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High-throughput preparation methods of crude extract for robust cell-free protein synthesis

Overview of attention for article published in Scientific Reports, March 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
6 X users
patent
7 patents
facebook
1 Facebook page

Citations

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314 Dimensions

Readers on

mendeley
572 Mendeley
Title
High-throughput preparation methods of crude extract for robust cell-free protein synthesis
Published in
Scientific Reports, March 2015
DOI 10.1038/srep08663
Pubmed ID
Authors

Yong-Chan Kwon, Michael C. Jewett

Abstract

Crude extract based cell-free protein synthesis (CFPS) has emerged as a powerful technology platform for high-throughput protein production and genetic part characterization. Unfortunately, robust preparation of highly active extracts generally requires specialized and costly equipment and can be labor and time intensive. Moreover, cell lysis procedures can be hard to standardize, leading to different extract performance across laboratories. These challenges limit new entrants to the field and new applications, such as comprehensive genome engineering programs to improve extract performance. To address these challenges, we developed a generalizable and easily accessible high-throughput crude extract preparation method for CFPS based on sonication. To validate our approach, we investigated two Escherichia coli strains: BL21 Star™ (DE3) and a K12 MG1655 variant, achieving similar productivity (defined as CFPS yield in g/L) by varying only a few parameters. In addition, we observed identical productivity of cell extracts generated from culture volumes spanning three orders of magnitude (10 mL culture tubes to 10 L fermentation). We anticipate that our rapid and robust extract preparation method will speed-up screening of genomically engineered strains for CFPS applications, make possible highly active extracts from non-model organisms, and promote a more general use of CFPS in synthetic biology and biotechnology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 572 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
United Kingdom 5 <1%
Brazil 1 <1%
Sweden 1 <1%
Colombia 1 <1%
Lithuania 1 <1%
Korea, Republic of 1 <1%
China 1 <1%
Unknown 555 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 133 23%
Researcher 111 19%
Student > Bachelor 86 15%
Student > Master 50 9%
Student > Doctoral Student 17 3%
Other 59 10%
Unknown 116 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 178 31%
Agricultural and Biological Sciences 121 21%
Engineering 34 6%
Chemistry 33 6%
Chemical Engineering 28 5%
Other 49 9%
Unknown 129 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 26 October 2023.
All research outputs
#748,681
of 24,171,511 outputs
Outputs from Scientific Reports
#8,117
of 131,474 outputs
Outputs of similar age
#9,615
of 260,341 outputs
Outputs of similar age from Scientific Reports
#88
of 1,299 outputs
Altmetric has tracked 24,171,511 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 131,474 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done particularly well, scoring higher than 93% 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 260,341 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1,299 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.