Literature DB >> 9255736

Elimination of background signals in a modified polymerase chain reaction-based reverse transcriptase assay.

T Maudru1, K Peden.   

Abstract

Three highly sensitive reverse transcriptase (RT) assays were recently published that are at least one million times more sensitive than conventional RT assays. These assays derive their high sensitivities through the ability to amplify the complementary DNA (cDNA) product of the RT reaction by the polymerase chain reaction (PCR). We describe a modified PCR-based RT (PBRT) assay that retains the high sensitivities of the original assays while reducing their inherent background signals. The background signal of the PBRT assay was found to be due to an intrinsic RNA-dependent DNA polymerase activity of the Taq DNA polymerase, the enzyme used for the PCR. It could be eliminated by inserting a ribonuclease digestion step prior to amplifying the cDNA product of the RT reaction by PCR and by using a thermostable DNA polymerase identified as having reduced RNA-dependent DNA polymerase activity. Comparable results were obtained using three RNA templates with two purified RT enzymes. This modified assay is capable of detecting reliably between 10 and 100 molecules of RT, which is equivalent to between 1 and 10 retrovirus particles.

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Year:  1997        PMID: 9255736     DOI: 10.1016/s0166-0934(97)00067-0

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


  3 in total

1.  Real-time RT-PCR detection of retroviral contaminations of cells and cell lines.

Authors:  Katja Müller; Manfred Wirth
Journal:  Cytotechnology       Date:  2002-01       Impact factor: 2.058

2.  The nucleotide sequence of koala (Phascolarctos cinereus) retrovirus: a novel type C endogenous virus related to Gibbon ape leukemia virus.

Authors:  J J Hanger; L D Bromham; J J McKee; T M O'Brien; W F Robinson
Journal:  J Virol       Date:  2000-05       Impact factor: 5.103

Review 3.  Applications of quantitative PCR in the biosafety and genetic stability assessment of biotechnology products.

Authors:  Archie Lovatt
Journal:  J Biotechnol       Date:  2002-01       Impact factor: 3.307

  3 in total

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