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High-level expression of a novel liver-targeting fusion interferon with preferred Escherichia coli codon preference and its anti-hepatitis B virus activity in vivo

Overview of attention for article published in BMC Biotechnology, June 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

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2 tweeters

Readers on

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19 Mendeley
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Title
High-level expression of a novel liver-targeting fusion interferon with preferred Escherichia coli codon preference and its anti-hepatitis B virus activity in vivo
Published in
BMC Biotechnology, June 2015
DOI 10.1186/s12896-015-0177-1
Pubmed ID
Authors

Xuemei Lu, Jie Wang, Xiaobao Jin, Jiayong Zhu

Abstract

In our previous study, a novel liver-targeting fusion interferon (IFN-CSP) combining IFN α2b with plasmodium region I peptide was successfully constructed. IFN-CSP has significant inhibition effects on HBV-DNA replication in HepG2.2.15 cells. The aim of the present investigation was focused on how to produce high levels of recombinant IFN-CSP and its in vivo anti-hepatitis B virus (HBV) activity. A modified DNA fragment encoding IFN-CSP was synthesized according to Escherichia coli (E. coli) preferred codon usage and transformed into E. coli BL21 (DE3) for protein expression. The induction conditions were systematically examined by combining one-factor experiments with an orthogonal test (L(9)(3)(4)). The antigenicity of the purified protein was characterized by western blot analysis. The in vivo tissue distribution were assayed and compared with native IFN α2b. HBV-transgenic mice were used as in vivo model to evaluate the anti-HBV effect of the recombinant IFN-CSP. The results showed that the E. coli expression system was very efficient to produce target protein. Our current research demonstrates for the first time that IFN-CSP gene can be expressed at high levels in E. coli through codon and expression conditions optimization. The purified recombinant IFN-CSP showed liver-targeting potentiality and anti-HBV activity in vivo. The present study further supported the application of IFN-CSP in liver-targeting anti-HBV medicines.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 32%
Student > Bachelor 3 16%
Student > Master 2 11%
Student > Ph. D. Student 2 11%
Lecturer 1 5%
Other 2 11%
Unknown 3 16%
Readers by discipline Count As %
Medicine and Dentistry 6 32%
Agricultural and Biological Sciences 4 21%
Immunology and Microbiology 2 11%
Arts and Humanities 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 11%
Unknown 3 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 June 2015.
All research outputs
#7,141,790
of 12,373,386 outputs
Outputs from BMC Biotechnology
#442
of 695 outputs
Outputs of similar age
#105,867
of 233,928 outputs
Outputs of similar age from BMC Biotechnology
#3
of 3 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 695 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 33rd percentile – i.e., 33% 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 233,928 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 51% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.