Evidence map›Paper›PMID 36761298›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Evaluation of probe-based ultra-sensitive detection of miRNA using a single-molecule fluorescence imaging method: miR-126 used as the model.

Longkai Liu, Xiaoning Wang, Yan Li, Jianwei Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Longkai LiuSchool of Pharmacy, Department of Chemistry, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Xiaoning WangDepartment of Pharmacy, Qingdao Municipal Hospital, Qingdao, China.
Yan LiSchool of Pharmacy, Department of Chemistry, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Jianwei LiuSchool of Pharmacy, Department of Chemistry, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Fudan University · CNQingdao Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study proposed a new detection method of miRNA based on single-molecule fluorescence imaging, a method that has been successfully developed to measure the light signal of individual molecules labeled with proper fluorophores. We designed probes 1 and 2 to be labeled with Cy5 dye and BHQ2 quencher at the 3'terminals, respectively. Probe 1 consisted of two parts, the longer part complementary to miR-126 and the shorter part complementary to probe 2. After hybridization, miR-126 bound to probe 1 by replacing probe 2 and assembled into a double-stranded DNA with probe 1. The abundance of miR-126 was quantified by detecting image spots of Cy5 dye molecules from probe 1/miR-126 complexes. MiR-126 single-molecule imaging method showed high specificity and sensitivity for miR-126 with a detection limit of 50 fM. This method has good selectivity for miR-126 detection with 2.1-fold, 8.8-fold, and 26.9-41.3-fold higher than those of single-base mismatched miR-126, three-base mismatched miR-126 and non-complementary miRNAs (miR-221, miR-16, miR-143 and miR-141). The method to detect miR-126 was validated in breast cancer cell lines. Our single-molecule miRNA imaging showed high specificity and sensitivity for miRNAs. By changing the base pair sequence of the designed probes, our method would be able to detect different miRNAs.

Indexed as

cancer biomarker detectionDNA probefluorescencemicroRNAsingle molecule imaging

Identifiers

PMID36761298
PMCPMC9902880
OpenAlexW4317821522

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.