ArticleJournal of clinical microbiology2016
Detection of Rare Drug Resistance Mutations by Digital PCR in a Human Influenza A Virus Model System and Clinical Samples.
Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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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.
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.
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Who cites it
29 citing papers in PubMed.
- A multicenter clinical evaluation of polymerase chain reaction coupled with quantum dot fluorescence analysis in pathogen detection for patients with suspected bloodstream infections.Microbiology spectrum · 2026Article
- Diagnostic advantage of droplet digital PCR over blood culture in sepsis: a retrospective study of 115 patients.European journal of medical research · 2026Article
- Digital PCR in Virology: Current Applications and Future Perspectives.Molecular diagnosis & therapy · 2025Review
- Detecting antibiotic resistance: classical, molecular, advanced bioengineering, and AI-enhanced approaches.Frontiers in microbiology · 2025Review
- Advancing Pathogen Identification: The Role of Digital PCR in Enhancing Diagnostic Power in Different Settings.Diagnostics (Basel, Switzerland) · 2024Review
- Clinical evaluation of a multiplex droplet digital PCR for pathogen detection in critically ill COVID-19 patients with bloodstream infections.Infection · 2024Article
- Developing centrifugal force real-time digital PCR for detecting extremely low DNA concentration.Scientific reports · 2024Article
- Fast Thermocycling in Custom Microfluidic Cartridge for Rapid Single-Molecule Droplet PCR.Sensors (Basel, Switzerland) · 2023Article
- Diagnostics and analysis of SARS-CoV-2: current status, recent advances, challenges and perspectives.Chemical science · 2023Review
- Article
- Development of Digital Droplet PCR Targeting the Influenza H3N2 Oseltamivir-Resistant E119V Mutation and Its Performance through the Use of Reverse Genetics Mutants.Current issues in molecular biology · 2023Article
- Article
- Metrological framework to support accurate, reliable, and reproducible nucleic acid measurements.Analytical and bioanalytical chemistry · 2022Review
- Droplet digital PCR of viral DNA/RNA, current progress, challenges, and future perspectives.Journal of medical virology · 2021Review
- Rapid Methods for Antimicrobial Resistance Diagnostics.Antibiotics (Basel, Switzerland) · 2021Review
- Digital PCR is a sensitive new technique for SARS-CoV-2 detection in clinical applications.Clinica chimica acta; international journal of clinical chemistry · 2020Article
- Evaluation of digital PCR assay in detection of M.tuberculosis IS6110 and IS1081 in tuberculosis patients plasma.BMC infectious diseases · 2020Article
- Development of A4 antibody for detection of neuraminidase I223R/H275Y-associated antiviral multidrug-resistant influenza virus.Nature communications · 2020Article
- Influenza and antiviral resistance: an overview.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020Review
- Application of droplet digital PCR to detect the pathogens of infectious diseases.Bioscience reports · 2018Review
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital PCR (dPCR) is being increasingly used for the quantification of sequence variations, including single nucleotide polymorphisms (SNPs), due to its high accuracy and precision in comparison with techniques such as quantitative PCR (qPCR) and melt curve analysis. To develop and evaluate dPCR for SNP detection using DNA, RNA, and clinical samples, an influenza virus model of resistance to oseltamivir (Tamiflu) was used. First, this study was able to recognize and reduce off-target amplification in dPCR quantification, thereby enabling technical sensitivities down to 0.1% SNP abundance at a range of template concentrations, a 50-fold improvement on the qPCR assay used routinely in the clinic. Second, a method was developed for determining the false-positive rate (background) signal. Finally, comparison of dPCR with qPCR results on clinical samples demonstrated the potential impact dPCR could have on clinical research and patient management by earlier (trace) detection of rare drug-resistant sequence variants. Ultimately this could reduce the quantity of ineffective drugs taken and facilitate early switching to alternative medication when available. In the short term such methods could advance our understanding of microbial dynamics and therapeutic responses in a range of infectious diseases such as HIV, viral hepatitis, and tuberculosis. Furthermore, the findings presented here are directly relevant to other diagnostic areas, such as the detection of rare SNPs in malignancy, monitoring of graft rejection, and fetal screening.
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