Reducing Bias and Quantifying Uncertainty in Fluorescence Produced by PCR

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..

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:85

Enthalten in:

Bulletin of mathematical biology - 85(2023), 9 vom: 14. Aug.

Sprache:

Englisch

Beteiligte Personen:

DeJaco, Robert F. [VerfasserIn]
Roberts, Matthew J. [VerfasserIn]
Romsos, Erica L. [VerfasserIn]
Vallone, Peter M. [VerfasserIn]
Kearsley, Anthony J. [VerfasserIn]

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Volltext [kostenfrei]

BKL:

42.11$jBiomathematik$jBiokybernetik

44.00$jMedizin: Allgemeines

Themen:

Real-time polymerase chain reaction
Stochastic branching process
Uncertainty quantification

RVK:

RVK Klassifikation

Anmerkungen:

© The Author(s) 2023

doi:

10.1007/s11538-023-01182-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC214499756X