m7G Monoclonal antibody
m7G Monoclonal Antibody for IHC, Dot Blot, ELISA
Host / Isotype
Mouse / IgG2b
Reactivity
chemical compound and More (1)
Applications
IHC, Dot Blot, ELISA
Conjugate
Unconjugated
CloneNo.
2C3E10
验证数据展示
经过测试的应用
Positive IHC detected in | mouse testis tissue, human colon cancer tissue, human liver cancer tissue, human pancreas cancer tissue Note: suggested antigen retrieval with TE buffer pH 9.0; (*) Alternatively, antigen retrieval may be performed with citrate buffer pH 6.0 |
Positive ELISA detected in | compound |
Positive Dot Blot detected in | HeLa cells |
推荐稀释比
Application | Dilution |
---|---|
Immunohistochemistry (IHC) | IHC : 1:1000-1:4000 |
Enzyme-linked Immunosorbent Assay (ELISA) | ELISA : 1:10-1:100 |
DOT BLOT | DOT BLOT : 1:2500-1:10000 |
It is recommended that this reagent should be titrated in each testing system to obtain optimal results. | |
Sample-dependent, Check data in validation data gallery. |
产品信息
68302-1-Ig targets m7G in IHC, Dot Blot, ELISA applications and shows reactivity with chemical compound samples.
Tested Applications | IHC, Dot Blot, ELISA Application Description |
Tested Reactivity | chemical compound |
Cited Reactivity | mouse |
Immunogen | compound 种属同源性预测 |
Host / Isotype | Mouse / IgG2b |
Class | Monoclonal |
Type | Antibody |
Full Name | m7G |
Synonyms | |
Gene Symbol | |
Gene ID (NCBI) | |
Conjugate | Unconjugated |
Form | Liquid |
Purification Method | Protein A purification |
Storage Buffer | PBS with 0.02% sodium azide and 50% glycerol pH 7.3. |
Storage Conditions | Store at -20°C. Stable for one year after shipment. Aliquoting is unnecessary for -20oC storage. |
背景介绍
Protocol for Dot Blot:
https://www.ptglab.com/protocol/68302-1-IgDotBlot.pdf
实验方案
Product Specific Protocols | |
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IHC protocol for m7G antibody 68302-1-Ig | Download protocol |
Standard Protocols | |
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Click here to view our Standard Protocols |
发表文章
Species | Application | Title |
---|---|---|
Eur J Med Res A comprehensive analysis of m6A/m7G/m5C/m1A-related gene expression and immune infiltration in liver ischemia-reperfusion injury by integrating bioinformatics and machine learning algorithms |