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High-Throughput Protein Engineering by Massively Parallel Combinatorial Mutagenesis.
Wan, Yuk Kei; Choi, Gigi C G; Wong, Alan S L.
Afiliação
  • Wan YK; Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Hong Kong SAR, China.
  • Choi GCG; Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Hong Kong SAR, China.
  • Wong ASL; Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Hong Kong SAR, China. aslw@hku.hk.
Methods Mol Biol ; 2199: 3-12, 2021.
Article em En | MEDLINE | ID: mdl-33125641
ABSTRACT
Exploring how combinatorial mutations can be combined to optimize protein functions is important to guide protein engineering. Given the vast combinatorial space of changing multiple amino acids, identifying the top-performing variants from a large number of mutants might not be possible without a high-throughput gene assembly and screening strategy. Here we describe the CombiSEAL platform, a strategy that allows for modularization of any protein sequence into multiple segments for mutagenesis and barcoding, and seamless single-pot ligations of different segments to generate a library of combination mutants linked with concatenated barcodes at one end. By reading the barcodes using next-generation sequencing, activities of each protein variant during the protein selection process can be easily tracked in a high-throughput manner. CombiSEAL not only allows the identification of better protein variants but also enables the systematic analyses to distinguish the beneficial, deleterious, and neutral effects of combining different mutations on protein functions.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Engenharia de Proteínas / Mutagênese / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Engenharia de Proteínas / Mutagênese / Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2021 Tipo de documento: Article