Your browser doesn't support javascript.
loading
Plant-Based Biosensors for Detecting CRISPR-Mediated Genome Engineering.
Yuan, Guoliang; Hassan, Md Mahmudul; Yao, Tao; Lu, Haiwei; Vergara, Michael Melesse; Labbé, Jesse L; Muchero, Wellington; Pan, Changtian; Chen, Jin-Gui; Tuskan, Gerald A; Qi, Yiping; Abraham, Paul E; Yang, Xiaohan.
Afiliação
  • Yuan G; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Hassan MM; The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Yao T; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Lu H; The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Vergara MM; Department of Genetics and Plant Breeding, Patuakhali Science and Technology University, Dumki, Patuakhali 8602, Bangladesh.
  • Labbé JL; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Muchero W; The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Pan C; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Chen JG; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Tuskan GA; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Qi Y; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Abraham PE; The Center for Bioenergy Innovation, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States.
  • Yang X; Department of Plant Science and Landscape Architecture, University of Maryland, College Park, Maryland 20742, United States.
ACS Synth Biol ; 10(12): 3600-3603, 2021 12 17.
Article em En | MEDLINE | ID: mdl-34878784
ABSTRACT
CRISPR/Cas has recently emerged as the most reliable system for genome engineering in various species. However, concerns about risks associated with the CRISPR/Cas technology are increasing on potential unintended DNA changes that might accidentally arise from CRISPR gene editing. Developing a system that can detect and report the presence of active CRISPR/Cas tools in biological systems is therefore very necessary. Here, we developed four real-time detection systems that can spontaneously indicate the presence of active CRISPR-Cas tools for genome editing and gene regulation including CRISPR/Cas9 nuclease, base editing, prime editing, and CRISPRa in plants. Using the fluorescence-based molecular biosensors, we demonstrated that the activities of CRISPR/Cas9 nuclease, base editing, prime editing, and CRISPRa can be effectively detected in transient expression via protoplast transformation and leaf infiltration (in Arabidopsis, poplar, and tobacco) and stable transformation in Arabidopsis.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Sistemas CRISPR-Cas Idioma: En Revista: ACS Synth Biol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Sistemas CRISPR-Cas Idioma: En Revista: ACS Synth Biol Ano de publicação: 2021 Tipo de documento: Article