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Identification of Genes Affecting Vacuole Membrane Fragmentation in Saccharomyces cerevisiae

Overview of attention for article published in PLOS ONE, February 2013
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Title
Identification of Genes Affecting Vacuole Membrane Fragmentation in Saccharomyces cerevisiae
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0054160
Pubmed ID
Authors

Lydie Michaillat, Andreas Mayer

Abstract

The equilibrium of membrane fusion and fission influences the volume and copy number of organelles. Fusion of yeast vacuoles has been well characterized but their fission and the mechanisms determining vacuole size and abundance remain poorly understood. We therefore attempted to systematically characterize factors necessary for vacuole fission. Here, we present results of an in vivo screening for deficiencies in vacuolar fragmentation activity of an ordered collection deletion mutants, representing 4881 non-essential genes of the yeast Saccharomyces cerevisiae. The screen identified 133 mutants with strong defects in vacuole fragmentation. These comprise numerous known fragmentation factors, such as the Fab1p complex, Tor1p, Sit4p and the V-ATPase, thus validating the approach. The screen identified many novel factors promoting vacuole fragmentation. Among those are 22 open reading frames of unknown function and three conspicuous clusters of proteins with known function. The clusters concern the ESCRT machinery, adaptins, and lipases, which influence the production of diacylglycerol and phosphatidic acid. A common feature of these factors of known function is their capacity to change membrane curvature, suggesting that they might promote vacuole fragmentation via this property.

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Mendeley readers

The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
Italy 2 1%
United States 2 1%
Austria 1 <1%
Chile 1 <1%
Thailand 1 <1%
Canada 1 <1%
Unknown 172 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 24%
Student > Master 27 15%
Researcher 24 13%
Student > Bachelor 21 11%
Professor 8 4%
Other 25 14%
Unknown 34 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 83 45%
Biochemistry, Genetics and Molecular Biology 47 26%
Immunology and Microbiology 5 3%
Medicine and Dentistry 3 2%
Unspecified 1 <1%
Other 6 3%
Unknown 38 21%
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 03 February 2013.
All research outputs
#20,180,477
of 22,694,633 outputs
Outputs from PLOS ONE
#172,890
of 193,729 outputs
Outputs of similar age
#249,468
of 282,530 outputs
Outputs of similar age from PLOS ONE
#4,161
of 5,001 outputs
Altmetric has tracked 22,694,633 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 193,729 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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