Evidence map›Paper›PMID 16391081›Full record

ArticleApplied and environmental microbiology2006

Real-time fluorogenic reverse transcription-PCR assays for detection of bacteriophage MS2.

Kevin P O'Connell, Jennifer R Bucher, Patricia E Anderson, Cheng J Cao, Akbar S Khan, Mark V Gostomski, James J Valdes

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Applied and environmental microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 117 citations in OpenAlex.

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  20. Chinese science bulletin = Kexue tongbao · 2014
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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 1 country.

Kevin P O'ConnellResearch and Technology Directorate, U.S. Army Edgewood Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010, USA. kevin.oconnell1@us.army.mil
Jennifer R Bucher
Patricia E Anderson
Cheng J Cao
Akbar S Khan
Mark V Gostomski
James J Valdes
U.S. Army Combat Capabilities Development Command Chemical Biological CenterDEVCOM Army Research Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteriophage MS2 is used in place of pathogenic viruses in a wide variety of studies that range from testing of compounds for disinfecting surfaces to studying environmental transport and fate of pathogenic viruses in groundwater. MS2 is also used as a pathogen simulant in the research, development, and testing (including open air tests) of methods, systems, and devices for the detection of pathogens in both the battlefield and homeland defense settings. PCR is often used as either an integral part of such detection systems or as a reference method to assess the sensitivity and specificity of microbial detection. To facilitate the detection of MS2 by PCR, we describe here a set of real-time fluorogenic reverse transcription-PCR assays. The sensitivity of the assays (performed with primer pairs and corresponding dye-labeled probes) ranged from 0.4 to 40 fg of MS2 genomic RNA (200 to 20,000 genome equivalents). We also demonstrate the usefulness of the primer pairs in assays without dye-labeled probe that included the DNA-binding dye SYBR green. None of the assays gave false-positive results when tested against 400 pg of several non-MS2 nucleic acid targets.

Indexed as

DNA PrimersFluorescent DyesLevivirusReverse Transcriptase Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityDNA PrimersFluorescent DyesRNA, Viral

Identifiers

PMID16391081
PMCPMC1352182
OpenAlexW2166844069

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.