摘要
目的:通过生物信息学方法对铜死亡关键调控基因铁氧化还原蛋白1(ferredoxin 1,FDX1)的基因结构和特性进行解析。方法:从GenBank数据库获取人FDX1基因DNA序列,利用数据挖掘软件对其一般特性、结构识别、特性分析和组织表达4个方面进行生物信息学分析。结果:人FDX1基因定位于11q22.3,基因总长35553 bp,密码子偏性较强,重复序列占基因总长61.40%;上游2000 bp区域存在5个启动子(评分>0.90)、71个转录因子结合位点、多聚腺苷酸尾信号在518位点,未预测到CpG岛;亚细胞定位在线粒体的可能性最大;分子功能预测其具有2Fe-2S簇结合等活性;人FDX1 mRNA相对表达水平最高为肾上腺[146(100×FPKM)1/2],各组织癌症特异性程度都较低。结论:FDX1的线粒体亚细胞定位、具有2Fe-2S簇活性以及涉及的信号通路等基因特性,从生物算法角度证实其可作为铜死亡关键调控基因。
Objective:To analyze the gene structure and characteristics of ferredoxin 1(FDX1),a key regulatory gene for cuproptosis,using bioinformatics methods.Methods:The human FDX1 DNA sequence was obtained from GenBank database,and bioinformatics analysis of FDX1 general characteristics,structural recognition,characteristic analysis,and tissue expression was conducted by using data mining software.Results:The human FDX1 gene is located at 11q22.3,with a total length of 35553 bp,strong codon bias,and the repetitive sequence accounting for 61.40%of the total length of the gene.There are 5 promoters(score>0.90),71 transcription factor binding sites and polyadenylation tail signal at site 518 in the upstream 2000 bp region,and no CpG island can be predicted.Subcellular localization of FDX1 is most likely in the mitochondria.The molecular function prediction showed that FDX1 had 2Fe-2S cluster binding activity.The maximum mRNA of human FDX1 gene expression was in the adrenal gland[146(100×FPKM)1/2].The cancer specificity of FDX1 mRNA in each tissue is low.Conclusion:The mitochondrial subcellular localization,2Fe-2S cluster activity,and involved signaling pathways of FDX1 have been confirmed that FDX1 could be used as a key regulatory genes for cuproptosis from the perspective of biological algorithms.
作者
关蕴良
GUAN Yunliang(Basic Medical College,Panzhihua University,Panzhihua Sichuan 617000,China;Brain Science Research Center,Panzhihua University,Panzhihua Sichuan 617000,China)
出处
《江苏大学学报（医学版）》
CAS
2023年第4期310-316,322,共8页
Journal of Jiangsu University：Medicine Edition
基金
国家自然科学基金资助项目(81301893)
四川省科技计划国际合作资助项目(2018HH0120)
四川省高校重点实验室开放基金资助项目(GR-2021-F-02)。
