Mina Zafarpiran, R. Sharifi, Zeinab Shirvani-Farsani
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Recently, it has been shown that the Single Nucleotide Polymorphism\n(SNPs) present within the 3'UTR of mRNAs can affect the miRNA-mediated gene regulation\nand susceptibility to a variety of human diseases.\n\n\n\nThe aim of this study was to analyze the SNPs within the 3'UTR of miRNA inflammatory\ntarget genes related to multiple sclerosis.\n\n\n\nBy DisGeNET, dbGaP, Ovid, DAVID, Web of knowledge, and SNPs databases,\n3'UTR genetic variants were identified in all inflammatory genes associated with MS. Also,\nmiRNA's target prediction databases were used for predicting the miRNA binding sites.\n\n\n\nWe identified 125 SNPs with MAF>0.05 located in the binding site of the miRNA\nof 35 genes among 59 inflammatory genes related to MS. Bioinformatics analysis\npredicted 62 MRE-modulating SNPs and 59 MRE-creating SNPs in the 3'UTR of MSimplicated\ninflammatory genes. These candidate SNPs within miRNA binding sites of inflammatory\ngenes can alter the miRNAs binding, and consequently lead to the mRNA\ngene regulation.\n\n\n\nTherefore, these miRNA and MRE-SNPs may play important roles in personalized\nmedicine of MS, and hence, they would be valuable for further functional verification\ninvestigations.\n","PeriodicalId":11056,"journal":{"name":"Current Pharmacogenomics and Personalized Medicine","volume":"17 1","pages":"133-147"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The SNPs within 3'UTR of miRNA Target Genes Related to Multiple Sclerosis: A Computational Prediction\",\"authors\":\"Mina Zafarpiran, R. 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引用次数: 1
摘要
多发性硬化症(MS)是一种中枢神经系统炎症性脱髓鞘疾病,遗传因素在其易感性中起重要作用。许多与MS相关的炎症基因的表达是由microRNA (miRNAs)调控的,其功能是通过与靶mRNA的3'非翻译区(3' utr)中的mirna识别元件(MREs)配对来抑制翻译。最近,研究表明mrna 3'UTR内的单核苷酸多态性(snp)可以影响mirna介导的基因调控和对多种人类疾病的易感性。本研究的目的是分析与多发性硬化症相关的miRNA炎症靶基因3'UTR内的snp。通过DisGeNET, dbGaP, Ovid, DAVID, Web of knowledge和snp数据库,在所有与ms相关的炎症基因中鉴定出3'UTR遗传变异。同时,miRNA的靶标预测数据库用于预测miRNA结合位点。在59个与ms相关的炎症基因中,我们发现了125个MAF>0.05的snp位于35个基因的mirna结合位点,生物信息学分析预测了62个mre调节snp和59个mre产生snp在mre简化炎症基因的3'UTR中。这些炎性基因miRNA结合位点内的候选snp可以改变miRNA的结合,从而导致mRNAgene的调控。因此,这些miRNA和MRE-SNPs可能在MS的个性化治疗中发挥重要作用,因此,它们将对进一步的功能验证研究有价值。
The SNPs within 3'UTR of miRNA Target Genes Related to Multiple Sclerosis: A Computational Prediction
Multiple Sclerosis (MS) is an inflammatory and demyelinating
disease of the central nervous system, and genetic factors play an important role in its susceptibility.
The expressions of many inflammatory genes implicated in MS are regulated
by microRNA (miRNAs), whose function is to suppress the translation by pairing with
miRNA Recognition Elements (MREs) present in the 3' untranslated region (3'UTR) of
target mRNA. Recently, it has been shown that the Single Nucleotide Polymorphism
(SNPs) present within the 3'UTR of mRNAs can affect the miRNA-mediated gene regulation
and susceptibility to a variety of human diseases.
The aim of this study was to analyze the SNPs within the 3'UTR of miRNA inflammatory
target genes related to multiple sclerosis.
By DisGeNET, dbGaP, Ovid, DAVID, Web of knowledge, and SNPs databases,
3'UTR genetic variants were identified in all inflammatory genes associated with MS. Also,
miRNA's target prediction databases were used for predicting the miRNA binding sites.
We identified 125 SNPs with MAF>0.05 located in the binding site of the miRNA
of 35 genes among 59 inflammatory genes related to MS. Bioinformatics analysis
predicted 62 MRE-modulating SNPs and 59 MRE-creating SNPs in the 3'UTR of MSimplicated
inflammatory genes. These candidate SNPs within miRNA binding sites of inflammatory
genes can alter the miRNAs binding, and consequently lead to the mRNA
gene regulation.
Therefore, these miRNA and MRE-SNPs may play important roles in personalized
medicine of MS, and hence, they would be valuable for further functional verification
investigations.
期刊介绍:
Current Pharmacogenomics and Personalized Medicine (Formerly ‘Current Pharmacogenomics’) Current Pharmacogenomics and Personalized Medicine (CPPM) is an international peer reviewed biomedical journal that publishes expert reviews, and state of the art analyses on all aspects of pharmacogenomics and personalized medicine under a single cover. The CPPM addresses the complex transdisciplinary challenges and promises emerging from the fusion of knowledge domains in therapeutics and diagnostics (i.e., theragnostics). The journal bears in mind the increasingly globalized nature of health research and services.