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

Overview of attention for article published in Analytical Biochemistry, November 2012
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Title
Flow cytometry-based ultra-high-throughput screening assay for cellulase activity
Published in
Analytical Biochemistry, November 2012
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.

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The data shown below were collected from the profile of 1 X user 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Germany 1 <1%
Colombia 1 <1%
China 1 <1%
United States 1 <1%
Unknown 97 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 27%
Researcher 20 19%
Student > Master 11 11%
Student > Bachelor 7 7%
Student > Doctoral Student 6 6%
Other 18 17%
Unknown 13 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 36%
Biochemistry, Genetics and Molecular Biology 25 24%
Engineering 8 8%
Chemistry 7 7%
Chemical Engineering 3 3%
Other 6 6%
Unknown 17 17%
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 2013.
All research outputs
#19,941,498
of 25,378,799 outputs
Outputs from Analytical Biochemistry
#7,770
of 8,550 outputs
Outputs of similar age
#140,371
of 188,544 outputs
Outputs of similar age from Analytical Biochemistry
#23
of 24 outputs
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So far Altmetric has tracked 8,550 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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