Transcriptomic analysis of endometrial receptivity for a genomic diagnostics model of Chinese women

转录组 子宫内膜 月经周期 生物 基因 RNA序列 人口 医学 内科学 计算生物学 肿瘤科 生理学 男科 基因表达 激素 遗传学 环境卫生
作者
Wenbi Zhang,Qing X. Li,Hu Liu,Weijian Chen,Chunlei Zhang,He Li,Xiang Lu,Junling Chen,Liwu Li,Han Wu,Xiaoxi Sun
出处
期刊:Fertility and Sterility [Elsevier BV]
卷期号:116 (1): 157-164 被引量:3
标识
DOI:10.1016/j.fertnstert.2020.11.010
摘要

Objective

To define the transcriptomic signature with respect to human endometrial receptivity in Chinese women by next-generation sequencing and to develop a more refined and customized bioinformatic predictive method for endometrial dating in Chinese women.

Design

Randomized.

Setting

A tertiary hospital−based reproductive medicine center.

Patient(s)

Ninety healthy, fertile Chinese women.

Intervention(s)

Human endometrial biopsies.

Main Outcome Measure(s)

Gene expression of endometrial biopsies.

Result(s)

Ninety endometrial samples from healthy Chinese women during their menstrual cycles—including prereceptive (luteinizing hormone [LH] + 3 days/LH + 5 days), receptive (LH + 7 days), and post-receptive (LH + 9 days) phases—were subjected to transcriptomic analysis using messenger RNA (mRNA)-enriched RNA-Seq. Feature genes were obtained and used to train the predictor for endometrial dating, with 63 samples for the training set and 27 samples for the validation set. Differentially expressed genes (DEGs) were identified by comparing samples from different phases of the menstrual cycle. Based on the transcriptomic feature genes, we constructed a bioinformatic predictor for endometrial dating. The accuracy on assessment of the endometrium on days LH + 3, LH + 5, LH + 7, and LH + 9 was 100% in the training set and 85.19% in the validation set.

Conclusion(s)

Our transcriptomic profiling method can be used to monitor the window of implantation with regard to the endometrium in the Chinese population. This method potentially provides an evaluation of endometrial status, and can be used to predict a personal window of implantation by reproductive medicine clinicians.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
3秒前
852应助青衫采纳,获得10
3秒前
大面包发布了新的文献求助10
3秒前
4秒前
graham1101发布了新的文献求助10
5秒前
凉小远完成签到,获得积分10
6秒前
依沫发布了新的文献求助10
6秒前
8秒前
wufeng发布了新的文献求助10
9秒前
9秒前
量子星尘发布了新的文献求助10
9秒前
磕磕发布了新的文献求助10
11秒前
Liufgui应助橙果果采纳,获得20
11秒前
脑洞疼应助飞快的剑愁采纳,获得10
12秒前
科研通AI2S应助凉小远采纳,获得10
13秒前
科研通AI2S应助凉小远采纳,获得10
13秒前
15秒前
认真的雪完成签到,获得积分10
16秒前
Orange应助油菜的星星采纳,获得10
16秒前
17秒前
爱吃猫的鱼完成签到,获得积分10
19秒前
19秒前
20秒前
沉淀完成签到 ,获得积分10
21秒前
www小飞发布了新的文献求助10
22秒前
北风完成签到 ,获得积分10
23秒前
会飞的YU发布了新的文献求助30
25秒前
27秒前
28秒前
32秒前
慕青应助磕磕采纳,获得10
32秒前
34秒前
ewetylgkhlj完成签到,获得积分20
35秒前
35秒前
付博发布了新的文献求助10
38秒前
40秒前
无敌是多么寂寞完成签到,获得积分10
40秒前
科研达人发布了新的文献求助30
42秒前
42秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3988975
求助须知:如何正确求助?哪些是违规求助? 3531316
关于积分的说明 11253424
捐赠科研通 3269917
什么是DOI,文献DOI怎么找? 1804830
邀请新用户注册赠送积分活动 882063
科研通“疑难数据库(出版商)”最低求助积分说明 809068