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Stable heterologous expression of biologically active terpenoids in green plant cells

Overview of attention for article published in Frontiers in Plant Science, March 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Stable heterologous expression of biologically active terpenoids in green plant cells
Published in
Frontiers in Plant Science, March 2015
DOI 10.3389/fpls.2015.00129
Pubmed ID
Authors

N. Kusaira B. K. Ikram, Xin Zhan, Xi-Wu Pan, Brian C. King, Henrik T. Simonsen

Abstract

Plants biosynthesize a great diversity of biologically active small molecules of interest for fragrances, flavors, and pharmaceuticals. Among specialized metabolites, terpenoids represent the greatest molecular diversity. Many terpenoids are very complex, and total chemical synthesis often requires many steps and difficult chemical reactions, resulting in a low final yield or incorrect stereochemistry. Several drug candidates with terpene skeletons are difficult to obtain by chemical synthesis due to their large number of chiral centers. Thus, biological production remains the preferred method for industrial production for many of these compounds. However, because these chemicals are often found in low abundance in the native plant, or are produced in plants which are difficult to cultivate, there is great interest in engineering increased production or expression of the biosynthetic pathways in heterologous hosts. Although there are many examples of successful engineering of microbes such as yeast or bacteria to produce these compounds, this often requires extensive changes to the host organism's metabolism. Optimization of plant gene expression, post-translational protein modifications, subcellular localization, and other factors often present challenges. To address the future demand for natural products used as drugs, new platforms are being established that are better suited for heterologous production of plant metabolites. Specifically, direct metabolic engineering of plants can provide effective heterologous expression for production of valuable plant-derived natural products. In this review, our primary focus is on small terpenoids and we discuss the benefits of plant expression platforms and provide several successful examples of stable production of small terpenoids in plants.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 1%
India 1 <1%
Canada 1 <1%
Unknown 140 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 22%
Researcher 20 14%
Student > Master 19 13%
Student > Bachelor 15 10%
Student > Doctoral Student 6 4%
Other 24 17%
Unknown 29 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 38%
Biochemistry, Genetics and Molecular Biology 35 24%
Chemical Engineering 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Immunology and Microbiology 3 2%
Other 10 7%
Unknown 33 23%
Attention Score in Context

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 11 November 2015.
All research outputs
#13,080,280
of 22,796,179 outputs
Outputs from Frontiers in Plant Science
#5,860
of 20,077 outputs
Outputs of similar age
#132,995
of 286,004 outputs
Outputs of similar age from Frontiers in Plant Science
#74
of 259 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,077 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 70% 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 286,004 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 52% of its contemporaries.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.