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A novel PCR-based method for high throughput prokaryotic expression of antimicrobial peptide genes

Overview of attention for article published in BMC Biotechnology, March 2012
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1 tweeter

Citations

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11 Dimensions

Readers on

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48 Mendeley
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Title
A novel PCR-based method for high throughput prokaryotic expression of antimicrobial peptide genes
Published in
BMC Biotechnology, March 2012
DOI 10.1186/1472-6750-12-10
Pubmed ID
Authors

Tao Ke, Su Liang, Jin Huang, Han Mao, Jibao Chen, Caihua Dong, Junyan Huang, Shengyi Liu, Jianxiong Kang, Dongqi Liu, Xiangdong Ma

Abstract

To facilitate the screening of large quantities of new antimicrobial peptides (AMPs), we describe a cost-effective method for high throughput prokaryotic expression of AMPs. EDDIE, an autoproteolytic mutant of the N-terminal autoprotease, Npro, from classical swine fever virus, was selected as a fusion protein partner. The expression system was used for high-level expression of six antimicrobial peptides with different sizes: Bombinin-like peptide 7, Temporin G, hexapeptide, Combi-1, human Histatin 9, and human Histatin 6. These expressed AMPs were purified and evaluated for antimicrobial activity.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Portugal 1 2%
Denmark 1 2%
Uruguay 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 10 21%
Student > Postgraduate 8 17%
Student > Bachelor 3 6%
Student > Master 3 6%
Other 8 17%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 54%
Biochemistry, Genetics and Molecular Biology 8 17%
Chemistry 3 6%
Medicine and Dentistry 2 4%
Economics, Econometrics and Finance 2 4%
Other 4 8%
Unknown 3 6%

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 25 March 2012.
All research outputs
#3,078,374
of 4,507,211 outputs
Outputs from BMC Biotechnology
#303
of 377 outputs
Outputs of similar age
#46,595
of 75,454 outputs
Outputs of similar age from BMC Biotechnology
#7
of 11 outputs
Altmetric has tracked 4,507,211 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 377 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.