生物信息学技术在生殖领域中的研究进展

doi:10.12280/gjszjk.20220361

摘要/Abstract

摘要：

生物信息学（bioinformatics）在生殖系统的研究中被广泛应用于各个技术层面，包括基因组、转录组、蛋白组和代谢组。通过数据的系统化采集和可视化处理，生殖过程中各种关键分子的作用机制正逐步被发现并阐明。生物信息学技术在生殖系统研究中的应用，既在保障严谨性和科学性的基础上有效地推动了生殖系统研究的发展与创新，如从基因组、转录组、蛋白组和代谢组等不同层次水平上分析生殖系统中不同器官的正常功能或其异常病理现象；同时也促进了生殖系统相关疾病临床诊断和治疗的进展，如在对疾病诊治中，新的临床疾病标志物及药物靶点的发现等。综述近年生殖医学前沿研究的最新生物信息学技术并总结现有生殖医学相关生物信息学研究的主要进展，这也为后续的各类研究提供了重要的方向和思路。

关键词: 泌尿生殖系统, 计算信息学, 基因组, 转录组, 蛋白质组, 代谢组

Abstract:

Bioinformatics is widely used in the studies of reproductive system at various technical levels, including genome, transcriptome, proteome and metabolome. Through systematic data collection and visual processing, the mechanisms of key molecules in the reproductive process have been gradually discovered and elucidated. The application of bioinformatics technology in reproductive system not only has effectively promoted the development and innovation of reproductive system research on the basis of ensuring preciseness and scientificity, such as analyses of the normal functions, abnormal and pathological phenomena of different reproduction organs at the different levels of genome, transcriptome, proteome and metabolome, but also has enhanced the progress of clinical diagnosis and treatment of the related diseases in reproductive system, such as the discoveries of new disease markers and drug targets for the diagnosis and treatment. In this review, we mainly introduced the latest bioinformatics technologies in the reproductive medicine in recent years. Meanwhile, we also summarized the current research progress in reproductive system using bioinformatics, which may provide some key guidance and ideas for future research.

Key words: Urogenital system, Computational biology, Genome, Transcriptome, Proteome, Metabolome

周理韡, 郑书栋, 黄硕, 鲁婷, 刘悦, 丁之德. 生物信息学技术在生殖领域中的研究进展[J]. 国际生殖健康/计划生育, 2022, 41(6): 487-493.

ZHOU Li-wei, ZHENG Shu-dong, HUANG Shuo, LU Ting, LIU Yue, DING Zhi-de. Research Progress of Bioinformatics Technology in Reproductive System[J]. Journal of International Reproductive Health/Family Planning, 2022, 41(6): 487-493.

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