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Detection of Murine Leukemia Virus or Mouse DNA in Commercial RT-PCR Reagents and Human DNAs

Overview of attention for article published in PLOS ONE, December 2011
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Title
Detection of Murine Leukemia Virus or Mouse DNA in Commercial RT-PCR Reagents and Human DNAs
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0029050
Pubmed ID
Authors

HaoQiang Zheng, Hongwei Jia, Anupama Shankar, Walid Heneine, William M. Switzer

Abstract

The xenotropic murine leukemia virus (MLV)-related viruses (XMRV) have been reported in persons with prostate cancer, chronic fatigue syndrome, and less frequently in blood donors. Polytropic MLVs have also been described in persons with CFS and blood donors. However, many studies have failed to confirm these findings, raising the possibility of contamination as a source of the positive results. One PCR reagent, Platinum Taq polymerase (pol) has been reported to contain mouse DNA that produces false-positive MLV PCR results. We report here the finding of a large number of PCR reagents that have low levels of MLV sequences. We found that recombinant reverse-transcriptase (RT) enzymes from six companies derived from either MLV or avian myeloblastosis virus contained MLV pol DNA sequences but not gag or mouse DNA sequences. Sequence and phylogenetic analysis showed high relatedness to Moloney MLV, suggesting residual contamination with an RT-containing plasmid. In addition, we identified contamination with mouse DNA and a variety of MLV sequences in commercially available human DNAs from leukocytes, brain tissues, and cell lines. These results identify new sources of MLV contamination and highlight the importance of careful pre-screening of commercial specimens and diagnostic reagents to avoid false-positive MLV PCR results.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
United States 1 3%
Italy 1 3%
Brazil 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Ph. D. Student 8 26%
Student > Bachelor 4 13%
Student > Doctoral Student 3 10%
Other 1 3%
Other 3 10%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 39%
Medicine and Dentistry 5 16%
Biochemistry, Genetics and Molecular Biology 4 13%
Immunology and Microbiology 2 6%
Computer Science 1 3%
Other 2 6%
Unknown 5 16%