Evidence map›Paper›PMID 36274120›Full record

ArticleJournal of nanobiotechnology2022

Silver nano-reporter enables simple and ultrasensitive profiling of microRNAs on a nanoflower-like microelectrode array on glass.

Ying Gan, Mingxing Zhou, Huiqiang Ma, Jiameng Gong, Shan-Yu Fung, Xian Huang, Hong Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2022. 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
1.2field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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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 2 institutions in 1 country.

Ying Gan *The Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, Department of Pharmacology, School of Basic Medical Sciences, School of Biomedical Engineering, Intensive Care Unit, The Second Hospital, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Mingxing Zhou *Department of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin, 300072, China.
Huiqiang MaThe Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, Department of Pharmacology, School of Basic Medical Sciences, School of Biomedical Engineering, Intensive Care Unit, The Second Hospital, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Jiameng GongThe Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, Department of Pharmacology, School of Basic Medical Sciences, School of Biomedical Engineering, Intensive Care Unit, The Second Hospital, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Shan-Yu FungDepartment of Immunology, School of Basic Medical Sciences, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
Xian HuangDepartment of Biomedical Engineering, Tianjin University, 92 Weijin Road, Tianjin, 300072, China. huangxian@tju.edu.cn.
Hong YangThe Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, Department of Pharmacology, School of Basic Medical Sciences, School of Biomedical Engineering, Intensive Care Unit, The Second Hospital, Tianjin Medical University, No. 22 Qixiangtai Road, Heping District, Tianjin, 300070, China. hongyang@tmu.edu.cn.
Tianjin Medical University · CNTianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs with ~ 22 nucleotides, playing important roles in the post-transcriptional regulation of gene expression. The expression profiles of many miRNAs are closely related to the occurrence and progression of cancer and can be used as biomarkers for cancer diagnosis and prognosis. However, their intrinsic properties, such as short length, low abundance and high sequence homology, represent great challenges in miRNA detection of clinical samples. To overcome these challenges, we developed a simple, ultrasensitive detection platform of electrochemical miRNAs chip (e-miRchip) with a novel signal amplification strategy using silver nanoparticle reporters (AgNRs) for multiplexed, direct, electronic profiling of miRNAs. A two-step hybridization strategy was used to detect miRNAs, where the target miRNA hybridizes with a stem-loop probe to unlock the probe first, and the opened stem-loop can further hybridize with AgNRs for signaling amplification. To enhance the detection sensitivity, the gold nanoflower electrodes (GNEs) were constructed in the microaperture arrays of the e-miRchips by electroplating. With the optimal size of the GNEs, the e-miRchip showed excellent performance for miR-21 detection with a detection limit of 0.56 fM and a linear range extended from 1 fM to 10 pM. The e-miRchip also exhibited good specificity in differentiating the 3-base mismatched sequences of the target miRNA. In addition, the e-miRchip was able to directly detect miR-21 expression in the total RNA extracts or cell lysates collected from lung cancer cells and normal cells. This work demonstrated the developed e-miRchip as an efficient and promising miniaturized point-of-care diagnostic device for the early diagnosis and prognosis of cancers.

Indexed as

Biosensing TechniquesMetal NanoparticlesMicroRNAsGoldLimit of DetectionMicroelectrodesNucleotidesSilverGoldMicroRNAsNucleotidesSilverElectrochemical biosensorMicroarraymicroRNAsNanostructured electrodesSilver nanoparticle

Identifiers

PMID36274120
PMCPMC9590124
OpenAlexW4307105947

What OpenQuestion 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 OpenQuestion graph.