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Quantification of Reverse Transcriptase Activity by Real-Time PCR as a Fast and Accurate Method for Titration of HIV, Lenti- and Retroviral Vectors

Overview of attention for article published in PLOS ONE, December 2012
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Title
Quantification of Reverse Transcriptase Activity by Real-Time PCR as a Fast and Accurate Method for Titration of HIV, Lenti- and Retroviral Vectors
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0050859
Pubmed ID
Authors

Jolien Vermeire, Evelien Naessens, Hanne Vanderstraeten, Alessia Landi, Veronica Iannucci, Anouk Van Nuffel, Tom Taghon, Massimo Pizzato, Bruno Verhasselt

Abstract

Quantification of retroviruses in cell culture supernatants and other biological preparations is required in a diverse spectrum of laboratories and applications. Methods based on antigen detection, such as p24 for HIV, or on genome detection are virus specific and sometimes suffer from a limited dynamic range of detection. In contrast, measurement of reverse transcriptase (RT) activity is a generic method which can be adapted for higher sensitivity using real-time PCR quantification (qPCR-based product-enhanced RT (PERT) assay). We present an evaluation of a modified SYBR Green I-based PERT assay (SG-PERT), using commercially available reagents such as MS2 RNA and ready-to-use qPCR mixes. This assay has a dynamic range of 7 logs, a sensitivity of 10 nU HIV-1 RT and outperforms p24 ELISA for HIV titer determination by lower inter-run variation, lower cost and higher linear range. The SG-PERT values correlate with transducing and infectious units in HIV-based viral vector and replication-competent HIV-1 preparations respectively. This assay can furthermore quantify Moloney Murine Leukemia Virus-derived vectors and can be performed on different instruments, such as Roche Lightcycler® 480 and Applied Biosystems ABI 7300. We consider this test to be an accurate, fast and relatively cheap method for retroviral quantification that is easily implemented for use in routine and research laboratories.

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Geographical breakdown

Country Count As %
Portugal 2 <1%
Switzerland 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 213 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 25%
Researcher 47 21%
Student > Master 26 12%
Student > Bachelor 23 10%
Student > Doctoral Student 18 8%
Other 19 9%
Unknown 33 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 59 27%
Agricultural and Biological Sciences 57 26%
Immunology and Microbiology 26 12%
Medicine and Dentistry 15 7%
Chemical Engineering 5 2%
Other 21 10%
Unknown 37 17%