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2A and the Auxin-Based Degron System Facilitate Control of Protein Levels in Plasmodium falciparum

Overview of attention for article published in PLOS ONE, November 2013
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Title
2A and the Auxin-Based Degron System Facilitate Control of Protein Levels in Plasmodium falciparum
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0078661
Pubmed ID
Authors

Andrea Kreidenweiss, Annika V. Hopkins, Benjamin Mordmüller

Abstract

Analysis of gene function in Plasmodium falciparum, the most important human malaria parasite, is restricted by the lack of robust and simple reverse genetic tools. Approaches to manipulate protein levels post-translationally are powerful tools to study protein-off effects especially in the haploid malaria parasite where genetic knockouts of essential genes are lethal. We investigated if the auxin-inducible degron system is functional in P. falciparum and found that degron-tagged yellow fluorescent protein levels were efficiently reduced upon addition of auxin which otherwise had no effect on parasite viability. The genetic components required in this conditional approach were co-expressed in P. falciparum by applying the small peptide 2A. 2A is a self-processing peptide from Foot-And-Mouth Disease virus that allows the whole conditional system to be accommodated on a single plasmid vector and ensures stoichiometric expression levels.

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X Demographics

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

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Unknown 98 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 25%
Student > Ph. D. Student 22 22%
Student > Master 13 13%
Student > Bachelor 9 9%
Student > Doctoral Student 5 5%
Other 12 12%
Unknown 14 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 44%
Biochemistry, Genetics and Molecular Biology 24 24%
Medicine and Dentistry 5 5%
Chemistry 3 3%
Computer Science 2 2%
Other 7 7%
Unknown 15 15%
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 14 November 2013.
All research outputs
#20,210,424
of 22,731,677 outputs
Outputs from PLOS ONE
#173,173
of 194,033 outputs
Outputs of similar age
#184,988
of 212,391 outputs
Outputs of similar age from PLOS ONE
#4,467
of 5,143 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 1st percentile – i.e., 1% 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 212,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,143 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.