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Auto-induction expression of human consensus interferon-alpha in Escherichia coli

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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 385)
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 news outlet
twitter
1 tweeter

Citations

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8 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Auto-induction expression of human consensus interferon-alpha in Escherichia coli
Published in
BMC Biotechnology, March 2015
DOI 10.1186/s12896-015-0128-x
Pubmed ID
Authors

Nawal Abd EL-Baky, Mustafa H Linjawi, Elrashdy M Redwan

Abstract

Isopropyl-β-D-1-thiolgalactopyranoside (IPTG)-inducible expression of recombinant proteins in E. coli is commonly used and effective. Nevertheless, unintended induction was encountered as a problem when using these bacterial expression systems, generating cultures that give reduced or variable protein yields. Auto-induction allows for production of much higher target protein yield and cell mass than conventional procedures using induction with IPTG without monitoring cell growth then adding IPTG at the appropriate cell density. This method involves special media recipes that promote growth to high density and automatically induce expression of target protein from T7 promoter. Consensus interferon is a synthetic artificially engineered interferon having an amino acid sequence that is a rough average of the sequences of all natural human alpha interferon subtypes and has greater potency than other interferons even the pegylated versions. The purpose of this study was high-level expression of human consensus interferon-alpha (cIFN-α) in E. coli using an auto-induction protocol. The cIFN-α gene was cloned into pET101/D-TOPO expression vector under the T7 promoter transcriptional regulation. Expression was optimized with respect to temperature and length of incubation in shake flask cultures. The antiviral potency and anticancer activity of cIFN-α were evaluated in comparison to IFN-α2a. The expressed cIFN-α protein in auto-induction T7 system was found mostly in soluble fraction of the cell lysate (about 70% of yield in total cell lysate) after lowering incubation temperature to 25°C or 30°C. Protein expression was maximal after 24 h incubation at 25°C or 30°C. After purification via single-step chromatography using DEAE-Sepharose, the yield was 270 mg/L in shake flask E. coli cultures which is much higher than IPTG-inducible T7 expression system and other systems according to available data. The synthesized cIFN-α was biologically active as confirmed by its anticancer and antiviral effects and was significantly more potent than IFN-α2a. The auto-induction process was reliable and convenient for production of cIFN-α protein in E. coli, and can be adapted for large-scale therapeutic protein production.

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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Austria 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Master 5 22%
Student > Bachelor 4 17%
Researcher 3 13%
Student > Postgraduate 2 9%
Other 2 9%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 26%
Biochemistry, Genetics and Molecular Biology 6 26%
Pharmacology, Toxicology and Pharmaceutical Science 3 13%
Chemical Engineering 1 4%
Unspecified 1 4%
Other 4 17%
Unknown 2 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 06 March 2015.
All research outputs
#452,231
of 4,840,066 outputs
Outputs from BMC Biotechnology
#46
of 385 outputs
Outputs of similar age
#22,409
of 144,558 outputs
Outputs of similar age from BMC Biotechnology
#10
of 26 outputs
Altmetric has tracked 4,840,066 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 385 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 83% of its peers.
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 144,558 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.