Evidence map›Paper›PMID 33376911›Full record

ArticleACS omega2020

Dual-Signal Amplification Strategy for Sensitive MicroRNA Detection Based on Rolling Circle Amplification and Enzymatic Repairing Amplification.

Fubing Xiao, Jie Liu, Qinghui Guo, Zhibo Du, Hong Li, Chunlong Sun, Wenfang Du

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  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

7 authors at 4 institutions in 1 country.

Fubing XiaoHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, College of Public Health, University of South China, Hengyang 421001, P. R. China.
Jie LiuHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, College of Public Health, University of South China, Hengyang 421001, P. R. China.
Qinghui GuoBinzhou Medical University Hospital, Binzhou 256600, P. R. China.
Zhibo DuBinzhou Center for Disease Control and Prevention, Binzhou 256600, P. R. China.
Hong LiHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, College of Public Health, University of South China, Hengyang 421001, P. R. China.
Chunlong SunCollege of Biological and Environmental Engineering, Binzhou University, Binzhou 256600, P. R. China.
Wenfang DuHunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, College of Public Health, University of South China, Hengyang 421001, P. R. China.
University of South China · CNBinzhou University · CNBinzhou Medical University · CNBinzhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) play crucial regulatory roles as post-transcriptional regulators for gene expression and serve as promising biomarkers for diagnosis and prognosis of diseases. Herein, a dual-signal amplification method has been developed for sensitive and selective detection of miRNA based on rolling circle amplification (RCA) and enzymatic repairing amplification (ERA) with low nonspecific background. This strategy designs a padlock probe that can be cyclized in the presence of target miRNA to initiate the RCA reaction, after which the TaqMan probes that are complementary to the RCA products can be cyclically cleaved to produce obvious fluorescence signals with the help of endonuclease IV (Endo IV). Attributed to the dual-signal amplification procedure and the high fidelity of Endo IV, the RCA-ERA method allows quantitative detection of miR-21 in a dynamic range from 2 pM to 5 nM with a low background signal. Moreover, it has the ability to discriminate single-base difference between miRNAs and shows good performance for miRNA detection in complex biological samples. The results demonstrate that the RCA-ERA assay holds a great promise for miRNA-based diagnostics.

Identifiers

PMID33376911
PMCPMC7758957
OpenAlexW3111041877

What OpenQuestion holds

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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 OpenQuestion graph.