Title |
Marker-free plasmids for biotechnological applications – implications and perspectives
|
---|---|
Published in |
Trends in Biotechnology, July 2013
|
DOI | 10.1016/j.tibtech.2013.06.001 |
Pubmed ID | |
Authors |
Pedro H. Oliveira, Juergen Mairhofer |
Abstract |
Nonviral gene therapy and DNA vaccines have become the first promising approaches to treat, cure, or ultimately prevent disease by providing genetic information encoded on a plasmid. Since 1989, more than 1800 clinical trials have been approved worldwide, and approximately 20% of them are using plasmid DNA (pDNA) as a vector system. Although much safer than viral approaches, DNA vectors generally do encode antibiotic resistance genes in the plasmid backbone. These antibiotic resistance markers constitute a possible safety risk, and they are associated with structural plasmid instabilities and decreased gene delivery efficiency. These drawbacks have initiated the development of various antibiotic marker-free selection approaches. We provide an overview on the potential implications of marker-free plasmids and perspectives for their successful biotechnological use in the future. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 40% |
Austria | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 2 | 40% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
France | 2 | 1% |
Pakistan | 1 | <1% |
Ireland | 1 | <1% |
Portugal | 1 | <1% |
Kenya | 1 | <1% |
Austria | 1 | <1% |
Egypt | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 0 | 0% |
Unknown | 157 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 37 | 22% |
Student > Ph. D. Student | 30 | 18% |
Student > Master | 29 | 17% |
Student > Bachelor | 25 | 15% |
Student > Doctoral Student | 6 | 4% |
Other | 27 | 16% |
Unknown | 15 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 78 | 46% |
Biochemistry, Genetics and Molecular Biology | 40 | 24% |
Medicine and Dentistry | 6 | 4% |
Engineering | 5 | 3% |
Chemistry | 4 | 2% |
Other | 19 | 11% |
Unknown | 17 | 10% |