多囊卵巢综合征(PCOS)的计算系统生物学方法

N. Afiqah‐Aleng, Mohamed-Hussein Za
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引用次数: 2

摘要

多囊卵巢综合征(PCOS)是一种影响育龄妇女的内分泌紊乱。这种综合征会产生各种后果,从生殖、皮肤、神经和精神问题到代谢综合征的不同特征。由于多囊卵巢综合征的复杂性,候选基因方法不足以了解其分子机制。系统生物学方法需要结合实验生物学和计算生物学来理解复杂的生物系统,可用于检查导致多囊卵巢综合征的多种相互作用基因及其产物。这篇简短的交流讨论了在PCOS中进行的可用组学研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational Systems Biology Approach on Polycystic Ovarian Syndrome (PCOS)
Polycystic ovarian syndrome (PCOS) is an endocrine disorder that affects women at reproductive age. This syndrome gives rise to various consequences, from reproductive, dermatological, nervous and psychiatric problems to different features of metabolic syndrome. Due to the complexity of PCOS, candidate gene approaches are insufficient to understand its molecular mechanism. A systems biology approach that requires strong integration of experimental and computational biology to understand the complex biological systems could be used in examining multiple interacting genes and their products that lead to PCOS. This short communication discusses the available omics studies that have been conducted in PCOS.
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