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Integrating CRISPR-Enabled Trackable Genome Engineering and Transcriptomic Analysis of Global Regulators for Antibiotic Resistance Selection and Identification in Escherichia coli.
Chen, Cong; Choudhury, Alaksh; Zhang, Shuanghong; Garst, Andrew D; Song, Xin; Liu, Xunli; Chen, Tao; Gill, Ryan T; Wang, Zhiwen.
Afiliación
  • Chen C; Key Laboratory of Systems Bioengineering (Ministry of Education), SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.
  • Choudhury A; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA.
  • Zhang S; Key Laboratory of Systems Bioengineering (Ministry of Education), SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.
  • Garst AD; Inscripta Inc., Boulder, Colorado, USA.
  • Song X; College of Forestry, Shandong Agricultural University, Taian, Shandong Province, China.
  • Liu X; College of Forestry, Shandong Agricultural University, Taian, Shandong Province, China.
  • Chen T; Key Laboratory of Systems Bioengineering (Ministry of Education), SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), School of Chemical Engineering and Technology, Tianjin University, Tianjin, China.
  • Gill RT; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, Colorado, USA.
  • Wang Z; Key Laboratory of Systems Bioengineering (Ministry of Education), SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), School of Chemical Engineering and Technology, Tianjin University, Tianjin, China zww@tju.edu.cn.
mSystems ; 5(2)2020 Apr 21.
Article en En | MEDLINE | ID: mdl-32317390

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: MSystems Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: MSystems Año: 2020 Tipo del documento: Article País de afiliación: China