Evidence map›Paper›PMID 39619512›Full record

ArticleACS omega2024

An Upconversion Fluorescent Resonant Energy Transfer Biosensor for the Detection of microRNA through DNA Hybridization.

Ling Yang, Chunxiang Che, Mengfan Guo, Chunwei Fan, Lina Sun, Shanshan Chen

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In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

6 authors.

Ling YangDepartment of Presbyatrics, The 900th Hospital of the People's Liberation Army Joint Service Support Force, Fuzhou 350007, China.
Chunxiang CheDepartment of Presbyatrics, The 900th Hospital of the People's Liberation Army Joint Service Support Force, Fuzhou 350007, China.
Mengfan GuoCollege of Materials Science and Engineering, Fuzhou University, Fuzhou 350108, China.
Chunwei FanDepartment of Presbyatrics, The 900th Hospital of the People's Liberation Army Joint Service Support Force, Fuzhou 350007, China.
Lina SunDepartment of Presbyatrics, The 900th Hospital of the People's Liberation Army Joint Service Support Force, Fuzhou 350007, China.ORCID https://orcid.org/0009-0003-6365-2452
Shanshan ChenDepartment of Presbyatrics, The 900th Hospital of the People's Liberation Army Joint Service Support Force, Fuzhou 350007, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs), a class of small molecules with important regulatory functions, have been widely used in biosensing as biomarkers for the early diagnosis of various diseases (such as osteoporosis). Therefore, it is necessary to develop a miRNA detection platform with high sensitivity and specificity. Herein, an upconversion biosensor based on fluorescent resonant energy transfer (FRET) for the detection of miRNAs was developed. Gold nanoparticles (AuNPs, fluorescence acceptors) were conjugated with aptamers, while upconversion nanoparticles (UCNPs, fluorescence donors) were functionalized with the corresponding complementary DNA (cDNA). The upconversion luminescence (UCL) is quenched vis FRET due to the good overlap between UCNP fluorescence emission and AuNP absorption. In the presence of the target miRNA, the aptamers preferentially bind to the miRNA, thereby dissociating the UCNP-cDNA from the AuNP-aptamers, resulting in the recovery of the UCL. The UCL recovery efficiency increased in a miRNA concentration-dependent manner, which supported the principle of miRNA quantification. The UCNP-based FRET biosensor exhibited sensitive detection of miRNA-21 (as a model analyte) with low limit of detection of 5.91 pM. In addition, depending on the near-infrared excitation and a simple complementary binding reaction during the detection process, the designed biosensor not only effectively eliminated the autofluorescence but also reduced the detection time.

Identifiers

PMID39619512
PMCPMC11603266

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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.