ArticleScientific reports2024
Relative synonymous codon usage and codon pair analysis of depression associated genes.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
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- Comparative chloroplast genomics reveals codon usage bias, simple sequence repeat dynamics, and phylogenomic relationships in Urticaceae.Frontiers in plant science · 2026Article
- Meltome Atlas of Arabidopsis thaliana proteome: a melting temperature-based identification of heat and cold resistant proteins using in-silico approach.BMC genomics · 2025Article
- Plastome diversity and phylogenetic insights among modern Egyptian wheat cultivars: Genome-Wide and Gene-Level perspectives.BMC plant biology · 2025Article
- Analysis of Preferred Codon Usage in the ZIKA Virus Genome and Their Implications for Genome Evolution and Vaccine Design.Indian journal of microbiology · 2025Review
- Molecular characterization of virulent genes in Pseudomonas aeruginosa based on componential usage divergence.Scientific reports · 2025Article
- A deep learning model trained on expressed transcripts across different tissue types reveals cell-type codon-optimization preferences.Nucleic acids research · 2025Article
- Codon-Usage Bias and Genomic Architecture of 79 Psoriasis-Susceptibility Genes: Implications for Expression Efficiency and Therapeutic Targeting.Psoriasis (Auckland, N.Z.) · 2025Article
- Selection on synonymous codon usage in soybean (Glycine max) WRKY genes.Scientific reports · 2024Article
- Comparative Analysis of Codon Usage Bias in SixInternational journal of molecular sciences · 2024Article
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Authors and funding
4 authors at 4 institutions in 5 countries.
Funding
Abstract
Depression negatively impacts mood, behavior, and mental and physical health. It is the third leading cause of suicides worldwide and leads to decreased quality of life. We examined 18 genes available at the genetic testing registry (GTR) from the National Center for Biotechnological Information to investigate molecular patterns present in depression-associated genes. Different genotypes and differential expression of the genes are responsible for ensuing depression. The present study, investigated codon pattern analysis, which might play imperative roles in modulating gene expression of depression-associated genes. Of the 18 genes, seven and two genes tended to up- and down-regulate, respectively, and, for the remaining genes, different genotypes, an outcome of SNPs were responsible alone or in combination with differential expression for different conditions associated with depression. Codon context analysis revealed the abundance of identical GTG-GTG and CTG-CTG pairs, and the rarity of methionine-initiated codon pairs. Information based on codon usage, preferred codons, rare, and codon context might be used in constructing a deliverable synthetic construct to correct the gene expression level of the human body, which is altered in the depressive state. Other molecular signatures also revealed the role of evolutionary forces in shaping codon usage.
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