Identification of Biomarkers for Predicting Ovarian Reserve of Primordial Follicle via Transcriptomic Analysis

Li Liu; Li Liu; Biting Liu; Ke Li; Chunyan Wang; Yan Xie; Ning Luo; Ning Luo; Lian Wang; Lian Wang; Yaoqi Sun; Yaoqi Sun; Wei Huang; Wei Huang; Zhongping Cheng; Zhongping Cheng; Shupeng Liu; Shupeng Liu

doi:10.3389/fgene.2022.879974

Frontiers in Genetics (May 2022)

Identification of Biomarkers for Predicting Ovarian Reserve of Primordial Follicle via Transcriptomic Analysis

Li Liu,
Li Liu,
Biting Liu,
Ke Li,
Chunyan Wang,
Yan Xie,
Ning Luo,
Ning Luo,
Lian Wang,
Lian Wang,
Yaoqi Sun,
Yaoqi Sun,
Wei Huang,
Wei Huang,
Zhongping Cheng,
Zhongping Cheng,
Shupeng Liu,
Shupeng Liu

Affiliations

Li Liu: Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Li Liu: Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
Biting Liu: Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Ke Li: Department of Clinical Laboratory Medicine, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Chunyan Wang: Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Yan Xie: Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Ning Luo: Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Ning Luo: Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
Lian Wang: Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Lian Wang: Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
Yaoqi Sun: Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Yaoqi Sun: Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
Wei Huang: Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Wei Huang: Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
Zhongping Cheng: Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Zhongping Cheng: Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
Shupeng Liu: Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
Shupeng Liu: Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China

DOI: https://doi.org/10.3389/fgene.2022.879974
Journal volume & issue: Vol. 13

Abstract

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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 Lhx8, Nobox, Sohlh1, Tbpl2, Stk31, and Padi6 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.

Published in Frontiers in Genetics

ISSN: 1664-8021 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Science: Biology (General): Genetics
Website: http://journal.frontiersin.org/journal/genetics

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