Evidence map›Paper›PMID 25867513›Full record

ArticleJournal of visualized experiments : JoVE2015

Development of a quantitative recombinase polymerase amplification assay with an internal positive control.

Zachary A Crannell, Brittany Rohrman, Rebecca Richards-Kortum

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Evaluation of recombinase polymerase amplification assays for targeted detection of bovine respiratory disease bacterial pathogens and antimicrobial-resistance genes in feedlot calves.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2026
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  12. Frontiers in cellular and infection microbiology · 2018
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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

3 authors.

Zachary A CrannellDepartment of Bioengineering, Rice University; zcrannell@gmail.com.
Brittany RohrmanDepartment of Bioengineering, Rice University.
Rebecca Richards-KortumDepartment of Bioengineering, Rice University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It was recently demonstrated that recombinase polymerase amplification (RPA), an isothermal amplification platform for pathogen detection, may be used to quantify DNA sample concentration using a standard curve. In this manuscript, a detailed protocol for developing and implementing a real-time quantitative recombinase polymerase amplification assay (qRPA assay) is provided. Using HIV-1 DNA quantification as an example, the assembly of real-time RPA reactions, the design of an internal positive control (IPC) sequence, and co-amplification of the IPC and target of interest are all described. Instructions and data processing scripts for the construction of a standard curve using data from multiple experiments are provided, which may be used to predict the concentration of unknown samples or assess the performance of the assay. Finally, an alternative method for collecting real-time fluorescence data with a microscope and a stage heater as a step towards developing a point-of-care qRPA assay is described. The protocol and scripts provided may be used for the development of a qRPA assay for any DNA target of interest.

Indexed as

Computer SystemsCryptosporidium parvumDNADNA, ProtozoanDNA, ViralHIV-1HumansMaleMicroscopy, FluorescenceNucleic Acid Amplification TechniquesOligonucleotide Array Sequence AnalysisRecombinasesDNADNA, ProtozoanDNA, ViralRecombinases

Identifiers

PMID25867513
PMCPMC4401391

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.