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Mouse monoclonal anti cd8 c8144b antibody

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Mouse monoclonal anti-CD8 (C8144B) antibody is a laboratory reagent used for the detection and identification of CD8-positive cells in various applications such as flow cytometry and immunohistochemistry.

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Lab products found in correlation

Iview dab detection kit, by Roche (2 mentions) Rabbit monoclonal anti cd4 sp35 antibody, by Roche (2 mentions) Anti cd163 10d6 antibody, by Leica (2 mentions) Ventana benchmark ultra, by Roche (2 mentions) Ventana iscan ht, by Roche (2 mentions) Bond max, by Leica (2 mentions) Bond polymer refine detection kit, by Leica (2 mentions) Ventana virtuoso software, by Roche (2 mentions)

2 protocols using mouse monoclonal anti cd8 c8144b antibody

1

Automated Immunohistochemistry Staining of Tissue Sections

Check if the same lab product or an alternative is used in the 5 most similar protocols
Formalin-fixed, paraffin-embedded 5 μm tissue sections were stained in batches for CD4, CD8, and CD163 in a central laboratory at the Johns Hopkins Hospital according to standard automated protocols. Deparaffinization and rehydration were performed, followed by antigen retrieval and antibody staining. CD4 and CD8IHC was performed using the Ventana Benchmark Ultra autostaining system (Roche) using mouse monoclonal anti-CD8 (C8144B) antibody (Cell marque) and rabbit monoclonal anti-CD4(Sp35) antibody (Roche), followed by detection with the iVIEW DAB Detection Kit (Roche). CD163 IHC was performed on the Leica Bond MAX autostaining system (Leica Biosystems) using anti-CD163 (10D6) antibody (Leica Biosystems) followed by detection with Bond Polymer Refine Detection kit (Leica Biosystems). For tissue section imaging, slides were imaged using a Ventana iScan HT slide scanner (Roche) and processed using the Ventana Virtuoso software (Roche) (Figure S6D).
Clark D.J., Dhanasekaran S.M., Petralia F., Pan J., Song X., Hu Y., da Veiga Leprevost F., Reva B., Lih T.S., Chang H.Y., Ma W., Huang C., Ricketts C.J., Chen L., Krek A., Li Y., Rykunov D., Li Q.K., Chen L.S., Ozbek U., Vasaikar S., Wu Y., Yoo S., Chowdhury S., Wyczalkowski M.A., Ji J., Schnaubelt M., Kong A., Sethuraman S., Avtonomov D.M., Ao M., Colaprico A., Cao S., Cho K.C., Kalayci S., Ma S., Liu W., Ruggles K., Calinawan A., Gümüş Z.H., Geiszler D., Kawaler E., Teo G.C., Wen B., Zhang Y., Keegan S., Li K., Chen F., Edwards N., Pierorazio P.M., Chen X.S., Pavlovich C.P., Hakimi A.A., Brominski G., Hsieh J.J., Antczak A., Omelchenko T., Lubinski J., Wiznerowicz M., Linehan W.M., Kinsinger C.R., Thiagarajan M., Boja E.S., Mesri M., Hiltke T., Robles A.I., Rodriguez H., Qian J., Fenyö D., Zhang B., Ding L., Schadt E., Chinnaiyan A.M., Zhang Z., Omenn G.S., Cieslik M., Chan D.W., Nesvizhskii A.I., Wang P, & Zhang H. (2019). Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma. Cell, 179(4), 964-983.e31.
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2

Automated Immunohistochemistry Staining of Tissue Sections

Check if the same lab product or an alternative is used in the 5 most similar protocols
Formalin-fixed, paraffin-embedded 5 μm tissue sections were stained in batches for CD4, CD8, and CD163 in a central laboratory at the Johns Hopkins Hospital according to standard automated protocols. Deparaffinization and rehydration were performed, followed by antigen retrieval and antibody staining. CD4 and CD8IHC was performed using the Ventana Benchmark Ultra autostaining system (Roche) using mouse monoclonal anti-CD8 (C8144B) antibody (Cell marque) and rabbit monoclonal anti-CD4(Sp35) antibody (Roche), followed by detection with the iVIEW DAB Detection Kit (Roche). CD163 IHC was performed on the Leica Bond MAX autostaining system (Leica Biosystems) using anti-CD163 (10D6) antibody (Leica Biosystems) followed by detection with Bond Polymer Refine Detection kit (Leica Biosystems). For tissue section imaging, slides were imaged using a Ventana iScan HT slide scanner (Roche) and processed using the Ventana Virtuoso software (Roche) (Figure S6D).
Clark D.J., Dhanasekaran S.M., Petralia F., Pan J., Song X., Hu Y., da Veiga Leprevost F., Reva B., Lih T.S., Chang H.Y., Ma W., Huang C., Ricketts C.J., Chen L., Krek A., Li Y., Rykunov D., Li Q.K., Chen L.S., Ozbek U., Vasaikar S., Wu Y., Yoo S., Chowdhury S., Wyczalkowski M.A., Ji J., Schnaubelt M., Kong A., Sethuraman S., Avtonomov D.M., Ao M., Colaprico A., Cao S., Cho K.C., Kalayci S., Ma S., Liu W., Ruggles K., Calinawan A., Gümüş Z.H., Geiszler D., Kawaler E., Teo G.C., Wen B., Zhang Y., Keegan S., Li K., Chen F., Edwards N., Pierorazio P.M., Chen X.S., Pavlovich C.P., Hakimi A.A., Brominski G., Hsieh J.J., Antczak A., Omelchenko T., Lubinski J., Wiznerowicz M., Linehan W.M., Kinsinger C.R., Thiagarajan M., Boja E.S., Mesri M., Hiltke T., Robles A.I., Rodriguez H., Qian J., Fenyö D., Zhang B., Ding L., Schadt E., Chinnaiyan A.M., Zhang Z., Omenn G.S., Cieslik M., Chan D.W., Nesvizhskii A.I., Wang P, & Zhang H. (2019). Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma. Cell, 179(4), 964-983.e31.
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