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Evaluation of a method to measure HHV-6B infection in vitro based on cell size

Overview of attention for article published in Virology Journal, January 2018
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Title
Evaluation of a method to measure HHV-6B infection in vitro based on cell size
Published in
Virology Journal, January 2018
DOI 10.1186/s12985-017-0917-z
Pubmed ID
Authors

Aniuska Becerra-Artiles, Tessa Santoro, Lawrence J. Stern

Abstract

Human herpesvirus 6 (HHV-6A and HHV-6B) infection of cell cultures can be measured by different methods, including immunofluorescence microscopy, flow cytometry, or quantification of virus DNA by qPCR. These methods are reliable and sensitive but require long processing times and can be costly. Another method used in the field relies on the identification of enlarged cells in the culture; this method requires little sample processing and is relatively fast. However, visual inspection of cell cultures can be subjective and it can be difficult to establish clear criteria to decide if a cell is enlarged. To overcome these issues, we explored a method to monitor HHV-6B infections based on the systematic and objective measurement of the size of cells using an imaging-based automated cell counter. The size of cells in non-infected and HHV-6B-infected cultures was measured at different times post-infection. The relatively narrow size distribution observed for non-infected cultures contrasted with the broader distributions observed in infected cultures. The average size of cultures shifted towards higher values after infection, and the differences were significant for cultures infected with relatively high doses of virus and/or screened at longer times post-infection. Correlation analysis showed that the trend observed for average size was similar to the trend observed for two other methods to measure infection: amount of virus DNA in supernatant and the percentage of cells expressing a viral antigen. In order to determine the performance of the size-based method in differentiating non-infected and infected cells, receiver operating characteristic (ROC) curves were used to analyze the data. Analysis using size of individual cells showed a moderate performance in detecting infected cells (area under the curve (AUC) ~ 0.80-0.87), while analysis using the average size of cells showed a very good performance in detecting infected cultures (AUC ~ 0.99). The size-based method proved to be useful in monitoring HHV-6B infections for cultures where a substantial fraction of cells were infected and when monitored at longer times post-infection, with the advantage of being relatively fast and easy. It is a convenient method for monitoring virus production in-vitro and bulk infection of cells.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 17%
Student > Master 2 17%
Professor 2 17%
Other 1 8%
Student > Doctoral Student 1 8%
Other 2 17%
Unknown 2 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 25%
Biochemistry, Genetics and Molecular Biology 2 17%
Immunology and Microbiology 1 8%
Medicine and Dentistry 1 8%
Chemistry 1 8%
Other 1 8%
Unknown 3 25%

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 05 January 2018.
All research outputs
#9,883,459
of 12,380,517 outputs
Outputs from Virology Journal
#1,645
of 2,079 outputs
Outputs of similar age
#252,089
of 351,890 outputs
Outputs of similar age from Virology Journal
#81
of 108 outputs
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We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.