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Anti human cd133 apc

Manufactured by BD
Sourced in United States

Anti‐human CD133‐APC is a fluorochrome‐conjugated antibody that binds to the CD133 cell surface antigen. CD133 is a pentaspan transmembrane glycoprotein that is expressed on various stem and progenitor cell populations. This product can be used for the detection and analysis of CD133‐positive cells in flow cytometry applications.

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2 protocols using anti human cd133 apc

1

Characterizing CTCs in Colorectal Cancer

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Peripheral blood samples were obtained from CRC patients attending our department and an informed consent was obtained from all the individuals. Peripheral blood samples were collected and prepared as per the protocol described in our previous report 19. In detail, CTCs from cell suspensions were characterized by multiparameter flow cytometry. The antibodies used in this study included anti‐human CD133‐APC, CD44‐FITC, CD54‐PErcp‐cy5.5, CD54‐PE, and CD45‐BV510 (all antibodies were purchased from BD Biosciences, San Diego, CA, USA). DAPI was used to identify and sort the dead cells. The remaining steps were the same as the protocol described in our previous report 19. The absolute CTCs or antibody‐positive cell numbers were derived from the absolute number of white blood cells provided by the hematological analyzer, and the percentage of CTCs or antibody‐positive cells was determined by flow cytometry, using the following formula: percentage of cells × white blood cells count/100.
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2

Multiparameter Flow Cytometry of CTCs

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CTCs from cells suspension were characterized by multiparameter flow cytometry. The antibodies used in this study include: anti-human CD133-APC, CD44-FITC, CD44-APC-Cy7, CD54-PErcp-cy5.5, CD54-PE, CD24-PE/Cy7, CD10-PECF594, CD26-PE, CD166-Percp-cy5.5, CD45-BV510, CD58-PE, CD66-PE, CD71-PE, CD117-PE, EPCAM-Percp-cy5.5, and EGFR-PE (all of the above-mentioned antibodies were purchased from BD Biosciences). DAPI was used to identify the dead cells. Evaluation of nucleated cells from whole cells suspensions was carried out using a FACS Canto Flow Cytometer (BD Biosciences) and data were analyzed using BD FACS Diva software. A range of internal quality assurance procedures was employed, including daily calibration of the optical alignment and fluidic stability of the flow cytometer using the seven-color Set-up Beads (BD Biosciences). The absolute CTCs or antibody-positive cell number was derived from the absolute number of the white blood cells provided by the hematological analyzer and percentage of CTCs or antibody-positive cell as determined by flow cytometry, using the following formula: percentage of cells × white blood cells count/100.
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