Blocking uncertain mispriming errors of PCR.


Journal

Biophysical journal
ISSN: 1542-0086
Titre abrégé: Biophys J
Pays: United States
ID NLM: 0370626

Informations de publication

Date de publication:
10 Sep 2024
Historique:
received: 09 05 2024
revised: 26 07 2024
accepted: 05 09 2024
medline: 11 9 2024
pubmed: 11 9 2024
entrez: 11 9 2024
Statut: aheadofprint

Résumé

The polymerase chain reaction (PCR) plays a central role in genetic engineering and is routinely used in various applications, from biological and medical research to the diagnosis of viral infections. PCR is an extremely sensitive method for detecting target DNA sequences, but it is substantially error-prone. In particular, the mishybridization of primers to contaminating sequences can result in false positives for virus tests. The blocker method, also called the clamping method, has been developed to suppress mishybridization errors. However, its application is limited by the requirement that the contaminating template sequence must be known in advance. Here, we demonstrate that a mixture of multiple blocker sequences effectively suppresses the amplification of contaminating sequences even in the presence of uncertainty. The blocking effect was characterized by a simple model validated by experiments. Furthermore, the modeling allowed us to minimize the errors by optimizing the blocker concentrations. The results highlighted an inherent robustness of the blocker method, in that fine-tuning of the blocker concentrations is not necessary. Our method extends the applicability of PCR and other hybridization-based techniques, including genome editing, RNA interference, and DNA nanotechnology, by improving their fidelity.

Identifiants

pubmed: 39257000
pii: S0006-3495(24)00600-3
doi: 10.1016/j.bpj.2024.09.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Takumi Takahashi (T)

Department of Applied Physics, Graduate School of Engineering, Tohoku University, Sendai, Japan.

Hiroyuki Aoyanagi (H)

Department of Applied Physics, Graduate School of Engineering, Tohoku University, Sendai, Japan.

Simone Pigolotti (S)

Biological Complexity Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Okinawa, Japan.

Shoichi Toyabe (S)

Department of Applied Physics, Graduate School of Engineering, Tohoku University, Sendai, Japan. Electronic address: toyabe@tohoku.ac.jp.

Classifications MeSH