Infiltration of total leukocytes, T, B, CD8+ T cells and NK cells was analyzed immunohistochemically on FFPE tumor sections using the Automated Immunostainer. The following antibodies were used: mouse anti-human CD45 (1:200, Dako), rabbit anti-human CD3 (1:400, Dako), mouse anti-human CD20 (1:400, Dako), mouse anti-human CD8 (1:200, Dako), and mouse anti-human CD56 (1:400, NeoMarkers, Fremont, CA), respectively. Antigen retrieval was carried out using the Target Retrieval Solution pH9 (Dako). Immunoreactions were visualized using streptavidin-biotin-peroxidase, followed by counterstaining with Carazzi hematoxylin. Stained slides were digitized by a slide scanner (ImageScope XT, Aperio), and the virtual slides were subsequently evaluated using the ‘positive pixel count’ algorithm of Aperio ImageScope. The percentage of positive stromal cells was calculated as the number of positive pixels/μm2. Data were divided into two groups (positive and negative) using median value as cut-off.
Rabbit anti human cd3
Rabbit anti-human CD3 is a primary antibody used for the detection and analysis of CD3-positive cells in various research applications. The antibody specifically binds to the CD3 complex, which is expressed on the surface of T lymphocytes. This product can be used in techniques such as flow cytometry, immunohistochemistry, and Western blotting to identify and quantify T cell populations.
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11 protocols using rabbit anti human cd3
Stromal Immune Infiltration Analysis
Infiltration of total leukocytes, T, B, CD8+ T cells and NK cells was analyzed immunohistochemically on FFPE tumor sections using the Automated Immunostainer. The following antibodies were used: mouse anti-human CD45 (1:200, Dako), rabbit anti-human CD3 (1:400, Dako), mouse anti-human CD20 (1:400, Dako), mouse anti-human CD8 (1:200, Dako), and mouse anti-human CD56 (1:400, NeoMarkers, Fremont, CA), respectively. Antigen retrieval was carried out using the Target Retrieval Solution pH9 (Dako). Immunoreactions were visualized using streptavidin-biotin-peroxidase, followed by counterstaining with Carazzi hematoxylin. Stained slides were digitized by a slide scanner (ImageScope XT, Aperio), and the virtual slides were subsequently evaluated using the ‘positive pixel count’ algorithm of Aperio ImageScope. The percentage of positive stromal cells was calculated as the number of positive pixels/μm2. Data were divided into two groups (positive and negative) using median value as cut-off.
Quantifying Immune Cell Subsets in Skin Biopsies
Multiplex Immunofluorescence Profiling of Hodgkin Lymphoma
Quantification of Intestinal Immune Cells
Quantifying Immune Cell Types in Skin Tissue
Immunohistochemical Analysis of Yellow Fever Virus
Multicolor Immunofluorescence of FFPE Tissues
Quantifying Tumor Angiogenesis and Vessel Morphology
For quantification, 5 random 10× magnification pictures were taken of each slide and the area of CD31+ structures, number of visible lumens, vessels, and vessels > 100 μm was counted. Values for each of the 5 sections were averaged to obtain one value for each tumor. Individual averages for all tumors within a treatment group were then averaged to determine the group average and SEM.
Immunohistochemical Analysis of Skin Biopsies
Immunohistochemistry of CD3 and CD45
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