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Rapid monitoring of the target protein expression with a fluorescent signal based on a dicistronic construct in Escherichia coli

Overview of attention for article published in AMB Express, May 2018
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Title
Rapid monitoring of the target protein expression with a fluorescent signal based on a dicistronic construct in Escherichia coli
Published in
AMB Express, May 2018
DOI 10.1186/s13568-018-0612-5
Pubmed ID
Authors

Chang-Ye Hui, Yan Guo, Wen Zhang, Xian-Qing Huang

Abstract

Real-time quantification of recombinant proteins is important in studies on fermentation engineering, cell engineering, etc. Measurement of the expression level of heterologous proteins in bacterial fermentation broth has traditionally relied on time-consuming and labor-intensive procedures, such as polyacrylamide gel electrophoresis, immunoblot analysis, and biological activity assays. We describe a simple, fast, and high sensitive assay for detecting heterologous proteins production in bacteria either at the overall level (fluorescence spectrophotometry) or at the individual level (fluorescence microscopic image) in this study. Based on a dicistronic model, the translation of target gene in the upstream open reading frame (ORF) was coupled with the synthesis of the mCherry reporter in the downstream ORF in E. coli cells, and subsequently this demonstrated a positive correlation between the expression of target gene and mCherry. Although a time lag exists between the expression of target protein and mCherry reporter, the method described here allows facile monitoring of dynamic changes in target protein expression, relying on indirect determination of the fluorescence intensity of mCherry during fermentation in real-time models. Additionally, the performance of a single bacterial cell factory could be checked under the fluorescence microscope field.

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Researcher 6 25%
Student > Bachelor 5 21%
Student > Master 3 13%
Professor 1 4%
Other 1 4%
Unknown 2 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 46%
Agricultural and Biological Sciences 7 29%
Immunology and Microbiology 2 8%
Chemistry 1 4%
Unknown 3 13%

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 22 May 2018.
All research outputs
#11,534,580
of 12,980,529 outputs
Outputs from AMB Express
#729
of 823 outputs
Outputs of similar age
#236,067
of 271,377 outputs
Outputs of similar age from AMB Express
#23
of 23 outputs
Altmetric has tracked 12,980,529 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 823 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 23 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.