Liu Li, Liu Biting, Li Ke, Wang Chunyan, Xie Yan, Luo Ning, Wang Lian, Sun Yaoqi, Huang Wei, Cheng Zhongping, Liu Shupeng
Department of Obstetrics and Gynecology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China.
Front Genet. 2022 May 25;13:879974. doi: 10.3389/fgene.2022.879974. eCollection 2022.
Ovarian reserve (OR) is mainly determined by the number of primordial follicles in the ovary and continuously depleted until ovarian senescence. With the development of assisted reproductive technology such as ovarian tissue cryopreservation and autotransplantation, growing demand has arisen for objective assessment of OR at the histological level. However, no specific biomarkers of OR can be used effectively in clinic nowadays. Herein, bulk RNA-seq datasets of the murine ovary with the biological ovarian age (BOA) dynamic changes and single-cell RNA-seq datasets of follicles at different stages of folliculogenesis were obtained from the GEO database to identify gene signature correlated to the primordial follicle pool. The correlations between gene signature expression and OR were also validated in several comparative OR models. The results showed that genes including , , , , and were highly correlated to the OR of the primordial follicle pool, suggesting that these genes might be used as biomarkers for predicting OR at the histological level.
卵巢储备(OR)主要由卵巢中原始卵泡的数量决定,并在卵巢衰老前持续消耗。随着卵巢组织冷冻保存和自体移植等辅助生殖技术的发展,在组织学水平上对OR进行客观评估的需求日益增长。然而,目前尚无特异性的OR生物标志物可有效应用于临床。在此,从基因表达综合数据库(GEO数据库)获取了具有生物学卵巢年龄(BOA)动态变化的小鼠卵巢批量RNA测序数据集以及卵泡发生不同阶段卵泡的单细胞RNA测序数据集,以鉴定与原始卵泡库相关的基因特征。在多个比较性OR模型中也验证了基因特征表达与OR之间的相关性。结果表明,包括[具体基因名称未给出]等基因与原始卵泡库的OR高度相关,提示这些基因可能作为组织学水平预测OR的生物标志物。