| Title |
Design Parameters to Control Synthetic Gene Expression in Escherichia coli
|
|---|---|
| Published in |
PLOS ONE, September 2009
|
| DOI | 10.1371/journal.pone.0007002 |
| Pubmed ID | |
| Authors |
Mark Welch, Sridhar Govindarajan, Jon E. Ness, Alan Villalobos, Austin Gurney, Jeremy Minshull, Claes Gustafsson |
| Abstract |
Production of proteins as therapeutic agents, research reagents and molecular tools frequently depends on expression in heterologous hosts. Synthetic genes are increasingly used for protein production because sequence information is easier to obtain than the corresponding physical DNA. Protein-coding sequences are commonly re-designed to enhance expression, but there are no experimentally supported design principles. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 27% |
| United Kingdom | 3 | 20% |
| Australia | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 87% |
| Scientists | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 921 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 33 | 4% |
| United Kingdom | 13 | 1% |
| Germany | 4 | <1% |
| France | 3 | <1% |
| Japan | 3 | <1% |
| Belgium | 3 | <1% |
| Australia | 3 | <1% |
| Sweden | 2 | <1% |
| Canada | 2 | <1% |
| Other | 19 | 2% |
| Unknown | 836 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 260 | 28% |
| Student > Ph. D. Student | 225 | 24% |
| Student > Master | 84 | 9% |
| Student > Bachelor | 76 | 8% |
| Other | 51 | 6% |
| Other | 144 | 16% |
| Unknown | 81 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 472 | 51% |
| Biochemistry, Genetics and Molecular Biology | 186 | 20% |
| Engineering | 48 | 5% |
| Chemistry | 28 | 3% |
| Computer Science | 20 | 2% |
| Other | 74 | 8% |
| Unknown | 93 | 10% |