Literature DB >> 10715203

Constructing high complexity synthetic libraries of long ORFs using in vitro selection.

G Cho1, A D Keefe, R Liu, D S Wilson, J W Szostak.   

Abstract

We present a method that can significantly increase the complexity of protein libraries used for in vitro or in vivo protein selection experiments. Protein libraries are often encoded by chemically synthesized DNA, in which part of the open reading frame is randomized. There are, however, major obstacles associated with the chemical synthesis of long open reading frames, especially those containing random segments. Insertions and deletions that occur during chemical synthesis cause frameshifts, and stop codons in the random region will cause premature termination. These problems can together greatly reduce the number of full-length synthetic genes in the library. We describe a strategy in which smaller segments of the synthetic open reading frame are selected in vitro using mRNA display for the absence of frameshifts and stop codons. These smaller segments are then ligated together to form combinatorial libraries of long uninterrupted open reading frames. This process can increase the number of full-length open reading frames in libraries by up to two orders of magnitude, resulting in protein libraries with complexities of greater than 10(13). We have used this methodology to generate three types of displayed protein library: a completely random sequence library, a library of concatemerized oligopeptide cassettes with a propensity for forming amphipathic alpha-helical or beta-strand structures, and a library based on one of the most common enzymatic scaffolds, the alpha/beta (TIM) barrel. Copyright 2000 Academic Press.

Entities:  

Keywords:  NASA Discipline Exobiology; Non-NASA Center

Mesh:

Substances:

Year:  2000        PMID: 10715203     DOI: 10.1006/jmbi.2000.3571

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


  32 in total

1.  The use of mRNA display to select high-affinity protein-binding peptides.

Authors:  D S Wilson; A D Keefe; J W Szostak
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

2.  Large libraries reveal diverse solutions to an RNA recognition problem.

Authors:  J E Barrick; T T Takahashi; J Ren; T Xia; R W Roberts
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-23       Impact factor: 11.205

3.  Random multi-recombinant PCR for the construction of combinatorial protein libraries.

Authors:  T Tsuji; M Onimaru; H Yanagawa
Journal:  Nucleic Acids Res       Date:  2001-10-15       Impact factor: 16.971

4.  Construction and characterization of protein libraries composed of secondary structure modules.

Authors:  Tomoaki Matsuura; Andreas Ernst; Andreas Plückthun
Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

5.  Oligonucleotide-directed site-specific integration of high complexity libraries into ssDNA templates.

Authors:  M B Hale; G P Nolan; R Wolkowicz
Journal:  Nucleic Acids Res       Date:  2004-01-29       Impact factor: 16.971

6.  Comparative characterization of random-sequence proteins consisting of 5, 12, and 20 kinds of amino acids.

Authors:  Junko Tanaka; Nobuhide Doi; Hideaki Takashima; Hiroshi Yanagawa
Journal:  Protein Sci       Date:  2010-04       Impact factor: 6.725

7.  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

8.  Characterization of endogenous and recombinant human calpain-10.

Authors:  Biao Dong; Rihe Liu
Journal:  Biochimie       Date:  2008-04-10       Impact factor: 4.079

9.  In vitro evolution of enzymes.

Authors:  Misha V Golynskiy; John C Haugner; Aleardo Morelli; Dana Morrone; Burckhard Seelig
Journal:  Methods Mol Biol       Date:  2013

10.  CoLiDe: Combinatorial Library Design tool for probing protein sequence space.

Authors:  Vyacheslav Tretyachenko; Václav Voráček; Radko Souček; Kosuke Fujishima; Klára Hlouchová
Journal:  Bioinformatics       Date:  2021-05-01       Impact factor: 6.937

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