| Title |
Simultaneous production and partitioning of heterologous polyketide and isoprenoid natural products in an Escherichia coli two-phase bioprocess
|
|---|---|
| Published in |
Journal of Industrial Microbiology & Biotechnology, April 2011
|
| DOI | 10.1007/s10295-011-0969-9 |
| Pubmed ID | |
| Authors |
Brett A Boghigian, Melissa Myint, Jiequn Wu, Blaine A Pfeifer |
| Abstract |
Natural products have long served as rich sources of drugs possessing a wide range of pharmacological activities. The discovery and development of natural product drug candidates is often hampered by the inability to efficiently scale and produce a molecule of interest, due to inherent qualities of the native producer. Heterologous biosynthesis in an engineering and process-friendly host emerged as an option to produce complex natural products. Escherichia coli has previously been utilized to produce complex precursors to two popular natural product drugs, erythromycin and paclitaxel. These two molecules represent two of the largest classes of natural products, polyketides and isoprenoids, respectively. In this study, we have developed a platform E. coli strain capable of simultaneous production of both product precursors at titers greater than 15 mg l(-1). The utilization of a two-phase batch bioreactor allowed for very strong in situ separation (having a partitioning coefficient of greater than 5,000), which would facilitate downstream purification processes. The system developed here could also be used in metagenomic studies to screen environmental DNA for natural product discovery and preliminary production experiments. |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 1% |
| France | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 67 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 25% |
| Researcher | 17 | 24% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 9 | 13% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 35% |
| Chemistry | 10 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 14% |
| Engineering | 7 | 10% |
| Chemical Engineering | 5 | 7% |
| Other | 10 | 14% |
| Unknown | 5 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 June 2019.
All research outputs
#7,451,584
of 22,780,967 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#439
of 1,302 outputs
Outputs of similar age
#39,937
of 109,021 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#7
of 11 outputs
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So far Altmetric has tracked 1,302 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.