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Anti foxp3 clone 236a e7

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Anti-FoxP3 clone 236A/E7 is a mouse monoclonal antibody that recognizes the Forkhead box P3 (FoxP3) protein. FoxP3 is a transcription factor that plays a critical role in the development and function of regulatory T cells. This antibody can be used for the identification and characterization of FoxP3-expressing cells in various research applications.

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Lab products found in correlation

Anti cd8 clone c8 144b, by Agilent Technologies (2 mentions) Anti cd163 clone 10d6, by Leica (2 mentions) Anti cd3 polyclonal, by Agilent Technologies (1 mentions) Anti ki67 clone sp6, by Abcam (1 mentions) Tsa cy3, by PerkinElmer (1 mentions) Anti cytokeratin clone ae1 ae3, by Agilent Technologies (1 mentions) Inform software, by PerkinElmer (1 mentions) Tsa fitc, by PerkinElmer (1 mentions) Anti pd l1 clone e1l3n, by Cell Signaling Technology (1 mentions) Tsa cy5, by PerkinElmer (1 mentions) Dako autostainer plus, by Agilent Technologies (1 mentions) Anti pd 1 clone nat105, by Abcam (1 mentions) Anti cd3 clone ln10, by Leica (1 mentions) Anti pd l1 clone sp263, by Roche (1 mentions)

Close spelling variants of this product

Anti-FOXP3 (49 citations) FOXP3 (clone 236A/E7, (15 citations) Clone 236A/E7 (13 citations) FoxP3 (236A/E7, (10 citations) Anti-Foxp3 (236A/E7, (5 citations) Anti-E7 (2 citations) Anti-FoxP3-antibody clone 236A/E7 (2 citations)

3 protocols using anti foxp3 clone 236a e7

1

Spatial Immune Profiling of Tumors

Cited 1 time
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Additional spatial immune profiling was performed with multiplex immunofluorescence staining in a subset of the tumors (n = 30) by a previously described method (10 (link)). In short, the OPAL 7-color fluorescence immunohistochemistry (IHC) kit (Akoya Biosciences, USA) was used following the manufacturer’s instructions to stain for human cytokeratin (anti-CK, clone AE1/AE3 (Dako)), CD8+ cells (Anti CD8 clone C8/144B (Dako)), CD3+ cells (anti-CD3 polyclonal (Dako)), FoxP3 + cells (anti-FoxP3 clone 236A/E7 (Abcam)), CD163+ cells (anti-CD163 clone 10D6 (Novocastra)) and Ki67+ cells (anti-Ki67 clone SP6 (Abcam)). Slides were stored at 4°C until imaging. Whole slide and multispectral imaging were done using the Vectra® Polaris™ multispectral scanning microscope (Akoya Biosciences, USA). Multispectral images were unmixed and analyzed per tumor case in INFORM® (Akoya Biosciences, USA). All data was exported for analysis with the phenoptrReports package (Akoya Biosciences, USA) in RStudio (RStudio, Inc., Boston, MA, USA).
Groen-van Schooten T.S., Harrasser M., Seidel J., Bos E.N., Fleitas T., van Mourik M., Pouw R.E., Goedegebuure R.S., Doeve B.H., Sanders J., Bos J., van Berge Henegouwen M.I., Thijssen V.L., van Grieken N.C., van Laarhoven H.W., de Gruijl T.D, & Derks S. (2024). Phenotypic immune characterization of gastric and esophageal adenocarcinomas reveals profound immune suppression in esophageal tumor locations. Frontiers in Immunology, 15, 1372272.
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2

Multiplex IHC for Tumor Infiltrating Immune Cells

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Tissue sections were cut at 4 μm from FFPE blocks. All the sections were deparaffinized and subjected to heat-induced epitope retrieval in citrate buffer pH 9.0 (Biogenex). Six-plex panel IHC was performed for each tissue slide using the following antibodies: anti-FoxP3 (clone 236A/E7, dilution 1:100, Abcam), anti-PD-L1 (clone E1L3N, dilution 1:250, Cell Signaling Technology), anti-CD8 (clone SP16, dilution 1:50, Spring Bioscience), anti-CD3 (clone SP7, dilution 1:50, Spring Bioscience), anti-CD163 (clone MRQ26, Ventana), anti-Cytokeratin (clone AE1/AE3, dilution 1:100, DAKO). Antigen–antibody binding was visualized with TSA-Cy5 (PerkinElmer), TSA-Cy3 (PerkinElmer), TSA-FITC (PerkinElmer), TSA-Alexa594, TSA-Cy5.5 (PerkinElmer), and TSA-Coumarin (PerkinElmer), respectively.
Digital images were captured with PerkinElmer Vectra platform. Tumor areas with the highest immune cell (CD3+CD8+) infiltrates were scanned at 20X and selected for analysis in a blinded fashion. Three images of 0.36-mm2 each were analyzed per sample with InForm Software (PerkinElmer). Hematoxylin and eosin staining was performed on for each sample and reviewed by a pathologist to ensure a representative tissue sample.
Algazi A.P., Twitty C.G., Tsai K.K., Le M., Pierce R., Browning E., Hermiz R., Canton D.A., Bannavong D., Oglesby A., Francisco M., Fong L., Pittet M.J., Arlauckas S.P., Garris C., Levine L.P., Bifulco C., Ballesteros-Merino C., Bhatia S., Gargosky S., Andtbacka R.H., Fox B.A., Rosenblum M.D, & Daud A.I. (2020). Phase II Trial of IL-12 Plasmid Transfection and PD-1 Blockade in Immunologically Quiescent Melanoma. Clinical cancer research : an official journal of the American Association for Cancer Research, 26(12), 2827-2837.
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3

Immune Checkpoint and Infiltration Analysis in CLL and RS

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Expression of the immune checkpoint molecules in CLL and RS lymph node samples was analyzed by IHC staining using antibodies specific for PD-L1 and PD1. Immune cell infiltration in CLL and RS lymph node samples was assessed by IHC staining using antibodies specific for CD3, CD8, FOXP3, and CD163. IHC staining was done on 4-μm FFPE sections on DAKO Autostainer Plus (Agilent, Santa Clara, CA) using standard protocol17 (link),20 (link). The antibodies used include anti-PD-L1 (clone SP263, Ventana Medical Systems, Inc., Tucson, AZ), anti-PD1 (clone NAT105, Abcam, Inc., Cambridge, MA), anti-CD3 (clone LN10, Leica Biosystems, Newcastle Upon Tyne, UK), anti-CD8 (clone C8/144B, Dako, Carpenteria, CA), anti-FOXP3 (clone 236A/E7, Abcam, Inc., Cambridge, MA), and anti-CD163 (clone10D6, Leica Biosystems, Newcastle Upon Tyne, UK). IHC images were taken using whole slide imaging technology with MoticEasyScan Pro (Motic digital pathology, San Francisco, CA), and saved in tagged image file format. Percentage of expression for each individual antigen was calculated by dividing number of cells with positive staining by number of total cells in the image using the Image-Pro premier 3D 9.1.4 software (Media Cybernetics, Silver Spring, MD).
Wang Y., Sinha S., Wellik L.E., Secreto C.R., Rech K.L., Call T.G., Parikh S.A., Kenderian S.S., Muchtar E., Hayman S.R., Koehler A.B., Van Dyke D.L., Leis J.F., Slager S.L., Dong H., Kay N.E., He R, & Ding W. (2021). Distinct immune signatures in chronic lymphocytic leukemia and Richter syndrome. Blood Cancer Journal, 11(5), 86.
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