↓ Skip to main content

PLOS

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
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
100 Mendeley
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.

X Demographics

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%