University of Melbourne Department of Obstetrics and Gynaecology, Melbourne, Victoria, Australia.
Royal Women's Hospital, Melbourne, Victoria, Australia.
Nat Commun. 2023 Oct 6;14(1):6222. doi: 10.1038/s41467-023-41979-z.
Natural variability in menstrual cycle length, coupled with rapid changes in endometrial gene expression, makes it difficult to accurately define and compare different stages of the endometrial cycle. Here we develop and validate a method for precisely determining endometrial cycle stage based on global gene expression. Our 'molecular staging model' reveals significant and remarkably synchronised daily changes in expression for over 3400 endometrial genes throughout the cycle, with the most dramatic changes occurring during the secretory phase. Our study significantly extends existing data on the endometrial transcriptome, and for the first time enables identification of differentially expressed endometrial genes with increasing age and different ethnicities. It also allows reinterpretation of all endometrial RNA-seq and array data that has been published to date. Our molecular staging model will significantly advance understanding of endometrial-related disorders that affect nearly all women at some stage of their lives, such as heavy menstrual bleeding, endometriosis, adenomyosis, and recurrent implantation failure.
月经周期长度的自然变化，加上子宫内膜基因表达的快速变化，使得准确定义和比较子宫内膜周期的不同阶段变得困难。在这里，我们开发并验证了一种基于全局基因表达精确确定子宫内膜周期阶段的方法。我们的“分子分期模型”揭示了超过 3400 个子宫内膜基因在整个周期中表达的显著且非常同步的每日变化，其中最明显的变化发生在分泌期。我们的研究显著扩展了现有的子宫内膜转录组数据，并首次能够识别随年龄增长和不同种族而变化的差异表达的子宫内膜基因。它还允许重新解释迄今为止已发表的所有子宫内膜 RNA-seq 和阵列数据。我们的分子分期模型将极大地促进对影响几乎所有女性在其生命的某个阶段的子宫内膜相关疾病的理解，例如月经过多、子宫内膜异位症、子宫腺肌病和反复着床失败。
