Literature DB >> 27401040

Structural Determinants of Sleeping Beauty Transposase Activity.

György Abrusán1,2, Stephen R Yant3,4, András Szilágyi5, Joseph A Marsh1, Lajos Mátés6, Zsuzsanna Izsvák7, Orsolya Barabás8, Zoltán Ivics9.   

Abstract

Transposases are important tools in genome engineering, and there is considerable interest in engineering more efficient ones. Here, we seek to understand the factors determining their activity using the Sleeping Beauty transposase. Recent work suggests that protein coevolutionary information can be used to classify groups of physically connected, coevolving residues into elements called "sectors", which have proven useful for understanding the folding, allosteric interactions, and enzymatic activity of proteins. Using extensive mutagenesis data, protein modeling and analysis of folding energies, we show that (i) The Sleeping Beauty transposase contains two sectors, which span across conserved domains, and are enriched in DNA-binding residues, indicating that the DNA binding and endonuclease functions of the transposase coevolve; (ii) Sector residues are highly sensitive to mutations, and most mutations of these residues strongly reduce transposition rate; (iii) Mutations with a strong effect on free energy of folding in the DDE domain of the transposase significantly reduce transposition rate. (iv) Mutations that influence DNA and protein-protein interactions generally reduce transposition rate, although most hyperactive mutants are also located on the protein surface, including residues with protein-protein interactions. This suggests that hyperactivity results from the modification of protein interactions, rather than the stabilization of protein fold.

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Year:  2016        PMID: 27401040      PMCID: PMC5010145          DOI: 10.1038/mt.2016.110

Source DB:  PubMed          Journal:  Mol Ther        ISSN: 1525-0016            Impact factor:   11.454


  61 in total

1.  Predicting changes in the stability of proteins and protein complexes: a study of more than 1000 mutations.

Authors:  Raphael Guerois; Jens Erik Nielsen; Luis Serrano
Journal:  J Mol Biol       Date:  2002-07-05       Impact factor: 5.469

2.  Development of hyperactive sleeping beauty transposon vectors by mutational analysis.

Authors:  Hatem Zayed; Zsuzsanna Izsvák; Oliver Walisko; Zoltán Ivics
Journal:  Mol Ther       Date:  2004-02       Impact factor: 11.454

3.  Molecular reconstruction of Sleeping Beauty, a Tc1-like transposon from fish, and its transposition in human cells.

Authors:  Z Ivics; P B Hackett; R H Plasterk; Z Izsvák
Journal:  Cell       Date:  1997-11-14       Impact factor: 41.582

4.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit.

Authors:  Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl
Journal:  Bioinformatics       Date:  2013-02-13       Impact factor: 6.937

5.  Prediction of water and metal binding sites and their affinities by using the Fold-X force field.

Authors:  Joost W H Schymkowitz; Frederic Rousseau; Ivo C Martins; Jesper Ferkinghoff-Borg; Francois Stricher; Luis Serrano
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-08       Impact factor: 11.205

6.  Hot spots for allosteric regulation on protein surfaces.

Authors:  Kimberly A Reynolds; Richard N McLaughlin; Rama Ranganathan
Journal:  Cell       Date:  2011-12-23       Impact factor: 41.582

Review 7.  Sleeping Beauty mutagenesis: exploiting forward genetic screens for cancer gene discovery.

Authors:  Michael B Mann; Nancy A Jenkins; Neal G Copeland; Karen M Mann
Journal:  Curr Opin Genet Dev       Date:  2013-12-20       Impact factor: 5.578

8.  The spatial architecture of protein function and adaptation.

Authors:  Richard N McLaughlin; Frank J Poelwijk; Arjun Raman; Walraj S Gosal; Rama Ranganathan
Journal:  Nature       Date:  2012-10-07       Impact factor: 49.962

9.  I-TASSER server for protein 3D structure prediction.

Authors:  Yang Zhang
Journal:  BMC Bioinformatics       Date:  2008-01-23       Impact factor: 3.169

10.  Molecular architecture of the Mos1 paired-end complex: the structural basis of DNA transposition in a eukaryote.

Authors:  Julia M Richardson; Sean D Colloms; David J Finnegan; Malcolm D Walkinshaw
Journal:  Cell       Date:  2009-09-18       Impact factor: 41.582

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  5 in total

1.  Rigidity and flexibility characteristics of DD[E/D]-transposases Mos1 and Sleeping Beauty.

Authors:  Christopher M Singer; Diana Joy; Donald J Jacobs; Irina V Nesmelova
Journal:  Proteins       Date:  2019-01-10

2.  A single amino acid switch converts the Sleeping Beauty transposase into an efficient unidirectional excisionase with utility in stem cell reprogramming.

Authors:  Lisa Kesselring; Csaba Miskey; Cecilia Zuliani; Irma Querques; Vladimir Kapitonov; Andrea Laukó; Anita Fehér; Antonio Palazzo; Tanja Diem; Janna Lustig; Attila Sebe; Yongming Wang; András Dinnyés; Zsuzsanna Izsvák; Orsolya Barabas; Zoltán Ivics
Journal:  Nucleic Acids Res       Date:  2020-01-10       Impact factor: 16.971

3.  Engineered Sleeping Beauty transposase redirects transposon integration away from genes.

Authors:  Csaba Miskey; Lisa Kesselring; Irma Querques; György Abrusán; Orsolya Barabas; Zoltán Ivics
Journal:  Nucleic Acids Res       Date:  2022-03-21       Impact factor: 16.971

Review 4.  Contemporary Transposon Tools: A Review and Guide through Mechanisms and Applications of Sleeping Beauty, piggyBac and Tol2 for Genome Engineering.

Authors:  Nicolás Sandoval-Villegas; Wasifa Nurieva; Maximilian Amberger; Zoltán Ivics
Journal:  Int J Mol Sci       Date:  2021-05-11       Impact factor: 5.923

5.  RNAi combining Sleeping Beauty transposon system inhibits ex vivo expression of foot-and-mouth disease virus VP1 in transgenic sheep cells.

Authors:  Shoulong Deng; Guangdong Li; Kun Yu; Xiuzhi Tian; Feng Wang; Wenting Li; Wuqi Jiang; Pengyun Ji; Hongbing Han; Juncai Fu; Xiaosheng Zhang; Jinlong Zhang; Yixun Liu; Zhengxing Lian; Guoshi Liu
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

  5 in total

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