Literature DB >> 33765014

Parameters and determinants of responses to selection in antibody libraries.

Steven Schulz1, Sébastien Boyer2, Matteo Smerlak3, Simona Cocco4, Rémi Monasson4, Clément Nizak5, Olivier Rivoire1.   

Abstract

The sequences of antibodies from a given repertoire are highly diverse at few sites located on the surface of a genome-encoded larger scaffold. The scaffold is often considered to play a lesser role than highly diverse, non-genome-encoded sites in controlling binding affinity and specificity. To gauge the impact of the scaffold, we carried out quantitative phage display experiments where we compare the response to selection for binding to four different targets of three different antibody libraries based on distinct scaffolds but harboring the same diversity at randomized sites. We first show that the response to selection of an antibody library may be captured by two measurable parameters. Second, we provide evidence that one of these parameters is determined by the degree of affinity maturation of the scaffold, affinity maturation being the process by which antibodies accumulate somatic mutations to evolve towards higher affinities during the natural immune response. In all cases, we find that libraries of antibodies built around maturated scaffolds have a lower response to selection to other arbitrary targets than libraries built around germline-based scaffolds. We thus propose that germline-encoded scaffolds have a higher selective potential than maturated ones as a consequence of a selection for this potential over the long-term evolution of germline antibody genes. Our results are a first step towards quantifying the evolutionary potential of biomolecules.

Entities:  

Year:  2021        PMID: 33765014      PMCID: PMC7993935          DOI: 10.1371/journal.pcbi.1008751

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  39 in total

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Authors:  George P. Smith; Valery A. Petrenko
Journal:  Chem Rev       Date:  1997-04-01       Impact factor: 60.622

Review 2.  Selecting and screening recombinant antibody libraries.

Authors:  Hennie R Hoogenboom
Journal:  Nat Biotechnol       Date:  2005-09       Impact factor: 54.908

3.  Structural insights into the evolution of an antibody combining site.

Authors:  G J Wedemayer; P A Patten; L H Wang; P G Schultz; R C Stevens
Journal:  Science       Date:  1997-06-13       Impact factor: 47.728

4.  PERSPECTIVE: COMPLEX ADAPTATIONS AND THE EVOLUTION OF EVOLVABILITY.

Authors:  Günter P Wagner; Lee Altenberg
Journal:  Evolution       Date:  1996-06       Impact factor: 3.694

Review 5.  Laboratory evolution of protein conformational dynamics.

Authors:  Eleanor C Campbell; Galen J Correy; Peter D Mabbitt; Ashley M Buckle; Nobuhiko Tokuriki; Colin J Jackson
Journal:  Curr Opin Struct Biol       Date:  2017-11-08       Impact factor: 6.809

6.  Probability model for molecular recognition in biological receptor repertoires: significance to the olfactory system.

Authors:  D Lancet; E Sadovsky; E Seidemann
Journal:  Proc Natl Acad Sci U S A       Date:  1993-04-15       Impact factor: 11.205

Review 7.  Exploring protein fitness landscapes by directed evolution.

Authors:  Philip A Romero; Frances H Arnold
Journal:  Nat Rev Mol Cell Biol       Date:  2009-12       Impact factor: 94.444

8.  Evolution of genetic potential.

Authors:  Lauren Ancel Meyers; Fredric D Ancel; Michael Lachmann
Journal:  PLoS Comput Biol       Date:  2005-08-26       Impact factor: 4.475

9.  Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences.

Authors:  Alexander M Sevy; Tim M Jacobs; James E Crowe; Jens Meiler
Journal:  PLoS Comput Biol       Date:  2015-07-06       Impact factor: 4.475

10.  Human germline antibody gene segments encode polyspecific antibodies.

Authors:  Jordan R Willis; Bryan S Briney; Samuel L DeLuca; James E Crowe; Jens Meiler
Journal:  PLoS Comput Biol       Date:  2013-04-25       Impact factor: 4.475

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