自噬基因 BECN1 调控区 SNPs 的计算研究

Q3 Pharmacology, Toxicology and Pharmaceutics
Sargeet Kaur, Jitendraa Vashistt, H. Changotra
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引用次数: 0

摘要

自噬过程具有细胞保护作用,可确保细胞健康存活。自噬的作用与多种疾病有关,因此成为治疗干预的重要候选对象。Beclin 1 是一种候选自噬蛋白,它通过与其他各种自噬蛋白相互作用,在自噬的启动和成熟过程中发挥着关键作用。据报道,Beclin1 与多种人类疾病有关。本研究采用计算方法研究编码 Beclin1 基因的非编码区单核苷酸多态性(SNPs)的影响。研究使用 RegulomeDB、SNP2TFBS 和 PROMO ALLGEN 预测启动子区域变异对转录因子结合位点的影响。miRdSNP、PolymiRTS Database 3.0、miRNASNP-V3、MicroSNIPER和miRmap分析了位于3'UTR内的SNP。结果发现,9 个启动子区域变异改变了转录因子结合位点,4 个 3'UTR 变异为 miRNA 创造了新的靶位点或破坏了现有的靶位点。可以通过实验对这些已确定的 SNPs 进行功能分析,以揭示它们与特定疾病的关系,以及人类对某种疾病的遗传易感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Investigation of Regulatory Region SNPs of Autophagy Gene BECN1
The autophagy process plays a cytoprotective role and ensures the healthy survival of a cell. The role of autophagy has been implicated in various diseases, making it an essential candidate for therapeutic interventions. Beclin 1, a candidate autophagy protein, plays a critical role during autophagy initiation and maturation by interacting with various other autophagy proteins. Beclin1 has been reported to be involved in various human diseases. This study uses a computational approach to study the effect of non-coding region single nucleotide polymorphisms (SNPs) of gene encoding beclin1. RegulomeDB, SNP2TFBS, and PROMO ALLGEN were used to predict the effect of promoter region variants on transcription factor binding sites. SNPs located within 3'UTR were analyzed by miRdSNP, PolymiRTS Database 3.0, miRNASNP-V3, MicroSNIPER, and miRmap. Nine promoter region variants that alter the transcription factor binding sites and 4 variants in 3'UTR were identified that either create a new target site for miRNA or disrupt an existing one. The functional analysis of these identified SNPs could be done experimentally to unravel their relation with a particular disease and the genetic predisposition of human subjects for a disease.
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来源期刊
Defence Life Science Journal
Defence Life Science Journal Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
0.80
自引率
0.00%
发文量
26
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