How does Genomic Antibody Technology Work?

Wed, 07/21/2010 - 08:04


Novus Biologicals recently added novel GAT (Genomic Antibody Technology) reagents to our antibody catalog, following the formation of a partnership with SDIX, creators of the technique. SDIX's GAT antibodies represent a totally new way to think about protein immunogens.

GAT utilises bioinformatic analysis to select the optimum amino acid sequence for the target protein. The science of bioinformatics, in which statistical computer programs are used to extract biological information from electronic data provided, has become enormously sophisticated since it was first developed in the 1970s, and is the perfect tool for Genomic Antibody Technology. SDIX's HAWK program chooses the optimal 100 aa sequence to create a native antigen.

Western Blot: GAT1 Antibody Western Blot: GAT1 Antibody

Once selected, the immunogen is synthesized in vivo by encoding plasmids (DNA molecules existing independently of chromosomal DNA, typically sourced from bacteria) and then injected them into a host animal via transfection. In response, highly specific antibodies are produced, targeted to the immunogen in its natural state.

Large proteins are often preferred in immunoassays because they yield higher numbers of epitopes, are more likely to contain exposed surface epitopes and are more likely to fold into their native structure. GAT antibodiesrecognize naturally folded, larger protein sections, selected using advanced bioinformatic analysis in chains of up to 100 amino acids.

It is critical that when antibodiesare raised, they recognize the native conformation of the target protein, and have a high affinity for multiple epitopes. However, the traditional method of purification and isolation of proteins from cellular extracts often yields poor results – especially in difficult immunogens like transmembrane receptors. Success will be far higher with our GAT antibody database.

Novus Biologicals offers many GAT reagents for your research needs including:

Comments

I'm really disappointed for missing this on my initial visit. Well done on the ideas and perspectives.

Thanks for blogging and i enjoy the blog posting so no public comments.

Terrific work! This is the kind of information that should be shared across the web. Shame on Google for not positioning this put up higher! Come on over and consult with my website . Thanks =)

What's up to all, how is everything, I think every one is getting more from this web site, and your views are nice designed for new visitors.

Helpful information. Lucky me I found your web site unintentionally, and I'm surprised why this accident
did not took place earlier! I bookmarked it.


Blog Topics


Archives