Evidence map›Paper›PMID 34378814›Full record

ArticleBiotechnology and applied biochemistry2022

MicroRNA of N-region from SARS-CoV-2: Potential sensing components for biosensor development.

Fatin Syakirah Halim, N A Parmin, Uda Hashim, Subash C B Gopinath, Farrah Aini Dahalan, Iffah Izzati Zakaria, Wei Chern Ang, Nurfareezah Fareezah Jaapar

Open access · bronzeAbstract read
In one paragraph

Article in Biotechnology and applied biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. 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

8 authors at 3 institutions in 1 country.

Fatin Syakirah HalimInstitute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, Perlis, 01000, Malaysia.ORCID https://orcid.org/0000-0001-9365-7113
N A ParminInstitute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, Perlis, 01000, Malaysia.ORCID https://orcid.org/0000-0002-4919-4550
Uda HashimInstitute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, Perlis, 01000, Malaysia.ORCID https://orcid.org/0000-0001-5118-6069
Subash C B GopinathInstitute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, Perlis, 01000, Malaysia.ORCID https://orcid.org/0000-0002-8347-4687
Farrah Aini DahalanFaculty of Civil Engineering Technology, Universiti Malaysia Perlis (UniMAP), Arau, Perlis, 02600, Malaysia.ORCID https://orcid.org/0000-0002-6743-7448
Iffah Izzati ZakariaMalaysia Genome Institute (MGI), National Institute of Biotechnology (NIBM), Kajang, Selangor, Malaysia.ORCID https://orcid.org/0000-0001-5888-1304
Wei Chern AngClinical Research Centre, Ministry of Health Malaysia, Hospital Tuanku Fauziah Perlis, Kangar, Perlis, 01000, Malaysia.ORCID https://orcid.org/0000-0002-6599-3301
Nurfareezah Fareezah JaaparInstitute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, Perlis, 01000, Malaysia.ORCID https://orcid.org/0000-0003-3787-7407
Universiti Malaysia Perlis · MYMalaysia Genome Institute · MYMinistry of Health · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An oligonucleotide DNA probe has been developed for the application in the DNA electrochemical biosensor for the early diagnosis of coronavirus disease (COVID-19). Here, the virus microRNA from the N-gene of severe acute respiratory syndrome-2 (SARS-CoV-2) was used for the first time as a specific target for detecting the virus and became a framework for developing the complementary DNA probe. The sequence analysis of the virus microRNA was carried out using bioinformatics tools including basic local alignment search tools, multiple sequence alignment from CLUSTLW, microRNA database (miRbase), microRNA target database, and gene analysis. Cross-validation of distinct strains of coronavirus and human microRNA sequences was completed to validate the percentage of identical and consent regions. The percent identity parameter from the bioinformatics tools revealed the virus microRNAs' sequence has a 100% match with the genome of SARS-CoV-2 compared with other coronavirus strains, hence improving the selectivity of the complementary DNA probe. The 30 mer with 53.0% GC content of complementary DNA probe 5' GCC TGA GTT GAG TCA GCA CTG CTC ATG GAT 3' was designed and could be used as a bioreceptor for the biosensor development in the clinical and environmental diagnosis of COVID-19.

Indexed as

Biosensing TechniquesCOVID-19MicroRNAsDNA, ComplementaryDNA ProbesGenome, ViralHumansSARS-CoV-2DNA, ComplementaryDNA ProbesMicroRNAsBiomarkerbiosensorDNA probeIn silco analysismicroRNASARS-CoV-2

Identifiers

PMID34378814
PMCPMC8427135
OpenAlexW3192060580

What OpenQuestion holds

Textmetadata
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.