Your browser doesn't support javascript.
loading
DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation.
Lee, Ryan C; Douglas, Travis R; Chou, Leo Y T.
Afiliação
  • Lee RC; Institute of Biomedical Engineering, University of Toronto; ryanc.lee@mail.utoronto.ca.
  • Douglas TR; Institute of Biomedical Engineering, University of Toronto.
  • Chou LYT; Institute of Biomedical Engineering, University of Toronto.
J Vis Exp ; (178)2021 12 29.
Article em En | MEDLINE | ID: mdl-35037660
ABSTRACT
DNA nanotechnology enables programmable self-assembly of nucleic acids into user-prescribed shapes and dynamics for diverse applications. This work demonstrates that concepts from DNA nanotechnology can be used to program the enzymatic activity of the phage-derived T7 RNA polymerase (RNAP) and build scalable synthetic gene regulatory networks. First, an oligonucleotide-tethered T7 RNAP is engineered via expression of an N-terminally SNAP-tagged RNAP and subsequent chemical coupling of the SNAP-tag with a benzylguanine (BG)-modified oligonucleotide. Next, nucleic-acid strand displacement is used to program polymerase transcription on-demand. In addition, auxiliary nucleic acid assemblies can be used as "artificial transcription factors" to regulate the interactions between the DNA-programmed T7 RNAP with its DNA templates. This in vitro transcription regulatory mechanism can implement a variety of circuit behaviors such as digital logic, feedback, cascading, and multiplexing. The composability of this gene regulatory architecture facilitates design abstraction, standardization, and scaling. These features will enable the rapid prototyping of in vitro genetic devices for applications such as bio-sensing, disease detection, and data storage.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / Computadores Moleculares Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / Computadores Moleculares Idioma: En Ano de publicação: 2021 Tipo de documento: Article