An easy-to-use high-throughput selection system for the discovery of recombinant protein binders from alternative scaffold libraries.

alternative scaffold proteins automated phage display high-throughput selection high-throughput sequencing synthetic binder libraries

Journal

Protein engineering, design & selection : PEDS
ISSN: 1741-0134
Titre abrégé: Protein Eng Des Sel
Pays: England
ID NLM: 101186484

Informations de publication

Date de publication:
21 01 2023
Historique:
received: 20 12 2022
revised: 29 08 2023
accepted: 01 09 2023
medline: 5 10 2023
pubmed: 13 9 2023
entrez: 13 9 2023
Statut: ppublish

Résumé

Selection by phage display is a popular and widely used technique for the discovery of recombinant protein binders from large protein libraries for therapeutic use. The protein library is displayed on the surface of bacteriophages which are amplified using bacteria, preferably Escherichia coli, to enrich binders in several selection rounds. Traditionally, the so-called panning procedure during which the phages are incubated with the target protein, washed and eluted is done manually, limiting the throughput. High-throughput systems with automated panning already in use often require high-priced equipment. Moreover, the bottleneck of the selection process is usually the screening and characterization. Therefore, having a high-throughput panning procedure without a scaled screening platform does not necessarily increase the discovery rate. Here, we present an easy-to-use high-throughput selection system with automated panning using cost-efficient equipment integrated into a workflow with high-throughput sequencing and a tailored screening step using biolayer-interferometry. The workflow has been developed for selections using two recombinant libraries, ADAPT (Albumin-binding domain-derived affinity proteins) and CaRA (Calcium-regulated affinity) and has been evaluated for three new targets. The newly established semi-automated system drastically reduced the hands-on time and increased robustness while the selection outcome, when compared to manual handling, was very similar in deep sequencing analysis and generated binders in the nanomolar affinity range. The developed selection system has shown to be highly versatile and has the potential to be applied to other binding domains for the discovery of new protein binders.

Identifiants

pubmed: 37702366
pii: 7272685
doi: 10.1093/protein/gzad011
pmc: PMC10545973
pii:
doi:

Substances chimiques

Peptide Library 0
Recombinant Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Références

Nature. 1990 Dec 6;348(6301):552-4
pubmed: 2247164
Sci Rep. 2021 May 26;11(1):11046
pubmed: 34040046
N Biotechnol. 2020 Sep 25;58:45-54
pubmed: 32502629
N Biotechnol. 2022 Dec 25;72:159-167
pubmed: 36450334
FEMS Microbiol Rev. 2022 Mar 3;46(2):
pubmed: 34673942
J Nucl Med. 2021 Apr;62(4):493-499
pubmed: 32817142
Biotechnol J. 2010 Jun;5(6):605-17
pubmed: 20518064
PLoS One. 2011;6(10):e25791
pubmed: 21991353
Science. 1985 Jun 14;228(4705):1315-7
pubmed: 4001944
Methods Mol Biol. 2019;1904:377-400
pubmed: 30539481
PLoS One. 2014 Aug 04;9(8):e103094
pubmed: 25089830
Cancer Res. 2015 Oct 15;75(20):4364-71
pubmed: 26297736
MAbs. 2016 Oct;8(7):1177-1194
pubmed: 27416017
Mol Pharm. 2021 Jan 4;18(1):328-337
pubmed: 33259222
Cell Mol Life Sci. 2013 Oct;70(20):3973-85
pubmed: 23728098
Nat Protoc. 2020 May;15(5):1707-1741
pubmed: 32269381
J Mol Biol. 2018 Sep 14;430(18 Pt B):3427-3438
pubmed: 29886013
Front Pharmacol. 2019 Jul 30;10:847
pubmed: 31417405

Auteurs

Marit Möller (M)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Malin Jönsson (M)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Magnus Lundqvist (M)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Blenda Hedin (B)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Louise Larsson (L)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Emma Larsson (E)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Johan Rockberg (J)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Mathias Uhlén (M)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Sarah Lindbo (S)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Hanna Tegel (H)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Sophia Hober (S)

Department of Protein Science, KTH Royal Institute of Technology, Stockholm SE-10691, Sweden.

Articles similaires

Genome, Viral Ralstonia Composting Solanum lycopersicum Bacteriophages
Female Biofilms Animals Lactobacillus Mice
Host Specificity Bacteriophages Genomics Algorithms Escherichia coli
Biofilms Horses Animals Escherichia coli Mesenchymal Stem Cells

Classifications MeSH