Mammalian cell display with automated oligo design and library assembly allows for rapid residue level conformational epitope mapping.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
03 Jul 2024
Historique:
received: 29 11 2023
accepted: 25 06 2024
medline: 4 7 2024
pubmed: 4 7 2024
entrez: 3 7 2024
Statut: epublish

Résumé

Precise epitope determination of therapeutic antibodies is of great value as it allows for further comprehension of mechanism of action, therapeutic responsiveness prediction, avoidance of unwanted cross reactivity, and vaccine design. The golden standard for discontinuous epitope determination is the laborious X-ray crystallography method. Here, we present a combinatorial method for rapid mapping of discontinuous epitopes by mammalian antigen display, eliminating the need for protein expression and purification. The method is facilitated by automated workflows and tailored software for antigen analysis and oligonucleotide design. These oligos are used in automated mutagenesis to generate an antigen receptor library displayed on mammalian cells for direct binding analysis by flow cytometry. Through automated analysis of 33930 primers an optimized single condition cloning reaction was defined allowing for mutation of all surface-exposed residues of the receptor binding domain of SARS-CoV-2. All variants were functionally expressed, and two reference binders validated the method. Furthermore, epitopes of three novel therapeutic antibodies were successfully determined followed by evaluation of binding also towards SARS-CoV-2 Omicron BA.2. We find the method to be highly relevant for rapid construction of antigen libraries and determination of antibody epitopes, especially for the development of therapeutic interventions against novel pathogens.

Identifiants

pubmed: 38961245
doi: 10.1038/s42003-024-06508-8
pii: 10.1038/s42003-024-06508-8
doi:

Substances chimiques

Epitopes 0
Spike Glycoprotein, Coronavirus 0
Peptide Library 0
spike protein, SARS-CoV-2 0
Antibodies, Viral 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

805

Subventions

Organisme : VINNOVA (Swedish Governmental Agency for Innovation Systems)
ID : 2016-05181
Organisme : VINNOVA (Swedish Governmental Agency for Innovation Systems)
ID : 2021-02640
Organisme : VINNOVA (Swedish Governmental Agency for Innovation Systems)
ID : 2019-00103
Organisme : VINNOVA (Swedish Governmental Agency for Innovation Systems)
ID : 2017-02105
Organisme : Stiftelsen för Strategisk Forskning (Swedish Foundation for Strategic Research)
ID : SB16-0017

Informations de copyright

© 2024. The Author(s).

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Auteurs

Niklas Berndt Thalén (NB)

Department Protein science, KTH-Royal Institute of Technology, Stockholm, SE-106 91, Sweden.

Maximilian Karlander (M)

Department Protein science, KTH-Royal Institute of Technology, Stockholm, SE-106 91, Sweden.

Magnus Lundqvist (M)

Department Protein science, KTH-Royal Institute of Technology, Stockholm, SE-106 91, Sweden.

Helena Persson (H)

Science for Life Laboratory, Drug Discovery and Development Platform & School of Biotechnology, KTH-Royal Institute of Technology, Stockholm, Sweden.

Camilla Hofström (C)

Science for Life Laboratory, Drug Discovery and Development Platform & School of Biotechnology, KTH-Royal Institute of Technology, Stockholm, Sweden.

S Pauliina Turunen (SP)

Science for Life Laboratory, Drug Discovery and Development Platform & School of Biotechnology, KTH-Royal Institute of Technology, Stockholm, Sweden.

Magdalena Godzwon (M)

Department of Immunotechnology, Lund University, Lund, Sweden.

Anna-Luisa Volk (AL)

Department Protein science, KTH-Royal Institute of Technology, Stockholm, SE-106 91, Sweden.

Magdalena Malm (M)

Department Protein science, KTH-Royal Institute of Technology, Stockholm, SE-106 91, Sweden.

Mats Ohlin (M)

Department of Immunotechnology, Lund University, Lund, Sweden.

Johan Rockberg (J)

Department Protein science, KTH-Royal Institute of Technology, Stockholm, SE-106 91, Sweden. johanr@biotech.kth.se.

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