| Title |
Development of an alcohol-inducible gene expression system for recombinant protein expression in Chlamydomonas reinhardtii
|
|---|---|
| Published in |
Journal of Applied Phycology, April 2018
|
| DOI | 10.1007/s10811-018-1480-8 |
| Pubmed ID | |
| Authors |
Sujin Lee, Yong Jae Lee, Saehae Choi, Su-Bin Park, Quynh-Giao Tran, Jina Heo, Hee-Sik Kim |
| Abstract |
Microalgae have been widely considered for the production of valuable products, such as lipid-based biofuel, value-added pigments, and anti-photo aging reagents. More recently, microalgae have been considered an alternative host for recombinant protein production because of their economic benefits and ecofriendly characteristics. Additionally, many microalgal strains identified to date are generally recognized as safe (GRAS); therefore, the use of microalgae-based technology is promising. However, basic studies on the genetic engineering of microalgae are rare, despite their importance. Particularly, inducible promoter systems that can be applied for strain engineering or recombinant protein production are rarely studied; hence, a number of challenging issues remain unsolved. Therefore, in this study, we focused on the development of a convenient and compact-inducible promoter system that can be used in microalgae. Based on previous success with plant systems, we employed the alcohol-inducible AlcR-P alcA system, which originates from the filamentous fungus, Aspergillus nidulans. This system comprises only two components, a regulatory protein, AlcR, and an inducible promoter, P alcA. Therefore, construction and transformation of the gene cassettes can be easily performed. Ethanol-dependent gene expression was observed in the transformants with no significant growth retardation or inducer consumption observed in the cells cultivated under optimized conditions. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 27% |
| France | 2 | 18% |
| Israel | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 24% |
| Student > Master | 11 | 16% |
| Researcher | 8 | 12% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 4 | 6% |
| Other | 4 | 6% |
| Unknown | 17 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 40% |
| Agricultural and Biological Sciences | 17 | 25% |
| Chemical Engineering | 3 | 4% |
| Environmental Science | 1 | 1% |
| Medicine and Dentistry | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 17 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 September 2018.
All research outputs
#5,642,420
of 23,045,021 outputs
Outputs from Journal of Applied Phycology
#315
of 2,562 outputs
Outputs of similar age
#97,374
of 326,481 outputs
Outputs of similar age from Journal of Applied Phycology
#8
of 101 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,562 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.