Literature DB >> 17977711

Chromosomal engineering.

Alistair Duncan1, Gyula Hadlaczky.   

Abstract

Artificial chromosomes (ACs) are engineered chromosomes with defined genetic contents that can function as non-integrating vectors with large carrying capacity and stability. The large carrying capacity allows the engineering of ACs with multiple copies of the same transgene, gene complexes, and to include regulatory elements necessary for the regulated expression of transgene(s). Artificial chromosome based systems are composed of AC engineered to harbor and express gene(s) of interest and an appropriate recombination system for 'custom' engineering of ACs. These systems have the potential to become an efficient tool in diverse gene technology applications such as cellular protein manufacturing, transgenic animal production, and ultimately gene therapy. Recent advances in artificial chromosome technologies outline the value of these systems and justify the future research efforts to overcome the obstacles in exploring their full capabilities.

Mesh:

Substances:

Year:  2007        PMID: 17977711     DOI: 10.1016/j.copbio.2007.09.004

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  4 in total

Review 1.  De novo formed satellite DNA-based mammalian artificial chromosomes and their possible applications.

Authors:  Robert L Katona
Journal:  Chromosome Res       Date:  2015-02       Impact factor: 5.239

Review 2.  Chromosomes in the flow to simplify genome analysis.

Authors:  Jaroslav Doležel; Jan Vrána; Jan Safář; Jan Bartoš; Marie Kubaláková; Hana Simková
Journal:  Funct Integr Genomics       Date:  2012-08-16       Impact factor: 3.410

3.  Novel method to load multiple genes onto a mammalian artificial chromosome.

Authors:  Anna Tóth; Katalin Fodor; Tünde Praznovszky; Vilmos Tubak; Andor Udvardy; Gyula Hadlaczky; Robert L Katona
Journal:  PLoS One       Date:  2014-01-15       Impact factor: 3.240

4.  Engineering Synthetic Chromosomes by Sequential Loading of Multiple Genomic Payloads over 100 Kilobase Pairs in Size.

Authors:  Amy Greene; Kara Pascarelli; Dominique Broccoli; Edward Perkins
Journal:  Mol Ther Methods Clin Dev       Date:  2019-04-29       Impact factor: 6.698

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.