FGF-23 Antibody / Fibroblast Growth Factor 23, Clone: [FGF23/638], Mouse, Monoclonal

Artikelnummer: NSJ-V2301-100UG
Artikelname: FGF-23 Antibody / Fibroblast Growth Factor 23, Clone: [FGF23/638], Mouse, Monoclonal
Artikelnummer: NSJ-V2301-100UG
Hersteller Artikelnummer: V2301-100UG
Alternativnummer: NSJ-V2301-100UG
Hersteller: NSJ Bioreagents
Wirt: Mouse
Kategorie: Antikörper
Applikation: ELISA, Functional Studies
Spezies Reaktivität: Human
Immunogen: A recombinant human FGF-23 protein was used as the immunogen for this antibody.
Fibroblast growth factor-1 (FGF-1), also designated acidic FGF, and fibroblast growth factor-2 (FGF-2), also designated basic FGF, are members of a family of growth factors that stimulate proliferation of cells of mesenchymal, epithelial and neuroectodermal origin. Additional members of the family include the oncogenes FGF3 (Int2) and FGF4 (hst/Kaposi), FGF5, FGF6, FGF7 (KGF), FGF8 (AIGF), FGF9 (GAF) and FGF10 through FGF-23. Members of the family share 30-55% amino acid sequence identity and similar gene structure, and are capable of transforming cultured cells when overexpressed in trans- fected cells. Cellular receptors for FGFs are members of a second multigene family, including four tyrosine kinases designated Flg (FGFR-1), Bek (FGFR-L), TKF and FGFR-3.
Klonalität: Monoclonal
Konzentration: 0.2 mg/ml in 1X PBS with 0.1 mg/ml BSA (US sourced) and 0.05% sodium azide
Klon-Bezeichnung: [FGF23/638]
Isotyp: Mouse IgG1, kappa
NCBI: 8074
Puffer: 1X PBS, pH 7.4
Reinheit: Protein G purified
Formulierung: 0.2 mg/ml in 1X PBS with 0.1 mg/ml BSA (US sourced) and 0.05% sodium azide
Target-Kategorie: Fibroblast Growth Factor 23 / FGF-23
Antibody Type: Primary Antibody
Application Verdünnung: ELISA: order BSA/sodium azide-free format for coating,Functional studies: order BSA/sodium azide-free format
Anwendungsbeschreibung: The concentration stated for each application is a general starting point. Variations in protocols, secondaries and substrates may require the FGF-23 antibody to be titered up or down for optimal performance.