Antibody data
- Antibody Data
- Antigen structure
- References [1]
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- Product number
- 14-9000-80 - Provider product page
- Provider
- Invitrogen Antibodies
- Product name
- Anti-Cytokeratin Pan Type II Monoclonal Antibody (AE3), eBioscience™
- Antibody type
- Monoclonal
- Antigen
- Other
- Description
- Description: The monoclonal antibody AE3 recognizes many members of the basic (Type II) cytokeratin family. Cytokeratins are intermediate filament proteins comprising one component of the cytoskeleton. There are two large families of cytokeratins, acidic and basic, but all contain the same basic domains (i.e. an alpha-helical core with an N- and C-terminal domain). The proteins are expressed in epithelial cells, but are developmentally regulated. Many tumors also express these cytokeratins, and their expression can help identify the origin of a neoplasm. The AE3 monoclonal antibody recognizes the 65 to 67 triplet, 64, 59, 58, 56, 54 and 52kD proteins (also known as cytokeratin 1, 2, 3, 4, 5, 6, 7 and 8) in mouse, human, rat, primate (cynomolgus and rhesus), dog, cat, rabbit and chicken. Applications Reported: This AE3 antibody has been reported for use in western blotting, immunohistochemical staining of frozen tissue sections, immunohistochemical staining of formalin-fixed paraffin embedded tissue sections, immunohistochemical staining, and immunocytochemistry. Applications Tested: This AE3 antibody has been by tested western blot on SDS-reduced lysates from MCF7 cells at less than or equal to 2 µg/mL. It is recommended that the antibody be titrated for optimal performance in the assay of interest. Purity: Greater than 90%, as determined by SDS-PAGE. Aggregation: Less than 10%, as determined by HPLC. Filtration: 0.2 µm post-manufacturing filtered.
- Reactivity
- Human, Mouse, Canine, Chicken/Avian, Rabbit
- Host
- Mouse
- Isotype
- IgG
- Antibody clone number
- AE3
- Vial size
- 25 µg
- Concentration
- 0.5 mg/mL
- Storage
- 4° C
Submitted references Flow cytometry dataset for cells collected from touched surfaces.
Kwon YJ, Stanciu CE, Philpott MK, Ehrhardt CJ
F1000Research 2016;5:390
F1000Research 2016;5:390
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