Evidence map›Paper›PMID 35179676›Full record

ArticleMolecular and cellular biochemistry2022

Binding sites of miRNA on the overexpressed genes of oral cancer using 7mer-seed match.

Manal A A Moustafa, Durbba Nath, John J Georrge, Supriyo Chakraborty

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Article in Molecular and cellular biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 57% 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

4 authors at 2 institutions in 1 country.

Manal A A MoustafaDepartment of Bioinformatics, Christ College, Rajkot (Affiliated to Saurashtra University), Rajkot, Gujarat, India.
Durbba NathDepartment of Biotechnology, Assam University, Silchar, Assam, 788150, India.
John J GeorrgeDepartment of Bioinformatics, Christ College, Rajkot (Affiliated to Saurashtra University), Rajkot, Gujarat, India.
Supriyo ChakrabortyDepartment of Biotechnology, Assam University, Silchar, Assam, 788150, India. supriyoch_2008@rediffmail.com.ORCID http://orcid.org/0000-0002-5680-5276
Assam University · INSaurashtra University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microRNAs having a length of ~ 19-22 nucleotides are the small, non-coding RNAs. The evolution of microRNAs in many disorders may hold the key to tackle complex challenges. Oral cancer belongs to the group of head and neck cancer. It occurs in the mouth region that appears as an ulcer. In this study, we collected information on the overexpressed genes of oral cancer. The coding sequences of the genes were derived from NCBI and the entire set of human microRNAs present in miRBASE 21 was retrieved. The human microRNAs that can target the overexpressed genes of oral cancer were determined with the aid of our in-house software. The interaction between microRNAs and the overexpressed genes was evaluated with 7mer-m8 model of microRNA targeting. The genes DKK1 and APLN paired with only one miRNA i.e., miR-447 and miR-6087, respectively. But the genes INHBA and MMP1 were found to be targeted by 2 miRNAs, while the genes FN1, FAP, TGFPI, COL4A1, COL4A2, and LOXL2 were found to be targeted by 16, 5, 9, 18, 29, and 11 miRNAs. Subsequently, several measures such as free energy, translation efficiency, and cosine similarity metric were used to estimate the binding process. It was found that the target region's stability was higher than the upstream and downstream zones. The overexpressed genes' GC contents were calculated, revealing that the codons in target miRNA region were overall GC rich as well as GC3 rich. Lastly, gene ontology was performed to better understand each gene's involvement in biological processes, molecular function, and cellular component. Our study showed the role of microRNAs in gene repression, which could possibly aid in the prognosis and diagnosis of oral cancer.

Indexed as

Head and Neck NeoplasmsMicroRNAsMouth NeoplasmsBinding SitesHumansMicroRNAsBinding energyMicroRNAsMicroRNA targetingOral cancerOverexpressed genesTranslational efficiency

Identifiers

PMID35179676
OpenAlexW4212998605

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.