Evidence map›Paper›PMID 41243383›Full record

ArticleJournal of molecular recognition : JMR2025

Developing a Modular Platform for the Detection of microRNAs Using Rolling Circle Amplification and Multi-Primed Chain Amplification.

Mahboobeh Nasiri, Kyle Nowlin, Reza Zadegan

Abstract read
In one paragraph

Article in Journal of molecular recognition : JMR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mahboobeh NasiriDepartment of Nanoengineering, Joint School of Nanoscience & Nanoengineering, North Carolina Agricultural and Technical State University, Greensboro, North Carolina, USA.ORCID 0000-0003-1370-6849
Kyle NowlinDepartment of Nanoengineering, Joint School of Nanoscience & Nanoengineering, North Carolina Agricultural and Technical State University, Greensboro, North Carolina, USA.ORCID 0000-0002-2456-3604
Reza ZadeganDepartment of Nanoengineering, Joint School of Nanoscience & Nanoengineering, North Carolina Agricultural and Technical State University, Greensboro, North Carolina, USA.ORCID 0000-0002-1506-1522

Funding

National Science Foundation ECCS-2025462National Science Foundation MCB 2027738NIH HHS 1R16GM145671
6 · The paper itself

Abstract

MicroRNAs (miRNAs) play critical regulatory roles in diverse biological processes and are key biomarkers in a wide range of physiological and pathological conditions, including cancer. However, their inherently low concentrations in biological samples pose a major challenge for reliable detection and quantification. To overcome this limitation, we developed a fluorescence-based biosensing platform that integrates rolling circle amplification (RCA) and multi-primed chain amplification (MCA) to enhance signal and detection sensitivity. The system is engineered to allow flexible reconfiguration for different miRNA targets by altering probe and primer sequences. In this modular system, miR-i, a miRNA commonly expressed in healthy and cancerous samples, serves as a universal initiator for RCA. Signal amplification was subsequently driven by hybridization with two randomly selected miRNAs (miR-A and miR-D), enabling evaluation of system performance under varied input conditions. Fluorescence emission was measured following the addition of a molecular beacon and subsequent spectrofluorometric analysis. The biosensor exhibited a strong linear correlation between miRNA concentration and fluorescence intensity, achieving a limit of detection (LOD), and limit of quantification (LOQ) below 10 pM in both buffer and human serum. These findings demonstrate the platform's high sensitivity and robustness. Importantly, modular architecture allows for easy reconfiguration to detect a wide array of miRNAs or other non-coding RNAs, positioning this platform as a broadly applicable tool for molecular diagnostics beyond any specific disease context.

Indexed as

Biosensing TechniquesMicroRNAsNucleic Acid Amplification TechniquesHumansLimit of DetectionNucleic Acid HybridizationSpectrometry, FluorescenceMicroRNAsbiosensorcancermicroRNAmulti‐primed chain amplificationrolling circle amplification

Identifiers

PMID41243383
PMCPMC12620632

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.