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Deep Mining of Complex Antibody Phage Pools.
Tulika, Tulika; Ljungars, Anne.
Affiliation
  • Tulika T; Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.
  • Ljungars A; Department of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark. aellj@dtu.dk.
Methods Mol Biol ; 2702: 419-431, 2023.
Article in En | MEDLINE | ID: mdl-37679633
ABSTRACT
An important, and rapidly growing class of drugs are antibodies which can be discovered through phage display technology. In this technique, antibodies are typically first enriched through consecutive rounds of selection on a target antigen with amplification in bacteria between each selection round. Thereafter, a subset of random individual clones is analyzed for binding in a screening procedure. This results in discovery of the most abundant antibodies in the pool. However, there are multiple factors affecting the enrichment of antibodies during the selection resulting in a very complex output pool of antibodies. A few antibodies are present in many copies and others only in a few copies, where the most abundant antibodies are not necessarily the functionally best ones. In order to utilize the full potential of the output from a phage display selection, and enable discovery of low abundant, potentially functionally important clones, deep mining technologies are needed. In this chapter, two methods for deep mining of an antibody pool are described, protein depletion and antibody blocking. The methods can be applied both when the target is a single antigen and on complex antigen mixtures such as whole cells and tissues.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacteriophages / Antibodies Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Type: Article Affiliation country: Denmark

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacteriophages / Antibodies Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Type: Article Affiliation country: Denmark