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Inducible gene expression system by 3-hydroxypropionic acid

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, October 2015
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Title
Inducible gene expression system by 3-hydroxypropionic acid
Published in
Biotechnology for Biofuels and Bioproducts, October 2015
DOI 10.1186/s13068-015-0353-5
Pubmed ID
Authors

Shengfang Zhou, Satish Kumar Ainala, Eunhee Seol, Trinh Thi Nguyen, Sunghoon Park

Abstract

3-Hydroxypropionic acid (3-HP) is an important platform chemical that boasts a variety of industrial applications. Gene expression systems inducible by 3-HP, if available, are of great utility for optimization of the pathways of 3-HP production and excretion. Here we report the presence of unique inducible gene expression systems in Pseudomonas denitrificans and other microorganisms. In P. denitrificans, transcription of three genes (hpdH, mmsA and hbdH-4) involved in 3-HP degradation was upregulated by 3-HP by the action of a transcriptional regulator protein, LysR, and a cis-acting regulatory site for LysR binding. Similar inducible systems having an LysR transcriptional regulator were identified in other microorganisms that also could degrade 3-HP. A docking study showed that the 3-HP binding pocket is located between the N-terminal helix-turn-helix motif and the C-terminal cofactor-binding domain. This LysR-regulated 3-HP-inducible system should prove useful for control of the level of gene expression in response to 3-HP.

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Mendeley readers

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 %
China 1 1%
Unknown 66 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Student > Master 11 16%
Researcher 8 12%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 10 15%
Unknown 15 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 31%
Agricultural and Biological Sciences 19 28%
Engineering 4 6%
Chemical Engineering 2 3%
Immunology and Microbiology 2 3%
Other 3 4%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 October 2015.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#997
of 1,578 outputs
Outputs of similar age
#176,398
of 294,426 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#26
of 48 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 294,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.