背景(考古学)
组学
代谢组学
表观遗传学
蛋白质组学
生物
基因组学
生物信息学
计算生物学
生理学
数据科学
基因组
计算机科学
遗传学
DNA甲基化
古生物学
基因表达
基因
作者
Simin Wei,Weicheng Tang,Dan Chen,Jiaqiang Xiong,Liru Xue,Yun Dai,Yican Guo,Chuqing Wu,Jun Dai,Meng Wu,Shixuan Wang
标识
DOI:10.1016/j.arr.2024.102245
摘要
The human female reproductive lifespan significantly diminishes with age, leading to decreased fertility, reduced fertility quality and endocrine function disorders. While many aspects of aging in general have been extensively documented, the precise mechanisms governing programmed aging in the female reproductive system remain elusive. Recent advancements in omics technologies and computational capabilities have facilitated the emergence of multiomics deep phenotyping. Through the application and refinement of various high-throughput omics methods, a substantial volume of omics data has been generated, deepening our comprehension of the pathogenesis and molecular underpinnings of reproductive aging. This review highlights current and emerging multiomics approaches for investigating female reproductive aging, encompassing genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics. We elucidate their influence on fundamental cell biology and translational research in the context of reproductive aging, address the limitations and current challenges associated with multiomics studies, and offer a glimpse into future prospects.
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