Introduction of Digital Polymerase Chain Reaction: Comparison with Real-time Polymerase Chain Reaction

Digital polymerase chain reaction (dPCR) is an advanced molecular biology technique that provides a precise and absolute quantitation of target nucleic acids, providing significant improvements over traditional real-time PCR (qPCR) methods. Unlike qPCR, which provides relative quantitation, dPCR offers absolute quantitation by partitioning a sample into tens of thousands of individual reactions, allowing the detection of low-abundance targets amidst a background of abundant wild-type. This technique minimizes the effects of PCR inhibitors and is particularly valuable in applications such as rare sequence detection, rare mutation detection, analysis of copy number variation, liquid biopsy testing, gene expression and RNA analysis, pathogen detection and infectious disease diagnosis, analysis of next-generation sequencing library, and food and environmental monitoring. The ability to detect low-frequency mutations and copy number variations makes dPCR a powerful tool in personalized medicine and cancer research. This review introduces potential markets, history, principles, types, applications, comparison of qPCR and dPCR, and corporations marketing dPCR products. As the technology continues to evolve, dPCR is poised to play a critical role in advancing the understanding of complex biological systems and improving patient outcomes.

Authors

Institutions

Publication Details

Journal
Korean Journal of Clinical Laboratory Science
Published
2024-12-30
DOI
https://doi.org/10.15324/kjcls.2024.56.4.307
Citations
1
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Introduction of Digital Polymerase Chain Reaction: Comparison with Real-time Polymerase Chain Reaction

Dongsup Lee
1 citations
Korean Journal of Clinical Laboratory Science
Molecular Biology Techniques and Applications
0.23
article

Introduction of Digital Polymerase Chain Reaction: Comparison with Real-time Polymerase Chain Reaction

Dongsup Lee
article en
1 citations

Abstract

Digital polymerase chain reaction (dPCR) is an advanced molecular biology technique that provides a precise and absolute quantitation of target nucleic acids, providing significant improvements over traditional real-time PCR (qPCR) methods. Unlike qPCR, which provides relative quantitation, dPCR offers absolute quantitation by partitioning a sample into tens of thousands of individual reactions, allowing the detection of low-abundance targets amidst a background of abundant wild-type. This technique minimizes the effects of PCR inhibitors and is particularly valuable in applications such as rare sequence detection, rare mutation detection, analysis of copy number variation, liquid biopsy testing, gene expression and RNA analysis, pathogen detection and infectious disease diagnosis, analysis of next-generation sequencing library, and food and environmental monitoring. The ability to detect low-frequency mutations and copy number variations makes dPCR a powerful tool in personalized medicine and cancer research. This review introduces potential markets, history, principles, types, applications, comparison of qPCR and dPCR, and corporations marketing dPCR products. As the technology continues to evolve, dPCR is poised to play a critical role in advancing the understanding of complex biological systems and improving patient outcomes.

Korean Journal of Clinical Laboratory ScienceVol. 56(4)
Hyejeon College (KR)
Openalex Percentile: Top 40%
Molecular Biology Techniques and Applications
0.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.