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Gene silencing by RNA interference in Sarcoptes scabiei: a molecular tool to identify novel therapeutic targets

Overview of attention for article published in Parasites & Vectors, June 2017
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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5 tweeters

Citations

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16 Dimensions

Readers on

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27 Mendeley
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Title
Gene silencing by RNA interference in Sarcoptes scabiei: a molecular tool to identify novel therapeutic targets
Published in
Parasites & Vectors, June 2017
DOI 10.1186/s13071-017-2226-1
Pubmed ID
Authors

Deepani D. Fernando, Edward J. Marr, Martha Zakrzewski, Simone L. Reynolds, Stewart T. G. Burgess, Katja Fischer

Abstract

Scabies is one of the most common and widespread parasitic skin infections globally, affecting a large range of mammals including humans, yet the molecular biology of Sarcoptes scabiei is astonishingly understudied. Research has been hampered primarily due to the difficulty of sampling or culturing these obligatory parasitic mites. A further and major impediment to identify and functionally analyse potential therapeutic targets from the recently emerging molecular databases is the lack of appropriate molecular tools. We performed standard BLAST based searches of the existing S. scabiei genome databases using sequences of genes described to be involved in RNA interference in Drosophila and the mite model organism Tetranychus urticae. Experimenting with the S. scabiei mu-class glutathione S-transferase (SsGST-mu1) as a candidate gene we explored the feasibility of gene knockdown in S. scabiei by double-stranded RNA-interference (dsRNAi). We provide here an analysis of the existing S. scabiei draft genomes, confirming the presence of a double stranded RNA (dsRNA) - mediated silencing machinery. We report for the first time experimental gene silencing by RNA interference (RNAi) in S. scabiei. Non-invasive immersion of S. scabiei in dsRNA encoding an S. scabiei glutathione S-transferase mu-class 1 enzyme (SsGST-mu1) resulted in a 35% reduction in the transcription of the target gene compared to controls. A series of experiments identified the optimal conditions allowing systemic experimental RNAi without detrimental side effects on mite viability. This technique can now be used to address the key questions on the fundamental aspects of mite biology and pathogenesis, and to assess the potential therapeutic benefits of silencing S. scabiei target genes.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 3 11%
Student > Bachelor 3 11%
Unspecified 2 7%
Student > Master 2 7%
Other 3 11%
Unknown 9 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 22%
Medicine and Dentistry 4 15%
Biochemistry, Genetics and Molecular Biology 3 11%
Veterinary Science and Veterinary Medicine 2 7%
Neuroscience 2 7%
Other 3 11%
Unknown 7 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 June 2017.
All research outputs
#3,127,551
of 11,351,976 outputs
Outputs from Parasites & Vectors
#739
of 2,827 outputs
Outputs of similar age
#90,951
of 267,674 outputs
Outputs of similar age from Parasites & Vectors
#45
of 143 outputs
Altmetric has tracked 11,351,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,827 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 267,674 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.