Literature DB >> 18471027

mRNA-display-based selections for proteins with desired functions: a protease-substrate case study.

C Alexander Valencia1, Steven W Cotten, Biao Dong, Rihe Liu.   

Abstract

mRNA-display is an amplification-based, iterative rounds of in vitro protein selection technique that circumvents a number of difficulties associated with yeast two-hybrid and phage display. Because of the covalent linkage between the genotype and the phenotype, mRNA-display provides a powerful means for reading and amplifying a peptide or protein sequence after it has been selected from a library with a diversity in the range of 10(12)-10(13). In this paper, we briefly review the recent progress in using mRNA-display to identify affinity reagents, binding partners, and enzyme substrates from synthetic peptide or natural proteome libraries. To facilitate the use of mRNA-display in research laboratories without previous experience, we provide a detailed analysis of the critical steps of an mRNA-display-based selection in a case study for the identification of the natural substrates of caspases, including the generation of an mRNA-displayed proteome library, removal of abundant sequences, and selection of proteins with desired functions. The advantages and technical limitations of mRNA-display as a general peptide or protein selection tool are also addressed.

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Year:  2008        PMID: 18471027     DOI: 10.1021/bp070473a

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  3 in total

1.  Selection of proteins with desired properties from natural proteome libraries using mRNA display.

Authors:  Steven W Cotten; Jianwei Zou; C Alexander Valencia; Rihe Liu
Journal:  Nat Protoc       Date:  2011-07-21       Impact factor: 13.491

2.  In vitro selection of proteins with desired characteristics using mRNA-display.

Authors:  C Alexander Valencia; Jianwei Zou; Rihe Liu
Journal:  Methods       Date:  2012-11-28       Impact factor: 3.608

Review 3.  Advantages of mRNA display selections over other selection techniques for investigation of protein-protein interactions.

Authors:  Hui Wang; Rihe Liu
Journal:  Expert Rev Proteomics       Date:  2011-06       Impact factor: 3.940

  3 in total

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