A Study on microRNAs Targeting the Genes Overexpressed in Lung Cancer and their Codon Usage Patterns
Related Experiment Video
Updated: Sep 26, 2025

An In Vitro Protocol for Evaluating MicroRNA Levels, Functions, and Associated Target Genes in Tumor Cells
Published on: May 21, 2019
Supriyo Chakraborty1, Durbba Nath2
1Department of Biotechnology, Assam University, Silchar, 788011, Assam, India. supriyoch_2008@rediffmail.com.
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.
Insights
This study identifies key lung cancer genes targeted by multiple microRNAs (miRNAs). Efficient miRNA targeting is linked to accessible binding sites and rare codons, suggesting potential for miRNA-mediated cancer therapy.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Lung cancer caused 1.76 million deaths globally in 2018, with tobacco as a major risk factor.
- Identifying molecular mechanisms driving lung cancer is crucial for developing effective treatments.
Purpose of the Study:
- To computationally identify overexpressed lung cancer genes targeted by multiple microRNAs (miRNAs).
- To analyze miRNA-target site accessibility, translational efficiency, and codon usage bias in lung cancer genes.
- To explore the potential of miRNA-mediated therapy for lung cancer.
Main Methods:
- Downloaded complete coding sequences (CDS) of overexpressed lung cancer genes.
- Extracted human mature microRNA sequences from miRBASE.
- Performed computational analysis to find 7mer-m8 seed matches between miRNAs and mRNAs.
- Filtered genes based on maximum miRNA binding sites.
- Analyzed miRNA-binding site accessibility, translational rates, and codon usage bias (RSCU, tRNA relationship).
Main Results:
- Seven lung cancer genes (MUC5B, MUC16, COL1A1, COL5A1, CELSR2, COL7A1, FAT2) were identified as targets for numerous miRNAs.
- Higher accessibility of miRNA-binding regions and lower translational rates suggest efficient miRNA targeting.
- The presence of rare codons may enhance miRNA targeting efficiency.
- Codon usage bias analysis revealed non-uniform nucleotide usage and higher GC content in lung cancer genes, governed by selective constraints.
- The identified target genes' functionalities were elucidated.
Conclusions:
- miRNA targeting efficiency in lung cancer is influenced by binding site accessibility and codon usage.
- The study highlights the potential of exploiting miRNA silencing characteristics for developing novel cancer therapies.
- miRNA-mediated repression of overexpressed genes presents a promising therapeutic strategy for lung carcinoma.
Related Concept Videos
MicroRNAs
lncRNA - Long Non-coding RNAs

