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Follicular development and ovary aging: single-cell studies.
Zhao, Hong; Wang, Yifu; Yang, Yihua.
Afiliação
  • Zhao H; Guangxi Reproductive Medical Center, the First Affiliated Hospital of Guangxi Medical University, Nanning, China, 530021.
  • Wang Y; Guangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, Nanning, China, 530021.
  • Yang Y; Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, China, 530021.
Biol Reprod ; 2023 Jul 28.
Article em En | MEDLINE | ID: mdl-37504504
Follicular development is a critical process in reproductive biology that determines the number of oocytes and interacts with various cells within the follicle (such as oocytes, granulosa cells, cumulus cells and theca cells, etc.), and plays a vital role in fertility and reproductive health due to the dogma of a limited number of oogonia. Dysregulation of follicular development can lead to infertility problems and other reproductive disorders. To explore the physiological and pathological mechanisms of follicular development, immunology-based methods, microarrays, and next-generation sequencing have traditionally been used for characterization at the tissue level. However, with the proliferation of single-cell sequencing techniques, research has uncovered unique molecular mechanisms in individual cells that have been masked by previous holistic analyses. In this review, we briefly summarize the achievements and limitations of traditional methods in the study of follicular development. Simultaneously, we focus on how to understand the physiological process of follicular development at the single-cell level and reveal the relevant mechanisms leading to the pathology of follicular development and intervention targets. Moreover, we also summarize the limitations and application prospects of single cell sequencing in follicular development research.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article