↓ Skip to main content

A fluorescence-based assay suitable for quantitative analysis of deadenylase enzyme activity

Overview of attention for article published in Nucleic Acids Research, October 2013
Altmetric Badge

Mentioned by

twitter
2 X users

Readers on

mendeley
69 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
A fluorescence-based assay suitable for quantitative analysis of deadenylase enzyme activity
Published in
Nucleic Acids Research, October 2013
DOI 10.1093/nar/gkt972
Pubmed ID
Authors
Abstract

In eukaryotic cells, the shortening and removal of the poly(A) tail of cytoplasmic mRNA by deadenylase enzymes is a critical step in post-transcriptional gene regulation. The ribonuclease activity of deadenylase enzymes is attributed to either a DEDD (Asp-Glu-Asp-Asp) or an endonuclease-exonuclease-phosphatase domain. Both domains require the presence of two Mg2+ ions in the active site. To facilitate the biochemical analysis of deadenylase enzymes, we have developed a fluorescence-based deadenylase assay. The assay is based on end-point measurement, suitable for quantitative analysis and can be adapted for 96- and 384-well microplate formats. We demonstrate the utility of the assay by screening a chemical compound library, resulting in the identification of non-nucleoside inhibitors of the Caf1/CNOT7 enzyme, a catalytic subunit of the Ccr4-Not deadenylase complex. These compounds may be useful tools for the biochemical analysis of the Caf1/CNOT7 deadenylase subunit of the Ccr4-Not complex and indicate the feasibility of developing selective inhibitors of deadenylase enzymes using the fluorescence-based assay.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Germany 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 23%
Researcher 12 17%
Student > Master 9 13%
Student > Bachelor 8 12%
Lecturer 2 3%
Other 5 7%
Unknown 17 25%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 25%
Chemistry 11 16%
Agricultural and Biological Sciences 10 14%
Pharmacology, Toxicology and Pharmaceutical Science 6 9%
Engineering 3 4%
Other 3 4%
Unknown 19 28%
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 09 May 2017.
All research outputs
#17,700,887
of 22,727,570 outputs
Outputs from Nucleic Acids Research
#23,356
of 26,314 outputs
Outputs of similar age
#151,741
of 212,687 outputs
Outputs of similar age from Nucleic Acids Research
#299
of 396 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,314 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 212,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 396 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.