ArticleThe Analyst2023
Reverse transcription-free digital-quantitative-PCR for microRNA analysis.
Article in The Analyst, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Phosphorylation-asymmetric recombinase polymerase amplification enables target-directed circularization for ultrasensitive multiplex electrochemical detection of respiratory pathogens.Mikrochimica acta · 2026Article
- A Smart Nanoprobe for Visually Investigating the Activation Effect of Cyclical DOX Release on the p53 Pathway and Pathway-Related Molecules.Biosensors · 2025Article
- Microinjection molded microwell array-based portable digital PCR system for the detection of infectious respiratory viruses.Nano convergence · 2025Article
- Exonuclease-III Assisted Signal Cycle Integrating with Self-Priming Mediated Chain Extension for Sensitive and Reliable MicroRNA Detection.ACS omega · 2025Article
- Review
- Multiplexed miRNA and Protein Analysis Using Digital Quantitative PCR in Microwell Arrays.Analytical chemistry · 2024Article
- Selective miRNA quantitation with high-temperature thermal gel electrophoresis.Analytica chimica acta · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
MicroRNAs (miRNAs) are non-coding RNA sequences that regulate many biological processes and have become central targets of biomedical research. However, their naturally low abundances in biological samples necessitates the development of sensitive analytical techniques to conduct routine miRNA measurements in research laboratories. Digital PCR has the potential to meet this need because of its single-molecule detection capabilities, but PCR analyses of miRNAs are slowed by the ligation and reverse transcription steps first required to prepare samples. This report describes the development of a method to rapidly quantify miRNA in digital microwell arrays using base-stacking digital-quantitative-PCR (BS-dqPCR). BS-dqPCR expedites miRNA measurements by eliminating the need for ligation and reverse transcription steps, which reduces the time and cost compared to conventional miRNA PCR analyses. Under standard PCR thermocycling conditions, digital signals from miRNA samples were lower than expected, while signals from blanks were high. Therefore, a novel asymmetric thermocycling program was developed that maximized on-target signal from miRNA while minimizing non-specific amplification. The analytical response of BS-dqPCR was then evaluated over a range of miRNA concentrations. The digital PCR dimension increased in signal with increasing miRNA copy numbers. When the digital signal saturated, the quantitative PCR dimension readily discerned miRNA copy number differences. Overall, BS-dqPCR provides rapid, high-sensitivity measurements of miRNA over a wide dynamic range, which demonstrates its utility for routine miRNA analyses.
Indexed as
Identifiers
What OpenQuestion holds
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.