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Identification of giant Mimivirus protein functions using RNA interference

Overview of attention for article published in Frontiers in Microbiology, April 2015
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Title
Identification of giant Mimivirus protein functions using RNA interference
Published in
Frontiers in Microbiology, April 2015
DOI 10.3389/fmicb.2015.00345
Pubmed ID
Authors

Haitham Sobhy, Bernard La Scola, Isabelle Pagnier, Didier Raoult, Philippe Colson

Abstract

Genomic analysis of giant viruses, such as Mimivirus, has revealed that more than half of the putative genes have no known functions (ORFans). We knocked down Mimivirus genes using short interfering RNA as a proof of concept to determine the functions of giant virus ORFans. As fibers are easy to observe, we targeted a gene encoding a protein absent in a Mimivirus mutant devoid of fibers as well as three genes encoding products identified in a protein concentrate of fibers, including one ORFan and one gene of unknown function. We found that knocking down these four genes was associated with depletion or modification of the fibers. Our strategy of silencing ORFan genes in giant viruses opens a way to identify its complete gene repertoire and may clarify the role of these genes, differentiating between junk DNA and truly used genes. Using this strategy, we were able to annotate four proteins in Mimivirus and 30 homologous proteins in other giant viruses. In addition, we were able to annotate >500 proteins from cellular organisms and 100 from metagenomic databases.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Researcher 9 15%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 6 10%
Student > Bachelor 4 6%
Other 7 11%
Unknown 19 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 34%
Biochemistry, Genetics and Molecular Biology 10 16%
Immunology and Microbiology 3 5%
Environmental Science 1 2%
Psychology 1 2%
Other 3 5%
Unknown 23 37%
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 22 January 2016.
All research outputs
#18,961,244
of 23,498,099 outputs
Outputs from Frontiers in Microbiology
#20,206
of 25,939 outputs
Outputs of similar age
#194,580
of 265,973 outputs
Outputs of similar age from Frontiers in Microbiology
#282
of 363 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,939 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 265,973 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 363 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.