Identification and Analysis of Human Sex-biased MicroRNAs
Sex differences are widely observed under various circumstances ranging from physiological processes to therapeutic responses, and a myriad of sex-biased genes have been identified. In recent years, transcriptomic datasets of microRNAs (miRNAs), an important class of non-coding RNAs, become increasi...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2018-06-01
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| Series: | Genomics, Proteomics & Bioinformatics |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S167202291830130X |
| _version_ | 1797370288189472768 |
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| author | Chunmei Cui Weili Yang Jiangcheng Shi Yong Zhou Jichun Yang Qinghua Cui Yuan Zhou |
| author_facet | Chunmei Cui Weili Yang Jiangcheng Shi Yong Zhou Jichun Yang Qinghua Cui Yuan Zhou |
| author_sort | Chunmei Cui |
| collection | DOAJ |
| description | Sex differences are widely observed under various circumstances ranging from physiological processes to therapeutic responses, and a myriad of sex-biased genes have been identified. In recent years, transcriptomic datasets of microRNAs (miRNAs), an important class of non-coding RNAs, become increasingly accessible. However, comprehensive analysis of sex difference in miRNA expression has not been performed. Here, we identified the differentially-expressed miRNAs between males and females by examining the transcriptomic datasets available in public databases and conducted a systemic analysis of their biological characteristics. Consequently, we identified 73 female-biased miRNAs (FmiRs) and 163 male-biased miRNAs (MmiRs) across four tissues including brain, colorectal mucosa, peripheral blood, and cord blood. Our results suggest that compared to FmiRs, MmiRs tend to be clustered in the human genome and exhibit higher evolutionary rate, higher expression tissue specificity, and lower disease spectrum width. In addition, functional enrichment analysis of miRNAs show that FmiR genes are significantly associated with metabolism process and cell cycle process, whereas MmiR genes tend to be enriched for functions like histone modification and circadian rhythm. In all, the identification and analysis of sex-biased miRNAs together could provide new insights into the biological differences between females and males and facilitate the exploration of sex-biased disease susceptibility and therapy. Keywords: Sex bias, MicroRNAs, Conservation, Disease association, Personalized medicine |
| first_indexed | 2024-03-08T18:00:15Z |
| format | Article |
| id | doaj.art-60ac51f1ecbd4dcab4a7875e2f4642be |
| institution | Directory Open Access Journal |
| issn | 1672-0229 |
| language | English |
| last_indexed | 2024-03-08T18:00:15Z |
| publishDate | 2018-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Genomics, Proteomics & Bioinformatics |
| spelling | doaj.art-60ac51f1ecbd4dcab4a7875e2f4642be2024-01-02T02:16:06ZengElsevierGenomics, Proteomics & Bioinformatics1672-02292018-06-01163200211Identification and Analysis of Human Sex-biased MicroRNAsChunmei Cui0Weili Yang1Jiangcheng Shi2Yong Zhou3Jichun Yang4Qinghua Cui5Yuan Zhou6Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Laboratory of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing 100191, ChinaDepartment of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, School of Basic Medical Sciences, Peking University, Beijing 100191, ChinaDepartment of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Laboratory of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing 100191, ChinaBeijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, ChinaDepartment of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, School of Basic Medical Sciences, Peking University, Beijing 100191, ChinaDepartment of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Laboratory of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Corresponding authors.Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Laboratory of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, Beijing 100191, China; Corresponding authors.Sex differences are widely observed under various circumstances ranging from physiological processes to therapeutic responses, and a myriad of sex-biased genes have been identified. In recent years, transcriptomic datasets of microRNAs (miRNAs), an important class of non-coding RNAs, become increasingly accessible. However, comprehensive analysis of sex difference in miRNA expression has not been performed. Here, we identified the differentially-expressed miRNAs between males and females by examining the transcriptomic datasets available in public databases and conducted a systemic analysis of their biological characteristics. Consequently, we identified 73 female-biased miRNAs (FmiRs) and 163 male-biased miRNAs (MmiRs) across four tissues including brain, colorectal mucosa, peripheral blood, and cord blood. Our results suggest that compared to FmiRs, MmiRs tend to be clustered in the human genome and exhibit higher evolutionary rate, higher expression tissue specificity, and lower disease spectrum width. In addition, functional enrichment analysis of miRNAs show that FmiR genes are significantly associated with metabolism process and cell cycle process, whereas MmiR genes tend to be enriched for functions like histone modification and circadian rhythm. In all, the identification and analysis of sex-biased miRNAs together could provide new insights into the biological differences between females and males and facilitate the exploration of sex-biased disease susceptibility and therapy. Keywords: Sex bias, MicroRNAs, Conservation, Disease association, Personalized medicinehttp://www.sciencedirect.com/science/article/pii/S167202291830130X |
| spellingShingle | Chunmei Cui Weili Yang Jiangcheng Shi Yong Zhou Jichun Yang Qinghua Cui Yuan Zhou Identification and Analysis of Human Sex-biased MicroRNAs Genomics, Proteomics & Bioinformatics |
| title | Identification and Analysis of Human Sex-biased MicroRNAs |
| title_full | Identification and Analysis of Human Sex-biased MicroRNAs |
| title_fullStr | Identification and Analysis of Human Sex-biased MicroRNAs |
| title_full_unstemmed | Identification and Analysis of Human Sex-biased MicroRNAs |
| title_short | Identification and Analysis of Human Sex-biased MicroRNAs |
| title_sort | identification and analysis of human sex biased micrornas |
| url | http://www.sciencedirect.com/science/article/pii/S167202291830130X |
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