Evidence map›Paper›PMID 32338625›Full record

ArticleIET nanobiotechnology2020

RNA secondary structured logic gates for profiling the microRNA cancer biomarkers.

Mahsa Yazdani, Zohre Beiki, Ali Jahanian

Abstract read
In one paragraph

Article in IET nanobiotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Mahsa YazdaniFaculty of Computer Science and Engineering, Shahid Beheshti University, G.C., Velenjak, Tehran 19839-63113, Iran.
Zohre BeikiFaculty of Computer Engineering, University of Isfahan, Isfahan, Iran.
Ali JahanianFaculty of Computer Science and Engineering, Shahid Beheshti University, G.C., Velenjak, Tehran 19839-63113, Iran. jahanian@sbu.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deregulation of microRNAs expression is symptomatic of cancer disease and occurs before the awareness of cancer signs. Early detection of cancer disease can improve or drop the disease entirely. DNA computing is an emerging field of detecting microRNAs based on toehold-mediated strand displacement reactions, which is a more efficient method than the commonly used method like real-time PCR. Accuracy and cost of diagnostic applications are essential criteria that are achieved by using the DNA logic gates based on the DNA computing method. In this study, the authors proposed the multi-input liver cancer biosensor with the RNA secondary structure motifs as the computational module and two approaches are suggested.

Indexed as

Biosensing TechniquesComputers, MolecularMolecular Diagnostic TechniquesBiomarkers, TumorHumansLiver NeoplasmsLogicMicroRNAsBiomarkers, TumorMicroRNAs

Identifiers

PMID32338625
PMCPMC8676559

What OpenQuestion holds

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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.