Literature DB >> 25967058

Engineering aptazyme switches for conditional gene expression in mammalian cells utilizing an in vivo screening approach.

Charlotte Rehm1, Benedikt Klauser, Jörg S Hartig.   

Abstract

Artificial RNA switches are an emerging class of genetic controllers suitable for synthetic biology applications. Aptazymes are fusions composed of an aptamer domain and a self-cleaving ribozyme. The utilization of aptazymes for conditional gene expression displays several advantages over employing conventional transcription factor-based techniques as aptazymes require minimal genomic space, fulfill their function without the need of protein cofactors, and most importantly are reprogrammable with respect to ligand selectivity and the RNA function to be regulated. Technologies that enable the generation of aptazymes to defined input ligands are of interest for the construction of biocomputing devices and biosensing applications. In this chapter we present a method that facilitates the in vivo screening of randomized pools of aptazymes in mammalian cells.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25967058     DOI: 10.1007/978-1-4939-2730-2_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  A Theophylline-Responsive Riboswitch Regulates Expression of Nuclear-Encoded Genes.

Authors:  Nana Shanidze; Felina Lenkeit; Jörg S Hartig; Dietmar Funck
Journal:  Plant Physiol       Date:  2019-11-08       Impact factor: 8.340

2.  Biomedical Applications of RNA-Based Devices.

Authors:  Cameron M Kim; Christina D Smolke
Journal:  Curr Opin Biomed Eng       Date:  2017-10-18

Review 3.  Thirty-five years of research into ribozymes and nucleic acid catalysis: where do we stand today?

Authors:  Sabine Müller; Bettina Appel; Darko Balke; Robert Hieronymus; Claudia Nübel
Journal:  F1000Res       Date:  2016-06-27

4.  Rational design of aptazyme riboswitches for efficient control of gene expression in mammalian cells.

Authors:  Guocai Zhong; Haimin Wang; Charles C Bailey; Guangping Gao; Michael Farzan
Journal:  Elife       Date:  2016-11-02       Impact factor: 8.140

5.  CRISPR signal conductor 2.0 for redirecting cellular information flow.

Authors:  Yonghao Zhan; Aolin Li; Congcong Cao; Yuchen Liu
Journal:  Cell Discov       Date:  2022-03-15       Impact factor: 10.849

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.