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Highly Precise Measurement of HIV DNA by Droplet Digital PCR

Overview of attention for article published in PLOS ONE, April 2013
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Title
Highly Precise Measurement of HIV DNA by Droplet Digital PCR
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0055943
Pubmed ID
Authors

Matthew C. Strain, Steven M. Lada, Tiffany Luong, Steffney E. Rought, Sara Gianella, Valeri H. Terry, Celsa A. Spina, Christopher H. Woelk, Douglas D. Richman

Abstract

Deoxyribonucleic acid (DNA) of the human immunodeficiency virus (HIV) provides the most sensitive measurement of residual infection in patients on effective combination antiretroviral therapy (cART). Droplet digital PCR (ddPCR) has recently been shown to provide highly accurate quantification of DNA copy number, but its application to quantification of HIV DNA, or other equally rare targets, has not been reported. This paper demonstrates and analyzes the application of ddPCR to measure the frequency of total HIV DNA (pol copies per million cells), and episomal 2-LTR (long terminal repeat) circles in cells isolated from infected patients. Analysis of over 300 clinical samples, including over 150 clinical samples assayed in triplicate by ddPCR and by real-time PCR (qPCR), demonstrates a significant increase in precision, with an average 5-fold decrease in the coefficient of variation of pol copy numbers and a >20-fold accuracy improvement for 2-LTR circles. Additional benefits of the ddPCR assay over qPCR include absolute quantification without reliance on an external standard and relative insensitivity to mismatches in primer and probe sequences. These features make digital PCR an attractive alternative for measurement of HIV DNA in clinical specimens. The improved sensitivity and precision of measurement of these rare events should facilitate measurements to characterize the latent HIV reservoir and interventions to eradicate it.

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Mendeley readers

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Geographical breakdown

Country Count As %
Germany 2 <1%
United States 2 <1%
Ireland 1 <1%
South Africa 1 <1%
Turkey 1 <1%
China 1 <1%
Denmark 1 <1%
Spain 1 <1%
Puerto Rico 1 <1%
Other 0 0%
Unknown 462 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 106 22%
Student > Ph. D. Student 103 22%
Student > Master 61 13%
Other 28 6%
Student > Bachelor 27 6%
Other 72 15%
Unknown 76 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 123 26%
Biochemistry, Genetics and Molecular Biology 92 19%
Medicine and Dentistry 46 10%
Immunology and Microbiology 40 8%
Engineering 32 7%
Other 48 10%
Unknown 92 19%