Literature DB >> 21787786

Synthetic antibodies designed on natural sequence landscapes.

Wenwu Zhai1, Jacob Glanville, Markus Fuhrmann, Li Mei, Irene Ni, Purnima D Sundar, Thomas Van Blarcom, Yasmina Abdiche, Kevin Lindquist, Ralf Strohner, Dilduz Telman, Guido Cappuccilli, William J J Finlay, Jan Van den Brulle, David R Cox, Jaume Pons, Arvind Rajpal.   

Abstract

We present a method for synthetic antibody library generation that combines the use of high-throughput immune repertoire analysis and a novel synthetic technology. The library design recapitulates positional amino acid frequencies observed in natural antibody repertoires. V-segment diversity in four heavy (V(H)) and two kappa (V(κ)) germlines was introduced based on the analysis of somatically hypermutated donor-derived repertoires. Complementarity-determining region 3 length and amino acid designs were based on aggregate frequencies of all V(H) and V(κ) sequences in the data set. The designed libraries were constructed through an adaptation of a novel gene synthesis technology that enables precise positional control of amino acid composition and incorporation frequencies. High-throughput pyrosequencing was used to monitor the fidelity of construction and characterize genetic diversity in the final 3.6×10(10) transformants. The library exhibited Fab expression superior to currently reported synthetic approaches of equivalent diversity, with greater than 93% of clones observed to successfully display both a correctly folded heavy chain and a correctly folded light chain. Genetic diversity in the library was high, with 95% of 7.0×10(5) clones sequenced observed only once. The obtained library diversity explores a comparable sequence space as the donor-derived natural repertoire and, at the same time, is able to access novel recombined diversity due to lack of segmental linkage. The successful isolation of low- and subnanomolar-affinity antibodies against a diverse panel of receptors, growth factors, enzymes, antigens from infectious reagents, and peptides confirms the functional viability of the design strategy.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21787786     DOI: 10.1016/j.jmb.2011.07.018

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  41 in total

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2.  Understanding differences between synthetic and natural antibodies can help improve antibody engineering.

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3.  Optimization of a β-sheet-cap for long loop closure.

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4.  Construction of a rationally designed antibody platform for sequencing-assisted selection.

Authors:  H Benjamin Larman; George Jing Xu; Natalya N Pavlova; Stephen J Elledge
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-11       Impact factor: 11.205

5.  A Combination of Structural and Empirical Analyses Delineates the Key Contacts Mediating Stability and Affinity Increases in an Optimized Biotherapeutic Single-chain Fv (scFv).

Authors:  Chao Tu; Virginie Terraube; Amy Sze Pui Tam; Wayne Stochaj; Brian J Fennell; Laura Lin; Mark Stahl; Edward R LaVallie; Will Somers; William J J Finlay; Lydia Mosyak; Joel Bard; Orla Cunningham
Journal:  J Biol Chem       Date:  2015-10-29       Impact factor: 5.157

Review 6.  Integrating high-throughput screening and sequencing for monoclonal antibody discovery and engineering.

Authors:  Cristina Parola; Daniel Neumeier; Sai T Reddy
Journal:  Immunology       Date:  2017-10-30       Impact factor: 7.397

Review 7.  How repertoire data are changing antibody science.

Authors:  Claire Marks; Charlotte M Deane
Journal:  J Biol Chem       Date:  2020-05-14       Impact factor: 5.157

8.  Frontier of therapeutic antibody discovery: The challenges and how to face them.

Authors:  Zhi-Jian Lu; Su-Jun Deng; Da-Gang Huang; Yun He; Ming Lei; Li Zhou; Pei Jin
Journal:  World J Biol Chem       Date:  2012-12-26

Review 9.  Candidate antibody-based therapeutics against HIV-1.

Authors:  Rui Gong; Weizao Chen; Dimiter S Dimitrov
Journal:  BioDrugs       Date:  2012-06-01       Impact factor: 5.807

10.  Rational library design by functional CDR resampling.

Authors:  Qi Zhao; Diane Buhr; Courtney Gunter; Jenny Frenette; Mary Ferguson; Eric Sanford; Erika Holland; Chitra Rajagopal; Melissa Batonick; Margaret M Kiss; Michael P Weiner
Journal:  N Biotechnol       Date:  2017-12-11       Impact factor: 5.079

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