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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
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% |