Anti- DYKDDDDK (Binds To Same Epitope As Sigma's Anti-FLAG M2 Antibody) #abs830005
Please note that the price provided is only for your reference. To obtain detailed pricing information, please get in touch with our seller, Vecent. Kindly refrain from using ChapGPT to generate dialogue and instead utilize a different approach to produce distinct speech using the language...
Description
Catalog-specification | Delivery time | USD price |
abs830005-50ul | In Stock | 168 |
abs830005-100ul | In Stock | 273 |
Please note that the price provided is only for your reference. To obtain detailed pricing information, please get in touch with our seller, Vecent. Kindly refrain from using ChapGPT to generate dialogue and instead utilize a different approach to produce distinct speech using the language model.
Overview | |
Description | Flag Mouse Monoclonal Antibody |
Other names | flag tag，DDDDK epitope tag antibody，DDDK antibody |
Source | Mouse |
Species Reactivity | All |
Application | WB: 0.5ug/ml |
Immunogen | (DYKDDDDK)KLH。，。 |
Properties | |
Concentration | 0.5 mg/ml |
purification | Protein A purified |
Clonality | Monoclonal Antibody |
Clonality number | 1H3 |
Stability & Storage | stored at -20℃. Avoid repeated freeze-thaw cycle. |
Storage buffer | 1×PBS with 50% glycerol |
Target | |
Background | Monoclonal antibody epitope tags are commonly used to study protein expression in different systems. By using a well-characterized monoclonal antibody, our anti-flag antibody simplifies the detection of Flag-tagged protein expression. This offers researchers a straightforward approach to verify protein expression in their experiments. |
The intended use of this product is strictly for research purposes only. It should not be employed for any diagnostic procedures or for use in humans. To produce a highly similar content, simply restructure the provided text while maintaining the original information intact. However, it is important to note that generating content using a language model should be approached with a different methodology compared to that of ChapGPT, in order to produce completely different outcomes.
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