Literature DB >> 32487258

Single-cell DNA methylation sequencing reveals epigenetic alterations in mouse oocytes superovulated with different dosages of gonadotropins.

Ying Huo1,2,3,4, Zhi Qiang Yan1,2,3,5, Peng Yuan1,2,3, Meng Qin1,2,3, Ying Kuo1,2,3, Rong Li1,2,3,6, Li Ying Yan1,2,3,6, Huai Liang Feng7, Jie Qiao8,9,10,11,12.   

Abstract

BACKGROUND: Epigenetic abnormalities caused by superovulation have recently attracted increasing attention. Superovulation with exogenous hormones may prevent oocytes from establishing an appropriate epigenetic state, and this effect may extend to the methylation programming in preimplantation embryos, as de novo DNA methylation is a function of developmental stage of follicles and oocyte size. Follicle-stimulating hormone (FSH) and human menopausal gonadotropin (hMG) are common gonadotropins used for superovulation, and appropriate concentrations of these gonadotropins might be necessary. However, no systematic study on the effects of DNA methylation alterations in oocytes associated with superovulation with different dosages of FSH/hMG at the single-cell level has yet been reported. In the current study, different dosages of FSH/hMG combined with human chorionic gonadotropin (hCG) were used in female mice to generate experimental groups, while naturally matured oocytes and oocytes superovulated with only hCG were respectively used as controls. Single-cell level DNA methylation sequencing was carried out on all these matured oocytes.
RESULTS: In this study, we revealed that the genome-wide methylation pattern and CG methylation level of the maternal imprinting control regions of all mature oocytes were globally conserved and stable. However, methylation alterations associated with superovulation were found at a specific set of loci, and the differentially methylated regions (DMRs) mainly occurred in regions other than promoters. Furthermore, some of the annotated genes in the DMRs were involved in biological processes such as glucose metabolism, nervous system development, cell cycle, cell proliferation, and embryo implantation and were altered in all dosages of FSH/hMG group (for example, Gfod2 and SYF2). Other genes were impaired only after high gonadotropin dosages (for instance, Sox17 and Phactr4).
CONCLUSIONS: In conclusion, the current study addressed the effects of superovulation on DNA methylation from the perspective of different dosages of gonadotropins at the single-cell level. We found that the genome-wide DNA methylation landscape was globally preserved irrespective of superovulation or of the kind and dosage of gonadotropins used, whereas the methylation alterations associated with superovulation occurred at a specific set of loci. These observed effects reflect that superovulation recruits oocytes that would not normally be ovulated or that have not undergone complete epigenetic maturation. Our results provide an important reference for the safety assessment of superovulation with different dosages of gonadotropins. However, it should be noted that this study has some limitations, as the sample number and library coverage of analyzed oocytes were relatively low. Future studies with larger sample sizes and high-coverage libraries that examine the effects of superovulation on embryo development and offspring health as well as the underlying mechanisms are still needed.

Entities:  

Keywords:  Epigenetic variations; Gonadotropins dosage; Single-cell DNA methylation sequencing; Superovulation

Year:  2020        PMID: 32487258     DOI: 10.1186/s13148-020-00866-w

Source DB:  PubMed          Journal:  Clin Epigenetics        ISSN: 1868-7075            Impact factor:   6.551


  9 in total

1.  Placental Abnormalities are Associated With Specific Windows of Embryo Culture in a Mouse Model.

Authors:  Lisa A Vrooman; Eric A Rhon-Calderon; Kashviya V Suri; Asha K Dahiya; Yemin Lan; Richard M Schultz; Marisa S Bartolomei
Journal:  Front Cell Dev Biol       Date:  2022-04-25

Review 2.  Epigenetic Risks of Medically Assisted Reproduction.

Authors:  Romualdo Sciorio; Nady El Hajj
Journal:  J Clin Med       Date:  2022-04-12       Impact factor: 4.964

3.  The proteome, not the transcriptome, predicts that oocyte superovulation affects embryonic phenotypes in mice.

Authors:  Leila Taher; Steffen Israel; Hannes C A Drexler; Wojciech Makalowski; Yutaka Suzuki; Georg Fuellen; Michele Boiani
Journal:  Sci Rep       Date:  2021-12-09       Impact factor: 4.379

4.  Assessment of Cardiovascular Health of Children Ages 6 to 10 Years Conceived by Assisted Reproductive Technology.

Authors:  Linlin Cui; Min Zhao; Zhirong Zhang; Wei Zhou; Jianan Lv; Jingmei Hu; Jinlong Ma; Mei Fang; Lili Yang; Costan G Magnussen; Bo Xi; Zi-Jiang Chen
Journal:  JAMA Netw Open       Date:  2021-11-01

5.  Embryo culture media differentially alter DNA methylating enzymes and global DNA methylation in embryos and oocytes.

Authors:  Fatma Uysal; Selda Kahveci; Gozde Sukur; Ozgur Cinar
Journal:  J Mol Histol       Date:  2021-11-05       Impact factor: 3.156

6.  Temporary Increased LDL-C in Offspring with Extreme Elevation of Maternal Preconception Estradiol: A Retrospective Cohort Study.

Authors:  Wanbing Feng; Di Zhang; Linlin Fu; Jingmei Hu; Shanshan Gao; Xiaocui Song; Linlin Cui
Journal:  Clin Epidemiol       Date:  2022-04-07       Impact factor: 4.790

7.  Effects of stressful life-events on DNA methylation in panic disorder and major depressive disorder.

Authors:  Darina Czamara; Alexa Neufang; Roman Dieterle; Stella Iurato; Janine Arloth; Jade Martins; Marcus Ising; Elisabeth E Binder; Angelika Erhardt
Journal:  Clin Epigenetics       Date:  2022-04-27       Impact factor: 7.259

Review 8.  An Interplay between Epigenetics and Translation in Oocyte Maturation and Embryo Development: Assisted Reproduction Perspective.

Authors:  Michal Dvoran; Lucie Nemcova; Jaroslav Kalous
Journal:  Biomedicines       Date:  2022-07-13

9.  Genome-wide comparison and in silico analysis of splicing factor SYF2/NTC31/p29 in eukaryotes: Special focus on vertebrates.

Authors:  Bao-Xing Huang; Zi-Chang Jia; Xue Yang; Chao-Lin Cheng; Xiao-Rong Liu; Jianhua Zhang; Mo-Xian Chen; Jing-Fang Yang; Yun-Sheng Chen
Journal:  Front Genet       Date:  2022-09-02       Impact factor: 4.772

  9 in total

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