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Flow cytometry-based ultra-high-throughput screening assay for cellulase activity

Overview of attention for article published in Analytical Biochemistry, April 2013
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1 Facebook page

Citations

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Title
Flow cytometry-based ultra-high-throughput screening assay for cellulase activity
Published in
Analytical Biochemistry, April 2013
DOI 10.1016/j.ab.2012.10.043
Pubmed ID
Authors

Raluca Ostafe, Radivoje Prodanovic, Ulrich Commandeur, Rainer Fischer

Abstract

We have developed a novel, ultra-high-throughput screening assay for the detection of cellulase activity based on fluorescence-activated cell sorting (FACS) and double emulsion technology. Cellulase activity is detected using a series of coupled enzymes, including hexose oxidase (HOx), which generates hydrogen peroxide from the reducing sugars released by cellulases in the presence of any natural or artificial substrate. The assay can be adapted to suit a microtiter plate format, but the highest throughput is achieved by using FACS to screen high-complexity cellulase clone libraries. Using this approach, we achieved a 12-fold enrichment of positive (cellulase-expressing) cells in cellulase reference libraries after just one sorting round.

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

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Colombia 1 1%
Germany 1 1%
China 1 1%
United States 1 1%
Unknown 91 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 31%
Researcher 21 22%
Student > Master 10 10%
Student > Bachelor 5 5%
Student > Doctoral Student 5 5%
Other 17 18%
Unknown 9 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 37%
Biochemistry, Genetics and Molecular Biology 23 24%
Engineering 8 8%
Chemistry 7 7%
Chemical Engineering 3 3%
Other 6 6%
Unknown 14 14%

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 2013.
All research outputs
#9,294,137
of 12,101,499 outputs
Outputs from Analytical Biochemistry
#6,413
of 6,944 outputs
Outputs of similar age
#86,049
of 129,483 outputs
Outputs of similar age from Analytical Biochemistry
#19
of 21 outputs
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So far Altmetric has tracked 6,944 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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