ArticleBMC biotechnology2016
A simple, accurate and universal method for quantification of PCR.
Article in BMC biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.
- Selection of reference genes for quantitative PCR: identifying reference genes for airway epithelial cells exposed toAmerican journal of physiology. Lung cellular and molecular physiology · 2020Pooled it
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- Development and Evaluation of Multiple Droplet Digital PCR Method for Specific Detection and Differentiation ofAnimals : an open access journal from MDPI · 2026Article
- Optimization of the Quantification of Antibiotic Resistance Genes in Media from the Yangtze River Estuary.Toxics · 2026Article
- Development of TaqMan real-time PCR and droplet digital PCR protocols for the detection of Candidatus Midichloria mitochondrii and evaluation of exposure among wildlife.Veterinary research communications · 2025Article
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- Advanced breast cancer diagnosis: Multiplex RT-qPCR for precise typing and angiogenesis profiling.Biochemistry and biophysics reports · 2024Article
- Development of a sensitive droplet digital PCR according to the HPV infection specificity in Chinese population.BMC cancer · 2023Article
- Screening macroalgae for mitigation of enteric methane in vitro.Scientific reports · 2023Article
- The prohibitin complex regulates macrophage fatty acid composition, plasma membrane packing, and lipid raft-mediated inflammatory signaling.Prostaglandins, leukotrienes, and essential fatty acids · 2023Article
- Evaluation of Reference Genes for Real-Time Quantitative PCR Analysis in Tissues from Bumble Bees (International journal of molecular sciences · 2022Article
- Moving towards improved surveillance and earlier diagnosis of aquatic pathogens: From traditional methods to emerging technologies.Reviews in aquaculture · 2022Review
- Comparison of non-subjective relative fungal biomass measurements to quantify the Leptosphaeria maculans-Brassica napus interaction.Plant methods · 2021Article
- The impact of coronavirus SARS-CoV-2 (COVID-19) in water: potential risks.Environmental science and pollution research international · 2021Review
- Variability in RT-qPCR assay parameters indicates unreliable SARS-CoV-2 RNA quantification for wastewater surveillance.Water research · 2021Review
- Droplet digital PCR of viral DNA/RNA, current progress, challenges, and future perspectives.Journal of medical virology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 6 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundResearch into gene expression enables scientists to decipher the complex regulatory networks that control fundamental biological processes. Quantitative real-time PCR (qPCR) is a powerful and ubiquitous method for interrogation of gene expression. Accurate quantification is essential for correct interpretation of qPCR data. However, conventional relative and absolute quantification methodologies often give erroneous results or are laborious to perform. To overcome these failings, we developed an accurate, simple to use, universal calibrator, AccuCal.
resultsHerein, we show that AccuCal quantification can be used with either dye- or probe-based detection methods and is accurate over a dynamic range of ≥10(5) copies, for amplicons up to 500 base pairs (bp). By providing absolute quantification of all genes of interest, AccuCal exposes, and circumvents, the well-known biases of qPCR, thus allowing objective experimental conclusions to be drawn.
conclusionWe propose that AccuCal supersedes the traditional quantification methods of PCR.
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Registered trials
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.