Identification and verification of key genes in varicocele rats through high-throughput sequencing and bioinformatics analysis

被引:7
|
作者
Zhu, Jun [1 ]
Ou, Ningjing [1 ]
Song, Yuxuan [1 ]
Hu, Rui [1 ]
Zhang, Wei [1 ]
Liang, Zhen [1 ]
Yang, Yongjiao [2 ]
Liu, Xiaoqiang [1 ]
机构
[1] Tianjin Med Univ, Dept Urol, Gen Hosp, Tianjin, Peoples R China
[2] Tianjin Med Univ, Dept Urol, Second Hosp, Tianjin, Peoples R China
关键词
mRNA profile; sequencing analysis; testicular; varicocele; AUTOPHAGY; EXPRESSION; MEN; ACTIVATION; CASPASES; QUALITY; REPAIR; LEVEL;
D O I
10.1111/and.13662
中图分类号
R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
摘要
Varicocele (VC) is the most common treatable cause of infertility, but it is difficult to distinguish fertile from infertile VC populations because the pathogenesis is unclear. In order to study the related mechanism of VC causing male sterility, we made VC rat model by surgery, analysed the rat epididymal spermatozoa and used the transcriptome sequencing to compare all the mRNA expression differences in testicular tissue between VC rats and control rats. The differentially expressed genes (DEGs) of testicular tissue were also screened by the limma package in R software (version 3.6.1). The 273 DEGs were identified from the four profile data sets including 124 up-regulated genes and 149 down-regulated genes in the VC group compared to control group. We found that Sod1, Casp9, Atg7, Casp3 and Sirt1 in module 1 had higher degrees of connectivity in the first 10 hub genes. Gene ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis demonstrated that Sod1, Casp9, Atg7, Casp3 and Sirt1 are enriched in regulation of oxidative stress-induced cell death (GO:1,903,201) and Amyotrophic lateral sclerosis (KEGG:05,014). From the above evidence, we speculate that hypoxia plays an important role in the occurrence and development of VC, and it induced the abnormal expression of autophagy and apoptosis-related proteins may involve in the development of VC-associated infertility. Sod1, Casp9, Atg7, Casp3 and Sirt1 as well as their module are hub genes for VC, which will have attractive applications to provide new treatment targets for VC.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Identification of copper (Cu) stress-responsive grapevine microRNAs and their target genes by high-throughput sequencing
    Jiu, Songtao
    Leng, Xiangpeng
    Haider, Muhammad Salman
    Dong, Tianyu
    Guan, Le
    Xie, Zhenqiang
    Li, Xiaopeng
    Shangguan, Lingfei
    Fang, Jinggui
    ROYAL SOCIETY OPEN SCIENCE, 2019, 6 (01):
  • [42] High-throughput sequencing identification of genes involved with Varroa destructor resistance in the eastern honeybee, Apis cerana
    Ji, T.
    Yin, L.
    Liu, Z.
    Shen, F.
    Shen, J.
    GENETICS AND MOLECULAR RESEARCH, 2014, 13 (04): : 9086 - 9096
  • [43] Identification of key genes and pathways in type 2 diabetes mellitus and vitamin C metabolism through bioinformatics analysis
    Chen, Chen
    Han, Minghui
    Zhang, Weimei
    Cui, Jing
    Cui, Nan
    Cao, Lianzheng
    Luo, Guoqiang
    Sun, Jianping
    ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION, 2021, 30 (04) : 715 - 729
  • [44] Identification of colorectal cancer-restricted microRNAs and their target genes based on high-throughput sequencing data
    Chang, Jing
    Huang, Liya
    Cao, Qing
    Liu, Fang
    ONCOTARGETS AND THERAPY, 2016, 9 : 1787 - 1794
  • [45] Identification of invasive key genes in breast cancer by bioinformatics analysis
    Wang, Song
    Quan, Yi
    JOURNAL OF BUON, 2020, 25 (05): : 2255 - 2264
  • [46] Identification of key genes and pathways in diabetic nephropathy by bioinformatics analysis
    Geng, Xiao-dong
    Wang, Wei-wei
    Feng, Zhe
    Liu, Ran
    Cheng, Xiao-long
    Shen, Wan-jun
    Dong, Zhe-yi
    Cai, Guang-yan
    Chen, Xiang-mei
    Hong, Quan
    Wu, Di
    JOURNAL OF DIABETES INVESTIGATION, 2019, 10 (04) : 972 - 984
  • [47] Identification of key genes in atrial fibrillation using bioinformatics analysis
    Liu, Yueheng
    Tang, Rui
    Zhao, Ye
    Jiang, Xuan
    Wang, Yuchao
    Gu, Tianxiang
    BMC CARDIOVASCULAR DISORDERS, 2020, 20 (01)
  • [48] Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis
    Wu, Xuan
    Peng, Li
    Zhang, Yaqin
    Chen, Shilian
    Lei, Qian
    Li, Guancheng
    Zhang, Chaoyang
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2019, 16 (06): : 800 - 812
  • [49] Identification of key pathways and candidate genes in gliomas by bioinformatics analysis
    Cao, Yuan
    Song, Yali
    Quan, Juan
    Zhang, Liyu
    Tian, Qianqian
    Wu, Shuang
    Zhao, Chuanmei
    Li, Qiao
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2019, 12 (11): : 12679 - 12692
  • [50] LASSO and Bioinformatics Analysis in the Identification of Key Genes for Prognostic Genes of Gynecologic Cancer
    Yu, Shao-Hua
    Cai, Jia-Hua
    Chen, De-Lun
    Liao, Szu-Han
    Lin, Yi-Zhen
    Chung, Yu-Ting
    Tsai, Jeffrey J. P.
    Wang, Charles C. N.
    JOURNAL OF PERSONALIZED MEDICINE, 2021, 11 (11):