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Highly Sensitive Quantitative Real-Time PCR for the Detection of Plasmodium Liver-Stage Parasite Burden following Low-Dose Sporozoite Challenge

Overview of attention for article published in PLOS ONE, October 2013
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Title
Highly Sensitive Quantitative Real-Time PCR for the Detection of Plasmodium Liver-Stage Parasite Burden following Low-Dose Sporozoite Challenge
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077811
Pubmed ID
Authors

Sophie Schussek, Penny L. Groves, Simon H. Apte, Denise L. Doolan

Abstract

The pre-erythrocytic stages of Plasmodium spp. are increasingly recognised as ideal targets for prophylactic vaccines and drug treatments. Intense research efforts in the last decade have been focused on in vitro culture and in vivo detection and quantification of liver stage parasites to assess the effects of candidate vaccines or drugs. Typically, the onset of blood stage parasitaemia is used as a surrogate endpoint to estimate the efficacy of vaccines and drugs targeting pre-erythrocytic parasite stages in animal models. However, this provides no information on the parasite burden in the liver after vaccination or treatment and therefore does not detect partial efficacy of any vaccine or drug candidates. Herein, we describe a quantitative RT-PCR method adapted to detect and quantitate Plasmodium yoelii liver stages in mice with increased sensitivity even after challenge with as few as 50 cryopreserved sporozoites (corresponding to approximately 5-10 freshly isolated sporozoites). We have validated our quantitative RT-PCR assay according to the MIQE (Minimum Information for Publication of Quantitative Real-Time PCR Experiments) guidelines and established high reproducibility and accuracy. Our assay provides a rapid and reproducible assessment of liver stage parasite burden in rodent malaria models, thereby facilitating the evaluation of the efficacy of anti-malarial drugs or prophylactic vaccines with high precision and efficacy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 29%
Student > Master 5 13%
Lecturer 4 11%
Student > Bachelor 4 11%
Student > Postgraduate 3 8%
Other 7 18%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 26%
Biochemistry, Genetics and Molecular Biology 9 24%
Immunology and Microbiology 5 13%
Medicine and Dentistry 4 11%
Nursing and Health Professions 1 3%
Other 2 5%
Unknown 7 18%
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 08 October 2013.
All research outputs
#18,349,805
of 22,725,280 outputs
Outputs from PLOS ONE
#154,212
of 193,989 outputs
Outputs of similar age
#154,473
of 207,309 outputs
Outputs of similar age from PLOS ONE
#3,767
of 5,023 outputs
Altmetric has tracked 22,725,280 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 193,989 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 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 5,023 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.