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Overexpression of an antimicrobial peptide derived from C. elegans using an aggregation-prone protein coexpression system

Overview of attention for article published in AMB Express, August 2013
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Title
Overexpression of an antimicrobial peptide derived from C. elegans using an aggregation-prone protein coexpression system
Published in
AMB Express, August 2013
DOI 10.1186/2191-0855-3-45
Pubmed ID
Authors

Satoshi Tomisawa, Eri Hojo, Yoshitaka Umetsu, Shinya Ohki, Yusuke Kato, Mitsuhiro Miyazawa, Mineyuki Mizuguchi, Masakatsu Kamiya, Yasuhiro Kumaki, Takashi Kikukawa, Keiichi Kawano, Makoto Demura, Tomoyasu Aizawa

Abstract

Antibacterial factor 2 (ABF-2) is a 67-residue antimicrobial peptide derived from the nematode Caenorhabditis elegans. Although it has been reported that ABF-2 exerts in vitro microbicidal activity against a range of bacteria and fungi, the structure of ABF-2 has not yet been solved. To enable structural studies of ABF-2 by NMR spectroscopy, a large amount of isotopically labeled ABF-2 is essential. However, the direct expression of ABF-2 in Escherichia coli is difficult to achieve due to its instability. Therefore, we applied a coexpression method to the production of ABF-2 in order to enhance the inclusion body formation of ABF-2. The inclusion body formation of ABF-2 was vastly enhanced by coexpression of aggregation-prone proteins (partner proteins). By using this method, we succeeded in obtaining milligram quantities of active, correctly folded ABF-2. In addition, 15 N-labeled ABF-2 and a well-dispersed heteronuclear single quantum coherence (HSQC) spectrum were also obtained successfully. Moreover, the effect of the charge of the partner protein on the inclusion body formation of ABF-2 in this method was investigated by using four structurally homologous proteins. We concluded that a partner protein of opposite charge enhanced the formation of an inclusion body of the target peptide efficiently.

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Mendeley readers

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The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Student > Bachelor 5 17%
Researcher 3 10%
Student > Postgraduate 3 10%
Professor > Associate Professor 2 7%
Other 5 17%
Unknown 5 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 43%
Agricultural and Biological Sciences 7 23%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Neuroscience 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 7 23%
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 21 August 2013.
All research outputs
#18,343,746
of 22,716,996 outputs
Outputs from AMB Express
#796
of 1,229 outputs
Outputs of similar age
#146,474
of 196,016 outputs
Outputs of similar age from AMB Express
#4
of 7 outputs
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