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Vectastain elite abc detection system

Manufactured by Vector Laboratories
Sourced in United States

The Vectastain Elite ABC Detection System is a sensitive and versatile immunodetection method used to visualize antigen-antibody complexes in a variety of tissue samples. The system utilizes an avidin-biotin complex to amplify the signal, providing enhanced sensitivity compared to traditional detection methods.

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2 protocols using vectastain elite abc detection system

1

Immunohistochemical Detection of Fusion Proteins

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For detection of fusion protein expression, 3 μm thick paraffin sections were prepared. Deparaffinization and tissue staining were performed using a Benchmark Ultra IHC Staining module according to standard protocols. Primary antibodies used for analysis were: anti-NUT (clone C52B1, dilution 1:25, Cell Signaling, Frankfurt, Germany), anti-TRK A-C (EPR17341, dilution 1:10, Abcam, Berlin, Germany). Staining was visualized using the Vectastain elite ABC detection system (Vector, Burlingame, CA, USA) and using 3,3′-Diaminobenzidine (DAB, Dako; Agilent, Santa Clara, CA, USA) as chromogen. Hematoxylin was used for counterstaining of cell nuclei.
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2

Immunohistochemical Analysis of FOXP3 and CD8 Expression

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For detection of FOXP3 and CD8 protein expression, 3 μm thick paraffin sections were prepared. Deparaffinization and tissue staining were performed using a Benchmark Ultra IHC Staining module according to standard protocols (FOXP3 Monoclonal Antibody, clone 236A/E7, eBioscience, Invitrogen, Thermo Fisher Scientific Inc., Waltham, MA and CONFIRM anti-CD8 Rabbit Monoclonal Primary Antibody, clone SP57, Roche, Mannheim, Germany). Staining was visualized using the Vectastain elite ABC detection system (Vector, Burlingame, CA, USA) and using 3,3′-Diaminobenzidine (Optiview DAB IHC Detection Kit or ultraView Universal DAB Detection Kit, Ventana, Roche, Mannheim, Germany) as chromogen. Hematoxylin was used for counterstaining of cell nuclei. Evaluation and scoring were performed by an expert pathologist using the image analysis software QuPath (Open Source Digital Pathology, https://github.com/qupath).
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