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Massively parallel determination and modeling of endonuclease substrate specificity.
Thyme, Summer B; Song, Yifan; Brunette, T J; Szeto, Mindy D; Kusak, Lara; Bradley, Philip; Baker, David.
Afiliação
  • Thyme SB; Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA sthyme@gmail.com.
  • Song Y; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
  • Brunette TJ; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
  • Szeto MD; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
  • Kusak L; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA.
  • Bradley P; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA.
  • Baker D; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue, Seattle, WA 98109, USA dabaker@u.washington.edu.
Nucleic Acids Res ; 42(22): 13839-52, 2014 Dec 16.
Article em En | MEDLINE | ID: mdl-25389263
ABSTRACT
We describe the identification and characterization of novel homing endonucleases using genome database mining to identify putative target sites, followed by high throughput activity screening in a bacterial selection system. We characterized the substrate specificity and kinetics of these endonucleases by monitoring DNA cleavage events with deep sequencing. The endonuclease specificities revealed by these experiments can be partially recapitulated using 3D structure-based computational models. Analysis of these models together with genome sequence data provide insights into how alternative endonuclease specificities were generated during natural evolution.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Endodesoxirribonucleases Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Endodesoxirribonucleases Idioma: En Ano de publicação: 2014 Tipo de documento: Article