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Anti cd133 1 ac133 pe

Manufactured by Miltenyi Biotec
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Anti-CD133/1(AC133) PE is a fluorochrome-conjugated monoclonal antibody that binds to the CD133/1 (AC133) antigen. CD133 is a cell surface marker expressed on various types of stem and progenitor cells.

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Lab products found in correlation

Facscalibur, by BD (1 mentions) Cellquest software, by BD (1 mentions) Anti epcam fitc, by BD (1 mentions) Facsaria 2, by BD (1 mentions) Facsdiva software, by BD (1 mentions) Lsr 2, by BD (1 mentions)

Spelling variants of this product

CD133 (122 citations) CD133-PE (52 citations) Anti-CD133 (35 citations) Anti-CD133-PE (22 citations) AC133 (16 citations) CD133/1-PE (10 citations) CD133/1(AC133)-PE (6 citations) Anti-CD133/1-PE (3 citations) Anti-CD133/1 (AC133)-PE antibody (3 citations) Anti-CD133/1-PE (AC133 clone; (2 citations)

2 protocols using anti cd133 1 ac133 pe

1

Quantification of Cancer Stem Cells

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To detect CD133 and EpCAM double positive CSC, the isolated mononuclear cells were incubated with FcR blocking reagents, and the mixture was stained using anti-EpCAM FITC (BD biosciences, San Jose, CA, USA) and anti-CD133/1(AC133) PE (Miltenyi Biotec GmbH, Bergisch Gladbach, Germany) antibodies for 30 minutes at 4℃. The expressions of CD133 and EpCAM were quantitatively measured by FACS Calibur (BD biosciences) and analyzed by CellQuest software (BD biosciences).
Park B.S., Jung S.Y., Kwon S.M., Bae J.H., Lee S.M., Shin D.H, & Son G.M. (2014). Comparison of putative circulating cancer stem cell detection between the hepatic portal system and peripheral blood in colorectal cancer patients. Annals of Surgical Treatment and Research, 87(5), 232-238.
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2

CD133+ Cell Isolation and Analysis

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Matched subpopulations were separated as described previously [39] (link), [40] (link). In brief, cells were stained at a concentration of 107 cells per 100 µl of buffer. Anti-CD133/1(AC133)-PE (MiltenyiBiotec) antibody was used for flow cytometric sorting/assay. For all experiments, samples were sorted on a BD FACS Aria II and analyzed on a BD LSR II flow cytometer using BD FACS Diva Software (BD Bioscience). Side scatter and forward scatter profiles were used to eliminate debris and cell doublets.
Wang W., Quan Y., Fu Q., Liu Y., Liang Y., Wu J., Yang G., Luo C., Ouyang Q, & Wang Y. (2014). Dynamics between Cancer Cell Subpopulations Reveals a Model Coordinating with Both Hierarchical and Stochastic Concepts. PLoS ONE, 9(1), e84654.
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