Evidence map›Paper›PMID 32178411›Full record

ReviewMolecules (Basel, Switzerland)2020

PNA-Based MicroRNA Detection Methodologies.

Enrico Cadoni, Alex Manicardi, Annemieke Madder

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Recent Cutting-Edge Technologies for the Delivery of Peptide Nucleic Acid.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
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  15. 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 at 1 institution in 1 country.

Enrico CadoniOrganic and Biomimetic Chemistry Research Group, Ghent University, Krijgslaan 281 S4, B-9000 Ghent, Belgium.ORCID 0000-0001-5585-7579
Alex ManicardiOrganic and Biomimetic Chemistry Research Group, Ghent University, Krijgslaan 281 S4, B-9000 Ghent, Belgium.ORCID 0000-0003-0083-1392
Annemieke MadderOrganic and Biomimetic Chemistry Research Group, Ghent University, Krijgslaan 281 S4, B-9000 Ghent, Belgium.ORCID 0000-0003-0179-7608
Ghent University · BE

Funding

H2020 Marie Skłodowska-Curie Actions 665501H2020 Marie Skłodowska-Curie Actions 721613
6 · The paper itself

Abstract

MicroRNAs (miRNAs or miRs) are small noncoding RNAs involved in the fine regulation of post-transcriptional processes in the cell. The physiological levels of these short (20-22-mer) oligonucleotides are important for the homeostasis of the organism, and therefore dysregulation can lead to the onset of cancer and other pathologies. Their importance as biomarkers is constantly growing and, in this context, detection methods based on the hybridization to peptide nucleic acids (PNAs) are gaining their place in the spotlight. After a brief overview of their biogenesis, this review will discuss the significance of targeting miR, providing a wide range of PNA-based approaches to detect them at biologically significant concentrations, based on electrochemical, fluorescence and colorimetric assays.

Indexed as

BiomarkersHumansMicroRNAsPeptide Nucleic AcidsRNA Processing, Post-TranscriptionalBiomarkersMicroRNAsPeptide Nucleic Acidscolorimetric detectionelectrochemical biosensorsfluorescencelight-triggeredmicroRNAnanoparticlespeptide nucleic acid (PNA)templated reactions

Identifiers

PMID32178411
PMCPMC7144472
OpenAlexW3012313326

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.