A Two-Step Golden Gate Cloning Procedure for the Generation of Natively Paired YSD Fab Libraries.

Bidirectional promoter Fab library Golden Gate cloning Paired VH–VL antibody library Restriction enzyme type IIs Yeast surface display

Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2023
Historique:
medline: 7 7 2023
pubmed: 5 7 2023
entrez: 5 7 2023
Statut: ppublish

Résumé

In vitro antibody display libraries have emerged as powerful tools for a streamlined discovery of novel antibody binders. While in vivo antibody repertoires are matured and selected as a specific pair of variable heavy and light chains (VH and VL) with optimal specificity and affinity, during the recombinant generation of in vitro libraries, the native sequence pairing is not maintained. Here we describe a cloning method that combines the flexibility and versatility of in vitro antibody display with the advantages of natively paired VH-VL antibodies. In this regard, VH-VL amplicons are cloned via a two-step Golden Gate cloning procedure, allowing the display of Fab fragments on yeast cells.

Identifiants

pubmed: 37405648
doi: 10.1007/978-1-0716-3279-6_10
doi:

Substances chimiques

Antibodies 0
Immunoglobulin Fab Fragments 0
Peptide Library 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

161-173

Informations de copyright

© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Références

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Auteurs

Lena Vollmer (L)

Institute for Organic Chemistry and Biochemistry, Technische Universität Darmstadt, Darmstadt, Germany.

Simon Krah (S)

Protein Engineering and Antibody Technologies (PEAT), Merck Healthcare KGaA, Darmstadt, Germany.

Stefan Zielonka (S)

Institute for Organic Chemistry and Biochemistry, Technische Universität Darmstadt, Darmstadt, Germany.
Protein Engineering and Antibody Technologies (PEAT), Merck Healthcare KGaA, Darmstadt, Germany.

Desislava Yanakieva (D)

Protein Engineering and Antibody Technologies (PEAT), Merck Healthcare KGaA, Darmstadt, Germany. Desislava.yanakieva@merckgroup.com.

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Classifications MeSH