumor tissue was fixed in formalin and embedded in paraffin. For immunohistochemical staining, tissue was cut and mounted at a thickness of 4 μm per slide. Slides were then stained with CD3 polyclonal (1:100, DAKO), CD4 clone 4B12 (1:80, Leica Biosystems), CD8 clone C8/144B (1:25, Thermo Scientific), PD-L1 clone E1L3N (1:100, Cell Signaling Technology), PD-1 clone EPR4877-2 (1:250, Abcam), CD45RO clone UCHL1 (ready-to- use, Leica Biosystems), FoxP3 clone 206D (1:50, BioLegend), and Granzyme B clone F1 (ready-to-use, Leica Biosystems) [36 (link)] antibodies. Slides were then stained using diaminobenzidine as chromogen and the Leica Bond Polymer refine detection kit (Leica Biosystems). Slides were then counterstained with hematoxylin and scanned using an Aperio AT2 automated slide scanner (Leica Biosystems). Quantification was performed on 5 × 1 mm2 regions per tumor sample within the tumor center and measuring the average density of positive cells per region as a count of positive cells/mm2. For PD-L1, tumor proportion score was calculated by manual quantification with percentage between 0 and 100 % [37 (link)].
Akhave N., Zhang J., Bayley E., Frank M., Chiou S.H., Behrens C., Chen R., Hu X., Parra E.R., Lee W.C., Swisher S., Solis L., Weissferdt A., Moran C., Kalhor N., Zhang J., Scheet P., Vaporciyan A.A., Sepesi B., Gibbons D.L., Heymach J.V., Lee J.J., Wistuba I.I., Futreal P.A., Zhang J., Fujimoto J, & Reuben A. (2022). Immunogenomic profiling of lung adenocarcinoma reveals poorly differentiated tumors are associated with an immunogenic tumor microenvironment. Lung cancer (Amsterdam, Netherlands), 172, 19-28.
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2

Quantitative Immunohistochemistry of Tumor Immune Markers

Cited 1 time
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Tumor tissue was fixed in formalin and embedded in paraffin. For immunohistochemical staining, tissue was cut and mounted at a thickness of 4μm per slide. Slides were then stained with CD3 polyclonal (1:100, DAKO), CD4 clone 4B12 (1:80, Leica Biosystems), CD8 clone C8/144B (1:25, Thermo Scientific), PD-L1 clone E1L3N (1:100, Cell Signaling Technology), PD-1 clone EPR4877-2 (1:250, Abcam), CD45RO clone UCHL1 (ready-to-use, Leica Biosystems), FoxP3 clone 206D (1:50, BioLegend), and Granzyme B clone F1 (ready-to-use, Leica Biosystems)18 (link). Slides were then stained using diaminobenzidine as chromogen and the Leica Bond Polymer refine detection kit (Leica Biosystems). Slides were then counterstained with hematoxylin and scanned using an Aperio AT2 automated slide scanner (Leica Biosystems). Quantification was performed on 5 × 1 mm2 regions per tumor sample within the tumor center and measuring the average density of positive cells per region as a count of positive cells/mm2. For PD-L1, H-score was calculated by multiplying the proportion of positive cells in the sample (0–100%) by the intensity of staining (1+, 2+, or 3+) to obtain a score ranging between 1 and 300.
Reuben A., Zhang J., Chiou S.H., Gittelman R.M., Li J., Lee W.C., Fujimoto J., Behrens C., Liu X., Wang F., Quek K., Wang C., Kheradmand F., Chen R., Chow C.W., Lin H., Bernatchez C., Jalali A., Hu X., Wu C.J., Eterovic A.K., Parra E.R., Yusko E., Emerson R., Benzeno S., Vignali M., Wu X., Ye Y., Little L.D., Gumbs C., Mao X., Song X., Tippen S., Thornton R.L., Cascone T., Snyder A., Wargo J.A., Herbst R., Swisher S., Kadara H., Moran C., Kalhor N., Zhang J., Scheet P., Vaporciyan A.A., Sepesi B., Gibbons D.L., Robins H., Hwu P., Heymach J.V., Sharma P., Allison J.P., Baladandayuthapani V., Lee J.J., Davis M.M., Wistuba I.I., Futreal P.A, & Zhang J. (2020). Comprehensive T cell repertoire characterization of non-small cell lung cancer. Nature Communications, 11, 603.
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