Literature DB >> 8882946

Highly sensitive qualitative and quantitative detection of reverse transcriptase activity: optimization, validation, and comparative analysis with other detection systems.

S Yamamoto1, T M Folks, W Heneine.   

Abstract

An ultra-sensitive assay for reverse transcriptase (RT) activity called Amp-RT has been developed. An in vitro transcribed heteropolymeric RNA sequence was used as a template, and polymerase chain reaction (PCR) amplification with Southern-blot hybridization served as a detection system for the cDNA product of the reaction. Titration of Mg2+ and Mn2+ concentrations using the human immunodeficiency virus type 1 (HIV-1) and the human T lymphotropic virus type 1 (HTLV-I), respectively, showed optimal assay reactivity for both viruses at 2-20 mM of Mg2+. Analysis of density banded HIV-1 showed that the peak RT activity of the assay was associated with the fractions consistent with retrovirus particles. The sensitivity of Amp-RT was also compared with that of three conventional RT assays by using seven different retroviruses including HIV-1, simian immunodeficiency virus (SIV), caprine arthritis-encephalitis virus (CAEV), HTLV-I and HTLV-II, simian retrovirus type 2 (SRV-2), and gibbon ape leukemia virus (GALV). HTLV-I, HTLV-II, and GALV could not be detected by the three conventional RT assays. Amp-RT was able to detect all these viruses in 10(1)-10(3)-fold dilutions. Similarly, Amp-RT was found to be 10(3)-10(6)-fold more sensitive than the other RT assays in detecting HIV-1, SIV< or CAEV. Culture supernatants from uninfected cell lines were all Amp-RT negative. A quantitative Amp-RT assay was also developed by using recombinant HIV-1 RT and signal quantitation. The assay was found to have a 5 log linear range, and therefore, provides a useful tool for quantitating RT and retroviruses. Amp-RT offers a sensitive generic tool for the qualitative and quantitative detection of known and unknown retroviruses.

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Year:  1996        PMID: 8882946     DOI: 10.1016/0166-0934(96)02078-2

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  7 in total

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Authors:  S X Tsang; W M Switzer; V Shanmugam; J A Johnson; C Goldsmith; A Wright; A Fadly; D Thea; H Jaffe; T M Folks; W Heneine
Journal:  J Virol       Date:  1999-07       Impact factor: 5.103

2.  Susceptibility of the porcine endogenous retrovirus to reverse transcriptase and protease inhibitors.

Authors:  S H Qari; S Magre; J G García-Lerma; A I Hussain; Y Takeuchi; C Patience; R A Weiss; W Heneine
Journal:  J Virol       Date:  2001-01       Impact factor: 5.103

Review 3.  Retroviruses and amyotrophic lateral sclerosis.

Authors:  Tariq Alfahad; Avindra Nath
Journal:  Antiviral Res       Date:  2013-05-23       Impact factor: 5.970

4.  Polymerase chain reaction in detection of porcine endogenous retrovirus (PERV) from porcine tissues.

Authors:  M Suji Prabha; Susan Verghese
Journal:  Indian J Microbiol       Date:  2009-04-21       Impact factor: 2.461

5.  A rapid non-culture-based assay for clinical monitoring of phenotypic resistance of human immunodeficiency virus type 1 to lamivudine (3TC).

Authors:  J García Lerma; R F Schinazi; A S Juodawlkis; V Soriano; Y Lin; K Tatti; D Rimland; T M Folks; W Heneine
Journal:  Antimicrob Agents Chemother       Date:  1999-02       Impact factor: 5.191

6.  How to Control HTLV-1-Associated Diseases: Preventing de Novo Cellular Infection Using Antiviral Therapy.

Authors:  Amandine Pasquier; Sandrine Alais; Loic Roux; Maria-Isabel Thoulouze; Karine Alvarez; Chloé Journo; Hélène Dutartre; Renaud Mahieux
Journal:  Front Microbiol       Date:  2018-03-13       Impact factor: 5.640

7.  Quantification of reverse transcriptase activity by real-time PCR as a fast and accurate method for titration of HIV, lenti- and retroviral vectors.

Authors:  Jolien Vermeire; Evelien Naessens; Hanne Vanderstraeten; Alessia Landi; Veronica Iannucci; Anouk Van Nuffel; Tom Taghon; Massimo Pizzato; Bruno Verhasselt
Journal:  PLoS One       Date:  2012-12-05       Impact factor: 3.240

  7 in total

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