B4GALT2 Polyclonal antibody

B4GALT2 Polyclonal Antibody for WB, IHC, ELISA

Host / Isotype

Rabbit / IgG

Reactivity

human, mouse, rat

Applications

WB, IHC, ELISA

Conjugate

Unconjugated

Cat no : 20330-1-AP

Synonyms

B4Gal T2, B4Gal T3, B4GALT2, Beta 1,4 GalTase 2, beta4Gal T2



Tested Applications

Positive WB detected inPC-3 cells, mouse brain tissue, mouse large intestine tissue, mouse ovary tissue, mouse skeletal muscle tissue
Positive IHC detected inhuman colon cancer tissue, human ovary tissue
Note: suggested antigen retrieval with TE buffer pH 9.0; (*) Alternatively, antigen retrieval may be performed with citrate buffer pH 6.0

Recommended dilution

ApplicationDilution
Western Blot (WB)WB : 1:1000-1:4000
Immunohistochemistry (IHC)IHC : 1:20-1:200
Sample-dependent, check data in validation data gallery

Published Applications

WBSee 1 publications below

Product Information

The immunogen of 20330-1-AP is B4GALT2 Fusion Protein expressed in E. coli.

Tested Reactivity human, mouse, rat
Cited Reactivity human
Host / Isotype Rabbit / IgG
Class Polyclonal
Type Antibody
Immunogen B4GALT2 fusion protein Ag14046 相同性解析による交差性が予測される生物種
Full Name UDP-Gal:betaGlcNAc beta 1,4- galactosyltransferase, polypeptide 2
Calculated molecular weight 372 aa, 42 kDa
Observed molecular weight 42-45 kDa
GenBank accession numberBC002431
Gene symbol B4GALT2
Gene ID (NCBI) 8704
RRIDAB_10693615
Conjugate Unconjugated
Form Liquid
Purification Method Antigen affinity purification
Storage Buffer PBS with 0.02% sodium azide and 50% glycerol pH 7.3.
Storage ConditionsStore at -20°C. Stable for one year after shipment. Aliquoting is unnecessary for -20oC storage.

Protocols

Product Specific Protocols
WB protocol for B4GALT2 antibody 20330-1-APDownload protocol
IHC protocol for B4GALT2 antibody 20330-1-APDownload protocol
Standard Protocols
Click here to view our Standard Protocols

Publications

SpeciesApplicationTitle
humanWB

Front Genet

Identification of a Novel Glycosyltransferase Prognostic Signature in Hepatocellular Carcinoma Based on LASSO Algorithm.

Authors - Zhiyang Zhou