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Expression platforms for producing eukaryotic proteins: a comparison of E. coli cell-based and wheat germ cell-free synthesis, affinity and solubility tags, and cloning strategies

Overview of attention for article published in Journal of Structural and Functional Genomics, April 2015
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Title
Expression platforms for producing eukaryotic proteins: a comparison of E. coli cell-based and wheat germ cell-free synthesis, affinity and solubility tags, and cloning strategies
Published in
Journal of Structural and Functional Genomics, April 2015
DOI 10.1007/s10969-015-9198-1
Pubmed ID
Authors

David J. Aceti, Craig A. Bingman, Russell L. Wrobel, Ronnie O. Frederick, Shin-ichi Makino, Karl W. Nichols, Sarata C. Sahu, Lai F. Bergeman, Paul G. Blommel, Claudia C. Cornilescu, Katarzyna A. Gromek, Kory D. Seder, Soyoon Hwang, John G. Primm, Grzegorz Sabat, Frank C. Vojtik, Brian F. Volkman, Zsolt Zolnai, George N. Phillips, John L. Markley, Brian G. Fox

Abstract

Vectors designed for protein production in Escherichia coli and by wheat germ cell-free translation were tested using 21 well-characterized eukaryotic proteins chosen to serve as controls within the context of a structural genomics pipeline. The controls were carried through cloning, small-scale expression trials, large-scale growth or synthesis, and purification. Successfully purified proteins were also subjected to either crystallization trials or (1)H-(15)N HSQC NMR analyses. Experiments evaluated: (1) the relative efficacy of restriction/ligation and recombinational cloning systems; (2) the value of maltose-binding protein (MBP) as a solubility enhancement tag; (3) the consequences of in vivo proteolysis of the MBP fusion as an alternative to post-purification proteolysis; (4) the effect of the level of LacI repressor on the yields of protein obtained from E. coli using autoinduction; (5) the consequences of removing the His tag from proteins produced by the cell-free system; and (6) the comparative performance of E. coli cells or wheat germ cell-free translation. Optimal promoter/repressor and fusion tag configurations for each expression system are discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 34%
Student > Ph. D. Student 8 25%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Professor > Associate Professor 2 6%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 41%
Agricultural and Biological Sciences 8 25%
Chemistry 3 9%
Chemical Engineering 1 3%
Psychology 1 3%
Other 1 3%
Unknown 5 16%
Attention Score in Context

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 19 February 2016.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from Journal of Structural and Functional Genomics
#97
of 107 outputs
Outputs of similar age
#224,026
of 264,856 outputs
Outputs of similar age from Journal of Structural and Functional Genomics
#2
of 2 outputs
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So far Altmetric has tracked 107 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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