Evidence map›Paper›PMID 18614652›Full record

ArticleJournal of clinical microbiology2008

Internally controlled triplex quantitative PCR assay for human polyomaviruses JC and BK.

Timothy J Dumonceaux, Christine Mesa, Alberto Severini

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Transplant Virus Detection Using Multiplex Targeted Sequencing.The journal of applied laboratory medicine · 2018
    Article
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Timothy J DumonceauxNational Microbiology Laboratory, Public Health Agency of Canada, 1015 Arlington Street, Winnipeg, Manitoba R3E 3R2, Canada. tim_dumonceaux@phac-aspc.gc.ca
Christine Mesa
Alberto Severini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a triplex TaqMan-based quantitative PCR assay for the human polyomaviruses JC (JCPyV) and BK (BKPyV). The assay simultaneously detects and quantifies both JCPyV and BKPyV in human clinical samples, and it includes an internal amplification control consisting of murine polyomavirus (MuPyV) plasmid DNA. We developed the assay for the Roche LightCycler 480 platform with the reporter dyes VIC, 6-FAM, and Cy5 for MuPyV, BKPyV, and JCPyV, respectively. The assay had a high specificity for BKPyV and JCPyV when either viral genome was present alone or in mixed samples over a range of 10(1) to 10(7) copy numbers per reaction. The analytical sensitivity was 50 copies for BKPyV and 10 copies for JCPyV. The use of the MuPyV internal control ensured monitoring of the quality of the extraction and of PCR inhibition, even in samples such as cerebrospinal fluid and plasma in which controls based on host genes cannot be effectively used. In addition, we developed a similar assay using a different dye configuration (6-FAM, VIC, and NED) that could be used on an ABI 7500 Fast platform. This assay had sensitivities similar to those of the LightCycler 480 configuration for BKPyV and JCPyV when either viral genome was present alone, but the sensitivity of detection of BKPyV was greatly decreased when an excess of JCPyV (>100-fold) was present in the sample. This internally controlled combined assay offers greater convenience and cost-effectiveness compared to separate assays for each virus and can also detect unexpected PyV activations by testing for both viruses in all samples.

Indexed as

BK VirusJC VirusDNA PrimersHumansPolymerase Chain ReactionPolyomavirus InfectionsSensitivity and SpecificityDNA Primers

Identifiers

PMID18614652
PMCPMC2546715

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.