Evidence map›Paper›PMID 17652788›Full record

ArticleMolecular biotechnology2007

Detection and typing of BKV, JCV, and SV40 by multiplex nested polymerase chain reaction.

Massimiliano Bergallo, Cristina Costa, Samuela Margio, Francesca Sidoti, Giuseppe P Segoloni, Alessandro Negro Ponzi, Rossana Cavallo

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 48% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. A globally applicable PCR-based detection and discrimination of BK and JC polyomaviruses.Revista do Instituto de Medicina Tropical de Sao Paulo · 2018
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Massimiliano BergalloDepartment of Public Health and Microbiology, Virology Unit, University of Turin, Via Santena 9 - 10126, Turin, Italy.
Cristina Costa
Samuela Margio
Francesca Sidoti
Giuseppe P Segoloni
Alessandro Negro Ponzi
Rossana Cavallo
University of Turin · ITDepartment of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multiplex nested polymerase chain reaction (PCR) method was developed for detecting and differentiating simultaneously the DNA of polyomaviruses JC, BK, and SV40 in a single tube. In the first amplification step the same set of primers was used to amplify a conserved DNA region of the large T antigen gene of JCV, BKV, and SV40. The second round was carried out using a set of primers designed to obtain products of different size for each related virus. Subsequently, the sensitivity of the multiplex nested PCR was maximized by optimizing parameters such as primer, magnesium, and dNTP concentrations. The sensitivity of the method ranged between 1 and 10 copies of the polyomavirus genome. The assay was then used for detecting polyomavirus DNA in urine, serum, and biopsy specimens from renal transplant recipients. Based on the results obtained, the multiplex nested PCR developed in our study represents a useful tool for supporting the diagnosis of polyomavirus infection and could be used for epidemiological purposes and to better define the role of polyomaviruses in human pathology.

Indexed as

AgedAntigens, ViralBase SequenceDNA PrimersDNA, ViralFemaleHumansMaleMiddle AgedPolymerase Chain ReactionPolyomavirusSensitivity and SpecificityAntigens, ViralDNA PrimersDNA, Viral

Identifiers

PMID17652788
OpenAlexW1988926317

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.