Evidence map›Paper›PMID 37574503›Full record

ArticleBulletin of mathematical biology2023

Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR.

Robert F DeJaco, Matthew J Roberts, Erica L Romsos, Peter M Vallone, Anthony J Kearsley

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2023. 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

5 authors.

Robert F DeJacoApplied and Computational Mathematics Division, National Institute of Standards and Technology, 100 Bureau Dr., MS 8910, Gaithersburg, MD, 20899-8910, USA. rdejaco@compactmembrane.com.ORCID 0000-0001-9925-5748
Matthew J RobertsApplied and Computational Mathematics Division, National Institute of Standards and Technology, 100 Bureau Dr., MS 8910, Gaithersburg, MD, 20899-8910, USA.
Erica L RomsosBiomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Dr., MS 8314, Gaithersburg, MD, 20899-8314, USA.ORCID 0000-0001-5738-2968
Peter M ValloneBiomolecular Measurement Division, National Institute of Standards and Technology, 100 Bureau Dr., MS 8314, Gaithersburg, MD, 20899-8314, USA.ORCID 0000-0002-8019-6204
Anthony J KearsleyApplied and Computational Mathematics Division, National Institute of Standards and Technology, 100 Bureau Dr., MS 8910, Gaithersburg, MD, 20899-8910, USA.ORCID 0000-0002-9576-0621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a new approach for relating nucleic-acid content to fluorescence in a real-time Polymerase Chain Reaction (PCR) assay. By coupling a two-type branching process for PCR with a fluorescence analog of Beer's Law, the approach reduces bias and quantifies uncertainty in fluorescence. As the two-type branching process distinguishes between complementary strands of DNA, it allows for a stoichiometric description of reactions between fluorescent probes and DNA and can capture the initial conditions encountered in assays targeting RNA. Analysis of the expected copy-number identifies additional dynamics that occur at short times (or, equivalently, low cycle numbers), while investigation of the variance reveals the contributions from liquid volume transfer, imperfect amplification, and strand-specific amplification (i.e., if one strand is synthesized more efficiently than its complement). Linking the branching process to fluorescence by the Beer's Law analog allows for an a priori description of background fluorescence. It also enables uncertainty quantification (UQ) in fluorescence which, in turn, leads to analytical relationships between amplification efficiency (probability) and limit of detection. This work sets the stage for UQ-PCR, where both the input copy-number and its uncertainty are quantified from fluorescence kinetics.

Indexed as

Mathematical ConceptsModels, BiologicalDNAPolymerase Chain ReactionUncertaintyDNAReal-time polymerase chain reactionStochastic branching processUncertainty quantification

Identifiers

PMID37574503
PMCPMC10423706

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Registered trials

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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.