Evidence map›Paper›PMID 24598230›Full record

ArticleJournal of virological methods2014

Low copy target detection by Droplet Digital PCR through application of a novel open access bioinformatic pipeline, 'definetherain'.

Mathew Jones, James Williams, Kathleen Gärtner, Rodney Phillips, Jacob Hurst, John Frater

Abstract read
In one paragraph

Article in Journal of virological methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

  1. Trial
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  8. Observational
  9. Evaluation of Droplet Digital PCR for the Detection ofAnnals of laboratory medicine · 2024
    Article
  10. Article
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  12. Foods (Basel, Switzerland) · 2024
    Article
  13. Article
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  20. Heteroresistance ofBiology · 2023
    Article

20 more citing papers are in PubMed but not listed here.

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.

Mathew JonesPeter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford, UK.
James WilliamsPeter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford, UK.
Kathleen GärtnerPeter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford, UK; IUH, Hôpital St. Louis, Paris, France.
Rodney PhillipsPeter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford, UK; Institute for Emerging Infections, The Oxford Martin School, Oxford, UK; Oxford National Institute of Health Research Biomedical Research Centre, Oxford, UK.
Jacob HurstPeter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford, UK; Institute for Emerging Infections, The Oxford Martin School, Oxford, UK.
John FraterPeter Medawar Building for Pathogen Research, Nuffield Department of Clinical Medicine, Oxford, UK; Institute for Emerging Infections, The Oxford Martin School, Oxford, UK; Oxford National Institute of Health Research Biomedical Research Centre, Oxford, UK. Electronic address: john.frater@ndm.ox.ac.uk.

Funding

Medical Research Council G108/626Medical Research Council MR/L006588/1
6 · The paper itself

Abstract

Droplet Digital PCR (ddPCR) represents a new and alternative platform to conventional quantitative-PCR (qPCR) for the quantitation of DNA templates. However, the proposed improvement in sensitivity and reproducibility offered by ddPCR is not yet fully proven, partly because the delineation between positive and negative responses is not always clear. Data are presented demonstrating the sensitivity of the ddPCR system to both reagent concentrations and choice of cut-off for defining positive and negative results. By implementing k-nearest clustering, cut-offs are produced that improve the accuracy of ddPCR where target DNA is present at low copy numbers, a key application of ddPCR. This approach is applied to human albumin and HIV-1 proviral DNA ddPCR quantitative protocols. This tool is coded in JavaScript and has been made available for free in a web browser at http://www.definetherain.org.uk. Optimisation of the analyses of raw ddPCR data using 'definetherain' indicates that low target number detection can be improved by its implementation. Further application to patient samples will help define the clinical utility of this approach.

Indexed as

Computational BiologyHIV-1HumansMolecular Diagnostic TechniquesPolymerase Chain ReactionSensitivity and SpecificitySerum AlbuminSerum AlbuminDroplet Digital PCRHIV-1k means clusteringQuantitative PCR

Identifiers

PMID24598230
PMCPMC4003534

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.