Literature DB >> 19622546

Tying up the loose ends: circular permutation decreases the proteolytic susceptibility of recombinant proteins.

Timothy A Whitehead1, Lisa M Bergeron, Douglas S Clark.   

Abstract

Recombinant proteins often suffer from poor expression because of proteolysis. Existing genetic engineering or fermentation strategies work for only a subset of cases where higher recombinant protein expression is needed. In this paper, we describe the use of circular permutation, wherein the original termini of a protein are concatenated and new termini are generated elsewhere with the sequence, as a general protein engineering strategy to produce full-length, active recombinant protein. We show that a circularly permuted variant of the thermosome (Group II chaperonin) from Methanocaldococcus jannaschii exhibited reduced proteolysis and increased expression in three different strains of Escherichia coli. Circular permutation of a different protein, TEM-1 beta-lactamase, by a similar method increased the expression lifetime of the protein in the periplasm of E. coli. Both circularly permuted proteins maintained activity near their wild-type counterparts and design criteria for selecting the sites for circular permutation are discussed. It is expected that this method will find broad utility for enhanced expression of recombinant proteins when proteolysis is a factor.

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Year:  2009        PMID: 19622546     DOI: 10.1093/protein/gzp034

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.650


  15 in total

1.  Engineering carboxypeptidase G2 circular permutations for the design of an autoinhibited enzyme.

Authors:  Brahm J Yachnin; Sagar D Khare
Journal:  Protein Eng Des Sel       Date:  2017-04-01       Impact factor: 1.650

2.  High-resolution structure prediction of a circular permutation loop.

Authors:  Bruno E Correia; Margaret A Holmes; Po-Ssu Huang; Roland K Strong; William R Schief
Journal:  Protein Sci       Date:  2011-09-30       Impact factor: 6.725

3.  Detection of circular permutations within protein structures using CE-CP.

Authors:  Spencer E Bliven; Philip E Bourne; Andreas Prlić
Journal:  Bioinformatics       Date:  2014-12-12       Impact factor: 6.937

4.  Transposon for protein engineering.

Authors:  Vandan Shah; Jin Ryoun Kim
Journal:  Mob Genet Elements       Date:  2016-09-22

5.  Bacterially expressed HIV-1 gp120 outer-domain fragment immunogens with improved stability and affinity for CD4-binding site neutralizing antibodies.

Authors:  Ujjwal Rathore; Mansi Purwar; Venkada Subramanian Vignesh; Raksha Das; Aditya Arun Kumar; Sanchari Bhattacharyya; Heather Arendt; Joanne DeStefano; Aaron Wilson; Christopher Parks; Celia C La Branche; David C Montefiori; Raghavan Varadarajan
Journal:  J Biol Chem       Date:  2018-08-09       Impact factor: 5.157

6.  CRISPR-Cas9 Circular Permutants as Programmable Scaffolds for Genome Modification.

Authors:  Benjamin L Oakes; Christof Fellmann; Harneet Rishi; Kian L Taylor; Shawn M Ren; Dana C Nadler; Rayka Yokoo; Adam P Arkin; Jennifer A Doudna; David F Savage
Journal:  Cell       Date:  2019-01-10       Impact factor: 41.582

7.  Tolerance of a Knotted Near-Infrared Fluorescent Protein to Random Circular Permutation.

Authors:  Naresh Pandey; Brianna E Kuypers; Barbara Nassif; Emily E Thomas; Razan N Alnahhas; Laura Segatori; Jonathan J Silberg
Journal:  Biochemistry       Date:  2016-06-29       Impact factor: 3.162

8.  Circular permutation prediction reveals a viable backbone disconnection for split proteins: an approach in identifying a new functional split intein.

Authors:  Yun-Tzai Lee; Tz-Hsiang Su; Wei-Cheng Lo; Ping-Chiang Lyu; Shih-Che Sue
Journal:  PLoS One       Date:  2012-08-24       Impact factor: 3.240

9.  A transposase strategy for creating libraries of circularly permuted proteins.

Authors:  Manan M Mehta; Shirley Liu; Jonathan J Silberg
Journal:  Nucleic Acids Res       Date:  2012-02-07       Impact factor: 16.971

10.  Circular permutation in proteins.

Authors:  Spencer Bliven; Andreas Prlić
Journal:  PLoS Comput Biol       Date:  2012-03-29       Impact factor: 4.475

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