ArticleMolecular biotechnology2022
A Study on microRNAs Targeting the Genes Overexpressed in Lung Cancer and their Codon Usage Patterns.
Article in Molecular biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
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- circMRPL35 promotes gastric cancer progression through the miR-6809-3p/ZNF90 axis and affects the EMT process and TGF-β1/SMAD2/3 signaling.Non-coding RNA research · 2026Article
- Discovery and validation of Hsa-microRNA-3665 promoter methylation as a potential biomarker for the prognosis of esophageal squaous cell carcinoma.International journal of clinical oncology · 2025Article
- DDP Induced Cytotoxicity through miR-215-5p/COL5A1/FSTL1 Axis to Regulate Autophagy in Lung Adenocarcinoma Cells.Current pharmaceutical biotechnology · 2025Article
- Expression profiling of circulating lncRNA GIAT4RA, lncRNA AATBC, lncRNA Sirt1-AS, and SMARCB1 in lung cancer patients.BMC cancer · 2024Article
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- Plasma circulating microRNAs associated with blood-based immune markers: a population-based study.Clinical and experimental immunology · 2024Article
- Transcriptome-wide 1-methyladenosine functional profiling of messenger RNA and long non-coding RNA in bladder cancer.Frontiers in genetics · 2024Article
- Turning off a few overexpressed genes in prostate cancer with microRNAs using a 7mer-seed match model.Journal of cancer research and clinical oncology · 2023Article
- The MYC-regulated lncRNA LNROP (ENSG00000254887) enables MYC-driven cell proliferation by controlling the expression of OCT2.Cell death & disease · 2023Article
- Novel insights into the immune cell landscape and gene signatures in autism spectrum disorder by bioinformatics and clinical analysis.Frontiers in immunology · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
As reported by WHO in 2018, there were 2.09 million victims of lung cancer and 1.76 million fatalities worldwide. Tobacco remains the biggest hazard in causing this lethal disease. To execute the computational analysis, the overexpressed lung cancer genes were retrieved from literature and subsequently their complete coding sequences (CDS) were downloaded. The mature microRNA sequences of human were extracted from miRBASE. The 7mer-m8 perfect seed match between miRNAs and mRNAs was found. Following filtration, 7 genes were selected that possessed binding sites for maximum miRNAs viz., MUC5B (miR-4479, miR-1227-5p, miR-3940-5p, miR-604, miR-4455, miR-4267, miR-6750-3p, miR-4530, miR-5587-5p, miR-4508, miR-4534, miR-4443, miR-4253, miR-1321, miR-4655-5p, miR-4297, miR-4296, miR-1268a, miR-3178, miR-4750-3p, miR-1306-3p, miR-1268b, miR-3656, miR-1233-3p, miR-6804-5p), MUC16 (miR-4456, miR-1205, miR-665, miR-6808-3p, miR-1279, miR-4257, miR-1227-5p, miR-888-3p, miR-4455, miR-4267, miR-4294, miR-1275, miR-4288, miR-1178-5p, miR-4314, miR-6829-3p, miR-548av-5p, miR-1294, miR-5587-5p, miR-3622b-5p, miR-1273f, miR-4770, miR-4327, miR-4318, miR-4531, miR-4534, miR-4443, miR-7106-5p, miR-3125, miR-3650, miR-4325, miR-4266, miR-7976, miR-1290, miR-4500, miR-7160-5p, miR-4291, miR-1306-3p, miR-6130, miR-4430, miR-4725-5p, miR-4441, miR-6077, miR-1304-5p, miR-7515, miR-3182, miR-6134), COL1A1 (miR-3665, miR-1227-5p, miR-6132, miR-2861, miR-4530, miR-3155b, miR-3155a, miR-1292-3p, miR-4497), COL5A1 (miR-7162-5p, miR-3665, miR-6809-3p, miR-4313, miR-4531, miR-4532, miR-3155b, miR-4323, miR-1207-3p, miR-4260, miR-6071, miR-4710, miR-7162-5p), CELSR2 (miR-7150, miR-4308, miR-6132, miR-4770, miR-4534, miR-4492, miR-3960, miR-3178, miR-4291, miR-563), COL7A1 (miR-665, miR-6730-3p, miR-1227-5p, miR-4265, miR-6829-3p, miR-4297, miR-4532, miR-3181, miR-4310, miR-4441, miR-4497, miR-1237-3p), and FAT2 (miR-4267, miR-1275, miR-4770, miR-1825, miR-6895-5p, miR-4535, miR-4493, miR-940, miR-6861-3p, miR-4310, miR-4710, miR-4447, miR-4472). The miRNA-target site and their flank regions were compared with respect to site accessibility, translational rate, and relationship between RSCU and tRNAs. Higher accessibilities to miRNA-binding regions and lower translational rates indicated that miRNAs' binding to their respective targets might be efficient. The presence of rare codons might further augment miRNA targeting. The codon usage bias study of the genes related to lung cancer revealed non-uniform usage of nucleotides and comparatively higher GC content. Lower biasness prevailed in the genes and selective constraint mostly governed them. Lastly, the functionalities of target genes were also revealed. The silencing characteristic of miRNAs might be exploited to design miRNA-mediated therapy that might potentially repress the overexpressed genes in carcinoma.
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