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Development of a Real-Time Cell Analysing (RTCA) method as a fast and accurate screen for the selection of chikungunya virus replication inhibitors

Overview of attention for article published in Parasites & Vectors, November 2015
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2 tweeters

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51 Mendeley
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Title
Development of a Real-Time Cell Analysing (RTCA) method as a fast and accurate screen for the selection of chikungunya virus replication inhibitors
Published in
Parasites & Vectors, November 2015
DOI 10.1186/s13071-015-1104-y
Pubmed ID
Authors

Suria Marlina, Meng-Hooi Shu, Sazaly AbuBakar, Keivan Zandi

Abstract

The xCELLigence real-time cell analysis (RTCA) system is an established electronic cell sensor array. This system uses microelectronic biosensor technology that is verified for real-time, label-free, dynamic and non-offensive monitoring of cellular features, including detection of viral cytopathic effect (CPE). Screening viral replication inhibitors based on presence of CPE has been applied for different viruses, including chikungunya virus (CHIKV). However, most CPE-based methods, including MTT and MTS assays, do not provide information on the initiation of CPE nor the changes in reaction rate of the virus propagation over time. Therefore, in this study we developed an RTCA method as an accurate and time-based screen for antiviral compounds against CHIKV. CHIKV-infected Vero cells were used as an in vitro model to establish the suitability of the RTCA system as a quantitative analysis method based on the induction of CPE. We also performed an MTS assay as a CPE-based conventional method. Experimental assays were carried out to evaluate the optimal seeding density of the Vero cells, cytotoxicity of the tested compounds, titration of CHIKV and the antiviral activity of ribavirin, which has been reported as an effective compound against CHIKV in vitro replication. The optimal time point for viral inoculation was 18 h after seeding the cells. We determined that the maximum non-toxic dose (MNTD) of ribavirin was 200 μg/ml for Vero cells. Regarding the dynamic monitoring of Vero cell properties during antiviral assay, approximately 34 h post-infection, the normalised Cell Index (CI) values of CHIKV-infected Vero cells started to decrease, while the vehicle controls did not show any significant changes. We also successfully showed the dose dependent manner of ribavirin as an approved in vitro inhibitor for CHIKV through our RTCA experiment. RTCA technology could become the prevailing tool in antiviral research due to its accurate output and the opportunity to carry out quality control and technical optimisation.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Brazil 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 14%
Researcher 7 14%
Student > Master 6 12%
Student > Bachelor 6 12%
Other 4 8%
Other 11 22%
Unknown 10 20%
Readers by discipline Count As %
Medicine and Dentistry 9 18%
Agricultural and Biological Sciences 9 18%
Biochemistry, Genetics and Molecular Biology 7 14%
Immunology and Microbiology 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 9 18%
Unknown 12 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 January 2016.
All research outputs
#10,080,356
of 16,518,952 outputs
Outputs from Parasites & Vectors
#2,317
of 4,395 outputs
Outputs of similar age
#145,134
of 287,274 outputs
Outputs of similar age from Parasites & Vectors
#215
of 442 outputs
Altmetric has tracked 16,518,952 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,395 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 46th percentile – i.e., 46% 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 287,274 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 442 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 50% of its contemporaries.