Evidence map›Paper›PMID 31573534›Full record

ArticleIET nanobiotechnology2019

Multi-threshold and multi-input DNA logic design style for profiling the microRNA biomarkers of real cancers.

Mercedeh Sanjabi, Ali Jahanian

Abstract read
In one paragraph

Article in IET nanobiotechnology, 2019. 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
–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

5 citing papers in PubMed.

  1. Fluorescence-Based Multimodal DNA Logic Gates.Nanomaterials (Basel, Switzerland) · 2024
    Article
  2. PhotocleavableChemical reviews · 2023
    Review
  3. Review
  4. Article
  5. 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

2 authors.

Mercedeh SanjabiFaculty of Computer Science and Engineering, Shahid Beheshti University, G. C., Tehran 1983963113, Iran. m_sanjabi@sbu.ac.ir.
Ali JahanianFaculty of Computer Science and Engineering, Shahid Beheshti University, G. C., Tehran 1983963113, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of cancer is very critical because it can reduce the treatment risk and cost. MicroRNAs (miRNAs) have been introduced in recent years as an efficient class of biomarkers for cancer early detection. Now, real-time polymerase chain reaction has been used to profile the miRNA expression, which is costly, time consuming and low accuracy. Most recently, DNA logic gates are used to detect the miRNA expression level that is more accurate and faster than previous methods. The DNA-based logic gates face with serious challenges such as the large complexity and low scalability. In this study, the authors proposed a methodology to design multi-threshold and multi-input DNA-based logic gates in response to specific miRNA inputs in live mammalian cells. The proposed design style can simultaneously recognise multiple miRNAs with different rising and falling thresholds. The design style has been evaluated on the lung cancer biomarkers and the experimental results show the efficiency of the proposed method in terms of accuracy, efficiency and speed.

Indexed as

Computers, MolecularBiomarkers, TumorDNA, NeoplasmEarly Detection of CancerGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLogicMicroRNAsNeoplasmsReproducibility of ResultsResearch DesignSensitivity and SpecificityTranscriptomeBiomarkers, TumorDNA, NeoplasmMicroRNAs

Identifiers

PMID31573534
PMCPMC8676478

What OpenQuestion holds

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Registered trials

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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.