Identification and Analysis of Sex-Biased MicroRNAs in Human Diseases

被引:4
作者
Zhong, Bitao [1 ]
Cui, Chunmei [1 ]
Cui, Qinghua [1 ]
机构
[1] Peking Univ, Sch Basic Med Sci, State Key Lab Vasc Homeostasis & Remodeling, Dept Biomed Informat,Ctr Noncoding RNA Med, 38 Xueyuan Rd, Beijing 100191, Peoples R China
关键词
microRNA; sex-biased expression; bioinformatic analysis;
D O I
10.3390/genes14091688
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
It is well known that significant differences exist between males and females in both physiology and disease. Thus, it is important to identify and analyze sex-biased miRNAs. However, previous studies investigating sex differences in miRNA expression have predominantly focused on healthy individuals or restricted their analysis to a single disease. Therefore, it is necessary to comprehensively identify and analyze the sex-biased miRNAs in diseases. For this purpose, in this study, we first identified the miRNAs showing sex-biased expression between males and females in diseases based on a number of miRNA expression datasets. Then, we performed a bioinformatics analysis for these sex-biased miRNAs. Notably, our findings revealed that women exhibit a greater number of conserved miRNAs that are highly expressed compared to men, and these miRNAs are implicated in a broader spectrum of diseases. Additionally, we explored the enriched transcription factors, functions, and diseases associated with these sex-biased miRNAs using the miRNA set enrichment analysis tool TAM 2.0. The insights gained from this study could carry implications for endeavors such as precision medicine and possibly pave the way for more targeted and tailored approaches to disease management.
引用
收藏
页数:14
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