AI Article Synopsis
- - The study investigates how single nucleotide polymorphisms (SNPs) at microRNA (miRNA) binding sites could influence gene expression and potentially increase the risk of diseases like lung cancer.
- - Researchers analyzed 335 inflammatory genes linked to lung cancer and found 149 of them with possible miRNA-binding sites, using specialized algorithms to identify SNPs in their 3'UTRs.
- - By calculating the binding free energy of these SNPs, the team prioritized 269 of them, suggesting their method can streamline the identification of important SNPs, reducing both time and costs in research.
Article Abstract
Single nucleotide polymorphisms located at microRNA (miRNA)-binding sites are likely to affect the expression of miRNA targets and may contribute to the susceptibility of humans to common diseases. Here 335 candidate lung cancer-related inflammatory genes were selected according to the existing literature and database. We identified putative miRNA-binding sites of 149 genes by specialised algorithms and screened SNPs in the 3'UTRs of these genes. By calculating binding free energy, we sorted 269 SNPs on the basis of the possibility of prediction. The proposed approach could help to easy the identification of functionally relevant SNPs and minimize the workflow and the costs.
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| http://dx.doi.org/10.7314/apjcp.2014.15.8.3601 | DOI Listing |
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