Evidence map›Paper›PMID 41674147›Full record

ArticleVeterinary medicine and science2026

Comparative Assessment of Different Nucleic Acid Templates for Use as Standards in the qPCR-Based Quantification of Virus Genomes.

Cüneyt Tamer, Hanne Nur Kurucay, Gerald Barry, Semra Gumusova, Zafer Yazici, Harun Albayrak

Abstract readComparative Study
In one paragraph

Article in Veterinary medicine and science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Cüneyt TamerDepartment of Virology, Faculty of Veterinary Medicine, Ondokuz Mayıs University, Samsun, Turkey.ORCID https://orcid.org/0000-0003-3240-8425
Hanne Nur KurucayDepartment of Virology, Faculty of Veterinary Medicine, Ondokuz Mayıs University, Samsun, Turkey.
Gerald BarrySchool of Veterinary Medicine, University College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0002-6262-3380
Semra GumusovaDepartment of Virology, Faculty of Veterinary Medicine, Ondokuz Mayıs University, Samsun, Turkey.
Zafer YaziciDepartment of Virology, Faculty of Veterinary Medicine, Ondokuz Mayıs University, Samsun, Turkey.ORCID https://orcid.org/0000-0002-2806-7878
Harun AlbayrakDepartment of Virology, Faculty of Veterinary Medicine, Ondokuz Mayıs University, Samsun, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative PCR (qPCR) employing either non-specific dyes or gene-specific dye-labelled probes is a commonly used technique for the quantification of viral nucleic acids. While commercial kits often come equipped with their own proprietary standards, many research endeavours necessitate the preparation of bespoke standards that suit the specific needs of the research. This study aimed to assess the appropriateness of various nucleic acid standards, namely circular plasmids, linear plasmids, PCR products, and transcribed RNA, in virus nucleic acid quantification. The evaluation of these standards was conducted through the implementation of qPCR and qRT-PCR methods utilising two different targeted gene-specific primer and probe sets. The findings of this investigation revealed notable differences between the standards. Notably, the study emphasises the necessity to choose standards carefully because their behaviour in PCR is not equal.

Indexed as

Genome, ViralReal-Time Polymerase Chain ReactionRNA, ViralReference StandardsRNA, Viralabsolute quantificationdetection limitsqRT‐PCRstandardsviral diagnostic

Identifiers

PMID41674147
PMCPMC12895083

What OpenQuestion holds

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LicenceCC BY-NC
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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.